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Posted to commits@tvm.apache.org by lm...@apache.org on 2020/12/03 15:51:26 UTC
[tvm-site] branch asf-site updated: Docs build at Thu Dec 3
07:50:14 PST 2020
This is an automated email from the ASF dual-hosted git repository.
lmzheng pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/tvm-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new ba6ae93 Docs build at Thu Dec 3 07:50:14 PST 2020
ba6ae93 is described below
commit ba6ae935ede1361656901eaa85e40d834be41f36
Author: Lianmin Zheng <li...@gmail.com>
AuthorDate: Thu Dec 3 07:50:15 2020 -0800
Docs build at Thu Dec 3 07:50:14 PST 2020
---
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docs/api/typedoc/classes/module.html | 11 +-
docs/api/typedoc/classes/ndarray.html | 23 +-
docs/api/typedoc/classes/packedfunccell.html | 7 +-
docs/api/typedoc/classes/rpcserver.html | 15 +-
docs/api/typedoc/classes/scalar.html | 7 +-
docs/api/typedoc/classes/webgpucontext.html | 13 +-
docs/api/typedoc/enums/argtypecode.html | 31 +-
docs/api/typedoc/enums/aynccallbackcode.html | 5 +-
docs/api/typedoc/enums/dldatatypecode.html | 9 +-
docs/api/typedoc/enums/rpcserverstate.html | 13 +-
docs/api/typedoc/enums/sizeof.html | 19 +-
docs/api/typedoc/index.html | 115 +-
docs/api/typedoc/interfaces/disposable.html | 3 +-
docs/api/typedoc/interfaces/functioninfo.html | 7 +-
docs/api/typedoc/interfaces/libraryprovider.html | 5 +-
docs/genindex.html | 52 +-
docs/install/from_source.html | 5 +-
docs/objects.inv | Bin 17463 -> 17540 bytes
docs/searchindex.js | 2 +-
.../auto_scheduler/sg_execution_times.html | 8 +-
.../auto_scheduler/tune_conv2d_layer_cuda.html | 900 ++-
docs/tutorials/auto_scheduler/tune_matmul_x86.html | 4 +-
.../auto_scheduler/tune_network_cuda.html | 10 +-
docs/tutorials/autotvm/sg_execution_times.html | 14 +-
docs/tutorials/autotvm/tune_conv2d_cuda.html | 42 +-
docs/tutorials/autotvm/tune_simple_template.html | 20 +-
docs/tutorials/dev/low_level_custom_pass.html | 4 +-
docs/tutorials/dev/sg_execution_times.html | 8 +-
.../frontend/deploy_model_on_android.html | 2 +-
.../frontend/deploy_object_detection_pytorch.html | 5 +-
docs/tutorials/frontend/deploy_prequantized.html | 6 +-
.../frontend/deploy_prequantized_tflite.html | 4 +-
docs/tutorials/frontend/deploy_ssd_gluoncv.html | 2 +-
docs/tutorials/frontend/from_pytorch.html | 8 +-
docs/tutorials/frontend/from_tensorflow.html | 768 +--
docs/tutorials/frontend/sg_execution_times.html | 40 +-
.../get_started/cross_compilation_and_rpc.html | 2 +-
docs/tutorials/get_started/relay_quick_start.html | 120 +-
docs/tutorials/get_started/sg_execution_times.html | 10 +-
.../get_started/tensor_expr_get_started.html | 2 +-
docs/tutorials/language/schedule_primitives.html | 20 +-
docs/tutorials/language/sg_execution_times.html | 18 +-
docs/tutorials/language/tensorize.html | 8 +-
docs/tutorials/language/tuple_inputs.html | 10 +-
docs/tutorials/micro/micro_reference_vm.html | 8 +-
docs/tutorials/micro/micro_tflite.html | 2 +-
docs/tutorials/micro/sg_execution_times.html | 6 +-
docs/tutorials/optimize/opt_conv_cuda.html | 2 +-
docs/tutorials/optimize/opt_conv_tensorcore.html | 6 +-
docs/tutorials/optimize/opt_gemm.html | 24 +-
docs/tutorials/optimize/sg_execution_times.html | 10 +-
docs/tutorials/topi/intro_topi.html | 2 +-
docs/tutorials/topi/sg_execution_times.html | 4 +-
docs/vta/tutorials/autotvm/sg_execution_times.html | 4 +-
docs/vta/tutorials/autotvm/tune_relay_vta.html | 186 +-
.../tutorials/frontend/deploy_classification.html | 18 +-
.../vta/tutorials/frontend/sg_execution_times.html | 4 +-
docs/vta/tutorials/matrix_multiply.html | 4 +-
.../vta/tutorials/optimize/sg_execution_times.html | 6 +-
docs/vta/tutorials/sg_execution_times.html | 6 +-
docs/vta/tutorials/vta_get_started.html | 4 +-
406 files changed, 25086 insertions(+), 22819 deletions(-)
diff --git a/docs/_downloads/08e39628455fe618afd9eb5b958a433e/micro_reference_vm.ipynb b/docs/_downloads/08e39628455fe618afd9eb5b958a433e/micro_reference_vm.ipynb
index 883348e..94da6cd 100644
--- a/docs/_downloads/08e39628455fe618afd9eb5b958a433e/micro_reference_vm.ipynb
+++ b/docs/_downloads/08e39628455fe618afd9eb5b958a433e/micro_reference_vm.ipynb
@@ -15,7 +15,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "\n# microTVM Reference Virtual Machines\n\n**Author**: `Andrew Reusch <ar...@octoml.ai>`_\n\nThis tutorial explains how to launch microTVM Reference Virtual Machines. You can use these to\ndevelop on real physical hardware without needing to individually install the microTVM\ndependencies. These are also particularly useful when trying to reproduce behavior with\nmicroTVM, such as when filing bug reports.\n\nmicroTVM is the effort to allow TVM to build and execute models on ba [...]
+ "\n# microTVM Reference Virtual Machines\n\n**Author**: `Andrew Reusch <ar...@octoml.ai>`_\n\nThis tutorial explains how to launch microTVM Reference Virtual Machines. You can use these to\ndevelop on real physical hardware without needing to individually install the microTVM\ndependencies. These are also particularly useful when trying to reproduce behavior with\nmicroTVM, such as when filing bug reports.\n\nmicroTVM is the effort to allow TVM to build and execute models on ba [...]
]
}
],
diff --git a/docs/_downloads/2771a7fc8bf8eeb7788823ff349aacc0/tune_network_cuda.py b/docs/_downloads/2771a7fc8bf8eeb7788823ff349aacc0/tune_network_cuda.py
index 723b8d1..8f8cf7f 100644
--- a/docs/_downloads/2771a7fc8bf8eeb7788823ff349aacc0/tune_network_cuda.py
+++ b/docs/_downloads/2771a7fc8bf8eeb7788823ff349aacc0/tune_network_cuda.py
@@ -167,7 +167,7 @@ for idx, task in enumerate(tasks):
# during measurement and avoid other runtime conflicts.
# * :code:`min_repeat_ms` defines the minimum duration of one "repeat" in every measurement.
# This can warmup the GPU, which is necessary to get accurate measurement results.
-# Typically, we recommend a value > 300 ms.
+# Typically, we recommend a value >= 300 ms.
# * :code:`num_measure_trials` is the number of measurement trials we can use during the tuning.
# You can set it to a small number (e.g., 200) for a fast demonstrative run.
# In practice, we recommend setting it around :code:`1000 * len(tasks)`,
@@ -184,7 +184,7 @@ for idx, task in enumerate(tasks):
def run_tuning():
print("Begin tuning...")
- measure_ctx = auto_scheduler.LocalRPCMeasureContext(repeat=1, min_repeat_ms=400, timeout=10)
+ measure_ctx = auto_scheduler.LocalRPCMeasureContext(repeat=1, min_repeat_ms=300, timeout=10)
tuner = auto_scheduler.TaskScheduler(tasks, task_weights)
tune_option = auto_scheduler.TuningOptions(
diff --git a/docs/_downloads/678f3c372a599a18d909aed0fefb30be/tune_conv2d_layer_cuda.py b/docs/_downloads/678f3c372a599a18d909aed0fefb30be/tune_conv2d_layer_cuda.py
index a28e98b..9aeea84 100644
--- a/docs/_downloads/678f3c372a599a18d909aed0fefb30be/tune_conv2d_layer_cuda.py
+++ b/docs/_downloads/678f3c372a599a18d909aed0fefb30be/tune_conv2d_layer_cuda.py
@@ -85,7 +85,7 @@ print(task.compute_dag)
# during measurement and avoid other runtime conflicts.
# * :code:`min_repeat_ms` defines the minimum duration of one "repeat" in every measurement.
# This can warmup the GPU, which is necessary to get accurate measurement results.
-# Typically, we recommend a value > 300 ms.
+# Typically, we recommend a value >= 300 ms.
# * :code:`num_measure_trials` is the number of measurement trials we can use during the search.
# We only make 10 trials in this tutorial for a fast demonstration. In practice, 1000 is a
# good value for the search to converge. You can do more trials according to your time budget.
diff --git a/docs/_downloads/77322ea21ff00abad461e549895ef1d8/micro_reference_vm.py b/docs/_downloads/77322ea21ff00abad461e549895ef1d8/micro_reference_vm.py
index dec1be9..4b449a0 100644
--- a/docs/_downloads/77322ea21ff00abad461e549895ef1d8/micro_reference_vm.py
+++ b/docs/_downloads/77322ea21ff00abad461e549895ef1d8/micro_reference_vm.py
@@ -61,7 +61,8 @@ A minimal set of prerequisites are needed:
1. `Vagrant <https://vagrantup.com>`__
2. A supported Virtual Machine hypervisor.
`VirtualBox <https://www.virtualbox.org>`__ is one suggested free hypervisor, but please note
- that the `VirtualBox Extension Pack`_ is required for proper USB forwarding.
+ that the `VirtualBox Extension Pack`_ is required for proper USB forwarding. If using VirtualBox,
+ also consider installing the `vbguest <https://github.com/dotless-de/vagrant-vbguest>`_ plugin.
.. _VirtualBox Extension Pack: https://www.virtualbox.org/wiki/Downloads#VirtualBox6.1.16OracleVMVirtualBoxExtensionPack
@@ -72,9 +73,10 @@ The first time you use a reference VM, you need to create the box locally and th
.. code-block:: bash
- ~/.../tvm $ cd apps/microtvm-vm
+ # Replace zepyhr with the name of a different platform, if you are not using Zephyr.
+ ~/.../tvm $ cd apps/microtvm/reference-vm/zephyr
# Replace <provider_name> with the name of the hypervisor you wish to use (i.e. virtualbox).
- ~/.../tvm/apps/microtvm/vm $ vagrant up --provider=<provider_name>
+ ~/.../tvm/apps/microtvm/reference-vm/zephyr $ vagrant up --provider=<provider_name>
This command will take a couple of minutes to run and will require 4 to 5GB of storage on your
diff --git a/docs/_downloads/bcb4a24e8acc1ca84214bc8d7fb7954b/tune_conv2d_layer_cuda.ipynb b/docs/_downloads/bcb4a24e8acc1ca84214bc8d7fb7954b/tune_conv2d_layer_cuda.ipynb
index 8dd3ff1..cc88812 100644
--- a/docs/_downloads/bcb4a24e8acc1ca84214bc8d7fb7954b/tune_conv2d_layer_cuda.ipynb
+++ b/docs/_downloads/bcb4a24e8acc1ca84214bc8d7fb7954b/tune_conv2d_layer_cuda.ipynb
@@ -69,7 +69,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Next, we set parameters for the auto-scheduler. These parameters\nmainly specify how we do the measurement during the search.\n\n* :code:`measure_ctx` launches a different process for measurement to\n provide isolation. It can protect the master process from GPU crashes\n during measurement and avoid other runtime conflicts.\n* :code:`min_repeat_ms` defines the minimum duration of one \"repeat\" in every measurement.\n This can warmup the GPU, which is necessary to get accura [...]
+ "Next, we set parameters for the auto-scheduler. These parameters\nmainly specify how we do the measurement during the search.\n\n* :code:`measure_ctx` launches a different process for measurement to\n provide isolation. It can protect the master process from GPU crashes\n during measurement and avoid other runtime conflicts.\n* :code:`min_repeat_ms` defines the minimum duration of one \"repeat\" in every measurement.\n This can warmup the GPU, which is necessary to get accura [...]
]
},
{
diff --git a/docs/_downloads/dad91669fd0ea707f1374fe331b0dffe/tune_network_cuda.ipynb b/docs/_downloads/dad91669fd0ea707f1374fe331b0dffe/tune_network_cuda.ipynb
index b3df1b7..75c5863 100644
--- a/docs/_downloads/dad91669fd0ea707f1374fe331b0dffe/tune_network_cuda.ipynb
+++ b/docs/_downloads/dad91669fd0ea707f1374fe331b0dffe/tune_network_cuda.ipynb
@@ -69,7 +69,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Begin Tuning\n------------\nNow, we set some options for tuning and launch the search tasks\n\n* :code:`measure_ctx` launches a different process for measurement to\n provide isolation. It can protect the master process from GPU crashes\n during measurement and avoid other runtime conflicts.\n* :code:`min_repeat_ms` defines the minimum duration of one \"repeat\" in every measurement.\n This can warmup the GPU, which is necessary to get accurate measurement results.\n Typical [...]
+ "Begin Tuning\n------------\nNow, we set some options for tuning and launch the search tasks\n\n* :code:`measure_ctx` launches a different process for measurement to\n provide isolation. It can protect the master process from GPU crashes\n during measurement and avoid other runtime conflicts.\n* :code:`min_repeat_ms` defines the minimum duration of one \"repeat\" in every measurement.\n This can warmup the GPU, which is necessary to get accurate measurement results.\n Typical [...]
]
},
{
@@ -80,7 +80,7 @@
},
"outputs": [],
"source": [
- "def run_tuning():\n print(\"Begin tuning...\")\n measure_ctx = auto_scheduler.LocalRPCMeasureContext(repeat=1, min_repeat_ms=400, timeout=10)\n\n tuner = auto_scheduler.TaskScheduler(tasks, task_weights)\n tune_option = auto_scheduler.TuningOptions(\n num_measure_trials=200, # change this to 20000 to achieve the best performance\n runner=measure_ctx.runner,\n measure_callbacks=[auto_scheduler.RecordToFile(log_file)],\n )\n\n tuner.tune(tun [...]
+ "def run_tuning():\n print(\"Begin tuning...\")\n measure_ctx = auto_scheduler.LocalRPCMeasureContext(repeat=1, min_repeat_ms=300, timeout=10)\n\n tuner = auto_scheduler.TaskScheduler(tasks, task_weights)\n tune_option = auto_scheduler.TuningOptions(\n num_measure_trials=200, # change this to 20000 to achieve the best performance\n runner=measure_ctx.runner,\n measure_callbacks=[auto_scheduler.RecordToFile(log_file)],\n )\n\n tuner.tune(tun [...]
]
},
{
diff --git a/docs/_sources/tutorials/auto_scheduler/sg_execution_times.rst.txt b/docs/_sources/tutorials/auto_scheduler/sg_execution_times.rst.txt
index 59f40b3..ed5a1fb 100644
--- a/docs/_sources/tutorials/auto_scheduler/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorials/auto_scheduler/sg_execution_times.rst.txt
@@ -5,8 +5,8 @@
Computation times
=================
-**04:02.449** total execution time for **tutorials_auto_scheduler** files:
+**03:41.695** total execution time for **tutorials_auto_scheduler** files:
-- **01:49.095**: :ref:`sphx_glr_tutorials_auto_scheduler_tune_matmul_x86.py` (``tune_matmul_x86.py``)
-- **01:40.877**: :ref:`sphx_glr_tutorials_auto_scheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``)
-- **00:32.477**: :ref:`sphx_glr_tutorials_auto_scheduler_tune_network_cuda.py` (``tune_network_cuda.py``)
+- **01:48.369**: :ref:`sphx_glr_tutorials_auto_scheduler_tune_matmul_x86.py` (``tune_matmul_x86.py``)
+- **01:21.952**: :ref:`sphx_glr_tutorials_auto_scheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``)
+- **00:31.374**: :ref:`sphx_glr_tutorials_auto_scheduler_tune_network_cuda.py` (``tune_network_cuda.py``)
diff --git a/docs/_sources/tutorials/auto_scheduler/tune_conv2d_layer_cuda.rst.txt b/docs/_sources/tutorials/auto_scheduler/tune_conv2d_layer_cuda.rst.txt
index ffb0d25..71b44fb 100644
--- a/docs/_sources/tutorials/auto_scheduler/tune_conv2d_layer_cuda.rst.txt
+++ b/docs/_sources/tutorials/auto_scheduler/tune_conv2d_layer_cuda.rst.txt
@@ -117,7 +117,7 @@ mainly specify how we do the measurement during the search.
during measurement and avoid other runtime conflicts.
* :code:`min_repeat_ms` defines the minimum duration of one "repeat" in every measurement.
This can warmup the GPU, which is necessary to get accurate measurement results.
- Typically, we recommend a value > 300 ms.
+ Typically, we recommend a value >= 300 ms.
* :code:`num_measure_trials` is the number of measurement trials we can use during the search.
We only make 10 trials in this tutorial for a fast demonstration. In practice, 1000 is a
good value for the search to converge. You can do more trials according to your time budget.
@@ -205,521 +205,409 @@ cooperative fetching, unrolling and operator fusion.
primfn(data_1: handle, kernel_1: handle, bias_1: handle, compute_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {compute: Buffer(compute_2: Pointer(float32), float32, [1, 512, 7, 7], []),
- bias: Buffer(bias_2: Pointer(float32), float32, [1, 512, 1, 1], []),
+ buffers = {bias: Buffer(bias_2: Pointer(float32), float32, [1, 512, 1, 1], []),
+ compute: Buffer(compute_2: Pointer(float32), float32, [1, 512, 7, 7], []),
kernel: Buffer(kernel_2: Pointer(float32), float32, [512, 512, 3, 3], []),
data: Buffer(data_2: Pointer(float32), float32, [1, 512, 7, 7], [])}
buffer_map = {data_1: data, kernel_1: kernel, bias_1: bias, compute_1: compute} {
- attr [IterVar(blockIdx.x: int32, (nullptr), "ThreadIndex", "blockIdx.x")] "thread_extent" = 128;
+ attr [IterVar(blockIdx.x: int32, (nullptr), "ThreadIndex", "blockIdx.x")] "thread_extent" = 14;
attr [compute_3: Pointer(float32)] "storage_scope" = "local";
- allocate(compute_3, float32, [4]);
+ allocate(compute_3, float32, [8]);
attr [pad_temp.shared: Pointer(float32)] "storage_scope" = "shared";
- allocate(pad_temp.shared, float32, [2016]);
+ allocate(pad_temp.shared, float32, [108]);
attr [kernel.shared: Pointer(float32)] "storage_scope" = "shared";
- allocate(kernel.shared, float32, [384]);
- attr [IterVar(threadIdx.x: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49 {
+ allocate(kernel.shared, float32, [9216]);
+ attr [IterVar(threadIdx.x: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224 {
compute_3[0] = 0f32
compute_3[1] = 0f32
compute_3[2] = 0f32
compute_3[3] = 0f32
- for (rc.outer.outer: int32, 0, 16) {
- for (ry.outer.outer: int32, 0, 3) {
- attr [IterVar(threadIdx.x_1: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[threadIdx.x_1] = @tir.if_then_else((((1 <= (floordiv(threadIdx.x_1, 9) + ry.outer.outer)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv(threadIdx.x_1, 9)*7)) + (ry.outer.outer*7)) + floormod(threadIdx.x_1, 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 49)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 49), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 49), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 49), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 4), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 98)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 35), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 35), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 98), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 8), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 147)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 21), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 21), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 147), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 3), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 196)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 7), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 7), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 196), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 7), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 245)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 56), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 56), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 245), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 2), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 294)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 42), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 42), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 294), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 6), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 343)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 28), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 28), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 343), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 1), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 392)] = @tir.if_then_else(((((floordiv(floormod((threadIdx.x_1 + 14), 63), 9) + ry.outer.outer) < 8) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 392), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 5), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 441)] = @tir.if_then_else((((1 <= (floordiv(threadIdx.x_1, 9) + ry.outer.outer)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv(threadIdx.x_1, 9)*7)) + (ry.outer.outer*7)) + floormod(threadIdx.x_1, 9)) + 335)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 490)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 49), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 49), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 490), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 4), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 539)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 35), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 35), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 539), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 8), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 588)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 21), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 21), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 588), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 3), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 637)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 7), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 7), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 637), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 7), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 686)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 56), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 56), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 686), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 2), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 735)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 42), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 42), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 735), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 6), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 784)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 28), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 28), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 784), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 1), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 833)] = @tir.if_then_else(((((floordiv(floormod((threadIdx.x_1 + 14), 63), 9) + ry.outer.outer) < 8) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 833), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 5), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 882)] = @tir.if_then_else((((1 <= (floordiv(threadIdx.x_1, 9) + ry.outer.outer)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv(threadIdx.x_1, 9)*7)) + (ry.outer.outer*7)) + floormod(threadIdx.x_1, 9)) + 678)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 931)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 49), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 49), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 931), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 4), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 980)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 35), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 35), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 980), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 8), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1029)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 21), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 21), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1029), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 3), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1078)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 7), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 7), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1078), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 7), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1127)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 56), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 56), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1127), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 2), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1176)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 42), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 42), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1176), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 6), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1225)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 28), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 28), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1225), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 1), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1274)] = @tir.if_then_else(((((floordiv(floormod((threadIdx.x_1 + 14), 63), 9) + ry.outer.outer) < 8) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1274), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 5), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1323)] = @tir.if_then_else((((1 <= (floordiv(threadIdx.x_1, 9) + ry.outer.outer)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv(threadIdx.x_1, 9)*7)) + (ry.outer.outer*7)) + floormod(threadIdx.x_1, 9)) + 1021)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1372)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 49), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 49), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1372), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 4), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1421)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 35), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 35), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1421), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 8), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1470)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 21), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 21), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1470), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 3), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1519)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 7), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 7), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1519), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 7), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1568)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 56), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 56), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1568), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 2), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1617)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 42), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 42), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1617), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 6), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1666)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 28), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 28), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1666), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 1), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1715)] = @tir.if_then_else(((((floordiv(floormod((threadIdx.x_1 + 14), 63), 9) + ry.outer.outer) < 8) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1715), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 5), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1764)] = @tir.if_then_else((((1 <= (floordiv(threadIdx.x_1, 9) + ry.outer.outer)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv(threadIdx.x_1, 9)*7)) + (ry.outer.outer*7)) + floormod(threadIdx.x_1, 9)) + 1364)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1813)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 49), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 49), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1813), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 4), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1862)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 35), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 35), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1862), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 8), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1911)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 21), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 21), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1911), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 3), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- pad_temp.shared[(threadIdx.x_1 + 1960)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 7), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 7), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 1960), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 7), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49;
- if @tir.likely((threadIdx.x_1 < 7), dtype=bool) {
- pad_temp.shared[(threadIdx.x_1 + 2009)] = @tir.if_then_else((((floordiv(floormod((threadIdx.x_1 + 56), 63), 9) + ry.outer.outer) < 8) && (floormod((threadIdx.x_1 + 2), 9) < 8)), (float32*)data_2[(((((rc.outer.outer*1568) + (floordiv((threadIdx.x_1 + 2009), 9)*7)) + (ry.outer.outer*7)) + floormod((threadIdx.x_1 + 2), 9)) - 8)], 0f32, dtype=float32)
- }
- attr [IterVar(threadIdx.x_2: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49 {
- kernel.shared[(threadIdx.x_2*2)] = (float32*)kernel_2[((((((blockIdx.x*18432) + (floordiv(threadIdx.x_2, 48)*4608)) + (rc.outer.outer*288)) + (floordiv((floormod(threadIdx.x_2, 48)*2), 3)*9)) + (ry.outer.outer*3)) + floormod((threadIdx.x_2*2), 3))]
- kernel.shared[((threadIdx.x_2*2) + 1)] = (float32*)kernel_2[((((((blockIdx.x*18432) + (floordiv(((threadIdx.x_2*2) + 1), 96)*4608)) + (rc.outer.outer*288)) + (floordiv(floormod(((threadIdx.x_2*2) + 1), 96), 3)*9)) + (ry.outer.outer*3)) + floormod(((threadIdx.x_2*2) + 1), 3))]
- }
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49 {
- kernel.shared[((threadIdx.x_2*2) + 98)] = (float32*)kernel_2[((((((blockIdx.x*18432) + (floordiv(((threadIdx.x_2*2) + 98), 96)*4608)) + (rc.outer.outer*288)) + (floordiv(floormod(((threadIdx.x_2*2) + 2), 96), 3)*9)) + (ry.outer.outer*3)) + floormod(((threadIdx.x_2*2) + 2), 3))]
- kernel.shared[((threadIdx.x_2*2) + 99)] = (float32*)kernel_2[((((((blockIdx.x*18432) + (floordiv(((threadIdx.x_2*2) + 99), 96)*4608)) + (rc.outer.outer*288)) + (floordiv(floormod(((threadIdx.x_2*2) + 3), 96), 3)*9)) + (ry.outer.outer*3)) + floormod((threadIdx.x_2*2), 3))]
- }
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49 {
- kernel.shared[((threadIdx.x_2*2) + 196)] = (float32*)kernel_2[((((((blockIdx.x*18432) + (floordiv(((threadIdx.x_2*2) + 196), 96)*4608)) + (rc.outer.outer*288)) + (floordiv(floormod(((threadIdx.x_2*2) + 4), 96), 3)*9)) + (ry.outer.outer*3)) + floormod(((threadIdx.x_2*2) + 1), 3))]
- kernel.shared[((threadIdx.x_2*2) + 197)] = (float32*)kernel_2[((((((blockIdx.x*18432) + (floordiv(((threadIdx.x_2*2) + 197), 96)*4608)) + (rc.outer.outer*288)) + (floordiv(floormod(((threadIdx.x_2*2) + 5), 96), 3)*9)) + (ry.outer.outer*3)) + floormod(((threadIdx.x_2*2) + 2), 3))]
- }
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 49 {
- if @tir.likely((threadIdx.x_2 < 45), dtype=bool) {
- kernel.shared[((threadIdx.x_2*2) + 294)] = (float32*)kernel_2[((((((blockIdx.x*18432) + (floordiv(((threadIdx.x_2*2) + 294), 96)*4608)) + (rc.outer.outer*288)) + (floordiv(floormod(((threadIdx.x_2*2) + 6), 96), 3)*9)) + (ry.outer.outer*3)) + floormod((threadIdx.x_2*2), 3))]
- }
- if @tir.likely(((threadIdx.x_2*2) < 89), dtype=bool) {
- if @tir.likely((threadIdx.x_2 < 45), dtype=bool) {
- kernel.shared[((threadIdx.x_2*2) + 295)] = (float32*)kernel_2[((((((blockIdx.x*18432) + (floordiv(((threadIdx.x_2*2) + 295), 96)*4608)) + (rc.outer.outer*288)) + (floordiv(floormod(((threadIdx.x_2*2) + 7), 96), 3)*9)) + (ry.outer.outer*3)) + floormod(((threadIdx.x_2*2) + 1), 3))]
- }
- }
- }
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7))]*(float32*)kernel.shared[0]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7))]*(float32*)kernel.shared[96]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 63)]*(float32*)kernel.shared[3]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 63)]*(float32*)kernel.shared[99]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 126)]*(float32*)kernel.shared[6]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 126)]*(float32*)kernel.shared[102]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 189)]*(float32*)kernel.shared[9]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 189)]*(float32*)kernel.shared[105]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 252)]*(float32*)kernel.shared[12]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 252)]*(float32*)kernel.shared[108]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 315)]*(float32*)kernel.shared[15]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 315)]*(float32*)kernel.shared[111]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 378)]*(float32*)kernel.shared[18]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 378)]*(float32*)kernel.shared[114]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 441)]*(float32*)kernel.shared[21]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 441)]*(float32*)kernel.shared[117]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 504)]*(float32*)kernel.shared[24]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 504)]*(float32*)kernel.shared[120]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 567)]*(float32*)kernel.shared[27]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 567)]*(float32*)kernel.shared[123]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 630)]*(float32*)kernel.shared[30]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 630)]*(float32*)kernel.shared[126]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 693)]*(float32*)kernel.shared[33]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 693)]*(float32*)kernel.shared[129]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 756)]*(float32*)kernel.shared[36]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 756)]*(float32*)kernel.shared[132]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 819)]*(float32*)kernel.shared[39]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 819)]*(float32*)kernel.shared[135]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 882)]*(float32*)kernel.shared[42]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 882)]*(float32*)kernel.shared[138]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 945)]*(float32*)kernel.shared[45]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 945)]*(float32*)kernel.shared[141]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1008)]*(float32*)kernel.shared[48]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1008)]*(float32*)kernel.shared[144]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1071)]*(float32*)kernel.shared[51]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1071)]*(float32*)kernel.shared[147]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1134)]*(float32*)kernel.shared[54]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1134)]*(float32*)kernel.shared[150]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1197)]*(float32*)kernel.shared[57]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1197)]*(float32*)kernel.shared[153]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1260)]*(float32*)kernel.shared[60]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1260)]*(float32*)kernel.shared[156]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1323)]*(float32*)kernel.shared[63]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1323)]*(float32*)kernel.shared[159]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1386)]*(float32*)kernel.shared[66]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1386)]*(float32*)kernel.shared[162]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1449)]*(float32*)kernel.shared[69]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1449)]*(float32*)kernel.shared[165]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1512)]*(float32*)kernel.shared[72]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1512)]*(float32*)kernel.shared[168]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1575)]*(float32*)kernel.shared[75]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1575)]*(float32*)kernel.shared[171]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1638)]*(float32*)kernel.shared[78]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1638)]*(float32*)kernel.shared[174]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1701)]*(float32*)kernel.shared[81]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1701)]*(float32*)kernel.shared[177]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1764)]*(float32*)kernel.shared[84]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1764)]*(float32*)kernel.shared[180]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1827)]*(float32*)kernel.shared[87]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1827)]*(float32*)kernel.shared[183]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1890)]*(float32*)kernel.shared[90]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1890)]*(float32*)kernel.shared[186]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1953)]*(float32*)kernel.shared[93]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1953)]*(float32*)kernel.shared[189]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7))]*(float32*)kernel.shared[192]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7))]*(float32*)kernel.shared[288]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 63)]*(float32*)kernel.shared[195]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 63)]*(float32*)kernel.shared[291]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 126)]*(float32*)kernel.shared[198]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 126)]*(float32*)kernel.shared[294]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 189)]*(float32*)kernel.shared[201]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 189)]*(float32*)kernel.shared[297]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 252)]*(float32*)kernel.shared[204]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 252)]*(float32*)kernel.shared[300]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 315)]*(float32*)kernel.shared[207]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 315)]*(float32*)kernel.shared[303]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 378)]*(float32*)kernel.shared[210]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 378)]*(float32*)kernel.shared[306]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 441)]*(float32*)kernel.shared[213]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 441)]*(float32*)kernel.shared[309]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 504)]*(float32*)kernel.shared[216]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 504)]*(float32*)kernel.shared[312]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 567)]*(float32*)kernel.shared[219]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 567)]*(float32*)kernel.shared[315]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 630)]*(float32*)kernel.shared[222]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 630)]*(float32*)kernel.shared[318]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 693)]*(float32*)kernel.shared[225]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 693)]*(float32*)kernel.shared[321]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 756)]*(float32*)kernel.shared[228]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 756)]*(float32*)kernel.shared[324]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 819)]*(float32*)kernel.shared[231]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 819)]*(float32*)kernel.shared[327]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 882)]*(float32*)kernel.shared[234]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 882)]*(float32*)kernel.shared[330]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 945)]*(float32*)kernel.shared[237]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 945)]*(float32*)kernel.shared[333]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1008)]*(float32*)kernel.shared[240]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1008)]*(float32*)kernel.shared[336]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1071)]*(float32*)kernel.shared[243]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1071)]*(float32*)kernel.shared[339]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1134)]*(float32*)kernel.shared[246]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1134)]*(float32*)kernel.shared[342]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1197)]*(float32*)kernel.shared[249]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1197)]*(float32*)kernel.shared[345]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1260)]*(float32*)kernel.shared[252]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1260)]*(float32*)kernel.shared[348]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1323)]*(float32*)kernel.shared[255]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1323)]*(float32*)kernel.shared[351]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1386)]*(float32*)kernel.shared[258]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1386)]*(float32*)kernel.shared[354]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1449)]*(float32*)kernel.shared[261]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1449)]*(float32*)kernel.shared[357]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1512)]*(float32*)kernel.shared[264]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1512)]*(float32*)kernel.shared[360]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1575)]*(float32*)kernel.shared[267]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1575)]*(float32*)kernel.shared[363]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1638)]*(float32*)kernel.shared[270]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1638)]*(float32*)kernel.shared[366]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1701)]*(float32*)kernel.shared[273]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1701)]*(float32*)kernel.shared[369]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1764)]*(float32*)kernel.shared[276]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1764)]*(float32*)kernel.shared[372]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1827)]*(float32*)kernel.shared[279]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1827)]*(float32*)kernel.shared[375]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1890)]*(float32*)kernel.shared[282]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1890)]*(float32*)kernel.shared[378]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1953)]*(float32*)kernel.shared[285]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1953)]*(float32*)kernel.shared[381]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1)]*(float32*)kernel.shared[1]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1)]*(float32*)kernel.shared[97]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 64)]*(float32*)kernel.shared[4]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 64)]*(float32*)kernel.shared[100]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 127)]*(float32*)kernel.shared[7]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 127)]*(float32*)kernel.shared[103]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 190)]*(float32*)kernel.shared[10]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 190)]*(float32*)kernel.shared[106]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 253)]*(float32*)kernel.shared[13]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 253)]*(float32*)kernel.shared[109]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 316)]*(float32*)kernel.shared[16]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 316)]*(float32*)kernel.shared[112]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 379)]*(float32*)kernel.shared[19]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 379)]*(float32*)kernel.shared[115]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 442)]*(float32*)kernel.shared[22]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 442)]*(float32*)kernel.shared[118]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 505)]*(float32*)kernel.shared[25]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 505)]*(float32*)kernel.shared[121]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 568)]*(float32*)kernel.shared[28]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 568)]*(float32*)kernel.shared[124]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 631)]*(float32*)kernel.shared[31]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 631)]*(float32*)kernel.shared[127]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 694)]*(float32*)kernel.shared[34]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 694)]*(float32*)kernel.shared[130]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 757)]*(float32*)kernel.shared[37]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 757)]*(float32*)kernel.shared[133]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 820)]*(float32*)kernel.shared[40]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 820)]*(float32*)kernel.shared[136]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 883)]*(float32*)kernel.shared[43]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 883)]*(float32*)kernel.shared[139]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 946)]*(float32*)kernel.shared[46]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 946)]*(float32*)kernel.shared[142]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1009)]*(float32*)kernel.shared[49]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1009)]*(float32*)kernel.shared[145]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1072)]*(float32*)kernel.shared[52]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1072)]*(float32*)kernel.shared[148]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1135)]*(float32*)kernel.shared[55]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1135)]*(float32*)kernel.shared[151]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1198)]*(float32*)kernel.shared[58]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1198)]*(float32*)kernel.shared[154]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1261)]*(float32*)kernel.shared[61]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1261)]*(float32*)kernel.shared[157]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1324)]*(float32*)kernel.shared[64]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1324)]*(float32*)kernel.shared[160]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1387)]*(float32*)kernel.shared[67]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1387)]*(float32*)kernel.shared[163]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1450)]*(float32*)kernel.shared[70]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1450)]*(float32*)kernel.shared[166]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1513)]*(float32*)kernel.shared[73]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1513)]*(float32*)kernel.shared[169]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1576)]*(float32*)kernel.shared[76]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1576)]*(float32*)kernel.shared[172]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1639)]*(float32*)kernel.shared[79]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1639)]*(float32*)kernel.shared[175]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1702)]*(float32*)kernel.shared[82]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1702)]*(float32*)kernel.shared[178]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1765)]*(float32*)kernel.shared[85]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1765)]*(float32*)kernel.shared[181]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1828)]*(float32*)kernel.shared[88]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1828)]*(float32*)kernel.shared[184]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1891)]*(float32*)kernel.shared[91]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1891)]*(float32*)kernel.shared[187]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1954)]*(float32*)kernel.shared[94]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1954)]*(float32*)kernel.shared[190]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1)]*(float32*)kernel.shared[193]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1)]*(float32*)kernel.shared[289]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 64)]*(float32*)kernel.shared[196]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 64)]*(float32*)kernel.shared[292]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 127)]*(float32*)kernel.shared[199]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 127)]*(float32*)kernel.shared[295]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 190)]*(float32*)kernel.shared[202]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 190)]*(float32*)kernel.shared[298]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 253)]*(float32*)kernel.shared[205]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 253)]*(float32*)kernel.shared[301]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 316)]*(float32*)kernel.shared[208]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 316)]*(float32*)kernel.shared[304]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 379)]*(float32*)kernel.shared[211]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 379)]*(float32*)kernel.shared[307]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 442)]*(float32*)kernel.shared[214]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 442)]*(float32*)kernel.shared[310]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 505)]*(float32*)kernel.shared[217]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 505)]*(float32*)kernel.shared[313]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 568)]*(float32*)kernel.shared[220]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 568)]*(float32*)kernel.shared[316]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 631)]*(float32*)kernel.shared[223]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 631)]*(float32*)kernel.shared[319]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 694)]*(float32*)kernel.shared[226]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 694)]*(float32*)kernel.shared[322]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 757)]*(float32*)kernel.shared[229]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 757)]*(float32*)kernel.shared[325]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 820)]*(float32*)kernel.shared[232]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 820)]*(float32*)kernel.shared[328]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 883)]*(float32*)kernel.shared[235]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 883)]*(float32*)kernel.shared[331]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 946)]*(float32*)kernel.shared[238]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 946)]*(float32*)kernel.shared[334]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1009)]*(float32*)kernel.shared[241]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1009)]*(float32*)kernel.shared[337]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1072)]*(float32*)kernel.shared[244]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1072)]*(float32*)kernel.shared[340]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1135)]*(float32*)kernel.shared[247]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1135)]*(float32*)kernel.shared[343]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1198)]*(float32*)kernel.shared[250]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1198)]*(float32*)kernel.shared[346]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1261)]*(float32*)kernel.shared[253]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1261)]*(float32*)kernel.shared[349]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1324)]*(float32*)kernel.shared[256]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1324)]*(float32*)kernel.shared[352]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1387)]*(float32*)kernel.shared[259]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1387)]*(float32*)kernel.shared[355]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1450)]*(float32*)kernel.shared[262]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1450)]*(float32*)kernel.shared[358]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1513)]*(float32*)kernel.shared[265]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1513)]*(float32*)kernel.shared[361]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1576)]*(float32*)kernel.shared[268]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1576)]*(float32*)kernel.shared[364]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1639)]*(float32*)kernel.shared[271]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1639)]*(float32*)kernel.shared[367]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1702)]*(float32*)kernel.shared[274]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1702)]*(float32*)kernel.shared[370]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1765)]*(float32*)kernel.shared[277]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1765)]*(float32*)kernel.shared[373]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1828)]*(float32*)kernel.shared[280]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1828)]*(float32*)kernel.shared[376]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1891)]*(float32*)kernel.shared[283]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1891)]*(float32*)kernel.shared[379]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1954)]*(float32*)kernel.shared[286]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1954)]*(float32*)kernel.shared[382]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 2)]*(float32*)kernel.shared[2]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 2)]*(float32*)kernel.shared[98]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 65)]*(float32*)kernel.shared[5]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 65)]*(float32*)kernel.shared[101]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 128)]*(float32*)kernel.shared[8]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 128)]*(float32*)kernel.shared[104]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 191)]*(float32*)kernel.shared[11]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 191)]*(float32*)kernel.shared[107]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 254)]*(float32*)kernel.shared[14]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 254)]*(float32*)kernel.shared[110]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 317)]*(float32*)kernel.shared[17]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 317)]*(float32*)kernel.shared[113]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 380)]*(float32*)kernel.shared[20]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 380)]*(float32*)kernel.shared[116]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 443)]*(float32*)kernel.shared[23]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 443)]*(float32*)kernel.shared[119]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 506)]*(float32*)kernel.shared[26]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 506)]*(float32*)kernel.shared[122]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 569)]*(float32*)kernel.shared[29]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 569)]*(float32*)kernel.shared[125]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 632)]*(float32*)kernel.shared[32]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 632)]*(float32*)kernel.shared[128]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 695)]*(float32*)kernel.shared[35]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 695)]*(float32*)kernel.shared[131]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 758)]*(float32*)kernel.shared[38]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 758)]*(float32*)kernel.shared[134]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 821)]*(float32*)kernel.shared[41]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 821)]*(float32*)kernel.shared[137]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 884)]*(float32*)kernel.shared[44]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 884)]*(float32*)kernel.shared[140]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 947)]*(float32*)kernel.shared[47]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 947)]*(float32*)kernel.shared[143]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1010)]*(float32*)kernel.shared[50]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1010)]*(float32*)kernel.shared[146]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1073)]*(float32*)kernel.shared[53]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1073)]*(float32*)kernel.shared[149]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1136)]*(float32*)kernel.shared[56]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1136)]*(float32*)kernel.shared[152]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1199)]*(float32*)kernel.shared[59]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1199)]*(float32*)kernel.shared[155]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1262)]*(float32*)kernel.shared[62]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1262)]*(float32*)kernel.shared[158]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1325)]*(float32*)kernel.shared[65]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1325)]*(float32*)kernel.shared[161]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1388)]*(float32*)kernel.shared[68]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1388)]*(float32*)kernel.shared[164]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1451)]*(float32*)kernel.shared[71]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1451)]*(float32*)kernel.shared[167]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1514)]*(float32*)kernel.shared[74]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1514)]*(float32*)kernel.shared[170]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1577)]*(float32*)kernel.shared[77]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1577)]*(float32*)kernel.shared[173]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1640)]*(float32*)kernel.shared[80]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1640)]*(float32*)kernel.shared[176]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1703)]*(float32*)kernel.shared[83]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1703)]*(float32*)kernel.shared[179]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1766)]*(float32*)kernel.shared[86]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1766)]*(float32*)kernel.shared[182]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1829)]*(float32*)kernel.shared[89]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1829)]*(float32*)kernel.shared[185]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1892)]*(float32*)kernel.shared[92]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1892)]*(float32*)kernel.shared[188]))
- compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1955)]*(float32*)kernel.shared[95]))
- compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1955)]*(float32*)kernel.shared[191]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 2)]*(float32*)kernel.shared[194]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 2)]*(float32*)kernel.shared[290]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 65)]*(float32*)kernel.shared[197]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 65)]*(float32*)kernel.shared[293]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 128)]*(float32*)kernel.shared[200]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 128)]*(float32*)kernel.shared[296]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 191)]*(float32*)kernel.shared[203]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 191)]*(float32*)kernel.shared[299]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 254)]*(float32*)kernel.shared[206]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 254)]*(float32*)kernel.shared[302]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 317)]*(float32*)kernel.shared[209]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 317)]*(float32*)kernel.shared[305]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 380)]*(float32*)kernel.shared[212]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 380)]*(float32*)kernel.shared[308]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 443)]*(float32*)kernel.shared[215]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 443)]*(float32*)kernel.shared[311]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 506)]*(float32*)kernel.shared[218]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 506)]*(float32*)kernel.shared[314]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 569)]*(float32*)kernel.shared[221]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 569)]*(float32*)kernel.shared[317]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 632)]*(float32*)kernel.shared[224]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 632)]*(float32*)kernel.shared[320]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 695)]*(float32*)kernel.shared[227]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 695)]*(float32*)kernel.shared[323]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 758)]*(float32*)kernel.shared[230]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 758)]*(float32*)kernel.shared[326]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 821)]*(float32*)kernel.shared[233]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 821)]*(float32*)kernel.shared[329]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 884)]*(float32*)kernel.shared[236]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 884)]*(float32*)kernel.shared[332]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 947)]*(float32*)kernel.shared[239]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 947)]*(float32*)kernel.shared[335]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1010)]*(float32*)kernel.shared[242]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1010)]*(float32*)kernel.shared[338]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1073)]*(float32*)kernel.shared[245]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1073)]*(float32*)kernel.shared[341]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1136)]*(float32*)kernel.shared[248]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1136)]*(float32*)kernel.shared[344]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1199)]*(float32*)kernel.shared[251]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1199)]*(float32*)kernel.shared[347]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1262)]*(float32*)kernel.shared[254]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1262)]*(float32*)kernel.shared[350]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1325)]*(float32*)kernel.shared[257]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1325)]*(float32*)kernel.shared[353]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1388)]*(float32*)kernel.shared[260]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1388)]*(float32*)kernel.shared[356]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1451)]*(float32*)kernel.shared[263]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1451)]*(float32*)kernel.shared[359]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1514)]*(float32*)kernel.shared[266]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1514)]*(float32*)kernel.shared[362]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1577)]*(float32*)kernel.shared[269]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1577)]*(float32*)kernel.shared[365]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1640)]*(float32*)kernel.shared[272]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1640)]*(float32*)kernel.shared[368]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1703)]*(float32*)kernel.shared[275]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1703)]*(float32*)kernel.shared[371]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1766)]*(float32*)kernel.shared[278]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1766)]*(float32*)kernel.shared[374]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1829)]*(float32*)kernel.shared[281]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1829)]*(float32*)kernel.shared[377]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1892)]*(float32*)kernel.shared[284]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1892)]*(float32*)kernel.shared[380]))
- compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1955)]*(float32*)kernel.shared[287]))
- compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(((floordiv(threadIdx.x, 7)*9) + floormod(threadIdx.x, 7)) + 1955)]*(float32*)kernel.shared[383]))
+ compute_3[4] = 0f32
+ compute_3[5] = 0f32
+ compute_3[6] = 0f32
+ compute_3[7] = 0f32
+ for (rc.outer.outer: int32, 0, 128) {
+ attr [IterVar(threadIdx.x_1: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ if @tir.likely((threadIdx.x_1 < 108), dtype=bool) {
+ pad_temp.shared[threadIdx.x_1] = @tir.if_then_else(((((1 <= (floordiv(floormod(threadIdx.x_1, 27), 9) + floormod(blockIdx.x, 7))) && ((floordiv(floormod(threadIdx.x_1, 27), 9) + floormod(blockIdx.x, 7)) < 8)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), (float32*)data_2[((((((rc.outer.outer*196) + (floordiv(threadIdx.x_1, 27)*49)) + (floordiv(floormod(threadIdx.x_1, 27), 9)*7)) + (floormod(blockIdx.x, 7)*7)) + floormod(threadIdx.x_1, 9)) - 8)], [...]
}
+ attr [IterVar(threadIdx.x_2: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[threadIdx.x_2] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv(threadIdx.x_2, 36)*4608)) + (rc.outer.outer*36)) + floormod(threadIdx.x_2, 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 224)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 224), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 8), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 448)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 448), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 16), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 672)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 672), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 24), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 896)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 896), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 32), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 1120)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 1120), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 4), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 1344)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 1344), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 12), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 1568)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 1568), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 20), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 1792)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 1792), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 28), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 2016)] = (float32*)kernel_2[(((((floordiv(blockIdx.x, 7)*1179648) + (floordiv(threadIdx.x_2, 36)*4608)) + (rc.outer.outer*36)) + floormod(threadIdx.x_2, 36)) + 258048)]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 2240)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 2240), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 8), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 2464)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 2464), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 16), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 2688)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 2688), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 24), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 2912)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 2912), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 32), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 3136)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 3136), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 4), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 3360)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 3360), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 12), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 3584)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 3584), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 20), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 3808)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 3808), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 28), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 4032)] = (float32*)kernel_2[(((((floordiv(blockIdx.x, 7)*1179648) + (floordiv(threadIdx.x_2, 36)*4608)) + (rc.outer.outer*36)) + floormod(threadIdx.x_2, 36)) + 516096)]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 4256)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 4256), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 8), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 4480)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 4480), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 16), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 4704)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 4704), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 24), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 4928)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 4928), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 32), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 5152)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 5152), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 4), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 5376)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 5376), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 12), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 5600)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 5600), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 20), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 5824)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 5824), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 28), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 6048)] = (float32*)kernel_2[(((((floordiv(blockIdx.x, 7)*1179648) + (floordiv(threadIdx.x_2, 36)*4608)) + (rc.outer.outer*36)) + floormod(threadIdx.x_2, 36)) + 774144)]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 6272)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 6272), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 8), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 6496)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 6496), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 16), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 6720)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 6720), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 24), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 6944)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 6944), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 32), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 7168)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 7168), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 4), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 7392)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 7392), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 12), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 7616)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 7616), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 20), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 7840)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 7840), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 28), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 8064)] = (float32*)kernel_2[(((((floordiv(blockIdx.x, 7)*1179648) + (floordiv(threadIdx.x_2, 36)*4608)) + (rc.outer.outer*36)) + floormod(threadIdx.x_2, 36)) + 1032192)]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 8288)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 8288), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 8), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 8512)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 8512), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 16), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 8736)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 8736), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 24), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ kernel.shared[(threadIdx.x_2 + 8960)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 8960), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 32), 36))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 224;
+ if @tir.likely((threadIdx.x_2 < 32), dtype=bool) {
+ kernel.shared[(threadIdx.x_2 + 9184)] = (float32*)kernel_2[((((floordiv(blockIdx.x, 7)*1179648) + (floordiv((threadIdx.x_2 + 9184), 36)*4608)) + (rc.outer.outer*36)) + floormod((threadIdx.x_2 + 4), 36))]
+ }
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[floormod(threadIdx.x, 7)]*(float32*)kernel.shared[(floordiv(threadIdx.x, 7)*288)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 1)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 1)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 2)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 2)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 27)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 9)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 28)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 10)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 29)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 11)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 54)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 18)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 55)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 19)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 56)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 20)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 81)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 27)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 82)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 28)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 83)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 29)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[floormod(threadIdx.x, 7)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 36)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 1)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 37)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 2)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 38)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 27)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 45)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 28)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 46)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 29)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 47)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 54)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 54)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 55)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 55)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 56)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 56)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 81)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 63)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 82)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 64)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 83)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 65)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[floormod(threadIdx.x, 7)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 72)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 1)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 73)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 2)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 74)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 27)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 81)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 28)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 82)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 29)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 83)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 54)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 90)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 55)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 91)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 56)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 92)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 81)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 99)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 82)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 100)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 83)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 101)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[floormod(threadIdx.x, 7)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 108)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 1)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 109)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 2)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 110)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 27)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 117)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 28)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 118)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 29)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 119)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 54)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 126)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 55)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 127)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 56)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 128)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 81)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 135)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 82)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 136)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 83)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 137)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[floormod(threadIdx.x, 7)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 144)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 1)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 145)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 2)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 146)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 27)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 153)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 28)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 154)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 29)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 155)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 54)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 162)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 55)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 163)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 56)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 164)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 81)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 171)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 82)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 172)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 83)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 173)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[floormod(threadIdx.x, 7)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 180)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 1)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 181)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 2)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 182)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 27)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 189)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 28)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 190)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 29)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 191)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 54)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 198)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 55)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 199)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 56)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 200)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 81)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 207)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 82)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 208)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 83)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 209)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[floormod(threadIdx.x, 7)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 216)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 1)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 217)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 2)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 218)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 27)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 225)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 28)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 226)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 29)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 227)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 54)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 234)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 55)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 235)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 56)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 236)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 81)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 243)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 82)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 244)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 83)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 245)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[floormod(threadIdx.x, 7)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 252)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 1)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 253)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 2)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 254)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 27)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 261)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 28)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 262)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 29)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 263)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 54)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 270)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 55)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 271)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 56)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 272)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 81)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 279)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 82)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 280)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 83)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 281)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 9)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 3)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 10)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 4)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 11)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 5)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 36)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 12)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 37)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 13)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 38)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 14)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 63)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 21)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 64)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 22)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 65)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 23)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 90)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 30)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 91)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 31)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 92)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 32)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 9)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 39)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 10)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 40)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 11)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 41)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 36)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 48)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 37)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 49)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 38)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 50)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 63)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 57)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 64)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 58)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 65)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 59)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 90)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 66)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 91)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 67)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 92)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 68)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 9)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 75)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 10)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 76)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 11)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 77)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 36)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 84)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 37)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 85)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 38)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 86)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 63)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 93)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 64)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 94)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 65)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 95)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 90)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 102)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 91)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 103)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 92)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 104)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 9)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 111)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 10)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 112)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 11)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 113)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 36)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 120)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 37)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 121)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 38)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 122)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 63)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 129)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 64)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 130)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 65)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 131)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 90)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 138)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 91)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 139)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 92)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 140)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 9)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 147)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 10)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 148)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 11)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 149)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 36)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 156)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 37)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 157)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 38)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 158)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 63)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 165)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 64)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 166)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 65)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 167)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 90)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 174)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 91)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 175)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 92)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 176)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 9)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 183)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 10)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 184)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 11)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 185)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 36)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 192)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 37)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 193)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 38)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 194)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 63)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 201)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 64)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 202)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 65)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 203)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 90)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 210)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 91)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 211)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 92)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 212)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 9)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 219)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 10)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 220)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 11)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 221)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 36)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 228)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 37)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 229)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 38)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 230)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 63)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 237)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 64)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 238)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 65)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 239)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 90)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 246)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 91)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 247)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 92)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 248)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 9)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 255)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 10)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 256)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 11)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 257)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 36)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 264)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 37)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 265)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 38)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 266)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 63)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 273)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 64)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 274)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 65)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 275)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 90)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 282)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 91)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 283)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 92)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 284)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 18)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 6)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 19)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 7)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 20)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 8)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 45)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 15)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 46)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 16)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 47)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 17)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 72)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 24)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 73)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 25)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 74)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 26)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 99)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 33)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 100)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 34)]))
+ compute_3[0] = ((float32*)compute_3[0] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 101)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 35)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 18)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 42)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 19)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 43)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 20)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 44)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 45)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 51)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 46)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 52)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 47)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 53)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 72)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 60)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 73)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 61)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 74)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 62)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 99)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 69)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 100)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 70)]))
+ compute_3[1] = ((float32*)compute_3[1] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 101)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 71)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 18)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 78)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 19)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 79)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 20)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 80)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 45)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 87)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 46)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 88)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 47)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 89)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 72)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 96)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 73)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 97)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 74)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 98)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 99)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 105)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 100)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 106)]))
+ compute_3[2] = ((float32*)compute_3[2] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 101)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 107)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 18)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 114)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 19)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 115)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 20)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 116)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 45)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 123)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 46)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 124)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 47)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 125)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 72)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 132)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 73)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 133)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 74)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 134)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 99)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 141)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 100)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 142)]))
+ compute_3[3] = ((float32*)compute_3[3] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 101)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 143)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 18)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 150)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 19)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 151)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 20)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 152)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 45)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 159)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 46)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 160)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 47)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 161)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 72)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 168)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 73)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 169)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 74)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 170)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 99)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 177)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 100)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 178)]))
+ compute_3[4] = ((float32*)compute_3[4] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 101)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 179)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 18)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 186)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 19)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 187)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 20)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 188)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 45)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 195)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 46)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 196)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 47)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 197)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 72)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 204)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 73)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 205)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 74)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 206)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 99)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 213)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 100)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 214)]))
+ compute_3[5] = ((float32*)compute_3[5] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 101)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 215)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 18)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 222)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 19)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 223)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 20)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 224)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 45)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 231)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 46)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 232)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 47)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 233)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 72)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 240)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 73)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 241)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 74)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 242)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 99)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 249)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 100)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 250)]))
+ compute_3[6] = ((float32*)compute_3[6] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 101)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 251)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 18)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 258)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 19)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 259)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 20)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 260)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 45)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 267)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 46)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 268)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 47)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 269)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 72)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 276)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 73)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 277)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 74)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 278)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 99)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 285)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 100)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 286)]))
+ compute_3[7] = ((float32*)compute_3[7] + ((float32*)pad_temp.shared[(floormod(threadIdx.x, 7) + 101)]*(float32*)kernel.shared[((floordiv(threadIdx.x, 7)*288) + 287)]))
}
- for (i1.inner: int32, 0, 4) {
- compute_2[(((blockIdx.x*196) + (i1.inner*49)) + threadIdx.x)] = max(((float32*)compute_3[i1.inner] + (float32*)bias_2[((blockIdx.x*4) + i1.inner)]), 0f32)
+ for (i1.inner: int32, 0, 8) {
+ compute_2[(((((floordiv(blockIdx.x, 7)*12544) + (floordiv(threadIdx.x, 7)*392)) + (i1.inner*49)) + (floormod(blockIdx.x, 7)*7)) + floormod(threadIdx.x, 7))] = max(((float32*)compute_3[i1.inner] + (float32*)bias_2[(((floordiv(blockIdx.x, 7)*256) + (floordiv(threadIdx.x, 7)*8)) + i1.inner)]), 0f32)
}
}
}
@@ -772,7 +660,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 0.655 ms
+ Execution time of this operator: 0.666 ms
@@ -926,7 +814,7 @@ In the example below we resume the status and do more 5 trials.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 40.877 seconds)
+ **Total running time of the script:** ( 1 minutes 21.952 seconds)
.. _sphx_glr_download_tutorials_auto_scheduler_tune_conv2d_layer_cuda.py:
diff --git a/docs/_sources/tutorials/auto_scheduler/tune_matmul_x86.rst.txt b/docs/_sources/tutorials/auto_scheduler/tune_matmul_x86.rst.txt
index 9a2650f..1a5b526 100644
--- a/docs/_sources/tutorials/auto_scheduler/tune_matmul_x86.rst.txt
+++ b/docs/_sources/tutorials/auto_scheduler/tune_matmul_x86.rst.txt
@@ -252,7 +252,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 2.077 ms
+ Execution time of this operator: 2.211 ms
@@ -368,7 +368,7 @@ In the example below we resume the status and do more 5 trials.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 49.095 seconds)
+ **Total running time of the script:** ( 1 minutes 48.369 seconds)
.. _sphx_glr_download_tutorials_auto_scheduler_tune_matmul_x86.py:
diff --git a/docs/_sources/tutorials/auto_scheduler/tune_network_cuda.rst.txt b/docs/_sources/tutorials/auto_scheduler/tune_network_cuda.rst.txt
index e93b9b6..84f7a5c 100644
--- a/docs/_sources/tutorials/auto_scheduler/tune_network_cuda.rst.txt
+++ b/docs/_sources/tutorials/auto_scheduler/tune_network_cuda.rst.txt
@@ -413,10 +413,10 @@ The task scheduler will just optimize this objective.
placeholder = PLACEHOLDER [1, 56, 56, 64]
T_add(ax0, ax1, ax2, ax3) = (conv2d_winograd[ax0, ax1, ax2, ax3] + placeholder[ax0, ax1, ax2, ax3])
- ========== Task 18 (workload key: ["944921d3fd999ba7aa9ffe5a592a9241"]) ==========
+ ========== Task 18 (workload key: ["ba2026d923536b75e9b4faed89287d5f"]) ==========
placeholder = PLACEHOLDER [1, 112, 112, 64]
pad_temp(ax0, ax1, ax2, ax3) = tir.if_then_else(((((ax1 >= 1) && (ax1 < 113)) && (ax2 >= 1)) && (ax2 < 113)), placeholder[ax0, (ax1 - 1), (ax2 - 1), ax3], -3.40282e+38f)
- tensor(ax0, ax1, ax2, ax3) max= pad_temp[ax0, ((ax1*2) + rv), ((ax2*2) + rv), ax3]
+ tensor(ax0, ax1, ax2, ax3) max= pad_temp[ax0, ((ax1*2) + dh), ((ax2*2) + dw), ax3]
placeholder = PLACEHOLDER [1, 1, 1, 64]
T_add(ax0, ax1, ax2, ax3) = (tensor[ax0, ax1, ax2, ax3] + placeholder[ax0, 0, 0, ax3])
T_relu(ax0, ax1, ax2, ax3) = max(T_add[ax0, ax1, ax2, ax3], 0f)
@@ -466,7 +466,7 @@ Now, we set some options for tuning and launch the search tasks
during measurement and avoid other runtime conflicts.
* :code:`min_repeat_ms` defines the minimum duration of one "repeat" in every measurement.
This can warmup the GPU, which is necessary to get accurate measurement results.
- Typically, we recommend a value > 300 ms.
+ Typically, we recommend a value >= 300 ms.
* :code:`num_measure_trials` is the number of measurement trials we can use during the tuning.
You can set it to a small number (e.g., 200) for a fast demonstrative run.
In practice, we recommend setting it around :code:`1000 * len(tasks)`,
@@ -487,7 +487,7 @@ Now, we set some options for tuning and launch the search tasks
def run_tuning():
print("Begin tuning...")
- measure_ctx = auto_scheduler.LocalRPCMeasureContext(repeat=1, min_repeat_ms=400, timeout=10)
+ measure_ctx = auto_scheduler.LocalRPCMeasureContext(repeat=1, min_repeat_ms=300, timeout=10)
tuner = auto_scheduler.TaskScheduler(tasks, task_weights)
tune_option = auto_scheduler.TuningOptions(
@@ -613,7 +613,7 @@ so we can read the log file and load the best schedules.
Compile...
Evaluate inference time cost...
- Mean inference time (std dev): 1.15 ms (0.00 ms)
+ Mean inference time (std dev): 1.65 ms (0.01 ms)
diff --git a/docs/_sources/tutorials/autotvm/sg_execution_times.rst.txt b/docs/_sources/tutorials/autotvm/sg_execution_times.rst.txt
index e79dc68..b9d5beb 100644
--- a/docs/_sources/tutorials/autotvm/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorials/autotvm/sg_execution_times.rst.txt
@@ -5,11 +5,11 @@
Computation times
=================
-**00:55.369** total execution time for **tutorials_autotvm** files:
-
-- **00:28.484**: :ref:`sphx_glr_tutorials_autotvm_tune_simple_template.py` (``tune_simple_template.py``)
-- **00:26.228**: :ref:`sphx_glr_tutorials_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``)
-- **00:00.170**: :ref:`sphx_glr_tutorials_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)
-- **00:00.167**: :ref:`sphx_glr_tutorials_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``)
-- **00:00.163**: :ref:`sphx_glr_tutorials_autotvm_tune_relay_arm.py` (``tune_relay_arm.py``)
-- **00:00.156**: :ref:`sphx_glr_tutorials_autotvm_tune_relay_mobile_gpu.py` (``tune_relay_mobile_gpu.py``)
+**01:01.169** total execution time for **tutorials_autotvm** files:
+
+- **00:31.172**: :ref:`sphx_glr_tutorials_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``)
+- **00:29.299**: :ref:`sphx_glr_tutorials_autotvm_tune_simple_template.py` (``tune_simple_template.py``)
+- **00:00.204**: :ref:`sphx_glr_tutorials_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``)
+- **00:00.171**: :ref:`sphx_glr_tutorials_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)
+- **00:00.162**: :ref:`sphx_glr_tutorials_autotvm_tune_relay_arm.py` (``tune_relay_arm.py``)
+- **00:00.161**: :ref:`sphx_glr_tutorials_autotvm_tune_relay_mobile_gpu.py` (``tune_relay_mobile_gpu.py``)
diff --git a/docs/_sources/tutorials/autotvm/tune_conv2d_cuda.rst.txt b/docs/_sources/tutorials/autotvm/tune_conv2d_cuda.rst.txt
index 32bb331..6925aef 100644
--- a/docs/_sources/tutorials/autotvm/tune_conv2d_cuda.rst.txt
+++ b/docs/_sources/tutorials/autotvm/tune_conv2d_cuda.rst.txt
@@ -241,26 +241,26 @@ for this template
7 unroll_explicit: OtherOption([0, 1]) len=2
)
Get devices for measurement successfully!
- No: 1 GFLOPS: 456.68/456.68 result: MeasureResult(costs=(0.0005069250867924528,), error_no=0, all_cost=1.483231544494629, timestamp=1606247193.9099) [('tile_f', [-1, 2, 64, 1]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 2]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4881186
- No: 2 GFLOPS: 0.00/456.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f9267ab0531]\n [bt] (3) /workspace/build/libtvm.so(+0x6dbf77) [0x7f9266ed2f77]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x40e) [0x7f9266ed238e]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 3 GFLOPS: 220.25/456.68 result: MeasureResult(costs=(0.0010510892745098038,), error_no=0, all_cost=1.5199861526489258, timestamp=1606247195.1761348) [('tile_f', [-1, 4, 32, 1]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 1, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,3605182
- No: 4 GFLOPS: 0.00/456.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f9267ab0531]\n [bt] (3) /workspace/build/libtvm.so(+0x6dbf77) [0x7f9266ed2f77]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x40e) [0x7f9266ed238e]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 5 GFLOPS: 0.00/456.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f9267ab0531]\n [bt] (3) /workspace/build/libtvm.so(+0x6dbf77) [0x7f9266ed2f77]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x40e) [0x7f9266ed238e]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 6 GFLOPS: 0.00/456.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f9267ab0531]\n [bt] (3) /workspace/build/libtvm.so(+0x6dbf77) [0x7f9266ed2f77]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x40e) [0x7f9266ed238e]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 7 GFLOPS: 0.00/456.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f9267ab0531]\n [bt] (3) /workspace/build/libtvm.so(+0x6dbf77) [0x7f9266ed2f77]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x40e) [0x7f9266ed238e]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 8 GFLOPS: 2.18/456.68 result: MeasureResult(costs=(0.10620077,), error_no=0, all_cost=3.1617162227630615, timestamp=1606247198.2543473) [('tile_f', [-1, 2, 4, 64]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,2716108
- No: 9 GFLOPS: 21.16/456.68 result: MeasureResult(costs=(0.010940765500000001,), error_no=0, all_cost=1.6032164096832275, timestamp=1606247199.146415) [('tile_f', [-1, 1, 4, 2]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 2, 8]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1263092
- No: 10 GFLOPS: 273.42/456.68 result: MeasureResult(costs=(0.0008466825684210527,), error_no=0, all_cost=1.5583219528198242, timestamp=1606247200.2024171) [('tile_f', [-1, 1, 32, 4]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 16, 1]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,8921130
- No: 11 GFLOPS: 0.00/456.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f9267ab0531]\n [bt] (3) /workspace/build/libtvm.so(+0x6dbf77) [0x7f9266ed2f77]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x40e) [0x7f9266ed238e]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 12 GFLOPS: 149.26/456.68 result: MeasureResult(costs=(0.0015510021076923077,), error_no=0, all_cost=1.2667763233184814, timestamp=1606247201.3664002) [('tile_f', [-1, 2, 32, 4]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 1, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,5036371
- No: 13 GFLOPS: 0.00/456.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f9267ab0531]\n [bt] (3) /workspace/build/libtvm.so(+0x6dbf77) [0x7f9266ed2f77]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x40e) [0x7f9266ed238e]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 14 GFLOPS: 0.00/456.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f9267ab0531]\n [bt] (3) /workspace/build/libtvm.so(+0x6dbf77) [0x7f9266ed2f77]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x40e) [0x7f9266ed238e]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 15 GFLOPS: 108.20/456.68 result: MeasureResult(costs=(0.0021395734680851063,), error_no=0, all_cost=1.2361633777618408, timestamp=1606247202.6363714) [('tile_f', [-1, 1, 1, 4]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 1, 8]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,3582580
- No: 16 GFLOPS: 0.00/456.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f9267ab0531]\n [bt] (3) /workspace/build/libtvm.so(+0x6dbf77) [0x7f9266ed2f77]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x40e) [0x7f9266ed238e]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 17 GFLOPS: 0.00/456.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f9267ab0531]\n [bt] (3) /workspace/build/libtvm.so(+0x6dbf77) [0x7f9266ed2f77]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x40e) [0x7f9266ed238e]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 18 GFLOPS: 0.00/456.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f9267ab0531]\n [bt] (3) /workspace/build/libtvm.so(+0x6dbf77) [0x7f9266ed2f77]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x40e) [0x7f9266ed238e]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 19 GFLOPS: 15.67/456.68 result: MeasureResult(costs=(0.014774698,), error_no=0, all_cost=1.5089759826660156, timestamp=1606247205.8270934) [('tile_f', [-1, 8, 64, 1]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 2, 2]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4107668
- No: 20 GFLOPS: 0.00/456.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f9267ab0531]\n [bt] (3) /workspace/build/libtvm.so(+0x6dbf77) [0x7f9266ed2f77]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x40e) [0x7f9266ed238e]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 1 GFLOPS: 313.68/313.68 result: MeasureResult(costs=(0.0007380110189873418,), error_no=0, all_cost=1.53424072265625, timestamp=1606971107.3976126) [('tile_f', [-1, 2, 64, 1]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 2]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4881186
+ No: 2 GFLOPS: 0.00/313.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f4ef963ea01]\n [bt] (3) /workspace/build/libtvm.so(+0x6b10c7) [0x7f4ef8a1a0c7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3ed) [0x7f4ef8a16a4d]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 3 GFLOPS: 179.13/313.68 result: MeasureResult(costs=(0.0012923368548387098,), error_no=0, all_cost=1.6479029655456543, timestamp=1606971108.9264472) [('tile_f', [-1, 4, 32, 1]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 1, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,3605182
+ No: 4 GFLOPS: 0.00/313.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f4ef963ea01]\n [bt] (3) /workspace/build/libtvm.so(+0x6b10c7) [0x7f4ef8a1a0c7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3ed) [0x7f4ef8a16a4d]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 5 GFLOPS: 0.00/313.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f4ef963ea01]\n [bt] (3) /workspace/build/libtvm.so(+0x6b10c7) [0x7f4ef8a1a0c7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3ed) [0x7f4ef8a16a4d]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 6 GFLOPS: 0.00/313.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f4ef963ea01]\n [bt] (3) /workspace/build/libtvm.so(+0x6b10c7) [0x7f4ef8a1a0c7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3ed) [0x7f4ef8a16a4d]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 7 GFLOPS: 0.00/313.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f4ef963ea01]\n [bt] (3) /workspace/build/libtvm.so(+0x6b10c7) [0x7f4ef8a1a0c7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3ed) [0x7f4ef8a16a4d]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 8 GFLOPS: 1.75/313.68 result: MeasureResult(costs=(0.13203354325,), error_no=0, all_cost=3.552534580230713, timestamp=1606971112.6741395) [('tile_f', [-1, 2, 4, 64]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,2716108
+ No: 9 GFLOPS: 12.15/313.68 result: MeasureResult(costs=(0.019056021666666666,), error_no=0, all_cost=1.8274366855621338, timestamp=1606971115.794178) [('tile_f', [-1, 1, 4, 2]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 2, 8]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1263092
+ No: 10 GFLOPS: 228.11/313.68 result: MeasureResult(costs=(0.0010148466262626262,), error_no=0, all_cost=1.3891921043395996, timestamp=1606971116.7298172) [('tile_f', [-1, 1, 32, 4]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 16, 1]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,8921130
+ No: 11 GFLOPS: 0.00/313.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f4ef963ea01]\n [bt] (3) /workspace/build/libtvm.so(+0x6b10c7) [0x7f4ef8a1a0c7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3ed) [0x7f4ef8a16a4d]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 12 GFLOPS: 119.75/313.68 result: MeasureResult(costs=(0.0019331923076923079,), error_no=0, all_cost=1.2680013179779053, timestamp=1606971117.9754086) [('tile_f', [-1, 2, 32, 4]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 1, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,5036371
+ No: 13 GFLOPS: 0.00/313.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f4ef963ea01]\n [bt] (3) /workspace/build/libtvm.so(+0x6b10c7) [0x7f4ef8a1a0c7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3ed) [0x7f4ef8a16a4d]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 14 GFLOPS: 0.00/313.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f4ef963ea01]\n [bt] (3) /workspace/build/libtvm.so(+0x6b10c7) [0x7f4ef8a1a0c7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3ed) [0x7f4ef8a16a4d]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 15 GFLOPS: 82.71/313.68 result: MeasureResult(costs=(0.0027988902894736842,), error_no=0, all_cost=1.52325439453125, timestamp=1606971119.534203) [('tile_f', [-1, 1, 1, 4]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 1, 8]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,3582580
+ No: 16 GFLOPS: 0.00/313.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f4ef963ea01]\n [bt] (3) /workspace/build/libtvm.so(+0x6b10c7) [0x7f4ef8a1a0c7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3ed) [0x7f4ef8a16a4d]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 17 GFLOPS: 0.00/313.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f4ef963ea01]\n [bt] (3) /workspace/build/libtvm.so(+0x6b10c7) [0x7f4ef8a1a0c7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3ed) [0x7f4ef8a16a4d]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 18 GFLOPS: 0.00/313.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f4ef963ea01]\n [bt] (3) /workspace/build/libtvm.so(+0x6b10c7) [0x7f4ef8a1a0c7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3ed) [0x7f4ef8a16a4d]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 19 GFLOPS: 17.44/313.68 result: MeasureResult(costs=(0.013272794333333332,), error_no=0, all_cost=1.6321752071380615, timestamp=1606971123.1157746) [('tile_f', [-1, 8, 64, 1]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 2, 2]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4107668
+ No: 20 GFLOPS: 0.00/313.68 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f4ef963ea01]\n [bt] (3) /workspace/build/libtvm.so(+0x6b10c7) [0x7f4ef8a1a0c7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3ed) [0x7f4ef8a16a4d]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
@@ -313,7 +313,7 @@ and measure running time.
Best config:
[('tile_f', [-1, 2, 64, 1]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 2]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4881186
- Time cost of this operator: 0.000568
+ Time cost of this operator: 0.001007
diff --git a/docs/_sources/tutorials/autotvm/tune_simple_template.rst.txt b/docs/_sources/tutorials/autotvm/tune_simple_template.rst.txt
index 8869b0d..bf10d7f 100644
--- a/docs/_sources/tutorials/autotvm/tune_simple_template.rst.txt
+++ b/docs/_sources/tutorials/autotvm/tune_simple_template.rst.txt
@@ -369,16 +369,16 @@ used to get the best config later.
.. code-block:: none
Get devices for measurement successfully!
- No: 1 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(RuntimeError('Traceback (most recent call last):\n [bt] (5) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7f9267ab0531]\n [bt] (4) /workspace/build/libtvm.so(+0x12eec62) [0x7f9267ae5c62]\n [bt] (3) /workspace/build/libtvm.so(tvm::runtime::RPCWrappedFunc::operator()(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const+0x246) [0x7f9267ae8de6]\n [bt] (2) /workspace/build/libtvm.so(tvm::runtime::RPCClientSession::Call [...]
- No: 2 GFLOPS: 4.97/4.97 result: MeasureResult(costs=(0.0540106804,), error_no=0, all_cost=1.2689733505249023, timestamp=1606247173.709435) [('tile_y', [-1, 512]), ('tile_x', [-1, 8])],None,39
- No: 3 GFLOPS: 2.80/4.97 result: MeasureResult(costs=(0.0959330538,), error_no=0, all_cost=2.031170606613159, timestamp=1606247175.638364) [('tile_y', [-1, 2]), ('tile_x', [-1, 8])],None,31
- No: 4 GFLOPS: 16.27/16.27 result: MeasureResult(costs=(0.016497969600000002,), error_no=0, all_cost=0.7240803241729736, timestamp=1606247176.329956) [('tile_y', [-1, 1]), ('tile_x', [-1, 32])],None,50
- No: 5 GFLOPS: 21.25/21.25 result: MeasureResult(costs=(0.0126320166,), error_no=0, all_cost=0.7413387298583984, timestamp=1606247176.909276) [('tile_y', [-1, 256]), ('tile_x', [-1, 64])],None,68
- No: 6 GFLOPS: 20.21/21.25 result: MeasureResult(costs=(0.0132850592,), error_no=0, all_cost=0.6722569465637207, timestamp=1606247177.5262818) [('tile_y', [-1, 256]), ('tile_x', [-1, 512])],None,98
- No: 7 GFLOPS: 0.80/21.25 result: MeasureResult(costs=(0.3340438422,), error_no=0, all_cost=5.789602994918823, timestamp=1606247183.2634928) [('tile_y', [-1, 128]), ('tile_x', [-1, 2])],None,17
- No: 8 GFLOPS: 1.43/21.25 result: MeasureResult(costs=(0.1871098444,), error_no=0, all_cost=3.410900354385376, timestamp=1606247186.6618466) [('tile_y', [-1, 8]), ('tile_x', [-1, 4])],None,23
- No: 9 GFLOPS: 19.64/21.25 result: MeasureResult(costs=(0.013666064,), error_no=0, all_cost=0.6099884510040283, timestamp=1606247187.2684672) [('tile_y', [-1, 256]), ('tile_x', [-1, 32])],None,58
- No: 10 GFLOPS: 22.72/22.72 result: MeasureResult(costs=(0.0118135662,), error_no=0, all_cost=0.6184511184692383, timestamp=1606247187.8485868) [('tile_y', [-1, 64]), ('tile_x', [-1, 128])],None,76
+ No: 1 GFLOPS: 0.52/0.52 result: MeasureResult(costs=(0.5200800868,), error_no=0, all_cost=8.741724491119385, timestamp=1606971083.8368676) [('tile_y', [-1, 64]), ('tile_x', [-1, 1])],None,6
+ No: 2 GFLOPS: 2.00/2.00 result: MeasureResult(costs=(0.1340506604,), error_no=0, all_cost=2.6118547916412354, timestamp=1606971086.5157351) [('tile_y', [-1, 512]), ('tile_x', [-1, 8])],None,39
+ No: 3 GFLOPS: 2.67/2.67 result: MeasureResult(costs=(0.1007248118,), error_no=0, all_cost=1.9765989780426025, timestamp=1606971088.6633596) [('tile_y', [-1, 2]), ('tile_x', [-1, 8])],None,31
+ No: 4 GFLOPS: 7.54/7.54 result: MeasureResult(costs=(0.0356065046,), error_no=0, all_cost=1.0376152992248535, timestamp=1606971089.7646756) [('tile_y', [-1, 1]), ('tile_x', [-1, 32])],None,50
+ No: 5 GFLOPS: 13.38/13.38 result: MeasureResult(costs=(0.0200573498,), error_no=0, all_cost=0.8301742076873779, timestamp=1606971090.6316118) [('tile_y', [-1, 256]), ('tile_x', [-1, 64])],None,68
+ No: 6 GFLOPS: 12.36/13.38 result: MeasureResult(costs=(0.021725459,), error_no=0, all_cost=0.7730629444122314, timestamp=1606971091.518449) [('tile_y', [-1, 256]), ('tile_x', [-1, 512])],None,98
+ No: 7 GFLOPS: 0.92/13.38 result: MeasureResult(costs=(0.2913878208,), error_no=0, all_cost=5.061047792434692, timestamp=1606971096.7092643) [('tile_y', [-1, 128]), ('tile_x', [-1, 2])],None,17
+ No: 8 GFLOPS: 2.46/13.38 result: MeasureResult(costs=(0.109199307,), error_no=0, all_cost=2.1377108097076416, timestamp=1606971098.9405856) [('tile_y', [-1, 8]), ('tile_x', [-1, 4])],None,23
+ No: 9 GFLOPS: 11.38/13.38 result: MeasureResult(costs=(0.023597700399999998,), error_no=0, all_cost=0.7382776737213135, timestamp=1606971100.6404655) [('tile_y', [-1, 256]), ('tile_x', [-1, 32])],None,58
+ No: 10 GFLOPS: 14.33/14.33 result: MeasureResult(costs=(0.0187269724,), error_no=0, all_cost=0.7783937454223633, timestamp=1606971101.4758115) [('tile_y', [-1, 64]), ('tile_x', [-1, 128])],None,76
diff --git a/docs/_sources/tutorials/dev/low_level_custom_pass.rst.txt b/docs/_sources/tutorials/dev/low_level_custom_pass.rst.txt
index 7543617..d0dcd93 100644
--- a/docs/_sources/tutorials/dev/low_level_custom_pass.rst.txt
+++ b/docs/_sources/tutorials/dev/low_level_custom_pass.rst.txt
@@ -74,8 +74,8 @@ our customized lowering pass to manipulate the IR directly instead of using sche
primfn(a_1: handle, b_1: handle, c_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {b: Buffer(b_2: Pointer(float32), float32, [128], []),
- c: Buffer(c_2: Pointer(float32), float32, [128], []),
+ buffers = {c: Buffer(c_2: Pointer(float32), float32, [128], []),
+ b: Buffer(b_2: Pointer(float32), float32, [128], []),
a: Buffer(a_2: Pointer(float32), float32, [128], [])}
buffer_map = {a_1: a, b_1: b, c_1: c} {
for (i: int32, 0, 128) {
diff --git a/docs/_sources/tutorials/dev/sg_execution_times.rst.txt b/docs/_sources/tutorials/dev/sg_execution_times.rst.txt
index 4636482..60969c5 100644
--- a/docs/_sources/tutorials/dev/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorials/dev/sg_execution_times.rst.txt
@@ -5,8 +5,8 @@
Computation times
=================
-**00:29.652** total execution time for **tutorials_dev** files:
+**00:32.297** total execution time for **tutorials_dev** files:
-- **00:29.065**: :ref:`sphx_glr_tutorials_dev_bring_your_own_datatypes.py` (``bring_your_own_datatypes.py``)
-- **00:00.418**: :ref:`sphx_glr_tutorials_dev_use_pass_infra.py` (``use_pass_infra.py``)
-- **00:00.168**: :ref:`sphx_glr_tutorials_dev_low_level_custom_pass.py` (``low_level_custom_pass.py``)
+- **00:31.722**: :ref:`sphx_glr_tutorials_dev_bring_your_own_datatypes.py` (``bring_your_own_datatypes.py``)
+- **00:00.395**: :ref:`sphx_glr_tutorials_dev_use_pass_infra.py` (``use_pass_infra.py``)
+- **00:00.180**: :ref:`sphx_glr_tutorials_dev_low_level_custom_pass.py` (``low_level_custom_pass.py``)
diff --git a/docs/_sources/tutorials/frontend/deploy_model_on_android.rst.txt b/docs/_sources/tutorials/frontend/deploy_model_on_android.rst.txt
index bcdb4c5..801b892 100644
--- a/docs/_sources/tutorials/frontend/deploy_model_on_android.rst.txt
+++ b/docs/_sources/tutorials/frontend/deploy_model_on_android.rst.txt
@@ -421,7 +421,7 @@ Execute on TVM
TVM prediction top-1: tiger cat
Evaluate inference time cost...
- Mean inference time (std dev): 7.47 ms (0.57 ms)
+ Mean inference time (std dev): 5.82 ms (0.05 ms)
diff --git a/docs/_sources/tutorials/frontend/deploy_object_detection_pytorch.rst.txt b/docs/_sources/tutorials/frontend/deploy_object_detection_pytorch.rst.txt
index 0586f21..b1a773d 100644
--- a/docs/_sources/tutorials/frontend/deploy_object_detection_pytorch.rst.txt
+++ b/docs/_sources/tutorials/frontend/deploy_object_detection_pytorch.rst.txt
@@ -121,9 +121,6 @@ Load pre-trained maskrcnn from torchvision and do tracing
for s, s_orig in zip(new_size, original_size)
/usr/local/lib/python3.6/dist-packages/torchvision/models/detection/roi_heads.py:372: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
return torch.tensor(M + 2 * padding).to(torch.float32) / torch.tensor(M).to(torch.float32)
- /usr/local/lib/python3.6/dist-packages/torch/jit/_trace.py:966: TracerWarning: Output nr 2. of the traced function does not match the corresponding output of the Python function. Detailed error:
- With rtol=1e-05 and atol=1e-05, found 1 element(s) (out of 2) whose difference(s) exceeded the margin of error (including 0 nan comparisons). The greatest difference was 2.456456422805786e-05 (0.11357344686985016 vs. 0.1135488823056221), which occurred at index 1.
- _module_class,
@@ -250,7 +247,7 @@ Get boxes with score larger than 0.9
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 34.576 seconds)
+ **Total running time of the script:** ( 2 minutes 6.879 seconds)
.. _sphx_glr_download_tutorials_frontend_deploy_object_detection_pytorch.py:
diff --git a/docs/_sources/tutorials/frontend/deploy_prequantized.rst.txt b/docs/_sources/tutorials/frontend/deploy_prequantized.rst.txt
index 68b9a93..b756fb0 100644
--- a/docs/_sources/tutorials/frontend/deploy_prequantized.rst.txt
+++ b/docs/_sources/tutorials/frontend/deploy_prequantized.rst.txt
@@ -299,7 +299,7 @@ We should see identical labels printed.
.. code-block:: none
- PyTorch top3 labels: ['tiger cat', 'lynx, catamount', 'Egyptian cat']
+ PyTorch top3 labels: ['tiger cat', 'Egyptian cat', 'lynx, catamount']
TVM top3 labels: ['tiger cat', 'Egyptian cat', 'tabby, tabby cat']
@@ -323,7 +323,7 @@ output values are identical out of 1000 outputs from mobilenet v2.
.. code-block:: none
- 156 in 1000 raw floating outputs identical.
+ 132 in 1000 raw floating outputs identical.
@@ -350,7 +350,7 @@ Here we give an example of how to measure performance of TVM compiled models.
.. code-block:: none
- Elapsed average ms: 16.34091185
+ Elapsed average ms: 20.037420060000002
diff --git a/docs/_sources/tutorials/frontend/deploy_prequantized_tflite.rst.txt b/docs/_sources/tutorials/frontend/deploy_prequantized_tflite.rst.txt
index 394c8c7..0440bf3 100644
--- a/docs/_sources/tutorials/frontend/deploy_prequantized_tflite.rst.txt
+++ b/docs/_sources/tutorials/frontend/deploy_prequantized_tflite.rst.txt
@@ -368,7 +368,7 @@ Here we give an example of how to measure performance of TVM compiled models.
.. code-block:: none
- Elapsed average ms: 36.18794086999999
+ Elapsed average ms: 36.55689154
@@ -401,7 +401,7 @@ Here we give an example of how to measure performance of TVM compiled models.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 2 minutes 16.157 seconds)
+ **Total running time of the script:** ( 2 minutes 40.367 seconds)
.. _sphx_glr_download_tutorials_frontend_deploy_prequantized_tflite.py:
diff --git a/docs/_sources/tutorials/frontend/deploy_ssd_gluoncv.rst.txt b/docs/_sources/tutorials/frontend/deploy_ssd_gluoncv.rst.txt
index 53d9085..8bbb20a 100644
--- a/docs/_sources/tutorials/frontend/deploy_ssd_gluoncv.rst.txt
+++ b/docs/_sources/tutorials/frontend/deploy_ssd_gluoncv.rst.txt
@@ -195,7 +195,7 @@ Display result
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 33.744 seconds)
+ **Total running time of the script:** ( 1 minutes 57.542 seconds)
.. _sphx_glr_download_tutorials_frontend_deploy_ssd_gluoncv.py:
diff --git a/docs/_sources/tutorials/frontend/from_pytorch.rst.txt b/docs/_sources/tutorials/frontend/from_pytorch.rst.txt
index 0e78d2c..d26b661 100644
--- a/docs/_sources/tutorials/frontend/from_pytorch.rst.txt
+++ b/docs/_sources/tutorials/frontend/from_pytorch.rst.txt
@@ -155,8 +155,8 @@ Compile the graph to llvm target with given input specification.
.. code-block:: none
-
...47%, 0.01 MB, 695 KB/s, 0 seconds passed
...94%, 0.02 MB, 1355 KB/s, 0 seconds passed
...100%, 0.02 MB, 1989 KB/s, 0 seconds passed
- Cannot find config for target=llvm -keys=cpu, workload=('dense_nopack.x86', ('TENSOR', (1, 512), 'float32'), ('TENSOR', (1000, 512), 'float32'), None, 'float32'). A fallback configuration is used, which may bring great performance regression.
+
...47%, 0.01 MB, 40 KB/s, 0 seconds passed
...94%, 0.02 MB, 80 KB/s, 0 seconds passed
...100%, 0.02 MB, 121 KB/s, 0 seconds passed
+ Cannot find config for target=llvm -keys=cpu -link-params=0, workload=('dense_nopack.x86', ('TENSOR', (1, 512), 'float32'), ('TENSOR', (1000, 512), 'float32'), None, 'float32'). A fallback configuration is used, which may bring great performance regression.
diff --git a/docs/_sources/tutorials/frontend/from_tensorflow.rst.txt b/docs/_sources/tutorials/frontend/from_tensorflow.rst.txt
index 89b0b35..e5a2151 100644
--- a/docs/_sources/tutorials/frontend/from_tensorflow.rst.txt
+++ b/docs/_sources/tutorials/frontend/from_tensorflow.rst.txt
@@ -204,23 +204,23 @@ Results:
WARNING:root:Attribute Tdim is ignored in relay.sym.expand_dims
WARNING:root:Attribute _node_name is ignored in relay.sym.expand_dims
WARNING:root:Attribute _target_layout is ignored in relay.sym.expand_dims
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.resize
WARNING:root:Attribute half_pixel_centers is ignored in relay.sym.resize
WARNING:root:Attribute T is ignored in relay.sym.resize
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.resize
WARNING:root:Attribute _node_name is ignored in relay.sym.resize
WARNING:root:Attribute _target_layout is ignored in relay.sym.resize
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
@@ -228,9 +228,9 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
@@ -238,32 +238,32 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.copy
@@ -271,14 +271,14 @@ Results:
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.max_pool2d
- WARNING:root:Attribute ksize is ignored in relay.sym.max_pool2d
WARNING:root:Attribute T is ignored in relay.sym.max_pool2d
+ WARNING:root:Attribute ksize is ignored in relay.sym.max_pool2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.max_pool2d
WARNING:root:Attribute _node_name is ignored in relay.sym.max_pool2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.max_pool2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
@@ -286,9 +286,9 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
@@ -296,32 +296,32 @@ Results:
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute ksize is ignored in relay.sym.max_pool2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.max_pool2d
WARNING:root:Attribute T is ignored in relay.sym.max_pool2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.max_pool2d
WARNING:root:Attribute _node_name is ignored in relay.sym.max_pool2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.max_pool2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
@@ -330,55 +330,55 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute message is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute message is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.conv2d
@@ -387,12 +387,12 @@ Results:
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
@@ -400,10 +400,10 @@ Results:
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
@@ -415,14 +415,14 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
@@ -430,8 +430,8 @@ Results:
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.relu
@@ -439,14 +439,14 @@ Results:
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute ksize is ignored in relay.sym.avg_pool2d
- WARNING:root:Attribute T is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.avg_pool2d
+ WARNING:root:Attribute T is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _node_name is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.avg_pool2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
@@ -454,22 +454,22 @@ Results:
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.concatenate
- WARNING:root:Attribute T is ignored in relay.sym.concatenate
WARNING:root:Attribute N is ignored in relay.sym.concatenate
+ WARNING:root:Attribute T is ignored in relay.sym.concatenate
WARNING:root:Attribute _node_name is ignored in relay.sym.concatenate
WARNING:root:Attribute _target_layout is ignored in relay.sym.concatenate
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
@@ -486,37 +486,37 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
@@ -524,14 +524,14 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
@@ -544,32 +544,32 @@ Results:
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.copy
@@ -581,19 +581,19 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute ksize is ignored in relay.sym.avg_pool2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute T is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _node_name is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.avg_pool2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
@@ -605,19 +605,19 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.concatenate
- WARNING:root:Attribute N is ignored in relay.sym.concatenate
WARNING:root:Attribute T is ignored in relay.sym.concatenate
+ WARNING:root:Attribute N is ignored in relay.sym.concatenate
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.concatenate
WARNING:root:Attribute _node_name is ignored in relay.sym.concatenate
WARNING:root:Attribute _target_layout is ignored in relay.sym.concatenate
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
@@ -625,42 +625,42 @@ Results:
WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.relu
@@ -668,9 +668,9 @@ Results:
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
@@ -682,27 +682,27 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.conv2d
@@ -715,67 +715,67 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute ksize is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.avg_pool2d
- WARNING:root:Attribute T is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _node_name is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.avg_pool2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute message is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.concatenate
- WARNING:root:Attribute N is ignored in relay.sym.concatenate
WARNING:root:Attribute _output_shapes is ignored in relay.sym.concatenate
+ WARNING:root:Attribute N is ignored in relay.sym.concatenate
WARNING:root:Attribute _node_name is ignored in relay.sym.concatenate
WARNING:root:Attribute _target_layout is ignored in relay.sym.concatenate
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
@@ -783,37 +783,37 @@ Results:
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
@@ -829,33 +829,33 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.max_pool2d
- WARNING:root:Attribute ksize is ignored in relay.sym.max_pool2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.max_pool2d
+ WARNING:root:Attribute ksize is ignored in relay.sym.max_pool2d
+ WARNING:root:Attribute T is ignored in relay.sym.max_pool2d
WARNING:root:Attribute _node_name is ignored in relay.sym.max_pool2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.max_pool2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.concatenate
- WARNING:root:Attribute T is ignored in relay.sym.concatenate
WARNING:root:Attribute N is ignored in relay.sym.concatenate
+ WARNING:root:Attribute T is ignored in relay.sym.concatenate
WARNING:root:Attribute _node_name is ignored in relay.sym.concatenate
WARNING:root:Attribute _target_layout is ignored in relay.sym.concatenate
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
@@ -863,37 +863,37 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
@@ -903,26 +903,26 @@ Results:
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
@@ -930,80 +930,80 @@ Results:
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute message is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.copy
@@ -1020,81 +1020,81 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _node_name is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.avg_pool2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute message is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute N is ignored in relay.sym.concatenate
- WARNING:root:Attribute T is ignored in relay.sym.concatenate
WARNING:root:Attribute _output_shapes is ignored in relay.sym.concatenate
+ WARNING:root:Attribute T is ignored in relay.sym.concatenate
+ WARNING:root:Attribute N is ignored in relay.sym.concatenate
WARNING:root:Attribute _node_name is ignored in relay.sym.concatenate
WARNING:root:Attribute _target_layout is ignored in relay.sym.concatenate
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.relu
@@ -1103,25 +1103,25 @@ Results:
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
@@ -1149,19 +1149,19 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
@@ -1173,23 +1173,23 @@ Results:
WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.relu
@@ -1198,69 +1198,69 @@ Results:
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute ksize is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute T is ignored in relay.sym.avg_pool2d
+ WARNING:root:Attribute ksize is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _node_name is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.avg_pool2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute N is ignored in relay.sym.concatenate
- WARNING:root:Attribute T is ignored in relay.sym.concatenate
WARNING:root:Attribute _output_shapes is ignored in relay.sym.concatenate
+ WARNING:root:Attribute T is ignored in relay.sym.concatenate
+ WARNING:root:Attribute N is ignored in relay.sym.concatenate
WARNING:root:Attribute _node_name is ignored in relay.sym.concatenate
WARNING:root:Attribute _target_layout is ignored in relay.sym.concatenate
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
@@ -1273,37 +1273,37 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute message is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
@@ -1311,13 +1311,13 @@ Results:
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
@@ -1330,18 +1330,18 @@ Results:
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
@@ -1350,69 +1350,69 @@ Results:
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute ksize is ignored in relay.sym.avg_pool2d
@@ -1420,52 +1420,52 @@ Results:
WARNING:root:Attribute _output_shapes is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _node_name is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.avg_pool2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.concatenate
- WARNING:root:Attribute N is ignored in relay.sym.concatenate
WARNING:root:Attribute T is ignored in relay.sym.concatenate
+ WARNING:root:Attribute N is ignored in relay.sym.concatenate
WARNING:root:Attribute _node_name is ignored in relay.sym.concatenate
WARNING:root:Attribute _target_layout is ignored in relay.sym.concatenate
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
@@ -1482,76 +1482,76 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.relu
@@ -1559,47 +1559,47 @@ Results:
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
@@ -1607,32 +1607,32 @@ Results:
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.avg_pool2d
- WARNING:root:Attribute T is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute ksize is ignored in relay.sym.avg_pool2d
+ WARNING:root:Attribute T is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _node_name is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.avg_pool2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
@@ -1644,65 +1644,65 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.concatenate
WARNING:root:Attribute _node_name is ignored in relay.sym.concatenate
WARNING:root:Attribute _target_layout is ignored in relay.sym.concatenate
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
@@ -1712,55 +1712,55 @@ Results:
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute message is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.max_pool2d
@@ -1769,56 +1769,56 @@ Results:
WARNING:root:Attribute _node_name is ignored in relay.sym.max_pool2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.max_pool2d
WARNING:root:Attribute N is ignored in relay.sym.concatenate
- WARNING:root:Attribute T is ignored in relay.sym.concatenate
WARNING:root:Attribute _output_shapes is ignored in relay.sym.concatenate
+ WARNING:root:Attribute T is ignored in relay.sym.concatenate
WARNING:root:Attribute _node_name is ignored in relay.sym.concatenate
WARNING:root:Attribute _target_layout is ignored in relay.sym.concatenate
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.copy
@@ -1830,10 +1830,10 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
@@ -1841,17 +1841,17 @@ Results:
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute message is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
@@ -1859,19 +1859,19 @@ Results:
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
@@ -1883,46 +1883,46 @@ Results:
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.avg_pool2d
@@ -1930,72 +1930,72 @@ Results:
WARNING:root:Attribute ksize is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _node_name is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.avg_pool2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.concatenate
WARNING:root:Attribute N is ignored in relay.sym.concatenate
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.concatenate
WARNING:root:Attribute T is ignored in relay.sym.concatenate
WARNING:root:Attribute _node_name is ignored in relay.sym.concatenate
WARNING:root:Attribute _target_layout is ignored in relay.sym.concatenate
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute message is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
@@ -2003,26 +2003,26 @@ Results:
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute message is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
@@ -2030,38 +2030,38 @@ Results:
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
WARNING:root:Attribute message is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.relu
@@ -2069,37 +2069,37 @@ Results:
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute T is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
+ WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
- WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
@@ -2107,53 +2107,53 @@ Results:
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
- WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
WARNING:root:Attribute ksize is ignored in relay.sym.max_pool2d
- WARNING:root:Attribute T is ignored in relay.sym.max_pool2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.max_pool2d
+ WARNING:root:Attribute T is ignored in relay.sym.max_pool2d
WARNING:root:Attribute _node_name is ignored in relay.sym.max_pool2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.max_pool2d
- WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
- WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute T is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.conv2d
+ WARNING:root:Attribute explicit_paddings is ignored in relay.sym.conv2d
+ WARNING:root:Attribute use_cudnn_on_gpu is ignored in relay.sym.conv2d
WARNING:root:Attribute _node_name is ignored in relay.sym.conv2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.conv2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.batch_norm
WARNING:root:Attribute T is ignored in relay.sym.batch_norm
WARNING:root:Attribute _node_name is ignored in relay.sym.batch_norm
WARNING:root:Attribute _target_layout is ignored in relay.sym.batch_norm
- WARNING:root:Attribute message is ignored in relay.sym.copy
- WARNING:root:Attribute T is ignored in relay.sym.copy
WARNING:root:Attribute _output_shapes is ignored in relay.sym.copy
+ WARNING:root:Attribute T is ignored in relay.sym.copy
+ WARNING:root:Attribute message is ignored in relay.sym.copy
WARNING:root:Attribute _node_name is ignored in relay.sym.copy
WARNING:root:Attribute _target_layout is ignored in relay.sym.copy
- WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute T is ignored in relay.sym.relu
+ WARNING:root:Attribute _output_shapes is ignored in relay.sym.relu
WARNING:root:Attribute _node_name is ignored in relay.sym.relu
WARNING:root:Attribute _target_layout is ignored in relay.sym.relu
WARNING:root:Attribute _output_shapes is ignored in relay.sym.concatenate
- WARNING:root:Attribute T is ignored in relay.sym.concatenate
WARNING:root:Attribute N is ignored in relay.sym.concatenate
+ WARNING:root:Attribute T is ignored in relay.sym.concatenate
WARNING:root:Attribute _node_name is ignored in relay.sym.concatenate
WARNING:root:Attribute _target_layout is ignored in relay.sym.concatenate
+ WARNING:root:Attribute ksize is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute T is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _output_shapes is ignored in relay.sym.avg_pool2d
- WARNING:root:Attribute ksize is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _node_name is ignored in relay.sym.avg_pool2d
WARNING:root:Attribute _target_layout is ignored in relay.sym.avg_pool2d
+ WARNING:root:Attribute T is ignored in relay.sym.reshape
WARNING:root:Attribute _output_shapes is ignored in relay.sym.reshape
WARNING:root:Attribute Tshape is ignored in relay.sym.reshape
- WARNING:root:Attribute T is ignored in relay.sym.reshape
WARNING:root:Attribute _node_name is ignored in relay.sym.reshape
WARNING:root:Attribute _target_layout is ignored in relay.sym.reshape
- WARNING:root:Attribute transpose_b is ignored in relay.sym.dense
- WARNING:root:Attribute transpose_a is ignored in relay.sym.dense
- WARNING:root:Attribute T is ignored in relay.sym.dense
WARNING:root:Attribute _output_shapes is ignored in relay.sym.dense
+ WARNING:root:Attribute T is ignored in relay.sym.dense
+ WARNING:root:Attribute transpose_a is ignored in relay.sym.dense
+ WARNING:root:Attribute transpose_b is ignored in relay.sym.dense
WARNING:root:Attribute _node_name is ignored in relay.sym.dense
WARNING:root:Attribute _target_layout is ignored in relay.sym.dense
WARNING:root:Attribute _output_shapes is ignored in relay.sym.softmax
diff --git a/docs/_sources/tutorials/frontend/sg_execution_times.rst.txt b/docs/_sources/tutorials/frontend/sg_execution_times.rst.txt
index cdcbefb..cdd840c 100644
--- a/docs/_sources/tutorials/frontend/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorials/frontend/sg_execution_times.rst.txt
@@ -5,24 +5,24 @@
Computation times
=================
-**08:54.802** total execution time for **tutorials_frontend** files:
+**10:42.214** total execution time for **tutorials_frontend** files:
-- **02:16.157**: :ref:`sphx_glr_tutorials_frontend_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)
-- **01:34.576**: :ref:`sphx_glr_tutorials_frontend_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``)
-- **01:33.744**: :ref:`sphx_glr_tutorials_frontend_deploy_ssd_gluoncv.py` (``deploy_ssd_gluoncv.py``)
-- **00:32.651**: :ref:`sphx_glr_tutorials_frontend_from_tensorflow.py` (``from_tensorflow.py``)
-- **00:24.693**: :ref:`sphx_glr_tutorials_frontend_from_tflite.py` (``from_tflite.py``)
-- **00:24.063**: :ref:`sphx_glr_tutorials_frontend_deploy_quantized.py` (``deploy_quantized.py``)
-- **00:23.927**: :ref:`sphx_glr_tutorials_frontend_deploy_prequantized.py` (``deploy_prequantized.py``)
-- **00:23.549**: :ref:`sphx_glr_tutorials_frontend_from_darknet.py` (``from_darknet.py``)
-- **00:15.855**: :ref:`sphx_glr_tutorials_frontend_from_caffe2.py` (``from_caffe2.py``)
-- **00:13.609**: :ref:`sphx_glr_tutorials_frontend_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)
-- **00:11.932**: :ref:`sphx_glr_tutorials_frontend_deploy_model_on_android.py` (``deploy_model_on_android.py``)
-- **00:09.789**: :ref:`sphx_glr_tutorials_frontend_from_pytorch.py` (``from_pytorch.py``)
-- **00:08.777**: :ref:`sphx_glr_tutorials_frontend_from_coreml.py` (``from_coreml.py``)
-- **00:08.417**: :ref:`sphx_glr_tutorials_frontend_from_mxnet.py` (``from_mxnet.py``)
-- **00:07.462**: :ref:`sphx_glr_tutorials_frontend_from_keras.py` (``from_keras.py``)
-- **00:02.870**: :ref:`sphx_glr_tutorials_frontend_using_external_lib.py` (``using_external_lib.py``)
-- **00:01.411**: :ref:`sphx_glr_tutorials_frontend_from_onnx.py` (``from_onnx.py``)
-- **00:01.130**: :ref:`sphx_glr_tutorials_frontend_build_gcn.py` (``build_gcn.py``)
-- **00:00.190**: :ref:`sphx_glr_tutorials_frontend_deploy_sparse.py` (``deploy_sparse.py``)
+- **02:40.367**: :ref:`sphx_glr_tutorials_frontend_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)
+- **02:06.879**: :ref:`sphx_glr_tutorials_frontend_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``)
+- **01:57.542**: :ref:`sphx_glr_tutorials_frontend_deploy_ssd_gluoncv.py` (``deploy_ssd_gluoncv.py``)
+- **00:38.420**: :ref:`sphx_glr_tutorials_frontend_from_tensorflow.py` (``from_tensorflow.py``)
+- **00:29.895**: :ref:`sphx_glr_tutorials_frontend_deploy_quantized.py` (``deploy_quantized.py``)
+- **00:29.076**: :ref:`sphx_glr_tutorials_frontend_deploy_prequantized.py` (``deploy_prequantized.py``)
+- **00:26.377**: :ref:`sphx_glr_tutorials_frontend_from_tflite.py` (``from_tflite.py``)
+- **00:23.165**: :ref:`sphx_glr_tutorials_frontend_from_darknet.py` (``from_darknet.py``)
+- **00:16.300**: :ref:`sphx_glr_tutorials_frontend_from_caffe2.py` (``from_caffe2.py``)
+- **00:14.964**: :ref:`sphx_glr_tutorials_frontend_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)
+- **00:12.725**: :ref:`sphx_glr_tutorials_frontend_deploy_model_on_android.py` (``deploy_model_on_android.py``)
+- **00:12.175**: :ref:`sphx_glr_tutorials_frontend_from_pytorch.py` (``from_pytorch.py``)
+- **00:09.739**: :ref:`sphx_glr_tutorials_frontend_from_mxnet.py` (``from_mxnet.py``)
+- **00:09.128**: :ref:`sphx_glr_tutorials_frontend_from_coreml.py` (``from_coreml.py``)
+- **00:08.881**: :ref:`sphx_glr_tutorials_frontend_from_keras.py` (``from_keras.py``)
+- **00:03.408**: :ref:`sphx_glr_tutorials_frontend_using_external_lib.py` (``using_external_lib.py``)
+- **00:01.789**: :ref:`sphx_glr_tutorials_frontend_from_onnx.py` (``from_onnx.py``)
+- **00:01.191**: :ref:`sphx_glr_tutorials_frontend_build_gcn.py` (``build_gcn.py``)
+- **00:00.195**: :ref:`sphx_glr_tutorials_frontend_deploy_sparse.py` (``deploy_sparse.py``)
diff --git a/docs/_sources/tutorials/get_started/cross_compilation_and_rpc.rst.txt b/docs/_sources/tutorials/get_started/cross_compilation_and_rpc.rst.txt
index 291c0f3..c17f44f 100644
--- a/docs/_sources/tutorials/get_started/cross_compilation_and_rpc.rst.txt
+++ b/docs/_sources/tutorials/get_started/cross_compilation_and_rpc.rst.txt
@@ -235,7 +235,7 @@ device and returns the measured cost. Network overhead is excluded.
.. code-block:: none
- 1.743e-07 secs/op
+ 1.288e-07 secs/op
diff --git a/docs/_sources/tutorials/get_started/relay_quick_start.rst.txt b/docs/_sources/tutorials/get_started/relay_quick_start.rst.txt
index e9bbf9e..0560c42 100644
--- a/docs/_sources/tutorials/get_started/relay_quick_start.rst.txt
+++ b/docs/_sources/tutorials/get_started/relay_quick_start.rst.txt
@@ -224,7 +224,7 @@ in this example. Then the machine code will be generated as the module library.
.. code-block:: none
-
...1%, 0.01 MB, 31 KB/s, 0 seconds passed
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sed
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KB/s, 0 seconds passed
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...98%, 0.46 MB, 1757 KB/s, 0 seconds passed
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+
...1%, 0.01 MB, 34 KB/s, 0 seconds passed
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ssed
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303 KB/s, 0 seconds passed
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...95%, 0.45 MB, 1722 KB/s, 0 seconds passed
...96%, 0.45 MB, 1751 KB/s, 0 seconds passed
...98%, 0.46 MB, 1781 KB/s, 0 seconds passed
...100%, 0.47 MB, 1810 KB/s, 0 seconds passed
Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -model=unknown -thread_warp_size=32, workload=('dense_small_batch.cuda', ('TENSOR', (1, 512), 'float32'), ('TENSOR', (1000, 512), 'float32'), None, 'float32'). A fallback configuration is used, which may bring great performance regression.
diff --git a/docs/_sources/tutorials/get_started/sg_execution_times.rst.txt b/docs/_sources/tutorials/get_started/sg_execution_times.rst.txt
index d3db0b1..4a33a45 100644
--- a/docs/_sources/tutorials/get_started/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorials/get_started/sg_execution_times.rst.txt
@@ -5,9 +5,9 @@
Computation times
=================
-**00:13.668** total execution time for **tutorials_get_started** files:
+**00:16.734** total execution time for **tutorials_get_started** files:
-- **00:13.113**: :ref:`sphx_glr_tutorials_get_started_relay_quick_start.py` (``relay_quick_start.py``)
-- **00:00.325**: :ref:`sphx_glr_tutorials_get_started_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)
-- **00:00.136**: :ref:`sphx_glr_tutorials_get_started_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``)
-- **00:00.094**: :ref:`sphx_glr_tutorials_get_started_tvmc_command_line_driver.py` (``tvmc_command_line_driver.py``)
+- **00:16.173**: :ref:`sphx_glr_tutorials_get_started_relay_quick_start.py` (``relay_quick_start.py``)
+- **00:00.354**: :ref:`sphx_glr_tutorials_get_started_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)
+- **00:00.122**: :ref:`sphx_glr_tutorials_get_started_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``)
+- **00:00.086**: :ref:`sphx_glr_tutorials_get_started_tvmc_command_line_driver.py` (``tvmc_command_line_driver.py``)
diff --git a/docs/_sources/tutorials/get_started/tensor_expr_get_started.rst.txt b/docs/_sources/tutorials/get_started/tensor_expr_get_started.rst.txt
index 8673a9a..f86234d 100644
--- a/docs/_sources/tutorials/get_started/tensor_expr_get_started.rst.txt
+++ b/docs/_sources/tutorials/get_started/tensor_expr_get_started.rst.txt
@@ -325,7 +325,7 @@ The following code first performs the following steps:
.. code-block:: none
- ['myadd.tvm_meta.json', 'myadd.so', 'myadd.ptx', 'myadd.o']
+ ['myadd.tvm_meta.json', 'myadd.ptx', 'myadd.so', 'myadd.o']
diff --git a/docs/_sources/tutorials/language/schedule_primitives.rst.txt b/docs/_sources/tutorials/language/schedule_primitives.rst.txt
index 0527e5e..7cf5603 100644
--- a/docs/_sources/tutorials/language/schedule_primitives.rst.txt
+++ b/docs/_sources/tutorials/language/schedule_primitives.rst.txt
@@ -85,13 +85,13 @@ schedule computes tensor in a serial manner in a row-major order.
primfn(A_1: handle, B_1: handle, C_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {C: Buffer(C_2: Pointer(float32), float32, [m: int32, n: int32], [stride: int32, stride_1: int32], type="auto"),
- B: Buffer(B_2: Pointer(float32), float32, [m, n], [stride_2: int32, stride_3: int32], type="auto"),
+ buffers = {B: Buffer(B_2: Pointer(float32), float32, [m: int32, n: int32], [stride: int32, stride_1: int32], type="auto"),
+ C: Buffer(C_2: Pointer(float32), float32, [m, n], [stride_2: int32, stride_3: int32], type="auto"),
A: Buffer(A_2: Pointer(float32), float32, [m, n], [stride_4: int32, stride_5: int32], type="auto")}
buffer_map = {A_1: A, B_1: B, C_1: C} {
for (i: int32, 0, m) {
for (j: int32, 0, n) {
- C_2[((i*stride) + (j*stride_1))] = ((float32*)A_2[((i*stride_4) + (j*stride_5))]*(float32*)B_2[((i*stride_2) + (j*stride_3))])
+ C_2[((i*stride_2) + (j*stride_3))] = ((float32*)A_2[((i*stride_4) + (j*stride_5))]*(float32*)B_2[((i*stride) + (j*stride_1))])
}
}
}
@@ -407,15 +407,15 @@ tensors at the root separately by default.
primfn(A_1: handle, B_1: handle, C_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {B: Buffer(B_2: Pointer(float32), float32, [m: int32], [stride: int32], type="auto"),
- C: Buffer(C_2: Pointer(float32), float32, [m], [stride_1: int32], type="auto"),
+ buffers = {C: Buffer(C_2: Pointer(float32), float32, [m: int32], [stride: int32], type="auto"),
+ B: Buffer(B_2: Pointer(float32), float32, [m], [stride_1: int32], type="auto"),
A: Buffer(A_2: Pointer(float32), float32, [m], [stride_2: int32], type="auto")}
buffer_map = {A_1: A, B_1: B, C_1: C} {
for (i: int32, 0, m) {
- B_2[(i*stride)] = ((float32*)A_2[(i*stride_2)] + 1f32)
+ B_2[(i*stride_1)] = ((float32*)A_2[(i*stride_2)] + 1f32)
}
for (i_1: int32, 0, m) {
- C_2[(i_1*stride_1)] = ((float32*)B_2[(i_1*stride)]*2f32)
+ C_2[(i_1*stride)] = ((float32*)B_2[(i_1*stride_1)]*2f32)
}
}
@@ -492,12 +492,12 @@ tensor is required.
primfn(A_1: handle, B_1: handle, C_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {C: Buffer(C_2: Pointer(float32), float32, [m: int32], [stride: int32], type="auto"),
- B: Buffer(B_2: Pointer(float32), float32, [m], [stride_1: int32], type="auto"),
+ buffers = {B: Buffer(B_2: Pointer(float32), float32, [m: int32], [stride: int32], type="auto"),
+ C: Buffer(C_2: Pointer(float32), float32, [m], [stride_1: int32], type="auto"),
A: Buffer(A_2: Pointer(float32), float32, [m], [stride_2: int32], type="auto")}
buffer_map = {A_1: A, B_1: B, C_1: C} {
for (i: int32, 0, m) {
- C_2[(i*stride)] = (((float32*)A_2[(i*stride_2)] + 1f32)*2f32)
+ C_2[(i*stride_1)] = (((float32*)A_2[(i*stride_2)] + 1f32)*2f32)
}
}
diff --git a/docs/_sources/tutorials/language/sg_execution_times.rst.txt b/docs/_sources/tutorials/language/sg_execution_times.rst.txt
index 7c34b95..e767fa0 100644
--- a/docs/_sources/tutorials/language/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorials/language/sg_execution_times.rst.txt
@@ -5,13 +5,13 @@
Computation times
=================
-**00:04.230** total execution time for **tutorials_language** files:
+**00:04.429** total execution time for **tutorials_language** files:
-- **00:01.517**: :ref:`sphx_glr_tutorials_language_intrin_math.py` (``intrin_math.py``)
-- **00:00.812**: :ref:`sphx_glr_tutorials_language_tensorize.py` (``tensorize.py``)
-- **00:00.558**: :ref:`sphx_glr_tutorials_language_reduction.py` (``reduction.py``)
-- **00:00.529**: :ref:`sphx_glr_tutorials_language_scan.py` (``scan.py``)
-- **00:00.259**: :ref:`sphx_glr_tutorials_language_extern_op.py` (``extern_op.py``)
-- **00:00.189**: :ref:`sphx_glr_tutorials_language_schedule_primitives.py` (``schedule_primitives.py``)
-- **00:00.189**: :ref:`sphx_glr_tutorials_language_tedd.py` (``tedd.py``)
-- **00:00.176**: :ref:`sphx_glr_tutorials_language_tuple_inputs.py` (``tuple_inputs.py``)
+- **00:01.567**: :ref:`sphx_glr_tutorials_language_intrin_math.py` (``intrin_math.py``)
+- **00:00.782**: :ref:`sphx_glr_tutorials_language_tensorize.py` (``tensorize.py``)
+- **00:00.582**: :ref:`sphx_glr_tutorials_language_scan.py` (``scan.py``)
+- **00:00.547**: :ref:`sphx_glr_tutorials_language_reduction.py` (``reduction.py``)
+- **00:00.315**: :ref:`sphx_glr_tutorials_language_extern_op.py` (``extern_op.py``)
+- **00:00.227**: :ref:`sphx_glr_tutorials_language_schedule_primitives.py` (``schedule_primitives.py``)
+- **00:00.212**: :ref:`sphx_glr_tutorials_language_tuple_inputs.py` (``tuple_inputs.py``)
+- **00:00.197**: :ref:`sphx_glr_tutorials_language_tedd.py` (``tedd.py``)
diff --git a/docs/_sources/tutorials/language/tensorize.rst.txt b/docs/_sources/tutorials/language/tensorize.rst.txt
index d330d50..165b835 100644
--- a/docs/_sources/tutorials/language/tensorize.rst.txt
+++ b/docs/_sources/tutorials/language/tensorize.rst.txt
@@ -70,8 +70,8 @@ The following lines describe the computation :code:`A * B^T` in TVM.
primfn(A_1: handle, B_1: handle, C_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {B: Buffer(B_2: Pointer(float32), float32, [512, 64], []),
- C: Buffer(C_2: Pointer(float32), float32, [1024, 512], []),
+ buffers = {C: Buffer(C_2: Pointer(float32), float32, [1024, 512], []),
+ B: Buffer(B_2: Pointer(float32), float32, [512, 64], []),
A: Buffer(A_2: Pointer(float32), float32, [1024, 64], [])}
buffer_map = {A_1: A, B_1: B, C_1: C} {
for (i: int32, 0, 1024) {
@@ -312,8 +312,8 @@ The importing needs to happen before the tensorized GEMV being executed.
B: Buffer(B_2: Pointer(float32), float32, [512, 64], []),
A: Buffer(A_2: Pointer(float32), float32, [1024, 64], [])}
buffer_map = {A_1: A, B_1: B, C_1: C} {
- attr [IterVar(i: int32, (nullptr), "DataPar", "")] "pragma_import_llvm" = "; ModuleID = '/tmp/tmpfql87iuv/input0.cc'
- source_filename = "/tmp/tmpfql87iuv/input0.cc"
+ attr [IterVar(i: int32, (nullptr), "DataPar", "")] "pragma_import_llvm" = "; ModuleID = '/tmp/tmprjxktab2/input0.cc'
+ source_filename = "/tmp/tmprjxktab2/input0.cc"
target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
target triple = "x86_64-pc-linux-gnu"
diff --git a/docs/_sources/tutorials/language/tuple_inputs.rst.txt b/docs/_sources/tutorials/language/tuple_inputs.rst.txt
index 9ddc391..2e75b9d 100644
--- a/docs/_sources/tutorials/language/tuple_inputs.rst.txt
+++ b/docs/_sources/tutorials/language/tuple_inputs.rst.txt
@@ -136,16 +136,16 @@ with :py:func:`te.comm_reducer` as below:
primfn(idx_1: handle, val_1: handle, T.v0_1: handle, T.v1_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
buffers = {T.v1: Buffer(T.v1_2: Pointer(int32), int32, [m: int32], [stride: int32], type="auto"),
- val: Buffer(val_2: Pointer(int32), int32, [m, n: int32], [stride_1: int32, stride_2: int32], type="auto"),
- T.v0: Buffer(T.v0_2: Pointer(int32), int32, [m], [stride_3: int32], type="auto"),
+ T.v0: Buffer(T.v0_2: Pointer(int32), int32, [m], [stride_1: int32], type="auto"),
+ val: Buffer(val_2: Pointer(int32), int32, [m, n: int32], [stride_2: int32, stride_3: int32], type="auto"),
idx: Buffer(idx_2: Pointer(int32), int32, [m, n], [stride_4: int32, stride_5: int32], type="auto")}
buffer_map = {idx_1: idx, val_1: val, T.v0_1: T.v0, T.v1_1: T.v1} {
for (i: int32, 0, m) {
- T.v0_2[(i*stride_3)] = -1
+ T.v0_2[(i*stride_1)] = -1
T.v1_2[(i*stride)] = -2147483648
for (k: int32, 0, n) {
- T.v0_2[(i*stride_3)] = @tir.if_then_else(((int32*)val_2[((i*stride_1) + (k*stride_2))] <= (int32*)T.v1_2[(i*stride)]), (int32*)T.v0_2[(i*stride_3)], (int32*)idx_2[((i*stride_4) + (k*stride_5))], dtype=int32)
- T.v1_2[(i*stride)] = @tir.if_then_else(((int32*)val_2[((i*stride_1) + (k*stride_2))] <= (int32*)T.v1_2[(i*stride)]), (int32*)T.v1_2[(i*stride)], (int32*)val_2[((i*stride_1) + (k*stride_2))], dtype=int32)
+ T.v0_2[(i*stride_1)] = @tir.if_then_else(((int32*)val_2[((i*stride_2) + (k*stride_3))] <= (int32*)T.v1_2[(i*stride)]), (int32*)T.v0_2[(i*stride_1)], (int32*)idx_2[((i*stride_4) + (k*stride_5))], dtype=int32)
+ T.v1_2[(i*stride)] = @tir.if_then_else(((int32*)val_2[((i*stride_2) + (k*stride_3))] <= (int32*)T.v1_2[(i*stride)]), (int32*)T.v1_2[(i*stride)], (int32*)val_2[((i*stride_2) + (k*stride_3))], dtype=int32)
}
}
}
diff --git a/docs/_sources/tutorials/micro/micro_reference_vm.rst.txt b/docs/_sources/tutorials/micro/micro_reference_vm.rst.txt
index 0181e19..04f7f33 100644
--- a/docs/_sources/tutorials/micro/micro_reference_vm.rst.txt
+++ b/docs/_sources/tutorials/micro/micro_reference_vm.rst.txt
@@ -53,7 +53,8 @@ A minimal set of prerequisites are needed:
1. `Vagrant <https://vagrantup.com>`__
2. A supported Virtual Machine hypervisor.
`VirtualBox <https://www.virtualbox.org>`__ is one suggested free hypervisor, but please note
- that the `VirtualBox Extension Pack`_ is required for proper USB forwarding.
+ that the `VirtualBox Extension Pack`_ is required for proper USB forwarding. If using VirtualBox,
+ also consider installing the `vbguest <https://github.com/dotless-de/vagrant-vbguest>`_ plugin.
.. _VirtualBox Extension Pack: https://www.virtualbox.org/wiki/Downloads#VirtualBox6.1.16OracleVMVirtualBoxExtensionPack
@@ -64,9 +65,10 @@ The first time you use a reference VM, you need to create the box locally and th
.. code-block:: bash
- ~/.../tvm $ cd apps/microtvm-vm
+ # Replace zepyhr with the name of a different platform, if you are not using Zephyr.
+ ~/.../tvm $ cd apps/microtvm/reference-vm/zephyr
# Replace <provider_name> with the name of the hypervisor you wish to use (i.e. virtualbox).
- ~/.../tvm/apps/microtvm/vm $ vagrant up --provider=<provider_name>
+ ~/.../tvm/apps/microtvm/reference-vm/zephyr $ vagrant up --provider=<provider_name>
This command will take a couple of minutes to run and will require 4 to 5GB of storage on your
diff --git a/docs/_sources/tutorials/micro/micro_tflite.rst.txt b/docs/_sources/tutorials/micro/micro_tflite.rst.txt
index 40a44c7..bb9567b 100644
--- a/docs/_sources/tutorials/micro/micro_tflite.rst.txt
+++ b/docs/_sources/tutorials/micro/micro_tflite.rst.txt
@@ -244,7 +244,7 @@ file.
.. code-block:: none
- /workspace/docs/../python/tvm/target/target.py:459: UserWarning: tvm.target.create() is being deprecated. Please use tvm.target.Target() instead
+ /workspace/docs/../python/tvm/target/target.py:460: UserWarning: tvm.target.create() is being deprecated. Please use tvm.target.Target() instead
warnings.warn("tvm.target.create() is being deprecated. Please use tvm.target.Target() instead")
diff --git a/docs/_sources/tutorials/micro/sg_execution_times.rst.txt b/docs/_sources/tutorials/micro/sg_execution_times.rst.txt
index dbf8295..8159db4 100644
--- a/docs/_sources/tutorials/micro/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorials/micro/sg_execution_times.rst.txt
@@ -5,7 +5,7 @@
Computation times
=================
-**00:05.979** total execution time for **tutorials_micro** files:
+**00:06.012** total execution time for **tutorials_micro** files:
-- **00:05.783**: :ref:`sphx_glr_tutorials_micro_micro_tflite.py` (``micro_tflite.py``)
-- **00:00.196**: :ref:`sphx_glr_tutorials_micro_micro_reference_vm.py` (``micro_reference_vm.py``)
+- **00:05.813**: :ref:`sphx_glr_tutorials_micro_micro_tflite.py` (``micro_tflite.py``)
+- **00:00.199**: :ref:`sphx_glr_tutorials_micro_micro_reference_vm.py` (``micro_reference_vm.py``)
diff --git a/docs/_sources/tutorials/optimize/opt_conv_cuda.rst.txt b/docs/_sources/tutorials/optimize/opt_conv_cuda.rst.txt
index 3992620..1f6b68f 100644
--- a/docs/_sources/tutorials/optimize/opt_conv_cuda.rst.txt
+++ b/docs/_sources/tutorials/optimize/opt_conv_cuda.rst.txt
@@ -296,7 +296,7 @@ latency of convolution.
.. code-block:: none
- Convolution: 19.712582 ms
+ Convolution: 35.309982 ms
diff --git a/docs/_sources/tutorials/optimize/opt_conv_tensorcore.rst.txt b/docs/_sources/tutorials/optimize/opt_conv_tensorcore.rst.txt
index e6ff161..b571ef1 100644
--- a/docs/_sources/tutorials/optimize/opt_conv_tensorcore.rst.txt
+++ b/docs/_sources/tutorials/optimize/opt_conv_tensorcore.rst.txt
@@ -405,8 +405,8 @@ one time.
primfn(A_1: handle, W_1: handle, Conv_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {Conv: Buffer(Conv_2: Pointer(float32), float32, [16, 14, 14, 32, 16, 16], []),
- W: Buffer(W_2: Pointer(float16), float16, [3, 3, 16, 32, 16, 16], []),
+ buffers = {W: Buffer(W_2: Pointer(float16), float16, [3, 3, 16, 32, 16, 16], []),
+ Conv: Buffer(Conv_2: Pointer(float32), float32, [16, 14, 14, 32, 16, 16], []),
A: Buffer(A_2: Pointer(float16), float16, [16, 14, 14, 16, 16, 16], [])}
buffer_map = {A_1: A, W_1: W, Conv_1: Conv} {
attr [IterVar(blockIdx.z: int32, (nullptr), "ThreadIndex", "blockIdx.z")] "thread_extent" = 196;
@@ -624,7 +624,7 @@ be able to run on our build server
.. code-block:: none
- conv2d with tensor core: 5.591369 ms
+ conv2d with tensor core: 11.963780 ms
diff --git a/docs/_sources/tutorials/optimize/opt_gemm.rst.txt b/docs/_sources/tutorials/optimize/opt_gemm.rst.txt
index 8b14499..4027f0c 100644
--- a/docs/_sources/tutorials/optimize/opt_gemm.rst.txt
+++ b/docs/_sources/tutorials/optimize/opt_gemm.rst.txt
@@ -118,8 +118,8 @@ Then we write a baseline implementation, the simplest way to write a matrix mult
.. code-block:: none
- Numpy running time: 0.012141
- Baseline: 5.807472
+ Numpy running time: 0.007583
+ Baseline: 3.523260
@@ -206,7 +206,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
.. code-block:: none
- Opt1: 0.153132
+ Opt1: 0.284582
@@ -230,8 +230,8 @@ Here is the generated IR after blocking.
primfn(A_1: handle, B_1: handle, C_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {C: Buffer(C_2: Pointer(float32), float32, [1024, 1024], []),
- B: Buffer(B_2: Pointer(float32), float32, [1024, 1024], []),
+ buffers = {B: Buffer(B_2: Pointer(float32), float32, [1024, 1024], []),
+ C: Buffer(C_2: Pointer(float32), float32, [1024, 1024], []),
A: Buffer(A_2: Pointer(float32), float32, [1024, 1024], [])}
buffer_map = {A_1: A, B_1: B, C_1: C} {
for (x.outer: int32, 0, 32) {
@@ -300,7 +300,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
.. code-block:: none
- Opt2: 0.158593
+ Opt2: 0.320971
@@ -389,7 +389,7 @@ the access pattern for A matrix is more cache friendly.
.. code-block:: none
- Opt3: 0.095577
+ Opt3: 0.111958
@@ -413,8 +413,8 @@ Here is the generated IR after loop permutation.
primfn(A_1: handle, B_1: handle, C_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {C: Buffer(C_2: Pointer(float32), float32, [1024, 1024], []),
- B: Buffer(B_2: Pointer(float32), float32, [1024, 1024], []),
+ buffers = {B: Buffer(B_2: Pointer(float32), float32, [1024, 1024], []),
+ C: Buffer(C_2: Pointer(float32), float32, [1024, 1024], []),
A: Buffer(A_2: Pointer(float32), float32, [1024, 1024], [])}
buffer_map = {A_1: A, B_1: B, C_1: C} {
for (x.outer: int32, 0, 32) {
@@ -499,7 +499,7 @@ the corresponding value from the packed array.
.. code-block:: none
- Opt4: 0.088868
+ Opt4: 0.112205
@@ -609,7 +609,7 @@ write to C when all the block results are ready.
.. code-block:: none
- Opt5: 0.061595
+ Opt5: 0.106798
@@ -725,7 +725,7 @@ Futhermore, we can also utilize multi-core processors to do the thread-level par
.. code-block:: none
- Opt6: 0.021456
+ Opt6: 0.034973
diff --git a/docs/_sources/tutorials/optimize/sg_execution_times.rst.txt b/docs/_sources/tutorials/optimize/sg_execution_times.rst.txt
index 0b84741..1181c06 100644
--- a/docs/_sources/tutorials/optimize/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorials/optimize/sg_execution_times.rst.txt
@@ -5,9 +5,9 @@
Computation times
=================
-**00:29.920** total execution time for **tutorials_optimize** files:
+**00:36.648** total execution time for **tutorials_optimize** files:
-- **00:27.595**: :ref:`sphx_glr_tutorials_optimize_opt_gemm.py` (``opt_gemm.py``)
-- **00:01.085**: :ref:`sphx_glr_tutorials_optimize_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``)
-- **00:01.068**: :ref:`sphx_glr_tutorials_optimize_opt_conv_cuda.py` (``opt_conv_cuda.py``)
-- **00:00.172**: :ref:`sphx_glr_tutorials_optimize_opt_matmul_auto_tensorcore.py` (``opt_matmul_auto_tensorcore.py``)
+- **00:25.505**: :ref:`sphx_glr_tutorials_optimize_opt_gemm.py` (``opt_gemm.py``)
+- **00:06.760**: :ref:`sphx_glr_tutorials_optimize_opt_conv_cuda.py` (``opt_conv_cuda.py``)
+- **00:04.174**: :ref:`sphx_glr_tutorials_optimize_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``)
+- **00:00.209**: :ref:`sphx_glr_tutorials_optimize_opt_matmul_auto_tensorcore.py` (``opt_matmul_auto_tensorcore.py``)
diff --git a/docs/_sources/tutorials/topi/intro_topi.rst.txt b/docs/_sources/tutorials/topi/intro_topi.rst.txt
index 892413d..db913e1 100644
--- a/docs/_sources/tutorials/topi/intro_topi.rst.txt
+++ b/docs/_sources/tutorials/topi/intro_topi.rst.txt
@@ -231,7 +231,7 @@ As you can see, scheduled stages of computation have been accumulated and we can
.. code-block:: none
- [stage(a, placeholder(a, 0x17ac5a100)), stage(b, placeholder(b, 0x17adf8a70)), stage(T_add, compute(T_add, body=[(a[ax0, ax1, ax2] + b[ax1, ax2])], axis=[iter_var(ax0, range(min=0, ext=100)), iter_var(ax1, range(min=0, ext=10)), iter_var(ax2, range(min=0, ext=10))], reduce_axis=[], tag=broadcast, attrs={})), stage(T_multiply, compute(T_multiply, body=[(a[ax0, ax1, ax2]*b[ax1, ax2])], axis=[iter_var(ax0, range(min=0, ext=100)), iter_var(ax1, range(min=0, ext=10)), iter_var(ax2, range( [...]
+ [stage(a, placeholder(a, 0x19240bd60)), stage(b, placeholder(b, 0x192601880)), stage(T_add, compute(T_add, body=[(a[ax0, ax1, ax2] + b[ax1, ax2])], axis=[iter_var(ax0, range(min=0, ext=100)), iter_var(ax1, range(min=0, ext=10)), iter_var(ax2, range(min=0, ext=10))], reduce_axis=[], tag=broadcast, attrs={})), stage(T_multiply, compute(T_multiply, body=[(a[ax0, ax1, ax2]*b[ax1, ax2])], axis=[iter_var(ax0, range(min=0, ext=100)), iter_var(ax1, range(min=0, ext=10)), iter_var(ax2, range( [...]
diff --git a/docs/_sources/tutorials/topi/sg_execution_times.rst.txt b/docs/_sources/tutorials/topi/sg_execution_times.rst.txt
index 28ad70c..c950324 100644
--- a/docs/_sources/tutorials/topi/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorials/topi/sg_execution_times.rst.txt
@@ -5,6 +5,6 @@
Computation times
=================
-**00:00.678** total execution time for **tutorials_topi** files:
+**00:00.637** total execution time for **tutorials_topi** files:
-- **00:00.678**: :ref:`sphx_glr_tutorials_topi_intro_topi.py` (``intro_topi.py``)
+- **00:00.637**: :ref:`sphx_glr_tutorials_topi_intro_topi.py` (``intro_topi.py``)
diff --git a/docs/_sources/vta/tutorials/autotvm/sg_execution_times.rst.txt b/docs/_sources/vta/tutorials/autotvm/sg_execution_times.rst.txt
index 1668065..c6d30bb 100644
--- a/docs/_sources/vta/tutorials/autotvm/sg_execution_times.rst.txt
+++ b/docs/_sources/vta/tutorials/autotvm/sg_execution_times.rst.txt
@@ -5,6 +5,6 @@
Computation times
=================
-**00:08.386** total execution time for **vta_tutorials_autotvm** files:
+**00:07.632** total execution time for **vta_tutorials_autotvm** files:
-- **00:08.386**: :ref:`sphx_glr_vta_tutorials_autotvm_tune_relay_vta.py` (``tune_relay_vta.py``)
+- **00:07.632**: :ref:`sphx_glr_vta_tutorials_autotvm_tune_relay_vta.py` (``tune_relay_vta.py``)
diff --git a/docs/_sources/vta/tutorials/autotvm/tune_relay_vta.rst.txt b/docs/_sources/vta/tutorials/autotvm/tune_relay_vta.rst.txt
index 35ba692..361c6c8 100644
--- a/docs/_sources/vta/tutorials/autotvm/tune_relay_vta.rst.txt
+++ b/docs/_sources/vta/tutorials/autotvm/tune_relay_vta.rst.txt
@@ -497,7 +497,7 @@ Finally, we launch tuning jobs and evaluate the end-to-end performance.
.. code-block:: none
Extract tasks...
-
...1%, 0.01 MB, 39 KB/s, 0 seconds passed
...2%, 0.02 MB, 78 KB/s, 0 seconds passed
...3%, 0.02 MB, 117 KB/s, 0 seconds passed
...4%, 0.03 MB, 156 KB/s, 0 seconds passed
...5%, 0.04 MB, 195 KB/s, 0 seconds passed
...6%, 0.05 MB, 233 KB/s, 0 seconds passed
...7%, 0.05 MB, 272 KB/s, 0 seconds passed
...8%, 0.06 MB, 310 KB/s, 0 seconds passed
...9%, 0.07 MB, 348 KB/s, 0 seconds passed
...10%, 0.08 MB, 387 KB/s, 0 seconds passed
...11%, 0.09 MB, 425 KB/s, 0 seconds passed
...13%, 0.09 MB, 463 KB/s, 0 seconds passed
...14%, 0.10 MB, 501 KB/s, 0 seconds passed
...15%, 0.11 MB, 539 KB/s, 0 seconds passed
...16%, 0.12 MB, 577 KB/s, 0 seconds passed
...17%, 0.12 MB, 615 KB/s, 0 seconds passed
...18%, 0.13 MB, 653 KB/s, 0 seconds passed
...19%, 0.14 MB, 690 KB/s, 0 seconds passed
...20%, 0.15 MB, 728 KB/s, 0 seconds passed
...21%, 0.16 MB, 766 KB/s, 0 seconds passed
...22%, 0.16 MB, 804 KB/s, 0 seconds passed
...23%, 0.17 MB, 841 KB/s, 0 seconds passed
...24%, 0.18 MB, 879 KB/s, 0 seconds passed
...26%, 0.19 MB, 916 KB/s, 0 seconds passed
...27%, 0.20 MB, 953 KB/s, 0 seconds passed
...28%, 0.20 MB, 990 KB/s, 0 seconds passed
...29%, 0.21 MB, 1028 KB/s, 0 seconds passed
...30%, 0.22 MB, 1065 KB/s, 0 seconds passed
...31%, 0.23 MB, 1102 KB/s, 0 seconds passed
...32%, 0.23 MB, 1138 KB/s, 0 seconds passed
...33%, 0.24 MB, 1176 KB/s, 0 seconds passed
...34%, 0.25 MB, 1213 KB/s, 0 seconds passed
...35%, 0.26 MB, 1250 KB/s, 0 seconds passed
...36%, 0.27 MB, 1287 KB/s, 0 seconds passed
...38%, 0.27 MB, 1324 KB/s, 0 seconds passed
...39%, 0.28 MB, 1360 KB/s, 0 seconds passed
...40%, 0.29 MB, 1397 KB/s, 0 seconds passed
...41%, 0.30 MB, 1434 KB/s, 0 seconds passed
...42%, 0.30 MB, 1471 KB/s, 0 seconds passed
...43%, 0.31 MB, 1507 KB/s, 0 seconds passed
...44%, 0.32 MB, 1544 KB/s, 0 seconds passed
...45%, 0.33 MB,
1580 KB/s, 0 seconds passed
...46%, 0.34 MB, 1617 KB/s, 0 seconds passed
...47%, 0.34 MB, 1653 KB/s, 0 seconds passed
...48%, 0.35 MB, 1689 KB/s, 0 seconds passed
...49%, 0.36 MB, 1724 KB/s, 0 seconds passed
...51%, 0.37 MB, 1761 KB/s, 0 seconds passed
...52%, 0.38 MB, 1797 KB/s, 0 seconds passed
...53%, 0.38 MB, 1833 KB/s, 0 seconds passed
...54%, 0.39 MB, 1869 KB/s, 0 seconds passed
...55%, 0.40 MB, 1905 KB/s, 0 seconds passed
...56%, 0.41 MB, 1941 KB/s, 0 seconds passed
...57%, 0.41 MB, 1977 KB/s, 0 seconds passed
...58%, 0.42 MB, 2012 KB/s, 0 seconds passed
...59%, 0.43 MB, 2048 KB/s, 0 seconds passed
...60%, 0.44 MB, 2084 KB/s, 0 seconds passed
...61%, 0.45 MB, 2120 KB/s, 0 seconds passed
...63%, 0.45 MB, 2155 KB/s, 0 seconds passed
...64%, 0.46 MB, 2191 KB/s, 0 seconds passed
...65%, 0.47 MB, 2227 KB/s, 0 seconds passed
...66%, 0.48 MB, 2261 KB/s, 0 seconds passed
...67%, 0.48 MB, 2296 KB/s, 0 seco
nds passed
...68%, 0.49 MB, 2331 KB/s, 0 seconds passed
...69%, 0.50 MB, 2367 KB/s, 0 seconds passed
...70%, 0.51 MB, 2402 KB/s, 0 seconds passed
...71%, 0.52 MB, 2437 KB/s, 0 seconds passed
...72%, 0.52 MB, 2472 KB/s, 0 seconds passed
...73%, 0.53 MB, 2507 KB/s, 0 seconds passed
...74%, 0.54 MB, 2542 KB/s, 0 seconds passed
...76%, 0.55 MB, 2577 KB/s, 0 seconds passed
...77%, 0.55 MB, 2612 KB/s, 0 seconds passed
...78%, 0.56 MB, 2647 KB/s, 0 seconds passed
...79%, 0.57 MB, 2682 KB/s, 0 seconds passed
...80%, 0.58 MB, 2717 KB/s, 0 seconds passed
...81%, 0.59 MB, 2752 KB/s, 0 seconds passed
...82%, 0.59 MB, 2787 KB/s, 0 seconds passed
...83%, 0.60 MB, 2821 KB/s, 0 seconds passed
...84%, 0.61 MB, 2855 KB/s, 0 seconds passed
...85%, 0.62 MB, 2890 KB/s, 0 seconds passed
...86%, 0.62 MB, 2924 KB/s, 0 seconds passed
...87%, 0.63 MB, 2959 KB/s, 0 seconds passed
...89%, 0.64 MB, 2993 KB/s, 0 seconds passed
..
.90%, 0.65 MB, 3028 KB/s, 0 seconds passed
...91%, 0.66 MB, 3062 KB/s, 0 seconds passed
...92%, 0.66 MB, 3096 KB/s, 0 seconds passed
...93%, 0.67 MB, 3131 KB/s, 0 seconds passed
...94%, 0.68 MB, 3165 KB/s, 0 seconds passed
...95%, 0.69 MB, 3199 KB/s, 0 seconds passed
...96%, 0.70 MB, 3233 KB/s, 0 seconds passed
...97%, 0.70 MB, 3268 KB/s, 0 seconds passed
...98%, 0.71 MB, 3302 KB/s, 0 seconds passed
...99%, 0.72 MB, 3336 KB/s, 0 seconds passed
...100%, 0.73 MB, 3369 KB/s, 0 seconds passed
+
...1%, 0.01 MB, 45 KB/s, 0 seconds passed
...2%, 0.02 MB, 90 KB/s, 0 seconds passed
...3%, 0.02 MB, 134 KB/s, 0 seconds passed
...4%, 0.03 MB, 179 KB/s, 0 seconds passed
...5%, 0.04 MB, 217 KB/s, 0 seconds passed
...6%, 0.05 MB, 260 KB/s, 0 seconds passed
...7%, 0.05 MB, 303 KB/s, 0 seconds passed
...8%, 0.06 MB, 346 KB/s, 0 seconds passed
...9%, 0.07 MB, 390 KB/s, 0 seconds passed
...10%, 0.08 MB, 431 KB/s, 0 seconds passed
...11%, 0.09 MB, 474 KB/s, 0 seconds passed
...13%, 0.09 MB, 515 KB/s, 0 seconds passed
...14%, 0.10 MB, 558 KB/s, 0 seconds passed
...15%, 0.11 MB, 589 KB/s, 0 seconds passed
...16%, 0.12 MB, 630 KB/s, 0 seconds passed
...17%, 0.12 MB, 671 KB/s, 0 seconds passed
...18%, 0.13 MB, 713 KB/s, 0 seconds passed
...19%, 0.14 MB, 754 KB/s, 0 seconds passed
...20%, 0.15 MB, 793 KB/s, 0 seconds passed
...21%, 0.16 MB, 834 KB/s, 0 seconds passed
...22%, 0.16 MB, 875 KB/s, 0 seconds passed
...23%, 0.17 MB, 917 KB/s, 0 seconds passed
...24%, 0.18 MB, 955 KB/s, 0 seconds passed
...26%, 0.19 MB, 995 KB/s, 0 seconds passed
...27%, 0.20 MB, 1036 KB/s, 0 seconds passed
...28%, 0.20 MB, 1077 KB/s, 0 seconds passed
...29%, 0.21 MB, 1118 KB/s, 0 seconds passed
...30%, 0.22 MB, 1156 KB/s, 0 seconds passed
...31%, 0.23 MB, 1196 KB/s, 0 seconds passed
...32%, 0.23 MB, 1237 KB/s, 0 seconds passed
...33%, 0.24 MB, 1278 KB/s, 0 seconds passed
...34%, 0.25 MB, 1316 KB/s, 0 seconds passed
...35%, 0.26 MB, 1341 KB/s, 0 seconds passed
...36%, 0.27 MB, 1379 KB/s, 0 seconds passed
...38%, 0.27 MB, 1419 KB/s, 0 seconds passed
...39%, 0.28 MB, 1458 KB/s, 0 seconds passed
...40%, 0.29 MB, 1498 KB/s, 0 seconds passed
...41%, 0.30 MB, 1538 KB/s, 0 seconds passed
...42%, 0.30 MB, 1578 KB/s, 0 seconds passed
...43%, 0.31 MB, 1614 KB/s, 0 seconds passed
...44%, 0.32 MB, 1654 KB/s, 0 seconds passed
...45%, 0.33 MB
, 1692 KB/s, 0 seconds passed
...46%, 0.34 MB, 1732 KB/s, 0 seconds passed
...47%, 0.34 MB, 1771 KB/s, 0 seconds passed
...48%, 0.35 MB, 1811 KB/s, 0 seconds passed
...49%, 0.36 MB, 1850 KB/s, 0 seconds passed
...51%, 0.37 MB, 1885 KB/s, 0 seconds passed
...52%, 0.38 MB, 1923 KB/s, 0 seconds passed
...53%, 0.38 MB, 1962 KB/s, 0 seconds passed
...54%, 0.39 MB, 2002 KB/s, 0 seconds passed
...55%, 0.40 MB, 2041 KB/s, 0 seconds passed
...56%, 0.41 MB, 2080 KB/s, 0 seconds passed
...57%, 0.41 MB, 2119 KB/s, 0 seconds passed
...58%, 0.42 MB, 2157 KB/s, 0 seconds passed
...59%, 0.43 MB, 2195 KB/s, 0 seconds passed
...60%, 0.44 MB, 2234 KB/s, 0 seconds passed
...61%, 0.45 MB, 2273 KB/s, 0 seconds passed
...63%, 0.45 MB, 2312 KB/s, 0 seconds passed
...64%, 0.46 MB, 2350 KB/s, 0 seconds passed
...65%, 0.47 MB, 2389 KB/s, 0 seconds passed
...66%, 0.48 MB, 2427 KB/s, 0 seconds passed
...67%, 0.48 MB, 2465 KB/s, 0 se
conds passed
...68%, 0.49 MB, 2477 KB/s, 0 seconds passed
...69%, 0.50 MB, 2515 KB/s, 0 seconds passed
...70%, 0.51 MB, 2554 KB/s, 0 seconds passed
...71%, 0.52 MB, 2592 KB/s, 0 seconds passed
...72%, 0.52 MB, 2629 KB/s, 0 seconds passed
...73%, 0.53 MB, 2666 KB/s, 0 seconds passed
...74%, 0.54 MB, 2704 KB/s, 0 seconds passed
...76%, 0.55 MB, 2742 KB/s, 0 seconds passed
...77%, 0.55 MB, 2773 KB/s, 0 seconds passed
...78%, 0.56 MB, 2810 KB/s, 0 seconds passed
...79%, 0.57 MB, 2848 KB/s, 0 seconds passed
...80%, 0.58 MB, 2886 KB/s, 0 seconds passed
...81%, 0.59 MB, 2923 KB/s, 0 seconds passed
...82%, 0.59 MB, 2960 KB/s, 0 seconds passed
...83%, 0.60 MB, 2997 KB/s, 0 seconds passed
...84%, 0.61 MB, 3027 KB/s, 0 seconds passed
...85%, 0.62 MB, 3065 KB/s, 0 seconds passed
...86%, 0.62 MB, 3102 KB/s, 0 seconds passed
...87%, 0.63 MB, 3138 KB/s, 0 seconds passed
...89%, 0.64 MB, 3175 KB/s, 0 seconds passed
...90%, 0.65 MB, 3213 KB/s, 0 seconds passed
...91%, 0.66 MB, 3250 KB/s, 0 seconds passed
...92%, 0.66 MB, 3287 KB/s, 0 seconds passed
...93%, 0.67 MB, 3320 KB/s, 0 seconds passed
...94%, 0.68 MB, 3357 KB/s, 0 seconds passed
...95%, 0.69 MB, 3394 KB/s, 0 seconds passed
...96%, 0.70 MB, 3431 KB/s, 0 seconds passed
...97%, 0.70 MB, 3468 KB/s, 0 seconds passed
...98%, 0.71 MB, 3505 KB/s, 0 seconds passed
...99%, 0.72 MB, 3537 KB/s, 0 seconds passed
...100%, 0.73 MB, 3572 KB/s, 0 seconds passed
Extracted 10 conv2d tasks:
(1, 14, 14, 256, 512, 1, 1, 0, 0, 2, 2)
(1, 28, 28, 128, 256, 1, 1, 0, 0, 2, 2)
diff --git a/docs/_sources/vta/tutorials/frontend/deploy_classification.rst.txt b/docs/_sources/vta/tutorials/frontend/deploy_classification.rst.txt
index 195dc13..39372d7 100644
--- a/docs/_sources/vta/tutorials/frontend/deploy_classification.rst.txt
+++ b/docs/_sources/vta/tutorials/frontend/deploy_classification.rst.txt
@@ -243,8 +243,8 @@ The compilation steps are:
.. code-block:: none
-
...12%, 0.01 MB, 35 KB/s, 0 seconds passed
...25%, 0.02 MB, 70 KB/s, 0 seconds passed
...38%, 0.02 MB, 105 KB/s, 0 seconds passed
...51%, 0.03 MB, 140 KB/s, 0 seconds passed
...64%, 0.04 MB, 175 KB/s, 0 seconds passed
...77%, 0.05 MB, 210 KB/s, 0 seconds passed
...89%, 0.05 MB, 245 KB/s, 0 seconds passed
...100%, 0.06 MB, 280 KB/s, 0 seconds passed
- resnet18_v1 inference graph built in 9.87s!
+
...12%, 0.01 MB, 40 KB/s, 0 seconds passed
...25%, 0.02 MB, 80 KB/s, 0 seconds passed
...38%, 0.02 MB, 119 KB/s, 0 seconds passed
...51%, 0.03 MB, 159 KB/s, 0 seconds passed
...64%, 0.04 MB, 193 KB/s, 0 seconds passed
...77%, 0.05 MB, 231 KB/s, 0 seconds passed
...89%, 0.05 MB, 269 KB/s, 0 seconds passed
...100%, 0.06 MB, 308 KB/s, 0 seconds passed
+ resnet18_v1 inference graph built in 8.30s!
diff --git a/docs/_sources/vta/tutorials/frontend/sg_execution_times.rst.txt b/docs/_sources/vta/tutorials/frontend/sg_execution_times.rst.txt
index 370bf4d..302ecb7 100644
--- a/docs/_sources/vta/tutorials/frontend/sg_execution_times.rst.txt
+++ b/docs/_sources/vta/tutorials/frontend/sg_execution_times.rst.txt
@@ -5,6 +5,6 @@
Computation times
=================
-**00:34.487** total execution time for **vta_tutorials_frontend** files:
+**00:29.417** total execution time for **vta_tutorials_frontend** files:
-- **00:34.487**: :ref:`sphx_glr_vta_tutorials_frontend_deploy_classification.py` (``deploy_classification.py``)
+- **00:29.417**: :ref:`sphx_glr_vta_tutorials_frontend_deploy_classification.py` (``deploy_classification.py``)
diff --git a/docs/_sources/vta/tutorials/matrix_multiply.rst.txt b/docs/_sources/vta/tutorials/matrix_multiply.rst.txt
index aa5bdcc..4331499 100644
--- a/docs/_sources/vta/tutorials/matrix_multiply.rst.txt
+++ b/docs/_sources/vta/tutorials/matrix_multiply.rst.txt
@@ -535,8 +535,8 @@ by the VTA runtime JIT compiler.
primfn(A_1: handle, B_1: handle, C_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {C: Buffer(C_2: Pointer(int8), int8, [1, 16, 1, 16], []),
- B: Buffer(B_2: Pointer(int8), int8, [16, 16, 16, 16], []),
+ buffers = {B: Buffer(B_2: Pointer(int8), int8, [16, 16, 16, 16], []),
+ C: Buffer(C_2: Pointer(int8), int8, [1, 16, 1, 16], []),
A: Buffer(A_2: Pointer(int8), int8, [1, 16, 1, 16], [])}
buffer_map = {A_1: A, B_1: B, C_1: C} {
attr [C_buf: Pointer(int32)] "storage_scope" = "local.acc_buffer";
diff --git a/docs/_sources/vta/tutorials/optimize/sg_execution_times.rst.txt b/docs/_sources/vta/tutorials/optimize/sg_execution_times.rst.txt
index a056bb3..2380f5a 100644
--- a/docs/_sources/vta/tutorials/optimize/sg_execution_times.rst.txt
+++ b/docs/_sources/vta/tutorials/optimize/sg_execution_times.rst.txt
@@ -5,7 +5,7 @@
Computation times
=================
-**00:04.658** total execution time for **vta_tutorials_optimize** files:
+**00:03.707** total execution time for **vta_tutorials_optimize** files:
-- **00:03.936**: :ref:`sphx_glr_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)
-- **00:00.722**: :ref:`sphx_glr_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``)
+- **00:03.183**: :ref:`sphx_glr_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)
+- **00:00.524**: :ref:`sphx_glr_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``)
diff --git a/docs/_sources/vta/tutorials/sg_execution_times.rst.txt b/docs/_sources/vta/tutorials/sg_execution_times.rst.txt
index 1841fa6..9cc5026 100644
--- a/docs/_sources/vta/tutorials/sg_execution_times.rst.txt
+++ b/docs/_sources/vta/tutorials/sg_execution_times.rst.txt
@@ -5,7 +5,7 @@
Computation times
=================
-**00:00.845** total execution time for **vta_tutorials** files:
+**00:00.980** total execution time for **vta_tutorials** files:
-- **00:00.451**: :ref:`sphx_glr_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``)
-- **00:00.394**: :ref:`sphx_glr_vta_tutorials_vta_get_started.py` (``vta_get_started.py``)
+- **00:00.491**: :ref:`sphx_glr_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``)
+- **00:00.489**: :ref:`sphx_glr_vta_tutorials_vta_get_started.py` (``vta_get_started.py``)
diff --git a/docs/_sources/vta/tutorials/vta_get_started.rst.txt b/docs/_sources/vta/tutorials/vta_get_started.rst.txt
index ec845bc..b90d68a 100644
--- a/docs/_sources/vta/tutorials/vta_get_started.rst.txt
+++ b/docs/_sources/vta/tutorials/vta_get_started.rst.txt
@@ -423,8 +423,8 @@ with an :code:`env.alu` pragma.
primfn(A_1: handle, B_1: handle, C_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {C: Buffer(C_2: Pointer(int8), int8, [1, 64, 1, 16], []),
- B: Buffer(B_2: Pointer(int32), int32, [1, 64, 1, 16], []),
+ buffers = {B: Buffer(B_2: Pointer(int32), int32, [1, 64, 1, 16], []),
+ C: Buffer(C_2: Pointer(int8), int8, [1, 64, 1, 16], []),
A: Buffer(A_2: Pointer(int32), int32, [1, 64, 1, 16], [])}
buffer_map = {A_1: A, B_1: B, C_1: C} {
attr [A_buf: Pointer(int32)] "storage_scope" = "local.acc_buffer" {
diff --git a/docs/api/doxygen/annotated.html b/docs/api/doxygen/annotated.html
index 5c2cf44..7654691 100644
--- a/docs/api/doxygen/annotated.html
+++ b/docs/api/doxygen/annotated.html
@@ -267,201 +267,203 @@ var searchBox = new SearchBox("searchBox", "search",false,'Search');
<tr id="row_1_4_9_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ArgsortAttrs.html" target="_self">ArgsortAttrs</a></td><td class="desc">Attributes used in argsort operators </td></tr>
<tr id="row_1_4_10_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1AttrPattern.html" target="_self">AttrPattern</a></td><td class="desc">A pattern which matches attributes in another pattern </td></tr>
<tr id="row_1_4_11_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1AttrPatternNode.html" target="_self">AttrPatternNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Pattern.html" title="Pattern is the base type for an ADT match pattern in Relay. ">Pattern</a> for Attributes </td></tr>
-<tr id="row_1_4_12_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1AvgPool1DAttrs.html" target="_self">AvgPool1DAttrs</a></td><td class="desc">Attributes for 1D avg pool operator </td></tr>
-<tr id="row_1_4_13_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1AvgPool2DAttrs.html" target="_self">AvgPool2DAttrs</a></td><td class="desc">Attributes for avg pool operator </td></tr>
-<tr id="row_1_4_14_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1AvgPool3DAttrs.html" target="_self">AvgPool3DAttrs</a></td><td class="desc">Attributes for 3D avg pool operator </td></tr>
-<tr id="row_1_4_15_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1BatchNormAttrs.html" target="_self">BatchNormAttrs</a></td><td class="desc">Attributes used in batch_norm operator </td></tr>
-<tr id="row_1_4_16_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1BatchToSpaceNDAttrs.html" target="_self">BatchToSpaceNDAttrs</a></td><td class="desc">Attributes used in BatchToSpaceND operator </td></tr>
-<tr id="row_1_4_17_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1BiasAddAttrs.html" target="_self">BiasAddAttrs</a></td><td class="desc">Add a 1D Tensor to an axis of a data </td></tr>
-<tr id="row_1_4_18_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1BinaryConv2DAttrs.html" target="_self">BinaryConv2DAttrs</a></td><td class="desc">Attribues used in bitserial convolution operators </td></tr>
-<tr id="row_1_4_19_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1BinaryDenseAttrs.html" target="_self">BinaryDenseAttrs</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_20_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1BitPackAttrs.html" target="_self">BitPackAttrs</a></td><td class="desc">Attributes used in bitpack operators </td></tr>
-<tr id="row_1_4_21_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Call.html" target="_self">Call</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_22_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1CallNode.html" target="_self">CallNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Call.html">Call</a> container </td></tr>
-<tr id="row_1_4_23_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1CallPattern.html" target="_self">CallPattern</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_24_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1CallPatternNode.html" target="_self">CallPatternNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1CallPattern.html">CallPattern</a> container </td></tr>
-<tr id="row_1_4_25_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1CastAttrs.html" target="_self">CastAttrs</a></td><td class="desc">Data type cast </td></tr>
-<tr id="row_1_4_26_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1CastHintAttrs.html" target="_self">CastHintAttrs</a></td><td class="desc">Annotate an expression to be cast into specific data type </td></tr>
-<tr id="row_1_4_27_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Clause.html" target="_self">Clause</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_28_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ClauseNode.html" target="_self">ClauseNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Clause.html">Clause</a> container node </td></tr>
-<tr id="row_1_4_29_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ClipAttrs.html" target="_self">ClipAttrs</a></td><td class="desc">Attributes for Clip operator </td></tr>
-<tr id="row_1_4_30_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1CompilerAttrs.html" target="_self">CompilerAttrs</a></td><td class="desc">Options for the operators used to annotate a compiler </td></tr>
-<tr id="row_1_4_31_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ConcatenateAttrs.html" target="_self">ConcatenateAttrs</a></td><td class="desc">Attributes used in concatenate operators </td></tr>
-<tr id="row_1_4_32_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Constant.html" target="_self">Constant</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_33_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ConstantNode.html" target="_self">ConstantNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Constant.html">Constant</a> tensor type </td></tr>
-<tr id="row_1_4_34_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ConstantPattern.html" target="_self">ConstantPattern</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_35_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ConstantPatternNode.html" target="_self">ConstantPatternNode</a></td><td class="desc">Container for <a class="el" href="classtvm_1_1relay_1_1Constant.html">Constant</a> </td></tr>
-<tr id="row_1_4_36_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ConstructorValue.html" target="_self">ConstructorValue</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_37_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ConstructorValueObj.html" target="_self">ConstructorValueObj</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_38_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv1DAttrs.html" target="_self">Conv1DAttrs</a></td><td class="desc">Attributes used in 1D convolution operators </td></tr>
-<tr id="row_1_4_39_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv1DTransposeAttrs.html" target="_self">Conv1DTransposeAttrs</a></td><td class="desc">Attributes used in 1D transposed convolution operator </td></tr>
-<tr id="row_1_4_40_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv2DAttrs.html" target="_self">Conv2DAttrs</a></td><td class="desc">Attributes used in convolution operators </td></tr>
-<tr id="row_1_4_41_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv2DTransposeAttrs.html" target="_self">Conv2DTransposeAttrs</a></td><td class="desc">Attributes used in transposed convolution operator </td></tr>
-<tr id="row_1_4_42_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv2DWinogradAttrs.html" target="_self">Conv2DWinogradAttrs</a></td><td class="desc">Attributes used in convolution operators with winograd algorithm </td></tr>
-<tr id="row_1_4_43_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv2DWinogradNNPACKWeightTransformAttrs.html" target="_self">Conv2DWinogradNNPACKWeightTransformAttrs</a></td><td class="desc">Attributes used in winograd weight transformation operators </td></tr>
-<tr id="row_1_4_44_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv3DAttrs.html" target="_self">Conv3DAttrs</a></td><td class="desc">Attributes used in convolution operators </td></tr>
-<tr id="row_1_4_45_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv3DTransposeAttrs.html" target="_self">Conv3DTransposeAttrs</a></td><td class="desc">Attributes used in transposed convolution operator </td></tr>
-<tr id="row_1_4_46_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv3DWinogradAttrs.html" target="_self">Conv3DWinogradAttrs</a></td><td class="desc">Attributes used in 3d winograd convolution operators </td></tr>
-<tr id="row_1_4_47_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ConvGemmWeightTransformAttrs.html" target="_self">ConvGemmWeightTransformAttrs</a></td><td class="desc">Attributes used in gemm weight transformation operators </td></tr>
-<tr id="row_1_4_48_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ConvWinogradWeightTransformAttrs.html" target="_self">ConvWinogradWeightTransformAttrs</a></td><td class="desc">Attributes used in winograd weight transformation operators </td></tr>
-<tr id="row_1_4_49_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1CorrelationAttrs.html" target="_self">CorrelationAttrs</a></td><td class="desc">Attributes used in correlation operators </td></tr>
-<tr id="row_1_4_50_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1CropAndResizeAttrs.html" target="_self">CropAndResizeAttrs</a></td><td class="desc">Attributes used in image crop_and_resize operator </td></tr>
-<tr id="row_1_4_51_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DataTypePattern.html" target="_self">DataTypePattern</a></td><td class="desc">A pattern which matches a type in another pattern </td></tr>
-<tr id="row_1_4_52_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DataTypePatternNode.html" target="_self">DataTypePatternNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Pattern.html" title="Pattern is the base type for an ADT match pattern in Relay. ">Pattern</a> for Types </td></tr>
-<tr id="row_1_4_53_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1DebugAttrs.html" target="_self">DebugAttrs</a></td><td class="desc">Options for the debug operators </td></tr>
-<tr id="row_1_4_54_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1DeformableConv2DAttrs.html" target="_self">DeformableConv2DAttrs</a></td><td class="desc">Attributes for DeformableConv2D operator </td></tr>
-<tr id="row_1_4_55_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1DenseAttrs.html" target="_self">DenseAttrs</a></td><td class="desc">Attributes for dense operator </td></tr>
-<tr id="row_1_4_56_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1DeviceCopyAttrs.html" target="_self">DeviceCopyAttrs</a></td><td class="desc">Options for the device copy operators </td></tr>
-<tr id="row_1_4_57_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DFPattern.html" target="_self">DFPattern</a></td><td class="desc">Managed reference to dataflow patterns </td></tr>
-<tr id="row_1_4_58_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DFPatternCallback.html" target="_self">DFPatternCallback</a></td><td class="desc">Managed reference to dataflow pattern callbacks </td></tr>
-<tr id="row_1_4_59_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DFPatternCallbackNode.html" target="_self">DFPatternCallbackNode</a></td><td class="desc">Base type of all dataflow pattern callbacks </td></tr>
-<tr id="row_1_4_60_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DFPatternFunctor.html" target="_self">DFPatternFunctor</a></td><td class="desc">A dynamical functor that dispatches on in the first <a class="el" href="classtvm_1_1relay_1_1DFPattern.html" title="Managed reference to dataflow patterns. ">DFPattern</a> argument </ [...]
-<tr id="row_1_4_61_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DFPatternFunctor_3_01R_07const_01DFPattern_01_6n_00_01Args_8_8_8_08_4.html" target="_self">DFPatternFunctor< R(const DFPattern &n, Args...)></a></td><td class="desc"></td></tr>
-<tr id="row_1_4_62_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DFPatternNode.html" target="_self">DFPatternNode</a></td><td class="desc">Base type of all dataflow patterns </td></tr>
-<tr id="row_1_4_63_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DFPatternVisitor.html" target="_self">DFPatternVisitor</a></td><td class="desc">A simple visitor wrapper around <a class="el" href="classtvm_1_1relay_1_1DFPatternFunctor.html" title="A dynamical functor that dispatches on in the first DFPattern argument. ">DFPatt [...]
-<tr id="row_1_4_64_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1DilateAttrs.html" target="_self">DilateAttrs</a></td><td class="desc">Attributes used in dilate operator </td></tr>
-<tr id="row_1_4_65_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Dilation2DAttrs.html" target="_self">Dilation2DAttrs</a></td><td class="desc">Attributes used in dilation operators </td></tr>
-<tr id="row_1_4_66_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DominatorPattern.html" target="_self">DominatorPattern</a></td><td class="desc">A pattern which matches a variable length dominator path </td></tr>
-<tr id="row_1_4_67_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DominatorPatternNode.html" target="_self">DominatorPatternNode</a></td><td class="desc">Dominated Graph <a class="el" href="classtvm_1_1relay_1_1Pattern.html" title="Pattern is the base type for an ADT match pattern in Relay. ">Pattern</a> <a class="el" href="cla [...]
-<tr id="row_1_4_68_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1DropoutAttrs.html" target="_self">DropoutAttrs</a></td><td class="desc">Attributes used in dropout operator </td></tr>
-<tr id="row_1_4_69_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ExpandDimsAttrs.html" target="_self">ExpandDimsAttrs</a></td><td class="desc">Attributes used in expand_dims operators </td></tr>
-<tr id="row_1_4_70_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ExprFunctor.html" target="_self">ExprFunctor</a></td><td class="desc">A dynamical functor that dispatches on in the first Expr argument. You can use this as a more powerful Visitor, since it allows you to define function signatures of Visit <a class="el" href="cl [...]
-<tr id="row_1_4_71_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ExprFunctor_3_01R_07const_01Expr_01_6n_00_01Args_8_8_8_08_4.html" target="_self">ExprFunctor< R(const Expr &n, Args...)></a></td><td class="desc"></td></tr>
-<tr id="row_1_4_72_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ExprMutator.html" target="_self">ExprMutator</a></td><td class="desc">A wrapper around <a class="el" href="classtvm_1_1relay_1_1ExprFunctor.html" title="A dynamical functor that dispatches on in the first Expr argument. You can use this as a more powerfu...">Expr [...]
-<tr id="row_1_4_73_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ExprPattern.html" target="_self">ExprPattern</a></td><td class="desc">A pattern which matches a literal expression </td></tr>
-<tr id="row_1_4_74_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ExprPatternNode.html" target="_self">ExprPatternNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Pattern.html" title="Pattern is the base type for an ADT match pattern in Relay. ">Pattern</a> for Relay Expression </td></tr>
-<tr id="row_1_4_75_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ExprRewriter.html" target="_self">ExprRewriter</a></td><td class="desc">A non-iterating Expression Rewriter </td></tr>
-<tr id="row_1_4_76_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ExprVisitor.html" target="_self">ExprVisitor</a></td><td class="desc">A simple visitor wrapper around <a class="el" href="classtvm_1_1relay_1_1ExprFunctor.html" title="A dynamical functor that dispatches on in the first Expr argument. You can use this as a more p [...]
-<tr id="row_1_4_77_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1FeatureSet.html" target="_self">FeatureSet</a></td><td class="desc">A finite set of Feature </td></tr>
-<tr id="row_1_4_78_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1FIFOBufferAttrs.html" target="_self">FIFOBufferAttrs</a></td><td class="desc">Attributes for FIFO buffer operator </td></tr>
-<tr id="row_1_4_79_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1FixedPointMultiplyAttrs.html" target="_self">FixedPointMultiplyAttrs</a></td><td class="desc">Attributes for FixedPointMultiply operator </td></tr>
-<tr id="row_1_4_80_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Function.html" target="_self">Function</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1relay_1_1FunctionNode.html" title="Relay Function container. ">FunctionNode</a> </td></tr>
-<tr id="row_1_4_81_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1FunctionNode.html" target="_self">FunctionNode</a></td><td class="desc">Relay <a class="el" href="classtvm_1_1relay_1_1Function.html" title="Managed reference to FunctionNode. ">Function</a> container </td></tr>
-<tr id="row_1_4_82_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1GatherAttrs.html" target="_self">GatherAttrs</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_83_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1GetValidCountsAttrs.html" target="_self">GetValidCountsAttrs</a></td><td class="desc">Attributes used in get_valid_counts operator </td></tr>
-<tr id="row_1_4_84_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1GlobalPool2DAttrs.html" target="_self">GlobalPool2DAttrs</a></td><td class="desc">Attributes for global pool operator </td></tr>
-<tr id="row_1_4_85_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1GridSampleAttrs.html" target="_self">GridSampleAttrs</a></td><td class="desc">Attributes used in image grid_sample operator </td></tr>
-<tr id="row_1_4_86_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1GroupNormAttrs.html" target="_self">GroupNormAttrs</a></td><td class="desc">Attributes used in group_norm operator </td></tr>
-<tr id="row_1_4_87_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Id.html" target="_self">Id</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_88_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1IdNode.html" target="_self">IdNode</a></td><td class="desc">The unique identifier of variables </td></tr>
-<tr id="row_1_4_89_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1If.html" target="_self">If</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_90_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1IfNode.html" target="_self">IfNode</a></td><td class="desc">Container of <a class="el" href="classtvm_1_1relay_1_1If.html">If</a> </td></tr>
-<tr id="row_1_4_91_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1InitOpAttrs.html" target="_self">InitOpAttrs</a></td><td class="desc">Attributes that specify a tensor </td></tr>
-<tr id="row_1_4_92_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1InstanceNormAttrs.html" target="_self">InstanceNormAttrs</a></td><td class="desc">Attributes used in instance_norm operator </td></tr>
-<tr id="row_1_4_93_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1InterpreterClosure.html" target="_self">InterpreterClosure</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_94_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1InterpreterClosureObj.html" target="_self">InterpreterClosureObj</a></td><td class="desc">The container type of Closures used by the interpreter </td></tr>
-<tr id="row_1_4_95_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1L2NormalizeAttrs.html" target="_self">L2NormalizeAttrs</a></td><td class="desc">Attributes for L2Normalize operator </td></tr>
-<tr id="row_1_4_96_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1LayerNormAttrs.html" target="_self">LayerNormAttrs</a></td><td class="desc">Attributes used in layer_norm operator </td></tr>
-<tr id="row_1_4_97_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1LayoutTransformAttrs.html" target="_self">LayoutTransformAttrs</a></td><td class="desc">Attributes for LayoutTransform operator </td></tr>
-<tr id="row_1_4_98_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1LeakyReluAttrs.html" target="_self">LeakyReluAttrs</a></td><td class="desc">Attributes for leaky relu operator </td></tr>
-<tr id="row_1_4_99_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Let.html" target="_self">Let</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_100_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1LetNode.html" target="_self">LetNode</a></td><td class="desc">A binding of a sub-network </td></tr>
-<tr id="row_1_4_101_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1LRNAttrs.html" target="_self">LRNAttrs</a></td><td class="desc">Attributes for LRN operator </td></tr>
-<tr id="row_1_4_102_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Match.html" target="_self">Match</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_103_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1MatchNode.html" target="_self">MatchNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Match.html">Match</a> container node </td></tr>
-<tr id="row_1_4_104_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1MatrixSetDiagAttrs.html" target="_self">MatrixSetDiagAttrs</a></td><td class="desc">Attributes used in matrix_set_diag operator </td></tr>
-<tr id="row_1_4_105_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1MaxPool1DAttrs.html" target="_self">MaxPool1DAttrs</a></td><td class="desc">Attributes for 1D max pool operator </td></tr>
-<tr id="row_1_4_106_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1MaxPool2DAttrs.html" target="_self">MaxPool2DAttrs</a></td><td class="desc">Attributes for max pool operator </td></tr>
-<tr id="row_1_4_107_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1MaxPool3DAttrs.html" target="_self">MaxPool3DAttrs</a></td><td class="desc">Attributes for 3D max pool operator </td></tr>
-<tr id="row_1_4_108_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1MeshgridAttrs.html" target="_self">MeshgridAttrs</a></td><td class="desc">Attributes used in meshgrid operators </td></tr>
-<tr id="row_1_4_109_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1MirrorPadAttrs.html" target="_self">MirrorPadAttrs</a></td><td class="desc">Attributes used for the MirrorPadding operator </td></tr>
-<tr id="row_1_4_110_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1MixedModeMutator.html" target="_self">MixedModeMutator</a></td><td class="desc">Non-recursive DFS Graph Traversal for Custom Rewriting Passes </td></tr>
-<tr id="row_1_4_111_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1MixedModeVisitor.html" target="_self">MixedModeVisitor</a></td><td class="desc">A wrapper around <a class="el" href="classtvm_1_1relay_1_1ExprVisitor.html" title="A simple visitor wrapper around ExprFunctor. Recursively visit the content. ">ExprVisitor</a> which [...]
-<tr id="row_1_4_112_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1MultiBoxPriorAttrs.html" target="_self">MultiBoxPriorAttrs</a></td><td class="desc">Attributes used in multibox_prior operators </td></tr>
-<tr id="row_1_4_113_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1MultiBoxTransformLocAttrs.html" target="_self">MultiBoxTransformLocAttrs</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_114_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1NdarraySizeAttrs.html" target="_self">NdarraySizeAttrs</a></td><td class="desc">Attributes for ndarray_size operator </td></tr>
-<tr id="row_1_4_115_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1NonMaximumSuppressionAttrs.html" target="_self">NonMaximumSuppressionAttrs</a></td><td class="desc">Attributes used in non_maximum_suppression operator </td></tr>
-<tr id="row_1_4_116_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1OnDeviceAttrs.html" target="_self">OnDeviceAttrs</a></td><td class="desc">Options for the device annotation operators </td></tr>
-<tr id="row_1_4_117_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1OneHotAttrs.html" target="_self">OneHotAttrs</a></td><td class="desc">Attributes used in one-hot operator </td></tr>
-<tr id="row_1_4_118_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1OpImplementation.html" target="_self">OpImplementation</a></td><td class="desc">Operator implementation class </td></tr>
-<tr id="row_1_4_119_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1OpImplementationNode.html" target="_self">OpImplementationNode</a></td><td class="desc">Operator implementation that includes compute and schedule function </td></tr>
-<tr id="row_1_4_120_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1OpSpecialization.html" target="_self">OpSpecialization</a></td><td class="desc">Operator specialization class </td></tr>
-<tr id="row_1_4_121_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1OpSpecializationNode.html" target="_self">OpSpecializationNode</a></td><td class="desc">Specialized implementations for operators under certain conditions </td></tr>
-<tr id="row_1_4_122_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1OpStrategy.html" target="_self">OpStrategy</a></td><td class="desc">Operator strategy class </td></tr>
-<tr id="row_1_4_123_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1OpStrategyNode.html" target="_self">OpStrategyNode</a></td><td class="desc">Operator strategy to choose implementation </td></tr>
-<tr id="row_1_4_124_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1PadAttrs.html" target="_self">PadAttrs</a></td><td class="desc">Attributes used for the padding operator </td></tr>
-<tr id="row_1_4_125_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Pattern.html" target="_self">Pattern</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Pattern.html" title="Pattern is the base type for an ADT match pattern in Relay. ">Pattern</a> is the base type for an ADT match pattern in Relay </td></tr>
-<tr id="row_1_4_126_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternConstructor.html" target="_self">PatternConstructor</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_127_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternConstructorNode.html" target="_self">PatternConstructorNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1PatternVar.html">PatternVar</a> container node </td></tr>
-<tr id="row_1_4_128_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternFunctor.html" target="_self">PatternFunctor</a></td><td class="desc">A dynamical functor on ADT patterns that dispatches on its first argument. You can use this as a more powerful visitor, since it allows you to define the types of further arguments to Vi [...]
-<tr id="row_1_4_129_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternFunctor_3_01R_07const_01Pattern_01_6n_00_01Args_8_8_8_08_4.html" target="_self">PatternFunctor< R(const Pattern &n, Args...)></a></td><td class="desc"></td></tr>
-<tr id="row_1_4_130_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternMutator.html" target="_self">PatternMutator</a></td><td class="desc">A wrapper around <a class="el" href="classtvm_1_1relay_1_1ExprFunctor.html" title="A dynamical functor that dispatches on in the first Expr argument. You can use this as a more powerfu.. [...]
-<tr id="row_1_4_131_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternNode.html" target="_self">PatternNode</a></td><td class="desc">Base type for declaring relay pattern </td></tr>
-<tr id="row_1_4_132_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternTuple.html" target="_self">PatternTuple</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_133_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternTupleNode.html" target="_self">PatternTupleNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1PatternVar.html">PatternVar</a> container node </td></tr>
-<tr id="row_1_4_134_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternVar.html" target="_self">PatternVar</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_135_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternVarNode.html" target="_self">PatternVarNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1PatternVar.html">PatternVar</a> container node </td></tr>
-<tr id="row_1_4_136_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternVisitor.html" target="_self">PatternVisitor</a></td><td class="desc">A simple visitor wrapper around <a class="el" href="classtvm_1_1relay_1_1PatternFunctor.html" title="A dynamical functor on ADT patterns that dispatches on its first argument. You can us [...]
-<tr id="row_1_4_137_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternWildcard.html" target="_self">PatternWildcard</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_138_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternWildcardNode.html" target="_self">PatternWildcardNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1PatternWildcard.html">PatternWildcard</a> container node </td></tr>
-<tr id="row_1_4_139_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1PReluAttrs.html" target="_self">PReluAttrs</a></td><td class="desc">Attributes for prelu operator </td></tr>
-<tr id="row_1_4_140_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ProposalAttrs.html" target="_self">ProposalAttrs</a></td><td class="desc">Attributes used in proposal operators </td></tr>
-<tr id="row_1_4_141_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RecClosure.html" target="_self">RecClosure</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_142_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RecClosureObj.html" target="_self">RecClosureObj</a></td><td class="desc">The container type of <a class="el" href="classtvm_1_1relay_1_1RecClosure.html">RecClosure</a> </td></tr>
-<tr id="row_1_4_143_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ReduceAttrs.html" target="_self">ReduceAttrs</a></td><td class="desc">Attributes for Reduce operators </td></tr>
-<tr id="row_1_4_144_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RefCreate.html" target="_self">RefCreate</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_145_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RefCreateNode.html" target="_self">RefCreateNode</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_146_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RefRead.html" target="_self">RefRead</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_147_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RefReadNode.html" target="_self">RefReadNode</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_148_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RefValue.html" target="_self">RefValue</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_149_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1RefValueObj.html" target="_self">RefValueObj</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_150_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RefWrite.html" target="_self">RefWrite</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_151_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RefWriteNode.html" target="_self">RefWriteNode</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_152_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RelayNode.html" target="_self">RelayNode</a></td><td class="desc">This is the base node container of all relay structures </td></tr>
-<tr id="row_1_4_153_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1RepeatAttrs.html" target="_self">RepeatAttrs</a></td><td class="desc">Attributes used in repeat operators </td></tr>
-<tr id="row_1_4_154_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ReshapeAttrs.html" target="_self">ReshapeAttrs</a></td><td class="desc">Attributes used in reshape operators </td></tr>
-<tr id="row_1_4_155_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ReshapeLikeAttrs.html" target="_self">ReshapeLikeAttrs</a></td><td class="desc">Attributes used in MXNet-style reshape_like operators </td></tr>
-<tr id="row_1_4_156_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ReshapeTensorAttrs.html" target="_self">ReshapeTensorAttrs</a></td><td class="desc">Attributes for VM reshape_tensor operator </td></tr>
-<tr id="row_1_4_157_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Resize3dAttrs.html" target="_self">Resize3dAttrs</a></td><td class="desc">Attributes used in image resize3d operator </td></tr>
-<tr id="row_1_4_158_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ResizeAttrs.html" target="_self">ResizeAttrs</a></td><td class="desc">Attributes used in image resize operator </td></tr>
-<tr id="row_1_4_159_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ReverseAttrs.html" target="_self">ReverseAttrs</a></td><td class="desc">Attributes used in reverse operators </td></tr>
-<tr id="row_1_4_160_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ReverseSequenceAttrs.html" target="_self">ReverseSequenceAttrs</a></td><td class="desc">Attributes used in reverse_sequence operators </td></tr>
-<tr id="row_1_4_161_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ROIAlignAttrs.html" target="_self">ROIAlignAttrs</a></td><td class="desc">Attributes used in roi_align operators </td></tr>
-<tr id="row_1_4_162_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ROIPoolAttrs.html" target="_self">ROIPoolAttrs</a></td><td class="desc">Attributes used in roi_pool operators </td></tr>
-<tr id="row_1_4_163_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ScatterAddAttrs.html" target="_self">ScatterAddAttrs</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_164_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ScatterAttrs.html" target="_self">ScatterAttrs</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_165_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SequenceMaskAttrs.html" target="_self">SequenceMaskAttrs</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_166_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ShapeFuncAttrs.html" target="_self">ShapeFuncAttrs</a></td><td class="desc">Options for the shape function operator </td></tr>
-<tr id="row_1_4_167_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ShapeOfAttrs.html" target="_self">ShapeOfAttrs</a></td><td class="desc">Attributes for ShapeOf operator </td></tr>
-<tr id="row_1_4_168_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ShapePattern.html" target="_self">ShapePattern</a></td><td class="desc">A pattern which matches a type in another pattern </td></tr>
-<tr id="row_1_4_169_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ShapePatternNode.html" target="_self">ShapePatternNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Pattern.html" title="Pattern is the base type for an ADT match pattern in Relay. ">Pattern</a> for Shapes </td></tr>
-<tr id="row_1_4_170_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SliceLikeAttrs.html" target="_self">SliceLikeAttrs</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_171_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SoftmaxAttrs.html" target="_self">SoftmaxAttrs</a></td><td class="desc">Attributes used in softmax operators </td></tr>
-<tr id="row_1_4_172_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SpaceToBatchNDAttrs.html" target="_self">SpaceToBatchNDAttrs</a></td><td class="desc">Attributes used in SpaceToBatchND operator </td></tr>
-<tr id="row_1_4_173_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SparseDenseAttrs.html" target="_self">SparseDenseAttrs</a></td><td class="desc">Attributes for sparse_dense operator </td></tr>
-<tr id="row_1_4_174_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SparseToDenseAttrs.html" target="_self">SparseToDenseAttrs</a></td><td class="desc">Attributes used in sparse_to_dense operator </td></tr>
-<tr id="row_1_4_175_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SparseTransposeAttrs.html" target="_self">SparseTransposeAttrs</a></td><td class="desc">Attributes for sparse_transpose operator </td></tr>
-<tr id="row_1_4_176_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SplitAttrs.html" target="_self">SplitAttrs</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_177_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SqueezeAttrs.html" target="_self">SqueezeAttrs</a></td><td class="desc">Attributes used in squeeze operators </td></tr>
-<tr id="row_1_4_178_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1StackAttrs.html" target="_self">StackAttrs</a></td><td class="desc">Attributes used in stack operators </td></tr>
-<tr id="row_1_4_179_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1StridedSliceAttrs.html" target="_self">StridedSliceAttrs</a></td><td class="desc">Attributes for StridedSlice operator </td></tr>
-<tr id="row_1_4_180_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SubPixelAttrs.html" target="_self">SubPixelAttrs</a></td><td class="desc">Attributes used in subpixel operators </td></tr>
-<tr id="row_1_4_181_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1TakeAttrs.html" target="_self">TakeAttrs</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_182_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TempExpr.html" target="_self">TempExpr</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_183_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TempExprNode.html" target="_self">TempExprNode</a></td><td class="desc">Base class of the temporary expression </td></tr>
-<tr id="row_1_4_184_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1TileAttrs.html" target="_self">TileAttrs</a></td><td class="desc">Attributes used in tile operators </td></tr>
-<tr id="row_1_4_185_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1TopKAttrs.html" target="_self">TopKAttrs</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_186_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1TransposeAttrs.html" target="_self">TransposeAttrs</a></td><td class="desc">Attributes used in transpose operators </td></tr>
-<tr id="row_1_4_187_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Tuple.html" target="_self">Tuple</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_188_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TupleGetItem.html" target="_self">TupleGetItem</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_189_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TupleGetItemNode.html" target="_self">TupleGetItemNode</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_190_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TupleGetItemPattern.html" target="_self">TupleGetItemPattern</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_191_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TupleGetItemPatternNode.html" target="_self">TupleGetItemPatternNode</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_192_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TupleNode.html" target="_self">TupleNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Tuple.html">Tuple</a> container </td></tr>
-<tr id="row_1_4_193_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TuplePattern.html" target="_self">TuplePattern</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_194_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TuplePatternNode.html" target="_self">TuplePatternNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Tuple.html">Tuple</a> container </td></tr>
-<tr id="row_1_4_195_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TypePattern.html" target="_self">TypePattern</a></td><td class="desc">A pattern which matches a type in another pattern </td></tr>
-<tr id="row_1_4_196_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TypePatternNode.html" target="_self">TypePatternNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Pattern.html" title="Pattern is the base type for an ADT match pattern in Relay. ">Pattern</a> for Types </td></tr>
-<tr id="row_1_4_197_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1UpSampling3DAttrs.html" target="_self">UpSampling3DAttrs</a></td><td class="desc">Attributes for upsampling3d operator </td></tr>
-<tr id="row_1_4_198_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1UpSamplingAttrs.html" target="_self">UpSamplingAttrs</a></td><td class="desc">Attributes for upsampling operator </td></tr>
-<tr id="row_1_4_199_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Var.html" target="_self">Var</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_200_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1VarianceAttrs.html" target="_self">VarianceAttrs</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_201_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1VarNode.html" target="_self">VarNode</a></td><td class="desc">Container for <a class="el" href="classtvm_1_1relay_1_1Var.html">Var</a> </td></tr>
-<tr id="row_1_4_202_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1VarPattern.html" target="_self">VarPattern</a></td><td class="desc"></td></tr>
-<tr id="row_1_4_203_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1VarPatternNode.html" target="_self">VarPatternNode</a></td><td class="desc">Container for <a class="el" href="classtvm_1_1relay_1_1Var.html">Var</a> </td></tr>
-<tr id="row_1_4_204_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1WildcardPattern.html" target="_self">WildcardPattern</a></td><td class="desc">A pattern which matches anything </td></tr>
-<tr id="row_1_4_205_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1WildcardPatternNode.html" target="_self">WildcardPatternNode</a></td><td class="desc">Wildcard <a class="el" href="classtvm_1_1relay_1_1Pattern.html" title="Pattern is the base type for an ADT match pattern in Relay. ">Pattern</a> </td></tr>
-<tr id="row_1_4_206_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1YoloReorgAttrs.html" target="_self">YoloReorgAttrs</a></td><td class="desc">Attributes used in yolo reorg operators </td></tr>
+<tr id="row_1_4_12_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1AutoSchedulerLayoutTransformAttrs.html" target="_self">AutoSchedulerLayoutTransformAttrs</a></td><td class="desc">Attributes for AutoSchedulerLayoutTransform operator </td></tr>
+<tr id="row_1_4_13_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1AvgPool1DAttrs.html" target="_self">AvgPool1DAttrs</a></td><td class="desc">Attributes for 1D avg pool operator </td></tr>
+<tr id="row_1_4_14_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1AvgPool2DAttrs.html" target="_self">AvgPool2DAttrs</a></td><td class="desc">Attributes for avg pool operator </td></tr>
+<tr id="row_1_4_15_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1AvgPool3DAttrs.html" target="_self">AvgPool3DAttrs</a></td><td class="desc">Attributes for 3D avg pool operator </td></tr>
+<tr id="row_1_4_16_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1BatchNormAttrs.html" target="_self">BatchNormAttrs</a></td><td class="desc">Attributes used in batch_norm operator </td></tr>
+<tr id="row_1_4_17_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1BatchToSpaceNDAttrs.html" target="_self">BatchToSpaceNDAttrs</a></td><td class="desc">Attributes used in BatchToSpaceND operator </td></tr>
+<tr id="row_1_4_18_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1BiasAddAttrs.html" target="_self">BiasAddAttrs</a></td><td class="desc">Add a 1D Tensor to an axis of a data </td></tr>
+<tr id="row_1_4_19_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1BinaryConv2DAttrs.html" target="_self">BinaryConv2DAttrs</a></td><td class="desc">Attribues used in bitserial convolution operators </td></tr>
+<tr id="row_1_4_20_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1BinaryDenseAttrs.html" target="_self">BinaryDenseAttrs</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_21_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1BitPackAttrs.html" target="_self">BitPackAttrs</a></td><td class="desc">Attributes used in bitpack operators </td></tr>
+<tr id="row_1_4_22_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Call.html" target="_self">Call</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_23_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1CallNode.html" target="_self">CallNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Call.html">Call</a> container </td></tr>
+<tr id="row_1_4_24_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1CallPattern.html" target="_self">CallPattern</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_25_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1CallPatternNode.html" target="_self">CallPatternNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1CallPattern.html">CallPattern</a> container </td></tr>
+<tr id="row_1_4_26_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1CastAttrs.html" target="_self">CastAttrs</a></td><td class="desc">Data type cast </td></tr>
+<tr id="row_1_4_27_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1CastHintAttrs.html" target="_self">CastHintAttrs</a></td><td class="desc">Annotate an expression to be cast into specific data type </td></tr>
+<tr id="row_1_4_28_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Clause.html" target="_self">Clause</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_29_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ClauseNode.html" target="_self">ClauseNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Clause.html">Clause</a> container node </td></tr>
+<tr id="row_1_4_30_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ClipAttrs.html" target="_self">ClipAttrs</a></td><td class="desc">Attributes for Clip operator </td></tr>
+<tr id="row_1_4_31_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1CompilerAttrs.html" target="_self">CompilerAttrs</a></td><td class="desc">Options for the operators used to annotate a compiler </td></tr>
+<tr id="row_1_4_32_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ConcatenateAttrs.html" target="_self">ConcatenateAttrs</a></td><td class="desc">Attributes used in concatenate operators </td></tr>
+<tr id="row_1_4_33_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Constant.html" target="_self">Constant</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_34_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ConstantNode.html" target="_self">ConstantNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Constant.html">Constant</a> tensor type </td></tr>
+<tr id="row_1_4_35_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ConstantPattern.html" target="_self">ConstantPattern</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_36_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ConstantPatternNode.html" target="_self">ConstantPatternNode</a></td><td class="desc">Container for <a class="el" href="classtvm_1_1relay_1_1Constant.html">Constant</a> </td></tr>
+<tr id="row_1_4_37_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ConstructorValue.html" target="_self">ConstructorValue</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_38_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ConstructorValueObj.html" target="_self">ConstructorValueObj</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_39_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv1DAttrs.html" target="_self">Conv1DAttrs</a></td><td class="desc">Attributes used in 1D convolution operators </td></tr>
+<tr id="row_1_4_40_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv1DTransposeAttrs.html" target="_self">Conv1DTransposeAttrs</a></td><td class="desc">Attributes used in 1D transposed convolution operator </td></tr>
+<tr id="row_1_4_41_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv2DAttrs.html" target="_self">Conv2DAttrs</a></td><td class="desc">Attributes used in convolution operators </td></tr>
+<tr id="row_1_4_42_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv2DTransposeAttrs.html" target="_self">Conv2DTransposeAttrs</a></td><td class="desc">Attributes used in transposed convolution operator </td></tr>
+<tr id="row_1_4_43_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv2DWinogradAttrs.html" target="_self">Conv2DWinogradAttrs</a></td><td class="desc">Attributes used in convolution operators with winograd algorithm </td></tr>
+<tr id="row_1_4_44_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv2DWinogradNNPACKWeightTransformAttrs.html" target="_self">Conv2DWinogradNNPACKWeightTransformAttrs</a></td><td class="desc">Attributes used in winograd weight transformation operators </td></tr>
+<tr id="row_1_4_45_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv3DAttrs.html" target="_self">Conv3DAttrs</a></td><td class="desc">Attributes used in convolution operators </td></tr>
+<tr id="row_1_4_46_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv3DTransposeAttrs.html" target="_self">Conv3DTransposeAttrs</a></td><td class="desc">Attributes used in transposed convolution operator </td></tr>
+<tr id="row_1_4_47_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Conv3DWinogradAttrs.html" target="_self">Conv3DWinogradAttrs</a></td><td class="desc">Attributes used in 3d winograd convolution operators </td></tr>
+<tr id="row_1_4_48_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ConvGemmWeightTransformAttrs.html" target="_self">ConvGemmWeightTransformAttrs</a></td><td class="desc">Attributes used in gemm weight transformation operators </td></tr>
+<tr id="row_1_4_49_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ConvWinogradWeightTransformAttrs.html" target="_self">ConvWinogradWeightTransformAttrs</a></td><td class="desc">Attributes used in winograd weight transformation operators </td></tr>
+<tr id="row_1_4_50_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1CorrelationAttrs.html" target="_self">CorrelationAttrs</a></td><td class="desc">Attributes used in correlation operators </td></tr>
+<tr id="row_1_4_51_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1CropAndResizeAttrs.html" target="_self">CropAndResizeAttrs</a></td><td class="desc">Attributes used in image crop_and_resize operator </td></tr>
+<tr id="row_1_4_52_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DataTypePattern.html" target="_self">DataTypePattern</a></td><td class="desc">A pattern which matches a type in another pattern </td></tr>
+<tr id="row_1_4_53_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DataTypePatternNode.html" target="_self">DataTypePatternNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Pattern.html" title="Pattern is the base type for an ADT match pattern in Relay. ">Pattern</a> for Types </td></tr>
+<tr id="row_1_4_54_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1DebugAttrs.html" target="_self">DebugAttrs</a></td><td class="desc">Options for the debug operators </td></tr>
+<tr id="row_1_4_55_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1DeformableConv2DAttrs.html" target="_self">DeformableConv2DAttrs</a></td><td class="desc">Attributes for DeformableConv2D operator </td></tr>
+<tr id="row_1_4_56_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1DenseAttrs.html" target="_self">DenseAttrs</a></td><td class="desc">Attributes for dense operator </td></tr>
+<tr id="row_1_4_57_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1DeviceCopyAttrs.html" target="_self">DeviceCopyAttrs</a></td><td class="desc">Options for the device copy operators </td></tr>
+<tr id="row_1_4_58_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DFPattern.html" target="_self">DFPattern</a></td><td class="desc">Managed reference to dataflow patterns </td></tr>
+<tr id="row_1_4_59_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DFPatternCallback.html" target="_self">DFPatternCallback</a></td><td class="desc">Managed reference to dataflow pattern callbacks </td></tr>
+<tr id="row_1_4_60_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DFPatternCallbackNode.html" target="_self">DFPatternCallbackNode</a></td><td class="desc">Base type of all dataflow pattern callbacks </td></tr>
+<tr id="row_1_4_61_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DFPatternFunctor.html" target="_self">DFPatternFunctor</a></td><td class="desc">A dynamical functor that dispatches on in the first <a class="el" href="classtvm_1_1relay_1_1DFPattern.html" title="Managed reference to dataflow patterns. ">DFPattern</a> argument </ [...]
+<tr id="row_1_4_62_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DFPatternFunctor_3_01R_07const_01DFPattern_01_6n_00_01Args_8_8_8_08_4.html" target="_self">DFPatternFunctor< R(const DFPattern &n, Args...)></a></td><td class="desc"></td></tr>
+<tr id="row_1_4_63_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DFPatternNode.html" target="_self">DFPatternNode</a></td><td class="desc">Base type of all dataflow patterns </td></tr>
+<tr id="row_1_4_64_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DFPatternVisitor.html" target="_self">DFPatternVisitor</a></td><td class="desc">A simple visitor wrapper around <a class="el" href="classtvm_1_1relay_1_1DFPatternFunctor.html" title="A dynamical functor that dispatches on in the first DFPattern argument. ">DFPatt [...]
+<tr id="row_1_4_65_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1DilateAttrs.html" target="_self">DilateAttrs</a></td><td class="desc">Attributes used in dilate operator </td></tr>
+<tr id="row_1_4_66_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Dilation2DAttrs.html" target="_self">Dilation2DAttrs</a></td><td class="desc">Attributes used in dilation operators </td></tr>
+<tr id="row_1_4_67_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DominatorPattern.html" target="_self">DominatorPattern</a></td><td class="desc">A pattern which matches a variable length dominator path </td></tr>
+<tr id="row_1_4_68_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1DominatorPatternNode.html" target="_self">DominatorPatternNode</a></td><td class="desc">Dominated Graph <a class="el" href="classtvm_1_1relay_1_1Pattern.html" title="Pattern is the base type for an ADT match pattern in Relay. ">Pattern</a> <a class="el" href="cla [...]
+<tr id="row_1_4_69_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1DropoutAttrs.html" target="_self">DropoutAttrs</a></td><td class="desc">Attributes used in dropout operator </td></tr>
+<tr id="row_1_4_70_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ExpandDimsAttrs.html" target="_self">ExpandDimsAttrs</a></td><td class="desc">Attributes used in expand_dims operators </td></tr>
+<tr id="row_1_4_71_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ExprFunctor.html" target="_self">ExprFunctor</a></td><td class="desc">A dynamical functor that dispatches on in the first Expr argument. You can use this as a more powerful Visitor, since it allows you to define function signatures of Visit <a class="el" href="cl [...]
+<tr id="row_1_4_72_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ExprFunctor_3_01R_07const_01Expr_01_6n_00_01Args_8_8_8_08_4.html" target="_self">ExprFunctor< R(const Expr &n, Args...)></a></td><td class="desc"></td></tr>
+<tr id="row_1_4_73_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ExprMutator.html" target="_self">ExprMutator</a></td><td class="desc">A wrapper around <a class="el" href="classtvm_1_1relay_1_1ExprFunctor.html" title="A dynamical functor that dispatches on in the first Expr argument. You can use this as a more powerfu...">Expr [...]
+<tr id="row_1_4_74_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ExprPattern.html" target="_self">ExprPattern</a></td><td class="desc">A pattern which matches a literal expression </td></tr>
+<tr id="row_1_4_75_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ExprPatternNode.html" target="_self">ExprPatternNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Pattern.html" title="Pattern is the base type for an ADT match pattern in Relay. ">Pattern</a> for Relay Expression </td></tr>
+<tr id="row_1_4_76_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ExprRewriter.html" target="_self">ExprRewriter</a></td><td class="desc">A non-iterating Expression Rewriter </td></tr>
+<tr id="row_1_4_77_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ExprVisitor.html" target="_self">ExprVisitor</a></td><td class="desc">A simple visitor wrapper around <a class="el" href="classtvm_1_1relay_1_1ExprFunctor.html" title="A dynamical functor that dispatches on in the first Expr argument. You can use this as a more p [...]
+<tr id="row_1_4_78_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1FeatureSet.html" target="_self">FeatureSet</a></td><td class="desc">A finite set of Feature </td></tr>
+<tr id="row_1_4_79_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1FIFOBufferAttrs.html" target="_self">FIFOBufferAttrs</a></td><td class="desc">Attributes for FIFO buffer operator </td></tr>
+<tr id="row_1_4_80_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1FixedPointMultiplyAttrs.html" target="_self">FixedPointMultiplyAttrs</a></td><td class="desc">Attributes for FixedPointMultiply operator </td></tr>
+<tr id="row_1_4_81_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Function.html" target="_self">Function</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1relay_1_1FunctionNode.html" title="Relay Function container. ">FunctionNode</a> </td></tr>
+<tr id="row_1_4_82_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1FunctionNode.html" target="_self">FunctionNode</a></td><td class="desc">Relay <a class="el" href="classtvm_1_1relay_1_1Function.html" title="Managed reference to FunctionNode. ">Function</a> container </td></tr>
+<tr id="row_1_4_83_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1GatherAttrs.html" target="_self">GatherAttrs</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_84_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1GetValidCountsAttrs.html" target="_self">GetValidCountsAttrs</a></td><td class="desc">Attributes used in get_valid_counts operator </td></tr>
+<tr id="row_1_4_85_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1GlobalPool2DAttrs.html" target="_self">GlobalPool2DAttrs</a></td><td class="desc">Attributes for global pool operator </td></tr>
+<tr id="row_1_4_86_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1GridSampleAttrs.html" target="_self">GridSampleAttrs</a></td><td class="desc">Attributes used in image grid_sample operator </td></tr>
+<tr id="row_1_4_87_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1GroupNormAttrs.html" target="_self">GroupNormAttrs</a></td><td class="desc">Attributes used in group_norm operator </td></tr>
+<tr id="row_1_4_88_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Id.html" target="_self">Id</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_89_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1IdNode.html" target="_self">IdNode</a></td><td class="desc">The unique identifier of variables </td></tr>
+<tr id="row_1_4_90_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1If.html" target="_self">If</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_91_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1IfNode.html" target="_self">IfNode</a></td><td class="desc">Container of <a class="el" href="classtvm_1_1relay_1_1If.html">If</a> </td></tr>
+<tr id="row_1_4_92_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1InitOpAttrs.html" target="_self">InitOpAttrs</a></td><td class="desc">Attributes that specify a tensor </td></tr>
+<tr id="row_1_4_93_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1InstanceNormAttrs.html" target="_self">InstanceNormAttrs</a></td><td class="desc">Attributes used in instance_norm operator </td></tr>
+<tr id="row_1_4_94_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1InterpreterClosure.html" target="_self">InterpreterClosure</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_95_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1InterpreterClosureObj.html" target="_self">InterpreterClosureObj</a></td><td class="desc">The container type of Closures used by the interpreter </td></tr>
+<tr id="row_1_4_96_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1L2NormalizeAttrs.html" target="_self">L2NormalizeAttrs</a></td><td class="desc">Attributes for L2Normalize operator </td></tr>
+<tr id="row_1_4_97_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1LayerNormAttrs.html" target="_self">LayerNormAttrs</a></td><td class="desc">Attributes used in layer_norm operator </td></tr>
+<tr id="row_1_4_98_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1LayoutTransformAttrs.html" target="_self">LayoutTransformAttrs</a></td><td class="desc">Attributes for LayoutTransform operator </td></tr>
+<tr id="row_1_4_99_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1LeakyReluAttrs.html" target="_self">LeakyReluAttrs</a></td><td class="desc">Attributes for leaky relu operator </td></tr>
+<tr id="row_1_4_100_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Let.html" target="_self">Let</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_101_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1LetNode.html" target="_self">LetNode</a></td><td class="desc">A binding of a sub-network </td></tr>
+<tr id="row_1_4_102_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1LRNAttrs.html" target="_self">LRNAttrs</a></td><td class="desc">Attributes for LRN operator </td></tr>
+<tr id="row_1_4_103_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Match.html" target="_self">Match</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_104_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1MatchNode.html" target="_self">MatchNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Match.html">Match</a> container node </td></tr>
+<tr id="row_1_4_105_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1MatrixSetDiagAttrs.html" target="_self">MatrixSetDiagAttrs</a></td><td class="desc">Attributes used in matrix_set_diag operator </td></tr>
+<tr id="row_1_4_106_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1MaxPool1DAttrs.html" target="_self">MaxPool1DAttrs</a></td><td class="desc">Attributes for 1D max pool operator </td></tr>
+<tr id="row_1_4_107_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1MaxPool2DAttrs.html" target="_self">MaxPool2DAttrs</a></td><td class="desc">Attributes for max pool operator </td></tr>
+<tr id="row_1_4_108_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1MaxPool3DAttrs.html" target="_self">MaxPool3DAttrs</a></td><td class="desc">Attributes for 3D max pool operator </td></tr>
+<tr id="row_1_4_109_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1MeshgridAttrs.html" target="_self">MeshgridAttrs</a></td><td class="desc">Attributes used in meshgrid operators </td></tr>
+<tr id="row_1_4_110_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1MirrorPadAttrs.html" target="_self">MirrorPadAttrs</a></td><td class="desc">Attributes used for the MirrorPadding operator </td></tr>
+<tr id="row_1_4_111_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1MixedModeMutator.html" target="_self">MixedModeMutator</a></td><td class="desc">Non-recursive DFS Graph Traversal for Custom Rewriting Passes </td></tr>
+<tr id="row_1_4_112_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1MixedModeVisitor.html" target="_self">MixedModeVisitor</a></td><td class="desc">A wrapper around <a class="el" href="classtvm_1_1relay_1_1ExprVisitor.html" title="A simple visitor wrapper around ExprFunctor. Recursively visit the content. ">ExprVisitor</a> which [...]
+<tr id="row_1_4_113_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1MultiBoxPriorAttrs.html" target="_self">MultiBoxPriorAttrs</a></td><td class="desc">Attributes used in multibox_prior operators </td></tr>
+<tr id="row_1_4_114_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1MultiBoxTransformLocAttrs.html" target="_self">MultiBoxTransformLocAttrs</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_115_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1NdarraySizeAttrs.html" target="_self">NdarraySizeAttrs</a></td><td class="desc">Attributes for ndarray_size operator </td></tr>
+<tr id="row_1_4_116_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1NonMaximumSuppressionAttrs.html" target="_self">NonMaximumSuppressionAttrs</a></td><td class="desc">Attributes used in non_maximum_suppression operator </td></tr>
+<tr id="row_1_4_117_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1OnDeviceAttrs.html" target="_self">OnDeviceAttrs</a></td><td class="desc">Options for the device annotation operators </td></tr>
+<tr id="row_1_4_118_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1OneHotAttrs.html" target="_self">OneHotAttrs</a></td><td class="desc">Attributes used in one-hot operator </td></tr>
+<tr id="row_1_4_119_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1OpImplementation.html" target="_self">OpImplementation</a></td><td class="desc">Operator implementation class </td></tr>
+<tr id="row_1_4_120_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1OpImplementationNode.html" target="_self">OpImplementationNode</a></td><td class="desc">Operator implementation that includes compute and schedule function </td></tr>
+<tr id="row_1_4_121_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1OpSpecialization.html" target="_self">OpSpecialization</a></td><td class="desc">Operator specialization class </td></tr>
+<tr id="row_1_4_122_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1OpSpecializationNode.html" target="_self">OpSpecializationNode</a></td><td class="desc">Specialized implementations for operators under certain conditions </td></tr>
+<tr id="row_1_4_123_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1OpStrategy.html" target="_self">OpStrategy</a></td><td class="desc">Operator strategy class </td></tr>
+<tr id="row_1_4_124_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1OpStrategyNode.html" target="_self">OpStrategyNode</a></td><td class="desc">Operator strategy to choose implementation </td></tr>
+<tr id="row_1_4_125_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1PadAttrs.html" target="_self">PadAttrs</a></td><td class="desc">Attributes used for the padding operator </td></tr>
+<tr id="row_1_4_126_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Pattern.html" target="_self">Pattern</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Pattern.html" title="Pattern is the base type for an ADT match pattern in Relay. ">Pattern</a> is the base type for an ADT match pattern in Relay </td></tr>
+<tr id="row_1_4_127_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternConstructor.html" target="_self">PatternConstructor</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_128_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternConstructorNode.html" target="_self">PatternConstructorNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1PatternVar.html">PatternVar</a> container node </td></tr>
+<tr id="row_1_4_129_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternFunctor.html" target="_self">PatternFunctor</a></td><td class="desc">A dynamical functor on ADT patterns that dispatches on its first argument. You can use this as a more powerful visitor, since it allows you to define the types of further arguments to Vi [...]
+<tr id="row_1_4_130_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternFunctor_3_01R_07const_01Pattern_01_6n_00_01Args_8_8_8_08_4.html" target="_self">PatternFunctor< R(const Pattern &n, Args...)></a></td><td class="desc"></td></tr>
+<tr id="row_1_4_131_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternMutator.html" target="_self">PatternMutator</a></td><td class="desc">A wrapper around <a class="el" href="classtvm_1_1relay_1_1ExprFunctor.html" title="A dynamical functor that dispatches on in the first Expr argument. You can use this as a more powerfu.. [...]
+<tr id="row_1_4_132_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternNode.html" target="_self">PatternNode</a></td><td class="desc">Base type for declaring relay pattern </td></tr>
+<tr id="row_1_4_133_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternTuple.html" target="_self">PatternTuple</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_134_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternTupleNode.html" target="_self">PatternTupleNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1PatternVar.html">PatternVar</a> container node </td></tr>
+<tr id="row_1_4_135_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternVar.html" target="_self">PatternVar</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_136_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternVarNode.html" target="_self">PatternVarNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1PatternVar.html">PatternVar</a> container node </td></tr>
+<tr id="row_1_4_137_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternVisitor.html" target="_self">PatternVisitor</a></td><td class="desc">A simple visitor wrapper around <a class="el" href="classtvm_1_1relay_1_1PatternFunctor.html" title="A dynamical functor on ADT patterns that dispatches on its first argument. You can us [...]
+<tr id="row_1_4_138_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternWildcard.html" target="_self">PatternWildcard</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_139_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1PatternWildcardNode.html" target="_self">PatternWildcardNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1PatternWildcard.html">PatternWildcard</a> container node </td></tr>
+<tr id="row_1_4_140_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1PReluAttrs.html" target="_self">PReluAttrs</a></td><td class="desc">Attributes for prelu operator </td></tr>
+<tr id="row_1_4_141_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ProposalAttrs.html" target="_self">ProposalAttrs</a></td><td class="desc">Attributes used in proposal operators </td></tr>
+<tr id="row_1_4_142_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RecClosure.html" target="_self">RecClosure</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_143_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RecClosureObj.html" target="_self">RecClosureObj</a></td><td class="desc">The container type of <a class="el" href="classtvm_1_1relay_1_1RecClosure.html">RecClosure</a> </td></tr>
+<tr id="row_1_4_144_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ReduceAttrs.html" target="_self">ReduceAttrs</a></td><td class="desc">Attributes for Reduce operators </td></tr>
+<tr id="row_1_4_145_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RefCreate.html" target="_self">RefCreate</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_146_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RefCreateNode.html" target="_self">RefCreateNode</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_147_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RefRead.html" target="_self">RefRead</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_148_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RefReadNode.html" target="_self">RefReadNode</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_149_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RefValue.html" target="_self">RefValue</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_150_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1RefValueObj.html" target="_self">RefValueObj</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_151_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RefWrite.html" target="_self">RefWrite</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_152_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RefWriteNode.html" target="_self">RefWriteNode</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_153_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1RelayNode.html" target="_self">RelayNode</a></td><td class="desc">This is the base node container of all relay structures </td></tr>
+<tr id="row_1_4_154_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1RepeatAttrs.html" target="_self">RepeatAttrs</a></td><td class="desc">Attributes used in repeat operators </td></tr>
+<tr id="row_1_4_155_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ReshapeAttrs.html" target="_self">ReshapeAttrs</a></td><td class="desc">Attributes used in reshape operators </td></tr>
+<tr id="row_1_4_156_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ReshapeLikeAttrs.html" target="_self">ReshapeLikeAttrs</a></td><td class="desc">Attributes used in MXNet-style reshape_like operators </td></tr>
+<tr id="row_1_4_157_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ReshapeTensorAttrs.html" target="_self">ReshapeTensorAttrs</a></td><td class="desc">Attributes for VM reshape_tensor operator </td></tr>
+<tr id="row_1_4_158_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1Resize3dAttrs.html" target="_self">Resize3dAttrs</a></td><td class="desc">Attributes used in image resize3d operator </td></tr>
+<tr id="row_1_4_159_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ResizeAttrs.html" target="_self">ResizeAttrs</a></td><td class="desc">Attributes used in image resize operator </td></tr>
+<tr id="row_1_4_160_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ReverseAttrs.html" target="_self">ReverseAttrs</a></td><td class="desc">Attributes used in reverse operators </td></tr>
+<tr id="row_1_4_161_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ReverseSequenceAttrs.html" target="_self">ReverseSequenceAttrs</a></td><td class="desc">Attributes used in reverse_sequence operators </td></tr>
+<tr id="row_1_4_162_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ROIAlignAttrs.html" target="_self">ROIAlignAttrs</a></td><td class="desc">Attributes used in roi_align operators </td></tr>
+<tr id="row_1_4_163_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ROIPoolAttrs.html" target="_self">ROIPoolAttrs</a></td><td class="desc">Attributes used in roi_pool operators </td></tr>
+<tr id="row_1_4_164_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ScatterAddAttrs.html" target="_self">ScatterAddAttrs</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_165_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ScatterAttrs.html" target="_self">ScatterAttrs</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_166_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ScatterNDAttrs.html" target="_self">ScatterNDAttrs</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_167_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SequenceMaskAttrs.html" target="_self">SequenceMaskAttrs</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_168_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ShapeFuncAttrs.html" target="_self">ShapeFuncAttrs</a></td><td class="desc">Options for the shape function operator </td></tr>
+<tr id="row_1_4_169_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1ShapeOfAttrs.html" target="_self">ShapeOfAttrs</a></td><td class="desc">Attributes for ShapeOf operator </td></tr>
+<tr id="row_1_4_170_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ShapePattern.html" target="_self">ShapePattern</a></td><td class="desc">A pattern which matches a type in another pattern </td></tr>
+<tr id="row_1_4_171_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1ShapePatternNode.html" target="_self">ShapePatternNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Pattern.html" title="Pattern is the base type for an ADT match pattern in Relay. ">Pattern</a> for Shapes </td></tr>
+<tr id="row_1_4_172_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SliceLikeAttrs.html" target="_self">SliceLikeAttrs</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_173_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SoftmaxAttrs.html" target="_self">SoftmaxAttrs</a></td><td class="desc">Attributes used in softmax operators </td></tr>
+<tr id="row_1_4_174_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SpaceToBatchNDAttrs.html" target="_self">SpaceToBatchNDAttrs</a></td><td class="desc">Attributes used in SpaceToBatchND operator </td></tr>
+<tr id="row_1_4_175_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SparseDenseAttrs.html" target="_self">SparseDenseAttrs</a></td><td class="desc">Attributes for sparse_dense operator </td></tr>
+<tr id="row_1_4_176_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SparseToDenseAttrs.html" target="_self">SparseToDenseAttrs</a></td><td class="desc">Attributes used in sparse_to_dense operator </td></tr>
+<tr id="row_1_4_177_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SparseTransposeAttrs.html" target="_self">SparseTransposeAttrs</a></td><td class="desc">Attributes for sparse_transpose operator </td></tr>
+<tr id="row_1_4_178_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SplitAttrs.html" target="_self">SplitAttrs</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_179_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SqueezeAttrs.html" target="_self">SqueezeAttrs</a></td><td class="desc">Attributes used in squeeze operators </td></tr>
+<tr id="row_1_4_180_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1StackAttrs.html" target="_self">StackAttrs</a></td><td class="desc">Attributes used in stack operators </td></tr>
+<tr id="row_1_4_181_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1StridedSliceAttrs.html" target="_self">StridedSliceAttrs</a></td><td class="desc">Attributes for StridedSlice operator </td></tr>
+<tr id="row_1_4_182_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1SubPixelAttrs.html" target="_self">SubPixelAttrs</a></td><td class="desc">Attributes used in subpixel operators </td></tr>
+<tr id="row_1_4_183_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1TakeAttrs.html" target="_self">TakeAttrs</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_184_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TempExpr.html" target="_self">TempExpr</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_185_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TempExprNode.html" target="_self">TempExprNode</a></td><td class="desc">Base class of the temporary expression </td></tr>
+<tr id="row_1_4_186_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1TileAttrs.html" target="_self">TileAttrs</a></td><td class="desc">Attributes used in tile operators </td></tr>
+<tr id="row_1_4_187_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1TopKAttrs.html" target="_self">TopKAttrs</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_188_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1TransposeAttrs.html" target="_self">TransposeAttrs</a></td><td class="desc">Attributes used in transpose operators </td></tr>
+<tr id="row_1_4_189_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Tuple.html" target="_self">Tuple</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_190_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TupleGetItem.html" target="_self">TupleGetItem</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_191_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TupleGetItemNode.html" target="_self">TupleGetItemNode</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_192_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TupleGetItemPattern.html" target="_self">TupleGetItemPattern</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_193_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TupleGetItemPatternNode.html" target="_self">TupleGetItemPatternNode</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_194_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TupleNode.html" target="_self">TupleNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Tuple.html">Tuple</a> container </td></tr>
+<tr id="row_1_4_195_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TuplePattern.html" target="_self">TuplePattern</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_196_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TuplePatternNode.html" target="_self">TuplePatternNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Tuple.html">Tuple</a> container </td></tr>
+<tr id="row_1_4_197_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TypePattern.html" target="_self">TypePattern</a></td><td class="desc">A pattern which matches a type in another pattern </td></tr>
+<tr id="row_1_4_198_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1TypePatternNode.html" target="_self">TypePatternNode</a></td><td class="desc"><a class="el" href="classtvm_1_1relay_1_1Pattern.html" title="Pattern is the base type for an ADT match pattern in Relay. ">Pattern</a> for Types </td></tr>
+<tr id="row_1_4_199_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1UpSampling3DAttrs.html" target="_self">UpSampling3DAttrs</a></td><td class="desc">Attributes for upsampling3d operator </td></tr>
+<tr id="row_1_4_200_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1UpSamplingAttrs.html" target="_self">UpSamplingAttrs</a></td><td class="desc">Attributes for upsampling operator </td></tr>
+<tr id="row_1_4_201_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1Var.html" target="_self">Var</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_202_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1VarianceAttrs.html" target="_self">VarianceAttrs</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_203_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1VarNode.html" target="_self">VarNode</a></td><td class="desc">Container for <a class="el" href="classtvm_1_1relay_1_1Var.html">Var</a> </td></tr>
+<tr id="row_1_4_204_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1VarPattern.html" target="_self">VarPattern</a></td><td class="desc"></td></tr>
+<tr id="row_1_4_205_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1VarPatternNode.html" target="_self">VarPatternNode</a></td><td class="desc">Container for <a class="el" href="classtvm_1_1relay_1_1Var.html">Var</a> </td></tr>
+<tr id="row_1_4_206_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1WildcardPattern.html" target="_self">WildcardPattern</a></td><td class="desc">A pattern which matches anything </td></tr>
+<tr id="row_1_4_207_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1relay_1_1WildcardPatternNode.html" target="_self">WildcardPatternNode</a></td><td class="desc">Wildcard <a class="el" href="classtvm_1_1relay_1_1Pattern.html" title="Pattern is the base type for an ADT match pattern in Relay. ">Pattern</a> </td></tr>
+<tr id="row_1_4_208_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1relay_1_1YoloReorgAttrs.html" target="_self">YoloReorgAttrs</a></td><td class="desc">Attributes used in yolo reorg operators </td></tr>
<tr id="row_1_5_" class="even" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_1_5_" class="arrow" onclick="toggleFolder('1_5_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1runtime.html" target="_self">runtime</a></td><td class="desc"></td></tr>
<tr id="row_1_5_0_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_1_5_0_" class="arrow" onclick="toggleFolder('1_5_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1runtime_1_1micro__rpc.html" target="_self">micro_rpc</a></td><td class="desc"></td></tr>
<tr id="row_1_5_0_0_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1micro__rpc_1_1FrameBuffer.html" target="_self">FrameBuffer</a></td><td class="desc"></td></tr>
@@ -653,69 +655,71 @@ var searchBox = new SearchBox("searchBox", "search",false,'Search');
<tr id="row_1_7_65_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1LetNode.html" target="_self">LetNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Let.html" title="Managed reference to LetNode. ">Let</a> binding. Bind var to value then evaluate body </td></tr>
<tr id="row_1_7_66_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1LetStmt.html" target="_self">LetStmt</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1LetStmtNode.html" title="Let binding, bind var to value, then run body. ">LetStmtNode</a> </td></tr>
<tr id="row_1_7_67_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1LetStmtNode.html" target="_self">LetStmtNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Let.html" title="Managed reference to LetNode. ">Let</a> binding, bind var to value, then run body </td></tr>
-<tr id="row_1_7_68_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Load.html" target="_self">Load</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1LoadNode.html" title="Load the value from buffer_var. ">LoadNode</a> </td></tr>
-<tr id="row_1_7_69_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1LoadNode.html" target="_self">LoadNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Load.html" title="Managed reference to LoadNode. ">Load</a> the value from buffer_var </td></tr>
-<tr id="row_1_7_70_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1LT.html" target="_self">LT</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1LTNode.html" title="a < b ">LTNode</a> </td></tr>
-<tr id="row_1_7_71_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1LTNode.html" target="_self">LTNode</a></td><td class="desc">< b </td></tr>
-<tr id="row_1_7_72_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Max.html" target="_self">Max</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1MaxNode.html" title="max(a, b) ">MaxNode</a> </td></tr>
-<tr id="row_1_7_73_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1MaxNode.html" target="_self">MaxNode</a></td><td class="desc">Max(a, b) </td></tr>
-<tr id="row_1_7_74_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Min.html" target="_self">Min</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1MinNode.html" title="min(a, b) ">MinNode</a> </td></tr>
-<tr id="row_1_7_75_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1MinNode.html" target="_self">MinNode</a></td><td class="desc">Min(a, b) </td></tr>
-<tr id="row_1_7_76_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Mod.html" target="_self">Mod</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1ModNode.html" title="a % b in the C semnatics. ">ModNode</a> </td></tr>
-<tr id="row_1_7_77_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ModNode.html" target="_self">ModNode</a></td><td class="desc">% b in the C semnatics </td></tr>
-<tr id="row_1_7_78_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Mul.html" target="_self">Mul</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1MulNode.html" title="a * b ">MulNode</a> </td></tr>
-<tr id="row_1_7_79_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1MulNode.html" target="_self">MulNode</a></td><td class="desc"><ul>
+<tr id="row_1_7_68_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1LinkedParam.html" target="_self">LinkedParam</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html" title="Describes one parameter that should be linked into the generated module. ">LinkedParamNode</a> </td></tr>
+<tr id="row_1_7_69_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html" target="_self">LinkedParamNode</a></td><td class="desc">Describes one parameter that should be linked into the generated module </td></tr>
+<tr id="row_1_7_70_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Load.html" target="_self">Load</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1LoadNode.html" title="Load the value from buffer_var. ">LoadNode</a> </td></tr>
+<tr id="row_1_7_71_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1LoadNode.html" target="_self">LoadNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Load.html" title="Managed reference to LoadNode. ">Load</a> the value from buffer_var </td></tr>
+<tr id="row_1_7_72_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1LT.html" target="_self">LT</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1LTNode.html" title="a < b ">LTNode</a> </td></tr>
+<tr id="row_1_7_73_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1LTNode.html" target="_self">LTNode</a></td><td class="desc">< b </td></tr>
+<tr id="row_1_7_74_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Max.html" target="_self">Max</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1MaxNode.html" title="max(a, b) ">MaxNode</a> </td></tr>
+<tr id="row_1_7_75_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1MaxNode.html" target="_self">MaxNode</a></td><td class="desc">Max(a, b) </td></tr>
+<tr id="row_1_7_76_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Min.html" target="_self">Min</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1MinNode.html" title="min(a, b) ">MinNode</a> </td></tr>
+<tr id="row_1_7_77_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1MinNode.html" target="_self">MinNode</a></td><td class="desc">Min(a, b) </td></tr>
+<tr id="row_1_7_78_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Mod.html" target="_self">Mod</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1ModNode.html" title="a % b in the C semnatics. ">ModNode</a> </td></tr>
+<tr id="row_1_7_79_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ModNode.html" target="_self">ModNode</a></td><td class="desc">% b in the C semnatics </td></tr>
+<tr id="row_1_7_80_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Mul.html" target="_self">Mul</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1MulNode.html" title="a * b ">MulNode</a> </td></tr>
+<tr id="row_1_7_81_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1MulNode.html" target="_self">MulNode</a></td><td class="desc"><ul>
<li>b </li>
</ul>
</td></tr>
-<tr id="row_1_7_80_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1NE.html" target="_self">NE</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1NENode.html" title="a != b ">NENode</a> </td></tr>
-<tr id="row_1_7_81_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1NENode.html" target="_self">NENode</a></td><td class="desc">!= b </td></tr>
-<tr id="row_1_7_82_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Not.html" target="_self">Not</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1NotNode.html" title="!a ">NotNode</a> </td></tr>
-<tr id="row_1_7_83_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1NotNode.html" target="_self">NotNode</a></td><td class="desc">!a </td></tr>
-<tr id="row_1_7_84_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Or.html" target="_self">Or</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1OrNode.html" title="a || b ">OrNode</a> </td></tr>
-<tr id="row_1_7_85_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1OrNode.html" target="_self">OrNode</a></td><td class="desc">|| b </td></tr>
-<tr id="row_1_7_86_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Prefetch.html" target="_self">Prefetch</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1PrefetchNode.html" title="A prefetch hint for abuffer. ">PrefetchNode</a> </td></tr>
-<tr id="row_1_7_87_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1PrefetchNode.html" target="_self">PrefetchNode</a></td><td class="desc">A prefetch hint for abuffer </td></tr>
-<tr id="row_1_7_88_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1PrimFunc.html" target="_self">PrimFunc</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1PrimFuncNode.html" title="Primitive functions that contains TIR statements. ">PrimFuncNode</a> </td></tr>
-<tr id="row_1_7_89_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1PrimFuncNode.html" target="_self">PrimFuncNode</a></td><td class="desc">Primitive functions that contains TIR statements </td></tr>
-<tr id="row_1_7_90_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ProducerLoad.html" target="_self">ProducerLoad</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1ProducerLoadNode.html" title="Load value from the result produced by the producer. ">ProducerLoadNode</a> </td></tr>
-<tr id="row_1_7_91_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ProducerLoadNode.html" target="_self">ProducerLoadNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Load.html" title="Managed reference to LoadNode. ">Load</a> value from the result produced by the producer </td></tr>
-<tr id="row_1_7_92_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ProducerRealize.html" target="_self">ProducerRealize</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1ProducerRealizeNode.html" title="Annotate the bounds where the data produced by the producer need to be written and read in bod [...]
-<tr id="row_1_7_93_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ProducerRealizeNode.html" target="_self">ProducerRealizeNode</a></td><td class="desc">Annotate the bounds where the data produced by the producer need to be written and read in body. We will need to allocate space for the corresponding regions </td></tr>
-<tr id="row_1_7_94_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ProducerStore.html" target="_self">ProducerStore</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1ProducerStoreNode.html" title="Store value into mult-dimensional array that will be read by the consumer of the producer. ">Produce [...]
-<tr id="row_1_7_95_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ProducerStoreNode.html" target="_self">ProducerStoreNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Store.html" title="Managed reference to StoreNode. ">Store</a> value into mult-dimensional array that will be read by the consumer of the produc [...]
-<tr id="row_1_7_96_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Ramp.html" target="_self">Ramp</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1RampNode.html" title="Construct a vector with lanes elements where its i-th element equals base + i * stride. This is useful to construct a index for [...]
-<tr id="row_1_7_97_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1RampNode.html" target="_self">RampNode</a></td><td class="desc">Construct a vector with lanes elements where its i-th element equals base + i * stride. This is useful to construct a index for a continuous vector load </td></tr>
-<tr id="row_1_7_98_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Reduce.html" target="_self">Reduce</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1ReduceNode.html" title="Reduction operator operator. ">ReduceNode</a> </td></tr>
-<tr id="row_1_7_99_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ReduceNode.html" target="_self">ReduceNode</a></td><td class="desc">Reduction operator operator </td></tr>
-<tr id="row_1_7_100_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Select.html" target="_self">Select</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1SelectNode.html" title="return true_value if condition is true, otherwise return false_value. ">SelectNode</a> </td></tr>
-<tr id="row_1_7_101_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1SelectNode.html" target="_self">SelectNode</a></td><td class="desc">Return true_value if condition is true, otherwise return false_value </td></tr>
-<tr id="row_1_7_102_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_1_7_102_" class="arrow" onclick="toggleFolder('1_7_102_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1SeqStmt.html" target="_self">SeqStmt</a></td><td class="desc">Sequence statement </td></tr>
-<tr id="row_1_7_102_0_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1SeqStmt_1_1Flattener.html" target="_self">Flattener</a></td><td class="desc">Helper class to flatten sequence of arguments into Array </td></tr>
-<tr id="row_1_7_103_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1SeqStmtNode.html" target="_self">SeqStmtNode</a></td><td class="desc">The container of seq statement. Represent a sequence of statements </td></tr>
-<tr id="row_1_7_104_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Shuffle.html" target="_self">Shuffle</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1ShuffleNode.html" title="Shuffle instruction. vec = concat(vectors) result = (vec[indices[0]], vec[indices[1]] ...">ShuffleNode</a> </td></tr>
-<tr id="row_1_7_105_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ShuffleNode.html" target="_self">ShuffleNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Shuffle.html" title="Managed reference to ShuffleNode. ">Shuffle</a> instruction. vec = concat(vectors) result = (vec[indices[0]], vec[indices[1]] ...) </td></tr>
-<tr id="row_1_7_106_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1SizeVar.html" target="_self">SizeVar</a></td><td class="desc">Named variable represents a tensor index size </td></tr>
-<tr id="row_1_7_107_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1SizeVarNode.html" target="_self">SizeVarNode</a></td><td class="desc">A variable node represent a tensor index size, whose value must be non-negative </td></tr>
-<tr id="row_1_7_108_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Stmt.html" target="_self">Stmt</a></td><td class="desc">Container of all statements </td></tr>
-<tr id="row_1_7_109_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StmtExprMutator.html" target="_self">StmtExprMutator</a></td><td class="desc">Mutator that recursively mutates stmts and exprs on them </td></tr>
-<tr id="row_1_7_110_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StmtExprVisitor.html" target="_self">StmtExprVisitor</a></td><td class="desc">Visitor that recursively visit stmts and exprs on them </td></tr>
-<tr id="row_1_7_111_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StmtFunctor.html" target="_self">StmtFunctor</a></td><td class="desc">Same as <a class="el" href="classtvm_1_1tir_1_1ExprFunctor.html" title="A dynamical functor that dispatches on in the first Expr argument. You can use this as a more powerfu...">ExprFunctor</a> [...]
-<tr id="row_1_7_112_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StmtFunctor_3_01R_07const_01Stmt_01_6n_00_01Args_8_8_8args_08_4.html" target="_self">StmtFunctor< R(const Stmt &n, Args...args)></a></td><td class="desc"></td></tr>
-<tr id="row_1_7_113_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StmtMutator.html" target="_self">StmtMutator</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1StmtMutator.html" title="StmtMutator that mutates the statements. ">StmtMutator</a> that mutates the statements </td></tr>
-<tr id="row_1_7_114_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StmtNode.html" target="_self">StmtNode</a></td><td class="desc">Base node of all statements </td></tr>
-<tr id="row_1_7_115_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StmtVisitor.html" target="_self">StmtVisitor</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1StmtVisitor.html" title="StmtVisitor. ">StmtVisitor</a> </td></tr>
-<tr id="row_1_7_116_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Store.html" target="_self">Store</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1StoreNode.html" title="Store value to the buffer. ">StoreNode</a> </td></tr>
-<tr id="row_1_7_117_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StoreNode.html" target="_self">StoreNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Store.html" title="Managed reference to StoreNode. ">Store</a> value to the buffer </td></tr>
-<tr id="row_1_7_118_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StringImm.html" target="_self">StringImm</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1StringImmNode.html" title="String constants, only used in asserts. ">StringImmNode</a> </td></tr>
-<tr id="row_1_7_119_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StringImmNode.html" target="_self">StringImmNode</a></td><td class="desc">String constants, only used in asserts </td></tr>
-<tr id="row_1_7_120_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Sub.html" target="_self">Sub</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1SubNode.html" title="a - b ">SubNode</a> </td></tr>
-<tr id="row_1_7_121_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1SubNode.html" target="_self">SubNode</a></td><td class="desc"><ul>
+<tr id="row_1_7_82_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1NE.html" target="_self">NE</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1NENode.html" title="a != b ">NENode</a> </td></tr>
+<tr id="row_1_7_83_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1NENode.html" target="_self">NENode</a></td><td class="desc">!= b </td></tr>
+<tr id="row_1_7_84_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Not.html" target="_self">Not</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1NotNode.html" title="!a ">NotNode</a> </td></tr>
+<tr id="row_1_7_85_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1NotNode.html" target="_self">NotNode</a></td><td class="desc">!a </td></tr>
+<tr id="row_1_7_86_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Or.html" target="_self">Or</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1OrNode.html" title="a || b ">OrNode</a> </td></tr>
+<tr id="row_1_7_87_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1OrNode.html" target="_self">OrNode</a></td><td class="desc">|| b </td></tr>
+<tr id="row_1_7_88_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Prefetch.html" target="_self">Prefetch</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1PrefetchNode.html" title="A prefetch hint for abuffer. ">PrefetchNode</a> </td></tr>
+<tr id="row_1_7_89_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1PrefetchNode.html" target="_self">PrefetchNode</a></td><td class="desc">A prefetch hint for abuffer </td></tr>
+<tr id="row_1_7_90_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1PrimFunc.html" target="_self">PrimFunc</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1PrimFuncNode.html" title="Primitive functions that contains TIR statements. ">PrimFuncNode</a> </td></tr>
+<tr id="row_1_7_91_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1PrimFuncNode.html" target="_self">PrimFuncNode</a></td><td class="desc">Primitive functions that contains TIR statements </td></tr>
+<tr id="row_1_7_92_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ProducerLoad.html" target="_self">ProducerLoad</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1ProducerLoadNode.html" title="Load value from the result produced by the producer. ">ProducerLoadNode</a> </td></tr>
+<tr id="row_1_7_93_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ProducerLoadNode.html" target="_self">ProducerLoadNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Load.html" title="Managed reference to LoadNode. ">Load</a> value from the result produced by the producer </td></tr>
+<tr id="row_1_7_94_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ProducerRealize.html" target="_self">ProducerRealize</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1ProducerRealizeNode.html" title="Annotate the bounds where the data produced by the producer need to be written and read in bod [...]
+<tr id="row_1_7_95_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ProducerRealizeNode.html" target="_self">ProducerRealizeNode</a></td><td class="desc">Annotate the bounds where the data produced by the producer need to be written and read in body. We will need to allocate space for the corresponding regions </td></tr>
+<tr id="row_1_7_96_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ProducerStore.html" target="_self">ProducerStore</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1ProducerStoreNode.html" title="Store value into mult-dimensional array that will be read by the consumer of the producer. ">Produce [...]
+<tr id="row_1_7_97_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ProducerStoreNode.html" target="_self">ProducerStoreNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Store.html" title="Managed reference to StoreNode. ">Store</a> value into mult-dimensional array that will be read by the consumer of the produc [...]
+<tr id="row_1_7_98_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Ramp.html" target="_self">Ramp</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1RampNode.html" title="Construct a vector with lanes elements where its i-th element equals base + i * stride. This is useful to construct a index for [...]
+<tr id="row_1_7_99_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1RampNode.html" target="_self">RampNode</a></td><td class="desc">Construct a vector with lanes elements where its i-th element equals base + i * stride. This is useful to construct a index for a continuous vector load </td></tr>
+<tr id="row_1_7_100_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Reduce.html" target="_self">Reduce</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1ReduceNode.html" title="Reduction operator operator. ">ReduceNode</a> </td></tr>
+<tr id="row_1_7_101_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ReduceNode.html" target="_self">ReduceNode</a></td><td class="desc">Reduction operator operator </td></tr>
+<tr id="row_1_7_102_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Select.html" target="_self">Select</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1SelectNode.html" title="return true_value if condition is true, otherwise return false_value. ">SelectNode</a> </td></tr>
+<tr id="row_1_7_103_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1SelectNode.html" target="_self">SelectNode</a></td><td class="desc">Return true_value if condition is true, otherwise return false_value </td></tr>
+<tr id="row_1_7_104_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_1_7_104_" class="arrow" onclick="toggleFolder('1_7_104_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1SeqStmt.html" target="_self">SeqStmt</a></td><td class="desc">Sequence statement </td></tr>
+<tr id="row_1_7_104_0_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1SeqStmt_1_1Flattener.html" target="_self">Flattener</a></td><td class="desc">Helper class to flatten sequence of arguments into Array </td></tr>
+<tr id="row_1_7_105_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1SeqStmtNode.html" target="_self">SeqStmtNode</a></td><td class="desc">The container of seq statement. Represent a sequence of statements </td></tr>
+<tr id="row_1_7_106_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Shuffle.html" target="_self">Shuffle</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1ShuffleNode.html" title="Shuffle instruction. vec = concat(vectors) result = (vec[indices[0]], vec[indices[1]] ...">ShuffleNode</a> </td></tr>
+<tr id="row_1_7_107_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1ShuffleNode.html" target="_self">ShuffleNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Shuffle.html" title="Managed reference to ShuffleNode. ">Shuffle</a> instruction. vec = concat(vectors) result = (vec[indices[0]], vec[indices[1]] ...) </td></tr>
+<tr id="row_1_7_108_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1SizeVar.html" target="_self">SizeVar</a></td><td class="desc">Named variable represents a tensor index size </td></tr>
+<tr id="row_1_7_109_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1SizeVarNode.html" target="_self">SizeVarNode</a></td><td class="desc">A variable node represent a tensor index size, whose value must be non-negative </td></tr>
+<tr id="row_1_7_110_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Stmt.html" target="_self">Stmt</a></td><td class="desc">Container of all statements </td></tr>
+<tr id="row_1_7_111_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StmtExprMutator.html" target="_self">StmtExprMutator</a></td><td class="desc">Mutator that recursively mutates stmts and exprs on them </td></tr>
+<tr id="row_1_7_112_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StmtExprVisitor.html" target="_self">StmtExprVisitor</a></td><td class="desc">Visitor that recursively visit stmts and exprs on them </td></tr>
+<tr id="row_1_7_113_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StmtFunctor.html" target="_self">StmtFunctor</a></td><td class="desc">Same as <a class="el" href="classtvm_1_1tir_1_1ExprFunctor.html" title="A dynamical functor that dispatches on in the first Expr argument. You can use this as a more powerfu...">ExprFunctor</a> [...]
+<tr id="row_1_7_114_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StmtFunctor_3_01R_07const_01Stmt_01_6n_00_01Args_8_8_8args_08_4.html" target="_self">StmtFunctor< R(const Stmt &n, Args...args)></a></td><td class="desc"></td></tr>
+<tr id="row_1_7_115_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StmtMutator.html" target="_self">StmtMutator</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1StmtMutator.html" title="StmtMutator that mutates the statements. ">StmtMutator</a> that mutates the statements </td></tr>
+<tr id="row_1_7_116_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StmtNode.html" target="_self">StmtNode</a></td><td class="desc">Base node of all statements </td></tr>
+<tr id="row_1_7_117_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StmtVisitor.html" target="_self">StmtVisitor</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1StmtVisitor.html" title="StmtVisitor. ">StmtVisitor</a> </td></tr>
+<tr id="row_1_7_118_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Store.html" target="_self">Store</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1StoreNode.html" title="Store value to the buffer. ">StoreNode</a> </td></tr>
+<tr id="row_1_7_119_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StoreNode.html" target="_self">StoreNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Store.html" title="Managed reference to StoreNode. ">Store</a> value to the buffer </td></tr>
+<tr id="row_1_7_120_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StringImm.html" target="_self">StringImm</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1StringImmNode.html" title="String constants, only used in asserts. ">StringImmNode</a> </td></tr>
+<tr id="row_1_7_121_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1StringImmNode.html" target="_self">StringImmNode</a></td><td class="desc">String constants, only used in asserts </td></tr>
+<tr id="row_1_7_122_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Sub.html" target="_self">Sub</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1SubNode.html" title="a - b ">SubNode</a> </td></tr>
+<tr id="row_1_7_123_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1SubNode.html" target="_self">SubNode</a></td><td class="desc"><ul>
<li>b </li>
</ul>
</td></tr>
-<tr id="row_1_7_122_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Var.html" target="_self">Var</a></td><td class="desc">Named variable in TIR </td></tr>
-<tr id="row_1_7_123_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1VarNode.html" target="_self">VarNode</a></td><td class="desc">A variable node in the IR </td></tr>
+<tr id="row_1_7_124_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1Var.html" target="_self">Var</a></td><td class="desc">Named variable in TIR </td></tr>
+<tr id="row_1_7_125_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1tir_1_1VarNode.html" target="_self">VarNode</a></td><td class="desc">A variable node in the IR </td></tr>
<tr id="row_1_8_" class="even" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_1_8_" class="arrow" onclick="toggleFolder('1_8_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1topi.html" target="_self">topi</a></td><td class="desc"></td></tr>
<tr id="row_1_9_" class="even" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_1_9_" class="arrow" onclick="toggleFolder('1_9_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1transform.html" target="_self">transform</a></td><td class="desc"></td></tr>
<tr id="row_1_9_0_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1transform_1_1Pass.html" target="_self">Pass</a></td><td class="desc"></td></tr>
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<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a46879dbe84105fb621a6167f8d73b223"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a46879dbe84105fb621a6167f8d73b223">tvm::runtime::vm::Instruction::target</a></div><div class="ttdeci">RegName target</div><div class="ttdoc">The register containing the target value. </div><div class="ttdef"><b>Definition:</b> bytecode.h:142</div></div>
<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a360b264ed892e620935b648e5a91a5ea"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a360b264ed892e620935b648e5a91a5ea">tvm::runtime::vm::Instruction::arity</a></div><div class="ttdeci">Index arity</div><div class="ttdoc">The arity of the packed function. </div><div class="ttdef"><b>Definition:</b> bytecode.h:132</div></div>
<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a3a175836bc0893d99935f32911e45bfd"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a3a175836bc0893d99935f32911e45bfd">tvm::runtime::vm::Instruction::closure</a></div><div class="ttdeci">RegName closure</div><div class="ttdoc">The register containing the closure. </div><div class="ttdef"><b>Definition:</b> bytecode.h:114</div></div>
-<div class="ttc" id="namespacetvm_1_1topi_html_af30c02f3a3f37c7963b3af60fb9c72a1"><div class="ttname"><a href="namespacetvm_1_1topi.html#af30c02f3a3f37c7963b3af60fb9c72a1">tvm::topi::shape</a></div><div class="ttdeci">Tensor shape(const Tensor &src, DataType dtype, const std::string name="T_shape", const std::string tag=kInjective)</div><div class="ttdoc">Get the shape of input tensor. </div><div class="ttdef"><b>Definition:</b> transform.h:1411</div></div>
+<div class="ttc" id="namespacetvm_1_1topi_html_af30c02f3a3f37c7963b3af60fb9c72a1"><div class="ttname"><a href="namespacetvm_1_1topi.html#af30c02f3a3f37c7963b3af60fb9c72a1">tvm::topi::shape</a></div><div class="ttdeci">Tensor shape(const Tensor &src, DataType dtype, const std::string name="T_shape", const std::string tag=kInjective)</div><div class="ttdoc">Get the shape of input tensor. </div><div class="ttdef"><b>Definition:</b> transform.h:1479</div></div>
<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a3412cabd3b4f42f106f56fc22257f6ca"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a3412cabd3b4f42f106f56fc22257f6ca">tvm::runtime::vm::Instruction::storage</a></div><div class="ttdeci">RegName storage</div><div class="ttdoc">The storage to allocate from. </div><div class="ttdef"><b>Definition:</b> bytecode.h:92</div></div>
<div class="ttc" id="namespacetvm_1_1runtime_1_1vm_html_a3597867d2db714bf760876a23d6b7d3d"><div class="ttname"><a href="namespacetvm_1_1runtime_1_1vm.html#a3597867d2db714bf760876a23d6b7d3d">tvm::runtime::vm::Index</a></div><div class="ttdeci">int64_t Index</div><div class="ttdoc">An alias for the integer type used ubiquitously in the VM. </div><div class="ttdef"><b>Definition:</b> bytecode.h:43</div></div>
<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a342c8c66b1886eb1fa0ca8a5b23f92aa"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a342c8c66b1886eb1fa0ca8a5b23f92aa">tvm::runtime::vm::Instruction::device_type</a></div><div class="ttdeci">Index device_type</div><div class="ttdoc">The device type of the allocation. </div><div class="ttdef"><b>Definition:</b> bytecode.h:202</div></div>
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index 8c22d69..2c74401 100644
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+<g id="edge73" class="edge"><title>Node38->Node34</title>
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+<!-- Node38->Node35 -->
+<g id="edge74" class="edge"><title>Node38->Node35</title>
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+<polygon fill="midnightblue" stroke="midnightblue" points="1718.05,-587.722 1728.61,-586.936 1719.86,-580.961 1718.05,-587.722"/>
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+<!-- Node40->Node37 -->
+<g id="edge79" class="edge"><title>Node40->Node37</title>
+<path fill="none" stroke="midnightblue" d="M996.044,-621.565C996.495,-630.596 996.206,-640.56 995.178,-648.396"/>
+<polygon fill="midnightblue" stroke="midnightblue" points="999.528,-621.236 995.175,-611.577 992.555,-621.842 999.528,-621.236"/>
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<!-- Node40->Node41 -->
<g id="edge80" class="edge"><title>Node40->Node41</title>
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-<polygon fill="midnightblue" stroke="midnightblue" points="1155.47,-578.785 1165.74,-581.396 1159.34,-572.952 1155.47,-578.785"/>
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<!-- Node40->Node42 -->
<g id="edge82" class="edge"><title>Node40->Node42</title>
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+<polygon fill="midnightblue" stroke="midnightblue" points="972.047,-574.861 980.404,-581.374 977.932,-571.071 972.047,-574.861"/>
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<!-- Node41->Node42 -->
<g id="edge81" class="edge"><title>Node41->Node42</title>
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-<polygon fill="midnightblue" stroke="midnightblue" points="1113.26,-505.541 1107.44,-514.396 1117.51,-511.102 1113.26,-505.541"/>
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+<polygon fill="midnightblue" stroke="midnightblue" points="843.761,-505.541 837.944,-514.396 848.013,-511.102 843.761,-505.541"/>
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-<!-- Node43->Node35 -->
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-<polygon fill="midnightblue" stroke="midnightblue" points="552.183,-676.236 541.64,-677.286 550.537,-683.04 552.183,-676.236"/>
+<!-- Node43->Node36 -->
+<g id="edge86" class="edge"><title>Node43->Node36</title>
+<path fill="none" stroke="midnightblue" d="M699.04,-684.518C712.429,-694.514 727.18,-706.367 737.386,-715.396"/>
+<polygon fill="midnightblue" stroke="midnightblue" points="701.068,-681.665 690.933,-678.577 696.93,-687.311 701.068,-681.665"/>
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<!-- Node44->Node42 -->
<g id="edge88" class="edge"><title>Node44->Node42</title>
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<!-- Node45->Node41 -->
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-<polygon fill="midnightblue" stroke="midnightblue" points="844.566,-577.528 835.516,-583.036 846.026,-584.374 844.566,-577.528"/>
+<g id="edge92" class="edge"><title>Node45->Node41</title>
+<path fill="none" stroke="midnightblue" d="M767.606,-574.883C779.155,-565.005 792.69,-553.429 803.041,-544.577"/>
+<polygon fill="midnightblue" stroke="midnightblue" points="765.316,-572.236 759.991,-581.396 769.865,-577.556 765.316,-572.236"/>
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<!-- Node45->Node42 -->
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+<g id="edge93" class="edge"><title>Node45->Node42</title>
+<path fill="none" stroke="midnightblue" d="M740.092,-571.206C738.987,-553.454 740.578,-529.815 753.5,-514 776.325,-486.066 815.118,-473.488 847.668,-467.87"/>
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<!-- Node46->Node7 -->
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+<g id="edge109" class="edge"><title>Node46->Node7</title>
+<path fill="none" stroke="midnightblue" d="M1505.32,-863.967C1671.57,-863.338 2090.5,-849.996 2090.5,-731.5 2090.5,-731.5 2090.5,-731.5 2090.5,-595.5 2090.5,-446.747 1868.03,-409.177 1752.46,-399.695"/>
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<!-- Node46->Node9 -->
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+<g id="edge100" class="edge"><title>Node46->Node9</title>
+<path fill="none" stroke="midnightblue" d="M1505.37,-862.139C1694.7,-857.928 2225.34,-843.514 2297.5,-813 2346.9,-792.11 2386.5,-785.135 2386.5,-731.5 2386.5,-731.5 2386.5,-731.5 2386.5,-595.5 2386.5,-502.177 2453.5,-489.823 2453.5,-396.5 2453.5,-396.5 2453.5,-396.5 2453.5,-260.5 2453.5,-223.306 2462.26,-203.755 2434.5,-179 2406.36,-153.908 2162.16,-137.529 2051.09,-131.312"/>
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<!-- Node46->Node10 -->
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+<g id="edge101" class="edge"><title>Node46->Node10</title>
+<path fill="none" stroke="midnightblue" d="M1505.44,-861.208C1660.49,-855.484 2034.88,-839.114 2085.5,-813 2119.99,-795.208 2127.99,-782.382 2141.5,-746 2180.18,-641.831 2220.57,-329.717 2147.5,-246 2107.53,-200.208 1927.63,-194.404 1834.21,-194.576"/>
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<!-- Node46->Node14 -->
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-<!-- Node46->Node16 -->
-<g id="edge101" class="edge"><title>Node46->Node16</title>
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+<g id="edge131" class="edge"><title>Node46->Node14</title>
+<path fill="none" stroke="midnightblue" d="M1371.7,-862.566C1247.14,-859.951 984.635,-850.079 902.5,-813 884.159,-804.72 887.656,-790.678 869.5,-782 764.247,-731.692 723.816,-769.259 609.5,-746 459.404,-715.461 298.5,-750.671 298.5,-597.5 298.5,-597.5 298.5,-597.5 298.5,-126.5 298.5,-70.3457 367.126,-34.819 404.656,-19.5888"/>
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<!-- Node46->Node17 -->
<g id="edge102" class="edge"><title>Node46->Node17</title>
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-<polygon fill="midnightblue" stroke="midnightblue" points="1483.91,-844.483 1474.8,-849.903 1485.3,-851.343 1483.91,-844.483"/>
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-<!-- Node46->Node21 -->
-<g id="edge111" class="edge"><title>Node46->Node21</title>
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+<!-- Node46->Node18 -->
+<g id="edge103" class="edge"><title>Node46->Node18</title>
+<path fill="none" stroke="midnightblue" d="M1505.78,-863.268C1641.96,-861.922 1945.31,-854.231 2039.5,-813 2088.63,-791.491 2128.5,-785.135 2128.5,-731.5 2128.5,-731.5 2128.5,-731.5 2128.5,-394.5 2128.5,-345.361 2099.24,-291.584 2086.89,-271.083"/>
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-<!-- Node46->Node23 -->
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+<!-- Node46->Node22 -->
+<g id="edge112" class="edge"><title>Node46->Node22</title>
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-<!-- Node46->Node25 -->
-<g id="edge110" class="edge"><title>Node46->Node25</title>
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+<!-- Node46->Node24 -->
+<g id="edge110" class="edge"><title>Node46->Node24</title>
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+<!-- Node46->Node26 -->
+<g id="edge111" class="edge"><title>Node46->Node26</title>
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<!-- Node46->Node36 -->
<g id="edge126" class="edge"><title>Node46->Node36</title>
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<!-- Node46->Node37 -->
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+<g id="edge127" class="edge"><title>Node46->Node37</title>
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+<!-- Node46->Node38 -->
+<g id="edge104" class="edge"><title>Node46->Node38</title>
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<!-- Node46->Node40 -->
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<!-- Node46->Node41 -->
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diff --git a/docs/api/doxygen/c__runtime__api_8h_source.html b/docs/api/doxygen/c__runtime__api_8h_source.html
index 0d082c8..11e941c 100644
--- a/docs/api/doxygen/c__runtime__api_8h_source.html
+++ b/docs/api/doxygen/c__runtime__api_8h_source.html
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<div class="ttc" id="c__runtime__api_8h_html_a6cd1076476117e74454f67931c2da1d4"><div class="ttname"><a href="c__runtime__api_8h.html#a6cd1076476117e74454f67931c2da1d4">TVMRetValueHandle</a></div><div class="ttdeci">void * TVMRetValueHandle</div><div class="ttdoc">Handle to hold return value. </div><div class="ttdef"><b>Definition:</b> c_runtime_api.h:167</div></div>
<div class="ttc" id="c__runtime__api_8h_html_acf57d257a6e0841d84ebbd2a339d183e"><div class="ttname"><a href="c__runtime__api_8h.html#acf57d257a6e0841d84ebbd2a339d183e">TVMFunctionHandle</a></div><div class="ttdeci">void * TVMFunctionHandle</div><div class="ttdoc">Handle to packed function handle. </div><div class="ttdef"><b>Definition:</b> c_runtime_api.h:165</div></div>
-<div class="ttc" id="namespacetvm_1_1topi_html_af30c02f3a3f37c7963b3af60fb9c72a1"><div class="ttname"><a href="namespacetvm_1_1topi.html#af30c02f3a3f37c7963b3af60fb9c72a1">tvm::topi::shape</a></div><div class="ttdeci">Tensor shape(const Tensor &src, DataType dtype, const std::string name="T_shape", const std::string tag=kInjective)</div><div class="ttdoc">Get the shape of input tensor. </div><div class="ttdef"><b>Definition:</b> transform.h:1411</div></div>
+<div class="ttc" id="namespacetvm_1_1topi_html_af30c02f3a3f37c7963b3af60fb9c72a1"><div class="ttname"><a href="namespacetvm_1_1topi.html#af30c02f3a3f37c7963b3af60fb9c72a1">tvm::topi::shape</a></div><div class="ttdeci">Tensor shape(const Tensor &src, DataType dtype, const std::string name="T_shape", const std::string tag=kInjective)</div><div class="ttdoc">Get the shape of input tensor. </div><div class="ttdef"><b>Definition:</b> transform.h:1479</div></div>
<div class="ttc" id="c__runtime__api_8h_html_ace8007daffd9f2c6d954c24d870bfcc4"><div class="ttname"><a href="c__runtime__api_8h.html#ace8007daffd9f2c6d954c24d870bfcc4">tvm_index_t</a></div><div class="ttdeci">int64_t tvm_index_t</div><div class="ttdoc">type of array index. </div><div class="ttdef"><b>Definition:</b> c_runtime_api.h:76</div></div>
<div class="ttc" id="c__runtime__api_8h_html_a190e81769e805cca153514137a66e793a9387f774bc8453afe4aa4cd17789a405"><div class="ttname"><a href="c__runtime__api_8h.html#a190e81769e805cca153514137a66e793a9387f774bc8453afe4aa4cd17789a405">kTVMOpaqueHandle</a></div><div class="ttdef"><b>Definition:</b> c_runtime_api.h:108</div></div>
<div class="ttc" id="c__runtime__api_8h_html_ae899a6a211b7913e92420a01b804db64"><div class="ttname"><a href="c__runtime__api_8h.html#ae899a6a211b7913e92420a01b804db64">TVMObjectRetain</a></div><div class="ttdeci">int TVMObjectRetain(TVMObjectHandle obj)</div><div class="ttdoc">Increase the reference count of an object. </div></div>
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+</td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1CostModel.html">CostModel</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1IRModuleNode.html">IRModuleNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1PlaceholderOpNode.html">PlaceholderOpNode</a> (<a class="el" href="names [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1CostModelNode.html">CostModelNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1IterAdapter.html">IterAdapter</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1PointerType.html">PointerType</a> (<a clas [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1AccessAnalyzer.html">AccessAnalyzer</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1CropAndResizeAttrs.html">CropAndResizeAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1Iterator.htm [...]
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-</td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1Iterator.html">Iterator</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1PragmaStep.html">PragmaStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1StageNode.h [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1AdaptivePool2DAttrs.html">AdaptivePool2DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1IteratorNode.html">IteratorNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1PragmaStepNode [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1AdaptivePool3DAttrs.html">AdaptivePool3DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1DataProducer.html">DataProducer</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1auto__scheduler_1_1AttachMapNode_1_1IterKeyHash.html">AttachMapNode [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Add.html">Add</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1DataProducerNode.html">DataProducerNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IterMapExpr.html">IterMapExpr</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::ar [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1AddNode.html">AddNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1DataType.html">DataType</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IterMapExprNode.html">IterMapExprNode</a> (<a class="el" href="namespacetvm_1_1arith.h [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1ADT.html">ADT</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DataTypePattern.html">DataTypePattern</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IterMark.html">IterMark</a> (<a class="el" href="namespacetvm_1_1arith.htm [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1ADTObj.html">ADTObj</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DataTypePatternNode.html">DataTypePatternNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IterMarkNode.html">IterMarkNode</a> (<a class="el" href="nam [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1AffineGridAttrs.html">AffineGridAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1DebugAttrs.html">DebugAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IterSplitExpr.html">IterSplitExpr</a> (<a class="el" href="names [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Allocate.html">Allocate</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1DeformableConv2DAttrs.html">DeformableConv2DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IterSplitExprNode.html">IterSplitExprNode</a> (<a class="el" hr [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1AllocateNode.html">AllocateNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1DenseAttrs.html">DenseAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IterSumExpr.html">IterSumExpr</a> (<a class="el" href="namespacetvm_1_1arith. [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1vm_1_1Allocator.html">Allocator</a> (<a class="el" href="namespacetvm_1_1runtime_1_1vm.html">tvm::runtime::vm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DenseMapNode.html">DenseMapNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IterSumExprNode.html">IterSumExprNode</a> (<a class="el" href="namespacetvm_1 [...]
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-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1AllocTensorAttrs.html">AllocTensorAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1DeviceAPI.html">DeviceAPI</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1IterVarAttr.html">IterVarAttr</a> (<a class="el" href="namespa [...]
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-<tr><td valign="top"><a class="el" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DFPatternCallback.html">DFPatternCallback</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1IterVarRelation.html">IterVarRelation</a> (<a class="el" href="namesp [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1And.html">And</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DFPatternCallbackNode.html">DFPatternCallbackNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1IterVarRelationNode.html">IterVarRelationNode</a> (<a class="el" href="namesp [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1AndNode.html">AndNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DFPatternFunctor.html">DFPatternFunctor</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_L"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  [...]
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-<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1AnnotationStepNode.html">AnnotationStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DFPatternNode.html">DFPatternNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1L2NormalizeAttrs.html">L [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Any.html">Any</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DFPatternVisitor.html">DFPatternVisitor</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1LayerNormAttrs.html">LayerNormAttrs</a> (<a class="el" href="namespacetvm_1_1relay. [...]
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-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ArangeAttrs.html">ArangeAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DiagnosticBuilder.html">DiagnosticBuilder</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LayoutAxis.html">LayoutAxis</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::ti [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ArgsortAttrs.html">ArgsortAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DiagnosticContext.html">DiagnosticContext</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LayoutNode.html">LayoutNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm:: [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1Array.html">Array</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DiagnosticContextNode.html">DiagnosticContextNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1LayoutTransformAttrs.html">LayoutTransformAttrs</a> (<a class="el" href="namespace [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1SimpleObjAllocator_1_1ArrayHandler.html">SimpleObjAllocator::ArrayHandler</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DiagnosticNode.html">DiagnosticNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LE.html">LE</a> (<a class="el" href="namesp [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1ArrayNode.html">ArrayNode</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DiagnosticRenderer.html">DiagnosticRenderer</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1LeakyReluAttrs.html">LeakyReluAttrs</a> (<a class="el" href="namespacetvm_1_1rel [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1AssertStmt.html">AssertStmt</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DiagnosticRendererNode.html">DiagnosticRendererNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1tir_1_1LENode.html">LENode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>) [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1AssertStmtNode.html">AssertStmtNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DictAttrs.html">DictAttrs</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Let.html">Let</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><t [...]
+</td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1IteratorNode.html">IteratorNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1PragmaStep.html">PragmaStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1Sta [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1AdaptivePool2DAttrs.html">AdaptivePool2DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1auto__scheduler_1_1AttachMapNode_1_1IterKeyHash.html">AttachMapNode::IterKeyHash</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1au [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1AdaptivePool3DAttrs.html">AdaptivePool3DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1DataProducer.html">DataProducer</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IterMapExpr.html">IterMapExpr</a> (<a class="el" href="name [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Add.html">Add</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1DataProducerNode.html">DataProducerNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IterMapExprNode.html">IterMapExprNode</a> (<a class="el" href="namespacetvm_1_1arith.html" [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1AddNode.html">AddNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1DataType.html">DataType</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IterMark.html">IterMark</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arit [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1ADT.html">ADT</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DataTypePattern.html">DataTypePattern</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IterMarkNode.html">IterMarkNode</a> (<a class="el" href="namespacetvm_1_1a [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1ADTObj.html">ADTObj</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DataTypePatternNode.html">DataTypePatternNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IterSplitExpr.html">IterSplitExpr</a> (<a class="el" href="n [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1AffineGridAttrs.html">AffineGridAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1DebugAttrs.html">DebugAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IterSplitExprNode.html">IterSplitExprNode</a> (<a class="el" hre [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Allocate.html">Allocate</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1DeformableConv2DAttrs.html">DeformableConv2DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IterSumExpr.html">IterSumExpr</a> (<a class="el" href="namespac [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1AllocateNode.html">AllocateNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1DenseAttrs.html">DenseAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IterSumExprNode.html">IterSumExprNode</a> (<a class="el" href="namespacetvm_1 [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1vm_1_1Allocator.html">Allocator</a> (<a class="el" href="namespacetvm_1_1runtime_1_1vm.html">tvm::runtime::vm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DenseMapNode.html">DenseMapNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1IterVar.html">IterVar</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::t [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1AllocStorageAttrs.html">AllocStorageAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1qnn_1_1DequantizeAttrs.html">DequantizeAttrs</a> (<a class="el" href="namespacetvm_1_1relay_1_1qnn.html">tvm::relay::qnn</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1IterVarAttr.html">IterVarAttr</a> [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1AllocTensorAttrs.html">AllocTensorAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1DeviceAPI.html">DeviceAPI</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1IterVarAttrNode.html">IterVarAttrNode</a> (<a class="el" href= [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1AltPattern.html">AltPattern</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1DeviceCopyAttrs.html">DeviceCopyAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1IterVarNode.html">IterVarNode</a> (<a class="el" href="namespacetvm [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1AltPatternNode.html">AltPatternNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DFPattern.html">DFPattern</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1IterVarRelation.html">IterVarRelation</a> (<a class="el" href="namespacet [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DFPatternCallback.html">DFPatternCallback</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1IterVarRelationNode.html">IterVarRelationNode</a> (<a class="el" href [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1And.html">And</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DFPatternCallbackNode.html">DFPatternCallbackNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_L"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah"> [...]
+</td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1ProducerRealizeNode.html">ProducerRealizeNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1vm_1_1StorageObj.html">StorageObj</a> (<a class="el" href="namespacetvm_1_1runtime_1_1vm.html">tvm::runtime::vm</a>)   </td></tr>
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1AndNode.html">AndNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DFPatternFunctor.html">DFPatternFunctor</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1ProducerStore.html">ProducerStore</a> (<a class="el" href="namespacetvm_1_1tir [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1AnnotationStep.html">AnnotationStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DFPatternFunctor_3_01R_07const_01DFPattern_01_6n_00_01Args_8_8_8_08_4.html">DFPatternFunctor< R(const DFPattern &n, Args...)></a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1AnnotationStepNode.html">AnnotationStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DFPatternNode.html">DFPatternNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1LayerNormAttrs.html">Lay [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Any.html">Any</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DFPatternVisitor.html">DFPatternVisitor</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Layout.html">Layout</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)&# [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1AnyNode.html">AnyNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1Diagnostic.html">Diagnostic</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LayoutAxis.html">LayoutAxis</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td> [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ArangeAttrs.html">ArangeAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DiagnosticBuilder.html">DiagnosticBuilder</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LayoutNode.html">LayoutNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::ti [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ArgsortAttrs.html">ArgsortAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DiagnosticContext.html">DiagnosticContext</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1LayoutTransformAttrs.html">LayoutTransformAttrs</a> (<a class="el" href="namespac [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1Array.html">Array</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DiagnosticContextNode.html">DiagnosticContextNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LE.html">LE</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)  [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1SimpleObjAllocator_1_1ArrayHandler.html">SimpleObjAllocator::ArrayHandler</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DiagnosticNode.html">DiagnosticNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1LeakyReluAttrs.html">LeakyReluAttrs</a> [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1ArrayNode.html">ArrayNode</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DiagnosticRenderer.html">DiagnosticRenderer</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1tir_1_1LENode.html">LENode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1AssertStmt.html">AssertStmt</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DiagnosticRendererNode.html">DiagnosticRendererNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Let.html">Let</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>) & [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1AssertStmtNode.html">AssertStmtNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DictAttrs.html">DictAttrs</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1Let.html">Let</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   < [...]
</td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1SubPixelAttrs.html">SubPixelAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td></tr>
-<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1AttachMap.html">AttachMap</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DictAttrsNode.html">DictAttrsNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1Let.html">Let</a> (<a class="el" href="namespacetvm_1_1relay.html">t [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1AttachMap.html">AttachMap</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1DictAttrsNode.html">DictAttrsNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LetNode.html">LetNode</a> (<a class="el" href="namespacetvm_1_1tir.htm [...]
</td></tr>
-<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1AttachMapNode.html">AttachMapNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1DilateAttrs.html">DilateAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LetNode.html">LetNode</a> (<a class="el" [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1detail_1_1AttrDocEntry.html">AttrDocEntry</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Dilation2DAttrs.html">Dilation2DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1LetNode.html">LetNode</a> (<a class="el" href="namespacetv [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1AttachMapNode.html">AttachMapNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1DilateAttrs.html">DilateAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1LetNode.html">LetNode</a> (<a class="e [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1detail_1_1AttrDocEntry.html">AttrDocEntry</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Dilation2DAttrs.html">Dilation2DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LetStmt.html">LetStmt</a> (<a class="el" href="namespacetvm_ [...]
</td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1TakeAttrs.html">TakeAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td></tr>
-<tr><td valign="top"><a class="el" href="classtvm_1_1detail_1_1AttrDocVisitor.html">AttrDocVisitor</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Div.html">Div</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LetStmt.html">LetStmt</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)& [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1AttrError.html">AttrError</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1DivNode.html">DivNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LetStmtNode.html">LetStmtNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1detail_1_1AttrExistVisitor.html">AttrExistVisitor</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DominatorPattern.html">DominatorPattern</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Load.html">Load</a> (<a class="el" href="namespacet [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1AttrFieldInfo.html">AttrFieldInfo</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DominatorPatternNode.html">DominatorPatternNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LoadNode.html">LoadNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tv [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1AttrFieldInfoNode.html">AttrFieldInfoNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1DropoutAttrs.html">DropoutAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1LocalBuilder.html">LocalBuilder</a> (<a class="el" href="namespacetvm_1_ [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1detail_1_1AttrDocVisitor.html">AttrDocVisitor</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Div.html">Div</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LetStmtNode.html">LetStmtNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::t [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1AttrError.html">AttrError</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1DivNode.html">DivNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LinkedParam.html">LinkedParam</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1detail_1_1AttrExistVisitor.html">AttrExistVisitor</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DominatorPattern.html">DominatorPattern</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html">LinkedParamNode</a> (<a class [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1AttrFieldInfo.html">AttrFieldInfo</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1DominatorPatternNode.html">DominatorPatternNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Load.html">Load</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</ [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1AttrFieldInfoNode.html">AttrFieldInfoNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1DropoutAttrs.html">DropoutAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LoadNode.html">LoadNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir< [...]
<tr><td valign="top"><a class="el" href="structtvm_1_1detail_1_1AttrInitEntry.html">AttrInitEntry</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_E"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  E  </div></td></tr></table>
-</td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1LocalBuilderNode.html">LocalBuilderNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1Range.html">Range</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1TargetNode.html">TargetNode</a> (<a class="el" href="namespacetvm.html">tvm</a [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1detail_1_1AttrInitVisitor.html">AttrInitVisitor</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1LocalRunner.html">LocalRunner</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1RangeNode.html">RangeNode</a> (<a class=" [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1detail_1_1AttrNonDefaultVisitor.html">AttrNonDefaultVisitor</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1EnvFunc.html">EnvFunc</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1LocalRunnerNode.html">LocalRunnerNode</a> (<a class="el" href="namespace [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1detail_1_1AttrNopEntry.html">AttrNopEntry</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1EnvFuncNode.html">EnvFuncNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1LRNAttrs.html">LRNAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1detail_1_1AttrNormalVisitor.html">AttrNormalVisitor</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1EQ.html">EQ</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LT.html">LT</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>) & [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1AttrPattern.html">AttrPattern</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1EQNode.html">EQNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LTNode.html">LTNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)  [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1AttrPatternNode.html">AttrPatternNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1Error.html">Error</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_M"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  M  </div [...]
-</td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1RecordReader.html">RecordReader</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1Tensor.html">Tensor</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td></tr>
-<tr><td valign="top"><a class="el" href="classtvm_1_1AttrRegistryMap.html">AttrRegistryMap</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1ErrorBuilder.html">ErrorBuilder</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1RecordReaderNode.html">RecordReaderNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1AttrRegistryMapContainerMap.html">AttrRegistryMapContainerMap</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1ErrorReporter.html">ErrorReporter</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1Map.html">Map</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td va [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1Attrs.html">Attrs</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Evaluate.html">Evaluate</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1MapNode.html">MapNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" hr [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1AttrsNode.html">AttrsNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1EvaluateNode.html">EvaluateNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1Match.html">Match</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   < [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1detail_1_1AttrsSEqualVisitor.html">AttrsSEqualVisitor</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1vm_1_1Executable.html">Executable</a> (<a class="el" href="namespacetvm_1_1runtime_1_1vm.html">tvm::runtime::vm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1MatchNode.html">MatchNode</a> (<a c [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1detail_1_1AttrsSHashVisitor.html">AttrsSHashVisitor</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ExpandDimsAttrs.html">ExpandDimsAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1MatrixSetDiagAttrs.html">MatrixSetDiagAttrs</a> [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1AttrStmt.html">AttrStmt</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1tir_1_1ExprDeepEqual.html">ExprDeepEqual</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Max.html">Max</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)  [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1AttrStmtNode.html">AttrStmtNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1ExprFunctor.html">ExprFunctor</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1MaxNode.html">MaxNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1detail_1_1AttrTriggerNonDefaultEntry.html">AttrTriggerNonDefaultEntry</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ExprFunctor.html">ExprFunctor</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1MaxPool1DAttrs.html">MaxPool1DAttrs</ [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1AttrVisitor.html">AttrVisitor</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ExprFunctor_3_01R_07const_01Expr_01_6n_00_01Args_8_8_8_08_4.html">ExprFunctor< R(const Expr &n, Args...)></a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1MaxPool2DA [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1AvgPool1DAttrs.html">AvgPool1DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1ExprFunctor_3_01R_07const_01PrimExpr_01_6n_00_01Args_8_8_8_08_4.html">ExprFunctor< R(const PrimExpr &n, Args...)></a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1AvgPool2DAttrs.html">AvgPool2DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ExprMutator.html">ExprMutator</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureCallback.html">MeasureCallback</a> (<a class="el [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1AvgPool3DAttrs.html">AvgPool3DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1ExprMutator.html">ExprMutator</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureCallbackNode.html">MeasureCallbackNode</a> (<a class=" [...]
+</td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1LocalBuilder.html">LocalBuilder</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1Range.html">Range</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1TargetNode.html">TargetNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)  [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1detail_1_1AttrInitVisitor.html">AttrInitVisitor</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1LocalBuilderNode.html">LocalBuilderNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1RangeNode.html">RangeNode</a> ( [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1detail_1_1AttrNonDefaultVisitor.html">AttrNonDefaultVisitor</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1EnvFunc.html">EnvFunc</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1LocalRunner.html">LocalRunner</a> (<a class="el" href="namespacetvm_1_1a [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1detail_1_1AttrNopEntry.html">AttrNopEntry</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1EnvFuncNode.html">EnvFuncNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1LocalRunnerNode.html">LocalRunnerNode</a> (<a class="el" href="namespacetvm_1_1au [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1detail_1_1AttrNormalVisitor.html">AttrNormalVisitor</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1EQ.html">EQ</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1LRNAttrs.html">LRNAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1AttrPattern.html">AttrPattern</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1EQNode.html">EQNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LT.html">LT</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)  &# [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1AttrPatternNode.html">AttrPatternNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1Error.html">Error</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1LTNode.html">LTNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   < [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1AttrRegistryMap.html">AttrRegistryMap</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1ErrorBuilder.html">ErrorBuilder</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_M"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  M  </div></td></tr [...]
+</td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1RecordReaderNode.html">RecordReaderNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1TensorComputeOp.html">TensorComputeOp</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td></tr>
+<tr><td valign="top"><a class="el" href="classtvm_1_1AttrRegistryMapContainerMap.html">AttrRegistryMapContainerMap</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1ErrorReporter.html">ErrorReporter</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1RecordToFile.html">RecordToFile</a> (<a class="el" href="namespacetvm_1_1aut [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1Attrs.html">Attrs</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Evaluate.html">Evaluate</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1Map.html">Map</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="clas [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1AttrsNode.html">AttrsNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1EvaluateNode.html">EvaluateNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1MapNode.html">MapNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"> [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1detail_1_1AttrsSEqualVisitor.html">AttrsSEqualVisitor</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1vm_1_1Executable.html">Executable</a> (<a class="el" href="namespacetvm_1_1runtime_1_1vm.html">tvm::runtime::vm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1Match.html">Match</a> (<a class="el [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1detail_1_1AttrsSHashVisitor.html">AttrsSHashVisitor</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ExpandDimsAttrs.html">ExpandDimsAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1MatchNode.html">MatchNode</a> (<a class="el" hre [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1AttrStmt.html">AttrStmt</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1tir_1_1ExprDeepEqual.html">ExprDeepEqual</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1MatrixSetDiagAttrs.html">MatrixSetDiagAttrs</a> (<a class="el" href="namespacetvm_1_ [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1AttrStmtNode.html">AttrStmtNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1ExprFunctor.html">ExprFunctor</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Max.html">Max</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)  [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1detail_1_1AttrTriggerNonDefaultEntry.html">AttrTriggerNonDefaultEntry</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ExprFunctor.html">ExprFunctor</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1MaxNode.html">MaxNode</a> (<a class="el" [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1AttrVisitor.html">AttrVisitor</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ExprFunctor_3_01R_07const_01Expr_01_6n_00_01Args_8_8_8_08_4.html">ExprFunctor< R(const Expr &n, Args...)></a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1MaxPool1DA [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1AutoSchedulerLayoutTransformAttrs.html">AutoSchedulerLayoutTransformAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1ExprFunctor_3_01R_07const_01PrimExpr_01_6n_00_01Args_8_8_8_08_4.html">ExprFunctor< R(const PrimExpr &n, Args...)></a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </ [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1AvgPool1DAttrs.html">AvgPool1DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1ExprMutator.html">ExprMutator</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1MaxPool3DAttrs.html">MaxPool3DAttrs</a> (<a class="el" href="namespace [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1AvgPool2DAttrs.html">AvgPool2DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ExprMutator.html">ExprMutator</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureCallback.html">MeasureCallback</a> (<a class="el [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1AvgPool3DAttrs.html">AvgPool3DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ExprPattern.html">ExprPattern</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureCallbackNode.html">MeasureCallbackNode</a> (<a c [...]
<tr><td rowspan="2" valign="bottom"><a name="letter_B"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  B  </div></td></tr></table>
-</td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ExprPattern.html">ExprPattern</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureInput.html">MeasureInput</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1RefValueObj.html">RefValueObj</a> (<a c [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ExprPatternNode.html">ExprPatternNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureInputNode.html">MeasureInputNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1RefWrite.html">RefWrite</ [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1BaseAttrsNode.html">BaseAttrsNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ExprRewriter.html">ExprRewriter</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureResult.html">MeasureResult</a> (<a class="el" href="namespacetvm_1_1auto__ [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1te_1_1BaseComputeOpNode.html">BaseComputeOpNode</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1ExprVisitor.html">ExprVisitor</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureResultNode.html">MeasureResultNode</a> (<a class="el" href [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1BaseExpr.html">BaseExpr</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ExprVisitor.html">ExprVisitor</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1MemoryInfo.html">MemoryInfo</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valig [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1BaseExprNode.html">BaseExprNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1ExternOp.html">ExternOp</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1MemoryInfoNode.html">MemoryInfoNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td vali [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1BaseFunc.html">BaseFunc</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1ExternOpNode.html">ExternOpNode</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1vm_1_1MemoryManager.html">MemoryManager</a> (<a class="el" href="namespacetvm_1_1runtime_1_1vm.html">tvm::ru [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1BaseFuncNode.html">BaseFuncNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_F"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  F  </div></td></tr></table>
-</td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1MeshgridAttrs.html">MeshgridAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1RelayNode.html">RelayNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1TupleGetItemPatternNode.html">TupleGetItemPatternNode</a> (<a class="e [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1BaseTensorType.html">BaseTensorType</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Min.html">Min</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1RelayRefType.html">RelayRefType</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1BaseTensorTypeNode.html">BaseTensorTypeNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1FeatureSet.html">FeatureSet</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1MinNode.html">MinNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)& [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1BaseValueEqual.html">BaseValueEqual</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1FIFOBufferAttrs.html">FIFOBufferAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1MirrorPadAttrs.html">MirrorPadAttrs</a> (<a class="el" href="namespacetvm_1_1rela [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1BaseValueHash.html">BaseValueHash</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1FixedPointMultiplyAttrs.html">FixedPointMultiplyAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1MixedModeMutator.html">MixedModeMutator</a> (<a class="el" href="nam [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1BatchNormAttrs.html">BatchNormAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1SeqStmt_1_1Flattener.html">SeqStmt::Flattener</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1MixedModeVisitor.html">MixedModeVisitor</a> (<a class=" [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1BatchToSpaceNDAttrs.html">BatchToSpaceNDAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1FloatImm.html">FloatImm</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Mod.html">Mod</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)  [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1BiasAddAttrs.html">BiasAddAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1FloatImmNode.html">FloatImmNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1ModNode.html">ModNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>) &# [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BijectiveLayout.html">BijectiveLayout</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1FloorDiv.html">FloorDiv</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1ModularSet.html">ModularSet</a> (<a class="el" href="namespacetvm_1_1arith.html">t [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BijectiveLayoutNode.html">BijectiveLayoutNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1FloorDivNode.html">FloorDivNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1ModularSetAnalyzer.html">ModularSetAnalyzer</a> (<a class="el" hre [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1BinaryConv2DAttrs.html">BinaryConv2DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1FloorMod.html">FloorMod</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1ModularSetNode.html">ModularSetNode</a> (<a class="el" href="namespacet [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1BinaryDenseAttrs.html">BinaryDenseAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1FloorModNode.html">FloorModNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1Module.html">Module</a> (<a class="el" href="namespacetvm_1_1ru [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BinaryOpNode.html">BinaryOpNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1FollowFusedSplitStep.html">FollowFusedSplitStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1ModuleNode.html">ModuleNode [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1BitPackAttrs.html">BitPackAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1FollowFusedSplitStepNode.html">FollowFusedSplitStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Mul.html">Mul</a [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1Bool.html">Bool</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1FollowSplitStep.html">FollowSplitStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1MulNode.html">MulNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Broadcast.html">Broadcast</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1FollowSplitStepNode.html">FollowSplitStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1MultiBoxPriorAttrs.html">MultiBoxPri [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BroadcastNode.html">BroadcastNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1For.html">For</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1MultiBoxTransformLocAttrs.html">MultiBoxTransformLocAttrs</a> (<a class="el" href="namespacetvm [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1vm_1_1Buffer.html">Buffer</a> (<a class="el" href="namespacetvm_1_1runtime_1_1vm.html">tvm::runtime::vm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1ForNode.html">ForNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_N"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">&# [...]
-</td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1RfactorStep.html">RfactorStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="structTVMPackedFunc.html">TVMPackedFunc</a>   </td></tr>
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Buffer.html">Buffer</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1micro__rpc_1_1FrameBuffer.html">FrameBuffer</a> (<a class="el" href="namespacetvm_1_1runtime_1_1micro__rpc.html">tvm::runtime::micro_rpc</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1RfactorStepNode.html">RfactorStep [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BufferLoad.html">BufferLoad</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1micro__rpc_1_1Framer.html">Framer</a> (<a class="el" href="namespacetvm_1_1runtime_1_1micro__rpc.html">tvm::runtime::micro_rpc</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1NDArray.html">NDArray</a> (<a class="el" hr [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BufferLoadNode.html">BufferLoadNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1StringObj_1_1FromStd.html">StringObj::FromStd</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1NdarraySizeAttrs.html">NdarraySizeAttrs</a> (<a c [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BufferNode.html">BufferNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1Function.html">Function</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1NE.html">NE</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BufferRealize.html">BufferRealize</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1FunctionNode.html">FunctionNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1NENode.html">NENode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BufferRealizeNode.html">BufferRealizeNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1FuncType.html">FuncType</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1NodeFunctor.html">NodeFunctor</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td>< [...]
+</td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ExprPatternNode.html">ExprPatternNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureInput.html">MeasureInput</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1RefWrite.html">RefWrite</a> (<a [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ExprRewriter.html">ExprRewriter</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureInputNode.html">MeasureInputNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1RefWriteNode.html">RefWriteNode [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1BaseAttrsNode.html">BaseAttrsNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1ExprVisitor.html">ExprVisitor</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureResult.html">MeasureResult</a> (<a class="el" href="namespacetvm_1_1auto__schedule [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1te_1_1BaseComputeOpNode.html">BaseComputeOpNode</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ExprVisitor.html">ExprVisitor</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureResultNode.html">MeasureResultNode</a> (<a class="el [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1BaseExpr.html">BaseExpr</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1ExternOp.html">ExternOp</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1MemoryInfo.html">MemoryInfo</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a clas [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1BaseExprNode.html">BaseExprNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1ExternOpNode.html">ExternOpNode</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1MemoryInfoNode.html">MemoryInfoNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td> [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1BaseFunc.html">BaseFunc</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_F"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  F  </div></td></tr></table>
+</td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1vm_1_1MemoryManager.html">MemoryManager</a> (<a class="el" href="namespacetvm_1_1runtime_1_1vm.html">tvm::runtime::vm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1RelayNode.html">RelayNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1TupleGetItemPatternNode.html">TupleGetItemPattern [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1BaseFuncNode.html">BaseFuncNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1MeshgridAttrs.html">MeshgridAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1RelayRefType.html">RelayRefType</a> (<a class="el" href="namespacetvm.html">tvm</a>)   [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1BaseTensorType.html">BaseTensorType</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1FeatureSet.html">FeatureSet</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Min.html">Min</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)    [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1BaseTensorTypeNode.html">BaseTensorTypeNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1FIFOBufferAttrs.html">FIFOBufferAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1MinNode.html">MinNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1BaseValueEqual.html">BaseValueEqual</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1FixedPointMultiplyAttrs.html">FixedPointMultiplyAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1MirrorPadAttrs.html">MirrorPadAttrs</a> (<a class="el" href="name [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1BaseValueHash.html">BaseValueHash</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1SeqStmt_1_1Flattener.html">SeqStmt::Flattener</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1MixedModeMutator.html">MixedModeMutator</a> (<a class="el" href="namespacetvm_1_1re [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1BatchNormAttrs.html">BatchNormAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1FloatImm.html">FloatImm</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1MixedModeVisitor.html">MixedModeVisitor</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1BatchToSpaceNDAttrs.html">BatchToSpaceNDAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1FloatImmNode.html">FloatImmNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Mod.html">Mod</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)&# [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1BiasAddAttrs.html">BiasAddAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1FloorDiv.html">FloorDiv</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1ModNode.html">ModNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</ [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BijectiveLayout.html">BijectiveLayout</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1FloorDivNode.html">FloorDivNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1ModularSet.html">ModularSet</a> (<a class="el" href="namespacetvm_1_1arith [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BijectiveLayoutNode.html">BijectiveLayoutNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1FloorMod.html">FloorMod</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1ModularSetAnalyzer.html">ModularSetAnalyzer</a> (<a class="el" href="names [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1BinaryConv2DAttrs.html">BinaryConv2DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1FloorModNode.html">FloorModNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1ModularSetNode.html">ModularSetNode</a> (<a class="el" href="na [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1BinaryDenseAttrs.html">BinaryDenseAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1FollowFusedSplitStep.html">FollowFusedSplitStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1Module.html" [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BinaryOpNode.html">BinaryOpNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1FollowFusedSplitStepNode.html">FollowFusedSplitStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1ModuleNode.html">Mo [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1BitPackAttrs.html">BitPackAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1FollowSplitStep.html">FollowSplitStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Mul.html">Mul</a> (<a class="el" h [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1Bool.html">Bool</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1FollowSplitStepNode.html">FollowSplitStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1MulNode.html">MulNode</a> (<a class="el" href="namespacetvm_1_1tir.h [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Broadcast.html">Broadcast</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1For.html">For</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1MultiBoxPriorAttrs.html">MultiBoxPriorAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::r [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BroadcastNode.html">BroadcastNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1ForNode.html">ForNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1MultiBoxTransformLocAttrs.html">MultiBoxTransformLocAttrs</a> (<a class="el" href="name [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1vm_1_1Buffer.html">Buffer</a> (<a class="el" href="namespacetvm_1_1runtime_1_1vm.html">tvm::runtime::vm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1micro__rpc_1_1FrameBuffer.html">FrameBuffer</a> (<a class="el" href="namespacetvm_1_1runtime_1_1micro__rpc.html">tvm::runtime::micro_rpc</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_N"></a><table border="0" [...]
+</td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1RfactorStepNode.html">RfactorStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="structTVMParallelGroupEnv.html">TVMParallelGroupEnv</a>   </td></tr>
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Buffer.html">Buffer</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1micro__rpc_1_1Framer.html">Framer</a> (<a class="el" href="namespacetvm_1_1runtime_1_1micro__rpc.html">tvm::runtime::micro_rpc</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ROIAlignAttrs.html">ROIAlignAttrs</a> (<a class="el" [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BufferLoad.html">BufferLoad</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1StringObj_1_1FromStd.html">StringObj::FromStd</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1NDArray.html">NDArray</a> (<a class="el" href="namespace [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BufferLoadNode.html">BufferLoadNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1Function.html">Function</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1NdarraySizeAttrs.html">NdarraySizeAttrs</a> (<a class="el" href="namespacetvm [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BufferNode.html">BufferNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1FunctionNode.html">FunctionNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1NE.html">NE</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>) [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BufferRealize.html">BufferRealize</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1FuncType.html">FuncType</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1NENode.html">NENode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td> [...]
</td><td valign="top"><a class="el" href="classtvm_1_1TypeCall.html">TypeCall</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td></tr>
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BufferStore.html">BufferStore</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1FuncTypeNode.html">FuncTypeNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1NodeFunctor_3_01R_07const_01ObjectRef_01_6n_00_01Args_8_8_8_08_4.html">NodeFunctor< R(const ObjectRef & [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BufferStoreNode.html">BufferStoreNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1Fuse.html">Fuse</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1NonMaximumSuppressionAttrs.html">NonMaximumSuppressionAttrs</a> (<a class="el" href="namespa [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1BuildResult.html">BuildResult</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1FuseNode.html">FuseNode</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Not.html">Not</a> (<a class="el" href="namespacetvm_1_1tir.h [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1BuildResultNode.html">BuildResultNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1FuseStep.html">FuseStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1NotNode.html"> [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BufferRealizeNode.html">BufferRealizeNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1FuncTypeNode.html">FuncTypeNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1NodeFunctor.html">NodeFunctor</a> (<a class="el" href="namespacetvm.html">tvm</a>)   [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BufferStore.html">BufferStore</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1Fuse.html">Fuse</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1NodeFunctor_3_01R_07const_01ObjectRef_01_6n_00_01Args_8_8_8_08_4.html">NodeFunctor< R(const ObjectRef & [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1BufferStoreNode.html">BufferStoreNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1FuseNode.html">FuseNode</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1NonMaximumSuppressionAttrs.html">NonMaximumSuppressionAttrs</a> (<a class="el" href= [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1BuildResult.html">BuildResult</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1FuseStep.html">FuseStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Not.html">Not</a> (<a [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1BuildResultNode.html">BuildResultNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1FuseStepNode.html">FuseStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1NotNod [...]
<tr><td rowspan="2" valign="bottom"><a name="letter_C"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  C  </div></td></tr></table>
-</td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1FuseStepNode.html">FuseStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1NullOptType.html">NullOptType</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ScatterAttrs.html">ScatterAttrs< [...]
-<tr><td rowspan="2" valign="bottom"><a name="letter_G"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  G  </div></td></tr></table>
-</td><td rowspan="2" valign="bottom"><a name="letter_O"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  O  </div></td></tr></table>
-</td><td valign="top"><a class="el" href="classtvm_1_1te_1_1Schedule.html">Schedule</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1TypedEnvFunc.html">TypedEnvFunc</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td></tr>
-<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1CacheReadStep.html">CacheReadStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1ScheduleNode.html">ScheduleNode</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1TypedEnvFunc_3_01R_07Args_8_8_8_08_4.html">TypedEnvFunc [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1CacheReadStepNode.html">CacheReadStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1GatherAttrs.html">GatherAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1ObjAllocatorBase.html">ObjAl [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1CacheWriteStep.html">CacheWriteStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1GE.html">GE</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1Object.html">Object</a> (<a class="el" href="namespacetvm_1 [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1CacheWriteStepNode.html">CacheWriteStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1GenericFunc.html">GenericFunc</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1ObjectEqual.html">ObjectEqual</a> (<a class="el" hr [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Call.html">Call</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1GenericFuncNode.html">GenericFuncNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1ObjectHash.html">ObjectHash</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)  [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1Call.html">Call</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1GENode.html">GENode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1ObjectPtr.html">ObjectPtr</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)&# [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1CallNode.html">CallNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1GetValidCountsAttrs.html">GetValidCountsAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1ObjectPtrEqual.html">ObjectPtrEqual</a> (<a class="el" href="nam [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1CallNode.html">CallNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1GlobalPool2DAttrs.html">GlobalPool2DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1ObjectPtrHash.html">ObjectPtrHash</a> (<a class="el" href="nam [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1CallPattern.html">CallPattern</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1GlobalTypeVar.html">GlobalTypeVar</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">ObjectRef</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runti [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1CallPatternNode.html">CallPatternNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1GlobalTypeVarNode.html">GlobalTypeVarNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1ObjectTypeChecker.html">ObjectTypeChecker</a> (<a class="el" href="namespa [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1arith_1_1CanonicalSimplifier.html">CanonicalSimplifier</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1GlobalVar.html">GlobalVar</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1ObjectTypeChecker_3_01Array_3_01T_01_4_01_4.html">ObjectTypeChecker< Array< [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Cast.html">Cast</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1GlobalVarNode.html">GlobalVarNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1ObjectTypeChecker_3_01Map_3_01K_00_01V_01_4_01_4.html">ObjectTypeChecker< Map< K, V > ></a> (<a cl [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1CastAttrs.html">CastAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1GridSampleAttrs.html">GridSampleAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1OnDeviceAttrs.html">OnDeviceAttrs</a> (<a class="el" href="namesp [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1CastHintAttrs.html">CastHintAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1GroupNormAttrs.html">GroupNormAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1OneHotAttrs.html">OneHotAttrs</a> (<a class="el" href="name [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1CastNode.html">CastNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1GT.html">GT</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1Op.html">Op</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1Clause.html">Clause</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1GTNode.html">GTNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1OpAttrMap.html">OpAttrMap</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td va [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ClauseNode.html">ClauseNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_H"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  H  </div></td></tr></table>
-</td><td valign="top"><a class="el" href="classtvm_1_1te_1_1Operation.html">Operation</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1SeqStmt.html">SeqStmt</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1TypePattern.html">TypePattern</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>) [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ClipAttrs.html">ClipAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1OperationNode.html">OperationNode</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1SeqStmtNode.html">SeqStmtNode</a> (<a class="el" href="namespacetvm_1_1tir.html">t [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1Closure.html">Closure</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1SimpleObjAllocator_1_1Handler.html">SimpleObjAllocator::Handler</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1OpImplementation.html">OpImplement [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1ClosureObj.html">ClosureObj</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1SEqualReducer_1_1Handler.html">SEqualReducer::Handler</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1OpImplementationNode.html">OpImplementationNode</a> (<a class="el" hr [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1CmpOpNode.html">CmpOpNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1SHashReducer_1_1Handler.html">SHashReducer::Handler</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1OpNode.html">OpNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1CommReducer.html">CommReducer</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structdmlc_1_1serializer_1_1Handler_3_01DLContext_01_4.html">Handler< DLContext ></a> (<a class="el" href="namespacedmlc_1_1serializer.html">dmlc::serializer</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1OpRegEntry.html">OpRegEntry</a> (<a cl [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1CommReducerNode.html">CommReducerNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structdmlc_1_1serializer_1_1Handler_3_01DLDataType_01_4.html">Handler< DLDataType ></a> (<a class="el" href="namespacedmlc_1_1serializer.html">dmlc::serializer</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1OpSpecialization.ht [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1CompilerAttrs.html">CompilerAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1HardwareParams.html">HardwareParams</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1OpSpecializationNode.html">OpSpe [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeAtStep.html">ComputeAtStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1HardwareParamsNode.html">HardwareParamsNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeAtStepNode.html">ComputeAtStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1HybridOp.html">HybridOp</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1OpStrategyNode.html">OpStrategyNode</a> (<a cl [...]
+</td><td rowspan="2" valign="bottom"><a name="letter_G"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  G  </div></td></tr></table>
+</td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1NullOptType.html">NullOptType</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ScatterNDAttrs.html">ScatterNDAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1TypedEnvFunc.html">TypedEnvFunc</a> (<a class="el" href="namespace [...]
+<tr><td rowspan="2" valign="bottom"><a name="letter_O"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  O  </div></td></tr></table>
+</td><td valign="top"><a class="el" href="classtvm_1_1te_1_1Schedule.html">Schedule</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1TypedEnvFunc_3_01R_07Args_8_8_8_08_4.html">TypedEnvFunc< R(Args...)></a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td></tr>
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1CacheReadStep.html">CacheReadStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1GatherAttrs.html">GatherAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1ScheduleNode.html">ScheduleNode</a> (<a c [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1CacheReadStepNode.html">CacheReadStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1GE.html">GE</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1ObjAllocatorBase.html">ObjAllocatorBase</a> (<a class [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1CacheWriteStep.html">CacheWriteStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1GenericFunc.html">GenericFunc</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1Object.html">Object</a> (<a class="el" href="namespacetvm_1_ [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1CacheWriteStepNode.html">CacheWriteStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1GenericFuncNode.html">GenericFuncNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1ObjectEqual.html">ObjectEqual</a> (<a class [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Call.html">Call</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1GENode.html">GENode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1ObjectHash.html">ObjectHash</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)  [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1Call.html">Call</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1GetValidCountsAttrs.html">GetValidCountsAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1ObjectPtr.html">ObjectPtr</a> (<a class="el" href="namespacetvm_1_1 [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1CallNode.html">CallNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1GlobalPool2DAttrs.html">GlobalPool2DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1ObjectPtrEqual.html">ObjectPtrEqual</a> (<a class="el" href="namespa [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1CallNode.html">CallNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1GlobalTypeVar.html">GlobalTypeVar</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1ObjectPtrHash.html">ObjectPtrHash</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::ru [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1CallPattern.html">CallPattern</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1GlobalTypeVarNode.html">GlobalTypeVarNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">ObjectRef</a> (<a class="el" href="namespacetvm_1_1runtime.html">tv [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1CallPatternNode.html">CallPatternNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1GlobalVar.html">GlobalVar</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1ObjectTypeChecker.html">ObjectTypeChecker</a> (<a class="el" href="namespacetvm_1_1runtime [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1arith_1_1CanonicalSimplifier.html">CanonicalSimplifier</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1GlobalVarNode.html">GlobalVarNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1ObjectTypeChecker_3_01Array_3_01T_01_4_01_4.html">ObjectTypeChecker< Ar [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Cast.html">Cast</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1GridSampleAttrs.html">GridSampleAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1ObjectTypeChecker_3_01Map_3_01K_00_01V_01_4_01_4.html">ObjectTypeChecker< Map [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1CastAttrs.html">CastAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1GroupNormAttrs.html">GroupNormAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1OnDeviceAttrs.html">OnDeviceAttrs</a> (<a class="el" href="namespac [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1CastHintAttrs.html">CastHintAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1GT.html">GT</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1OneHotAttrs.html">OneHotAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::re [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1CastNode.html">CastNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1GTNode.html">GTNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1Op.html">Op</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a cl [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1Clause.html">Clause</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_H"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  H  </div></td></tr></table>
+</td><td valign="top"><a class="el" href="classtvm_1_1OpAttrMap.html">OpAttrMap</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1detail_1_1SelectVisitAttrs_3_01T_00_01TraitName_00_01false_01_4.html">SelectVisitAttrs< T, TraitName, false ></a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1TypePattern.html">Ty [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ClauseNode.html">ClauseNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1Operation.html">Operation</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1SeqStmt.html">SeqStmt</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>) [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ClipAttrs.html">ClipAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1SimpleObjAllocator_1_1Handler.html">SimpleObjAllocator::Handler</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1OperationNode.html">OperationNode</a> [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1Closure.html">Closure</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1SEqualReducer_1_1Handler.html">SEqualReducer::Handler</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1OpImplementation.html">OpImplementation</a> (<a class="el" href="namespacet [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1ClosureObj.html">ClosureObj</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1SHashReducer_1_1Handler.html">SHashReducer::Handler</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1OpImplementationNode.html">OpImplementationNode</a> (<a class="el" href [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1CmpOpNode.html">CmpOpNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structdmlc_1_1serializer_1_1Handler_3_01DLContext_01_4.html">Handler< DLContext ></a> (<a class="el" href="namespacedmlc_1_1serializer.html">dmlc::serializer</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1OpNode.html">OpNode</a> (<a class="el" hre [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1CommReducer.html">CommReducer</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structdmlc_1_1serializer_1_1Handler_3_01DLDataType_01_4.html">Handler< DLDataType ></a> (<a class="el" href="namespacedmlc_1_1serializer.html">dmlc::serializer</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1OpRegEntry.html">OpRegEntry</a> (<a [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1tir_1_1CommReducerNode.html">CommReducerNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1HardwareParams.html">HardwareParams</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1OpSpecialization.html">OpSpecializa [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1CompilerAttrs.html">CompilerAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1HardwareParamsNode.html">HardwareParamsNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1OpSpecializationNode.htm [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeAtStep.html">ComputeAtStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1HybridOp.html">HybridOp</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1OpStrategy.html">OpStrategy</a> (<a class="el" href="n [...]
</td></tr>
-<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeDAG.html">ComputeDAG</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1HybridOpNode.html">HybridOpNode</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1Optional.html">Optional</a> (<a class="el" href="n [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeDAGNode.html">ComputeDAGNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_I"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  I  </div></td></tr></table>
-</td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Or.html">Or</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1SHashReducer.html">SHashReducer</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1micro__rpc_1_1Unframer.html">Unframer</a> (<a class="el" href="namespacetvm_1_1runtime_1_1micro__rpc.html">tvm::runt [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeInlineStep.html">ComputeInlineStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1OrNode.html">OrNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Shuffle.html">Shuffle</a> (<a class="el" href="na [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeInlineStepNode.html">ComputeInlineStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1Id.html">Id</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_P"></a><table border="0" cellspacing="0" cellpaddin [...]
-</td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1ShuffleNode.html">ShuffleNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1UpSamplingAttrs.html">UpSamplingAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td></tr>
-<tr><td valign="top"><a class="el" href="classtvm_1_1te_1_1ComputeOp.html">ComputeOp</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1IdNode.html">IdNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1SimpleObjAllocator.html">SimpleObjAllocator</a> (<a class="el" href="namespacetvm_1_1runtime. [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeAtStepNode.html">ComputeAtStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1HybridOpNode.html">HybridOpNode</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1OpStrategyNode.html">OpStrategyNode</a [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeDAG.html">ComputeDAG</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_I"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  I  </div></td></tr></table>
+</td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1Optional.html">Optional</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ShapePatternNode.html">ShapePatternNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1micro__rpc_1_1Unframer.html">Unframer</a> (<a class="el" hr [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeDAGNode.html">ComputeDAGNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1Or.html">Or</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1SHashReducer.html">SHashReducer</a> (<a class="el" href="namespacetvm. [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeInlineStep.html">ComputeInlineStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1Id.html">Id</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1OrNode.html">OrNode</a> (<a class="el" href="namesp [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeInlineStepNode.html">ComputeInlineStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1IdNode.html">IdNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_P"></a><table border="0" cellspacing="0" ce [...]
+</td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1ShuffleNode.html">ShuffleNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td rowspan="2" valign="bottom"><a name="letter_V"></a><table border="0" cellspacing="0" cellpadding="0"><tr><td><div class="ah">  V  </div></td></tr></table>
</td></tr>
-<tr><td valign="top"><a class="el" href="classtvm_1_1te_1_1ComputeOpNode.html">ComputeOpNode</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1If.html">If</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1PackedFunc.html">PackedFunc</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runti [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeRootStep.html">ComputeRootStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1IfNode.html">IfNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1PackedFuncValueConverter.html">PackedFuncV [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeRootStepNode.html">ComputeRootStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1IfThenElse.html">IfThenElse</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1PackedFuncValueConverter_3_01Opt [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ConcatenateAttrs.html">ConcatenateAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1IfThenElseNode.html">IfThenElseNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1PackedFuncValueConverter_3_01PrimExpr_01_4.html">PackedFun [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1Constant.html">Constant</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1detail_1_1ImplSEqualReduce.html">ImplSEqualReduce</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1PackedFuncValueConverter_3_01tvm_1_1Bool_01_4.html">PackedFun [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ConstantNode.html">ConstantNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1detail_1_1ImplSEqualReduce_3_01T_00_01true_01_4.html">ImplSEqualReduce< T, true ></a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1PackedFuncValue [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ConstantPattern.html">ConstantPattern</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1detail_1_1ImplSHashReduce.html">ImplSHashReduce</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1PackedFuncValueConverter_3_1_1tvm_1_1runtime_1_1S [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ConstantPatternNode.html">ConstantPatternNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1detail_1_1ImplSHashReduce_3_01T_00_01true_01_4.html">ImplSHashReduce< T, true ></a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1micr [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1arith_1_1ConstIntBound.html">ConstIntBound</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1detail_1_1ImplVisitAttrs.html">ImplVisitAttrs</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1PadAttrs.html">PadAttrs</a> (<a class="el" href="namespac [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1arith_1_1ConstIntBoundAnalyzer.html">ConstIntBoundAnalyzer</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1detail_1_1ImplVisitAttrs_3_01T_00_01true_01_4.html">ImplVisitAttrs< T, true ></a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1transform_1_1 [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1arith_1_1ConstIntBoundNode.html">ConstIntBoundNode</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1IncompleteType.html">IncompleteType</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1transform_1_1PassContext.html">PassContext</a> (<a class="el" href="namespacetvm_1_1tran [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1arith_1_1ConstraintContext.html">ConstraintContext</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1IncompleteTypeNode.html">IncompleteTypeNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1transform_1_1PassContextNode.html">PassContextNode</a> (<a class="el" href="name [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1Constructor.html">Constructor</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1InitOpAttrs.html">InitOpAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1transform_1_1PassInfo.html">PassInfo</a> (<a class="el" href="namespacetvm_1_1transform.html">tvm::transf [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1ConstructorNode.html">ConstructorNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1InplaceArrayBase.html">InplaceArrayBase</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1transform_1_1PassInfoNode.html">PassInfoNode</a> (<a class="el" href="namespacetvm [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ConstructorValue.html">ConstructorValue</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1InstanceNormAttrs.html">InstanceNormAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1transform_1_1PassNode.html">PassNode</a> (<a class="el" hr [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ConstructorValueObj.html">ConstructorValueObj</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1vm_1_1Instruction.html">Instruction</a> (<a class="el" href="namespacetvm_1_1runtime_1_1vm.html">tvm::runtime::vm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1Pattern.html">Pattern</a> (<a cl [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1te_1_1ComputeOp.html">ComputeOp</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1If.html">If</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1SimpleObjAllocator.html">SimpleObjAllocator</a> (<a class="el" href="namespacetvm_1_1runtime.html">tv [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1te_1_1ComputeOpNode.html">ComputeOpNode</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1IfNode.html">IfNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1PackedFunc.html">PackedFunc</a> (<a class="el" href="namespacetvm_1_1runtime.html">tv [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeRootStep.html">ComputeRootStep</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1IfThenElse.html">IfThenElse</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1PackedFuncValueConverter.html">PackedFun [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeRootStepNode.html">ComputeRootStepNode</a> (<a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1tir_1_1IfThenElseNode.html">IfThenElseNode</a> (<a class="el" href="namespacetvm_1_1tir.html">tvm::tir</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1PackedFuncValueConverter [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ConcatenateAttrs.html">ConcatenateAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1detail_1_1ImplSEqualReduce.html">ImplSEqualReduce</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1PackedFuncValueConverter_3_01PrimExpr_01_4.h [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1Constant.html">Constant</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1detail_1_1ImplSEqualReduce_3_01T_00_01true_01_4.html">ImplSEqualReduce< T, true ></a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1PackedFuncValueConverte [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ConstantNode.html">ConstantNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1detail_1_1ImplSHashReduce.html">ImplSHashReduce</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1PackedFuncValueConverter_3_01tvm_1_1Integer_01_4.html"> [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ConstantPattern.html">ConstantPattern</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1detail_1_1ImplSHashReduce_3_01T_00_01true_01_4.html">ImplSHashReduce< T, true ></a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1PackedFuncV [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ConstantPatternNode.html">ConstantPatternNode</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1detail_1_1ImplVisitAttrs.html">ImplVisitAttrs</a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1micro__rpc_1_1PacketFieldSizeBytes.html">Pac [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1arith_1_1ConstIntBound.html">ConstIntBound</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1detail_1_1ImplVisitAttrs_3_01T_00_01true_01_4.html">ImplVisitAttrs< T, true ></a> (<a class="el" href="namespacetvm_1_1detail.html">tvm::detail</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1PadAttrs.html">PadA [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1arith_1_1ConstIntBoundAnalyzer.html">ConstIntBoundAnalyzer</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1IncompleteType.html">IncompleteType</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1transform_1_1Pass.html">Pass</a> (<a class="el" href="namespacetvm_1_1transform. [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1arith_1_1ConstIntBoundNode.html">ConstIntBoundNode</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1IncompleteTypeNode.html">IncompleteTypeNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1transform_1_1PassContext.html">PassContext</a> (<a class="el" href="namespacetvm [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1arith_1_1ConstraintContext.html">ConstraintContext</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1InitOpAttrs.html">InitOpAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1transform_1_1PassContextNode.html">PassContextNode</a> (<a class="el [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1Constructor.html">Constructor</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1InplaceArrayBase.html">InplaceArrayBase</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1transform_1_1PassInfo.html">PassInfo</a> (<a class="el" href="namespacetvm_1_1transform.ht [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1ConstructorNode.html">ConstructorNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1relay_1_1InstanceNormAttrs.html">InstanceNormAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1transform_1_1PassInfoNode.html">PassInfoNode</a> (<a class="el" href="namespacetvm_1_ [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1relay_1_1ConstructorValue.html">ConstructorValue</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="structtvm_1_1runtime_1_1vm_1_1Instruction.html">Instruction</a> (<a class="el" href="namespacetvm_1_1runtime_1_1vm.html">tvm::runtime::vm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1transform_1_1PassNode.html">PassNode</a> (<a cla [...]
</td></tr>
-<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1NDArray_1_1Container.html">NDArray::Container</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntConstraints.html">IntConstraints</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternConstructor.html">PatternConstructor< [...]
-<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1NDArray_1_1ContainerBase.html">NDArray::ContainerBase</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntConstraintsNode.html">IntConstraintsNode</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternConstructorNode.html" [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv1DAttrs.html">Conv1DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntConstraintsTransform.html">IntConstraintsTransform</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternFunctor.html">PatternFunctor</a> (<a cla [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv1DTransposeAttrs.html">Conv1DTransposeAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntConstraintsTransformNode.html">IntConstraintsTransformNode</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternFunctor_3_01R_ [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv2DAttrs.html">Conv2DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1Integer.html">Integer</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternMutator.html">PatternMutator</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>) [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv2DTransposeAttrs.html">Conv2DTransposeAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1InterpreterClosure.html">InterpreterClosure</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternNode.html">PatternNode</a> (<a c [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ConstructorValueObj.html">ConstructorValueObj</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntConstraints.html">IntConstraints</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1Pattern.html">Pattern</a> (<a class="el" href="na [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1NDArray_1_1Container.html">NDArray::Container</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntConstraintsNode.html">IntConstraintsNode</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternConstructor.html">PatternCons [...]
+<tr><td valign="top"><a class="el" href="classtvm_1_1runtime_1_1NDArray_1_1ContainerBase.html">NDArray::ContainerBase</a> (<a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntConstraintsTransform.html">IntConstraintsTransform</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternConstructor [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv1DAttrs.html">Conv1DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntConstraintsTransformNode.html">IntConstraintsTransformNode</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternFunctor.html">PatternFunctor</a> [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv1DTransposeAttrs.html">Conv1DTransposeAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1Integer.html">Integer</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternFunctor_3_01R_07const_01Pattern_01_6n_00_01Args_8_8_8_08_4.html">PatternFunctor [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv2DAttrs.html">Conv2DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1InterpreterClosure.html">InterpreterClosure</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternMutator.html">PatternMutator</a> (<a class="el" hr [...]
</td></tr>
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv2DWinogradAttrs.html">Conv2DWinogradAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1InterpreterClosureObj.html">InterpreterClosureObj</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternTuple.html">PatternTuple</a> [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv2DWinogradNNPACKWeightTransformAttrs.html">Conv2DWinogradNNPACKWeightTransformAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntGroupBounds.html">IntGroupBounds</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1Pattern [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv3DAttrs.html">Conv3DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntGroupBoundsNode.html">IntGroupBoundsNode</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternVar.html">PatternVar</a> (<a class="el" href="name [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv2DTransposeAttrs.html">Conv2DTransposeAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1InterpreterClosureObj.html">InterpreterClosureObj</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternNode.html">PatternNode</a> [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv2DWinogradAttrs.html">Conv2DWinogradAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntGroupBounds.html">IntGroupBounds</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternTuple.html">PatternTuple</a> (<a class="el [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv2DWinogradNNPACKWeightTransformAttrs.html">Conv2DWinogradNNPACKWeightTransformAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntGroupBoundsNode.html">IntGroupBoundsNode</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_ [...]
</td></tr>
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv3DTransposeAttrs.html">Conv3DTransposeAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1IntImm.html">IntImm</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternVarNode.html">PatternVarNode</a> (<a class="el" href="namespacetvm_1_1relay.html" [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv3DWinogradAttrs.html">Conv3DWinogradAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1IntImmNode.html">IntImmNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternVisitor.html">PatternVisitor</a> (<a class="el" href="namespacetvm_1_1relay [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ConvGemmWeightTransformAttrs.html">ConvGemmWeightTransformAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntSet.html">IntSet</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternWildcard.html">PatternWildcard</a> (<a c [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ConvWinogradWeightTransformAttrs.html">ConvWinogradWeightTransformAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntSetAnalyzer.html">IntSetAnalyzer</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternWildcardNode.htm [...]
-<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1CorrelationAttrs.html">CorrelationAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntSetNode.html">IntSetNode</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1PlaceholderOp.html">PlaceholderOp</a> (<a class="el" href="namespa [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv3DAttrs.html">Conv3DAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1IntImm.html">IntImm</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternVar.html">PatternVar</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)  [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv3DTransposeAttrs.html">Conv3DTransposeAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1IntImmNode.html">IntImmNode</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternVarNode.html">PatternVarNode</a> (<a class="el" href="namespacetvm_1_1rel [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1Conv3DWinogradAttrs.html">Conv3DWinogradAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntSet.html">IntSet</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternVisitor.html">PatternVisitor</a> (<a class="el" href="name [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ConvGemmWeightTransformAttrs.html">ConvGemmWeightTransformAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntSetAnalyzer.html">IntSetAnalyzer</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternWildcard.html">PatternWi [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1ConvWinogradWeightTransformAttrs.html">ConvWinogradWeightTransformAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1arith_1_1IntSetNode.html">IntSetNode</a> (<a class="el" href="namespacetvm_1_1arith.html">tvm::arith</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1relay_1_1PatternWildcardNode.html">Patte [...]
+<tr><td valign="top"><a class="el" href="structtvm_1_1relay_1_1CorrelationAttrs.html">CorrelationAttrs</a> (<a class="el" href="namespacetvm_1_1relay.html">tvm::relay</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1IRModule.html">IRModule</a> (<a class="el" href="namespacetvm.html">tvm</a>)   </td><td valign="top"><a class="el" href="classtvm_1_1te_1_1PlaceholderOp.html">PlaceholderOp</a> (<a class="el" href="namespacetvm_1_1te.html">tvm::te</a> [...]
<tr><td></td><td></td><td></td><td></td><td></td></tr>
</table>
<div class="qindex"><a class="qindex" href="#letter_A">A</a> | <a class="qindex" href="#letter_B">B</a> | <a class="qindex" href="#letter_C">C</a> | <a class="qindex" href="#letter_D">D</a> | <a class="qindex" href="#letter_E">E</a> | <a class="qindex" href="#letter_F">F</a> | <a class="qindex" href="#letter_G">G</a> | <a class="qindex" href="#letter_H">H</a> | <a class="qindex" href="#letter_I">I</a> |& [...]
diff --git a/docs/api/doxygen/classtvm_1_1BaseAttrsNode.html b/docs/api/doxygen/classtvm_1_1BaseAttrsNode.html
index 8732de8..2af0b84 100644
--- a/docs/api/doxygen/classtvm_1_1BaseAttrsNode.html
+++ b/docs/api/doxygen/classtvm_1_1BaseAttrsNode.html
@@ -104,7 +104,7 @@ var searchBox = new SearchBox("searchBox", "search",false,'Search');
<p>Inherits Object.</p>
-<p>Inherited by <a class="el" href="classtvm_1_1AttrsNode.html">tvm::AttrsNode< AdaptivePool2DAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html">tvm::AttrsNode< AdaptivePool3DAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html">tvm::AttrsNode< AffineGridAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html">tvm::AttrsNode< AllocStorageAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html">tvm::AttrsNode< AllocTensorAttrs ></a>, [...]
+<p>Inherited by <a class="el" href="classtvm_1_1AttrsNode.html">tvm::AttrsNode< AdaptivePool2DAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html">tvm::AttrsNode< AdaptivePool3DAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html">tvm::AttrsNode< AffineGridAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html">tvm::AttrsNode< AllocStorageAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html">tvm::AttrsNode< AllocTensorAttrs ></a>, [...]
<div class="dynheader">
Collaboration diagram for tvm::BaseAttrsNode:</div>
<div class="dyncontent">
@@ -252,7 +252,7 @@ Static Public Attributes</h2></td></tr>
</dl>
<dl class="section note"><dt>Note</dt><dd>This function throws when the required field is not present. </dd></dl>
-<p>Implemented in <a class="el" href="classtvm_1_1AttrsNode.html#acfba199ef906818f35432d2e5532559a">tvm::AttrsNode< DerivedType ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acfba199ef906818f35432d2e5532559a">tvm::AttrsNode< DilateAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acfba199ef906818f35432d2e5532559a">tvm::AttrsNode< Conv2DWinogradNNPACKWeightTransformAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acfba199ef906818f35432d2e5532 [...]
+<p>Implemented in <a class="el" href="classtvm_1_1AttrsNode.html#acfba199ef906818f35432d2e5532559a">tvm::AttrsNode< DerivedType ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acfba199ef906818f35432d2e5532559a">tvm::AttrsNode< DilateAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acfba199ef906818f35432d2e5532559a">tvm::AttrsNode< Conv2DWinogradNNPACKWeightTransformAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acfba199ef906818f35432d2e5532 [...]
</div>
</div>
@@ -314,7 +314,7 @@ template<typename... Args> </div>
<p>Get the field information. </p>
<dl class="section return"><dt>Returns</dt><dd>The fields in the <a class="el" href="classtvm_1_1Attrs.html" title="Managed reference to BaseAttrsNode. ">Attrs</a>. </dd></dl>
-<p>Implemented in <a class="el" href="classtvm_1_1AttrsNode.html#acefe615381b5d881870af9db7ce6a981">tvm::AttrsNode< DerivedType ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acefe615381b5d881870af9db7ce6a981">tvm::AttrsNode< DilateAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acefe615381b5d881870af9db7ce6a981">tvm::AttrsNode< Conv2DWinogradNNPACKWeightTransformAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acefe615381b5d881870af9db7ce6 [...]
+<p>Implemented in <a class="el" href="classtvm_1_1AttrsNode.html#acefe615381b5d881870af9db7ce6a981">tvm::AttrsNode< DerivedType ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acefe615381b5d881870af9db7ce6a981">tvm::AttrsNode< DilateAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acefe615381b5d881870af9db7ce6a981">tvm::AttrsNode< Conv2DWinogradNNPACKWeightTransformAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acefe615381b5d881870af9db7ce6 [...]
</div>
</div>
@@ -398,7 +398,7 @@ template<typename... Args> </div>
</table>
</div><div class="memdoc">
-<p>Reimplemented in <a class="el" href="classtvm_1_1AttrsNode.html#a5da687ced06b4f2dfa04b142a34a9c72">tvm::AttrsNode< DerivedType ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#a5da687ced06b4f2dfa04b142a34a9c72">tvm::AttrsNode< DilateAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#a5da687ced06b4f2dfa04b142a34a9c72">tvm::AttrsNode< Conv2DWinogradNNPACKWeightTransformAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#a5da687ced06b4f2dfa04b142a3 [...]
+<p>Reimplemented in <a class="el" href="classtvm_1_1AttrsNode.html#a5da687ced06b4f2dfa04b142a34a9c72">tvm::AttrsNode< DerivedType ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#a5da687ced06b4f2dfa04b142a34a9c72">tvm::AttrsNode< DilateAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#a5da687ced06b4f2dfa04b142a34a9c72">tvm::AttrsNode< Conv2DWinogradNNPACKWeightTransformAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#a5da687ced06b4f2dfa04b142a3 [...]
</div>
</div>
@@ -433,7 +433,7 @@ template<typename... Args> </div>
</dd>
</dl>
-<p>Implemented in <a class="el" href="classtvm_1_1AttrsNode.html#acd05137ba529ac7cd07053e3da885205">tvm::AttrsNode< DerivedType ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acd05137ba529ac7cd07053e3da885205">tvm::AttrsNode< DilateAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acd05137ba529ac7cd07053e3da885205">tvm::AttrsNode< Conv2DWinogradNNPACKWeightTransformAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acd05137ba529ac7cd07053e3da88 [...]
+<p>Implemented in <a class="el" href="classtvm_1_1AttrsNode.html#acd05137ba529ac7cd07053e3da885205">tvm::AttrsNode< DerivedType ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acd05137ba529ac7cd07053e3da885205">tvm::AttrsNode< DilateAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acd05137ba529ac7cd07053e3da885205">tvm::AttrsNode< Conv2DWinogradNNPACKWeightTransformAttrs ></a>, <a class="el" href="classtvm_1_1AttrsNode.html#acd05137ba529ac7cd07053e3da88 [...]
</div>
</div>
diff --git a/docs/api/doxygen/classtvm_1_1te_1_1Schedule-members.html b/docs/api/doxygen/classtvm_1_1te_1_1Schedule-members.html
index 15032f6..7e7d468 100644
--- a/docs/api/doxygen/classtvm_1_1te_1_1Schedule-members.html
+++ b/docs/api/doxygen/classtvm_1_1te_1_1Schedule-members.html
@@ -101,14 +101,15 @@ var searchBox = new SearchBox("searchBox", "search",false,'Search');
<tr class="even"><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a4991e4eaf1992f45708966c335b92307">copy</a>() const </td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"></td></tr>
<tr><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a638e7b946df3b5d2e2cde3acc0201da0">create_group</a>(const Array< Tensor > &outputs, const Array< Tensor > &inputs, bool include_inputs=false)</td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"></td></tr>
<tr class="even"><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a3fcdec89d8dec36d7b2586b9b0414dfe">normalize</a>()</td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a81883ca270f853eaf92d5f364888b9f4">operator-></a>() const </td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#aa30087792fd6d3b7372d56e7f3947c3f">operator-></a>()</td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a3f63b27dcbddd06c550cc1a5a6562717">operator[]</a>(const Operation &op)</td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a2040189df3b89304a12acce3efff04a6">operator[]</a>(const Tensor &tensor)</td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a34ae85add41bbed0140726d024d08862">rfactor</a>(const Tensor &tensor, const IterVar &axis, int factor_axis=0)</td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a1eb19ccb06835a11edc39ed1410f01af">Schedule</a>()</td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a5f6a71ca3b51eb6cc0b65ee029ff9c96">Schedule</a>(ObjectPtr< Object > n)</td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">explicit</span></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a90fb6686f85d6a0be14fe52de8f48402">Schedule</a>(Array< Operation > ops)</td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a15b572232c5cf46bbeaaae4d83458202">normalize_for_feature_extraction</a>()</td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a81883ca270f853eaf92d5f364888b9f4">operator-></a>() const </td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#aa30087792fd6d3b7372d56e7f3947c3f">operator-></a>()</td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a3f63b27dcbddd06c550cc1a5a6562717">operator[]</a>(const Operation &op)</td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a2040189df3b89304a12acce3efff04a6">operator[]</a>(const Tensor &tensor)</td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a34ae85add41bbed0140726d024d08862">rfactor</a>(const Tensor &tensor, const IterVar &axis, int factor_axis=0)</td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a1eb19ccb06835a11edc39ed1410f01af">Schedule</a>()</td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a5f6a71ca3b51eb6cc0b65ee029ff9c96">Schedule</a>(ObjectPtr< Object > n)</td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">explicit</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a90fb6686f85d6a0be14fe52de8f48402">Schedule</a>(Array< Operation > ops)</td><td class="entry"><a class="el" href="classtvm_1_1te_1_1Schedule.html">tvm::te::Schedule</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
</table></div><!-- contents -->
<!-- start footer part -->
<hr class="footer"/><address class="footer"><small>
diff --git a/docs/api/doxygen/classtvm_1_1te_1_1Schedule.html b/docs/api/doxygen/classtvm_1_1te_1_1Schedule.html
index ae28dad..4101905 100644
--- a/docs/api/doxygen/classtvm_1_1te_1_1Schedule.html
+++ b/docs/api/doxygen/classtvm_1_1te_1_1Schedule.html
@@ -103,13 +103,13 @@ var searchBox = new SearchBox("searchBox", "search",false,'Search');
<div class="dynheader">
Inheritance diagram for tvm::te::Schedule:</div>
<div class="dyncontent">
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+<div class="center"><iframe scrolling="no" frameborder="0" src="classtvm_1_1te_1_1Schedule__inherit__graph.svg" width="188" height="434"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
</div>
</div>
<div class="dynheader">
Collaboration diagram for tvm::te::Schedule:</div>
<div class="dyncontent">
-<div class="center"><iframe scrolling="no" frameborder="0" src="classtvm_1_1te_1_1Schedule__coll__graph.svg" width="146" height="404"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
+<div class="center"><iframe scrolling="no" frameborder="0" src="classtvm_1_1te_1_1Schedule__coll__graph.svg" width="188" height="434"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
</div>
</div>
<table class="memberdecls">
@@ -154,6 +154,9 @@ Public Member Functions</h2></td></tr>
<tr class="memitem:a3fcdec89d8dec36d7b2586b9b0414dfe"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classtvm_1_1te_1_1Schedule.html">Schedule</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a3fcdec89d8dec36d7b2586b9b0414dfe">normalize</a> ()</td></tr>
<tr class="memdesc:a3fcdec89d8dec36d7b2586b9b0414dfe"><td class="mdescLeft"> </td><td class="mdescRight">Normalize the schedule. This is needed before bound inference. Insert necessary <a class="el" href="classtvm_1_1te_1_1RebaseNode.html" title="Rebase the iteration to make min to be 0. This is useful to normalize the Schedule to make every leaf...">RebaseNode</a> to make sure all leaf_iter_vars are in form [0, extent) <a href="#a3fcdec89d8dec36d7b2586b9b0414dfe">More...</a><br /> [...]
<tr class="separator:a3fcdec89d8dec36d7b2586b9b0414dfe"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a15b572232c5cf46bbeaaae4d83458202"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classtvm_1_1te_1_1Schedule.html">Schedule</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a15b572232c5cf46bbeaaae4d83458202">normalize_for_feature_extraction</a> ()</td></tr>
+<tr class="memdesc:a15b572232c5cf46bbeaaae4d83458202"><td class="mdescLeft"> </td><td class="mdescRight">Normalize the schedule for feature extraction in auto-scheduler. This is similar to <code><a class="el" href="classtvm_1_1te_1_1Schedule.html#a3fcdec89d8dec36d7b2586b9b0414dfe" title="Normalize the schedule. This is needed before bound inference. Insert necessary RebaseNode to make su...">Schedule::normalize</a></code>, but we do aggressive simplification to the TE compute with c [...]
+<tr class="separator:a15b572232c5cf46bbeaaae4d83458202"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a81883ca270f853eaf92d5f364888b9f4"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classtvm_1_1te_1_1ScheduleNode.html">ScheduleNode</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1te_1_1Schedule.html#a81883ca270f853eaf92d5f364888b9f4">operator-></a> () const </td></tr>
<tr class="memdesc:a81883ca270f853eaf92d5f364888b9f4"><td class="mdescLeft"> </td><td class="mdescRight">access the internal node container <a href="#a81883ca270f853eaf92d5f364888b9f4">More...</a><br /></td></tr>
<tr class="separator:a81883ca270f853eaf92d5f364888b9f4"><td class="memSeparator" colspan="2"> </td></tr>
@@ -454,6 +457,24 @@ Public Member Functions</h2></td></tr>
</div>
</div>
+<a class="anchor" id="a15b572232c5cf46bbeaaae4d83458202"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="classtvm_1_1te_1_1Schedule.html">Schedule</a> tvm::te::Schedule::normalize_for_feature_extraction </td>
+ <td>(</td>
+ <td class="paramname"></td><td>)</td>
+ <td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Normalize the schedule for feature extraction in auto-scheduler. This is similar to <code><a class="el" href="classtvm_1_1te_1_1Schedule.html#a3fcdec89d8dec36d7b2586b9b0414dfe" title="Normalize the schedule. This is needed before bound inference. Insert necessary RebaseNode to make su...">Schedule::normalize</a></code>, but we do aggressive simplification to the TE compute with const_matrix=True for faster compilation and feature extraction. The resulted schedule may be wrong, but it [...]
+<dl class="section return"><dt>Returns</dt><dd>A normalized schedule, can be same as current one. </dd></dl>
+
+</div>
+</div>
<a class="anchor" id="a81883ca270f853eaf92d5f364888b9f4"></a>
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<div class="contents">
-<h3>tir → runtime Relation</h3><table class="dirtab"><tr class="dirtab"><th class="dirtab">File in include/tvm/tir</th><th class="dirtab">Includes file in include/tvm/runtime</th></tr><tr class="dirtab"><td class="dirtab"><a class="el" href="tir_2expr_8h.html">expr.h</a></td><td class="dirtab"><a class="el" href="c__runtime__api_8h.html">c_runtime_api.h</a></td></tr><tr class="dirtab"><td class="dirtab"><a class="el" href="tir_2expr_8h.html">expr.h</a></td><td class="dirtab"><a clas [...]
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+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1tir_1_1LinkedParam.html#afcf8d4a88447334ea270ca899edc4fb6">LinkedParam</a>(int64_t id,::tvm::runtime::NDArray param)</td><td class="entry"><a class="el" href="classtvm_1_1tir_1_1LinkedParam.html">tvm::tir::LinkedParam</a></td><td class="entry"></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1tir_1_1LinkedParam.html#ad42caab91b39fad58a25c8b8a027a202">TVM_DEFINE_OBJECT_REF_COW_METHOD</a>(LinkedParamNode)</td><td class="entry"><a class="el" href="classtvm_1_1tir_1_1LinkedParam.html">tvm::tir::LinkedParam</a></td><td class="entry"></td></tr>
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+<div class="header">
+ <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> |
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+ <div class="headertitle">
+<div class="title">tvm::tir::LinkedParam Class Reference</div> </div>
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+
+<p>Managed reference to <a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html" title="Describes one parameter that should be linked into the generated module. ">LinkedParamNode</a>.
+ <a href="classtvm_1_1tir_1_1LinkedParam.html#details">More...</a></p>
+
+<p><code>#include <<a class="el" href="tir_2function_8h_source.html">function.h</a>></code></p>
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+<tr class="memitem:afcf8d4a88447334ea270ca899edc4fb6"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1tir_1_1LinkedParam.html#afcf8d4a88447334ea270ca899edc4fb6">LinkedParam</a> (int64_t id,::<a class="el" href="classtvm_1_1runtime_1_1NDArray.html">tvm::runtime::NDArray</a> param)</td></tr>
+<tr class="separator:afcf8d4a88447334ea270ca899edc4fb6"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a7456d8b4a5d674deea337f3033c58bf6"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1tir_1_1LinkedParam.html#a7456d8b4a5d674deea337f3033c58bf6">TVM_DEFINE_OBJECT_REF_METHODS</a> (<a class="el" href="classtvm_1_1tir_1_1LinkedParam.html">LinkedParam</a>, ObjectRef, <a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html">LinkedParamNode</a>)</td></tr>
+<tr class="separator:a7456d8b4a5d674deea337f3033c58bf6"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:ad42caab91b39fad58a25c8b8a027a202"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1tir_1_1LinkedParam.html#ad42caab91b39fad58a25c8b8a027a202">TVM_DEFINE_OBJECT_REF_COW_METHOD</a> (<a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html">LinkedParamNode</a>)</td></tr>
+<tr class="separator:ad42caab91b39fad58a25c8b8a027a202"><td class="memSeparator" colspan="2"> </td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock"><p>Managed reference to <a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html" title="Describes one parameter that should be linked into the generated module. ">LinkedParamNode</a>. </p>
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+ <td>(</td>
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+ <td class="paramname"><em>id</em>, </td>
+ </tr>
+ <tr>
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+ <td></td>
+ <td class="paramtype">::<a class="el" href="classtvm_1_1runtime_1_1NDArray.html">tvm::runtime::NDArray</a> </td>
+ <td class="paramname"><em>param</em> </td>
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+ <td>)</td>
+ <td></td><td></td>
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+ <td>(</td>
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+ <td class="paramname">, </td>
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+ <tr>
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+ <td></td>
+ <td class="paramtype">ObjectRef </td>
+ <td class="paramname">, </td>
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+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html">LinkedParamNode</a> </td>
+ <td class="paramname"> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following file:<ul>
+<li>include/tvm/tir/<a class="el" href="tir_2function_8h_source.html">function.h</a></li>
+</ul>
+</div><!-- contents -->
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+Generated by  <a href="http://www.doxygen.org/index.html">
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+</a> 1.8.11
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diff --git a/docs/api/doxygen/dir_000008_000009.html b/docs/api/doxygen/classtvm_1_1tir_1_1LinkedParamNode-members.html
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+ <ul class="tablist">
+ <li><a href="annotated.html"><span>Class List</span></a></li>
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+ <li><a href="inherits.html"><span>Class Hierarchy</span></a></li>
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<ul>
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+<li class="navelem"><a class="el" href="namespacetvm.html">tvm</a></li><li class="navelem"><a class="el" href="namespacetvm_1_1tir.html">tir</a></li><li class="navelem"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html">LinkedParamNode</a></li> </ul>
</div>
</div><!-- top -->
+<div class="header">
+ <div class="headertitle">
+<div class="title">tvm::tir::LinkedParamNode Member List</div> </div>
+</div><!--header-->
<div class="contents">
-<h3>tir → runtime Relation</h3><table class="dirtab"><tr class="dirtab"><th class="dirtab">File in include/tvm/tir</th><th class="dirtab">Includes file in include/tvm/runtime</th></tr><tr class="dirtab"><td class="dirtab"><a class="el" href="tir_2expr_8h.html">expr.h</a></td><td class="dirtab"><a class="el" href="c__runtime__api_8h.html">c_runtime_api.h</a></td></tr><tr class="dirtab"><td class="dirtab"><a class="el" href="tir_2expr_8h.html">expr.h</a></td><td class="dirtab"><a clas [...]
+
+<p>This is the complete list of members for <a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html">tvm::tir::LinkedParamNode</a>, including all inherited members.</p>
+<table class="directory">
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html#a29dd7785e3afcee515aec95a17b8196a">_type_key</a></td><td class="entry"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html">tvm::tir::LinkedParamNode</a></td><td class="entry"><span class="mlabel">static</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html#a50a451c7791bff35dd56ec5679750a04">id</a></td><td class="entry"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html">tvm::tir::LinkedParamNode</a></td><td class="entry"></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html#a30942ab7814a005b0db62fdd6a629d81">param</a></td><td class="entry"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html">tvm::tir::LinkedParamNode</a></td><td class="entry"></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html#a75b0ffa1ae912ba523a6e64ed5b8d40b">TVM_DECLARE_FINAL_OBJECT_INFO</a>(LinkedParamNode, Object)</td><td class="entry"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html">tvm::tir::LinkedParamNode</a></td><td class="entry"></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html#a950d5caea05f47ef9479727bb9ac7ffe">VisitAttrs</a>(tvm::AttrVisitor *v)</td><td class="entry"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html">tvm::tir::LinkedParamNode</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+</table></div><!-- contents -->
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Generated by  <a href="http://www.doxygen.org/index.html">
diff --git a/docs/api/doxygen/classtvm_1_1tir_1_1LinkedParamNode.html b/docs/api/doxygen/classtvm_1_1tir_1_1LinkedParamNode.html
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+ <li><a href="inherits.html"><span>Class Hierarchy</span></a></li>
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+ <ul>
+<li class="navelem"><a class="el" href="namespacetvm.html">tvm</a></li><li class="navelem"><a class="el" href="namespacetvm_1_1tir.html">tir</a></li><li class="navelem"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html">LinkedParamNode</a></li> </ul>
+</div>
+</div><!-- top -->
+<div class="header">
+ <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> |
+<a href="#pub-attribs">Public Attributes</a> |
+<a href="#pub-static-attribs">Static Public Attributes</a> |
+<a href="classtvm_1_1tir_1_1LinkedParamNode-members.html">List of all members</a> </div>
+ <div class="headertitle">
+<div class="title">tvm::tir::LinkedParamNode Class Reference</div> </div>
+</div><!--header-->
+<div class="contents">
+
+<p>Describes one parameter that should be linked into the generated module.
+ <a href="classtvm_1_1tir_1_1LinkedParamNode.html#details">More...</a></p>
+
+<p><code>#include <<a class="el" href="tir_2function_8h_source.html">function.h</a>></code></p>
+<div class="dynheader">
+Inheritance diagram for tvm::tir::LinkedParamNode:</div>
+<div class="dyncontent">
+<div class="center"><iframe scrolling="no" frameborder="0" src="classtvm_1_1tir_1_1LinkedParamNode__inherit__graph.svg" width="284" height="258"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
+</div>
+</div>
+<div class="dynheader">
+Collaboration diagram for tvm::tir::LinkedParamNode:</div>
+<div class="dyncontent">
+<div class="center"><iframe scrolling="no" frameborder="0" src="classtvm_1_1tir_1_1LinkedParamNode__coll__graph.svg" width="336" height="1155"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
+</div>
+</div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:a950d5caea05f47ef9479727bb9ac7ffe"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html#a950d5caea05f47ef9479727bb9ac7ffe">VisitAttrs</a> (<a class="el" href="classtvm_1_1AttrVisitor.html">tvm::AttrVisitor</a> *v)</td></tr>
+<tr class="separator:a950d5caea05f47ef9479727bb9ac7ffe"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a75b0ffa1ae912ba523a6e64ed5b8d40b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html#a75b0ffa1ae912ba523a6e64ed5b8d40b">TVM_DECLARE_FINAL_OBJECT_INFO</a> (<a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html">LinkedParamNode</a>, Object)</td></tr>
+<tr class="separator:a75b0ffa1ae912ba523a6e64ed5b8d40b"><td class="memSeparator" colspan="2"> </td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-attribs"></a>
+Public Attributes</h2></td></tr>
+<tr class="memitem:a50a451c7791bff35dd56ec5679750a04"><td class="memItemLeft" align="right" valign="top">int64_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html#a50a451c7791bff35dd56ec5679750a04">id</a></td></tr>
+<tr class="memdesc:a50a451c7791bff35dd56ec5679750a04"><td class="mdescLeft"> </td><td class="mdescRight">Unique numeric identifier used by runtimes to lookup this parameter. <a href="#a50a451c7791bff35dd56ec5679750a04">More...</a><br /></td></tr>
+<tr class="separator:a50a451c7791bff35dd56ec5679750a04"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a30942ab7814a005b0db62fdd6a629d81"><td class="memItemLeft" align="right" valign="top">::<a class="el" href="classtvm_1_1runtime_1_1NDArray.html">tvm::runtime::NDArray</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html#a30942ab7814a005b0db62fdd6a629d81">param</a></td></tr>
+<tr class="memdesc:a30942ab7814a005b0db62fdd6a629d81"><td class="mdescLeft"> </td><td class="mdescRight">Parameter data which should get linked into the final module. <a href="#a30942ab7814a005b0db62fdd6a629d81">More...</a><br /></td></tr>
+<tr class="separator:a30942ab7814a005b0db62fdd6a629d81"><td class="memSeparator" colspan="2"> </td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-attribs"></a>
+Static Public Attributes</h2></td></tr>
+<tr class="memitem:a29dd7785e3afcee515aec95a17b8196a"><td class="memItemLeft" align="right" valign="top">static constexpr const char * </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html#a29dd7785e3afcee515aec95a17b8196a">_type_key</a> = "tir.LinkedParam"</td></tr>
+<tr class="separator:a29dd7785e3afcee515aec95a17b8196a"><td class="memSeparator" colspan="2"> </td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock"><p>Describes one parameter that should be linked into the generated module. </p>
+<p>When parameters are to be linked in with generated code (i.e. on target_host-compatible backends), Relay attaches instances of this object to a global TIR function. Code-generators use the information contained in this node to include the parameter data in the generated module. </p>
+</div><h2 class="groupheader">Member Function Documentation</h2>
+<a class="anchor" id="a75b0ffa1ae912ba523a6e64ed5b8d40b"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">tvm::tir::LinkedParamNode::TVM_DECLARE_FINAL_OBJECT_INFO </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classtvm_1_1tir_1_1LinkedParamNode.html">LinkedParamNode</a> </td>
+ <td class="paramname">, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">Object </td>
+ <td class="paramname"> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a class="anchor" id="a950d5caea05f47ef9479727bb9ac7ffe"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">void tvm::tir::LinkedParamNode::VisitAttrs </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classtvm_1_1AttrVisitor.html">tvm::AttrVisitor</a> * </td>
+ <td class="paramname"><em>v</em></td><td>)</td>
+ <td></td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<h2 class="groupheader">Member Data Documentation</h2>
+<a class="anchor" id="a29dd7785e3afcee515aec95a17b8196a"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">constexpr const char* tvm::tir::LinkedParamNode::_type_key = "tir.LinkedParam"</td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a class="anchor" id="a50a451c7791bff35dd56ec5679750a04"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">int64_t tvm::tir::LinkedParamNode::id</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Unique numeric identifier used by runtimes to lookup this parameter. </p>
+
+</div>
+</div>
+<a class="anchor" id="a30942ab7814a005b0db62fdd6a629d81"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">::<a class="el" href="classtvm_1_1runtime_1_1NDArray.html">tvm::runtime::NDArray</a> tvm::tir::LinkedParamNode::param</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Parameter data which should get linked into the final module. </p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following file:<ul>
+<li>include/tvm/tir/<a class="el" href="tir_2function_8h_source.html">function.h</a></li>
+</ul>
+</div><!-- contents -->
+<!-- start footer part -->
+<hr class="footer"/><address class="footer"><small>
+Generated by  <a href="http://www.doxygen.org/index.html">
+<img class="footer" src="doxygen.png" alt="doxygen"/>
+</a> 1.8.11
+</small></address>
+</body>
+</html>
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+<text text-anchor="middle" x="68.5" y="-247" font-family="Helvetica,sans-Serif" font-size="10.00"> </text>
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+<text text-anchor="middle" x="68.5" y="-228" font-family="Helvetica,sans-Serif" font-size="10.00"> </text>
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+<text text-anchor="middle" x="174.5" y="-340.5" font-family="Helvetica,sans-Serif" font-size="10.00"> </text>
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+<text text-anchor="start" x="118" y="-321.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ NDArray()</text>
+<text text-anchor="start" x="118" y="-310.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ NDArray()</text>
+<text text-anchor="start" x="118" y="-299.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ reset()</text>
+<text text-anchor="start" x="118" y="-288.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ use_count()</text>
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+<text text-anchor="start" x="118" y="-266.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ IsContiguous()</text>
+<text text-anchor="start" x="118" y="-255.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ CopyFrom()</text>
+<text text-anchor="start" x="118" y="-244.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ CopyFrom()</text>
+<text text-anchor="start" x="118" y="-233.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ CopyFromBytes()</text>
+<text text-anchor="start" x="118" y="-222.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ CopyTo()</text>
+<text text-anchor="start" x="118" y="-211.5" font-family="Helvetica,sans-Serif" font-size="10.00">and 9 more...</text>
+<text text-anchor="start" x="118" y="-200.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ Empty()</text>
+<text text-anchor="start" x="118" y="-189.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ FromDLPack()</text>
+<text text-anchor="start" x="118" y="-178.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ CopyFromTo()</text>
+<text text-anchor="start" x="118" y="-167.5" font-family="Helvetica,sans-Serif" font-size="10.00"># get_mutable()</text>
+<text text-anchor="start" x="118" y="-156.5" font-family="Helvetica,sans-Serif" font-size="10.00"># FFIDataFromHandle()</text>
+<text text-anchor="start" x="118" y="-145.5" font-family="Helvetica,sans-Serif" font-size="10.00"># FFIDecRef()</text>
+<text text-anchor="start" x="118" y="-134.5" font-family="Helvetica,sans-Serif" font-size="10.00"># FFIGetHandle()</text>
+</a>
+</g>
+</g>
+<!-- Node3->Node1 -->
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+<g id="a_node4"><a xlink:href="classtvm_1_1runtime_1_1ObjectRef.html" target="_top" xlink:title="Base class of all object reference. ">
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+<text text-anchor="start" x="117.5" y="-600.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ _type_is_nullable</text>
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+<text text-anchor="start" x="117.5" y="-581.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ ObjectRef()</text>
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+<text text-anchor="start" x="117.5" y="-559.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ same_as()</text>
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+<text text-anchor="start" x="117.5" y="-526.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ operator<()</text>
+<text text-anchor="start" x="117.5" y="-515.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ defined()</text>
+<text text-anchor="start" x="117.5" y="-504.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ get()</text>
+<text text-anchor="start" x="117.5" y="-493.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ operator->()</text>
+<text text-anchor="start" x="117.5" y="-482.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ unique()</text>
+<text text-anchor="start" x="117.5" y="-471.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ use_count()</text>
+<text text-anchor="start" x="117.5" y="-460.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ as()</text>
+<text text-anchor="start" x="117.5" y="-449.5" font-family="Helvetica,sans-Serif" font-size="10.00"># get_mutable()</text>
+<text text-anchor="start" x="117.5" y="-438.5" font-family="Helvetica,sans-Serif" font-size="10.00"># DowncastNoCheck()</text>
+<text text-anchor="start" x="117.5" y="-427.5" font-family="Helvetica,sans-Serif" font-size="10.00"># FFIClearAfterMove()</text>
+<text text-anchor="start" x="117.5" y="-416.5" font-family="Helvetica,sans-Serif" font-size="10.00"># GetDataPtr()</text>
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+<text text-anchor="start" x="113.5" y="-697.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ operator->()</text>
+<text text-anchor="start" x="113.5" y="-686.5" font-family="Helvetica,sans-Serif" font-size="10.00">and 10 more...</text>
+</a>
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+<!-- Node5->Node4 -->
+<g id="edge4" class="edge"><title>Node5->Node4</title>
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+<polygon fill="white" stroke="none" points="-4,4 -4,-189 209,-189 209,4 -4,4"/>
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+<text text-anchor="start" x="8" y="-37.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ _type_key</text>
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+<text text-anchor="start" x="8" y="-18.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ VisitAttrs()</text>
+<text text-anchor="start" x="8" y="-7.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ TVM_DECLARE_FINAL_OBJECT_INFO()</text>
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+<polyline fill="none" stroke="#bfbfbf" points="79,-165.5 126,-165.5 "/>
+<text text-anchor="middle" x="102.5" y="-153.5" font-family="Helvetica,sans-Serif" font-size="10.00"> </text>
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+<!-- Node2->Node1 -->
+<g id="edge1" class="edge"><title>Node2->Node1</title>
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+<text text-anchor="start" x="8" y="-40.5" font-family="Helvetica,sans-Serif" font-size="10.00">+ TVM_DEFINE_OBJECT_REF</text>
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+<!-- Node2->Node1 -->
+<g id="edge1" class="edge"><title>Node2->Node1</title>
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<tr><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html#ab10baf6f7bcbd6e0e4b295399bc9f3a9">operator-></a>()</td><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html">tvm::transform::PassContext</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
<tr class="even"><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html#a906dadb55586afece28d71d3436fdf1d">PassContext</a>()</td><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html">tvm::transform::PassContext</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
<tr><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html#a8f5f511c2e29991eceff7b1f4883313e">PassContext</a>(ObjectPtr< Object > n)</td><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html">tvm::transform::PassContext</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">explicit</span></td></tr>
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- <tr><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html#a4cddf63528edf5b0554a13a1faa96f3f">Trace</a>(const IRModule &module, const PassInfo &info, bool is_before) const </td><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html">tvm::transform::PassContext</a></td><td class="entry"></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html#a5f399608a6da56a5c91ea6ead8489f69">With< PassContext ></a> class</td><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html">tvm::transform::PassContext</a></td><td class="entry"><span class="mlabel">friend</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html#aff7c0f5f1a1fc6d97fc7769f28bbe92b">PassEnabled</a>(const PassInfo &info) const </td><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html">tvm::transform::PassContext</a></td><td class="entry"></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html#a6f1d1040cc97320414b4690203f87919">RegisterConfigOption</a>(const char *key)</td><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html">tvm::transform::PassContext</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html#a4cddf63528edf5b0554a13a1faa96f3f">Trace</a>(const IRModule &module, const PassInfo &info, bool is_before) const </td><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html">tvm::transform::PassContext</a></td><td class="entry"></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html#a5f399608a6da56a5c91ea6ead8489f69">With< PassContext ></a> class</td><td class="entry"><a class="el" href="classtvm_1_1transform_1_1PassContext.html">tvm::transform::PassContext</a></td><td class="entry"><span class="mlabel">friend</span></td></tr>
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diff --git a/docs/api/doxygen/classtvm_1_1transform_1_1PassContext.html b/docs/api/doxygen/classtvm_1_1transform_1_1PassContext.html
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Collaboration diagram for tvm::transform::PassContext:</div>
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@@ -135,6 +135,9 @@ Public Member Functions</h2></td></tr>
<tr class="memitem:a4cddf63528edf5b0554a13a1faa96f3f"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1transform_1_1PassContext.html#a4cddf63528edf5b0554a13a1faa96f3f">Trace</a> (const <a class="el" href="classtvm_1_1IRModule.html">IRModule</a> &module, const <a class="el" href="classtvm_1_1transform_1_1PassInfo.html">PassInfo</a> &info, bool is_before) const </td></tr>
<tr class="memdesc:a4cddf63528edf5b0554a13a1faa96f3f"><td class="mdescLeft"> </td><td class="mdescRight">Apply the tracing functions of the context to the module, with the info. <a href="#a4cddf63528edf5b0554a13a1faa96f3f">More...</a><br /></td></tr>
<tr class="separator:a4cddf63528edf5b0554a13a1faa96f3f"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:aff7c0f5f1a1fc6d97fc7769f28bbe92b"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1transform_1_1PassContext.html#aff7c0f5f1a1fc6d97fc7769f28bbe92b">PassEnabled</a> (const <a class="el" href="classtvm_1_1transform_1_1PassInfo.html">PassInfo</a> &info) const </td></tr>
+<tr class="memdesc:aff7c0f5f1a1fc6d97fc7769f28bbe92b"><td class="mdescLeft"> </td><td class="mdescRight">Check whether a pass is enabled. <a href="#aff7c0f5f1a1fc6d97fc7769f28bbe92b">More...</a><br /></td></tr>
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Static Public Member Functions</h2></td></tr>
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+ <td class="paramname"><em>info</em></td><td>)</td>
+ <td> const</td>
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+<dl class="params"><dt>Parameters</dt><dd>
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+ </table>
+ </dd>
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