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Posted to commits@tvm.apache.org by tq...@apache.org on 2020/07/28 19:11:07 UTC
[incubator-tvm-site] branch asf-site updated: Docs build at Tue Jul
28 12:10:53 PDT 2020
This is an automated email from the ASF dual-hosted git repository.
tqchen pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-tvm-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new c9dd76f Docs build at Tue Jul 28 12:10:53 PDT 2020
c9dd76f is described below
commit c9dd76fe591ad551985d3be6ecfb689a4633298f
Author: tqchen <tq...@octoml.ai>
AuthorDate: Tue Jul 28 12:10:54 2020 -0700
Docs build at Tue Jul 28 12:10:53 PDT 2020
---
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.../tensor_expr_get_started.py | 0
.../cross_compilation_and_rpc.ipynb | 0
.../relay_quick_start.py | 0
.../tensor_expr_get_started.ipynb | 0
.../cross_compilation_and_rpc.py | 0
docs/_sources/api/links.rst.txt | 4 +-
.../_sources/{ => dev}/frontend/tensorflow.rst.txt | 0
docs/_sources/dev/how_to.rst.txt | 31 +
docs/_sources/dev/index.rst.txt | 16 +-
docs/_sources/dev/virtual_machine.rst.txt | 11 +-
docs/_sources/index.rst.txt | 50 +-
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.../tutorials/autotvm/tune_simple_template.rst.txt | 20 +-
.../tutorials/cross_compilation_and_rpc.rst.txt | 340 --
.../tutorials/dev/sg_execution_times.rst.txt | 6 +-
.../frontend/deploy_model_on_android.rst.txt | 2 +-
.../tutorials/frontend/deploy_prequantized.rst.txt | 4 +-
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docs/_sources/tutorials/frontend/from_onnx.rst.txt | 2 +-
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.../get_started/cross_compilation_and_rpc.rst.txt | 340 ++
.../get_started/relay_quick_start.rst.txt | 366 ++
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.../get_started/tensor_expr_get_started.rst.txt | 476 ++
docs/_sources/tutorials/index.rst.txt | 34 +-
docs/_sources/tutorials/language/reduction.rst.txt | 4 +-
.../tutorials/language/schedule_primitives.rst.txt | 14 +-
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docs/_sources/tutorials/language/tensorize.rst.txt | 8 +-
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docs/_sources/tutorials/optimize/opt_gemm.rst.txt | 20 +-
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docs/_sources/tutorials/relay_quick_start.rst.txt | 366 --
docs/_sources/tutorials/sg_execution_times.rst.txt | 12 -
.../tutorials/tensor_expr_get_started.rst.txt | 476 --
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.../vta/tutorials/sg_execution_times.rst.txt | 6 +-
docs/api/doxygen/annotated.html | 1270 +++--
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...m_1_1auto__scheduler_1_1AnnotationStepNode.html | 399 ++
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..._scheduler_1_1RecordReaderNode__coll__graph.svg | 137 +
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docs/tutorials/frontend/from_coreml.html | 88 +-
docs/tutorials/frontend/from_darknet.html | 88 +-
docs/tutorials/frontend/from_keras.html | 88 +-
docs/tutorials/frontend/from_mxnet.html | 86 +-
docs/tutorials/frontend/from_onnx.html | 98 +-
docs/tutorials/frontend/from_pytorch.html | 90 +-
docs/tutorials/frontend/from_tensorflow.html | 100 +-
docs/tutorials/frontend/from_tflite.html | 90 +-
docs/tutorials/frontend/sg_execution_times.html | 66 +-
docs/tutorials/frontend/using_external_lib.html | 88 +-
.../get_started/cross_compilation_and_rpc.html | 517 ++
docs/tutorials/get_started/relay_quick_start.html | 580 ++
docs/tutorials/get_started/sg_execution_times.html | 254 +
.../get_started/tensor_expr_get_started.html | 586 ++
docs/tutorials/index.html | 164 +-
docs/tutorials/language/extern_op.html | 68 +-
docs/tutorials/language/intrin_math.html | 68 +-
docs/tutorials/language/reduction.html | 76 +-
docs/tutorials/language/scan.html | 68 +-
docs/tutorials/language/schedule_primitives.html | 90 +-
docs/tutorials/language/sg_execution_times.html | 46 +-
docs/tutorials/language/tedd.html | 64 +-
docs/tutorials/language/tensorize.html | 76 +-
docs/tutorials/language/tuple_inputs.html | 96 +-
docs/tutorials/micro/micro_tflite.html | 48 +-
docs/tutorials/micro/sg_execution_times.html | 32 +-
docs/tutorials/optimize/opt_conv_cuda.html | 64 +-
docs/tutorials/optimize/opt_conv_tensorcore.html | 72 +-
docs/tutorials/optimize/opt_gemm.html | 86 +-
.../optimize/opt_matmul_auto_tensorcore.html | 60 +-
docs/tutorials/optimize/sg_execution_times.html | 38 +-
docs/tutorials/relay_quick_start.html | 573 --
docs/tutorials/sg_execution_times.html | 240 -
docs/tutorials/tensor_expr_get_started.html | 579 --
docs/tutorials/topi/intro_topi.html | 56 +-
docs/tutorials/topi/sg_execution_times.html | 32 +-
docs/vta/dev/config.html | 44 +-
docs/vta/dev/hardware.html | 44 +-
docs/vta/dev/index.html | 44 +-
docs/vta/index.html | 46 +-
docs/vta/install.html | 44 +-
docs/vta/tutorials/autotvm/sg_execution_times.html | 32 +-
docs/vta/tutorials/autotvm/tune_relay_vta.html | 232 +-
.../tutorials/frontend/deploy_classification.html | 62 +-
docs/vta/tutorials/frontend/deploy_detection.html | 46 +-
.../vta/tutorials/frontend/sg_execution_times.html | 34 +-
docs/vta/tutorials/index.html | 44 +-
docs/vta/tutorials/matrix_multiply.html | 44 +-
docs/vta/tutorials/optimize/convolution_opt.html | 52 +-
.../tutorials/optimize/matrix_multiply_opt.html | 48 +-
.../vta/tutorials/optimize/sg_execution_times.html | 34 +-
docs/vta/tutorials/sg_execution_times.html | 34 +-
docs/vta/tutorials/vta_get_started.html | 44 +-
1146 files changed, 103951 insertions(+), 41229 deletions(-)
diff --git a/docs/_downloads/a2903d9ade85eae7ce486f80ddaf9cfe/relay_quick_start.ipynb b/docs/_downloads/24a7471da81b18c4ba77d215289aed2f/relay_quick_start.ipynb
similarity index 100%
rename from docs/_downloads/a2903d9ade85eae7ce486f80ddaf9cfe/relay_quick_start.ipynb
rename to docs/_downloads/24a7471da81b18c4ba77d215289aed2f/relay_quick_start.ipynb
diff --git a/docs/_downloads/d3ffd0125acdfc11a8b6c84218d8377d/tensor_expr_get_started.py b/docs/_downloads/37c76200603adf82ebeffc23bdef8d31/tensor_expr_get_started.py
similarity index 100%
rename from docs/_downloads/d3ffd0125acdfc11a8b6c84218d8377d/tensor_expr_get_started.py
rename to docs/_downloads/37c76200603adf82ebeffc23bdef8d31/tensor_expr_get_started.py
diff --git a/docs/_downloads/7630fb4eead0706f214a455190118d17/cross_compilation_and_rpc.ipynb b/docs/_downloads/4dd41316d6ea7ff2b6993aab65428bf5/cross_compilation_and_rpc.ipynb
similarity index 100%
rename from docs/_downloads/7630fb4eead0706f214a455190118d17/cross_compilation_and_rpc.ipynb
rename to docs/_downloads/4dd41316d6ea7ff2b6993aab65428bf5/cross_compilation_and_rpc.ipynb
diff --git a/docs/_downloads/39e437b36375e97c049f64073eade7a6/relay_quick_start.py b/docs/_downloads/6a91d98d4242322072303282a1f2de9c/relay_quick_start.py
similarity index 100%
rename from docs/_downloads/39e437b36375e97c049f64073eade7a6/relay_quick_start.py
rename to docs/_downloads/6a91d98d4242322072303282a1f2de9c/relay_quick_start.py
diff --git a/docs/_downloads/157d346b9435735811846746471aebed/tensor_expr_get_started.ipynb b/docs/_downloads/70a0767409e81bb5aaa9ce4e7a151dec/tensor_expr_get_started.ipynb
similarity index 100%
rename from docs/_downloads/157d346b9435735811846746471aebed/tensor_expr_get_started.ipynb
rename to docs/_downloads/70a0767409e81bb5aaa9ce4e7a151dec/tensor_expr_get_started.ipynb
diff --git a/docs/_downloads/4cb9cb94f36033c7820ba70d890df4a1/cross_compilation_and_rpc.py b/docs/_downloads/cfc40d6a8f25c9fce268b6a4f277d915/cross_compilation_and_rpc.py
similarity index 100%
rename from docs/_downloads/4cb9cb94f36033c7820ba70d890df4a1/cross_compilation_and_rpc.py
rename to docs/_downloads/cfc40d6a8f25c9fce268b6a4f277d915/cross_compilation_and_rpc.py
diff --git a/docs/_sources/api/links.rst.txt b/docs/_sources/api/links.rst.txt
index 8c22cf8..4b8ab4d 100644
--- a/docs/_sources/api/links.rst.txt
+++ b/docs/_sources/api/links.rst.txt
@@ -15,8 +15,8 @@
specific language governing permissions and limitations
under the License.
-Links to API References
-=======================
+Links to Other API References
+=============================
This page contains links to API references that are build with different doc build system.
diff --git a/docs/_sources/frontend/tensorflow.rst.txt b/docs/_sources/dev/frontend/tensorflow.rst.txt
similarity index 100%
rename from docs/_sources/frontend/tensorflow.rst.txt
rename to docs/_sources/dev/frontend/tensorflow.rst.txt
diff --git a/docs/_sources/dev/how_to.rst.txt b/docs/_sources/dev/how_to.rst.txt
new file mode 100644
index 0000000..ff078fc
--- /dev/null
+++ b/docs/_sources/dev/how_to.rst.txt
@@ -0,0 +1,31 @@
+.. Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+.. http://www.apache.org/licenses/LICENSE-2.0
+
+.. Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+
+.. _dev-how-to:
+
+Developer How-To Guide
+======================
+This section contains a collection of tips about how to work on
+various areas of the TVM stack.
+
+.. toctree::
+ :maxdepth: 1
+
+ relay_add_op
+ relay_add_pass
+ relay_bring_your_own_codegen
+ codebase_walkthrough
diff --git a/docs/_sources/dev/index.rst.txt b/docs/_sources/dev/index.rst.txt
index 8852341..9fe8394 100644
--- a/docs/_sources/dev/index.rst.txt
+++ b/docs/_sources/dev/index.rst.txt
@@ -27,7 +27,7 @@ This page is organized as follows:
- The `Logical Architecture Components`_ section describes the logical components.
The sections after are specific guides focused on each logical component, organized
by the component's name.
-- The `How Tos`_ section contains useful tutorials to solve specific development problems.
+- Feel free to also checkout the :ref:`dev-how-to` for useful development tips.
This guide provides a few complementary views of the architecture.
First, we review a single end-to-end compilation flow and discuss the key data structures and the transformations.
@@ -375,19 +375,15 @@ customize the search and plugin their algorithms from the Python binding.
benchmark
-
-How Tos
--------
-This section contains a collection of tips about how to work on
-various areas of the TVM stack.
+Frontends
+---------
+Frontends ingest models from different frameworks into the TVM stack.
+:py:mod:`tvm.relay.frontend` is the namespace for model ingestion APIs.
.. toctree::
:maxdepth: 1
- relay_add_op
- relay_add_pass
- relay_bring_your_own_codegen
- codebase_walkthrough
+ frontend/tensorflow
Security
diff --git a/docs/_sources/dev/virtual_machine.rst.txt b/docs/_sources/dev/virtual_machine.rst.txt
index 5878003..059878f 100644
--- a/docs/_sources/dev/virtual_machine.rst.txt
+++ b/docs/_sources/dev/virtual_machine.rst.txt
@@ -276,11 +276,11 @@ VM.
Currently, three types of objects, ``NDArray``, ``ADT``, and ``Closure`` objects, are used
to represent tensor, tuple/list, and closure data, respectively. More details
for each of them can be found at `include/tvm/runtime/ndarray.h`_,
-`include/tvm/runtime/vm.h`_, and `include/tvm/runtime/container.h`_, respectively.
+`include/tvm/runtime/vm/vm.h`_, and `include/tvm/runtime/container.h`_, respectively.
.. _include/tvm/runtime/ndarray.h: https://github.com/apache/incubator-tvm/blob/master/include/tvm/runtime/ndarray.h
-.. _include/tvm/runtime/vm.h: https://github.com/apache/incubator-tvm/blob/master/include/tvm/runtime/vm.h
+.. _include/tvm/runtime/vm/vm.h: https://github.com/apache/incubator-tvm/blob/master/include/tvm/runtime/vm/vm.h
.. _include/tvm/runtime/container.h: https://github.com/apache/incubator-tvm/blob/master/include/tvm/runtime/container.h
@@ -321,7 +321,12 @@ VM Compiler
An important part of this infrastructure is a compiler from Relay's full IR into a sequence of bytecode.
The VM compiler transforms a ``tvm::relay::Module`` into a ``tvm::relay::vm::Executable``. The executable
-contains a set of compiled functions, the compiled functions are contained in ``tvm::relay::vm::Function``. The functions contain metadata about the function as well as its compiled bytecode. The emitted executable object then can be loaded and run by a ``tvm::relay::vm::VirtualMachine`` object. For full definitions of the data structures, please see `include/tvm/runtime/vm.h`_.
+contains a set of compiled functions, the compiled functions are contained in ``tvm::relay::vm::Function``.
+The functions contain metadata about the function as well as its compiled bytecode. The emitted executable
+object then can be loaded and run by a ``tvm::relay::vm::VirtualMachine`` object. For full definitions of the
+data structures, please see `include/tvm/runtime/vm/executable.h`_ and `include/tvm/runtime/vm/vm.h`_.
+
+.. _include/tvm/runtime/vm/executable.h: https://github.com/apache/incubator-tvm/blob/master/include/tvm/runtime/vm/executable.h
Optimizations
~~~~~~~~~~~~~
diff --git a/docs/_sources/index.rst.txt b/docs/_sources/index.rst.txt
index 5e3fa45..18b2da7 100644
--- a/docs/_sources/index.rst.txt
+++ b/docs/_sources/index.rst.txt
@@ -18,43 +18,69 @@
TVM Documentation
=================
+TVM is an open deep learning compiler stack for CPUs, GPUs, and specialized accelerators. It aims to close the gap between the productivity-focused deep learning frameworks, and the performance- or efficiency-oriented hardware backends.
+
+
Get Started
-----------
+
+- Follow the :doc:`instructions <install/index>` to install TVM.
+- Checkout the :doc:`Tutorials <tutorials/index>`.
+
+For Developers
+--------------
+
+- :doc:`dev/index` is useful for developers who want to understand the
+ architecture of TVM and/or actively develop on the project.
+- :doc:`dev/how_to` gives quick development tips on various topics.
+
+
.. toctree::
:maxdepth: 1
+ :caption: How to
+ :hidden:
install/index
- tutorials/index
- vta/index
- deploy/index
contribute/index
- faq
+ deploy/index
+ dev/how_to
+
+.. toctree::
+ :maxdepth: 1
+ :caption: Tutorials
+ :hidden:
+
+ tutorials/index
+
-API Reference
--------------
.. toctree::
:maxdepth: 2
+ :caption: References
+ :hidden:
langref/index
api/python/index
api/links
-Developer Guide
----------------
.. toctree::
:maxdepth: 2
+ :hidden:
+ :caption: Deep Dive
dev/index
-Frontends
----------
.. toctree::
- :maxdepth: 1
+ :maxdepth: 2
+ :hidden:
+ :caption: MISC
+
+ vta/index
+ faq
- frontend/tensorflow
Index
-----
+
.. toctree::
:maxdepth: 1
diff --git a/docs/_sources/tutorials/autotvm/sg_execution_times.rst.txt b/docs/_sources/tutorials/autotvm/sg_execution_times.rst.txt
index ad28995..96bafaf 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
=================
-**00:56.123** total execution time for **tutorials_autotvm** files:
-
-- **00:30.260**: :ref:`sphx_glr_tutorials_autotvm_tune_simple_template.py` (``tune_simple_template.py``)
-- **00:25.165**: :ref:`sphx_glr_tutorials_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``)
-- **00:00.186**: :ref:`sphx_glr_tutorials_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``)
-- **00:00.180**: :ref:`sphx_glr_tutorials_autotvm_tune_relay_arm.py` (``tune_relay_arm.py``)
-- **00:00.166**: :ref:`sphx_glr_tutorials_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)
-- **00:00.166**: :ref:`sphx_glr_tutorials_autotvm_tune_relay_mobile_gpu.py` (``tune_relay_mobile_gpu.py``)
+**01:04.301** total execution time for **tutorials_autotvm** files:
+
+- **00:31.985**: :ref:`sphx_glr_tutorials_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``)
+- **00:31.624**: :ref:`sphx_glr_tutorials_autotvm_tune_simple_template.py` (``tune_simple_template.py``)
+- **00:00.188**: :ref:`sphx_glr_tutorials_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)
+- **00:00.174**: :ref:`sphx_glr_tutorials_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``)
+- **00:00.165**: :ref:`sphx_glr_tutorials_autotvm_tune_relay_mobile_gpu.py` (``tune_relay_mobile_gpu.py``)
+- **00:00.164**: :ref:`sphx_glr_tutorials_autotvm_tune_relay_arm.py` (``tune_relay_arm.py``)
diff --git a/docs/_sources/tutorials/autotvm/tune_conv2d_cuda.rst.txt b/docs/_sources/tutorials/autotvm/tune_conv2d_cuda.rst.txt
index 565fa0c..1274b7f 100644
--- a/docs/_sources/tutorials/autotvm/tune_conv2d_cuda.rst.txt
+++ b/docs/_sources/tutorials/autotvm/tune_conv2d_cuda.rst.txt
@@ -234,26 +234,26 @@ for this template
7 unroll_explicit: OtherOption([0, 1]) len=2
)
Get devices for measurement successfully!
- No: 1 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7ffa773c8af1]\n [bt] (3) /workspace/build/libtvm.so(+0x551ed7) [0x7ffa7698aed7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7ffa7698a976]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 2 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7ffa773c8af1]\n [bt] (3) /workspace/build/libtvm.so(+0x551ed7) [0x7ffa7698aed7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7ffa7698a976]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 3 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7ffa773c8af1]\n [bt] (3) /workspace/build/libtvm.so(+0x551ed7) [0x7ffa7698aed7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7ffa7698a976]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 4 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7ffa773c8af1]\n [bt] (3) /workspace/build/libtvm.so(+0x551ed7) [0x7ffa7698aed7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7ffa7698a976]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 5 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7ffa773c8af1]\n [bt] (3) /workspace/build/libtvm.so(+0x551ed7) [0x7ffa7698aed7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7ffa7698a976]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 6 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7ffa773c8af1]\n [bt] (3) /workspace/build/libtvm.so(+0x551ed7) [0x7ffa7698aed7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7ffa7698a976]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 7 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7ffa773c8af1]\n [bt] (3) /workspace/build/libtvm.so(+0x551ed7) [0x7ffa7698aed7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7ffa7698a976]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 8 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7ffa773c8af1]\n [bt] (3) /workspace/build/libtvm.so(+0x551ed7) [0x7ffa7698aed7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7ffa7698a976]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 9 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7ffa773c8af1]\n [bt] (3) /workspace/build/libtvm.so(+0x551ed7) [0x7ffa7698aed7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7ffa7698a976]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 10 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7ffa773c8af1]\n [bt] (3) /workspace/build/libtvm.so(+0x551ed7) [0x7ffa7698aed7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7ffa7698a976]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 11 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7ffa773c8af1]\n [bt] (3) /workspace/build/libtvm.so(+0x551ed7) [0x7ffa7698aed7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7ffa7698a976]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 12 GFLOPS: 53.34/53.34 result: MeasureResult(costs=(0.00434000212,), error_no=0, all_cost=1.8472955226898193, timestamp=1595589864.5762575) [('tile_f', [-1, 1, 1, 1]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 16, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,8533140
- No: 13 GFLOPS: 0.00/53.34 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7ffa773c8af1]\n [bt] (3) /workspace/build/libtvm.so(+0x551ed7) [0x7ffa7698aed7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7ffa7698a976]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 14 GFLOPS: 0.00/53.34 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7ffa773c8af1]\n [bt] (3) /workspace/build/libtvm.so(+0x551ed7) [0x7ffa7698aed7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7ffa7698a976]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 15 GFLOPS: 0.00/53.34 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7ffa773c8af1]\n [bt] (3) /workspace/build/libtvm.so(+0x551ed7) [0x7ffa7698aed7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7ffa7698a976]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 16 GFLOPS: 0.00/53.34 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7ffa773c8af1]\n [bt] (3) /workspace/build/libtvm.so(+0x551ed7) [0x7ffa7698aed7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7ffa7698a976]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 17 GFLOPS: 0.00/53.34 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7ffa773c8af1]\n [bt] (3) /workspace/build/libtvm.so(+0x551ed7) [0x7ffa7698aed7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7ffa7698a976]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 18 GFLOPS: 0.00/53.34 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7ffa773c8af1]\n [bt] (3) /workspace/build/libtvm.so(+0x551ed7) [0x7ffa7698aed7]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7ffa7698a976]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
- No: 19 GFLOPS: 383.71/383.71 result: MeasureResult(costs=(0.0006033176964285714,), error_no=0, all_cost=2.3823819160461426, timestamp=1595589869.384095) [('tile_f', [-1, 2, 1, 1]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 32, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9699801
- No: 20 GFLOPS: 4.97/383.71 result: MeasureResult(costs=(0.04653973725,), error_no=0, all_cost=2.067434787750244, timestamp=1595589870.543709) [('tile_f', [-1, 2, 1, 16]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 2, 32]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7502165
+ No: 1 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7fc842b50e31]\n [bt] (3) /workspace/build/libtvm.so(+0x5a4947) [0x7fc842148947]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7fc8421483e6]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 2 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7fc842b50e31]\n [bt] (3) /workspace/build/libtvm.so(+0x5a4947) [0x7fc842148947]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7fc8421483e6]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 3 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7fc842b50e31]\n [bt] (3) /workspace/build/libtvm.so(+0x5a4947) [0x7fc842148947]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7fc8421483e6]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 4 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7fc842b50e31]\n [bt] (3) /workspace/build/libtvm.so(+0x5a4947) [0x7fc842148947]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7fc8421483e6]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 5 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7fc842b50e31]\n [bt] (3) /workspace/build/libtvm.so(+0x5a4947) [0x7fc842148947]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7fc8421483e6]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 6 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7fc842b50e31]\n [bt] (3) /workspace/build/libtvm.so(+0x5a4947) [0x7fc842148947]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7fc8421483e6]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 7 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7fc842b50e31]\n [bt] (3) /workspace/build/libtvm.so(+0x5a4947) [0x7fc842148947]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7fc8421483e6]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 8 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7fc842b50e31]\n [bt] (3) /workspace/build/libtvm.so(+0x5a4947) [0x7fc842148947]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7fc8421483e6]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 9 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7fc842b50e31]\n [bt] (3) /workspace/build/libtvm.so(+0x5a4947) [0x7fc842148947]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7fc8421483e6]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 10 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7fc842b50e31]\n [bt] (3) /workspace/build/libtvm.so(+0x5a4947) [0x7fc842148947]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7fc8421483e6]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 11 GFLOPS: 0.00/0.00 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7fc842b50e31]\n [bt] (3) /workspace/build/libtvm.so(+0x5a4947) [0x7fc842148947]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7fc8421483e6]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 12 GFLOPS: 70.15/70.15 result: MeasureResult(costs=(0.0033000235,), error_no=0, all_cost=1.911299467086792, timestamp=1595958486.1247668) [('tile_f', [-1, 1, 1, 1]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 16, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,8533140
+ No: 13 GFLOPS: 0.00/70.15 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7fc842b50e31]\n [bt] (3) /workspace/build/libtvm.so(+0x5a4947) [0x7fc842148947]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7fc8421483e6]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 14 GFLOPS: 0.00/70.15 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7fc842b50e31]\n [bt] (3) /workspace/build/libtvm.so(+0x5a4947) [0x7fc842148947]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7fc8421483e6]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 15 GFLOPS: 0.00/70.15 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7fc842b50e31]\n [bt] (3) /workspace/build/libtvm.so(+0x5a4947) [0x7fc842148947]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7fc8421483e6]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 16 GFLOPS: 0.00/70.15 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7fc842b50e31]\n [bt] (3) /workspace/build/libtvm.so(+0x5a4947) [0x7fc842148947]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7fc8421483e6]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 17 GFLOPS: 0.00/70.15 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7fc842b50e31]\n [bt] (3) /workspace/build/libtvm.so(+0x5a4947) [0x7fc842148947]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7fc8421483e6]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 18 GFLOPS: 0.00/70.15 result: MeasureResult(costs=(InstantiationError('Traceback (most recent call last):\n [bt] (4) /workspace/build/libtvm.so(TVMFuncCall+0x61) [0x7fc842b50e31]\n [bt] (3) /workspace/build/libtvm.so(+0x5a4947) [0x7fc842148947]\n [bt] (2) /workspace/build/libtvm.so(tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const+0x3e6) [0x7fc8421483e6]\n [bt] (1) /workspace/build/libtvm.so(tvm::tir::transform::PrimFunc [...]
+ No: 19 GFLOPS: 691.81/691.81 result: MeasureResult(costs=(0.00033463196171171173,), error_no=0, all_cost=2.530919075012207, timestamp=1595958492.4823241) [('tile_f', [-1, 2, 1, 1]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 32, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9699801
+ No: 20 GFLOPS: 6.95/691.81 result: MeasureResult(costs=(0.03330911575,), error_no=0, all_cost=2.0892677307128906, timestamp=1595958493.6065364) [('tile_f', [-1, 2, 1, 16]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 2, 32]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7502165
@@ -307,7 +307,7 @@ and measure running time.
Best config:
[('tile_f', [-1, 2, 1, 1]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 32, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9699801
- Time cost of this operator: 0.000689
+ Time cost of this operator: 0.000358
diff --git a/docs/_sources/tutorials/autotvm/tune_simple_template.rst.txt b/docs/_sources/tutorials/autotvm/tune_simple_template.rst.txt
index c067c81..21296a3 100644
--- a/docs/_sources/tutorials/autotvm/tune_simple_template.rst.txt
+++ b/docs/_sources/tutorials/autotvm/tune_simple_template.rst.txt
@@ -361,16 +361,16 @@ used to get the best config later.
.. code-block:: none
Get devices for measurement successfully!
- No: 1 GFLOPS: 3.63/3.63 result: MeasureResult(costs=(0.0738644216,), error_no=0, all_cost=1.5411388874053955, timestamp=1595589829.7469058) [('tile_y', [-1, 8]), ('tile_x', [-1, 8])],None,33
- No: 2 GFLOPS: 2.00/3.63 result: MeasureResult(costs=(0.13443100079999998,), error_no=0, all_cost=2.5407021045684814, timestamp=1595589832.3761141) [('tile_y', [-1, 8]), ('tile_x', [-1, 2])],None,13
- No: 3 GFLOPS: 10.33/10.33 result: MeasureResult(costs=(0.025978123600000003,), error_no=0, all_cost=1.236288070678711, timestamp=1595589833.273457) [('tile_y', [-1, 16]), ('tile_x', [-1, 128])],None,74
- No: 4 GFLOPS: 9.36/10.33 result: MeasureResult(costs=(0.0286771322,), error_no=0, all_cost=0.9563946723937988, timestamp=1595589834.2116983) [('tile_y', [-1, 16]), ('tile_x', [-1, 32])],None,54
- No: 5 GFLOPS: 3.20/10.33 result: MeasureResult(costs=(0.0837980178,), error_no=0, all_cost=1.7327964305877686, timestamp=1595589836.0246713) [('tile_y', [-1, 128]), ('tile_x', [-1, 8])],None,37
- No: 6 GFLOPS: 3.36/10.33 result: MeasureResult(costs=(0.079870629,), error_no=0, all_cost=1.7182672023773193, timestamp=1595589837.7763348) [('tile_y', [-1, 64]), ('tile_x', [-1, 8])],None,36
- No: 7 GFLOPS: 9.71/10.33 result: MeasureResult(costs=(0.027645139000000003,), error_no=0, all_cost=0.9216654300689697, timestamp=1595589838.702522) [('tile_y', [-1, 1]), ('tile_x', [-1, 128])],None,70
- No: 8 GFLOPS: 14.33/14.33 result: MeasureResult(costs=(0.0187322464,), error_no=0, all_cost=0.7096536159515381, timestamp=1595589839.4786544) [('tile_y', [-1, 4]), ('tile_x', [-1, 512])],None,92
- No: 9 GFLOPS: 0.86/14.33 result: MeasureResult(costs=(0.3125007998,), error_no=0, all_cost=5.3441712856292725, timestamp=1595589845.5408623) [('tile_y', [-1, 512]), ('tile_x', [-1, 2])],None,19
- No: 10 GFLOPS: 0.45/14.33 result: MeasureResult(costs=(0.6012485108,), error_no=0, all_cost=9.975238561630249, timestamp=1595589855.656276) [('tile_y', [-1, 512]), ('tile_x', [-1, 1])],None,9
+ No: 1 GFLOPS: 3.77/3.77 result: MeasureResult(costs=(0.07128316500000001,), error_no=0, all_cost=1.8829278945922852, timestamp=1595958448.7124765) [('tile_y', [-1, 8]), ('tile_x', [-1, 8])],None,33
+ No: 2 GFLOPS: 1.85/3.77 result: MeasureResult(costs=(0.1451507098,), error_no=0, all_cost=2.90598726272583, timestamp=1595958451.6248004) [('tile_y', [-1, 8]), ('tile_x', [-1, 2])],None,13
+ No: 3 GFLOPS: 7.03/7.03 result: MeasureResult(costs=(0.0381901404,), error_no=0, all_cost=2.7528152465820312, timestamp=1595958452.802595) [('tile_y', [-1, 16]), ('tile_x', [-1, 128])],None,74
+ No: 4 GFLOPS: 4.22/7.03 result: MeasureResult(costs=(0.06359837780000001,), error_no=0, all_cost=2.1183362007141113, timestamp=1595958454.388583) [('tile_y', [-1, 16]), ('tile_x', [-1, 32])],None,54
+ No: 5 GFLOPS: 5.42/7.03 result: MeasureResult(costs=(0.0495258222,), error_no=0, all_cost=1.8740108013153076, timestamp=1595958455.6781332) [('tile_y', [-1, 128]), ('tile_x', [-1, 8])],None,37
+ No: 6 GFLOPS: 6.05/7.03 result: MeasureResult(costs=(0.0443383826,), error_no=0, all_cost=1.8742012977600098, timestamp=1595958456.9374595) [('tile_y', [-1, 64]), ('tile_x', [-1, 8])],None,36
+ No: 7 GFLOPS: 24.92/24.92 result: MeasureResult(costs=(0.0107738118,), error_no=0, all_cost=1.4422945976257324, timestamp=1595958457.6563804) [('tile_y', [-1, 1]), ('tile_x', [-1, 128])],None,70
+ No: 8 GFLOPS: 20.91/24.92 result: MeasureResult(costs=(0.0128377142,), error_no=0, all_cost=1.290924072265625, timestamp=1595958458.4099865) [('tile_y', [-1, 4]), ('tile_x', [-1, 512])],None,92
+ No: 9 GFLOPS: 0.81/24.92 result: MeasureResult(costs=(0.33006461,), error_no=0, all_cost=6.2914183139801025, timestamp=1595958464.1311278) [('tile_y', [-1, 512]), ('tile_x', [-1, 2])],None,19
+ No: 10 GFLOPS: 0.57/24.92 result: MeasureResult(costs=(0.4708847314,), error_no=0, all_cost=9.149282217025757, timestamp=1595958473.1613426) [('tile_y', [-1, 512]), ('tile_x', [-1, 1])],None,9
diff --git a/docs/_sources/tutorials/cross_compilation_and_rpc.rst.txt b/docs/_sources/tutorials/cross_compilation_and_rpc.rst.txt
deleted file mode 100644
index c4b9ef6..0000000
--- a/docs/_sources/tutorials/cross_compilation_and_rpc.rst.txt
+++ /dev/null
@@ -1,340 +0,0 @@
-.. note::
- :class: sphx-glr-download-link-note
-
- Click :ref:`here <sphx_glr_download_tutorials_cross_compilation_and_rpc.py>` to download the full example code
-.. rst-class:: sphx-glr-example-title
-
-.. _sphx_glr_tutorials_cross_compilation_and_rpc.py:
-
-
-.. _tutorial-cross-compilation-and-rpc:
-
-Cross Compilation and RPC
-=========================
-**Author**: `Ziheng Jiang <https://github.com/ZihengJiang/>`_, `Lianmin Zheng <https://github.com/merrymercy/>`_
-
-This tutorial introduces cross compilation and remote device
-execution with RPC in TVM.
-
-With cross compilation and RPC, you can **compile a program on your
-local machine then run it on the remote device**. It is useful when
-the remote device resource are limited, like Raspberry Pi and mobile
-platforms. In this tutorial, we will use the Raspberry Pi for a CPU example
-and the Firefly-RK3399 for an OpenCL example.
-
-Build TVM Runtime on Device
----------------------------
-
-The first step is to build the TVM runtime on the remote device.
-
-.. note::
-
- All instructions in both this section and the next section should be
- executed on the target device, e.g. Raspberry Pi. We assume the target
- is running Linux.
-
-Since we do compilation on the local machine, the remote device is only used
-for running the generated code. We only need to build the TVM runtime on
-the remote device.
-
-.. code-block:: bash
-
- git clone --recursive https://github.com/apache/incubator-tvm tvm
- cd tvm
- make runtime -j2
-
-After building the runtime successfully, we need to set environment variables
-in :code:`~/.bashrc` file. We can edit :code:`~/.bashrc`
-using :code:`vi ~/.bashrc` and add the line below (Assuming your TVM
-directory is in :code:`~/tvm`):
-
-.. code-block:: bash
-
- export PYTHONPATH=$PYTHONPATH:~/tvm/python
-
-To update the environment variables, execute :code:`source ~/.bashrc`.
-
-Set Up RPC Server on Device
----------------------------
-To start an RPC server, run the following command on your remote device
-(Which is Raspberry Pi in this example).
-
- .. code-block:: bash
-
- python -m tvm.exec.rpc_server --host 0.0.0.0 --port=9090
-
-If you see the line below, it means the RPC server started
-successfully on your device.
-
- .. code-block:: bash
-
- INFO:root:RPCServer: bind to 0.0.0.0:9090
-
-
-Declare and Cross Compile Kernel on Local Machine
--------------------------------------------------
-
-.. note::
-
- Now we go back to the local machine, which has a full TVM installed
- (with LLVM).
-
-Here we will declare a simple kernel on the local machine:
-
-
-.. code-block:: default
-
-
- import numpy as np
-
- import tvm
- from tvm import te
- from tvm import rpc
- from tvm.contrib import util
-
- n = tvm.runtime.convert(1024)
- A = te.placeholder((n,), name='A')
- B = te.compute((n,), lambda i: A[i] + 1.0, name='B')
- s = te.create_schedule(B.op)
-
-
-
-
-
-
-
-Then we cross compile the kernel.
-The target should be 'llvm -mtriple=armv7l-linux-gnueabihf' for
-Raspberry Pi 3B, but we use 'llvm' here to make this tutorial runnable
-on our webpage building server. See the detailed note in the following block.
-
-
-.. code-block:: default
-
-
- local_demo = True
-
- if local_demo:
- target = 'llvm'
- else:
- target = 'llvm -mtriple=armv7l-linux-gnueabihf'
-
- func = tvm.build(s, [A, B], target=target, name='add_one')
- # save the lib at a local temp folder
- temp = util.tempdir()
- path = temp.relpath('lib.tar')
- func.export_library(path)
-
-
-
-
-
-
-
-.. note::
-
- To run this tutorial with a real remote device, change :code:`local_demo`
- to False and replace :code:`target` in :code:`build` with the appropriate
- target triple for your device. The target triple which might be
- different for different devices. For example, it is
- :code:`'llvm -mtriple=armv7l-linux-gnueabihf'` for Raspberry Pi 3B and
- :code:`'llvm -mtriple=aarch64-linux-gnu'` for RK3399.
-
- Usually, you can query the target by running :code:`gcc -v` on your
- device, and looking for the line starting with :code:`Target:`
- (Though it may still be a loose configuration.)
-
- Besides :code:`-mtriple`, you can also set other compilation options
- like:
-
- * -mcpu=<cpuname>
- Specify a specific chip in the current architecture to generate code for. By default this is inferred from the target triple and autodetected to the current architecture.
- * -mattr=a1,+a2,-a3,...
- Override or control specific attributes of the target, such as whether SIMD operations are enabled or not. The default set of attributes is set by the current CPU.
- To get the list of available attributes, you can do:
-
- .. code-block:: bash
-
- llc -mtriple=<your device target triple> -mattr=help
-
- These options are consistent with `llc <http://llvm.org/docs/CommandGuide/llc.html>`_.
- It is recommended to set target triple and feature set to contain specific
- feature available, so we can take full advantage of the features of the
- board.
- You can find more details about cross compilation attributes from
- `LLVM guide of cross compilation <https://clang.llvm.org/docs/CrossCompilation.html>`_.
-
-Run CPU Kernel Remotely by RPC
-------------------------------
-We show how to run the generated CPU kernel on the remote device.
-First we obtain an RPC session from remote device.
-
-
-.. code-block:: default
-
-
- if local_demo:
- remote = rpc.LocalSession()
- else:
- # The following is my environment, change this to the IP address of your target device
- host = '10.77.1.162'
- port = 9090
- remote = rpc.connect(host, port)
-
-
-
-
-
-
-
-Upload the lib to the remote device, then invoke a device local
-compiler to relink them. Now `func` is a remote module object.
-
-
-.. code-block:: default
-
-
- remote.upload(path)
- func = remote.load_module('lib.tar')
-
- # create arrays on the remote device
- ctx = remote.cpu()
- a = tvm.nd.array(np.random.uniform(size=1024).astype(A.dtype), ctx)
- b = tvm.nd.array(np.zeros(1024, dtype=A.dtype), ctx)
- # the function will run on the remote device
- func(a, b)
- np.testing.assert_equal(b.asnumpy(), a.asnumpy() + 1)
-
-
-
-
-
-
-
-When you want to evaluate the performance of the kernel on the remote
-device, it is important to avoid the overhead of network.
-:code:`time_evaluator` will returns a remote function that runs the
-function over number times, measures the cost per run on the remote
-device and returns the measured cost. Network overhead is excluded.
-
-
-.. code-block:: default
-
-
- time_f = func.time_evaluator(func.entry_name, ctx, number=10)
- cost = time_f(a, b).mean
- print('%g secs/op' % cost)
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
- 1.184e-07 secs/op
-
-
-
-Run OpenCL Kernel Remotely by RPC
----------------------------------
-For remote OpenCL devices, the workflow is almost the same as above.
-You can define the kernel, upload files, and run via RPC.
-
-.. note::
-
- Raspberry Pi does not support OpenCL, the following code is tested on
- Firefly-RK3399. You may follow this `tutorial <https://gist.github.com/mli/585aed2cec0b5178b1a510f9f236afa2>`_
- to setup the OS and OpenCL driver for RK3399.
-
- Also we need to build the runtime with OpenCL enabled on rk3399 board. In the TVM
- root directory, execute
-
-.. code-block:: bash
-
- cp cmake/config.cmake .
- sed -i "s/USE_OPENCL OFF/USE_OPENCL ON/" config.cmake
- make runtime -j4
-
-The following function shows how we run an OpenCL kernel remotely
-
-
-.. code-block:: default
-
-
- def run_opencl():
- # NOTE: This is the setting for my rk3399 board. You need to modify
- # them according to your environment.
- target_host = "llvm -mtriple=aarch64-linux-gnu"
- opencl_device_host = '10.77.1.145'
- opencl_device_port = 9090
-
- # create schedule for the above "add one" compute declaration
- s = te.create_schedule(B.op)
- xo, xi = s[B].split(B.op.axis[0], factor=32)
- s[B].bind(xo, te.thread_axis("blockIdx.x"))
- s[B].bind(xi, te.thread_axis("threadIdx.x"))
- func = tvm.build(s, [A, B], "opencl", target_host=target_host)
-
- remote = rpc.connect(opencl_device_host, opencl_device_port)
-
- # export and upload
- path = temp.relpath('lib_cl.tar')
- func.export_library(path)
- remote.upload(path)
- func = remote.load_module('lib_cl.tar')
-
- # run
- ctx = remote.cl()
- a = tvm.nd.array(np.random.uniform(size=1024).astype(A.dtype), ctx)
- b = tvm.nd.array(np.zeros(1024, dtype=A.dtype), ctx)
- func(a, b)
- np.testing.assert_equal(b.asnumpy(), a.asnumpy() + 1)
- print("OpenCL test passed!")
-
-
-
-
-
-
-
-Summary
--------
-This tutorial provides a walk through of cross compilation and RPC
-features in TVM.
-
-- Set up an RPC server on the remote device.
-- Set up the target device configuration to cross compile the kernels on the
- local machine.
-- Upload and run the kernels remotely via the RPC API.
-
-
-.. _sphx_glr_download_tutorials_cross_compilation_and_rpc.py:
-
-
-.. only :: html
-
- .. container:: sphx-glr-footer
- :class: sphx-glr-footer-example
-
-
-
- .. container:: sphx-glr-download
-
- :download:`Download Python source code: cross_compilation_and_rpc.py <cross_compilation_and_rpc.py>`
-
-
-
- .. container:: sphx-glr-download
-
- :download:`Download Jupyter notebook: cross_compilation_and_rpc.ipynb <cross_compilation_and_rpc.ipynb>`
-
-
-.. only:: html
-
- .. rst-class:: sphx-glr-signature
-
- `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/docs/_sources/tutorials/dev/sg_execution_times.rst.txt b/docs/_sources/tutorials/dev/sg_execution_times.rst.txt
index 8d1ea04..24a87d6 100644
--- a/docs/_sources/tutorials/dev/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorials/dev/sg_execution_times.rst.txt
@@ -5,7 +5,7 @@
Computation times
=================
-**00:00.537** total execution time for **tutorials_dev** files:
+**00:00.557** total execution time for **tutorials_dev** files:
-- **00:00.385**: :ref:`sphx_glr_tutorials_dev_relay_pass_infra.py` (``relay_pass_infra.py``)
-- **00:00.152**: :ref:`sphx_glr_tutorials_dev_low_level_custom_pass.py` (``low_level_custom_pass.py``)
+- **00:00.390**: :ref:`sphx_glr_tutorials_dev_relay_pass_infra.py` (``relay_pass_infra.py``)
+- **00:00.167**: :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 8915117..6a82e08 100644
--- a/docs/_sources/tutorials/frontend/deploy_model_on_android.rst.txt
+++ b/docs/_sources/tutorials/frontend/deploy_model_on_android.rst.txt
@@ -413,7 +413,7 @@ Execute on TVM
TVM prediction top-1: tiger cat
Evaluate inference time cost...
- Mean inference time (std dev): 3.72 ms (0.15 ms)
+ Mean inference time (std dev): 6.35 ms (0.91 ms)
diff --git a/docs/_sources/tutorials/frontend/deploy_prequantized.rst.txt b/docs/_sources/tutorials/frontend/deploy_prequantized.rst.txt
index d9cca7c..9e92cfd 100644
--- a/docs/_sources/tutorials/frontend/deploy_prequantized.rst.txt
+++ b/docs/_sources/tutorials/frontend/deploy_prequantized.rst.txt
@@ -323,7 +323,7 @@ output values are identical out of 1000 outputs from mobilenet v2.
.. code-block:: none
- 196 in 1000 raw floating outputs identical.
+ 188 in 1000 raw floating outputs identical.
@@ -351,7 +351,7 @@ Here we give an example of how to measure performance of TVM compiled models.
.. code-block:: none
- Elapsed average ms: 19.153483929999997
+ Elapsed average ms: 32.100931599999996
diff --git a/docs/_sources/tutorials/frontend/deploy_prequantized_tflite.rst.txt b/docs/_sources/tutorials/frontend/deploy_prequantized_tflite.rst.txt
index 071eb01..913a9a2 100644
--- a/docs/_sources/tutorials/frontend/deploy_prequantized_tflite.rst.txt
+++ b/docs/_sources/tutorials/frontend/deploy_prequantized_tflite.rst.txt
@@ -359,7 +359,7 @@ Here we give an example of how to measure performance of TVM compiled models.
.. code-block:: none
- Elapsed average ms: 37.04663029
+ Elapsed average ms: 57.231551929999995
@@ -392,7 +392,7 @@ 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 36.192 seconds)
+ **Total running time of the script:** ( 2 minutes 34.312 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 b121041..924a3a9 100644
--- a/docs/_sources/tutorials/frontend/deploy_ssd_gluoncv.rst.txt
+++ b/docs/_sources/tutorials/frontend/deploy_ssd_gluoncv.rst.txt
@@ -168,45 +168,6 @@ Create TVM runtime and do inference
.. code-block:: none
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 3, 512, 512), 'float32'), ('TENSOR', (64, 3, 7, 7), 'float32'), (2, 2), (3, 3, 3, 3), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 64, 128, 128), 'float32'), ('TENSOR', (64, 64, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 64, 128, 128), 'float32'), ('TENSOR', (64, 64, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 64, 128, 128), 'float32'), ('TENSOR', (256, 64, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 128, 128), 'float32'), ('TENSOR', (64, 256, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 128, 128), 'float32'), ('TENSOR', (128, 256, 1, 1), 'float32'), (2, 2), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 128, 64, 64), 'float32'), ('TENSOR', (128, 128, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 128, 64, 64), 'float32'), ('TENSOR', (512, 128, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 128, 128), 'float32'), ('TENSOR', (512, 256, 1, 1), 'float32'), (2, 2), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 64, 64), 'float32'), ('TENSOR', (128, 512, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 64, 64), 'float32'), ('TENSOR', (256, 512, 1, 1), 'float32'), (2, 2), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 32, 32), 'float32'), ('TENSOR', (256, 256, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 32, 32), 'float32'), ('TENSOR', (1024, 256, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 64, 64), 'float32'), ('TENSOR', (1024, 512, 1, 1), 'float32'), (2, 2), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 1024, 32, 32), 'float32'), ('TENSOR', (256, 1024, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 1024, 32, 32), 'float32'), ('TENSOR', (84, 1024, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 1024, 32, 32), 'float32'), ('TENSOR', (512, 1024, 1, 1), 'float32'), (2, 2), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 16, 16), 'float32'), ('TENSOR', (512, 512, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 16, 16), 'float32'), ('TENSOR', (2048, 512, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 1024, 32, 32), 'float32'), ('TENSOR', (2048, 1024, 1, 1), 'float32'), (2, 2), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 2048, 16, 16), 'float32'), ('TENSOR', (512, 2048, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 2048, 16, 16), 'float32'), ('TENSOR', (126, 2048, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 16, 16), 'float32'), ('TENSOR', (512, 512, 3, 3), 'float32'), (2, 2), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 8, 8), 'float32'), ('TENSOR', (126, 512, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 8, 8), 'float32'), ('TENSOR', (512, 512, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 8, 8), 'float32'), ('TENSOR', (512, 512, 3, 3), 'float32'), (2, 2), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 4, 4), 'float32'), ('TENSOR', (126, 512, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 4, 4), 'float32'), ('TENSOR', (256, 512, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 4, 4), 'float32'), ('TENSOR', (256, 256, 3, 3), 'float32'), (2, 2), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 2, 2), 'float32'), ('TENSOR', (84, 256, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 2, 2), 'float32'), ('TENSOR', (256, 256, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 2, 2), 'float32'), ('TENSOR', (256, 256, 3, 3), 'float32'), (2, 2), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 1, 1), 'float32'), ('TENSOR', (84, 256, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 1024, 32, 32), 'float32'), ('TENSOR', (16, 1024, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 2048, 16, 16), 'float32'), ('TENSOR', (24, 2048, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 8, 8), 'float32'), ('TENSOR', (24, 512, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 4, 4), 'float32'), ('TENSOR', (24, 512, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 2, 2), 'float32'), ('TENSOR', (16, 256, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
- Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 1, 1), 'float32'), ('TENSOR', (16, 256, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
Cannot find config for target=llvm -keys=cpu, workload=('conv2d_NCHWc.x86', ('TENSOR', (1, 3, 512, 512), 'float32'), ('TENSOR', (64, 3, 7, 7), 'float32'), (2, 2), (3, 3, 3, 3), (1, 1), 'NCHW', 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression.
Cannot find config for target=llvm -keys=cpu, workload=('conv2d_NCHWc.x86', ('TENSOR', (1, 64, 128, 128), 'float32'), ('TENSOR', (64, 64, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'NCHW', 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression.
Cannot find config for target=llvm -keys=cpu, workload=('conv2d_NCHWc.x86', ('TENSOR', (1, 64, 128, 128), 'float32'), ('TENSOR', (64, 64, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'NCHW', 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression.
@@ -285,6 +246,45 @@ Create TVM runtime and do inference
Cannot find config for target=llvm -keys=cpu, workload=('conv2d_NCHWc.x86', ('TENSOR', (1, 64, 4, 4, 8), 'float32'), ('TENSOR', (3, 64, 3, 3, 8, 8), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'NCHW8c', 'NCHW8c', 'float32'). A fallback configuration is used, which may bring great performance regression.
Cannot find config for target=llvm -keys=cpu, workload=('conv2d_NCHWc.x86', ('TENSOR', (1, 32, 2, 2, 8), 'float32'), ('TENSOR', (2, 32, 3, 3, 8, 8), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'NCHW8c', 'NCHW8c', 'float32'). A fallback configuration is used, which may bring great performance regression.
Cannot find config for target=llvm -keys=cpu, workload=('conv2d_NCHWc.x86', ('TENSOR', (1, 32, 1, 1, 8), 'float32'), ('TENSOR', (2, 32, 3, 3, 8, 8), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'NCHW8c', 'NCHW8c', 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 3, 512, 512), 'float32'), ('TENSOR', (64, 3, 7, 7), 'float32'), (2, 2), (3, 3, 3, 3), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 64, 128, 128), 'float32'), ('TENSOR', (64, 64, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 64, 128, 128), 'float32'), ('TENSOR', (64, 64, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 64, 128, 128), 'float32'), ('TENSOR', (256, 64, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 128, 128), 'float32'), ('TENSOR', (64, 256, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 128, 128), 'float32'), ('TENSOR', (128, 256, 1, 1), 'float32'), (2, 2), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 128, 64, 64), 'float32'), ('TENSOR', (128, 128, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 128, 64, 64), 'float32'), ('TENSOR', (512, 128, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 128, 128), 'float32'), ('TENSOR', (512, 256, 1, 1), 'float32'), (2, 2), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 64, 64), 'float32'), ('TENSOR', (128, 512, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 64, 64), 'float32'), ('TENSOR', (256, 512, 1, 1), 'float32'), (2, 2), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 32, 32), 'float32'), ('TENSOR', (256, 256, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 32, 32), 'float32'), ('TENSOR', (1024, 256, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 64, 64), 'float32'), ('TENSOR', (1024, 512, 1, 1), 'float32'), (2, 2), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 1024, 32, 32), 'float32'), ('TENSOR', (256, 1024, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 1024, 32, 32), 'float32'), ('TENSOR', (84, 1024, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 1024, 32, 32), 'float32'), ('TENSOR', (512, 1024, 1, 1), 'float32'), (2, 2), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 16, 16), 'float32'), ('TENSOR', (512, 512, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 16, 16), 'float32'), ('TENSOR', (2048, 512, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 1024, 32, 32), 'float32'), ('TENSOR', (2048, 1024, 1, 1), 'float32'), (2, 2), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 2048, 16, 16), 'float32'), ('TENSOR', (512, 2048, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 2048, 16, 16), 'float32'), ('TENSOR', (126, 2048, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 16, 16), 'float32'), ('TENSOR', (512, 512, 3, 3), 'float32'), (2, 2), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 8, 8), 'float32'), ('TENSOR', (126, 512, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 8, 8), 'float32'), ('TENSOR', (512, 512, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 8, 8), 'float32'), ('TENSOR', (512, 512, 3, 3), 'float32'), (2, 2), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 4, 4), 'float32'), ('TENSOR', (126, 512, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 4, 4), 'float32'), ('TENSOR', (256, 512, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 4, 4), 'float32'), ('TENSOR', (256, 256, 3, 3), 'float32'), (2, 2), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 2, 2), 'float32'), ('TENSOR', (84, 256, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 2, 2), 'float32'), ('TENSOR', (256, 256, 1, 1), 'float32'), (1, 1), (0, 0, 0, 0), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 2, 2), 'float32'), ('TENSOR', (256, 256, 3, 3), 'float32'), (2, 2), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 1, 1), 'float32'), ('TENSOR', (84, 256, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 1024, 32, 32), 'float32'), ('TENSOR', (16, 1024, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 2048, 16, 16), 'float32'), ('TENSOR', (24, 2048, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 8, 8), 'float32'), ('TENSOR', (24, 512, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 512, 4, 4), 'float32'), ('TENSOR', (24, 512, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 2, 2), 'float32'), ('TENSOR', (16, 256, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
+ Cannot find config for target=cuda -keys=cuda,gpu -max_num_threads=1024 -thread_warp_size=32, workload=('conv2d_nchw.cuda', ('TENSOR', (1, 256, 1, 1), 'float32'), ('TENSOR', (16, 256, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'float32'). A fallback configuration is used, which may bring great performance regression.
diff --git a/docs/_sources/tutorials/frontend/from_onnx.rst.txt b/docs/_sources/tutorials/frontend/from_onnx.rst.txt
index 8af4649..1b78daf 100644
--- a/docs/_sources/tutorials/frontend/from_onnx.rst.txt
+++ b/docs/_sources/tutorials/frontend/from_onnx.rst.txt
@@ -151,7 +151,7 @@ Execute on TVM
.. code-block:: none
-
...47%, 0.01 MB, 18 KB/s, 0 seconds passed
...94%, 0.02 MB, 36 KB/s, 0 seconds passed
...100%, 0.02 MB, 54 KB/s, 0 seconds passed
+
...47%, 0.01 MB, 764 KB/s, 0 seconds passed
...94%, 0.02 MB, 1447 KB/s, 0 seconds passed
...100%, 0.02 MB, 2122 KB/s, 0 seconds passed
Cannot find config for target=llvm -keys=cpu, workload=('conv2d_NCHWc.x86', ('TENSOR', (1, 32, 224, 224), 'float32'), ('TENSOR', (9, 32, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'NCHW', 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression.
Cannot find config for target=llvm -keys=cpu, workload=('conv2d_NCHWc.x86', ('TENSOR', (1, 64, 224, 224), 'float32'), ('TENSOR', (32, 64, 3, 3), 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'NCHW', 'NCHW', 'float32'). A fallback configuration is used, which may bring great performance regression.
Cannot find config for target=llvm -keys=cpu, workload=('conv2d_NCHWc.x86', ('TENSOR', (1, 1, 224, 224), 'float32'), ('TENSOR', (64, 1, 5, 5), 'float32'), (1, 1), (2, 2, 2, 2), (1, 1), 'NCHW', 'NCHW', '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 41d065c..fdb4b07 100644
--- a/docs/_sources/tutorials/frontend/from_tensorflow.rst.txt
+++ b/docs/_sources/tutorials/frontend/from_tensorflow.rst.txt
@@ -197,9 +197,9 @@ Results:
ANTLR runtime and generated code versions disagree: 4.8!=4.7.2
ANTLR runtime and generated code versions disagree: 4.8!=4.7.2
- /workspace/docs/../python/tvm/relay/frontend/tensorflow.py:2657: UserWarning: Ignore the passed shape. Shape in graphdef will be used for operator DecodeJpeg/contents.
+ /workspace/docs/../python/tvm/relay/frontend/tensorflow.py:2661: UserWarning: Ignore the passed shape. Shape in graphdef will be used for operator DecodeJpeg/contents.
"will be used for operator %s." % node.name)
- /workspace/docs/../python/tvm/relay/frontend/tensorflow.py:683: UserWarning: DecodeJpeg: It's a pass through, please handle preprocessing before input
+ /workspace/docs/../python/tvm/relay/frontend/tensorflow.py:686: UserWarning: DecodeJpeg: It's a pass through, please handle preprocessing before input
warnings.warn("DecodeJpeg: It's a pass through, please handle preprocessing before input")
Tensorflow protobuf imported to relay frontend.
diff --git a/docs/_sources/tutorials/frontend/sg_execution_times.rst.txt b/docs/_sources/tutorials/frontend/sg_execution_times.rst.txt
index 1480cb4..55dd102 100644
--- a/docs/_sources/tutorials/frontend/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorials/frontend/sg_execution_times.rst.txt
@@ -5,23 +5,23 @@
Computation times
=================
-**07:09.748** total execution time for **tutorials_frontend** files:
+**06:57.966** total execution time for **tutorials_frontend** files:
-- **02:36.192**: :ref:`sphx_glr_tutorials_frontend_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)
-- **00:38.193**: :ref:`sphx_glr_tutorials_frontend_deploy_ssd_gluoncv.py` (``deploy_ssd_gluoncv.py``)
-- **00:37.764**: :ref:`sphx_glr_tutorials_frontend_deploy_prequantized.py` (``deploy_prequantized.py``)
-- **00:37.467**: :ref:`sphx_glr_tutorials_frontend_from_tensorflow.py` (``from_tensorflow.py``)
-- **00:25.952**: :ref:`sphx_glr_tutorials_frontend_from_tflite.py` (``from_tflite.py``)
-- **00:25.369**: :ref:`sphx_glr_tutorials_frontend_deploy_quantized.py` (``deploy_quantized.py``)
-- **00:21.631**: :ref:`sphx_glr_tutorials_frontend_from_darknet.py` (``from_darknet.py``)
-- **00:14.015**: :ref:`sphx_glr_tutorials_frontend_from_keras.py` (``from_keras.py``)
-- **00:13.645**: :ref:`sphx_glr_tutorials_frontend_from_caffe2.py` (``from_caffe2.py``)
-- **00:12.193**: :ref:`sphx_glr_tutorials_frontend_deploy_model_on_android.py` (``deploy_model_on_android.py``)
-- **00:11.887**: :ref:`sphx_glr_tutorials_frontend_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)
-- **00:09.196**: :ref:`sphx_glr_tutorials_frontend_from_coreml.py` (``from_coreml.py``)
-- **00:09.104**: :ref:`sphx_glr_tutorials_frontend_from_pytorch.py` (``from_pytorch.py``)
-- **00:06.559**: :ref:`sphx_glr_tutorials_frontend_from_mxnet.py` (``from_mxnet.py``)
-- **00:05.489**: :ref:`sphx_glr_tutorials_frontend_build_gcn.py` (``build_gcn.py``)
-- **00:02.741**: :ref:`sphx_glr_tutorials_frontend_using_external_lib.py` (``using_external_lib.py``)
-- **00:02.172**: :ref:`sphx_glr_tutorials_frontend_from_onnx.py` (``from_onnx.py``)
-- **00:00.181**: :ref:`sphx_glr_tutorials_frontend_deploy_sparse.py` (``deploy_sparse.py``)
+- **02:34.312**: :ref:`sphx_glr_tutorials_frontend_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)
+- **00:42.280**: :ref:`sphx_glr_tutorials_frontend_deploy_ssd_gluoncv.py` (``deploy_ssd_gluoncv.py``)
+- **00:39.364**: :ref:`sphx_glr_tutorials_frontend_deploy_prequantized.py` (``deploy_prequantized.py``)
+- **00:35.573**: :ref:`sphx_glr_tutorials_frontend_from_tensorflow.py` (``from_tensorflow.py``)
+- **00:24.883**: :ref:`sphx_glr_tutorials_frontend_from_tflite.py` (``from_tflite.py``)
+- **00:23.348**: :ref:`sphx_glr_tutorials_frontend_from_darknet.py` (``from_darknet.py``)
+- **00:21.929**: :ref:`sphx_glr_tutorials_frontend_deploy_quantized.py` (``deploy_quantized.py``)
+- **00:12.171**: :ref:`sphx_glr_tutorials_frontend_from_caffe2.py` (``from_caffe2.py``)
+- **00:12.107**: :ref:`sphx_glr_tutorials_frontend_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)
+- **00:11.901**: :ref:`sphx_glr_tutorials_frontend_deploy_model_on_android.py` (``deploy_model_on_android.py``)
+- **00:09.434**: :ref:`sphx_glr_tutorials_frontend_from_keras.py` (``from_keras.py``)
+- **00:07.898**: :ref:`sphx_glr_tutorials_frontend_from_pytorch.py` (``from_pytorch.py``)
+- **00:07.219**: :ref:`sphx_glr_tutorials_frontend_from_coreml.py` (``from_coreml.py``)
+- **00:05.559**: :ref:`sphx_glr_tutorials_frontend_from_mxnet.py` (``from_mxnet.py``)
+- **00:05.502**: :ref:`sphx_glr_tutorials_frontend_build_gcn.py` (``build_gcn.py``)
+- **00:02.783**: :ref:`sphx_glr_tutorials_frontend_using_external_lib.py` (``using_external_lib.py``)
+- **00:01.489**: :ref:`sphx_glr_tutorials_frontend_from_onnx.py` (``from_onnx.py``)
+- **00:00.212**: :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
new file mode 100644
index 0000000..c54b7e9
--- /dev/null
+++ b/docs/_sources/tutorials/get_started/cross_compilation_and_rpc.rst.txt
@@ -0,0 +1,340 @@
+.. note::
+ :class: sphx-glr-download-link-note
+
+ Click :ref:`here <sphx_glr_download_tutorials_get_started_cross_compilation_and_rpc.py>` to download the full example code
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_tutorials_get_started_cross_compilation_and_rpc.py:
+
+
+.. _tutorial-cross-compilation-and-rpc:
+
+Cross Compilation and RPC
+=========================
+**Author**: `Ziheng Jiang <https://github.com/ZihengJiang/>`_, `Lianmin Zheng <https://github.com/merrymercy/>`_
+
+This tutorial introduces cross compilation and remote device
+execution with RPC in TVM.
+
+With cross compilation and RPC, you can **compile a program on your
+local machine then run it on the remote device**. It is useful when
+the remote device resource are limited, like Raspberry Pi and mobile
+platforms. In this tutorial, we will use the Raspberry Pi for a CPU example
+and the Firefly-RK3399 for an OpenCL example.
+
+Build TVM Runtime on Device
+---------------------------
+
+The first step is to build the TVM runtime on the remote device.
+
+.. note::
+
+ All instructions in both this section and the next section should be
+ executed on the target device, e.g. Raspberry Pi. We assume the target
+ is running Linux.
+
+Since we do compilation on the local machine, the remote device is only used
+for running the generated code. We only need to build the TVM runtime on
+the remote device.
+
+.. code-block:: bash
+
+ git clone --recursive https://github.com/apache/incubator-tvm tvm
+ cd tvm
+ make runtime -j2
+
+After building the runtime successfully, we need to set environment variables
+in :code:`~/.bashrc` file. We can edit :code:`~/.bashrc`
+using :code:`vi ~/.bashrc` and add the line below (Assuming your TVM
+directory is in :code:`~/tvm`):
+
+.. code-block:: bash
+
+ export PYTHONPATH=$PYTHONPATH:~/tvm/python
+
+To update the environment variables, execute :code:`source ~/.bashrc`.
+
+Set Up RPC Server on Device
+---------------------------
+To start an RPC server, run the following command on your remote device
+(Which is Raspberry Pi in this example).
+
+ .. code-block:: bash
+
+ python -m tvm.exec.rpc_server --host 0.0.0.0 --port=9090
+
+If you see the line below, it means the RPC server started
+successfully on your device.
+
+ .. code-block:: bash
+
+ INFO:root:RPCServer: bind to 0.0.0.0:9090
+
+
+Declare and Cross Compile Kernel on Local Machine
+-------------------------------------------------
+
+.. note::
+
+ Now we go back to the local machine, which has a full TVM installed
+ (with LLVM).
+
+Here we will declare a simple kernel on the local machine:
+
+
+.. code-block:: default
+
+
+ import numpy as np
+
+ import tvm
+ from tvm import te
+ from tvm import rpc
+ from tvm.contrib import util
+
+ n = tvm.runtime.convert(1024)
+ A = te.placeholder((n,), name='A')
+ B = te.compute((n,), lambda i: A[i] + 1.0, name='B')
+ s = te.create_schedule(B.op)
+
+
+
+
+
+
+
+Then we cross compile the kernel.
+The target should be 'llvm -mtriple=armv7l-linux-gnueabihf' for
+Raspberry Pi 3B, but we use 'llvm' here to make this tutorial runnable
+on our webpage building server. See the detailed note in the following block.
+
+
+.. code-block:: default
+
+
+ local_demo = True
+
+ if local_demo:
+ target = 'llvm'
+ else:
+ target = 'llvm -mtriple=armv7l-linux-gnueabihf'
+
+ func = tvm.build(s, [A, B], target=target, name='add_one')
+ # save the lib at a local temp folder
+ temp = util.tempdir()
+ path = temp.relpath('lib.tar')
+ func.export_library(path)
+
+
+
+
+
+
+
+.. note::
+
+ To run this tutorial with a real remote device, change :code:`local_demo`
+ to False and replace :code:`target` in :code:`build` with the appropriate
+ target triple for your device. The target triple which might be
+ different for different devices. For example, it is
+ :code:`'llvm -mtriple=armv7l-linux-gnueabihf'` for Raspberry Pi 3B and
+ :code:`'llvm -mtriple=aarch64-linux-gnu'` for RK3399.
+
+ Usually, you can query the target by running :code:`gcc -v` on your
+ device, and looking for the line starting with :code:`Target:`
+ (Though it may still be a loose configuration.)
+
+ Besides :code:`-mtriple`, you can also set other compilation options
+ like:
+
+ * -mcpu=<cpuname>
+ Specify a specific chip in the current architecture to generate code for. By default this is inferred from the target triple and autodetected to the current architecture.
+ * -mattr=a1,+a2,-a3,...
+ Override or control specific attributes of the target, such as whether SIMD operations are enabled or not. The default set of attributes is set by the current CPU.
+ To get the list of available attributes, you can do:
+
+ .. code-block:: bash
+
+ llc -mtriple=<your device target triple> -mattr=help
+
+ These options are consistent with `llc <http://llvm.org/docs/CommandGuide/llc.html>`_.
+ It is recommended to set target triple and feature set to contain specific
+ feature available, so we can take full advantage of the features of the
+ board.
+ You can find more details about cross compilation attributes from
+ `LLVM guide of cross compilation <https://clang.llvm.org/docs/CrossCompilation.html>`_.
+
+Run CPU Kernel Remotely by RPC
+------------------------------
+We show how to run the generated CPU kernel on the remote device.
+First we obtain an RPC session from remote device.
+
+
+.. code-block:: default
+
+
+ if local_demo:
+ remote = rpc.LocalSession()
+ else:
+ # The following is my environment, change this to the IP address of your target device
+ host = '10.77.1.162'
+ port = 9090
+ remote = rpc.connect(host, port)
+
+
+
+
+
+
+
+Upload the lib to the remote device, then invoke a device local
+compiler to relink them. Now `func` is a remote module object.
+
+
+.. code-block:: default
+
+
+ remote.upload(path)
+ func = remote.load_module('lib.tar')
+
+ # create arrays on the remote device
+ ctx = remote.cpu()
+ a = tvm.nd.array(np.random.uniform(size=1024).astype(A.dtype), ctx)
+ b = tvm.nd.array(np.zeros(1024, dtype=A.dtype), ctx)
+ # the function will run on the remote device
+ func(a, b)
+ np.testing.assert_equal(b.asnumpy(), a.asnumpy() + 1)
+
+
+
+
+
+
+
+When you want to evaluate the performance of the kernel on the remote
+device, it is important to avoid the overhead of network.
+:code:`time_evaluator` will returns a remote function that runs the
+function over number times, measures the cost per run on the remote
+device and returns the measured cost. Network overhead is excluded.
+
+
+.. code-block:: default
+
+
+ time_f = func.time_evaluator(func.entry_name, ctx, number=10)
+ cost = time_f(a, b).mean
+ print('%g secs/op' % cost)
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ Out:
+
+ .. code-block:: none
+
+ 2.165e-07 secs/op
+
+
+
+Run OpenCL Kernel Remotely by RPC
+---------------------------------
+For remote OpenCL devices, the workflow is almost the same as above.
+You can define the kernel, upload files, and run via RPC.
+
+.. note::
+
+ Raspberry Pi does not support OpenCL, the following code is tested on
+ Firefly-RK3399. You may follow this `tutorial <https://gist.github.com/mli/585aed2cec0b5178b1a510f9f236afa2>`_
+ to setup the OS and OpenCL driver for RK3399.
+
+ Also we need to build the runtime with OpenCL enabled on rk3399 board. In the TVM
+ root directory, execute
+
+.. code-block:: bash
+
+ cp cmake/config.cmake .
+ sed -i "s/USE_OPENCL OFF/USE_OPENCL ON/" config.cmake
+ make runtime -j4
+
+The following function shows how we run an OpenCL kernel remotely
+
+
+.. code-block:: default
+
+
+ def run_opencl():
+ # NOTE: This is the setting for my rk3399 board. You need to modify
+ # them according to your environment.
+ target_host = "llvm -mtriple=aarch64-linux-gnu"
+ opencl_device_host = '10.77.1.145'
+ opencl_device_port = 9090
+
+ # create schedule for the above "add one" compute declaration
+ s = te.create_schedule(B.op)
+ xo, xi = s[B].split(B.op.axis[0], factor=32)
+ s[B].bind(xo, te.thread_axis("blockIdx.x"))
+ s[B].bind(xi, te.thread_axis("threadIdx.x"))
+ func = tvm.build(s, [A, B], "opencl", target_host=target_host)
+
+ remote = rpc.connect(opencl_device_host, opencl_device_port)
+
+ # export and upload
+ path = temp.relpath('lib_cl.tar')
+ func.export_library(path)
+ remote.upload(path)
+ func = remote.load_module('lib_cl.tar')
+
+ # run
+ ctx = remote.cl()
+ a = tvm.nd.array(np.random.uniform(size=1024).astype(A.dtype), ctx)
+ b = tvm.nd.array(np.zeros(1024, dtype=A.dtype), ctx)
+ func(a, b)
+ np.testing.assert_equal(b.asnumpy(), a.asnumpy() + 1)
+ print("OpenCL test passed!")
+
+
+
+
+
+
+
+Summary
+-------
+This tutorial provides a walk through of cross compilation and RPC
+features in TVM.
+
+- Set up an RPC server on the remote device.
+- Set up the target device configuration to cross compile the kernels on the
+ local machine.
+- Upload and run the kernels remotely via the RPC API.
+
+
+.. _sphx_glr_download_tutorials_get_started_cross_compilation_and_rpc.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+ :class: sphx-glr-footer-example
+
+
+
+ .. container:: sphx-glr-download
+
+ :download:`Download Python source code: cross_compilation_and_rpc.py <cross_compilation_and_rpc.py>`
+
+
+
+ .. container:: sphx-glr-download
+
+ :download:`Download Jupyter notebook: cross_compilation_and_rpc.ipynb <cross_compilation_and_rpc.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+ `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/docs/_sources/tutorials/get_started/relay_quick_start.rst.txt b/docs/_sources/tutorials/get_started/relay_quick_start.rst.txt
new file mode 100644
index 0000000..8d78298
--- /dev/null
+++ b/docs/_sources/tutorials/get_started/relay_quick_start.rst.txt
@@ -0,0 +1,366 @@
+.. note::
+ :class: sphx-glr-download-link-note
+
+ Click :ref:`here <sphx_glr_download_tutorials_get_started_relay_quick_start.py>` to download the full example code
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_tutorials_get_started_relay_quick_start.py:
+
+
+.. _tutorial-relay-quick-start:
+
+Quick Start Tutorial for Compiling Deep Learning Models
+=======================================================
+**Author**: `Yao Wang <https://github.com/kevinthesun>`_, `Truman Tian <https://github.com/SiNZeRo>`_
+
+This example shows how to build a neural network with Relay python frontend and
+generates a runtime library for Nvidia GPU with TVM.
+Notice that you need to build TVM with cuda and llvm enabled.
+
+Overview for Supported Hardware Backend of TVM
+----------------------------------------------
+The image below shows hardware backend currently supported by TVM:
+
+.. image:: https://github.com/dmlc/web-data/raw/master/tvm/tutorial/tvm_support_list.png
+ :align: center
+
+In this tutorial, we'll choose cuda and llvm as target backends.
+To begin with, let's import Relay and TVM.
+
+
+.. code-block:: default
+
+
+ import numpy as np
+
+ from tvm import relay
+ from tvm.relay import testing
+ import tvm
+ from tvm import te
+ from tvm.contrib import graph_runtime
+
+
+
+
+
+
+
+Define Neural Network in Relay
+------------------------------
+First, let's define a neural network with relay python frontend.
+For simplicity, we'll use pre-defined resnet-18 network in Relay.
+Parameters are initialized with Xavier initializer.
+Relay also supports other model formats such as MXNet, CoreML, ONNX and
+Tensorflow.
+
+In this tutorial, we assume we will do inference on our device
+and the batch size is set to be 1. Input images are RGB color
+images of size 224 * 224. We can call the :any:`tvm.relay.TupleWrapper.astext()`
+to show the network structure.
+
+
+.. code-block:: default
+
+
+ batch_size = 1
+ num_class = 1000
+ image_shape = (3, 224, 224)
+ data_shape = (batch_size,) + image_shape
+ out_shape = (batch_size, num_class)
+
+ mod, params = relay.testing.resnet.get_workload(
+ num_layers=18, batch_size=batch_size, image_shape=image_shape)
+
+ # set show_meta_data=True if you want to show meta data
+ print(mod.astext(show_meta_data=False))
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ Out:
+
+ .. code-block:: none
+
+ v0.0.4
+ def @main(%data: Tensor[(1, 3, 224, 224), float32], %bn_data_gamma: Tensor[(3), float32], %bn_data_beta: Tensor[(3), float32], %bn_data_moving_mean: Tensor[(3), float32], %bn_data_moving_var: Tensor[(3), float32], %conv0_weight: Tensor[(64, 3, 7, 7), float32], %bn0_gamma: Tensor[(64), float32], %bn0_beta: Tensor[(64), float32], %bn0_moving_mean: Tensor[(64), float32], %bn0_moving_var: Tensor[(64), float32], %stage1_unit1_bn1_gamma: Tensor[(64), float32], %stage1_unit1_bn1_beta: Tenso [...]
+ %0 = nn.batch_norm(%data, %bn_data_gamma, %bn_data_beta, %bn_data_moving_mean, %bn_data_moving_var, epsilon=2e-05f, scale=False) /* ty=(Tensor[(1, 3, 224, 224), float32], Tensor[(3), float32], Tensor[(3), float32]) */;
+ %1 = %0.0;
+ %2 = nn.conv2d(%1, %conv0_weight, strides=[2, 2], padding=[3, 3, 3, 3], channels=64, kernel_size=[7, 7]) /* ty=Tensor[(1, 64, 112, 112), float32] */;
+ %3 = nn.batch_norm(%2, %bn0_gamma, %bn0_beta, %bn0_moving_mean, %bn0_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 64, 112, 112), float32], Tensor[(64), float32], Tensor[(64), float32]) */;
+ %4 = %3.0;
+ %5 = nn.relu(%4) /* ty=Tensor[(1, 64, 112, 112), float32] */;
+ %6 = nn.max_pool2d(%5, pool_size=[3, 3], strides=[2, 2], padding=[1, 1, 1, 1]) /* ty=Tensor[(1, 64, 56, 56), float32] */;
+ %7 = nn.batch_norm(%6, %stage1_unit1_bn1_gamma, %stage1_unit1_bn1_beta, %stage1_unit1_bn1_moving_mean, %stage1_unit1_bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 64, 56, 56), float32], Tensor[(64), float32], Tensor[(64), float32]) */;
+ %8 = %7.0;
+ %9 = nn.relu(%8) /* ty=Tensor[(1, 64, 56, 56), float32] */;
+ %10 = nn.conv2d(%9, %stage1_unit1_conv1_weight, padding=[1, 1, 1, 1], channels=64, kernel_size=[3, 3]) /* ty=Tensor[(1, 64, 56, 56), float32] */;
+ %11 = nn.batch_norm(%10, %stage1_unit1_bn2_gamma, %stage1_unit1_bn2_beta, %stage1_unit1_bn2_moving_mean, %stage1_unit1_bn2_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 64, 56, 56), float32], Tensor[(64), float32], Tensor[(64), float32]) */;
+ %12 = %11.0;
+ %13 = nn.relu(%12) /* ty=Tensor[(1, 64, 56, 56), float32] */;
+ %14 = nn.conv2d(%13, %stage1_unit1_conv2_weight, padding=[1, 1, 1, 1], channels=64, kernel_size=[3, 3]) /* ty=Tensor[(1, 64, 56, 56), float32] */;
+ %15 = nn.conv2d(%9, %stage1_unit1_sc_weight, padding=[0, 0, 0, 0], channels=64, kernel_size=[1, 1]) /* ty=Tensor[(1, 64, 56, 56), float32] */;
+ %16 = add(%14, %15) /* ty=Tensor[(1, 64, 56, 56), float32] */;
+ %17 = nn.batch_norm(%16, %stage1_unit2_bn1_gamma, %stage1_unit2_bn1_beta, %stage1_unit2_bn1_moving_mean, %stage1_unit2_bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 64, 56, 56), float32], Tensor[(64), float32], Tensor[(64), float32]) */;
+ %18 = %17.0;
+ %19 = nn.relu(%18) /* ty=Tensor[(1, 64, 56, 56), float32] */;
+ %20 = nn.conv2d(%19, %stage1_unit2_conv1_weight, padding=[1, 1, 1, 1], channels=64, kernel_size=[3, 3]) /* ty=Tensor[(1, 64, 56, 56), float32] */;
+ %21 = nn.batch_norm(%20, %stage1_unit2_bn2_gamma, %stage1_unit2_bn2_beta, %stage1_unit2_bn2_moving_mean, %stage1_unit2_bn2_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 64, 56, 56), float32], Tensor[(64), float32], Tensor[(64), float32]) */;
+ %22 = %21.0;
+ %23 = nn.relu(%22) /* ty=Tensor[(1, 64, 56, 56), float32] */;
+ %24 = nn.conv2d(%23, %stage1_unit2_conv2_weight, padding=[1, 1, 1, 1], channels=64, kernel_size=[3, 3]) /* ty=Tensor[(1, 64, 56, 56), float32] */;
+ %25 = add(%24, %16) /* ty=Tensor[(1, 64, 56, 56), float32] */;
+ %26 = nn.batch_norm(%25, %stage2_unit1_bn1_gamma, %stage2_unit1_bn1_beta, %stage2_unit1_bn1_moving_mean, %stage2_unit1_bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 64, 56, 56), float32], Tensor[(64), float32], Tensor[(64), float32]) */;
+ %27 = %26.0;
+ %28 = nn.relu(%27) /* ty=Tensor[(1, 64, 56, 56), float32] */;
+ %29 = nn.conv2d(%28, %stage2_unit1_conv1_weight, strides=[2, 2], padding=[1, 1, 1, 1], channels=128, kernel_size=[3, 3]) /* ty=Tensor[(1, 128, 28, 28), float32] */;
+ %30 = nn.batch_norm(%29, %stage2_unit1_bn2_gamma, %stage2_unit1_bn2_beta, %stage2_unit1_bn2_moving_mean, %stage2_unit1_bn2_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 128, 28, 28), float32], Tensor[(128), float32], Tensor[(128), float32]) */;
+ %31 = %30.0;
+ %32 = nn.relu(%31) /* ty=Tensor[(1, 128, 28, 28), float32] */;
+ %33 = nn.conv2d(%32, %stage2_unit1_conv2_weight, padding=[1, 1, 1, 1], channels=128, kernel_size=[3, 3]) /* ty=Tensor[(1, 128, 28, 28), float32] */;
+ %34 = nn.conv2d(%28, %stage2_unit1_sc_weight, strides=[2, 2], padding=[0, 0, 0, 0], channels=128, kernel_size=[1, 1]) /* ty=Tensor[(1, 128, 28, 28), float32] */;
+ %35 = add(%33, %34) /* ty=Tensor[(1, 128, 28, 28), float32] */;
+ %36 = nn.batch_norm(%35, %stage2_unit2_bn1_gamma, %stage2_unit2_bn1_beta, %stage2_unit2_bn1_moving_mean, %stage2_unit2_bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 128, 28, 28), float32], Tensor[(128), float32], Tensor[(128), float32]) */;
+ %37 = %36.0;
+ %38 = nn.relu(%37) /* ty=Tensor[(1, 128, 28, 28), float32] */;
+ %39 = nn.conv2d(%38, %stage2_unit2_conv1_weight, padding=[1, 1, 1, 1], channels=128, kernel_size=[3, 3]) /* ty=Tensor[(1, 128, 28, 28), float32] */;
+ %40 = nn.batch_norm(%39, %stage2_unit2_bn2_gamma, %stage2_unit2_bn2_beta, %stage2_unit2_bn2_moving_mean, %stage2_unit2_bn2_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 128, 28, 28), float32], Tensor[(128), float32], Tensor[(128), float32]) */;
+ %41 = %40.0;
+ %42 = nn.relu(%41) /* ty=Tensor[(1, 128, 28, 28), float32] */;
+ %43 = nn.conv2d(%42, %stage2_unit2_conv2_weight, padding=[1, 1, 1, 1], channels=128, kernel_size=[3, 3]) /* ty=Tensor[(1, 128, 28, 28), float32] */;
+ %44 = add(%43, %35) /* ty=Tensor[(1, 128, 28, 28), float32] */;
+ %45 = nn.batch_norm(%44, %stage3_unit1_bn1_gamma, %stage3_unit1_bn1_beta, %stage3_unit1_bn1_moving_mean, %stage3_unit1_bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 128, 28, 28), float32], Tensor[(128), float32], Tensor[(128), float32]) */;
+ %46 = %45.0;
+ %47 = nn.relu(%46) /* ty=Tensor[(1, 128, 28, 28), float32] */;
+ %48 = nn.conv2d(%47, %stage3_unit1_conv1_weight, strides=[2, 2], padding=[1, 1, 1, 1], channels=256, kernel_size=[3, 3]) /* ty=Tensor[(1, 256, 14, 14), float32] */;
+ %49 = nn.batch_norm(%48, %stage3_unit1_bn2_gamma, %stage3_unit1_bn2_beta, %stage3_unit1_bn2_moving_mean, %stage3_unit1_bn2_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 256, 14, 14), float32], Tensor[(256), float32], Tensor[(256), float32]) */;
+ %50 = %49.0;
+ %51 = nn.relu(%50) /* ty=Tensor[(1, 256, 14, 14), float32] */;
+ %52 = nn.conv2d(%51, %stage3_unit1_conv2_weight, padding=[1, 1, 1, 1], channels=256, kernel_size=[3, 3]) /* ty=Tensor[(1, 256, 14, 14), float32] */;
+ %53 = nn.conv2d(%47, %stage3_unit1_sc_weight, strides=[2, 2], padding=[0, 0, 0, 0], channels=256, kernel_size=[1, 1]) /* ty=Tensor[(1, 256, 14, 14), float32] */;
+ %54 = add(%52, %53) /* ty=Tensor[(1, 256, 14, 14), float32] */;
+ %55 = nn.batch_norm(%54, %stage3_unit2_bn1_gamma, %stage3_unit2_bn1_beta, %stage3_unit2_bn1_moving_mean, %stage3_unit2_bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 256, 14, 14), float32], Tensor[(256), float32], Tensor[(256), float32]) */;
+ %56 = %55.0;
+ %57 = nn.relu(%56) /* ty=Tensor[(1, 256, 14, 14), float32] */;
+ %58 = nn.conv2d(%57, %stage3_unit2_conv1_weight, padding=[1, 1, 1, 1], channels=256, kernel_size=[3, 3]) /* ty=Tensor[(1, 256, 14, 14), float32] */;
+ %59 = nn.batch_norm(%58, %stage3_unit2_bn2_gamma, %stage3_unit2_bn2_beta, %stage3_unit2_bn2_moving_mean, %stage3_unit2_bn2_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 256, 14, 14), float32], Tensor[(256), float32], Tensor[(256), float32]) */;
+ %60 = %59.0;
+ %61 = nn.relu(%60) /* ty=Tensor[(1, 256, 14, 14), float32] */;
+ %62 = nn.conv2d(%61, %stage3_unit2_conv2_weight, padding=[1, 1, 1, 1], channels=256, kernel_size=[3, 3]) /* ty=Tensor[(1, 256, 14, 14), float32] */;
+ %63 = add(%62, %54) /* ty=Tensor[(1, 256, 14, 14), float32] */;
+ %64 = nn.batch_norm(%63, %stage4_unit1_bn1_gamma, %stage4_unit1_bn1_beta, %stage4_unit1_bn1_moving_mean, %stage4_unit1_bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 256, 14, 14), float32], Tensor[(256), float32], Tensor[(256), float32]) */;
+ %65 = %64.0;
+ %66 = nn.relu(%65) /* ty=Tensor[(1, 256, 14, 14), float32] */;
+ %67 = nn.conv2d(%66, %stage4_unit1_conv1_weight, strides=[2, 2], padding=[1, 1, 1, 1], channels=512, kernel_size=[3, 3]) /* ty=Tensor[(1, 512, 7, 7), float32] */;
+ %68 = nn.batch_norm(%67, %stage4_unit1_bn2_gamma, %stage4_unit1_bn2_beta, %stage4_unit1_bn2_moving_mean, %stage4_unit1_bn2_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 512, 7, 7), float32], Tensor[(512), float32], Tensor[(512), float32]) */;
+ %69 = %68.0;
+ %70 = nn.relu(%69) /* ty=Tensor[(1, 512, 7, 7), float32] */;
+ %71 = nn.conv2d(%70, %stage4_unit1_conv2_weight, padding=[1, 1, 1, 1], channels=512, kernel_size=[3, 3]) /* ty=Tensor[(1, 512, 7, 7), float32] */;
+ %72 = nn.conv2d(%66, %stage4_unit1_sc_weight, strides=[2, 2], padding=[0, 0, 0, 0], channels=512, kernel_size=[1, 1]) /* ty=Tensor[(1, 512, 7, 7), float32] */;
+ %73 = add(%71, %72) /* ty=Tensor[(1, 512, 7, 7), float32] */;
+ %74 = nn.batch_norm(%73, %stage4_unit2_bn1_gamma, %stage4_unit2_bn1_beta, %stage4_unit2_bn1_moving_mean, %stage4_unit2_bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 512, 7, 7), float32], Tensor[(512), float32], Tensor[(512), float32]) */;
+ %75 = %74.0;
+ %76 = nn.relu(%75) /* ty=Tensor[(1, 512, 7, 7), float32] */;
+ %77 = nn.conv2d(%76, %stage4_unit2_conv1_weight, padding=[1, 1, 1, 1], channels=512, kernel_size=[3, 3]) /* ty=Tensor[(1, 512, 7, 7), float32] */;
+ %78 = nn.batch_norm(%77, %stage4_unit2_bn2_gamma, %stage4_unit2_bn2_beta, %stage4_unit2_bn2_moving_mean, %stage4_unit2_bn2_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 512, 7, 7), float32], Tensor[(512), float32], Tensor[(512), float32]) */;
+ %79 = %78.0;
+ %80 = nn.relu(%79) /* ty=Tensor[(1, 512, 7, 7), float32] */;
+ %81 = nn.conv2d(%80, %stage4_unit2_conv2_weight, padding=[1, 1, 1, 1], channels=512, kernel_size=[3, 3]) /* ty=Tensor[(1, 512, 7, 7), float32] */;
+ %82 = add(%81, %73) /* ty=Tensor[(1, 512, 7, 7), float32] */;
+ %83 = nn.batch_norm(%82, %bn1_gamma, %bn1_beta, %bn1_moving_mean, %bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 512, 7, 7), float32], Tensor[(512), float32], Tensor[(512), float32]) */;
+ %84 = %83.0;
+ %85 = nn.relu(%84) /* ty=Tensor[(1, 512, 7, 7), float32] */;
+ %86 = nn.global_avg_pool2d(%85) /* ty=Tensor[(1, 512, 1, 1), float32] */;
+ %87 = nn.batch_flatten(%86) /* ty=Tensor[(1, 512), float32] */;
+ %88 = nn.dense(%87, %fc1_weight, units=1000) /* ty=Tensor[(1, 1000), float32] */;
+ %89 = nn.bias_add(%88, %fc1_bias, axis=-1) /* ty=Tensor[(1, 1000), float32] */;
+ nn.softmax(%89) /* ty=Tensor[(1, 1000), float32] */
+ }
+
+
+
+
+Compilation
+-----------
+Next step is to compile the model using the Relay/TVM pipeline.
+Users can specify the optimization level of the compilation.
+Currently this value can be 0 to 3. The optimization passes include
+operator fusion, pre-computation, layout transformation and so on.
+
+:py:func:`relay.build` returns three components: the execution graph in
+json format, the TVM module library of compiled functions specifically
+for this graph on the target hardware, and the parameter blobs of
+the model. During the compilation, Relay does the graph-level
+optimization while TVM does the tensor-level optimization, resulting
+in an optimized runtime module for model serving.
+
+We'll first compile for Nvidia GPU. Behind the scene, :py:func:`relay.build`
+first does a number of graph-level optimizations, e.g. pruning, fusing, etc.,
+then registers the operators (i.e. the nodes of the optimized graphs) to
+TVM implementations to generate a `tvm.module`.
+To generate the module library, TVM will first transfer the high level IR
+into the lower intrinsic IR of the specified target backend, which is CUDA
+in this example. Then the machine code will be generated as the module library.
+
+
+.. code-block:: default
+
+
+ opt_level = 3
+ target = tvm.target.cuda()
+ with tvm.transform.PassContext(opt_level=opt_level):
+ graph, lib, params = relay.build(mod, target, params=params)
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ Out:
+
+ .. code-block:: none
+
+
...1%, 0.01 MB, 30 KB/s, 0 seconds passed
...3%, 0.02 MB, 60 KB/s, 0 seconds passed
...5%, 0.02 MB, 90 KB/s, 0 seconds passed
...7%, 0.03 MB, 119 KB/s, 0 seconds passed
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...41%, 0.16 MB, 615 KB/s, 0 seconds pas
sed
...43%, 0.17 MB, 644 KB/s, 0 seconds passed
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...83%, 0.33 MB, 1206
KB/s, 0 seconds passed
...85%, 0.34 MB, 1234 KB/s, 0 seconds passed
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...97%, 0.38 MB, 1402 KB/s, 0 seconds passed
...99%, 0.39 MB, 1429 KB/s, 0 seconds passed
...100%, 0.40 MB, 1456 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.
+
+
+
+Run the generate library
+------------------------
+Now we can create graph runtime and run the module on Nvidia GPU.
+
+
+.. code-block:: default
+
+
+ # create random input
+ ctx = tvm.gpu()
+ data = np.random.uniform(-1, 1, size=data_shape).astype("float32")
+ # create module
+ module = graph_runtime.create(graph, lib, ctx)
+ # set input and parameters
+ module.set_input("data", data)
+ module.set_input(**params)
+ # run
+ module.run()
+ # get output
+ out = module.get_output(0, tvm.nd.empty(out_shape)).asnumpy()
+
+ # Print first 10 elements of output
+ print(out.flatten()[0:10])
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ Out:
+
+ .. code-block:: none
+
+ [0.00089283 0.00103331 0.0009094 0.00102275 0.00108751 0.00106737
+ 0.00106262 0.00095838 0.00110792 0.00113151]
+
+
+
+Save and Load Compiled Module
+-----------------------------
+We can also save the graph, lib and parameters into files and load them
+back in deploy environment.
+
+
+.. code-block:: default
+
+
+ # save the graph, lib and params into separate files
+ from tvm.contrib import util
+
+ temp = util.tempdir()
+ path_lib = temp.relpath("deploy_lib.tar")
+ lib.export_library(path_lib)
+ with open(temp.relpath("deploy_graph.json"), "w") as fo:
+ fo.write(graph)
+ with open(temp.relpath("deploy_param.params"), "wb") as fo:
+ fo.write(relay.save_param_dict(params))
+ print(temp.listdir())
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ Out:
+
+ .. code-block:: none
+
+ ['deploy_lib.tar', 'deploy_param.params', 'deploy_graph.json']
+
+
+
+
+.. code-block:: default
+
+
+ # load the module back.
+ loaded_json = open(temp.relpath("deploy_graph.json")).read()
+ loaded_lib = tvm.runtime.load_module(path_lib)
+ loaded_params = bytearray(open(temp.relpath("deploy_param.params"), "rb").read())
+ input_data = tvm.nd.array(np.random.uniform(size=data_shape).astype("float32"))
+
+ module = graph_runtime.create(loaded_json, loaded_lib, ctx)
+ module.load_params(loaded_params)
+ module.run(data=input_data)
+ out_deploy = module.get_output(0).asnumpy()
+
+ # Print first 10 elements of output
+ print(out_deploy.flatten()[0:10])
+
+ # check whether the output from deployed module is consistent with original one
+ tvm.testing.assert_allclose(out_deploy, out, atol=1e-3)
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ Out:
+
+ .. code-block:: none
+
+ [0.00090713 0.00105705 0.00094459 0.00103146 0.00110017 0.00105846
+ 0.00104143 0.00095862 0.0010827 0.00111618]
+
+
+
+
+.. _sphx_glr_download_tutorials_get_started_relay_quick_start.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+ :class: sphx-glr-footer-example
+
+
+
+ .. container:: sphx-glr-download
+
+ :download:`Download Python source code: relay_quick_start.py <relay_quick_start.py>`
+
+
+
+ .. container:: sphx-glr-download
+
+ :download:`Download Jupyter notebook: relay_quick_start.ipynb <relay_quick_start.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+ `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/docs/_sources/tutorials/get_started/sg_execution_times.rst.txt b/docs/_sources/tutorials/get_started/sg_execution_times.rst.txt
new file mode 100644
index 0000000..5ba5da9
--- /dev/null
+++ b/docs/_sources/tutorials/get_started/sg_execution_times.rst.txt
@@ -0,0 +1,12 @@
+
+:orphan:
+
+.. _sphx_glr_tutorials_get_started_sg_execution_times:
+
+Computation times
+=================
+**00:10.604** total execution time for **tutorials_get_started** files:
+
+- **00:10.090**: :ref:`sphx_glr_tutorials_get_started_relay_quick_start.py` (``relay_quick_start.py``)
+- **00:00.370**: :ref:`sphx_glr_tutorials_get_started_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)
+- **00:00.144**: :ref:`sphx_glr_tutorials_get_started_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.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
new file mode 100644
index 0000000..eb64516
--- /dev/null
+++ b/docs/_sources/tutorials/get_started/tensor_expr_get_started.rst.txt
@@ -0,0 +1,476 @@
+.. note::
+ :class: sphx-glr-download-link-note
+
+ Click :ref:`here <sphx_glr_download_tutorials_get_started_tensor_expr_get_started.py>` to download the full example code
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_tutorials_get_started_tensor_expr_get_started.py:
+
+
+.. _tutorial-tensor-expr-get-started:
+
+Get Started with Tensor Expression
+==================================
+**Author**: `Tianqi Chen <https://tqchen.github.io>`_
+
+This is an introductory tutorial to the Tensor expression language in TVM.
+TVM uses a domain specific tensor expression for efficient kernel construction.
+
+In this tutorial, we will demonstrate the basic workflow to use
+the tensor expression language.
+
+
+.. code-block:: default
+
+ from __future__ import absolute_import, print_function
+
+ import tvm
+ from tvm import te
+ import numpy as np
+
+ # Global declarations of environment.
+
+ tgt_host="llvm"
+ # Change it to respective GPU if gpu is enabled Ex: cuda, opencl, rocm
+ tgt="cuda"
+
+
+
+
+
+
+
+Vector Add Example
+------------------
+In this tutorial, we will use a vector addition example to demonstrate
+the workflow.
+
+
+Describe the Computation
+------------------------
+As a first step, we need to describe our computation.
+TVM adopts tensor semantics, with each intermediate result
+represented as a multi-dimensional array. The user needs to describe
+the computation rule that generates the tensors.
+
+We first define a symbolic variable n to represent the shape.
+We then define two placeholder Tensors, A and B, with given shape (n,)
+
+We then describe the result tensor C, with a compute operation. The
+compute function takes the shape of the tensor, as well as a lambda
+function that describes the computation rule for each position of
+the tensor.
+
+No computation happens during this phase, as we are only declaring how
+the computation should be done.
+
+
+
+.. code-block:: default
+
+ n = te.var("n")
+ A = te.placeholder((n,), name='A')
+ B = te.placeholder((n,), name='B')
+ C = te.compute(A.shape, lambda i: A[i] + B[i], name="C")
+ print(type(C))
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ Out:
+
+ .. code-block:: none
+
+ <class 'tvm.te.tensor.Tensor'>
+
+
+
+Schedule the Computation
+------------------------
+While the above lines describe the computation rule, we can compute
+C in many ways since the axis of C can be computed in a data
+parallel manner. TVM asks the user to provide a description of the
+computation called a schedule.
+
+A schedule is a set of transformation of computation that transforms
+the loop of computations in the program.
+
+After we construct the schedule, by default the schedule computes
+C in a serial manner in a row-major order.
+
+.. code-block:: c
+
+ for (int i = 0; i < n; ++i) {
+ C[i] = A[i] + B[i];
+ }
+
+
+
+.. code-block:: default
+
+ s = te.create_schedule(C.op)
+
+
+
+
+
+
+
+We used the split construct to split the first axis of C,
+this will split the original iteration axis into product of
+two iterations. This is equivalent to the following code.
+
+.. code-block:: c
+
+ for (int bx = 0; bx < ceil(n / 64); ++bx) {
+ for (int tx = 0; tx < 64; ++tx) {
+ int i = bx * 64 + tx;
+ if (i < n) {
+ C[i] = A[i] + B[i];
+ }
+ }
+ }
+
+
+
+.. code-block:: default
+
+ bx, tx = s[C].split(C.op.axis[0], factor=64)
+
+
+
+
+
+
+
+Finally we bind the iteration axis bx and tx to threads in the GPU
+compute grid. These are GPU specific constructs that allow us
+to generate code that runs on GPU.
+
+
+
+.. code-block:: default
+
+ if tgt == "cuda" or tgt == "rocm" or tgt.startswith('opencl'):
+ s[C].bind(bx, te.thread_axis("blockIdx.x"))
+ s[C].bind(tx, te.thread_axis("threadIdx.x"))
+
+
+
+
+
+
+
+Compilation
+-----------
+After we have finished specifying the schedule, we can compile it
+into a TVM function. By default TVM compiles into a type-erased
+function that can be directly called from the python side.
+
+In the following line, we use tvm.build to create a function.
+The build function takes the schedule, the desired signature of the
+function (including the inputs and outputs) as well as target language
+we want to compile to.
+
+The result of compilation fadd is a GPU device function (if GPU is
+involved) as well as a host wrapper that calls into the GPU
+function. fadd is the generated host wrapper function, it contains
+a reference to the generated device function internally.
+
+
+
+.. code-block:: default
+
+ fadd = tvm.build(s, [A, B, C], tgt, target_host=tgt_host, name="myadd")
+
+
+
+
+
+
+
+Run the Function
+----------------
+The compiled TVM function is exposes a concise C API
+that can be invoked from any language.
+
+We provide a minimal array API in python to aid quick testing and prototyping.
+The array API is based on the `DLPack <https://github.com/dmlc/dlpack>`_ standard.
+
+- We first create a GPU context.
+- Then tvm.nd.array copies the data to the GPU.
+- fadd runs the actual computation.
+- asnumpy() copies the GPU array back to the CPU and we can use this to verify correctness
+
+
+
+.. code-block:: default
+
+ ctx = tvm.context(tgt, 0)
+
+ n = 1024
+ a = tvm.nd.array(np.random.uniform(size=n).astype(A.dtype), ctx)
+ b = tvm.nd.array(np.random.uniform(size=n).astype(B.dtype), ctx)
+ c = tvm.nd.array(np.zeros(n, dtype=C.dtype), ctx)
+ fadd(a, b, c)
+ tvm.testing.assert_allclose(c.asnumpy(), a.asnumpy() + b.asnumpy())
+
+
+
+
+
+
+
+Inspect the Generated Code
+--------------------------
+You can inspect the generated code in TVM. The result of tvm.build
+is a TVM Module. fadd is the host module that contains the host wrapper,
+it also contains a device module for the CUDA (GPU) function.
+
+The following code fetches the device module and prints the content code.
+
+
+
+.. code-block:: default
+
+ if tgt == "cuda" or tgt == "rocm" or tgt.startswith('opencl'):
+ dev_module = fadd.imported_modules[0]
+ print("-----GPU code-----")
+ print(dev_module.get_source())
+ else:
+ print(fadd.get_source())
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ Out:
+
+ .. code-block:: none
+
+ -----GPU code-----
+ extern "C" __global__ void myadd_kernel0(void* __restrict__ C, void* __restrict__ A, void* __restrict__ B, int n, int stride, int stride1, int stride2) {
+ if (((int)blockIdx.x) < (n >> 6)) {
+ ((float*)C)[((((((int)blockIdx.x) * 64) + ((int)threadIdx.x)) * stride2))] = (((float*)A)[((((((int)blockIdx.x) * 64) + ((int)threadIdx.x)) * stride))] + ((float*)B)[((((((int)blockIdx.x) * 64) + ((int)threadIdx.x)) * stride1))]);
+ } else {
+ if (((((int)blockIdx.x) * 64) + ((int)threadIdx.x)) < n) {
+ ((float*)C)[((((((int)blockIdx.x) * 64) + ((int)threadIdx.x)) * stride2))] = (((float*)A)[((((((int)blockIdx.x) * 64) + ((int)threadIdx.x)) * stride))] + ((float*)B)[((((((int)blockIdx.x) * 64) + ((int)threadIdx.x)) * stride1))]);
+ }
+ }
+ }
+
+
+
+
+
+.. note:: Code Specialization
+
+ As you may have noticed, the declarations of A, B and C all
+ take the same shape argument, n. TVM will take advantage of this
+ to pass only a single shape argument to the kernel, as you will find in
+ the printed device code. This is one form of specialization.
+
+ On the host side, TVM will automatically generate check code
+ that checks the constraints in the parameters. So if you pass
+ arrays with different shapes into fadd, an error will be raised.
+
+ We can do more specializations. For example, we can write
+ :code:`n = tvm.runtime.convert(1024)` instead of :code:`n = te.var("n")`,
+ in the computation declaration. The generated function will
+ only take vectors with length 1024.
+
+
+Save Compiled Module
+--------------------
+Besides runtime compilation, we can save the compiled modules into
+a file and load them back later. This is called ahead of time compilation.
+
+The following code first performs the following steps:
+
+- It saves the compiled host module into an object file.
+- Then it saves the device module into a ptx file.
+- cc.create_shared calls a compiler (gcc) to create a shared library
+
+
+
+.. code-block:: default
+
+ from tvm.contrib import cc
+ from tvm.contrib import util
+
+ temp = util.tempdir()
+ fadd.save(temp.relpath("myadd.o"))
+ if tgt == "cuda":
+ fadd.imported_modules[0].save(temp.relpath("myadd.ptx"))
+ if tgt == "rocm":
+ fadd.imported_modules[0].save(temp.relpath("myadd.hsaco"))
+ if tgt.startswith('opencl'):
+ fadd.imported_modules[0].save(temp.relpath("myadd.cl"))
+ cc.create_shared(temp.relpath("myadd.so"), [temp.relpath("myadd.o")])
+ print(temp.listdir())
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ Out:
+
+ .. code-block:: none
+
+ ['myadd.tvm_meta.json', 'myadd.so', 'myadd.ptx', 'myadd.o']
+
+
+
+.. note:: Module Storage Format
+
+ The CPU (host) module is directly saved as a shared library (.so).
+ There can be multiple customized formats of the device code.
+ In our example, the device code is stored in ptx, as well as a meta
+ data json file. They can be loaded and linked separately via import.
+
+
+Load Compiled Module
+--------------------
+We can load the compiled module from the file system and run the code.
+The following code loads the host and device module separately and
+re-links them together. We can verify that the newly loaded function works.
+
+
+
+.. code-block:: default
+
+ fadd1 = tvm.runtime.load_module(temp.relpath("myadd.so"))
+ if tgt == "cuda":
+ fadd1_dev = tvm.runtime.load_module(temp.relpath("myadd.ptx"))
+ fadd1.import_module(fadd1_dev)
+
+ if tgt == "rocm":
+ fadd1_dev = tvm.runtime.load_module(temp.relpath("myadd.hsaco"))
+ fadd1.import_module(fadd1_dev)
+
+ if tgt.startswith('opencl'):
+ fadd1_dev = tvm.runtime.load_module(temp.relpath("myadd.cl"))
+ fadd1.import_module(fadd1_dev)
+
+ fadd1(a, b, c)
+ tvm.testing.assert_allclose(c.asnumpy(), a.asnumpy() + b.asnumpy())
+
+
+
+
+
+
+
+Pack Everything into One Library
+--------------------------------
+In the above example, we store the device and host code separately.
+TVM also supports export everything as one shared library.
+Under the hood, we pack the device modules into binary blobs and link
+them together with the host code.
+Currently we support packing of Metal, OpenCL and CUDA modules.
+
+
+
+.. code-block:: default
+
+ fadd.export_library(temp.relpath("myadd_pack.so"))
+ fadd2 = tvm.runtime.load_module(temp.relpath("myadd_pack.so"))
+ fadd2(a, b, c)
+ tvm.testing.assert_allclose(c.asnumpy(), a.asnumpy() + b.asnumpy())
+
+
+
+
+
+
+
+.. note:: Runtime API and Thread-Safety
+
+ The compiled modules of TVM do not depend on the TVM compiler.
+ Instead, they only depend on a minimum runtime library.
+ The TVM runtime library wraps the device drivers and provides
+ thread-safe and device agnostic calls into the compiled functions.
+
+ This means that you can call the compiled TVM functions from any thread,
+ on any GPUs.
+
+
+Generate OpenCL Code
+--------------------
+TVM provides code generation features into multiple backends,
+we can also generate OpenCL code or LLVM code that runs on CPU backends.
+
+The following code blocks generate OpenCL code, creates array on an OpenCL
+device, and verifies the correctness of the code.
+
+
+
+.. code-block:: default
+
+ if tgt.startswith('opencl'):
+ fadd_cl = tvm.build(s, [A, B, C], tgt, name="myadd")
+ print("------opencl code------")
+ print(fadd_cl.imported_modules[0].get_source())
+ ctx = tvm.cl(0)
+ n = 1024
+ a = tvm.nd.array(np.random.uniform(size=n).astype(A.dtype), ctx)
+ b = tvm.nd.array(np.random.uniform(size=n).astype(B.dtype), ctx)
+ c = tvm.nd.array(np.zeros(n, dtype=C.dtype), ctx)
+ fadd_cl(a, b, c)
+ tvm.testing.assert_allclose(c.asnumpy(), a.asnumpy() + b.asnumpy())
+
+
+
+
+
+
+
+Summary
+-------
+This tutorial provides a walk through of TVM workflow using
+a vector add example. The general workflow is
+
+- Describe your computation via a series of operations.
+- Describe how we want to compute use schedule primitives.
+- Compile to the target function we want.
+- Optionally, save the function to be loaded later.
+
+You are more than welcome to checkout other examples and
+tutorials to learn more about the supported operations, scheduling primitives
+and other features in TVM.
+
+
+
+.. _sphx_glr_download_tutorials_get_started_tensor_expr_get_started.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+ :class: sphx-glr-footer-example
+
+
+
+ .. container:: sphx-glr-download
+
+ :download:`Download Python source code: tensor_expr_get_started.py <tensor_expr_get_started.py>`
+
+
+
+ .. container:: sphx-glr-download
+
+ :download:`Download Jupyter notebook: tensor_expr_get_started.ipynb <tensor_expr_get_started.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+ `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/docs/_sources/tutorials/index.rst.txt b/docs/_sources/tutorials/index.rst.txt
index d77c32c..40a8f65 100644
--- a/docs/_sources/tutorials/index.rst.txt
+++ b/docs/_sources/tutorials/index.rst.txt
@@ -4,9 +4,19 @@
.. _sphx_glr_tutorials:
-Tutorials
-=========
-This page contains the tutorials about TVM.
+
+
+
+.. raw:: html
+
+ <div style='clear:both'></div>
+
+
+
+.. _sphx_glr_tutorials_get_started:
+
+Get Started Tutorials
+---------------------
@@ -16,9 +26,9 @@ This page contains the tutorials about TVM.
.. only:: html
- .. figure:: /tutorials/images/thumb/sphx_glr_relay_quick_start_thumb.png
+ .. figure:: /tutorials/get_started/images/thumb/sphx_glr_relay_quick_start_thumb.png
- :ref:`sphx_glr_tutorials_relay_quick_start.py`
+ :ref:`sphx_glr_tutorials_get_started_relay_quick_start.py`
.. raw:: html
@@ -28,7 +38,7 @@ This page contains the tutorials about TVM.
.. toctree::
:hidden:
- /tutorials/relay_quick_start
+ /tutorials/get_started/relay_quick_start
.. raw:: html
@@ -36,9 +46,9 @@ This page contains the tutorials about TVM.
.. only:: html
- .. figure:: /tutorials/images/thumb/sphx_glr_cross_compilation_and_rpc_thumb.png
+ .. figure:: /tutorials/get_started/images/thumb/sphx_glr_cross_compilation_and_rpc_thumb.png
- :ref:`sphx_glr_tutorials_cross_compilation_and_rpc.py`
+ :ref:`sphx_glr_tutorials_get_started_cross_compilation_and_rpc.py`
.. raw:: html
@@ -48,7 +58,7 @@ This page contains the tutorials about TVM.
.. toctree::
:hidden:
- /tutorials/cross_compilation_and_rpc
+ /tutorials/get_started/cross_compilation_and_rpc
.. raw:: html
@@ -56,9 +66,9 @@ This page contains the tutorials about TVM.
.. only:: html
- .. figure:: /tutorials/images/thumb/sphx_glr_tensor_expr_get_started_thumb.png
+ .. figure:: /tutorials/get_started/images/thumb/sphx_glr_tensor_expr_get_started_thumb.png
- :ref:`sphx_glr_tutorials_tensor_expr_get_started.py`
+ :ref:`sphx_glr_tutorials_get_started_tensor_expr_get_started.py`
.. raw:: html
@@ -68,7 +78,7 @@ This page contains the tutorials about TVM.
.. toctree::
:hidden:
- /tutorials/tensor_expr_get_started
+ /tutorials/get_started/tensor_expr_get_started
.. raw:: html
<div style='clear:both'></div>
diff --git a/docs/_sources/tutorials/language/reduction.rst.txt b/docs/_sources/tutorials/language/reduction.rst.txt
index 33fc22c..5938d1e 100644
--- a/docs/_sources/tutorials/language/reduction.rst.txt
+++ b/docs/_sources/tutorials/language/reduction.rst.txt
@@ -412,8 +412,8 @@ Here is an example for 2D convolution with filter size = [3, 3] and strides = [1
primfn(Input_1: handle, Filter_1: handle, Output_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {Filter: Buffer(Filter_2: handle, float32, [3, 3], []),
- Output: Buffer(Output_2: handle, float32, [(n: int32 - 2), (n - 2)], []),
+ buffers = {Output: Buffer(Output_2: handle, float32, [(n: int32 - 2), (n - 2)], []),
+ Filter: Buffer(Filter_2: handle, float32, [3, 3], []),
Input: Buffer(Input_2: handle, float32, [n, n], [stride: int32, stride_1: int32], type="auto")}
buffer_map = {Input_1: Input, Filter_1: Filter, Output_1: Output} {
for (i: int32, 0, (n - 2)) {
diff --git a/docs/_sources/tutorials/language/schedule_primitives.rst.txt b/docs/_sources/tutorials/language/schedule_primitives.rst.txt
index 3a63f3f..17a1490 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 = {B: Buffer(B_2: handle, float32, [m: int32, n: int32], [stride: int32, stride_1: int32], type="auto"),
- C: Buffer(C_2: handle, float32, [m, n], [stride_2: int32, stride_3: int32], type="auto"),
+ buffers = {C: Buffer(C_2: handle, float32, [m: int32, n: int32], [stride: int32, stride_1: int32], type="auto"),
+ B: Buffer(B_2: handle, float32, [m, n], [stride_2: int32, stride_3: int32], type="auto"),
A: Buffer(A_2: handle, 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_2) + (j*stride_3))] = ((float32*)A_2[((i*stride_4) + (j*stride_5))]*(float32*)B_2[((i*stride) + (j*stride_1))])
+ 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))])
}
}
}
@@ -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: handle, float32, [m: int32], [stride: int32], type="auto"),
- C: Buffer(C_2: handle, float32, [m], [stride_1: int32], type="auto"),
+ buffers = {C: Buffer(C_2: handle, float32, [m: int32], [stride: int32], type="auto"),
+ B: Buffer(B_2: handle, float32, [m], [stride_1: int32], type="auto"),
A: Buffer(A_2: handle, 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)
}
}
diff --git a/docs/_sources/tutorials/language/sg_execution_times.rst.txt b/docs/_sources/tutorials/language/sg_execution_times.rst.txt
index 5ab5927..daf0e61 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
=================
-**00:04.380** total execution time for **tutorials_language** files:
+**00:04.886** total execution time for **tutorials_language** files:
-- **00:01.597**: :ref:`sphx_glr_tutorials_language_intrin_math.py` (``intrin_math.py``)
-- **00:00.776**: :ref:`sphx_glr_tutorials_language_tensorize.py` (``tensorize.py``)
-- **00:00.576**: :ref:`sphx_glr_tutorials_language_scan.py` (``scan.py``)
-- **00:00.551**: :ref:`sphx_glr_tutorials_language_reduction.py` (``reduction.py``)
-- **00:00.285**: :ref:`sphx_glr_tutorials_language_extern_op.py` (``extern_op.py``)
-- **00:00.226**: :ref:`sphx_glr_tutorials_language_schedule_primitives.py` (``schedule_primitives.py``)
-- **00:00.199**: :ref:`sphx_glr_tutorials_language_tedd.py` (``tedd.py``)
-- **00:00.169**: :ref:`sphx_glr_tutorials_language_tuple_inputs.py` (``tuple_inputs.py``)
+- **00:01.799**: :ref:`sphx_glr_tutorials_language_intrin_math.py` (``intrin_math.py``)
+- **00:00.883**: :ref:`sphx_glr_tutorials_language_tensorize.py` (``tensorize.py``)
+- **00:00.702**: :ref:`sphx_glr_tutorials_language_reduction.py` (``reduction.py``)
+- **00:00.635**: :ref:`sphx_glr_tutorials_language_scan.py` (``scan.py``)
+- **00:00.292**: :ref:`sphx_glr_tutorials_language_extern_op.py` (``extern_op.py``)
+- **00:00.196**: :ref:`sphx_glr_tutorials_language_schedule_primitives.py` (``schedule_primitives.py``)
+- **00:00.189**: :ref:`sphx_glr_tutorials_language_tedd.py` (``tedd.py``)
+- **00:00.189**: :ref:`sphx_glr_tutorials_language_tuple_inputs.py` (``tuple_inputs.py``)
diff --git a/docs/_sources/tutorials/language/tensorize.rst.txt b/docs/_sources/tutorials/language/tensorize.rst.txt
index ef21c94..fdd8e6f 100644
--- a/docs/_sources/tutorials/language/tensorize.rst.txt
+++ b/docs/_sources/tutorials/language/tensorize.rst.txt
@@ -236,8 +236,8 @@ such placeholder can be put to let TVM automatically bind the inferred value for
primfn(A_1: handle, B_1: handle, C_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {B: Buffer(B_2: handle, float32, [512, 64], []),
- C: Buffer(C_2: handle, float32, [1024, 512], []),
+ buffers = {C: Buffer(C_2: handle, float32, [1024, 512], []),
+ B: Buffer(B_2: handle, float32, [512, 64], []),
A: Buffer(A_2: handle, float32, [1024, 64], [])}
buffer_map = {A_1: A, B_1: B, C_1: C} {
for (i: int32, 0, 1024) {
@@ -310,8 +310,8 @@ The importing needs to happen before the tensorized GEMV being executed.
B: Buffer(B_2: handle, float32, [512, 64], []),
A: Buffer(A_2: handle, 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/tmppkc5n6yq/input0.cc'
- source_filename = "/tmp/tmppkc5n6yq/input0.cc"
+ attr [IterVar(i: int32, (nullptr), "DataPar", "")] "pragma_import_llvm" = "; ModuleID = '/tmp/tmp5q4wbz2s/input0.cc'
+ source_filename = "/tmp/tmp5q4wbz2s/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 2207efc..f0ece51 100644
--- a/docs/_sources/tutorials/language/tuple_inputs.rst.txt
+++ b/docs/_sources/tutorials/language/tuple_inputs.rst.txt
@@ -64,15 +64,15 @@ together in the next schedule procedure.
primfn(A0_1: handle, A1_1: handle, B.v0_1: handle, B.v1_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {B.v1: Buffer(B.v1_2: handle, float32, [m: int32, n: int32], [stride: int32, stride_1: int32], type="auto"),
- B.v0: Buffer(B.v0_2: handle, float32, [m, n], [stride_2: int32, stride_3: int32], type="auto"),
- A1: Buffer(A1_2: handle, float32, [m, n], [stride_4: int32, stride_5: int32], type="auto"),
+ buffers = {B.v0: Buffer(B.v0_2: handle, float32, [m: int32, n: int32], [stride: int32, stride_1: int32], type="auto"),
+ A1: Buffer(A1_2: handle, float32, [m, n], [stride_2: int32, stride_3: int32], type="auto"),
+ B.v1: Buffer(B.v1_2: handle, float32, [m, n], [stride_4: int32, stride_5: int32], type="auto"),
A0: Buffer(A0_2: handle, float32, [m, n], [stride_6: int32, stride_7: int32], type="auto")}
buffer_map = {A0_1: A0, A1_1: A1, B.v0_1: B.v0, B.v1_1: B.v1} {
for (i: int32, 0, m) {
for (j: int32, 0, n) {
- B.v0_2[((i*stride_2) + (j*stride_3))] = ((float32*)A0_2[((i*stride_6) + (j*stride_7))] + 2f32)
- B.v1_2[((i*stride) + (j*stride_1))] = ((float32*)A1_2[((i*stride_4) + (j*stride_5))]*3f32)
+ B.v0_2[((i*stride) + (j*stride_1))] = ((float32*)A0_2[((i*stride_6) + (j*stride_7))] + 2f32)
+ B.v1_2[((i*stride_4) + (j*stride_5))] = ((float32*)A1_2[((i*stride_2) + (j*stride_3))]*3f32)
}
}
}
@@ -133,17 +133,17 @@ 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.v0: Buffer(T.v0_2: handle, int32, [m: int32], [stride: int32], type="auto"),
- T.v1: Buffer(T.v1_2: handle, int32, [m], [stride_1: int32], type="auto"),
- val: Buffer(val_2: handle, int32, [m, n: int32], [stride_2: int32, stride_3: int32], type="auto"),
+ buffers = {val: Buffer(val_2: handle, int32, [m: int32, n: int32], [stride: int32, stride_1: int32], type="auto"),
+ T.v1: Buffer(T.v1_2: handle, int32, [m], [stride_2: int32], type="auto"),
+ T.v0: Buffer(T.v0_2: handle, int32, [m], [stride_3: int32], type="auto"),
idx: Buffer(idx_2: handle, 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)] = -1
- T.v1_2[(i*stride_1)] = -2147483648
+ T.v0_2[(i*stride_3)] = -1
+ T.v1_2[(i*stride_2)] = -2147483648
for (k: int32, 0, n) {
- T.v0_2[(i*stride)] = @tir.if_then_else(((int32*)val_2[((i*stride_2) + (k*stride_3))] <= (int32*)T.v1_2[(i*stride_1)]), (int32*)T.v0_2[(i*stride)], (int32*)idx_2[((i*stride_4) + (k*stride_5))], dtype=int32)
- T.v1_2[(i*stride_1)] = @tir.if_then_else(((int32*)val_2[((i*stride_2) + (k*stride_3))] <= (int32*)T.v1_2[(i*stride_1)]), (int32*)T.v1_2[(i*stride_1)], (int32*)val_2[((i*stride_2) + (k*stride_3))], dtype=int32)
+ T.v0_2[(i*stride_3)] = @tir.if_then_else(((int32*)val_2[((i*stride) + (k*stride_1))] <= (int32*)T.v1_2[(i*stride_2)]), (int32*)T.v0_2[(i*stride_3)], (int32*)idx_2[((i*stride_4) + (k*stride_5))], dtype=int32)
+ T.v1_2[(i*stride_2)] = @tir.if_then_else(((int32*)val_2[((i*stride) + (k*stride_1))] <= (int32*)T.v1_2[(i*stride_2)]), (int32*)T.v1_2[(i*stride_2)], (int32*)val_2[((i*stride) + (k*stride_1))], dtype=int32)
}
}
}
@@ -191,8 +191,8 @@ in terms of operation.
primfn(A0_1: handle, A1_1: handle, C_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {C: Buffer(C_2: handle, float32, [m: int32, n: int32], [stride: int32, stride_1: int32], type="auto"),
- A1: Buffer(A1_2: handle, float32, [m, n], [stride_2: int32, stride_3: int32], type="auto"),
+ buffers = {A1: Buffer(A1_2: handle, float32, [m: int32, n: int32], [stride: int32, stride_1: int32], type="auto"),
+ C: Buffer(C_2: handle, float32, [m, n], [stride_2: int32, stride_3: int32], type="auto"),
A0: Buffer(A0_2: handle, float32, [m, n], [stride_4: int32, stride_5: int32], type="auto")}
buffer_map = {A0_1: A0, A1_1: A1, C_1: C} {
attr [B.v0: handle] "storage_scope" = "global";
@@ -205,7 +205,7 @@ in terms of operation.
B.v1[j] = ((float32*)A0_2[((i*stride_4) + (j*stride_5))]*3f32)
}
for (j_1: int32, 0, n) {
- C_2[((i*stride) + (j_1*stride_1))] = ((float32*)A1_2[((i*stride_2) + (j_1*stride_3))] + (float32*)B.v0[j_1])
+ C_2[((i*stride_2) + (j_1*stride_3))] = ((float32*)A1_2[((i*stride) + (j_1*stride_1))] + (float32*)B.v0[j_1])
}
}
}
diff --git a/docs/_sources/tutorials/micro/sg_execution_times.rst.txt b/docs/_sources/tutorials/micro/sg_execution_times.rst.txt
index c87cd81..7a1d651 100644
--- a/docs/_sources/tutorials/micro/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorials/micro/sg_execution_times.rst.txt
@@ -5,6 +5,6 @@
Computation times
=================
-**00:00.205** total execution time for **tutorials_micro** files:
+**00:00.179** total execution time for **tutorials_micro** files:
-- **00:00.205**: :ref:`sphx_glr_tutorials_micro_micro_tflite.py` (``micro_tflite.py``)
+- **00:00.179**: :ref:`sphx_glr_tutorials_micro_micro_tflite.py` (``micro_tflite.py``)
diff --git a/docs/_sources/tutorials/optimize/opt_conv_cuda.rst.txt b/docs/_sources/tutorials/optimize/opt_conv_cuda.rst.txt
index db8ee8f..94fcc46 100644
--- a/docs/_sources/tutorials/optimize/opt_conv_cuda.rst.txt
+++ b/docs/_sources/tutorials/optimize/opt_conv_cuda.rst.txt
@@ -293,7 +293,7 @@ latency of convolution.
.. code-block:: none
- Convolution: 53.268910 ms
+ Convolution: 19.603491 ms
diff --git a/docs/_sources/tutorials/optimize/opt_conv_tensorcore.rst.txt b/docs/_sources/tutorials/optimize/opt_conv_tensorcore.rst.txt
index 9f1bac2..d8135bb 100644
--- a/docs/_sources/tutorials/optimize/opt_conv_tensorcore.rst.txt
+++ b/docs/_sources/tutorials/optimize/opt_conv_tensorcore.rst.txt
@@ -342,8 +342,8 @@ one time.
primfn(A_1: handle, W_1: handle, Conv_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {Conv: Buffer(Conv_2: handle, float32, [16, 14, 14, 32, 16, 16], []),
- W: Buffer(W_2: handle, float16, [3, 3, 16, 32, 16, 16], []),
+ buffers = {W: Buffer(W_2: handle, float16, [3, 3, 16, 32, 16, 16], []),
+ Conv: Buffer(Conv_2: handle, float32, [16, 14, 14, 32, 16, 16], []),
A: Buffer(A_2: handle, 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;
@@ -563,7 +563,7 @@ be able to run on our build server
.. code-block:: none
- conv2d with tensor core: 13.194863 ms
+ conv2d with tensor core: 6.289936 ms
diff --git a/docs/_sources/tutorials/optimize/opt_gemm.rst.txt b/docs/_sources/tutorials/optimize/opt_gemm.rst.txt
index c6bd55f..3a0cef0 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: 0.009676
- Baseline: 3.525708
+ Numpy running time: 0.010951
+ Baseline: 6.107657
@@ -206,7 +206,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
.. code-block:: none
- Opt1: 0.296598
+ Opt1: 0.185950
@@ -300,7 +300,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
.. code-block:: none
- Opt2: 0.333919
+ Opt2: 0.168257
@@ -389,7 +389,7 @@ the access pattern for A matrix is more cache friendly.
.. code-block:: none
- Opt3: 0.116871
+ Opt3: 0.066846
@@ -497,7 +497,7 @@ the corresponding value from the packed array.
.. code-block:: none
- Opt4: 0.106136
+ Opt4: 0.069126
@@ -521,8 +521,8 @@ Here is the generated IR after array packing.
primfn(A_1: handle, B_1: handle, C_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {C: Buffer(C_2: handle, float32, [1024, 1024], []),
- B: Buffer(B_2: handle, float32, [1024, 1024], []),
+ buffers = {B: Buffer(B_2: handle, float32, [1024, 1024], []),
+ C: Buffer(C_2: handle, float32, [1024, 1024], []),
A: Buffer(A_2: handle, float32, [1024, 1024], [])}
buffer_map = {A_1: A, B_1: B, C_1: C} {
attr [packedB: handle] "storage_scope" = "global";
@@ -607,7 +607,7 @@ write to C when all the block results are ready.
.. code-block:: none
- Opt5: 0.098469
+ Opt5: 0.097400
@@ -723,7 +723,7 @@ Futhermore, we can also utilize multi-core processors to do the thread-level par
.. code-block:: none
- Opt6: 0.032362
+ Opt6: 0.032785
diff --git a/docs/_sources/tutorials/optimize/sg_execution_times.rst.txt b/docs/_sources/tutorials/optimize/sg_execution_times.rst.txt
index 57dd9e7..b59854d 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
=================
-**00:28.099** total execution time for **tutorials_optimize** files:
+**00:30.231** total execution time for **tutorials_optimize** files:
-- **00:25.746**: :ref:`sphx_glr_tutorials_optimize_opt_gemm.py` (``opt_gemm.py``)
-- **00:01.180**: :ref:`sphx_glr_tutorials_optimize_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``)
-- **00:00.975**: :ref:`sphx_glr_tutorials_optimize_opt_conv_cuda.py` (``opt_conv_cuda.py``)
-- **00:00.197**: :ref:`sphx_glr_tutorials_optimize_opt_matmul_auto_tensorcore.py` (``opt_matmul_auto_tensorcore.py``)
+- **00:27.609**: :ref:`sphx_glr_tutorials_optimize_opt_gemm.py` (``opt_gemm.py``)
+- **00:01.581**: :ref:`sphx_glr_tutorials_optimize_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``)
+- **00:00.830**: :ref:`sphx_glr_tutorials_optimize_opt_conv_cuda.py` (``opt_conv_cuda.py``)
+- **00:00.211**: :ref:`sphx_glr_tutorials_optimize_opt_matmul_auto_tensorcore.py` (``opt_matmul_auto_tensorcore.py``)
diff --git a/docs/_sources/tutorials/relay_quick_start.rst.txt b/docs/_sources/tutorials/relay_quick_start.rst.txt
deleted file mode 100644
index 5107a05..0000000
--- a/docs/_sources/tutorials/relay_quick_start.rst.txt
+++ /dev/null
@@ -1,366 +0,0 @@
-.. note::
- :class: sphx-glr-download-link-note
-
- Click :ref:`here <sphx_glr_download_tutorials_relay_quick_start.py>` to download the full example code
-.. rst-class:: sphx-glr-example-title
-
-.. _sphx_glr_tutorials_relay_quick_start.py:
-
-
-.. _tutorial-relay-quick-start:
-
-Quick Start Tutorial for Compiling Deep Learning Models
-=======================================================
-**Author**: `Yao Wang <https://github.com/kevinthesun>`_, `Truman Tian <https://github.com/SiNZeRo>`_
-
-This example shows how to build a neural network with Relay python frontend and
-generates a runtime library for Nvidia GPU with TVM.
-Notice that you need to build TVM with cuda and llvm enabled.
-
-Overview for Supported Hardware Backend of TVM
-----------------------------------------------
-The image below shows hardware backend currently supported by TVM:
-
-.. image:: https://github.com/dmlc/web-data/raw/master/tvm/tutorial/tvm_support_list.png
- :align: center
-
-In this tutorial, we'll choose cuda and llvm as target backends.
-To begin with, let's import Relay and TVM.
-
-
-.. code-block:: default
-
-
- import numpy as np
-
- from tvm import relay
- from tvm.relay import testing
- import tvm
- from tvm import te
- from tvm.contrib import graph_runtime
-
-
-
-
-
-
-
-Define Neural Network in Relay
-------------------------------
-First, let's define a neural network with relay python frontend.
-For simplicity, we'll use pre-defined resnet-18 network in Relay.
-Parameters are initialized with Xavier initializer.
-Relay also supports other model formats such as MXNet, CoreML, ONNX and
-Tensorflow.
-
-In this tutorial, we assume we will do inference on our device
-and the batch size is set to be 1. Input images are RGB color
-images of size 224 * 224. We can call the :any:`tvm.relay.TupleWrapper.astext()`
-to show the network structure.
-
-
-.. code-block:: default
-
-
- batch_size = 1
- num_class = 1000
- image_shape = (3, 224, 224)
- data_shape = (batch_size,) + image_shape
- out_shape = (batch_size, num_class)
-
- mod, params = relay.testing.resnet.get_workload(
- num_layers=18, batch_size=batch_size, image_shape=image_shape)
-
- # set show_meta_data=True if you want to show meta data
- print(mod.astext(show_meta_data=False))
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
- v0.0.4
- def @main(%data: Tensor[(1, 3, 224, 224), float32], %bn_data_gamma: Tensor[(3), float32], %bn_data_beta: Tensor[(3), float32], %bn_data_moving_mean: Tensor[(3), float32], %bn_data_moving_var: Tensor[(3), float32], %conv0_weight: Tensor[(64, 3, 7, 7), float32], %bn0_gamma: Tensor[(64), float32], %bn0_beta: Tensor[(64), float32], %bn0_moving_mean: Tensor[(64), float32], %bn0_moving_var: Tensor[(64), float32], %stage1_unit1_bn1_gamma: Tensor[(64), float32], %stage1_unit1_bn1_beta: Tenso [...]
- %0 = nn.batch_norm(%data, %bn_data_gamma, %bn_data_beta, %bn_data_moving_mean, %bn_data_moving_var, epsilon=2e-05f, scale=False) /* ty=(Tensor[(1, 3, 224, 224), float32], Tensor[(3), float32], Tensor[(3), float32]) */;
- %1 = %0.0;
- %2 = nn.conv2d(%1, %conv0_weight, strides=[2, 2], padding=[3, 3, 3, 3], channels=64, kernel_size=[7, 7]) /* ty=Tensor[(1, 64, 112, 112), float32] */;
- %3 = nn.batch_norm(%2, %bn0_gamma, %bn0_beta, %bn0_moving_mean, %bn0_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 64, 112, 112), float32], Tensor[(64), float32], Tensor[(64), float32]) */;
- %4 = %3.0;
- %5 = nn.relu(%4) /* ty=Tensor[(1, 64, 112, 112), float32] */;
- %6 = nn.max_pool2d(%5, pool_size=[3, 3], strides=[2, 2], padding=[1, 1, 1, 1]) /* ty=Tensor[(1, 64, 56, 56), float32] */;
- %7 = nn.batch_norm(%6, %stage1_unit1_bn1_gamma, %stage1_unit1_bn1_beta, %stage1_unit1_bn1_moving_mean, %stage1_unit1_bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 64, 56, 56), float32], Tensor[(64), float32], Tensor[(64), float32]) */;
- %8 = %7.0;
- %9 = nn.relu(%8) /* ty=Tensor[(1, 64, 56, 56), float32] */;
- %10 = nn.conv2d(%9, %stage1_unit1_conv1_weight, padding=[1, 1, 1, 1], channels=64, kernel_size=[3, 3]) /* ty=Tensor[(1, 64, 56, 56), float32] */;
- %11 = nn.batch_norm(%10, %stage1_unit1_bn2_gamma, %stage1_unit1_bn2_beta, %stage1_unit1_bn2_moving_mean, %stage1_unit1_bn2_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 64, 56, 56), float32], Tensor[(64), float32], Tensor[(64), float32]) */;
- %12 = %11.0;
- %13 = nn.relu(%12) /* ty=Tensor[(1, 64, 56, 56), float32] */;
- %14 = nn.conv2d(%13, %stage1_unit1_conv2_weight, padding=[1, 1, 1, 1], channels=64, kernel_size=[3, 3]) /* ty=Tensor[(1, 64, 56, 56), float32] */;
- %15 = nn.conv2d(%9, %stage1_unit1_sc_weight, padding=[0, 0, 0, 0], channels=64, kernel_size=[1, 1]) /* ty=Tensor[(1, 64, 56, 56), float32] */;
- %16 = add(%14, %15) /* ty=Tensor[(1, 64, 56, 56), float32] */;
- %17 = nn.batch_norm(%16, %stage1_unit2_bn1_gamma, %stage1_unit2_bn1_beta, %stage1_unit2_bn1_moving_mean, %stage1_unit2_bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 64, 56, 56), float32], Tensor[(64), float32], Tensor[(64), float32]) */;
- %18 = %17.0;
- %19 = nn.relu(%18) /* ty=Tensor[(1, 64, 56, 56), float32] */;
- %20 = nn.conv2d(%19, %stage1_unit2_conv1_weight, padding=[1, 1, 1, 1], channels=64, kernel_size=[3, 3]) /* ty=Tensor[(1, 64, 56, 56), float32] */;
- %21 = nn.batch_norm(%20, %stage1_unit2_bn2_gamma, %stage1_unit2_bn2_beta, %stage1_unit2_bn2_moving_mean, %stage1_unit2_bn2_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 64, 56, 56), float32], Tensor[(64), float32], Tensor[(64), float32]) */;
- %22 = %21.0;
- %23 = nn.relu(%22) /* ty=Tensor[(1, 64, 56, 56), float32] */;
- %24 = nn.conv2d(%23, %stage1_unit2_conv2_weight, padding=[1, 1, 1, 1], channels=64, kernel_size=[3, 3]) /* ty=Tensor[(1, 64, 56, 56), float32] */;
- %25 = add(%24, %16) /* ty=Tensor[(1, 64, 56, 56), float32] */;
- %26 = nn.batch_norm(%25, %stage2_unit1_bn1_gamma, %stage2_unit1_bn1_beta, %stage2_unit1_bn1_moving_mean, %stage2_unit1_bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 64, 56, 56), float32], Tensor[(64), float32], Tensor[(64), float32]) */;
- %27 = %26.0;
- %28 = nn.relu(%27) /* ty=Tensor[(1, 64, 56, 56), float32] */;
- %29 = nn.conv2d(%28, %stage2_unit1_conv1_weight, strides=[2, 2], padding=[1, 1, 1, 1], channels=128, kernel_size=[3, 3]) /* ty=Tensor[(1, 128, 28, 28), float32] */;
- %30 = nn.batch_norm(%29, %stage2_unit1_bn2_gamma, %stage2_unit1_bn2_beta, %stage2_unit1_bn2_moving_mean, %stage2_unit1_bn2_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 128, 28, 28), float32], Tensor[(128), float32], Tensor[(128), float32]) */;
- %31 = %30.0;
- %32 = nn.relu(%31) /* ty=Tensor[(1, 128, 28, 28), float32] */;
- %33 = nn.conv2d(%32, %stage2_unit1_conv2_weight, padding=[1, 1, 1, 1], channels=128, kernel_size=[3, 3]) /* ty=Tensor[(1, 128, 28, 28), float32] */;
- %34 = nn.conv2d(%28, %stage2_unit1_sc_weight, strides=[2, 2], padding=[0, 0, 0, 0], channels=128, kernel_size=[1, 1]) /* ty=Tensor[(1, 128, 28, 28), float32] */;
- %35 = add(%33, %34) /* ty=Tensor[(1, 128, 28, 28), float32] */;
- %36 = nn.batch_norm(%35, %stage2_unit2_bn1_gamma, %stage2_unit2_bn1_beta, %stage2_unit2_bn1_moving_mean, %stage2_unit2_bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 128, 28, 28), float32], Tensor[(128), float32], Tensor[(128), float32]) */;
- %37 = %36.0;
- %38 = nn.relu(%37) /* ty=Tensor[(1, 128, 28, 28), float32] */;
- %39 = nn.conv2d(%38, %stage2_unit2_conv1_weight, padding=[1, 1, 1, 1], channels=128, kernel_size=[3, 3]) /* ty=Tensor[(1, 128, 28, 28), float32] */;
- %40 = nn.batch_norm(%39, %stage2_unit2_bn2_gamma, %stage2_unit2_bn2_beta, %stage2_unit2_bn2_moving_mean, %stage2_unit2_bn2_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 128, 28, 28), float32], Tensor[(128), float32], Tensor[(128), float32]) */;
- %41 = %40.0;
- %42 = nn.relu(%41) /* ty=Tensor[(1, 128, 28, 28), float32] */;
- %43 = nn.conv2d(%42, %stage2_unit2_conv2_weight, padding=[1, 1, 1, 1], channels=128, kernel_size=[3, 3]) /* ty=Tensor[(1, 128, 28, 28), float32] */;
- %44 = add(%43, %35) /* ty=Tensor[(1, 128, 28, 28), float32] */;
- %45 = nn.batch_norm(%44, %stage3_unit1_bn1_gamma, %stage3_unit1_bn1_beta, %stage3_unit1_bn1_moving_mean, %stage3_unit1_bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 128, 28, 28), float32], Tensor[(128), float32], Tensor[(128), float32]) */;
- %46 = %45.0;
- %47 = nn.relu(%46) /* ty=Tensor[(1, 128, 28, 28), float32] */;
- %48 = nn.conv2d(%47, %stage3_unit1_conv1_weight, strides=[2, 2], padding=[1, 1, 1, 1], channels=256, kernel_size=[3, 3]) /* ty=Tensor[(1, 256, 14, 14), float32] */;
- %49 = nn.batch_norm(%48, %stage3_unit1_bn2_gamma, %stage3_unit1_bn2_beta, %stage3_unit1_bn2_moving_mean, %stage3_unit1_bn2_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 256, 14, 14), float32], Tensor[(256), float32], Tensor[(256), float32]) */;
- %50 = %49.0;
- %51 = nn.relu(%50) /* ty=Tensor[(1, 256, 14, 14), float32] */;
- %52 = nn.conv2d(%51, %stage3_unit1_conv2_weight, padding=[1, 1, 1, 1], channels=256, kernel_size=[3, 3]) /* ty=Tensor[(1, 256, 14, 14), float32] */;
- %53 = nn.conv2d(%47, %stage3_unit1_sc_weight, strides=[2, 2], padding=[0, 0, 0, 0], channels=256, kernel_size=[1, 1]) /* ty=Tensor[(1, 256, 14, 14), float32] */;
- %54 = add(%52, %53) /* ty=Tensor[(1, 256, 14, 14), float32] */;
- %55 = nn.batch_norm(%54, %stage3_unit2_bn1_gamma, %stage3_unit2_bn1_beta, %stage3_unit2_bn1_moving_mean, %stage3_unit2_bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 256, 14, 14), float32], Tensor[(256), float32], Tensor[(256), float32]) */;
- %56 = %55.0;
- %57 = nn.relu(%56) /* ty=Tensor[(1, 256, 14, 14), float32] */;
- %58 = nn.conv2d(%57, %stage3_unit2_conv1_weight, padding=[1, 1, 1, 1], channels=256, kernel_size=[3, 3]) /* ty=Tensor[(1, 256, 14, 14), float32] */;
- %59 = nn.batch_norm(%58, %stage3_unit2_bn2_gamma, %stage3_unit2_bn2_beta, %stage3_unit2_bn2_moving_mean, %stage3_unit2_bn2_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 256, 14, 14), float32], Tensor[(256), float32], Tensor[(256), float32]) */;
- %60 = %59.0;
- %61 = nn.relu(%60) /* ty=Tensor[(1, 256, 14, 14), float32] */;
- %62 = nn.conv2d(%61, %stage3_unit2_conv2_weight, padding=[1, 1, 1, 1], channels=256, kernel_size=[3, 3]) /* ty=Tensor[(1, 256, 14, 14), float32] */;
- %63 = add(%62, %54) /* ty=Tensor[(1, 256, 14, 14), float32] */;
- %64 = nn.batch_norm(%63, %stage4_unit1_bn1_gamma, %stage4_unit1_bn1_beta, %stage4_unit1_bn1_moving_mean, %stage4_unit1_bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 256, 14, 14), float32], Tensor[(256), float32], Tensor[(256), float32]) */;
- %65 = %64.0;
- %66 = nn.relu(%65) /* ty=Tensor[(1, 256, 14, 14), float32] */;
- %67 = nn.conv2d(%66, %stage4_unit1_conv1_weight, strides=[2, 2], padding=[1, 1, 1, 1], channels=512, kernel_size=[3, 3]) /* ty=Tensor[(1, 512, 7, 7), float32] */;
- %68 = nn.batch_norm(%67, %stage4_unit1_bn2_gamma, %stage4_unit1_bn2_beta, %stage4_unit1_bn2_moving_mean, %stage4_unit1_bn2_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 512, 7, 7), float32], Tensor[(512), float32], Tensor[(512), float32]) */;
- %69 = %68.0;
- %70 = nn.relu(%69) /* ty=Tensor[(1, 512, 7, 7), float32] */;
- %71 = nn.conv2d(%70, %stage4_unit1_conv2_weight, padding=[1, 1, 1, 1], channels=512, kernel_size=[3, 3]) /* ty=Tensor[(1, 512, 7, 7), float32] */;
- %72 = nn.conv2d(%66, %stage4_unit1_sc_weight, strides=[2, 2], padding=[0, 0, 0, 0], channels=512, kernel_size=[1, 1]) /* ty=Tensor[(1, 512, 7, 7), float32] */;
- %73 = add(%71, %72) /* ty=Tensor[(1, 512, 7, 7), float32] */;
- %74 = nn.batch_norm(%73, %stage4_unit2_bn1_gamma, %stage4_unit2_bn1_beta, %stage4_unit2_bn1_moving_mean, %stage4_unit2_bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 512, 7, 7), float32], Tensor[(512), float32], Tensor[(512), float32]) */;
- %75 = %74.0;
- %76 = nn.relu(%75) /* ty=Tensor[(1, 512, 7, 7), float32] */;
- %77 = nn.conv2d(%76, %stage4_unit2_conv1_weight, padding=[1, 1, 1, 1], channels=512, kernel_size=[3, 3]) /* ty=Tensor[(1, 512, 7, 7), float32] */;
- %78 = nn.batch_norm(%77, %stage4_unit2_bn2_gamma, %stage4_unit2_bn2_beta, %stage4_unit2_bn2_moving_mean, %stage4_unit2_bn2_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 512, 7, 7), float32], Tensor[(512), float32], Tensor[(512), float32]) */;
- %79 = %78.0;
- %80 = nn.relu(%79) /* ty=Tensor[(1, 512, 7, 7), float32] */;
- %81 = nn.conv2d(%80, %stage4_unit2_conv2_weight, padding=[1, 1, 1, 1], channels=512, kernel_size=[3, 3]) /* ty=Tensor[(1, 512, 7, 7), float32] */;
- %82 = add(%81, %73) /* ty=Tensor[(1, 512, 7, 7), float32] */;
- %83 = nn.batch_norm(%82, %bn1_gamma, %bn1_beta, %bn1_moving_mean, %bn1_moving_var, epsilon=2e-05f) /* ty=(Tensor[(1, 512, 7, 7), float32], Tensor[(512), float32], Tensor[(512), float32]) */;
- %84 = %83.0;
- %85 = nn.relu(%84) /* ty=Tensor[(1, 512, 7, 7), float32] */;
- %86 = nn.global_avg_pool2d(%85) /* ty=Tensor[(1, 512, 1, 1), float32] */;
- %87 = nn.batch_flatten(%86) /* ty=Tensor[(1, 512), float32] */;
- %88 = nn.dense(%87, %fc1_weight, units=1000) /* ty=Tensor[(1, 1000), float32] */;
- %89 = nn.bias_add(%88, %fc1_bias, axis=-1) /* ty=Tensor[(1, 1000), float32] */;
- nn.softmax(%89) /* ty=Tensor[(1, 1000), float32] */
- }
-
-
-
-
-Compilation
------------
-Next step is to compile the model using the Relay/TVM pipeline.
-Users can specify the optimization level of the compilation.
-Currently this value can be 0 to 3. The optimization passes include
-operator fusion, pre-computation, layout transformation and so on.
-
-:py:func:`relay.build` returns three components: the execution graph in
-json format, the TVM module library of compiled functions specifically
-for this graph on the target hardware, and the parameter blobs of
-the model. During the compilation, Relay does the graph-level
-optimization while TVM does the tensor-level optimization, resulting
-in an optimized runtime module for model serving.
-
-We'll first compile for Nvidia GPU. Behind the scene, :py:func:`relay.build`
-first does a number of graph-level optimizations, e.g. pruning, fusing, etc.,
-then registers the operators (i.e. the nodes of the optimized graphs) to
-TVM implementations to generate a `tvm.module`.
-To generate the module library, TVM will first transfer the high level IR
-into the lower intrinsic IR of the specified target backend, which is CUDA
-in this example. Then the machine code will be generated as the module library.
-
-
-.. code-block:: default
-
-
- opt_level = 3
- target = tvm.target.cuda()
- with tvm.transform.PassContext(opt_level=opt_level):
- graph, lib, params = relay.build(mod, target, params=params)
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-
...1%, 0.01 MB, 11 KB/s, 0 seconds passed
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ds passed
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...99%, 0.39 MB, 560 KB/s, 0 seconds passed
...100%, 0.40 MB, 571 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.
-
-
-
-Run the generate library
-------------------------
-Now we can create graph runtime and run the module on Nvidia GPU.
-
-
-.. code-block:: default
-
-
- # create random input
- ctx = tvm.gpu()
- data = np.random.uniform(-1, 1, size=data_shape).astype("float32")
- # create module
- module = graph_runtime.create(graph, lib, ctx)
- # set input and parameters
- module.set_input("data", data)
- module.set_input(**params)
- # run
- module.run()
- # get output
- out = module.get_output(0, tvm.nd.empty(out_shape)).asnumpy()
-
- # Print first 10 elements of output
- print(out.flatten()[0:10])
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
- [0.00089283 0.00103331 0.0009094 0.00102275 0.00108751 0.00106737
- 0.00106262 0.00095838 0.00110792 0.00113151]
-
-
-
-Save and Load Compiled Module
------------------------------
-We can also save the graph, lib and parameters into files and load them
-back in deploy environment.
-
-
-.. code-block:: default
-
-
- # save the graph, lib and params into separate files
- from tvm.contrib import util
-
- temp = util.tempdir()
- path_lib = temp.relpath("deploy_lib.tar")
- lib.export_library(path_lib)
- with open(temp.relpath("deploy_graph.json"), "w") as fo:
- fo.write(graph)
- with open(temp.relpath("deploy_param.params"), "wb") as fo:
- fo.write(relay.save_param_dict(params))
- print(temp.listdir())
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
- ['deploy_lib.tar', 'deploy_graph.json', 'deploy_param.params']
-
-
-
-
-.. code-block:: default
-
-
- # load the module back.
- loaded_json = open(temp.relpath("deploy_graph.json")).read()
- loaded_lib = tvm.runtime.load_module(path_lib)
- loaded_params = bytearray(open(temp.relpath("deploy_param.params"), "rb").read())
- input_data = tvm.nd.array(np.random.uniform(size=data_shape).astype("float32"))
-
- module = graph_runtime.create(loaded_json, loaded_lib, ctx)
- module.load_params(loaded_params)
- module.run(data=input_data)
- out_deploy = module.get_output(0).asnumpy()
-
- # Print first 10 elements of output
- print(out_deploy.flatten()[0:10])
-
- # check whether the output from deployed module is consistent with original one
- tvm.testing.assert_allclose(out_deploy, out, atol=1e-3)
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
- [0.00090713 0.00105705 0.00094459 0.00103146 0.00110017 0.00105846
- 0.00104143 0.00095862 0.0010827 0.00111618]
-
-
-
-
-.. _sphx_glr_download_tutorials_relay_quick_start.py:
-
-
-.. only :: html
-
- .. container:: sphx-glr-footer
- :class: sphx-glr-footer-example
-
-
-
- .. container:: sphx-glr-download
-
- :download:`Download Python source code: relay_quick_start.py <relay_quick_start.py>`
-
-
-
- .. container:: sphx-glr-download
-
- :download:`Download Jupyter notebook: relay_quick_start.ipynb <relay_quick_start.ipynb>`
-
-
-.. only:: html
-
- .. rst-class:: sphx-glr-signature
-
- `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/docs/_sources/tutorials/sg_execution_times.rst.txt b/docs/_sources/tutorials/sg_execution_times.rst.txt
deleted file mode 100644
index 2ed5563..0000000
--- a/docs/_sources/tutorials/sg_execution_times.rst.txt
+++ /dev/null
@@ -1,12 +0,0 @@
-
-:orphan:
-
-.. _sphx_glr_tutorials_sg_execution_times:
-
-Computation times
-=================
-**00:12.404** total execution time for **tutorials** files:
-
-- **00:11.916**: :ref:`sphx_glr_tutorials_relay_quick_start.py` (``relay_quick_start.py``)
-- **00:00.355**: :ref:`sphx_glr_tutorials_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)
-- **00:00.133**: :ref:`sphx_glr_tutorials_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``)
diff --git a/docs/_sources/tutorials/tensor_expr_get_started.rst.txt b/docs/_sources/tutorials/tensor_expr_get_started.rst.txt
deleted file mode 100644
index fab762a..0000000
--- a/docs/_sources/tutorials/tensor_expr_get_started.rst.txt
+++ /dev/null
@@ -1,476 +0,0 @@
-.. note::
- :class: sphx-glr-download-link-note
-
- Click :ref:`here <sphx_glr_download_tutorials_tensor_expr_get_started.py>` to download the full example code
-.. rst-class:: sphx-glr-example-title
-
-.. _sphx_glr_tutorials_tensor_expr_get_started.py:
-
-
-.. _tutorial-tensor-expr-get-started:
-
-Get Started with Tensor Expression
-==================================
-**Author**: `Tianqi Chen <https://tqchen.github.io>`_
-
-This is an introductory tutorial to the Tensor expression language in TVM.
-TVM uses a domain specific tensor expression for efficient kernel construction.
-
-In this tutorial, we will demonstrate the basic workflow to use
-the tensor expression language.
-
-
-.. code-block:: default
-
- from __future__ import absolute_import, print_function
-
- import tvm
- from tvm import te
- import numpy as np
-
- # Global declarations of environment.
-
- tgt_host="llvm"
- # Change it to respective GPU if gpu is enabled Ex: cuda, opencl, rocm
- tgt="cuda"
-
-
-
-
-
-
-
-Vector Add Example
-------------------
-In this tutorial, we will use a vector addition example to demonstrate
-the workflow.
-
-
-Describe the Computation
-------------------------
-As a first step, we need to describe our computation.
-TVM adopts tensor semantics, with each intermediate result
-represented as a multi-dimensional array. The user needs to describe
-the computation rule that generates the tensors.
-
-We first define a symbolic variable n to represent the shape.
-We then define two placeholder Tensors, A and B, with given shape (n,)
-
-We then describe the result tensor C, with a compute operation. The
-compute function takes the shape of the tensor, as well as a lambda
-function that describes the computation rule for each position of
-the tensor.
-
-No computation happens during this phase, as we are only declaring how
-the computation should be done.
-
-
-
-.. code-block:: default
-
- n = te.var("n")
- A = te.placeholder((n,), name='A')
- B = te.placeholder((n,), name='B')
- C = te.compute(A.shape, lambda i: A[i] + B[i], name="C")
- print(type(C))
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
- <class 'tvm.te.tensor.Tensor'>
-
-
-
-Schedule the Computation
-------------------------
-While the above lines describe the computation rule, we can compute
-C in many ways since the axis of C can be computed in a data
-parallel manner. TVM asks the user to provide a description of the
-computation called a schedule.
-
-A schedule is a set of transformation of computation that transforms
-the loop of computations in the program.
-
-After we construct the schedule, by default the schedule computes
-C in a serial manner in a row-major order.
-
-.. code-block:: c
-
- for (int i = 0; i < n; ++i) {
- C[i] = A[i] + B[i];
- }
-
-
-
-.. code-block:: default
-
- s = te.create_schedule(C.op)
-
-
-
-
-
-
-
-We used the split construct to split the first axis of C,
-this will split the original iteration axis into product of
-two iterations. This is equivalent to the following code.
-
-.. code-block:: c
-
- for (int bx = 0; bx < ceil(n / 64); ++bx) {
- for (int tx = 0; tx < 64; ++tx) {
- int i = bx * 64 + tx;
- if (i < n) {
- C[i] = A[i] + B[i];
- }
- }
- }
-
-
-
-.. code-block:: default
-
- bx, tx = s[C].split(C.op.axis[0], factor=64)
-
-
-
-
-
-
-
-Finally we bind the iteration axis bx and tx to threads in the GPU
-compute grid. These are GPU specific constructs that allow us
-to generate code that runs on GPU.
-
-
-
-.. code-block:: default
-
- if tgt == "cuda" or tgt == "rocm" or tgt.startswith('opencl'):
- s[C].bind(bx, te.thread_axis("blockIdx.x"))
- s[C].bind(tx, te.thread_axis("threadIdx.x"))
-
-
-
-
-
-
-
-Compilation
------------
-After we have finished specifying the schedule, we can compile it
-into a TVM function. By default TVM compiles into a type-erased
-function that can be directly called from the python side.
-
-In the following line, we use tvm.build to create a function.
-The build function takes the schedule, the desired signature of the
-function (including the inputs and outputs) as well as target language
-we want to compile to.
-
-The result of compilation fadd is a GPU device function (if GPU is
-involved) as well as a host wrapper that calls into the GPU
-function. fadd is the generated host wrapper function, it contains
-a reference to the generated device function internally.
-
-
-
-.. code-block:: default
-
- fadd = tvm.build(s, [A, B, C], tgt, target_host=tgt_host, name="myadd")
-
-
-
-
-
-
-
-Run the Function
-----------------
-The compiled TVM function is exposes a concise C API
-that can be invoked from any language.
-
-We provide a minimal array API in python to aid quick testing and prototyping.
-The array API is based on the `DLPack <https://github.com/dmlc/dlpack>`_ standard.
-
-- We first create a GPU context.
-- Then tvm.nd.array copies the data to the GPU.
-- fadd runs the actual computation.
-- asnumpy() copies the GPU array back to the CPU and we can use this to verify correctness
-
-
-
-.. code-block:: default
-
- ctx = tvm.context(tgt, 0)
-
- n = 1024
- a = tvm.nd.array(np.random.uniform(size=n).astype(A.dtype), ctx)
- b = tvm.nd.array(np.random.uniform(size=n).astype(B.dtype), ctx)
- c = tvm.nd.array(np.zeros(n, dtype=C.dtype), ctx)
- fadd(a, b, c)
- tvm.testing.assert_allclose(c.asnumpy(), a.asnumpy() + b.asnumpy())
-
-
-
-
-
-
-
-Inspect the Generated Code
---------------------------
-You can inspect the generated code in TVM. The result of tvm.build
-is a TVM Module. fadd is the host module that contains the host wrapper,
-it also contains a device module for the CUDA (GPU) function.
-
-The following code fetches the device module and prints the content code.
-
-
-
-.. code-block:: default
-
- if tgt == "cuda" or tgt == "rocm" or tgt.startswith('opencl'):
- dev_module = fadd.imported_modules[0]
- print("-----GPU code-----")
- print(dev_module.get_source())
- else:
- print(fadd.get_source())
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
- -----GPU code-----
- extern "C" __global__ void myadd_kernel0(void* __restrict__ C, void* __restrict__ A, void* __restrict__ B, int n, int stride, int stride1, int stride2) {
- if (((int)blockIdx.x) < (n >> 6)) {
- ((float*)C)[((((((int)blockIdx.x) * 64) + ((int)threadIdx.x)) * stride2))] = (((float*)A)[((((((int)blockIdx.x) * 64) + ((int)threadIdx.x)) * stride))] + ((float*)B)[((((((int)blockIdx.x) * 64) + ((int)threadIdx.x)) * stride1))]);
- } else {
- if (((((int)blockIdx.x) * 64) + ((int)threadIdx.x)) < n) {
- ((float*)C)[((((((int)blockIdx.x) * 64) + ((int)threadIdx.x)) * stride2))] = (((float*)A)[((((((int)blockIdx.x) * 64) + ((int)threadIdx.x)) * stride))] + ((float*)B)[((((((int)blockIdx.x) * 64) + ((int)threadIdx.x)) * stride1))]);
- }
- }
- }
-
-
-
-
-
-.. note:: Code Specialization
-
- As you may have noticed, the declarations of A, B and C all
- take the same shape argument, n. TVM will take advantage of this
- to pass only a single shape argument to the kernel, as you will find in
- the printed device code. This is one form of specialization.
-
- On the host side, TVM will automatically generate check code
- that checks the constraints in the parameters. So if you pass
- arrays with different shapes into fadd, an error will be raised.
-
- We can do more specializations. For example, we can write
- :code:`n = tvm.runtime.convert(1024)` instead of :code:`n = te.var("n")`,
- in the computation declaration. The generated function will
- only take vectors with length 1024.
-
-
-Save Compiled Module
---------------------
-Besides runtime compilation, we can save the compiled modules into
-a file and load them back later. This is called ahead of time compilation.
-
-The following code first performs the following steps:
-
-- It saves the compiled host module into an object file.
-- Then it saves the device module into a ptx file.
-- cc.create_shared calls a compiler (gcc) to create a shared library
-
-
-
-.. code-block:: default
-
- from tvm.contrib import cc
- from tvm.contrib import util
-
- temp = util.tempdir()
- fadd.save(temp.relpath("myadd.o"))
- if tgt == "cuda":
- fadd.imported_modules[0].save(temp.relpath("myadd.ptx"))
- if tgt == "rocm":
- fadd.imported_modules[0].save(temp.relpath("myadd.hsaco"))
- if tgt.startswith('opencl'):
- fadd.imported_modules[0].save(temp.relpath("myadd.cl"))
- cc.create_shared(temp.relpath("myadd.so"), [temp.relpath("myadd.o")])
- print(temp.listdir())
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
- ['myadd.tvm_meta.json', 'myadd.ptx', 'myadd.so', 'myadd.o']
-
-
-
-.. note:: Module Storage Format
-
- The CPU (host) module is directly saved as a shared library (.so).
- There can be multiple customized formats of the device code.
- In our example, the device code is stored in ptx, as well as a meta
- data json file. They can be loaded and linked separately via import.
-
-
-Load Compiled Module
---------------------
-We can load the compiled module from the file system and run the code.
-The following code loads the host and device module separately and
-re-links them together. We can verify that the newly loaded function works.
-
-
-
-.. code-block:: default
-
- fadd1 = tvm.runtime.load_module(temp.relpath("myadd.so"))
- if tgt == "cuda":
- fadd1_dev = tvm.runtime.load_module(temp.relpath("myadd.ptx"))
- fadd1.import_module(fadd1_dev)
-
- if tgt == "rocm":
- fadd1_dev = tvm.runtime.load_module(temp.relpath("myadd.hsaco"))
- fadd1.import_module(fadd1_dev)
-
- if tgt.startswith('opencl'):
- fadd1_dev = tvm.runtime.load_module(temp.relpath("myadd.cl"))
- fadd1.import_module(fadd1_dev)
-
- fadd1(a, b, c)
- tvm.testing.assert_allclose(c.asnumpy(), a.asnumpy() + b.asnumpy())
-
-
-
-
-
-
-
-Pack Everything into One Library
---------------------------------
-In the above example, we store the device and host code separately.
-TVM also supports export everything as one shared library.
-Under the hood, we pack the device modules into binary blobs and link
-them together with the host code.
-Currently we support packing of Metal, OpenCL and CUDA modules.
-
-
-
-.. code-block:: default
-
- fadd.export_library(temp.relpath("myadd_pack.so"))
- fadd2 = tvm.runtime.load_module(temp.relpath("myadd_pack.so"))
- fadd2(a, b, c)
- tvm.testing.assert_allclose(c.asnumpy(), a.asnumpy() + b.asnumpy())
-
-
-
-
-
-
-
-.. note:: Runtime API and Thread-Safety
-
- The compiled modules of TVM do not depend on the TVM compiler.
- Instead, they only depend on a minimum runtime library.
- The TVM runtime library wraps the device drivers and provides
- thread-safe and device agnostic calls into the compiled functions.
-
- This means that you can call the compiled TVM functions from any thread,
- on any GPUs.
-
-
-Generate OpenCL Code
---------------------
-TVM provides code generation features into multiple backends,
-we can also generate OpenCL code or LLVM code that runs on CPU backends.
-
-The following code blocks generate OpenCL code, creates array on an OpenCL
-device, and verifies the correctness of the code.
-
-
-
-.. code-block:: default
-
- if tgt.startswith('opencl'):
- fadd_cl = tvm.build(s, [A, B, C], tgt, name="myadd")
- print("------opencl code------")
- print(fadd_cl.imported_modules[0].get_source())
- ctx = tvm.cl(0)
- n = 1024
- a = tvm.nd.array(np.random.uniform(size=n).astype(A.dtype), ctx)
- b = tvm.nd.array(np.random.uniform(size=n).astype(B.dtype), ctx)
- c = tvm.nd.array(np.zeros(n, dtype=C.dtype), ctx)
- fadd_cl(a, b, c)
- tvm.testing.assert_allclose(c.asnumpy(), a.asnumpy() + b.asnumpy())
-
-
-
-
-
-
-
-Summary
--------
-This tutorial provides a walk through of TVM workflow using
-a vector add example. The general workflow is
-
-- Describe your computation via a series of operations.
-- Describe how we want to compute use schedule primitives.
-- Compile to the target function we want.
-- Optionally, save the function to be loaded later.
-
-You are more than welcome to checkout other examples and
-tutorials to learn more about the supported operations, scheduling primitives
-and other features in TVM.
-
-
-
-.. _sphx_glr_download_tutorials_tensor_expr_get_started.py:
-
-
-.. only :: html
-
- .. container:: sphx-glr-footer
- :class: sphx-glr-footer-example
-
-
-
- .. container:: sphx-glr-download
-
- :download:`Download Python source code: tensor_expr_get_started.py <tensor_expr_get_started.py>`
-
-
-
- .. container:: sphx-glr-download
-
- :download:`Download Jupyter notebook: tensor_expr_get_started.ipynb <tensor_expr_get_started.ipynb>`
-
-
-.. only:: html
-
- .. rst-class:: sphx-glr-signature
-
- `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/docs/_sources/tutorials/topi/intro_topi.rst.txt b/docs/_sources/tutorials/topi/intro_topi.rst.txt
index 48507d3..abb8c23 100644
--- a/docs/_sources/tutorials/topi/intro_topi.rst.txt
+++ b/docs/_sources/tutorials/topi/intro_topi.rst.txt
@@ -230,7 +230,7 @@ As you can see, scheduled stages of computation have been accumulated and we can
.. code-block:: none
- [stage(a, 0x16e2ba9b0), stage(b, 0x158cc2f00), stage(T_add, 0xf42565e0), stage(T_multiply, 0x17c2271d0), stage(T_elemwise_sum, 0x158cc20c0), stage(T_divide, 0x180e2cd30), stage(T_divide_red.rf, 0x158c7fcb0), stage(T_divide_red, 0x17dc333e0)]
+ [stage(a, 0xdfafe8b0), stage(b, 0x15b403ba0), stage(T_add, 0x17fd5a7b0), stage(T_multiply, 0x15b373ed0), stage(T_elemwise_sum, 0x16d4a5060), stage(T_divide, 0x1640dc0e0), stage(T_divide_red.rf, 0x1585bf140), stage(T_divide_red, 0x17c9c0740)]
diff --git a/docs/_sources/tutorials/topi/sg_execution_times.rst.txt b/docs/_sources/tutorials/topi/sg_execution_times.rst.txt
index 2f035db..560b670 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
=================
-**00:00.602** total execution time for **tutorials_topi** files:
+**00:00.699** total execution time for **tutorials_topi** files:
-- **00:00.602**: :ref:`sphx_glr_tutorials_topi_intro_topi.py` (``intro_topi.py``)
+- **00:00.699**: :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 a0f4a3a..244bcc4 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
=================
-**00:04.726** total execution time for **vta_tutorials_autotvm** files:
+**00:03.957** total execution time for **vta_tutorials_autotvm** files:
-- **00:04.726**: :ref:`sphx_glr_vta_tutorials_autotvm_tune_relay_vta.py` (``tune_relay_vta.py``)
+- **00:03.957**: :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 f41d38c..8911917 100644
--- a/docs/_sources/vta/tutorials/autotvm/tune_relay_vta.rst.txt
+++ b/docs/_sources/vta/tutorials/autotvm/tune_relay_vta.rst.txt
@@ -481,7 +481,7 @@ Finally, we launch tuning jobs and evaluate the end-to-end performance.
.. code-block:: none
Extract tasks...
-
...1%, 0.01 MB, 215 KB/s, 0 seconds passed
...2%, 0.02 MB, 362 KB/s, 0 seconds passed
...3%, 0.02 MB, 541 KB/s, 0 seconds passed
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0 seconds passed
...23%, 0.17 MB, 2783 KB/s, 0 seconds passed
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...29%, 0.21 MB, 3220 KB/s, 0 seconds passed
...30%, 0.22 MB, 3315 KB/s, 0 seconds passed
...31%, 0.23 MB, 3428 KB/s, 0 seconds passed
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...33%, 0.24 MB, 3636 KB/s, 0 seconds passed
...34%, 0.25 MB, 3726 KB/s, 0 seconds passed
...35%, 0.26 MB, 3835 KB/s, 0 seconds passed
...36%, 0.27 MB, 3946 KB/s, 0 seconds passed
...38%, 0.27 MB, 4056 KB/s, 0 seconds passed
...39%, 0.28 MB, 4166 KB/s, 0 seconds passed
...40%, 0.29 MB, 4256 KB/s, 0 seconds passed
...41%, 0.30 MB, 4347 KB/s, 0 seconds passed
...42%, 0.30 MB, 4455 KB/s, 0 seconds passed
...43%, 0.31 MB, 4563 KB/s, 0 seconds passed
...44%, 0.32 MB, 4671 KB/s, 0 seconds passed
...45%, 0.33 MB, 4778 KB/s, 0 seconds passed
...46%, 0.34 MB, 4885 KB/s, 0 seconds passed
...47%, 0.34 MB, 4977 KB/s, 0 seconds passed
...48%, 0.35 MB, 5082 KB/s, 0 seconds passed
...50%, 0.36 MB, 4992 KB/s, 0 seconds passed
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...52%, 0.38 MB, 5168 KB/s, 0 seconds passed
...53%, 0.38 MB, 5267 KB/s, 0 seconds passed
...54%, 0.39 MB, 5368 KB/s, 0 seconds passed
...55%, 0.40 MB, 5468 KB/s, 0 seconds passed
...56%, 0.41 MB, 5541 KB/s, 0 seconds passed
...57%, 0.41 MB, 5639 KB/s, 0 seconds passed
...58%, 0.42 MB, 5672 KB/s, 0 seconds passed
...59%, 0.43 MB, 5769 KB/s, 0 seconds passed
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...62%, 0.45 MB, 5947 KB/s, 0 seconds passed
...63%, 0.45 MB, 6043 KB/s, 0 seconds passed
...64%, 0.46 MB, 6140 KB/s, 0 seconds passed
...65%, 0.47 MB, 6236 KB/s, 0 seconds passed
...66%, 0.48 MB, 6286 KB/s, 0 seconds passed
...67%, 0.48
MB, 6360 KB/s, 0 seconds passed
...68%, 0.49 MB, 6454 KB/s, 0 seconds passed
...69%, 0.50 MB, 6548 KB/s, 0 seconds passed
...70%, 0.51 MB, 6586 KB/s, 0 seconds passed
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...72%, 0.52 MB, 6771 KB/s, 0 seconds passed
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...75%, 0.54 MB, 6808 KB/s, 0 seconds passed
...76%, 0.55 MB, 6896 KB/s, 0 seconds passed
...77%, 0.55 MB, 6950 KB/s, 0 seconds passed
...78%, 0.56 MB, 7037 KB/s, 0 seconds passed
...79%, 0.57 MB, 7127 KB/s, 0 seconds passed
...80%, 0.58 MB, 7215 KB/s, 0 seconds passed
...81%, 0.59 MB, 7277 KB/s, 0 seconds passed
...82%, 0.59 MB, 7365 KB/s, 0 seconds passed
...83%, 0.60 MB, 7371 KB/s, 0 seconds passed
...84%, 0.61 MB, 7457 KB/s, 0 seconds passed
...85%, 0.62 MB, 7544 KB/s, 0 seconds passed
...87%, 0.62 MB, 7630 KB/s, 0 seconds passed
...88%, 0.63 MB, 7709 KB/s, 0 seconds passed
...89%, 0.64 MB, 7795 KB/s, 0
seconds passed
...90%, 0.65 MB, 7856 KB/s, 0 seconds passed
...91%, 0.66 MB, 7940 KB/s, 0 seconds passed
...92%, 0.66 MB, 7988 KB/s, 0 seconds passed
...93%, 0.67 MB, 8064 KB/s, 0 seconds passed
...94%, 0.68 MB, 8119 KB/s, 0 seconds passed
...95%, 0.69 MB, 8202 KB/s, 0 seconds passed
...96%, 0.70 MB, 8261 KB/s, 0 seconds passed
...97%, 0.70 MB, 8344 KB/s, 0 seconds passed
...99%, 0.71 MB, 8394 KB/s, 0 seconds passed
...100%, 0.72 MB, 8463 KB/s, 0 seconds passed
+
...1%, 0.01 MB, 47 KB/s, 0 seconds passed
...2%, 0.02 MB, 94 KB/s, 0 seconds passed
...3%, 0.02 MB, 141 KB/s, 0 seconds passed
...4%, 0.03 MB, 188 KB/s, 0 seconds passed
...5%, 0.04 MB, 235 KB/s, 0 seconds passed
...6%, 0.05 MB, 281 KB/s, 0 seconds passed
...7%, 0.05 MB, 328 KB/s, 0 seconds passed
...8%, 0.06 MB, 374 KB/s, 0 seconds passed
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...10%, 0.08 MB, 465 KB/s, 0 seconds passed
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...45%, 0.33
MB, 1868 KB/s, 0 seconds passed
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...48%, 0.35 MB, 1996 KB/s, 0 seconds passed
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...52%, 0.38 MB, 2121 KB/s, 0 seconds passed
...53%, 0.38 MB, 2164 KB/s, 0 seconds passed
...54%, 0.39 MB, 2207 KB/s, 0 seconds passed
...55%, 0.40 MB, 2241 KB/s, 0 seconds passed
...56%, 0.41 MB, 2283 KB/s, 0 seconds passed
...57%, 0.41 MB, 2325 KB/s, 0 seconds passed
...58%, 0.42 MB, 2368 KB/s, 0 seconds passed
...59%, 0.43 MB, 2410 KB/s, 0 seconds passed
...60%, 0.44 MB, 2453 KB/s, 0 seconds passed
...62%, 0.45 MB, 2492 KB/s, 0 seconds passed
...63%, 0.45 MB, 2534 KB/s, 0 seconds passed
...64%, 0.46 MB, 2574 KB/s, 0 seconds passed
...65%, 0.47 MB, 2616 KB/s, 0 seconds passed
...66%, 0.48 MB, 2658 KB/s, 0 seconds passed
...67%, 0.48 MB, 2701 KB/s, 0
seconds passed
...68%, 0.49 MB, 2734 KB/s, 0 seconds passed
...69%, 0.50 MB, 2775 KB/s, 0 seconds passed
...70%, 0.51 MB, 2816 KB/s, 0 seconds passed
...71%, 0.52 MB, 2858 KB/s, 0 seconds passed
...72%, 0.52 MB, 2900 KB/s, 0 seconds passed
...73%, 0.53 MB, 2942 KB/s, 0 seconds passed
...75%, 0.54 MB, 2979 KB/s, 0 seconds passed
...76%, 0.55 MB, 3021 KB/s, 0 seconds passed
...77%, 0.55 MB, 3059 KB/s, 0 seconds passed
...78%, 0.56 MB, 3100 KB/s, 0 seconds passed
...79%, 0.57 MB, 3141 KB/s, 0 seconds passed
...80%, 0.58 MB, 3183 KB/s, 0 seconds passed
...81%, 0.59 MB, 3219 KB/s, 0 seconds passed
...82%, 0.59 MB, 3260 KB/s, 0 seconds passed
...83%, 0.60 MB, 3298 KB/s, 0 seconds passed
...84%, 0.61 MB, 3339 KB/s, 0 seconds passed
...85%, 0.62 MB, 3380 KB/s, 0 seconds passed
...87%, 0.62 MB, 3421 KB/s, 0 seconds passed
...88%, 0.63 MB, 3455 KB/s, 0 seconds passed
...89%, 0.64 MB, 3496 KB/s, 0 seconds passed
...90%, 0.65 MB, 3536 KB/s, 0 seconds passed
...91%, 0.66 MB, 3576 KB/s, 0 seconds passed
...92%, 0.66 MB, 3617 KB/s, 0 seconds passed
...93%, 0.67 MB, 3657 KB/s, 0 seconds passed
...94%, 0.68 MB, 3697 KB/s, 0 seconds passed
...95%, 0.69 MB, 3738 KB/s, 0 seconds passed
...96%, 0.70 MB, 3777 KB/s, 0 seconds passed
...97%, 0.70 MB, 3818 KB/s, 0 seconds passed
...99%, 0.71 MB, 3858 KB/s, 0 seconds passed
...100%, 0.72 MB, 3894 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 606f2da..16551ea 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, 198 KB/s, 0 seconds passed
...25%, 0.02 MB, 331 KB/s, 0 seconds passed
...38%, 0.02 MB, 495 KB/s, 0 seconds passed
...51%, 0.03 MB, 651 KB/s, 0 seconds passed
...64%, 0.04 MB, 800 KB/s, 0 seconds passed
...77%, 0.05 MB, 840 KB/s, 0 seconds passed
...89%, 0.05 MB, 974 KB/s, 0 seconds passed
...100%, 0.06 MB, 1091 KB/s, 0 seconds passed
- resnet18_v1 inference graph built in 5.16s!
+
...12%, 0.01 MB, 514 KB/s, 0 seconds passed
...25%, 0.02 MB, 984 KB/s, 0 seconds passed
...38%, 0.02 MB, 1457 KB/s, 0 seconds passed
...51%, 0.03 MB, 1921 KB/s, 0 seconds passed
...64%, 0.04 MB, 2350 KB/s, 0 seconds passed
...77%, 0.05 MB, 2726 KB/s, 0 seconds passed
...89%, 0.05 MB, 3114 KB/s, 0 seconds passed
...100%, 0.06 MB, 3482 KB/s, 0 seconds passed
+ resnet18_v1 inference graph built in 5.00s!
diff --git a/docs/_sources/vta/tutorials/frontend/deploy_detection.rst.txt b/docs/_sources/vta/tutorials/frontend/deploy_detection.rst.txt
index cb3c11a..c809b41 100644
--- a/docs/_sources/vta/tutorials/frontend/deploy_detection.rst.txt
+++ b/docs/_sources/vta/tutorials/frontend/deploy_detection.rst.txt
@@ -315,7 +315,7 @@ The compilation steps are:
.. code-block:: none
- yolov3-tiny inference graph built in 6.05s!
+ yolov3-tiny inference graph built in 6.07s!
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 0742ef5..ed0f549 100644
--- a/docs/_sources/vta/tutorials/frontend/sg_execution_times.rst.txt
+++ b/docs/_sources/vta/tutorials/frontend/sg_execution_times.rst.txt
@@ -5,7 +5,7 @@
Computation times
=================
-**01:01.239** total execution time for **vta_tutorials_frontend** files:
+**01:14.029** total execution time for **vta_tutorials_frontend** files:
-- **00:36.704**: :ref:`sphx_glr_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``)
-- **00:24.535**: :ref:`sphx_glr_vta_tutorials_frontend_deploy_classification.py` (``deploy_classification.py``)
+- **00:43.679**: :ref:`sphx_glr_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``)
+- **00:30.350**: :ref:`sphx_glr_vta_tutorials_frontend_deploy_classification.py` (``deploy_classification.py``)
diff --git a/docs/_sources/vta/tutorials/optimize/convolution_opt.rst.txt b/docs/_sources/vta/tutorials/optimize/convolution_opt.rst.txt
index 011c550..ce0e246 100644
--- a/docs/_sources/vta/tutorials/optimize/convolution_opt.rst.txt
+++ b/docs/_sources/vta/tutorials/optimize/convolution_opt.rst.txt
@@ -257,8 +257,8 @@ Those include:
primfn(data_1: handle, kernel_1: handle, res_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {res: Buffer(res_2: handle, int8, [1, 16, 14, 14, 1, 16], []),
- kernel: Buffer(kernel_2: handle, int8, [16, 16, 3, 3, 16, 16], []),
+ buffers = {kernel: Buffer(kernel_2: handle, int8, [16, 16, 3, 3, 16, 16], []),
+ res: Buffer(res_2: handle, int8, [1, 16, 14, 14, 1, 16], []),
data: Buffer(data_2: handle, int8, [1, 16, 14, 14, 1, 16], [])}
buffer_map = {data_1: data, kernel_1: kernel, res_1: res} {
attr [data_buf: handle] "storage_scope" = "global";
@@ -453,8 +453,8 @@ below.
primfn(data_1: handle, kernel_1: handle, res_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {kernel: Buffer(kernel_2: handle, int8, [16, 16, 3, 3, 16, 16], []),
- res: Buffer(res_2: handle, int8, [1, 16, 14, 14, 1, 16], []),
+ buffers = {res: Buffer(res_2: handle, int8, [1, 16, 14, 14, 1, 16], []),
+ kernel: Buffer(kernel_2: handle, int8, [16, 16, 3, 3, 16, 16], []),
data: Buffer(data_2: handle, int8, [1, 16, 14, 14, 1, 16], [])}
buffer_map = {data_1: data, kernel_1: kernel, res_1: res} {
attr [data_buf: handle] "storage_scope" = "global";
diff --git a/docs/_sources/vta/tutorials/optimize/matrix_multiply_opt.rst.txt b/docs/_sources/vta/tutorials/optimize/matrix_multiply_opt.rst.txt
index f114ffc..e3e44ab 100644
--- a/docs/_sources/vta/tutorials/optimize/matrix_multiply_opt.rst.txt
+++ b/docs/_sources/vta/tutorials/optimize/matrix_multiply_opt.rst.txt
@@ -202,8 +202,8 @@ Those include:
primfn(data_1: handle, weight_1: handle, res_1: handle) -> ()
attr = {"global_symbol": "main", "tir.noalias": True}
- buffers = {weight: Buffer(weight_2: handle, int8, [64, 64, 16, 16], []),
- res: Buffer(res_2: handle, int8, [1, 64, 1, 16], []),
+ buffers = {res: Buffer(res_2: handle, int8, [1, 64, 1, 16], []),
+ weight: Buffer(weight_2: handle, int8, [64, 64, 16, 16], []),
data: Buffer(data_2: handle, int8, [1, 64, 1, 16], [])}
buffer_map = {data_1: data, weight_1: weight, res_1: res} {
attr [data_buf: handle] "storage_scope" = "global";
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 742aea9..1891759 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
=================
-**00:03.704** total execution time for **vta_tutorials_optimize** files:
+**00:03.515** total execution time for **vta_tutorials_optimize** files:
-- **00:03.219**: :ref:`sphx_glr_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)
-- **00:00.485**: :ref:`sphx_glr_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``)
+- **00:02.987**: :ref:`sphx_glr_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)
+- **00:00.528**: :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 c60b471..8765209 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
=================
-**00:00.855** total execution time for **vta_tutorials** files:
+**00:01.005** total execution time for **vta_tutorials** files:
-- **00:00.449**: :ref:`sphx_glr_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``)
-- **00:00.406**: :ref:`sphx_glr_vta_tutorials_vta_get_started.py` (``vta_get_started.py``)
+- **00:00.506**: :ref:`sphx_glr_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``)
+- **00:00.499**: :ref:`sphx_glr_vta_tutorials_vta_get_started.py` (``vta_get_started.py``)
diff --git a/docs/api/doxygen/annotated.html b/docs/api/doxygen/annotated.html
index 046d591..15b11bf 100644
--- a/docs/api/doxygen/annotated.html
+++ b/docs/api/doxygen/annotated.html
@@ -115,611 +115,689 @@ var searchBox = new SearchBox("searchBox", "search",false,'Search');
<tr id="row_2_0_16_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1arith_1_1ModularSetAnalyzer.html" target="_self">ModularSetAnalyzer</a></td><td class="desc"><a class="el" href="classtvm_1_1arith_1_1Analyzer.html" title="Analyzer that contains bunch of sub-analyzers. ">Analyzer</a> to get modular information over expression </td></tr>
<tr id="row_2_0_17_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1arith_1_1ModularSetNode.html" target="_self">ModularSetNode</a></td><td class="desc"><a class="el" href="classtvm_1_1Range.html" title="Range constainer. ">Range</a> of a linear integer function. Use to do specify the possible index values </td></tr>
<tr id="row_2_0_18_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html" target="_self">RewriteSimplifier</a></td><td class="desc">Rewrite-rule based simplifier </td></tr>
-<tr id="row_2_1_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_1_" class="arrow" onclick="toggleFolder('2_1_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1detail.html" target="_self">detail</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1detail_1_1AttrDocEntry.html" target="_self">AttrDocEntry</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_1_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1detail_1_1AttrDocVisitor.html" target="_self">AttrDocVisitor</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_2_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1detail_1_1AttrExistVisitor.html" target="_self">AttrExistVisitor</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_3_" style="display:none;"><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_1detail_1_1AttrInitEntry.html" target="_self">AttrInitEntry</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_4_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1detail_1_1AttrInitVisitor.html" target="_self">AttrInitVisitor</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_5_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1detail_1_1AttrNonDefaultVisitor.html" target="_self">AttrNonDefaultVisitor</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_6_" style="display:none;"><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_1detail_1_1AttrNopEntry.html" target="_self">AttrNopEntry</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_7_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1detail_1_1AttrNormalVisitor.html" target="_self">AttrNormalVisitor</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_8_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1detail_1_1AttrsSEqualVisitor.html" target="_self">AttrsSEqualVisitor</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_9_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1detail_1_1AttrsSHashVisitor.html" target="_self">AttrsSHashVisitor</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_10_" style="display:none;"><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_1detail_1_1AttrTriggerNonDefaultEntry.html" target="_self">AttrTriggerNonDefaultEntry</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_11_" style="display:none;"><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_1detail_1_1ImplSEqualReduce.html" target="_self">ImplSEqualReduce</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_12_" style="display:none;"><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_1detail_1_1ImplSEqualReduce_3_01T_00_01true_01_4.html" target="_self">ImplSEqualReduce< T, true ></a></td><td class="desc"></td></tr>
-<tr id="row_2_1_13_" style="display:none;"><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_1detail_1_1ImplSHashReduce.html" target="_self">ImplSHashReduce</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_14_" style="display:none;"><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_1detail_1_1ImplSHashReduce_3_01T_00_01true_01_4.html" target="_self">ImplSHashReduce< T, true ></a></td><td class="desc"></td></tr>
-<tr id="row_2_1_15_" style="display:none;"><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_1detail_1_1ImplVisitAttrs.html" target="_self">ImplVisitAttrs</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_16_" style="display:none;"><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_1detail_1_1ImplVisitAttrs_3_01T_00_01true_01_4.html" target="_self">ImplVisitAttrs< T, true ></a></td><td class="desc"></td></tr>
-<tr id="row_2_1_17_" style="display:none;"><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_1detail_1_1is__specialized.html" target="_self">is_specialized</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_18_" style="display:none;"><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_1detail_1_1is__specialized_3_01Container_3_01Args_8_8_8_01_4_00_01Container_01_4.html" target="_self">is_specialized< Container< Args... >, Container ></a></td><td class="desc"></td></tr>
-<tr id="row_2_1_19_" style="display:none;"><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_1detail_1_1ReflectionTrait.html" target="_self">ReflectionTrait</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_20_" style="display:none;"><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_1detail_1_1SelectSEqualReduce.html" target="_self">SelectSEqualReduce</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_21_" style="display:none;"><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_1detail_1_1SelectSEqualReduce_3_01T_00_01TraitName_00_01false_01_4.html" target="_self">SelectSEqualReduce< T, TraitName, false ></a></td><td class="desc"></td></tr>
-<tr id="row_2_1_22_" style="display:none;"><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_1detail_1_1SelectSHashReduce.html" target="_self">SelectSHashReduce</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_23_" style="display:none;"><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_1detail_1_1SelectSHashReduce_3_01T_00_01TraitName_00_01false_01_4.html" target="_self">SelectSHashReduce< T, TraitName, false ></a></td><td class="desc"></td></tr>
-<tr id="row_2_1_24_" style="display:none;"><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_1detail_1_1SelectVisitAttrs.html" target="_self">SelectVisitAttrs</a></td><td class="desc"></td></tr>
-<tr id="row_2_1_25_" style="display:none;"><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_1detail_1_1SelectVisitAttrs_3_01T_00_01TraitName_00_01false_01_4.html" target="_self">SelectVisitAttrs< T, TraitName, false ></a></td><td class="desc"></td></tr>
-<tr id="row_2_1_26_" style="display:none;"><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_1detail_1_1TypeName.html" target="_self">TypeName</a></td><td class="desc">Helper struct to get the type name known to tvm </td></tr>
-<tr id="row_2_1_27_" style="display:none;"><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_1detail_1_1TypeName_3_01bool_01_4.html" target="_self">TypeName< bool ></a></td><td class="desc"></td></tr>
-<tr id="row_2_1_28_" style="display:none;"><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_1detail_1_1TypeName_3_01DataType_01_4.html" target="_self">TypeName< DataType ></a></td><td class="desc"></td></tr>
-<tr id="row_2_1_29_" style="display:none;"><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_1detail_1_1TypeName_3_01double_01_4.html" target="_self">TypeName< double ></a></td><td class="desc"></td></tr>
-<tr id="row_2_1_30_" style="display:none;"><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_1detail_1_1TypeName_3_01int_01_4.html" target="_self">TypeName< int ></a></td><td class="desc"></td></tr>
-<tr id="row_2_1_31_" style="display:none;"><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_1detail_1_1TypeName_3_01int64__t_01_4.html" target="_self">TypeName< int64_t ></a></td><td class="desc"></td></tr>
-<tr id="row_2_1_32_" style="display:none;"><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_1detail_1_1TypeName_3_01uint64__t_01_4.html" target="_self">TypeName< uint64_t ></a></td><td class="desc"></td></tr>
-<tr id="row_2_1_33_" style="display:none;"><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_1detail_1_1TypeName_3_01void_01_5_01_4.html" target="_self">TypeName< void * ></a></td><td class="desc"></td></tr>
-<tr id="row_2_1_34_" style="display:none;"><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_1detail_1_1ValueTypeInfoMaker.html" target="_self">ValueTypeInfoMaker</a></td><td class="desc"></td></tr>
-<tr id="row_2_2_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_2_" class="arrow" onclick="toggleFolder('2_2_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1relay.html" target="_self">relay</a></td><td class="desc">Relay: a high level functional IR for TVM </td></tr>
-<tr id="row_2_2_0_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_2_0_" class="arrow" onclick="toggleFolder('2_2_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1relay_1_1qnn.html" target="_self">qnn</a></td><td class="desc"></td></tr>
-<tr id="row_2_2_0_0_" 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="structtvm_1_1relay_1_1qnn_1_1DequantizeAttrs.html" target="_self">DequantizeAttrs</a></td><td class="desc">Attribute for dequantize operator </td></tr>
-<tr id="row_2_2_0_1_" 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="structtvm_1_1relay_1_1qnn_1_1QuantizeAttrs.html" target="_self">QuantizeAttrs</a></td><td class="desc">Attribute for quantize operator </td></tr>
-<tr id="row_2_2_0_2_" 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="structtvm_1_1relay_1_1qnn_1_1RequantizeAttrs.html" target="_self">RequantizeAttrs</a></td><td class="desc">Attribute for requantize operator </td></tr>
-<tr id="row_2_2_1_" style="display:none;"><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_1AdaptivePool2DAttrs.html" target="_self">AdaptivePool2DAttrs</a></td><td class="desc">Attributes for adaptive pool operator </td></tr>
-<tr id="row_2_2_2_" style="display:none;"><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_1AdaptivePool3DAttrs.html" target="_self">AdaptivePool3DAttrs</a></td><td class="desc"></td></tr>
-<tr id="row_2_2_3_" style="display:none;"><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_1AffineGridAttrs.html" target="_self">AffineGridAttrs</a></td><td class="desc">Attributes used in image affine_grid operator </td></tr>
-<tr id="row_2_2_4_" style="display:none;"><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_1AllocStorageAttrs.html" target="_self">AllocStorageAttrs</a></td><td class="desc">Options for allocating storage </td></tr>
-<tr id="row_2_2_5_" style="display:none;"><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_1AllocTensorAttrs.html" target="_self">AllocTensorAttrs</a></td><td class="desc">Options for allocating tensors </td></tr>
-<tr id="row_2_2_6_" style="display:none;"><td class="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_1AltPattern.html" target="_self">AltPattern</a></td><td class="desc">A pattern which matches either of two patterns </td></tr>
-<tr id="row_2_2_7_" style="display:none;"><td class="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_1AltPatternNode.html" target="_self">AltPatternNode</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 Alternate Expressions </td></tr>
-<tr id="row_2_2_8_" style="display:none;"><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_1ArangeAttrs.html" target="_self">ArangeAttrs</a></td><td class="desc">Attributes used in arange operators </td></tr>
-<tr id="row_2_2_9_" style="display:none;"><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_2_2_10_" style="display:none;"><td class="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_2_2_11_" style="display:none;"><td class="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_2_2_12_" style="display:none;"><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_2_2_13_" style="display:none;"><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_2_2_14_" style="display:none;"><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_2_2_15_" style="display:none;"><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_2_2_16_" style="display:none;"><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_2_2_17_" style="display:none;"><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_2_2_18_" style="display:none;"><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_2_2_19_" style="display:none;"><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_2_2_20_" style="display:none;"><td class="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_2_2_21_" style="display:none;"><td class="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_2_2_22_" style="display:none;"><td class="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_2_2_23_" style="display:none;"><td class="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_2_2_24_" style="display:none;"><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_2_2_25_" style="display:none;"><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_2_2_26_" style="display:none;"><td class="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_2_2_27_" style="display:none;"><td class="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_2_2_28_" style="display:none;"><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_2_2_29_" style="display:none;"><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_2_2_30_" style="display:none;"><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_2_2_31_" style="display:none;"><td class="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_2_2_32_" style="display:none;"><td class="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_2_2_33_" style="display:none;"><td class="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_2_2_34_" style="display:none;"><td class="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_2_2_35_" style="display:none;"><td class="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_2_2_36_" style="display:none;"><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_2_2_37_" style="display:none;"><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_2_2_38_" style="display:none;"><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_2_2_39_" style="display:none;"><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_2_2_40_" style="display:none;"><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_2_2_41_" style="display:none;"><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_2_2_42_" style="display:none;"><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_2_2_43_" style="display:none;"><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_2_2_44_" style="display:none;"><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_2_2_45_" style="display:none;"><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_2_2_46_" style="display:none;"><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_2_2_47_" style="display:none;"><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_2_2_48_" style="display:none;"><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_2_2_49_" style="display:none;"><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_2_2_50_" style="display:none;"><td class="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_2_2_51_" style="display:none;"><td class="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_2_2_52_" style="display:none;"><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_2_2_53_" style="display:none;"><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_2_2_54_" style="display:none;"><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_2_2_55_" style="display:none;"><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_2_2_56_" style="display:none;"><td class="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_2_2_57_" style="display:none;"><td class="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_2_2_58_" style="display:none;"><td class="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_2_2_59_" style="display:none;"><td class="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 </td></tr>
-<tr id="row_2_2_60_" style="display:none;"><td class="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_2_2_61_" style="display:none;"><td class="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_2_2_62_" style="display:none;"><td class="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. ">DFPatternFunctor</a [...]
-<tr id="row_2_2_63_" style="display:none;"><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_2_2_64_" style="display:none;"><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_2_2_65_" style="display:none;"><td class="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_2_2_66_" style="display:none;"><td class="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="classtvm_1_1rela [...]
-<tr id="row_2_2_67_" style="display:none;"><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_2_2_68_" style="display:none;"><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_2_2_69_" style="display:none;"><td class="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="classtvm_1_1rel [...]
-<tr id="row_2_2_70_" style="display:none;"><td class="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_2_2_71_" style="display:none;"><td class="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...">ExprFunctor</a> w [...]
-<tr id="row_2_2_72_" style="display:none;"><td class="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_2_2_73_" style="display:none;"><td class="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_2_2_74_" style="display:none;"><td class="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_2_2_75_" style="display:none;"><td class="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 powerfu...">Ex [...]
-<tr id="row_2_2_76_" style="display:none;"><td class="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_2_2_77_" style="display:none;"><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_2_2_78_" style="display:none;"><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_2_2_79_" style="display:none;"><td class="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_2_2_80_" style="display:none;"><td class="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_2_2_81_" style="display:none;"><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_2_2_82_" style="display:none;"><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_2_2_83_" style="display:none;"><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_2_2_84_" style="display:none;"><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_2_2_85_" style="display:none;"><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_2_2_86_" style="display:none;"><td class="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_2_2_87_" style="display:none;"><td class="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_2_2_88_" style="display:none;"><td class="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_2_2_89_" style="display:none;"><td class="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_2_2_90_" style="display:none;"><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_2_2_91_" style="display:none;"><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_2_2_92_" style="display:none;"><td class="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_2_2_93_" style="display:none;"><td class="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_2_2_94_" style="display:none;"><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_2_2_95_" style="display:none;"><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_2_2_96_" style="display:none;"><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_2_2_97_" style="display:none;"><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_2_2_98_" style="display:none;"><td class="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_2_2_99_" style="display:none;"><td class="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_2_2_100_" style="display:none;"><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_2_2_101_" style="display:none;"><td class="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_2_2_102_" style="display:none;"><td class="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_2_2_103_" style="display:none;"><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_2_2_104_" style="display:none;"><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_2_2_105_" style="display:none;"><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_2_2_106_" style="display:none;"><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_2_2_107_" style="display:none;"><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_2_2_108_" style="display:none;"><td class="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_2_2_109_" style="display:none;"><td class="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 traverses th [...]
-<tr id="row_2_2_110_" style="display:none;"><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_2_2_111_" style="display:none;"><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_2_2_112_" style="display:none;"><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_2_2_113_" style="display:none;"><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_2_2_114_" style="display:none;"><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_2_2_115_" style="display:none;"><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_2_2_116_" style="display:none;"><td class="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_2_2_117_" style="display:none;"><td class="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_2_2_118_" style="display:none;"><td class="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_2_2_119_" style="display:none;"><td class="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_2_2_120_" style="display:none;"><td class="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_2_2_121_" style="display:none;"><td class="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_2_2_122_" style="display:none;"><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_2_2_123_" style="display:none;"><td class="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_2_2_124_" style="display:none;"><td class="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_2_2_125_" style="display:none;"><td class="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_2_2_126_" style="display:none;"><td class="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 VisitPattern </ [...]
-<tr id="row_2_2_127_" style="display:none;"><td class="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_2_2_128_" style="display:none;"><td class="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...">ExprFuncto [...]
-<tr id="row_2_2_129_" style="display:none;"><td class="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_2_2_130_" style="display:none;"><td class="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_2_2_131_" style="display:none;"><td class="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_2_2_132_" style="display:none;"><td class="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_2_2_133_" style="display:none;"><td class="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_2_2_134_" style="display:none;"><td class="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 use this as a m [...]
-<tr id="row_2_2_135_" style="display:none;"><td class="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_2_2_136_" style="display:none;"><td class="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_2_2_137_" style="display:none;"><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_2_2_138_" style="display:none;"><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_2_2_139_" style="display:none;"><td class="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_2_2_140_" style="display:none;"><td class="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_2_2_141_" style="display:none;"><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_2_2_142_" style="display:none;"><td class="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_2_2_143_" style="display:none;"><td class="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_2_2_144_" style="display:none;"><td class="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_2_2_145_" style="display:none;"><td class="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_2_2_146_" style="display:none;"><td class="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_2_2_147_" style="display:none;"><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_2_2_148_" style="display:none;"><td class="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_2_2_149_" style="display:none;"><td class="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_2_2_150_" style="display:none;"><td class="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_2_2_151_" style="display:none;"><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_2_2_152_" style="display:none;"><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_2_2_153_" style="display:none;"><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_2_2_154_" style="display:none;"><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_2_2_155_" style="display:none;"><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_2_2_156_" style="display:none;"><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_2_2_157_" style="display:none;"><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_2_2_158_" style="display:none;"><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_2_2_159_" style="display:none;"><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_2_2_160_" style="display:none;"><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_2_2_161_" style="display:none;"><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_2_2_162_" style="display:none;"><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_2_2_163_" style="display:none;"><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_2_2_164_" style="display:none;"><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_2_2_165_" style="display:none;"><td class="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_2_2_166_" style="display:none;"><td class="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_2_2_167_" style="display:none;"><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_2_2_168_" style="display:none;"><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_2_2_169_" style="display:none;"><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_2_2_170_" style="display:none;"><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_2_2_171_" style="display:none;"><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_2_2_172_" style="display:none;"><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_2_2_173_" style="display:none;"><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_2_2_174_" style="display:none;"><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_2_2_175_" style="display:none;"><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_2_2_176_" style="display:none;"><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_2_2_177_" style="display:none;"><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_2_2_178_" style="display:none;"><td class="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_2_2_179_" style="display:none;"><td class="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_2_2_180_" style="display:none;"><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_2_2_181_" style="display:none;"><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_2_2_182_" style="display:none;"><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_2_2_183_" style="display:none;"><td class="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_2_2_184_" style="display:none;"><td class="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_2_2_185_" style="display:none;"><td class="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_2_2_186_" style="display:none;"><td class="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_2_2_187_" style="display:none;"><td class="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_2_2_188_" style="display:none;"><td class="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_2_2_189_" style="display:none;"><td class="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_2_2_190_" style="display:none;"><td class="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_2_2_191_" style="display:none;"><td class="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_2_2_192_" style="display:none;"><td class="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_2_2_193_" style="display:none;"><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_2_2_194_" style="display:none;"><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_2_2_195_" style="display:none;"><td class="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_2_2_196_" style="display:none;"><td class="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_2_2_197_" style="display:none;"><td class="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_2_2_198_" style="display:none;"><td class="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_2_2_199_" style="display:none;"><td class="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_2_2_200_" style="display:none;"><td class="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_2_2_201_" style="display:none;"><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_2_3_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_3_" class="arrow" onclick="toggleFolder('2_3_')">►</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_2_3_0_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_3_0_" class="arrow" onclick="toggleFolder('2_3_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1runtime_1_1threading.html" target="_self">threading</a></td><td class="desc"></td></tr>
-<tr id="row_2_3_0_0_" 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_1threading_1_1ThreadGroup.html" target="_self">ThreadGroup</a></td><td class="desc">A platform-agnostic abstraction for managing a collection of thread pool threads </td></tr>
-<tr id="row_2_3_1_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_3_1_" class="arrow" onclick="toggleFolder('2_3_1_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1runtime_1_1vm.html" target="_self">vm</a></td><td class="desc"></td></tr>
-<tr id="row_2_3_1_0_" 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_1vm_1_1Closure.html" target="_self">Closure</a></td><td class="desc">Reference to closure </td></tr>
-<tr id="row_2_3_1_1_" 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_1vm_1_1ClosureObj.html" target="_self">ClosureObj</a></td><td class="desc">An object representing a closure. This object is used by both the Relay VM and interpreter </td></tr>
-<tr id="row_2_3_1_2_" 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_1vm_1_1Executable.html" target="_self">Executable</a></td><td class="desc">The executable emitted by the VM compiler </td></tr>
-<tr id="row_2_3_1_3_" 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="structtvm_1_1runtime_1_1vm_1_1Instruction.html" target="_self">Instruction</a></td><td class="desc">A single virtual machine instruction </td></tr>
-<tr id="row_2_3_1_4_" 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_1vm_1_1VirtualMachine.html" target="_self">VirtualMachine</a></td><td class="desc">The virtual machine </td></tr>
-<tr id="row_2_3_1_5_" 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_1vm_1_1VMClosure.html" target="_self">VMClosure</a></td><td class="desc">Reference to closure </td></tr>
-<tr id="row_2_3_1_6_" 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_1vm_1_1VMClosureObj.html" target="_self">VMClosureObj</a></td><td class="desc">An object representing a vm closure </td></tr>
-<tr id="row_2_3_1_7_" 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="structtvm_1_1runtime_1_1vm_1_1VMFrame.html" target="_self">VMFrame</a></td><td class="desc">A representation of a stack frame </td></tr>
-<tr id="row_2_3_1_8_" 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="structtvm_1_1runtime_1_1vm_1_1VMFunction.html" target="_self">VMFunction</a></td><td class="desc">A representation of a Relay function in the VM </td></tr>
-<tr id="row_2_3_2_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1ADT.html" target="_self">ADT</a></td><td class="desc">Reference to algebraic data type objects </td></tr>
-<tr id="row_2_3_3_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1ADTObj.html" target="_self">ADTObj</a></td><td class="desc">An object representing a structure or enumeration </td></tr>
-<tr id="row_2_3_4_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_3_4_" class="arrow" onclick="toggleFolder('2_3_4_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1Array.html" target="_self">Array</a></td><td class="desc"><a class="el" href="classtvm_1_1runtime_1_1Array.html" title="Array, container representing a contigious sequence of ObjectRefs. ">Arr [...]
-<tr id="row_2_3_4_0_" 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="structtvm_1_1runtime_1_1Array_1_1ValueConverter.html" target="_self">ValueConverter</a></td><td class="desc"></td></tr>
-<tr id="row_2_3_5_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1ArrayNode.html" target="_self">ArrayNode</a></td><td class="desc"><a class="el" href="classtvm_1_1runtime_1_1Array.html" title="Array, container representing a contigious sequence of ObjectRefs. ">Array</a> node content in array </td></tr>
-<tr id="row_2_3_6_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1DataType.html" target="_self">DataType</a></td><td class="desc">Runtime primitive data type </td></tr>
-<tr id="row_2_3_7_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1DeviceAPI.html" target="_self">DeviceAPI</a></td><td class="desc">TVM Runtime Device API, abstracts the device specific interface for memory management </td></tr>
-<tr id="row_2_3_8_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1InplaceArrayBase.html" target="_self">InplaceArrayBase</a></td><td class="desc">Base template for classes with array like memory layout </td></tr>
-<tr id="row_2_3_9_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1IterAdapter.html" target="_self">IterAdapter</a></td><td class="desc">Iterator adapter that adapts TIter to return another type </td></tr>
-<tr id="row_2_3_10_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1Module.html" target="_self">Module</a></td><td class="desc"><a class="el" href="classtvm_1_1runtime_1_1Module.html" title="Module container of TVM. ">Module</a> container of TVM </td></tr>
-<tr id="row_2_3_11_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1ModuleNode.html" target="_self">ModuleNode</a></td><td class="desc">Base container of module </td></tr>
-<tr id="row_2_3_12_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_3_12_" class="arrow" onclick="toggleFolder('2_3_12_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1NDArray.html" target="_self">NDArray</a></td><td class="desc">Managed <a class="el" href="classtvm_1_1runtime_1_1NDArray.html" title="Managed NDArray. The array is backed by reference count [...]
-<tr id="row_2_3_12_0_" 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_1NDArray_1_1Container.html" target="_self">Container</a></td><td class="desc"><a class="el" href="classtvm_1_1runtime_1_1Object.html" title="base class of all object containers. ">Object</a> container class that backs <a class="el" href="classtvm_1_1runtime_1_1NDArray.html [...]
-<tr id="row_2_3_12_1_" 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_1NDArray_1_1ContainerBase.html" target="_self">ContainerBase</a></td><td class="desc">The container base structure contains all the fields except for the <a class="el" href="classtvm_1_1runtime_1_1Object.html" title="base class of all object containers. ">Object</a> header [...]
-<tr id="row_2_3_13_" style="display:none;"><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_1runtime_1_1NullOptType.html" target="_self">NullOptType</a></td><td class="desc">Helper to represent nullptr for optional </td></tr>
-<tr id="row_2_3_14_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1ObjAllocatorBase.html" target="_self">ObjAllocatorBase</a></td><td class="desc">Base class of object allocators that implements make. Use curiously recurring template pattern </td></tr>
-<tr id="row_2_3_15_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1Object.html" target="_self">Object</a></td><td class="desc">Base class of all object containers </td></tr>
-<tr id="row_2_3_16_" style="display:none;"><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_1runtime_1_1ObjectEqual.html" target="_self">ObjectEqual</a></td><td class="desc">String-aware <a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html" title="Base class of all object reference. ">ObjectRef</a> hash functor </td></tr>
-<tr id="row_2_3_17_" style="display:none;"><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_1runtime_1_1ObjectHash.html" target="_self">ObjectHash</a></td><td class="desc">String-aware <a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html" title="Base class of all object reference. ">ObjectRef</a> equal functor </td></tr>
-<tr id="row_2_3_18_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1ObjectPtr.html" target="_self">ObjectPtr</a></td><td class="desc">A custom smart pointer for <a class="el" href="classtvm_1_1runtime_1_1Object.html" title="base class of all object containers. ">Object</a> </td></tr>
-<tr id="row_2_3_19_" style="display:none;"><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_1runtime_1_1ObjectPtrEqual.html" target="_self">ObjectPtrEqual</a></td><td class="desc"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html" title="Base class of all object reference. ">ObjectRef</a> equal functor </td></tr>
-<tr id="row_2_3_20_" style="display:none;"><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_1runtime_1_1ObjectPtrHash.html" target="_self">ObjectPtrHash</a></td><td class="desc"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html" title="Base class of all object reference. ">ObjectRef</a> hash functor </td></tr>
-<tr id="row_2_3_21_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html" target="_self">ObjectRef</a></td><td class="desc">Base class of all object reference </td></tr>
-<tr id="row_2_3_22_" style="display:none;"><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_1runtime_1_1ObjectTypeChecker.html" target="_self">ObjectTypeChecker</a></td><td class="desc"><a class="el" href="classtvm_1_1Type.html" title="Managed reference to TypeNode. ">Type</a> traits for runtime type check during FFI conversion </td></tr>
-<tr id="row_2_3_23_" style="display:none;"><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_1runtime_1_1ObjectTypeChecker_3_01Array_3_01T_01_4_01_4.html" target="_self">ObjectTypeChecker< Array< T > ></a></td><td class="desc"></td></tr>
-<tr id="row_2_3_24_" style="display:none;"><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_1runtime_1_1ObjectTypeChecker_3_01Map_3_01K_00_01V_01_4_01_4.html" target="_self">ObjectTypeChecker< Map< K, V > ></a></td><td class="desc"></td></tr>
-<tr id="row_2_3_25_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1Optional.html" target="_self">Optional</a></td><td class="desc"><a class="el" href="classtvm_1_1runtime_1_1Optional.html" title="Optional container that to represent to a Nullable variant of T. ">Optional</a> container that to represent to a Nullable variant of T </td></tr>
-<tr id="row_2_3_26_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1PackedFunc.html" target="_self">PackedFunc</a></td><td class="desc">Packed function is a type-erased function. The arguments are passed by packed format </td></tr>
-<tr id="row_2_3_27_" style="display:none;"><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_1runtime_1_1PackedFuncValueConverter.html" target="_self">PackedFuncValueConverter</a></td><td class="desc"><a class="el" href="classtvm_1_1Type.html" title="Managed reference to TypeNode. ">Type</a> trait to specify special value conversion rules from <a class="el" href="classtvm_1_1 [...]
-<tr id="row_2_3_28_" style="display:none;"><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_1runtime_1_1PackedFuncValueConverter_3_01Optional_3_01T_01_4_01_4.html" target="_self">PackedFuncValueConverter< Optional< T > ></a></td><td class="desc"></td></tr>
-<tr id="row_2_3_29_" style="display:none;"><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_1runtime_1_1PackedFuncValueConverter_3_01PrimExpr_01_4.html" target="_self">PackedFuncValueConverter< PrimExpr ></a></td><td class="desc"></td></tr>
-<tr id="row_2_3_30_" style="display:none;"><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_1runtime_1_1PackedFuncValueConverter_3_01tvm_1_1Bool_01_4.html" target="_self">PackedFuncValueConverter< tvm::Bool ></a></td><td class="desc"></td></tr>
-<tr id="row_2_3_31_" style="display:none;"><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_1runtime_1_1PackedFuncValueConverter_3_01tvm_1_1Integer_01_4.html" target="_self">PackedFuncValueConverter< tvm::Integer ></a></td><td class="desc"></td></tr>
-<tr id="row_2_3_32_" style="display:none;"><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_1runtime_1_1PackedFuncValueConverter_3_1_1tvm_1_1runtime_1_1String_01_4.html" target="_self">PackedFuncValueConverter<::tvm::runtime::String ></a></td><td class="desc"></td></tr>
-<tr id="row_2_3_33_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1Registry.html" target="_self">Registry</a></td><td class="desc"><a class="el" href="classtvm_1_1runtime_1_1Registry.html" title="Registry for global function. ">Registry</a> for global function </td></tr>
-<tr id="row_2_3_34_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1ReverseIterAdapter.html" target="_self">ReverseIterAdapter</a></td><td class="desc">Iterator adapter that adapts TIter to return another type </td></tr>
-<tr id="row_2_3_35_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_3_35_" class="arrow" onclick="toggleFolder('2_3_35_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1SimpleObjAllocator.html" target="_self">SimpleObjAllocator</a></td><td class="desc"></td></tr>
-<tr id="row_2_3_35_0_" 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_1SimpleObjAllocator_1_1ArrayHandler.html" target="_self">ArrayHandler</a></td><td class="desc"></td></tr>
-<tr id="row_2_3_35_1_" 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_1SimpleObjAllocator_1_1Handler.html" target="_self">Handler</a></td><td class="desc"></td></tr>
-<tr id="row_2_3_36_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1String.html" target="_self">String</a></td><td class="desc">Reference to string objects </td></tr>
-<tr id="row_2_3_37_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_3_37_" class="arrow" onclick="toggleFolder('2_3_37_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1StringObj.html" target="_self">StringObj</a></td><td class="desc">An object representing string. It's POD type </td></tr>
-<tr id="row_2_3_37_0_" 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_1StringObj_1_1FromStd.html" target="_self">FromStd</a></td><td class="desc">An object representing string moved from std::string </td></tr>
-<tr id="row_2_3_38_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1TVMArgs.html" target="_self">TVMArgs</a></td><td class="desc">Arguments into TVM functions </td></tr>
-<tr id="row_2_3_39_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1TVMArgsSetter.html" target="_self">TVMArgsSetter</a></td><td class="desc"></td></tr>
-<tr id="row_2_3_40_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1TVMArgValue.html" target="_self">TVMArgValue</a></td><td class="desc">A single argument value to <a class="el" href="classtvm_1_1runtime_1_1PackedFunc.html" title="Packed function is a type-erased function. The arguments are passed by packed format. ">PackedFunc</a>. Contai [...]
-<tr id="row_2_3_41_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1TVMMovableArgValue__.html" target="_self">TVMMovableArgValue_</a></td><td class="desc">Internal auxiliary struct for <a class="el" href="classtvm_1_1runtime_1_1TypedPackedFunc.html" title="Please refer to TypedPackedFunc<R(Args..)>. ">TypedPackedFunc</a> to indicate a [...]
-<tr id="row_2_3_42_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1TVMPODValue__.html" target="_self">TVMPODValue_</a></td><td class="desc">Internal base class to handle conversion to POD values </td></tr>
-<tr id="row_2_3_43_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1TVMRetValue.html" target="_self">TVMRetValue</a></td><td class="desc">Return Value container, Unlike <a class="el" href="classtvm_1_1runtime_1_1TVMArgValue.html" title="A single argument value to PackedFunc. Containing both type_code and TVMValue. ">TVMArgValue</a>, which o [...]
-<tr id="row_2_3_44_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1TypedPackedFunc.html" target="_self">TypedPackedFunc</a></td><td class="desc">Please refer to <a class="el" href="classtvm_1_1runtime_1_1TypedPackedFunc_3_01R_07Args_8_8_8_08_4.html#TypedPackedFuncAnchor">TypedPackedFunc<R(Args..)></a> </td></tr>
-<tr id="row_2_3_45_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1TypedPackedFunc_3_01R_07Args_8_8_8_08_4.html" target="_self">TypedPackedFunc< R(Args...)></a></td><td class="desc">A <a class="el" href="classtvm_1_1runtime_1_1PackedFunc.html" title="Packed function is a type-erased function. The arguments are passed by packed format [...]
-<tr id="row_2_3_46_" style="display:none;"><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_1runtime_1_1TypeIndex.html" target="_self">TypeIndex</a></td><td class="desc">Namespace for the list of type index </td></tr>
-<tr id="row_2_4_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_4_" class="arrow" onclick="toggleFolder('2_4_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1te.html" target="_self">te</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Tensor.html" title="Tensor structure representing a possible input, or intermediate computation result. ">Tensor</a [...]
-<tr id="row_2_4_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1BaseComputeOpNode.html" target="_self">BaseComputeOpNode</a></td><td class="desc">A Compute op that compute a tensor on certain domain. This is the base class for <a class="el" href="classtvm_1_1te_1_1ComputeOp.html" title="Managed reference to ComputeOpNode. ">ComputeOp</a> (ope [...]
-<tr id="row_2_4_1_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1ComputeOp.html" target="_self">ComputeOp</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1ComputeOpNode.html" title="A Compute op that compute a tensor on certain domain. ">ComputeOpNode</a> </td></tr>
-<tr id="row_2_4_2_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1ComputeOpNode.html" target="_self">ComputeOpNode</a></td><td class="desc">A Compute op that compute a tensor on certain domain </td></tr>
-<tr id="row_2_4_3_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1ExternOp.html" target="_self">ExternOp</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1ExternOpNode.html" title="External computation that cannot be splitted. ">ExternOpNode</a> </td></tr>
-<tr id="row_2_4_4_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1ExternOpNode.html" target="_self">ExternOpNode</a></td><td class="desc">External computation that cannot be splitted </td></tr>
-<tr id="row_2_4_5_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1Fuse.html" target="_self">Fuse</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1FuseNode.html" title="Fuse two domains into one domain. ">FuseNode</a> </td></tr>
-<tr id="row_2_4_6_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1FuseNode.html" target="_self">FuseNode</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Fuse.html" title="Managed reference to FuseNode. ">Fuse</a> two domains into one domain </td></tr>
-<tr id="row_2_4_7_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1HybridOp.html" target="_self">HybridOp</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1HybridOpNode.html" title="A computation operator that generated by hybrid script. ">HybridOpNode</a> </td></tr>
-<tr id="row_2_4_8_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1HybridOpNode.html" target="_self">HybridOpNode</a></td><td class="desc">A computation operator that generated by hybrid script </td></tr>
-<tr id="row_2_4_9_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1IterVarAttr.html" target="_self">IterVarAttr</a></td><td class="desc">Additional scheduable attributes about IterVar </td></tr>
-<tr id="row_2_4_10_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1IterVarAttrNode.html" target="_self">IterVarAttrNode</a></td><td class="desc">Node container for IterVar attr </td></tr>
-<tr id="row_2_4_11_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1IterVarRelation.html" target="_self">IterVarRelation</a></td><td class="desc">The schedule relation between IterVars can be <a class="el" href="classtvm_1_1te_1_1Split.html" title="Managed reference to SplitNode. ">Split</a>, <a class="el" href="classtvm_1_1te_1_1Fuse.html" titl [...]
-<tr id="row_2_4_12_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1IterVarRelationNode.html" target="_self">IterVarRelationNode</a></td><td class="desc">Base node of iteration var </td></tr>
-<tr id="row_2_4_13_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1Operation.html" target="_self">Operation</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Operation.html" title="Operation that produces tensors. ">Operation</a> that produces tensors </td></tr>
-<tr id="row_2_4_14_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1OperationNode.html" target="_self">OperationNode</a></td><td class="desc">Base class of all operation nodes </td></tr>
-<tr id="row_2_4_15_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1PlaceholderOp.html" target="_self">PlaceholderOp</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1PlaceholderOpNode.html" title="A placeholder op represents an input placeholder. ">PlaceholderOpNode</a> </td></tr>
-<tr id="row_2_4_16_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1PlaceholderOpNode.html" target="_self">PlaceholderOpNode</a></td><td class="desc">A placeholder op represents an input placeholder </td></tr>
-<tr id="row_2_4_17_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1Rebase.html" target="_self">Rebase</a></td><td class="desc">Managed reference to <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> </td></tr>
-<tr id="row_2_4_18_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1RebaseNode.html" target="_self">RebaseNode</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Rebase.html" title="Managed reference to RebaseNode. ">Rebase</a> the iteration to make min to be 0. This is useful to normalize the <a class="el" href="classtvm_1_1te_1_1Sc [...]
-<tr id="row_2_4_19_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1ScanOp.html" target="_self">ScanOp</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1ScanOpNode.html" title="Symbolic scan. ">ScanOpNode</a> </td></tr>
-<tr id="row_2_4_20_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1ScanOpNode.html" target="_self">ScanOpNode</a></td><td class="desc">Symbolic scan </td></tr>
-<tr id="row_2_4_21_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1Schedule.html" target="_self">Schedule</a></td><td class="desc">Global schedule container For operations and all the operations they depend on. The schedule per <a class="el" href="classtvm_1_1te_1_1Operation.html" title="Operation that produces tensors. ">Operation</a> is named [...]
-<tr id="row_2_4_22_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1ScheduleNode.html" target="_self">ScheduleNode</a></td><td class="desc">Node container for schedule </td></tr>
-<tr id="row_2_4_23_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1Singleton.html" target="_self">Singleton</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1SingletonNode.html" title="Singleton iterator [0, 1) ">SingletonNode</a> </td></tr>
-<tr id="row_2_4_24_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1SingletonNode.html" target="_self">SingletonNode</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Singleton.html" title="Managed reference to SingletonNode. ">Singleton</a> iterator [0, 1) </td></tr>
-<tr id="row_2_4_25_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1SpecializedCondition.html" target="_self">SpecializedCondition</a></td><td class="desc">Specialized condition to enable op specialization </td></tr>
-<tr id="row_2_4_26_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1SpecializedConditionNode.html" target="_self">SpecializedConditionNode</a></td><td class="desc">Container for specialization conditions </td></tr>
-<tr id="row_2_4_27_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1Split.html" target="_self">Split</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1SplitNode.html" title="Split the parent domain into product of outer and iter. ">SplitNode</a> </td></tr>
-<tr id="row_2_4_28_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1SplitNode.html" target="_self">SplitNode</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Split.html" title="Managed reference to SplitNode. ">Split</a> the parent domain into product of outer and iter </td></tr>
-<tr id="row_2_4_29_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1Stage.html" target="_self">Stage</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Stage.html" title="Stage, contains scheduling for a stage of computation. ">Stage</a>, contains scheduling for a stage of computation </td></tr>
-<tr id="row_2_4_30_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1StageNode.html" target="_self">StageNode</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Stage.html" title="Stage, contains scheduling for a stage of computation. ">Stage</a> </td></tr>
-<tr id="row_2_4_31_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_4_31_" class="arrow" onclick="toggleFolder('2_4_31_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1Tensor.html" target="_self">Tensor</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Tensor.html" title="Tensor structure representing a possible input, or intermediate computation [...]
-<tr id="row_2_4_31_0_" 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_1te_1_1Tensor_1_1Slice.html" target="_self">Slice</a></td><td class="desc">Data structure to represent a slice that fixes first k coordinates. This is used to enable syntax sugar of <a class="el" href="classtvm_1_1te_1_1Tensor.html" title="Tensor structure representing a possible inp [...]
-<tr id="row_2_4_32_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1TensorComputeOp.html" target="_self">TensorComputeOp</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1TensorComputeOpNode.html" title="A TenorCompute op that compute a tensor with an tensor intrinsic. ">TensorComputeOpNode</a> </td></tr>
-<tr id="row_2_4_33_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1TensorComputeOpNode.html" target="_self">TensorComputeOpNode</a></td><td class="desc">A TenorCompute op that compute a tensor with an tensor intrinsic </td></tr>
-<tr id="row_2_4_34_" style="display:none;"><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_1te_1_1TensorDom.html" target="_self">TensorDom</a></td><td class="desc">Temporary data structure to store union of bounds of each axis of <a class="el" href="classtvm_1_1te_1_1Tensor.html" title="Tensor structure representing a possible input, or intermediate computation result. ">Te [...]
-<tr id="row_2_4_35_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1TensorIntrin.html" target="_self">TensorIntrin</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1TensorIntrinNode.html" title="Node to represent a Tensor intrinsic operator. ">TensorIntrinNode</a> </td></tr>
-<tr id="row_2_4_36_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1TensorIntrinCall.html" target="_self">TensorIntrinCall</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1TensorIntrinCallNode.html">TensorIntrinCallNode</a> </td></tr>
-<tr id="row_2_4_37_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1TensorIntrinCallNode.html" target="_self">TensorIntrinCallNode</a></td><td class="desc"></td></tr>
-<tr id="row_2_4_38_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1TensorIntrinNode.html" target="_self">TensorIntrinNode</a></td><td class="desc">Node to represent a <a class="el" href="classtvm_1_1te_1_1Tensor.html" title="Tensor structure representing a possible input, or intermediate computation result. ">Tensor</a> intrinsic operator </td></tr>
-<tr id="row_2_4_39_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1TensorNode.html" target="_self">TensorNode</a></td><td class="desc">Node to represent a tensor </td></tr>
-<tr id="row_2_5_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_5_" class="arrow" onclick="toggleFolder('2_5_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1tir.html" target="_self">tir</a></td><td class="desc"></td></tr>
-<tr id="row_2_5_0_" style="display:none;"><td class="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_1Add.html" target="_self">Add</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1AddNode.html" title="a + b ">AddNode</a> </td></tr>
-<tr id="row_2_5_1_" style="display:none;"><td class="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_1AddNode.html" target="_self">AddNode</a></td><td class="desc"><ul>
+<tr id="row_2_1_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_1_" class="arrow" onclick="toggleFolder('2_1_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1auto__scheduler.html" target="_self">auto_scheduler</a></td><td class="desc"></td></tr>
+<tr id="row_2_1_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1AccessAnalyzer.html" target="_self">AccessAnalyzer</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1AccessAnalyzerNode.html" title="Static analysis result for a ComputeDAG. ">AccessAnalyzerNode</a> </td></tr>
+<tr id="row_2_1_1_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1AccessAnalyzerNode.html" target="_self">AccessAnalyzerNode</a></td><td class="desc">Static analysis result for a <a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeDAG.html" title="Managed reference to ComputeDAGNode. ">ComputeDAG</a> </td></tr>
+<tr id="row_2_1_2_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1AnnotationStep.html" target="_self">AnnotationStep</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1AnnotationStepNode.html" title="Annotation step that corresponds to vectorize, parallel, unroll and thread binding. (i. [...]
+<tr id="row_2_1_3_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1AnnotationStepNode.html" target="_self">AnnotationStepNode</a></td><td class="desc">Annotation step that corresponds to vectorize, parallel, unroll and thread binding. (i.e. <a class="el" href="classtvm_1_1te_1_1Stage.html#a44d33e3920106e75dc7c68272f880812" title="Ve [...]
+<tr id="row_2_1_4_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1AttachMap.html" target="_self">AttachMap</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1AttachMapNode.html" title="stores the compute_at relation between stages This stores a bi-directional mapping from stages and it. [...]
+<tr id="row_2_1_5_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_1_5_" class="arrow" onclick="toggleFolder('2_1_5_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1AttachMapNode.html" target="_self">AttachMapNode</a></td><td class="desc">Stores the compute_at relation between stages This stores a bi-directional mapping from stages and iter: </td></tr>
+<tr id="row_2_1_5_0_" 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="structtvm_1_1auto__scheduler_1_1AttachMapNode_1_1IterKeyHash.html" target="_self">IterKeyHash</a></td><td class="desc"></td></tr>
+<tr id="row_2_1_6_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1BuildResult.html" target="_self">BuildResult</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1BuildResultNode.html" title="Store the result of a build. ">BuildResultNode</a> </td></tr>
+<tr id="row_2_1_7_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1BuildResultNode.html" target="_self">BuildResultNode</a></td><td class="desc">Store the result of a build </td></tr>
+<tr id="row_2_1_8_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1CacheReadStep.html" target="_self">CacheReadStep</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1CacheReadStepNode.html" title="Cache read step that corresponds to te::Schedule::cache_read. ">CacheReadStepNode</a> </td></tr>
+<tr id="row_2_1_9_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1CacheReadStepNode.html" target="_self">CacheReadStepNode</a></td><td class="desc">Cache read step that corresponds to <a class="el" href="classtvm_1_1te_1_1Schedule.html#a38ef95a62faf0c15f132847efa20249b" title="create a cache read of original tensor for readers. Thi [...]
+<tr id="row_2_1_10_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1CacheWriteStep.html" target="_self">CacheWriteStep</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1CacheWriteStepNode.html" title="Cache write step that corresponds to te::Schedule::cache_write. ">CacheWriteStepNode</ [...]
+<tr id="row_2_1_11_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1CacheWriteStepNode.html" target="_self">CacheWriteStepNode</a></td><td class="desc">Cache write step that corresponds to <a class="el" href="classtvm_1_1te_1_1Schedule.html#ada9825f59ef130a0ab0b3a01ea348d71" title="Create a cache write tensor for producing tensor. T [...]
+<tr id="row_2_1_12_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeAtStep.html" target="_self">ComputeAtStep</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeAtStepNode.html" title="Compute at step that corresponds to te::Stage::compute_at. ">ComputeAtStepNode</a> </td></tr>
+<tr id="row_2_1_13_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeAtStepNode.html" target="_self">ComputeAtStepNode</a></td><td class="desc">Compute at step that corresponds to <a class="el" href="classtvm_1_1te_1_1Stage.html#a071545484de7a894c01ccf0e77183730" title="specify the schedule to be computed at the parent schedul [...]
+<tr id="row_2_1_14_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeDAG.html" target="_self">ComputeDAG</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeDAGNode.html" title="The TVM Auto-scheduler computational graph and related program analyses. ">ComputeDAGNode</a> </td></tr>
+<tr id="row_2_1_15_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeDAGNode.html" target="_self">ComputeDAGNode</a></td><td class="desc">The TVM Auto-scheduler computational graph and related program analyses </td></tr>
+<tr id="row_2_1_16_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeInlineStep.html" target="_self">ComputeInlineStep</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeInlineStepNode.html" title="Compute inline step that corresponds to te::Stage::compute_inline. ">ComputeI [...]
+<tr id="row_2_1_17_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeInlineStepNode.html" target="_self">ComputeInlineStepNode</a></td><td class="desc">Compute inline step that corresponds to <a class="el" href="classtvm_1_1te_1_1Stage.html#a1c58b35e37561739440b322c29d30c3b" title="Compute the function inline. ">te::Stage::com [...]
+<tr id="row_2_1_18_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeRootStep.html" target="_self">ComputeRootStep</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeRootStepNode.html" title="Compute root step that corresponds to te::Stage::compute_root. ">ComputeRootStepNod [...]
+<tr id="row_2_1_19_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeRootStepNode.html" target="_self">ComputeRootStepNode</a></td><td class="desc">Compute root step that corresponds to <a class="el" href="classtvm_1_1te_1_1Stage.html#a95b58b2d2ec034ecd0bdb99f95c0b0ba" title="Compute the function at group root. ">te::Stage::co [...]
+<tr id="row_2_1_20_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1FollowFusedSplitStep.html" target="_self">FollowFusedSplitStep</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1FollowFusedSplitStepNode.html" title="Similar to FollowSplitStep, but uses split factors from multiple ste [...]
+<tr id="row_2_1_21_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1FollowFusedSplitStepNode.html" target="_self">FollowFusedSplitStepNode</a></td><td class="desc">Similar to <a class="el" href="classtvm_1_1auto__scheduler_1_1FollowSplitStep.html" title="Managed reference to FollowSplitStepNode. ">FollowSplitStep</a>, but uses split [...]
+<tr id="row_2_1_22_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1FollowSplitStep.html" target="_self">FollowSplitStep</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1FollowSplitStepNode.html" title="Similar to SplitStepNode, but uses split factors from another step (i.e. Follow ano [...]
+<tr id="row_2_1_23_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1FollowSplitStepNode.html" target="_self">FollowSplitStepNode</a></td><td class="desc">Similar to <a class="el" href="classtvm_1_1auto__scheduler_1_1SplitStepNode.html" title="Split step that corresponds to te::Stage::split with additional support of multiple-level o [...]
+<tr id="row_2_1_24_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1FuseStep.html" target="_self">FuseStep</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1FuseStepNode.html" title="Fuse step that corresponds to te::Stage::fuse. ">FuseStepNode</a> </td></tr>
+<tr id="row_2_1_25_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1FuseStepNode.html" target="_self">FuseStepNode</a></td><td class="desc">Fuse step that corresponds to <a class="el" href="classtvm_1_1te_1_1Stage.html#a5658065d9cbbee620bbd107d30c4ae72" title="Fuse the inner outer domain to the target. ">te::Stage::fuse</a> </td></tr>
+<tr id="row_2_1_26_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1HardwareParams.html" target="_self">HardwareParams</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1HardwareParamsNode.html" title="The parameters of target hardware used to guide the SearchPolicy. ">HardwareParamsNode [...]
+<tr id="row_2_1_27_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1HardwareParamsNode.html" target="_self">HardwareParamsNode</a></td><td class="desc">The parameters of target hardware used to guide the <a class="el" href="classtvm_1_1auto__scheduler_1_1SearchPolicy.html" title="Managed reference to SearchPolicyNode. ">SearchPolicy [...]
+<tr id="row_2_1_28_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1Iterator.html" target="_self">Iterator</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1IteratorNode.html" title="A for loop iterator Similar to tvm::IterVar in include/tvm/tir/expr.h ">IteratorNode</a> </td></tr>
+<tr id="row_2_1_29_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1IteratorNode.html" target="_self">IteratorNode</a></td><td class="desc">A for loop iterator Similar to tvm::IterVar in <code><a class="el" href="tir_2expr_8h.html" title="TIR expressions. ">include/tvm/tir/expr.h</a></code> </td></tr>
+<tr id="row_2_1_30_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1LocalBuilder.html" target="_self">LocalBuilder</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1LocalBuilderNode.html" title="LocalBuilder use local CPU cores to build programs in parallel. ">LocalBuilderNode</a> </td></tr>
+<tr id="row_2_1_31_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1LocalBuilderNode.html" target="_self">LocalBuilderNode</a></td><td class="desc"><a class="el" href="classtvm_1_1auto__scheduler_1_1LocalBuilder.html" title="Managed reference to LocalBuilderNode. ">LocalBuilder</a> use local CPU cores to build programs in parallel < [...]
+<tr id="row_2_1_32_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1LocalRunner.html" target="_self">LocalRunner</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1LocalRunnerNode.html" title="LocalRunner that uses local CPU/GPU to measure the time cost of programs. ">LocalRunnerNode</a> [...]
+<tr id="row_2_1_33_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1LocalRunnerNode.html" target="_self">LocalRunnerNode</a></td><td class="desc"><a class="el" href="classtvm_1_1auto__scheduler_1_1LocalRunner.html" title="Managed reference to LocalRunnerNode. ">LocalRunner</a> that uses local CPU/GPU to measure the time cost of prog [...]
+<tr id="row_2_1_34_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureCallback.html" target="_self">MeasureCallback</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureCallbackNode.html" title="Bass class of measurement callbacks. ">MeasureCallbackNode</a> </td></tr>
+<tr id="row_2_1_35_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureCallbackNode.html" target="_self">MeasureCallbackNode</a></td><td class="desc">Bass class of measurement callbacks </td></tr>
+<tr id="row_2_1_36_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureInput.html" target="_self">MeasureInput</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureInputNode.html" title="Store the input of a measurement. ">MeasureInputNode</a> </td></tr>
+<tr id="row_2_1_37_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureInputNode.html" target="_self">MeasureInputNode</a></td><td class="desc">Store the input of a measurement </td></tr>
+<tr id="row_2_1_38_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureResult.html" target="_self">MeasureResult</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureResultNode.html" title="Store the results of a measurement. ">MeasureResultNode</a> </td></tr>
+<tr id="row_2_1_39_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1MeasureResultNode.html" target="_self">MeasureResultNode</a></td><td class="desc">Store the results of a measurement </td></tr>
+<tr id="row_2_1_40_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1ProgramBuilder.html" target="_self">ProgramBuilder</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1ProgramBuilderNode.html" title="ProgramBuilder that builds the programs. ">ProgramBuilderNode</a> </td></tr>
+<tr id="row_2_1_41_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1ProgramBuilderNode.html" target="_self">ProgramBuilderNode</a></td><td class="desc"><a class="el" href="classtvm_1_1auto__scheduler_1_1ProgramBuilder.html" title="Managed reference to ProgramBuilderNode. ">ProgramBuilder</a> that builds the programs </td></tr>
+<tr id="row_2_1_42_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1ProgramMeasurer.html" target="_self">ProgramMeasurer</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1ProgramMeasurerNode.html" title="Measurer that measures the time costs of tvm programs This class combines ProgramBu [...]
+<tr id="row_2_1_43_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1ProgramMeasurerNode.html" target="_self">ProgramMeasurerNode</a></td><td class="desc">Measurer that measures the time costs of tvm programs This class combines <a class="el" href="classtvm_1_1auto__scheduler_1_1ProgramBuilder.html" title="Managed reference to Progra [...]
+<tr id="row_2_1_44_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1ProgramRunner.html" target="_self">ProgramRunner</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1ProgramRunnerNode.html" title="ProgramRunner that runs the built programs and measure the time cost. ">ProgramRunnerNode [...]
+<tr id="row_2_1_45_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1ProgramRunnerNode.html" target="_self">ProgramRunnerNode</a></td><td class="desc"><a class="el" href="classtvm_1_1auto__scheduler_1_1ProgramRunner.html" title="Managed reference to ProgramRunnerNode. ">ProgramRunner</a> that runs the built programs and measure the t [...]
+<tr id="row_2_1_46_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1RecordReader.html" target="_self">RecordReader</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1RecordReaderNode.html" title="Log reader to load step logs from a file. ">RecordReaderNode</a> </td></tr>
+<tr id="row_2_1_47_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1RecordReaderNode.html" target="_self">RecordReaderNode</a></td><td class="desc">Log reader to load step logs from a file </td></tr>
+<tr id="row_2_1_48_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1RecordToFile.html" target="_self">RecordToFile</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1RecordToFileNode.html" title="Callback for logging the input and results of measurements to file. ">RecordToFileNode</a> < [...]
+<tr id="row_2_1_49_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1RecordToFileNode.html" target="_self">RecordToFileNode</a></td><td class="desc">Callback for logging the input and results of measurements to file </td></tr>
+<tr id="row_2_1_50_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1ReorderStep.html" target="_self">ReorderStep</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1ReorderStepNode.html" title="Reorder step that corresponds to te::Stage::reorder. ">ReorderStepNode</a> </td></tr>
+<tr id="row_2_1_51_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1ReorderStepNode.html" target="_self">ReorderStepNode</a></td><td class="desc">Reorder step that corresponds to <a class="el" href="classtvm_1_1te_1_1Stage.html#ad96cd240a92df9cafae89cdf2a7e302e" title="Reorder the iteration. ">te::Stage::reorder</a> </td></tr>
+<tr id="row_2_1_52_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1RPCRunner.html" target="_self">RPCRunner</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1RPCRunnerNode.html" title="RPCRunner that uses RPC call to measures the time cost of programs on remote devices. Or sometime we [...]
+<tr id="row_2_1_53_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1RPCRunnerNode.html" target="_self">RPCRunnerNode</a></td><td class="desc"><a class="el" href="classtvm_1_1auto__scheduler_1_1RPCRunner.html" title="Managed reference to RPCRunnerNode. ">RPCRunner</a> that uses RPC call to measures the time cost of programs on remote [...]
+<tr id="row_2_1_54_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1SearchCallback.html" target="_self">SearchCallback</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1SearchCallbackNode.html" title="Callback function to be called by the search process. This interface allows to do extr [...]
+<tr id="row_2_1_55_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1SearchCallbackNode.html" target="_self">SearchCallbackNode</a></td><td class="desc">Callback function to be called by the search process. This interface allows to do extra initializations before schedule search or extra check during/after the schedule search </td></tr>
+<tr id="row_2_1_56_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1SearchPolicy.html" target="_self">SearchPolicy</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1SearchPolicyNode.html" title="The base class of search policies. ">SearchPolicyNode</a> </td></tr>
+<tr id="row_2_1_57_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1SearchPolicyNode.html" target="_self">SearchPolicyNode</a></td><td class="desc">The base class of search policies </td></tr>
+<tr id="row_2_1_58_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1SearchTask.html" target="_self">SearchTask</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1SearchTaskNode.html" title="The computation information and hardware parameters for a specific schedule search task...">Search [...]
+<tr id="row_2_1_59_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1SearchTaskNode.html" target="_self">SearchTaskNode</a></td><td class="desc">The computation information and hardware parameters for a specific schedule search task </td></tr>
+<tr id="row_2_1_60_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1SplitStep.html" target="_self">SplitStep</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1SplitStepNode.html" title="Split step that corresponds to te::Stage::split with additional support of multiple-level of factors. [...]
+<tr id="row_2_1_61_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1SplitStepNode.html" target="_self">SplitStepNode</a></td><td class="desc">Split step that corresponds to <a class="el" href="classtvm_1_1te_1_1Stage.html#a5a7cd562be59b68a187ad97085a3425d" title="Split the parent by factor, generate. ">te::Stage::split</a> with addi [...]
+<tr id="row_2_1_62_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1Stage.html" target="_self">Stage</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1StageNode.html" title="A op stage in the compute declaration. Similar to te::Stage in include/tvm/te/schedule.h. ">StageNode</a> </td></tr>
+<tr id="row_2_1_63_" style="display:none;"><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_1auto__scheduler_1_1StageAttributes.html" target="_self">StageAttributes</a></td><td class="desc">Stage-level attributes </td></tr>
+<tr id="row_2_1_64_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1StageNode.html" target="_self">StageNode</a></td><td class="desc">A op stage in the compute declaration. Similar to <a class="el" href="classtvm_1_1te_1_1Stage.html" title="Stage, contains scheduling for a stage of computation. ">te::Stage</a> in <code><a class="el" [...]
+<tr id="row_2_1_65_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1State.html" target="_self">State</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1StateNode.html" title="A state in the search process. It consists of the current loop structure and a list of transformation...">StateNo [...]
+<tr id="row_2_1_66_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1StateNode.html" target="_self">StateNode</a></td><td class="desc">A state in the search process. It consists of the current loop structure and a list of transformation steps used to construct it. Each <a class="el" href="classtvm_1_1auto__scheduler_1_1State.html" ti [...]
+<tr id="row_2_1_67_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1Step.html" target="_self">Step</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1StepNode.html" title="The base class of transformation steps. Each step has its corresponding tvm.te schedule primitives...">StepNode</a> [...]
+<tr id="row_2_1_68_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1StepNode.html" target="_self">StepNode</a></td><td class="desc">The base class of transformation steps. Each step has its corresponding <a class="el" href="namespacetvm_1_1te.html" title="Tensor expression language DSL. ">tvm.te</a> schedule primitives </td></tr>
+<tr id="row_2_1_69_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1TuningOptions.html" target="_self">TuningOptions</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1auto__scheduler_1_1TuningOptionsNode.html" title="Tuning and measurement options. ">TuningOptionsNode</a> </td></tr>
+<tr id="row_2_1_70_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1auto__scheduler_1_1TuningOptionsNode.html" target="_self">TuningOptionsNode</a></td><td class="desc">Tuning and measurement options </td></tr>
+<tr id="row_2_2_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_2_" class="arrow" onclick="toggleFolder('2_2_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1detail.html" target="_self">detail</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1detail_1_1AttrDocEntry.html" target="_self">AttrDocEntry</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_1_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1detail_1_1AttrDocVisitor.html" target="_self">AttrDocVisitor</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_2_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1detail_1_1AttrExistVisitor.html" target="_self">AttrExistVisitor</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_3_" style="display:none;"><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_1detail_1_1AttrInitEntry.html" target="_self">AttrInitEntry</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_4_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1detail_1_1AttrInitVisitor.html" target="_self">AttrInitVisitor</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_5_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1detail_1_1AttrNonDefaultVisitor.html" target="_self">AttrNonDefaultVisitor</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_6_" style="display:none;"><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_1detail_1_1AttrNopEntry.html" target="_self">AttrNopEntry</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_7_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1detail_1_1AttrNormalVisitor.html" target="_self">AttrNormalVisitor</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_8_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1detail_1_1AttrsSEqualVisitor.html" target="_self">AttrsSEqualVisitor</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_9_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1detail_1_1AttrsSHashVisitor.html" target="_self">AttrsSHashVisitor</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_10_" style="display:none;"><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_1detail_1_1AttrTriggerNonDefaultEntry.html" target="_self">AttrTriggerNonDefaultEntry</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_11_" style="display:none;"><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_1detail_1_1ImplSEqualReduce.html" target="_self">ImplSEqualReduce</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_12_" style="display:none;"><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_1detail_1_1ImplSEqualReduce_3_01T_00_01true_01_4.html" target="_self">ImplSEqualReduce< T, true ></a></td><td class="desc"></td></tr>
+<tr id="row_2_2_13_" style="display:none;"><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_1detail_1_1ImplSHashReduce.html" target="_self">ImplSHashReduce</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_14_" style="display:none;"><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_1detail_1_1ImplSHashReduce_3_01T_00_01true_01_4.html" target="_self">ImplSHashReduce< T, true ></a></td><td class="desc"></td></tr>
+<tr id="row_2_2_15_" style="display:none;"><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_1detail_1_1ImplVisitAttrs.html" target="_self">ImplVisitAttrs</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_16_" style="display:none;"><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_1detail_1_1ImplVisitAttrs_3_01T_00_01true_01_4.html" target="_self">ImplVisitAttrs< T, true ></a></td><td class="desc"></td></tr>
+<tr id="row_2_2_17_" style="display:none;"><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_1detail_1_1is__specialized.html" target="_self">is_specialized</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_18_" style="display:none;"><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_1detail_1_1is__specialized_3_01Container_3_01Args_8_8_8_01_4_00_01Container_01_4.html" target="_self">is_specialized< Container< Args... >, Container ></a></td><td class="desc"></td></tr>
+<tr id="row_2_2_19_" style="display:none;"><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_1detail_1_1ReflectionTrait.html" target="_self">ReflectionTrait</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_20_" style="display:none;"><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_1detail_1_1SelectSEqualReduce.html" target="_self">SelectSEqualReduce</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_21_" style="display:none;"><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_1detail_1_1SelectSEqualReduce_3_01T_00_01TraitName_00_01false_01_4.html" target="_self">SelectSEqualReduce< T, TraitName, false ></a></td><td class="desc"></td></tr>
+<tr id="row_2_2_22_" style="display:none;"><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_1detail_1_1SelectSHashReduce.html" target="_self">SelectSHashReduce</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_23_" style="display:none;"><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_1detail_1_1SelectSHashReduce_3_01T_00_01TraitName_00_01false_01_4.html" target="_self">SelectSHashReduce< T, TraitName, false ></a></td><td class="desc"></td></tr>
+<tr id="row_2_2_24_" style="display:none;"><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_1detail_1_1SelectVisitAttrs.html" target="_self">SelectVisitAttrs</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_25_" style="display:none;"><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_1detail_1_1SelectVisitAttrs_3_01T_00_01TraitName_00_01false_01_4.html" target="_self">SelectVisitAttrs< T, TraitName, false ></a></td><td class="desc"></td></tr>
+<tr id="row_2_2_26_" style="display:none;"><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_1detail_1_1TypeName.html" target="_self">TypeName</a></td><td class="desc">Helper struct to get the type name known to tvm </td></tr>
+<tr id="row_2_2_27_" style="display:none;"><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_1detail_1_1TypeName_3_01bool_01_4.html" target="_self">TypeName< bool ></a></td><td class="desc"></td></tr>
+<tr id="row_2_2_28_" style="display:none;"><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_1detail_1_1TypeName_3_01DataType_01_4.html" target="_self">TypeName< DataType ></a></td><td class="desc"></td></tr>
+<tr id="row_2_2_29_" style="display:none;"><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_1detail_1_1TypeName_3_01double_01_4.html" target="_self">TypeName< double ></a></td><td class="desc"></td></tr>
+<tr id="row_2_2_30_" style="display:none;"><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_1detail_1_1TypeName_3_01int_01_4.html" target="_self">TypeName< int ></a></td><td class="desc"></td></tr>
+<tr id="row_2_2_31_" style="display:none;"><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_1detail_1_1TypeName_3_01int64__t_01_4.html" target="_self">TypeName< int64_t ></a></td><td class="desc"></td></tr>
+<tr id="row_2_2_32_" style="display:none;"><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_1detail_1_1TypeName_3_01uint64__t_01_4.html" target="_self">TypeName< uint64_t ></a></td><td class="desc"></td></tr>
+<tr id="row_2_2_33_" style="display:none;"><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_1detail_1_1TypeName_3_01void_01_5_01_4.html" target="_self">TypeName< void * ></a></td><td class="desc"></td></tr>
+<tr id="row_2_2_34_" style="display:none;"><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_1detail_1_1ValueTypeInfoMaker.html" target="_self">ValueTypeInfoMaker</a></td><td class="desc"></td></tr>
+<tr id="row_2_3_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_3_" class="arrow" onclick="toggleFolder('2_3_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1relay.html" target="_self">relay</a></td><td class="desc">Relay: a high level functional IR for TVM </td></tr>
+<tr id="row_2_3_0_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_3_0_" class="arrow" onclick="toggleFolder('2_3_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1relay_1_1qnn.html" target="_self">qnn</a></td><td class="desc"></td></tr>
+<tr id="row_2_3_0_0_" 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="structtvm_1_1relay_1_1qnn_1_1DequantizeAttrs.html" target="_self">DequantizeAttrs</a></td><td class="desc">Attribute for dequantize operator </td></tr>
+<tr id="row_2_3_0_1_" 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="structtvm_1_1relay_1_1qnn_1_1QuantizeAttrs.html" target="_self">QuantizeAttrs</a></td><td class="desc">Attribute for quantize operator </td></tr>
+<tr id="row_2_3_0_2_" 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="structtvm_1_1relay_1_1qnn_1_1RequantizeAttrs.html" target="_self">RequantizeAttrs</a></td><td class="desc">Attribute for requantize operator </td></tr>
+<tr id="row_2_3_1_" style="display:none;"><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_1AdaptivePool2DAttrs.html" target="_self">AdaptivePool2DAttrs</a></td><td class="desc">Attributes for adaptive pool operator </td></tr>
+<tr id="row_2_3_2_" style="display:none;"><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_1AdaptivePool3DAttrs.html" target="_self">AdaptivePool3DAttrs</a></td><td class="desc"></td></tr>
+<tr id="row_2_3_3_" style="display:none;"><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_1AffineGridAttrs.html" target="_self">AffineGridAttrs</a></td><td class="desc">Attributes used in image affine_grid operator </td></tr>
+<tr id="row_2_3_4_" style="display:none;"><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_1AllocStorageAttrs.html" target="_self">AllocStorageAttrs</a></td><td class="desc">Options for allocating storage </td></tr>
+<tr id="row_2_3_5_" style="display:none;"><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_1AllocTensorAttrs.html" target="_self">AllocTensorAttrs</a></td><td class="desc">Options for allocating tensors </td></tr>
+<tr id="row_2_3_6_" style="display:none;"><td class="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_1AltPattern.html" target="_self">AltPattern</a></td><td class="desc">A pattern which matches either of two patterns </td></tr>
+<tr id="row_2_3_7_" style="display:none;"><td class="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_1AltPatternNode.html" target="_self">AltPatternNode</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 Alternate Expressions </td></tr>
+<tr id="row_2_3_8_" style="display:none;"><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_1ArangeAttrs.html" target="_self">ArangeAttrs</a></td><td class="desc">Attributes used in arange operators </td></tr>
+<tr id="row_2_3_9_" style="display:none;"><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_2_3_10_" style="display:none;"><td class="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_2_3_11_" style="display:none;"><td class="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_2_3_12_" style="display:none;"><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_2_3_13_" style="display:none;"><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_2_3_14_" style="display:none;"><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_2_3_15_" style="display:none;"><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_2_3_16_" style="display:none;"><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_2_3_17_" style="display:none;"><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_2_3_18_" style="display:none;"><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_2_3_19_" style="display:none;"><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_2_3_20_" style="display:none;"><td class="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_2_3_21_" style="display:none;"><td class="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_2_3_22_" style="display:none;"><td class="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_2_3_23_" style="display:none;"><td class="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_2_3_24_" style="display:none;"><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_2_3_25_" style="display:none;"><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_2_3_26_" style="display:none;"><td class="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_2_3_27_" style="display:none;"><td class="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_2_3_28_" style="display:none;"><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_2_3_29_" style="display:none;"><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_2_3_30_" style="display:none;"><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_2_3_31_" style="display:none;"><td class="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_2_3_32_" style="display:none;"><td class="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_2_3_33_" style="display:none;"><td class="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_2_3_34_" style="display:none;"><td class="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_2_3_35_" style="display:none;"><td class="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_2_3_36_" style="display:none;"><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_2_3_37_" style="display:none;"><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_2_3_38_" style="display:none;"><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_2_3_39_" style="display:none;"><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_2_3_40_" style="display:none;"><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_2_3_41_" style="display:none;"><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_2_3_42_" style="display:none;"><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_2_3_43_" style="display:none;"><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_2_3_44_" style="display:none;"><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_2_3_45_" style="display:none;"><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_2_3_46_" style="display:none;"><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_2_3_47_" style="display:none;"><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_2_3_48_" style="display:none;"><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_2_3_49_" style="display:none;"><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_2_3_50_" style="display:none;"><td class="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_2_3_51_" style="display:none;"><td class="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_2_3_52_" style="display:none;"><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_2_3_53_" style="display:none;"><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_2_3_54_" style="display:none;"><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_2_3_55_" style="display:none;"><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_2_3_56_" style="display:none;"><td class="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_2_3_57_" style="display:none;"><td class="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_2_3_58_" style="display:none;"><td class="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_2_3_59_" style="display:none;"><td class="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 </td></tr>
+<tr id="row_2_3_60_" style="display:none;"><td class="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_2_3_61_" style="display:none;"><td class="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_2_3_62_" style="display:none;"><td class="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. ">DFPatternFunctor</a [...]
+<tr id="row_2_3_63_" style="display:none;"><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_2_3_64_" style="display:none;"><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_2_3_65_" style="display:none;"><td class="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_2_3_66_" style="display:none;"><td class="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="classtvm_1_1rela [...]
+<tr id="row_2_3_67_" style="display:none;"><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_2_3_68_" style="display:none;"><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_2_3_69_" style="display:none;"><td class="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="classtvm_1_1rel [...]
+<tr id="row_2_3_70_" style="display:none;"><td class="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_2_3_71_" style="display:none;"><td class="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...">ExprFunctor</a> w [...]
+<tr id="row_2_3_72_" style="display:none;"><td class="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_2_3_73_" style="display:none;"><td class="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_2_3_74_" style="display:none;"><td class="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_2_3_75_" style="display:none;"><td class="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 powerfu...">Ex [...]
+<tr id="row_2_3_76_" style="display:none;"><td class="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_2_3_77_" style="display:none;"><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_2_3_78_" style="display:none;"><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_2_3_79_" style="display:none;"><td class="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_2_3_80_" style="display:none;"><td class="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_2_3_81_" style="display:none;"><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_2_3_82_" style="display:none;"><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_2_3_83_" style="display:none;"><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_2_3_84_" style="display:none;"><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_2_3_85_" style="display:none;"><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_2_3_86_" style="display:none;"><td class="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_2_3_87_" style="display:none;"><td class="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_2_3_88_" style="display:none;"><td class="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_2_3_89_" style="display:none;"><td class="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_2_3_90_" style="display:none;"><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_2_3_91_" style="display:none;"><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_2_3_92_" style="display:none;"><td class="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_2_3_93_" style="display:none;"><td class="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_2_3_94_" style="display:none;"><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_2_3_95_" style="display:none;"><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_2_3_96_" style="display:none;"><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_2_3_97_" style="display:none;"><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_2_3_98_" style="display:none;"><td class="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_2_3_99_" style="display:none;"><td class="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_2_3_100_" style="display:none;"><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_2_3_101_" style="display:none;"><td class="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_2_3_102_" style="display:none;"><td class="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_2_3_103_" style="display:none;"><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_2_3_104_" style="display:none;"><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_2_3_105_" style="display:none;"><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_2_3_106_" style="display:none;"><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_2_3_107_" style="display:none;"><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_2_3_108_" style="display:none;"><td class="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_2_3_109_" style="display:none;"><td class="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 traverses th [...]
+<tr id="row_2_3_110_" style="display:none;"><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_2_3_111_" style="display:none;"><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_2_3_112_" style="display:none;"><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_2_3_113_" style="display:none;"><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_2_3_114_" style="display:none;"><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_2_3_115_" style="display:none;"><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_2_3_116_" style="display:none;"><td class="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_2_3_117_" style="display:none;"><td class="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_2_3_118_" style="display:none;"><td class="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_2_3_119_" style="display:none;"><td class="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_2_3_120_" style="display:none;"><td class="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_2_3_121_" style="display:none;"><td class="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_2_3_122_" style="display:none;"><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_2_3_123_" style="display:none;"><td class="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_2_3_124_" style="display:none;"><td class="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_2_3_125_" style="display:none;"><td class="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_2_3_126_" style="display:none;"><td class="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 VisitPattern </ [...]
+<tr id="row_2_3_127_" style="display:none;"><td class="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_2_3_128_" style="display:none;"><td class="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...">ExprFuncto [...]
+<tr id="row_2_3_129_" style="display:none;"><td class="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_2_3_130_" style="display:none;"><td class="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_2_3_131_" style="display:none;"><td class="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_2_3_132_" style="display:none;"><td class="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_2_3_133_" style="display:none;"><td class="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_2_3_134_" style="display:none;"><td class="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 use this as a m [...]
+<tr id="row_2_3_135_" style="display:none;"><td class="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_2_3_136_" style="display:none;"><td class="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_2_3_137_" style="display:none;"><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_2_3_138_" style="display:none;"><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_2_3_139_" style="display:none;"><td class="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_2_3_140_" style="display:none;"><td class="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_2_3_141_" style="display:none;"><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_2_3_142_" style="display:none;"><td class="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_2_3_143_" style="display:none;"><td class="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_2_3_144_" style="display:none;"><td class="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_2_3_145_" style="display:none;"><td class="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_2_3_146_" style="display:none;"><td class="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_2_3_147_" style="display:none;"><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_2_3_148_" style="display:none;"><td class="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_2_3_149_" style="display:none;"><td class="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_2_3_150_" style="display:none;"><td class="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_2_3_151_" style="display:none;"><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_2_3_152_" style="display:none;"><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_2_3_153_" style="display:none;"><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_2_3_154_" style="display:none;"><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_2_3_155_" style="display:none;"><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_2_3_156_" style="display:none;"><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_2_3_157_" style="display:none;"><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_2_3_158_" style="display:none;"><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_2_3_159_" style="display:none;"><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_2_3_160_" style="display:none;"><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_2_3_161_" style="display:none;"><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_2_3_162_" style="display:none;"><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_2_3_163_" style="display:none;"><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_2_3_164_" style="display:none;"><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_2_3_165_" style="display:none;"><td class="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_2_3_166_" style="display:none;"><td class="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_2_3_167_" style="display:none;"><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_2_3_168_" style="display:none;"><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_2_3_169_" style="display:none;"><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_2_3_170_" style="display:none;"><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_2_3_171_" style="display:none;"><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_2_3_172_" style="display:none;"><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_2_3_173_" style="display:none;"><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_2_3_174_" style="display:none;"><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_2_3_175_" style="display:none;"><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_2_3_176_" style="display:none;"><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_2_3_177_" style="display:none;"><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_2_3_178_" style="display:none;"><td class="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_2_3_179_" style="display:none;"><td class="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_2_3_180_" style="display:none;"><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_2_3_181_" style="display:none;"><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_2_3_182_" style="display:none;"><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_2_3_183_" style="display:none;"><td class="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_2_3_184_" style="display:none;"><td class="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_2_3_185_" style="display:none;"><td class="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_2_3_186_" style="display:none;"><td class="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_2_3_187_" style="display:none;"><td class="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_2_3_188_" style="display:none;"><td class="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_2_3_189_" style="display:none;"><td class="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_2_3_190_" style="display:none;"><td class="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_2_3_191_" style="display:none;"><td class="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_2_3_192_" style="display:none;"><td class="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_2_3_193_" style="display:none;"><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_2_3_194_" style="display:none;"><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_2_3_195_" style="display:none;"><td class="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_2_3_196_" style="display:none;"><td class="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_2_3_197_" style="display:none;"><td class="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_2_3_198_" style="display:none;"><td class="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_2_3_199_" style="display:none;"><td class="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_2_3_200_" style="display:none;"><td class="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_2_3_201_" style="display:none;"><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_2_4_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_4_" class="arrow" onclick="toggleFolder('2_4_')">►</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_2_4_0_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_4_0_" class="arrow" onclick="toggleFolder('2_4_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1runtime_1_1threading.html" target="_self">threading</a></td><td class="desc"></td></tr>
+<tr id="row_2_4_0_0_" 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_1threading_1_1ThreadGroup.html" target="_self">ThreadGroup</a></td><td class="desc">A platform-agnostic abstraction for managing a collection of thread pool threads </td></tr>
+<tr id="row_2_4_1_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_4_1_" class="arrow" onclick="toggleFolder('2_4_1_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1runtime_1_1vm.html" target="_self">vm</a></td><td class="desc"></td></tr>
+<tr id="row_2_4_1_0_" 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_1vm_1_1Allocator.html" target="_self">Allocator</a></td><td class="desc"></td></tr>
+<tr id="row_2_4_1_1_" 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="structtvm_1_1runtime_1_1vm_1_1Buffer.html" target="_self">Buffer</a></td><td class="desc"></td></tr>
+<tr id="row_2_4_1_2_" 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_1vm_1_1Executable.html" target="_self">Executable</a></td><td class="desc">The executable emitted by the VM compiler </td></tr>
+<tr id="row_2_4_1_3_" 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="structtvm_1_1runtime_1_1vm_1_1Instruction.html" target="_self">Instruction</a></td><td class="desc">A single virtual machine instruction </td></tr>
+<tr id="row_2_4_1_4_" 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_1vm_1_1MemoryManager.html" target="_self">MemoryManager</a></td><td class="desc"></td></tr>
+<tr id="row_2_4_1_5_" 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_1vm_1_1Storage.html" target="_self">Storage</a></td><td class="desc">Reference to storage </td></tr>
+<tr id="row_2_4_1_6_" 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_1vm_1_1StorageObj.html" target="_self">StorageObj</a></td><td class="desc">An object representing a storage allocation </td></tr>
+<tr id="row_2_4_1_7_" 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_1vm_1_1VirtualMachine.html" target="_self">VirtualMachine</a></td><td class="desc">The virtual machine </td></tr>
+<tr id="row_2_4_1_8_" 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_1vm_1_1VMClosure.html" target="_self">VMClosure</a></td><td class="desc">Reference to closure </td></tr>
+<tr id="row_2_4_1_9_" 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_1vm_1_1VMClosureObj.html" target="_self">VMClosureObj</a></td><td class="desc">An object representing a vm closure </td></tr>
+<tr id="row_2_4_1_10_" 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="structtvm_1_1runtime_1_1vm_1_1VMFrame.html" target="_self">VMFrame</a></td><td class="desc">A representation of a stack frame </td></tr>
+<tr id="row_2_4_1_11_" 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="structtvm_1_1runtime_1_1vm_1_1VMFunction.html" target="_self">VMFunction</a></td><td class="desc">A representation of a Relay function in the VM </td></tr>
+<tr id="row_2_4_2_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1ADT.html" target="_self">ADT</a></td><td class="desc">Reference to algebraic data type objects </td></tr>
+<tr id="row_2_4_3_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1ADTObj.html" target="_self">ADTObj</a></td><td class="desc">An object representing a structure or enumeration </td></tr>
+<tr id="row_2_4_4_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_4_4_" class="arrow" onclick="toggleFolder('2_4_4_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1Array.html" target="_self">Array</a></td><td class="desc"><a class="el" href="classtvm_1_1runtime_1_1Array.html" title="Array, container representing a contigious sequence of ObjectRefs. ">Arr [...]
+<tr id="row_2_4_4_0_" 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="structtvm_1_1runtime_1_1Array_1_1ValueConverter.html" target="_self">ValueConverter</a></td><td class="desc"></td></tr>
+<tr id="row_2_4_5_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1ArrayNode.html" target="_self">ArrayNode</a></td><td class="desc"><a class="el" href="classtvm_1_1runtime_1_1Array.html" title="Array, container representing a contigious sequence of ObjectRefs. ">Array</a> node content in array </td></tr>
+<tr id="row_2_4_6_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1Closure.html" target="_self">Closure</a></td><td class="desc">Reference to closure </td></tr>
+<tr id="row_2_4_7_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1ClosureObj.html" target="_self">ClosureObj</a></td><td class="desc">An object representing a closure. This object is used by both the Relay VM and interpreter </td></tr>
+<tr id="row_2_4_8_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1DataType.html" target="_self">DataType</a></td><td class="desc">Runtime primitive data type </td></tr>
+<tr id="row_2_4_9_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1DeviceAPI.html" target="_self">DeviceAPI</a></td><td class="desc">TVM Runtime Device API, abstracts the device specific interface for memory management </td></tr>
+<tr id="row_2_4_10_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1InplaceArrayBase.html" target="_self">InplaceArrayBase</a></td><td class="desc">Base template for classes with array like memory layout </td></tr>
+<tr id="row_2_4_11_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1IterAdapter.html" target="_self">IterAdapter</a></td><td class="desc">Iterator adapter that adapts TIter to return another type </td></tr>
+<tr id="row_2_4_12_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1Module.html" target="_self">Module</a></td><td class="desc"><a class="el" href="classtvm_1_1runtime_1_1Module.html" title="Module container of TVM. ">Module</a> container of TVM </td></tr>
+<tr id="row_2_4_13_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1ModuleNode.html" target="_self">ModuleNode</a></td><td class="desc">Base container of module </td></tr>
+<tr id="row_2_4_14_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_4_14_" class="arrow" onclick="toggleFolder('2_4_14_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1NDArray.html" target="_self">NDArray</a></td><td class="desc">Managed <a class="el" href="classtvm_1_1runtime_1_1NDArray.html" title="Managed NDArray. The array is backed by reference count [...]
+<tr id="row_2_4_14_0_" 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_1NDArray_1_1Container.html" target="_self">Container</a></td><td class="desc"><a class="el" href="classtvm_1_1runtime_1_1Object.html" title="base class of all object containers. ">Object</a> container class that backs <a class="el" href="classtvm_1_1runtime_1_1NDArray.html [...]
+<tr id="row_2_4_14_1_" 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_1NDArray_1_1ContainerBase.html" target="_self">ContainerBase</a></td><td class="desc">The container base structure contains all the fields except for the <a class="el" href="classtvm_1_1runtime_1_1Object.html" title="base class of all object containers. ">Object</a> header [...]
+<tr id="row_2_4_15_" style="display:none;"><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_1runtime_1_1NullOptType.html" target="_self">NullOptType</a></td><td class="desc">Helper to represent nullptr for optional </td></tr>
+<tr id="row_2_4_16_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1ObjAllocatorBase.html" target="_self">ObjAllocatorBase</a></td><td class="desc">Base class of object allocators that implements make. Use curiously recurring template pattern </td></tr>
+<tr id="row_2_4_17_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1Object.html" target="_self">Object</a></td><td class="desc">Base class of all object containers </td></tr>
+<tr id="row_2_4_18_" style="display:none;"><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_1runtime_1_1ObjectEqual.html" target="_self">ObjectEqual</a></td><td class="desc">String-aware <a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html" title="Base class of all object reference. ">ObjectRef</a> hash functor </td></tr>
+<tr id="row_2_4_19_" style="display:none;"><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_1runtime_1_1ObjectHash.html" target="_self">ObjectHash</a></td><td class="desc">String-aware <a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html" title="Base class of all object reference. ">ObjectRef</a> equal functor </td></tr>
+<tr id="row_2_4_20_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1ObjectPtr.html" target="_self">ObjectPtr</a></td><td class="desc">A custom smart pointer for <a class="el" href="classtvm_1_1runtime_1_1Object.html" title="base class of all object containers. ">Object</a> </td></tr>
+<tr id="row_2_4_21_" style="display:none;"><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_1runtime_1_1ObjectPtrEqual.html" target="_self">ObjectPtrEqual</a></td><td class="desc"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html" title="Base class of all object reference. ">ObjectRef</a> equal functor </td></tr>
+<tr id="row_2_4_22_" style="display:none;"><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_1runtime_1_1ObjectPtrHash.html" target="_self">ObjectPtrHash</a></td><td class="desc"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html" title="Base class of all object reference. ">ObjectRef</a> hash functor </td></tr>
+<tr id="row_2_4_23_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html" target="_self">ObjectRef</a></td><td class="desc">Base class of all object reference </td></tr>
+<tr id="row_2_4_24_" style="display:none;"><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_1runtime_1_1ObjectTypeChecker.html" target="_self">ObjectTypeChecker</a></td><td class="desc"><a class="el" href="classtvm_1_1Type.html" title="Managed reference to TypeNode. ">Type</a> traits for runtime type check during FFI conversion </td></tr>
+<tr id="row_2_4_25_" style="display:none;"><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_1runtime_1_1ObjectTypeChecker_3_01Array_3_01T_01_4_01_4.html" target="_self">ObjectTypeChecker< Array< T > ></a></td><td class="desc"></td></tr>
+<tr id="row_2_4_26_" style="display:none;"><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_1runtime_1_1ObjectTypeChecker_3_01Map_3_01K_00_01V_01_4_01_4.html" target="_self">ObjectTypeChecker< Map< K, V > ></a></td><td class="desc"></td></tr>
+<tr id="row_2_4_27_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1Optional.html" target="_self">Optional</a></td><td class="desc"><a class="el" href="classtvm_1_1runtime_1_1Optional.html" title="Optional container that to represent to a Nullable variant of T. ">Optional</a> container that to represent to a Nullable variant of T </td></tr>
+<tr id="row_2_4_28_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1PackedFunc.html" target="_self">PackedFunc</a></td><td class="desc">Packed function is a type-erased function. The arguments are passed by packed format </td></tr>
+<tr id="row_2_4_29_" style="display:none;"><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_1runtime_1_1PackedFuncValueConverter.html" target="_self">PackedFuncValueConverter</a></td><td class="desc"><a class="el" href="classtvm_1_1Type.html" title="Managed reference to TypeNode. ">Type</a> trait to specify special value conversion rules from <a class="el" href="classtvm_1_1 [...]
+<tr id="row_2_4_30_" style="display:none;"><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_1runtime_1_1PackedFuncValueConverter_3_01Optional_3_01T_01_4_01_4.html" target="_self">PackedFuncValueConverter< Optional< T > ></a></td><td class="desc"></td></tr>
+<tr id="row_2_4_31_" style="display:none;"><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_1runtime_1_1PackedFuncValueConverter_3_01PrimExpr_01_4.html" target="_self">PackedFuncValueConverter< PrimExpr ></a></td><td class="desc"></td></tr>
+<tr id="row_2_4_32_" style="display:none;"><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_1runtime_1_1PackedFuncValueConverter_3_01tvm_1_1Bool_01_4.html" target="_self">PackedFuncValueConverter< tvm::Bool ></a></td><td class="desc"></td></tr>
+<tr id="row_2_4_33_" style="display:none;"><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_1runtime_1_1PackedFuncValueConverter_3_01tvm_1_1Integer_01_4.html" target="_self">PackedFuncValueConverter< tvm::Integer ></a></td><td class="desc"></td></tr>
+<tr id="row_2_4_34_" style="display:none;"><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_1runtime_1_1PackedFuncValueConverter_3_1_1tvm_1_1runtime_1_1String_01_4.html" target="_self">PackedFuncValueConverter<::tvm::runtime::String ></a></td><td class="desc"></td></tr>
+<tr id="row_2_4_35_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1Registry.html" target="_self">Registry</a></td><td class="desc"><a class="el" href="classtvm_1_1runtime_1_1Registry.html" title="Registry for global function. ">Registry</a> for global function </td></tr>
+<tr id="row_2_4_36_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1ReverseIterAdapter.html" target="_self">ReverseIterAdapter</a></td><td class="desc">Iterator adapter that adapts TIter to return another type </td></tr>
+<tr id="row_2_4_37_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_4_37_" class="arrow" onclick="toggleFolder('2_4_37_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1SimpleObjAllocator.html" target="_self">SimpleObjAllocator</a></td><td class="desc"></td></tr>
+<tr id="row_2_4_37_0_" 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_1SimpleObjAllocator_1_1ArrayHandler.html" target="_self">ArrayHandler</a></td><td class="desc"></td></tr>
+<tr id="row_2_4_37_1_" 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_1SimpleObjAllocator_1_1Handler.html" target="_self">Handler</a></td><td class="desc"></td></tr>
+<tr id="row_2_4_38_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1String.html" target="_self">String</a></td><td class="desc">Reference to string objects </td></tr>
+<tr id="row_2_4_39_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_4_39_" class="arrow" onclick="toggleFolder('2_4_39_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1StringObj.html" target="_self">StringObj</a></td><td class="desc">An object representing string. It's POD type </td></tr>
+<tr id="row_2_4_39_0_" 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_1StringObj_1_1FromStd.html" target="_self">FromStd</a></td><td class="desc">An object representing string moved from std::string </td></tr>
+<tr id="row_2_4_40_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1TVMArgs.html" target="_self">TVMArgs</a></td><td class="desc">Arguments into TVM functions </td></tr>
+<tr id="row_2_4_41_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1TVMArgsSetter.html" target="_self">TVMArgsSetter</a></td><td class="desc"></td></tr>
+<tr id="row_2_4_42_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1TVMArgValue.html" target="_self">TVMArgValue</a></td><td class="desc">A single argument value to <a class="el" href="classtvm_1_1runtime_1_1PackedFunc.html" title="Packed function is a type-erased function. The arguments are passed by packed format. ">PackedFunc</a>. Contai [...]
+<tr id="row_2_4_43_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1TVMMovableArgValue__.html" target="_self">TVMMovableArgValue_</a></td><td class="desc">Internal auxiliary struct for <a class="el" href="classtvm_1_1runtime_1_1TypedPackedFunc.html" title="Please refer to TypedPackedFunc<R(Args..)>. ">TypedPackedFunc</a> to indicate a [...]
+<tr id="row_2_4_44_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1TVMPODValue__.html" target="_self">TVMPODValue_</a></td><td class="desc">Internal base class to handle conversion to POD values </td></tr>
+<tr id="row_2_4_45_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1TVMRetValue.html" target="_self">TVMRetValue</a></td><td class="desc">Return Value container, Unlike <a class="el" href="classtvm_1_1runtime_1_1TVMArgValue.html" title="A single argument value to PackedFunc. Containing both type_code and TVMValue. ">TVMArgValue</a>, which o [...]
+<tr id="row_2_4_46_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1TypedPackedFunc.html" target="_self">TypedPackedFunc</a></td><td class="desc">Please refer to <a class="el" href="classtvm_1_1runtime_1_1TypedPackedFunc_3_01R_07Args_8_8_8_08_4.html#TypedPackedFuncAnchor">TypedPackedFunc<R(Args..)></a> </td></tr>
+<tr id="row_2_4_47_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1runtime_1_1TypedPackedFunc_3_01R_07Args_8_8_8_08_4.html" target="_self">TypedPackedFunc< R(Args...)></a></td><td class="desc">A <a class="el" href="classtvm_1_1runtime_1_1PackedFunc.html" title="Packed function is a type-erased function. The arguments are passed by packed format [...]
+<tr id="row_2_4_48_" style="display:none;"><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_1runtime_1_1TypeIndex.html" target="_self">TypeIndex</a></td><td class="desc">Namespace for the list of type index </td></tr>
+<tr id="row_2_5_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_5_" class="arrow" onclick="toggleFolder('2_5_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1te.html" target="_self">te</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Tensor.html" title="Tensor structure representing a possible input, or intermediate computation result. ">Tensor</a [...]
+<tr id="row_2_5_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1BaseComputeOpNode.html" target="_self">BaseComputeOpNode</a></td><td class="desc">A Compute op that compute a tensor on certain domain. This is the base class for <a class="el" href="classtvm_1_1te_1_1ComputeOp.html" title="Managed reference to ComputeOpNode. ">ComputeOp</a> (ope [...]
+<tr id="row_2_5_1_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1ComputeOp.html" target="_self">ComputeOp</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1ComputeOpNode.html" title="A Compute op that compute a tensor on certain domain. ">ComputeOpNode</a> </td></tr>
+<tr id="row_2_5_2_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1ComputeOpNode.html" target="_self">ComputeOpNode</a></td><td class="desc">A Compute op that compute a tensor on certain domain </td></tr>
+<tr id="row_2_5_3_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1ExternOp.html" target="_self">ExternOp</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1ExternOpNode.html" title="External computation that cannot be splitted. ">ExternOpNode</a> </td></tr>
+<tr id="row_2_5_4_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1ExternOpNode.html" target="_self">ExternOpNode</a></td><td class="desc">External computation that cannot be splitted </td></tr>
+<tr id="row_2_5_5_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1Fuse.html" target="_self">Fuse</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1FuseNode.html" title="Fuse two domains into one domain. ">FuseNode</a> </td></tr>
+<tr id="row_2_5_6_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1FuseNode.html" target="_self">FuseNode</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Fuse.html" title="Managed reference to FuseNode. ">Fuse</a> two domains into one domain </td></tr>
+<tr id="row_2_5_7_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1HybridOp.html" target="_self">HybridOp</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1HybridOpNode.html" title="A computation operator that generated by hybrid script. ">HybridOpNode</a> </td></tr>
+<tr id="row_2_5_8_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1HybridOpNode.html" target="_self">HybridOpNode</a></td><td class="desc">A computation operator that generated by hybrid script </td></tr>
+<tr id="row_2_5_9_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1IterVarAttr.html" target="_self">IterVarAttr</a></td><td class="desc">Additional scheduable attributes about IterVar </td></tr>
+<tr id="row_2_5_10_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1IterVarAttrNode.html" target="_self">IterVarAttrNode</a></td><td class="desc">Node container for IterVar attr </td></tr>
+<tr id="row_2_5_11_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1IterVarRelation.html" target="_self">IterVarRelation</a></td><td class="desc">The schedule relation between IterVars can be <a class="el" href="classtvm_1_1te_1_1Split.html" title="Managed reference to SplitNode. ">Split</a>, <a class="el" href="classtvm_1_1te_1_1Fuse.html" titl [...]
+<tr id="row_2_5_12_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1IterVarRelationNode.html" target="_self">IterVarRelationNode</a></td><td class="desc">Base node of iteration var </td></tr>
+<tr id="row_2_5_13_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1Operation.html" target="_self">Operation</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Operation.html" title="Operation that produces tensors. ">Operation</a> that produces tensors </td></tr>
+<tr id="row_2_5_14_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1OperationNode.html" target="_self">OperationNode</a></td><td class="desc">Base class of all operation nodes </td></tr>
+<tr id="row_2_5_15_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1PlaceholderOp.html" target="_self">PlaceholderOp</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1PlaceholderOpNode.html" title="A placeholder op represents an input placeholder. ">PlaceholderOpNode</a> </td></tr>
+<tr id="row_2_5_16_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1PlaceholderOpNode.html" target="_self">PlaceholderOpNode</a></td><td class="desc">A placeholder op represents an input placeholder </td></tr>
+<tr id="row_2_5_17_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1Rebase.html" target="_self">Rebase</a></td><td class="desc">Managed reference to <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> </td></tr>
+<tr id="row_2_5_18_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1RebaseNode.html" target="_self">RebaseNode</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Rebase.html" title="Managed reference to RebaseNode. ">Rebase</a> the iteration to make min to be 0. This is useful to normalize the <a class="el" href="classtvm_1_1te_1_1Sc [...]
+<tr id="row_2_5_19_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1ScanOp.html" target="_self">ScanOp</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1ScanOpNode.html" title="Symbolic scan. ">ScanOpNode</a> </td></tr>
+<tr id="row_2_5_20_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1ScanOpNode.html" target="_self">ScanOpNode</a></td><td class="desc">Symbolic scan </td></tr>
+<tr id="row_2_5_21_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1Schedule.html" target="_self">Schedule</a></td><td class="desc">Global schedule container For operations and all the operations they depend on. The schedule per <a class="el" href="classtvm_1_1te_1_1Operation.html" title="Operation that produces tensors. ">Operation</a> is named [...]
+<tr id="row_2_5_22_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1ScheduleNode.html" target="_self">ScheduleNode</a></td><td class="desc">Node container for schedule </td></tr>
+<tr id="row_2_5_23_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1Singleton.html" target="_self">Singleton</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1SingletonNode.html" title="Singleton iterator [0, 1) ">SingletonNode</a> </td></tr>
+<tr id="row_2_5_24_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1SingletonNode.html" target="_self">SingletonNode</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Singleton.html" title="Managed reference to SingletonNode. ">Singleton</a> iterator [0, 1) </td></tr>
+<tr id="row_2_5_25_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1SpecializedCondition.html" target="_self">SpecializedCondition</a></td><td class="desc">Specialized condition to enable op specialization </td></tr>
+<tr id="row_2_5_26_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1SpecializedConditionNode.html" target="_self">SpecializedConditionNode</a></td><td class="desc">Container for specialization conditions </td></tr>
+<tr id="row_2_5_27_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1Split.html" target="_self">Split</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1SplitNode.html" title="Split the parent domain into product of outer and iter. ">SplitNode</a> </td></tr>
+<tr id="row_2_5_28_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1SplitNode.html" target="_self">SplitNode</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Split.html" title="Managed reference to SplitNode. ">Split</a> the parent domain into product of outer and iter </td></tr>
+<tr id="row_2_5_29_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1Stage.html" target="_self">Stage</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Stage.html" title="Stage, contains scheduling for a stage of computation. ">Stage</a>, contains scheduling for a stage of computation </td></tr>
+<tr id="row_2_5_30_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1StageNode.html" target="_self">StageNode</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Stage.html" title="Stage, contains scheduling for a stage of computation. ">Stage</a> </td></tr>
+<tr id="row_2_5_31_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_5_31_" class="arrow" onclick="toggleFolder('2_5_31_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1Tensor.html" target="_self">Tensor</a></td><td class="desc"><a class="el" href="classtvm_1_1te_1_1Tensor.html" title="Tensor structure representing a possible input, or intermediate computation [...]
+<tr id="row_2_5_31_0_" 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_1te_1_1Tensor_1_1Slice.html" target="_self">Slice</a></td><td class="desc">Data structure to represent a slice that fixes first k coordinates. This is used to enable syntax sugar of <a class="el" href="classtvm_1_1te_1_1Tensor.html" title="Tensor structure representing a possible inp [...]
+<tr id="row_2_5_32_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1TensorComputeOp.html" target="_self">TensorComputeOp</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1TensorComputeOpNode.html" title="A TenorCompute op that compute a tensor with an tensor intrinsic. ">TensorComputeOpNode</a> </td></tr>
+<tr id="row_2_5_33_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1TensorComputeOpNode.html" target="_self">TensorComputeOpNode</a></td><td class="desc">A TenorCompute op that compute a tensor with an tensor intrinsic </td></tr>
+<tr id="row_2_5_34_" style="display:none;"><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_1te_1_1TensorDom.html" target="_self">TensorDom</a></td><td class="desc">Temporary data structure to store union of bounds of each axis of <a class="el" href="classtvm_1_1te_1_1Tensor.html" title="Tensor structure representing a possible input, or intermediate computation result. ">Te [...]
+<tr id="row_2_5_35_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1TensorIntrin.html" target="_self">TensorIntrin</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1TensorIntrinNode.html" title="Node to represent a Tensor intrinsic operator. ">TensorIntrinNode</a> </td></tr>
+<tr id="row_2_5_36_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1TensorIntrinCall.html" target="_self">TensorIntrinCall</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1te_1_1TensorIntrinCallNode.html">TensorIntrinCallNode</a> </td></tr>
+<tr id="row_2_5_37_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1TensorIntrinCallNode.html" target="_self">TensorIntrinCallNode</a></td><td class="desc"></td></tr>
+<tr id="row_2_5_38_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1TensorIntrinNode.html" target="_self">TensorIntrinNode</a></td><td class="desc">Node to represent a <a class="el" href="classtvm_1_1te_1_1Tensor.html" title="Tensor structure representing a possible input, or intermediate computation result. ">Tensor</a> intrinsic operator </td></tr>
+<tr id="row_2_5_39_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1te_1_1TensorNode.html" target="_self">TensorNode</a></td><td class="desc">Node to represent a tensor </td></tr>
+<tr id="row_2_6_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_6_" class="arrow" onclick="toggleFolder('2_6_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacetvm_1_1tir.html" target="_self">tir</a></td><td class="desc"></td></tr>
+<tr id="row_2_6_0_" style="display:none;"><td class="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_1Add.html" target="_self">Add</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1AddNode.html" title="a + b ">AddNode</a> </td></tr>
+<tr id="row_2_6_1_" style="display:none;"><td class="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_1AddNode.html" target="_self">AddNode</a></td><td class="desc"><ul>
<li>b </li>
</ul>
</td></tr>
-<tr id="row_2_5_2_" style="display:none;"><td class="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_1Allocate.html" target="_self">Allocate</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1AllocateNode.html" title="Allocate a buffer that can be used in body. ">AllocateNode</a> </td></tr>
-<tr id="row_2_5_3_" style="display:none;"><td class="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_1AllocateNode.html" target="_self">AllocateNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Allocate.html" title="Managed reference to AllocateNode. ">Allocate</a> a buffer that can be used in body </td></tr>
-<tr id="row_2_5_4_" style="display:none;"><td class="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_1And.html" target="_self">And</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1AndNode.html" title="a && b ">AndNode</a> </td></tr>
-<tr id="row_2_5_5_" style="display:none;"><td class="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_1AndNode.html" target="_self">AndNode</a></td><td class="desc">&& b </td></tr>
-<tr id="row_2_5_6_" style="display:none;"><td class="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_1Any.html" target="_self">Any</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1AnyNode.html" title="Any shape. ">AnyNode</a> </td></tr>
-<tr id="row_2_5_7_" style="display:none;"><td class="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_1AnyNode.html" target="_self">AnyNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Any.html" title="Managed reference to AnyNode. ">Any</a> shape </td></tr>
-<tr id="row_2_5_8_" style="display:none;"><td class="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_1AssertStmt.html" target="_self">AssertStmt</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1AssertStmtNode.html" title="Assert condition, if an error occurs, return the error message. ">AssertStmtNode</a> </td></tr>
-<tr id="row_2_5_9_" style="display:none;"><td class="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_1AssertStmtNode.html" target="_self">AssertStmtNode</a></td><td class="desc">Assert condition, if an error occurs, return the error message </td></tr>
-<tr id="row_2_5_10_" style="display:none;"><td class="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_1AttrStmt.html" target="_self">AttrStmt</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1AttrStmtNode.html" title="Define certain auxiliary attribute for the body to be a symbolic value. This provide auxiliary inform...">AttrStmtNode</a> </td></tr>
-<tr id="row_2_5_11_" style="display:none;"><td class="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_1AttrStmtNode.html" target="_self">AttrStmtNode</a></td><td class="desc">Define certain auxiliary attribute for the body to be a symbolic value. This provide auxiliary information for IR passes that transforms body </td></tr>
-<tr id="row_2_5_12_" style="display:none;"><td class="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_1BijectiveLayout.html" target="_self">BijectiveLayout</a></td><td class="desc">Bijective function mapping for data layout transformation. Given two <a class="el" href="classtvm_1_1tir_1_1Layout.html" title="Managed reference to LayoutNode. ">Layout</a>, <a class="el" href="class [...]
-<tr id="row_2_5_13_" style="display:none;"><td class="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_1BijectiveLayoutNode.html" target="_self">BijectiveLayoutNode</a></td><td class="desc"></td></tr>
-<tr id="row_2_5_14_" style="display:none;"><td class="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_1BinaryOpNode.html" target="_self">BinaryOpNode</a></td><td class="desc">Base template to implement binary ops </td></tr>
-<tr id="row_2_5_15_" style="display:none;"><td class="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_1Broadcast.html" target="_self">Broadcast</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1BroadcastNode.html" title="Create a vector where all the elements are value. ">BroadcastNode</a> </td></tr>
-<tr id="row_2_5_16_" style="display:none;"><td class="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_1BroadcastNode.html" target="_self">BroadcastNode</a></td><td class="desc">Create a vector where all the elements are value </td></tr>
-<tr id="row_2_5_17_" style="display:none;"><td class="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_1Buffer.html" target="_self">Buffer</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Buffer.html" title="Buffer is a symbolic n-darray structure. It is a composition of primitive symbolic types...">Buffer</a> is a symbolic n-darray structure. It is a composition o [...]
-<tr id="row_2_5_18_" style="display:none;"><td class="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_1BufferLoad.html" target="_self">BufferLoad</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1BufferLoadNode.html" title="Load value from the high dimension buffer. ">BufferLoadNode</a> </td></tr>
-<tr id="row_2_5_19_" style="display:none;"><td class="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_1BufferLoadNode.html" target="_self">BufferLoadNode</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 high dimension buffer </td></tr>
-<tr id="row_2_5_20_" style="display:none;"><td class="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_1BufferNode.html" target="_self">BufferNode</a></td><td class="desc">Node to represent a buffer </td></tr>
-<tr id="row_2_5_21_" style="display:none;"><td class="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_1BufferRealize.html" target="_self">BufferRealize</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1BufferRealizeNode.html" title="Annotate the region where the buffer need to be read and write in the body. We only need to allocate ...">BufferR [...]
-<tr id="row_2_5_22_" style="display:none;"><td class="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_1BufferRealizeNode.html" target="_self">BufferRealizeNode</a></td><td class="desc">Annotate the region where the buffer need to be read and write in the body. We only need to allocate the space for the corresponding region </td></tr>
-<tr id="row_2_5_23_" style="display:none;"><td class="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_1BufferStore.html" target="_self">BufferStore</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1BufferStoreNode.html" title="Store value to the high dimension buffer. ">BufferStoreNode</a> </td></tr>
-<tr id="row_2_5_24_" style="display:none;"><td class="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_1BufferStoreNode.html" target="_self">BufferStoreNode</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 high dimension buffer </td></tr>
-<tr id="row_2_5_25_" style="display:none;"><td class="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_1Call.html" target="_self">Call</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1CallNode.html" title="Call node. ">CallNode</a> </td></tr>
-<tr id="row_2_5_26_" style="display:none;"><td class="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_1CallNode.html" target="_self">CallNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Call.html" title="Managed reference to CallNode. ">Call</a> node </td></tr>
-<tr id="row_2_5_27_" style="display:none;"><td class="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_1Cast.html" target="_self">Cast</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1CastNode.html" title="Cast value from one data type to another. ">CastNode</a> </td></tr>
-<tr id="row_2_5_28_" style="display:none;"><td class="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_1CastNode.html" target="_self">CastNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Cast.html" title="Managed reference to CastNode. ">Cast</a> value from one data type to another </td></tr>
-<tr id="row_2_5_29_" style="display:none;"><td class="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_1CmpOpNode.html" target="_self">CmpOpNode</a></td><td class="desc">Base template to implement comparison ops </td></tr>
-<tr id="row_2_5_30_" style="display:none;"><td class="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_1CommReducer.html" target="_self">CommReducer</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1CommReducerNode.html" title="A commutative reducer node to represent a commutative binary operator with identity element...">CommReducerNode</a> </td></tr>
-<tr id="row_2_5_31_" style="display:none;"><td class="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_1CommReducerNode.html" target="_self">CommReducerNode</a></td><td class="desc">A commutative reducer node to represent a commutative binary operator with identity element </td></tr>
-<tr id="row_2_5_32_" style="display:none;"><td class="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_1DataProducer.html" target="_self">DataProducer</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1DataProducerNode.html" title="Base node for data producers. ">DataProducerNode</a> </td></tr>
-<tr id="row_2_5_33_" style="display:none;"><td class="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_1DataProducerNode.html" target="_self">DataProducerNode</a></td><td class="desc">Base node for data producers </td></tr>
-<tr id="row_2_5_34_" style="display:none;"><td class="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_1Div.html" target="_self">Div</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1DivNode.html" title="a / b in the C semnatics. ">DivNode</a> </td></tr>
-<tr id="row_2_5_35_" style="display:none;"><td class="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_1DivNode.html" target="_self">DivNode</a></td><td class="desc">/ b in the C semnatics </td></tr>
-<tr id="row_2_5_36_" style="display:none;"><td class="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_1EQ.html" target="_self">EQ</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1EQNode.html" title="a == b ">EQNode</a> </td></tr>
-<tr id="row_2_5_37_" style="display:none;"><td class="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_1EQNode.html" target="_self">EQNode</a></td><td class="desc">== b </td></tr>
-<tr id="row_2_5_38_" style="display:none;"><td class="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_1Evaluate.html" target="_self">Evaluate</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1EvaluateNode.html" title="Evaluates an expression. This is mostly used for putting a Call node into Stmt. ">EvaluateNode</a> </td></tr>
-<tr id="row_2_5_39_" style="display:none;"><td class="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_1EvaluateNode.html" target="_self">EvaluateNode</a></td><td class="desc">Evaluates an expression. This is mostly used for putting a <a class="el" href="classtvm_1_1tir_1_1Call.html" title="Managed reference to CallNode. ">Call</a> node into <a class="el" href="classtvm_1_1tir_1_ [...]
-<tr id="row_2_5_40_" style="display:none;"><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_1tir_1_1ExprDeepEqual.html" target="_self">ExprDeepEqual</a></td><td class="desc">Compare two expressions recursively and check if they are equal to each other without var remapping </td></tr>
-<tr id="row_2_5_41_" style="display:none;"><td class="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_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 Function </td></tr>
-<tr id="row_2_5_42_" style="display:none;"><td class="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_1ExprFunctor_3_01R_07const_01PrimExpr_01_6n_00_01Args_8_8_8_08_4.html" target="_self">ExprFunctor< R(const PrimExpr &n, Args...)></a></td><td class="desc"></td></tr>
-<tr id="row_2_5_43_" style="display:none;"><td class="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_1ExprMutator.html" target="_self">ExprMutator</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1ExprMutator.html" title="ExprMutator that mutates expressions. ">ExprMutator</a> that mutates expressions </td></tr>
-<tr id="row_2_5_44_" style="display:none;"><td class="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_1ExprVisitor.html" target="_self">ExprVisitor</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1ExprVisitor.html" title="ExprVisitor. ">ExprVisitor</a> </td></tr>
-<tr id="row_2_5_45_" style="display:none;"><td class="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_1FloorDiv.html" target="_self">FloorDiv</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1FloorDivNode.html" title="Floor division, floor(a/b) ">FloorDivNode</a> </td></tr>
-<tr id="row_2_5_46_" style="display:none;"><td class="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_1FloorDivNode.html" target="_self">FloorDivNode</a></td><td class="desc">Floor division, floor(a/b) </td></tr>
-<tr id="row_2_5_47_" style="display:none;"><td class="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_1FloorMod.html" target="_self">FloorMod</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1FloorModNode.html" title="The remainder of the floordiv. ">FloorModNode</a> </td></tr>
-<tr id="row_2_5_48_" style="display:none;"><td class="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_1FloorModNode.html" target="_self">FloorModNode</a></td><td class="desc">The remainder of the floordiv </td></tr>
-<tr id="row_2_5_49_" style="display:none;"><td class="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_1For.html" target="_self">For</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1ForNode.html" title="A for loop, with poissible type annotations. ">ForNode</a> </td></tr>
-<tr id="row_2_5_50_" style="display:none;"><td class="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_1ForNode.html" target="_self">ForNode</a></td><td class="desc">A for loop, with poissible type annotations </td></tr>
-<tr id="row_2_5_51_" style="display:none;"><td class="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_1GE.html" target="_self">GE</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1GENode.html" title="a >= b ">GENode</a> </td></tr>
-<tr id="row_2_5_52_" style="display:none;"><td class="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_1GENode.html" target="_self">GENode</a></td><td class="desc">>= b </td></tr>
-<tr id="row_2_5_53_" style="display:none;"><td class="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_1GT.html" target="_self">GT</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1GTNode.html" title="a > b ">GTNode</a> </td></tr>
-<tr id="row_2_5_54_" style="display:none;"><td class="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_1GTNode.html" target="_self">GTNode</a></td><td class="desc">> b </td></tr>
-<tr id="row_2_5_55_" style="display:none;"><td class="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_1IfThenElse.html" target="_self">IfThenElse</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1IfThenElseNode.html" title="IfThenElse statment. ">IfThenElseNode</a> </td></tr>
-<tr id="row_2_5_56_" style="display:none;"><td class="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_1IfThenElseNode.html" target="_self">IfThenElseNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1IfThenElse.html" title="Managed reference to IfThenElseNode. ">IfThenElse</a> statment </td></tr>
-<tr id="row_2_5_57_" style="display:none;"><td class="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_1IterVar.html" target="_self">IterVar</a></td><td class="desc">Iteration Variable, represents an iteration over an integer interval </td></tr>
-<tr id="row_2_5_58_" style="display:none;"><td class="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_1IterVarNode.html" target="_self">IterVarNode</a></td><td class="desc">An iteration variable representing an iteration over a one dimensional interval </td></tr>
-<tr id="row_2_5_59_" style="display:none;"><td class="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_1Layout.html" target="_self">Layout</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1LayoutNode.html" title="Layout is to describe how data is organized within an N-dimention tensor. It is composed of upper cas...">LayoutNode</a> </td></tr>
-<tr id="row_2_5_60_" style="display:none;"><td class="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_1LayoutAxis.html" target="_self">LayoutAxis</a></td><td class="desc"></td></tr>
-<tr id="row_2_5_61_" style="display:none;"><td class="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_1LayoutNode.html" target="_self">LayoutNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Layout.html" title="Managed reference to LayoutNode. ">Layout</a> is to describe how data is organized within an N-dimention tensor. It is composed of upper cases, lower c [...]
-<tr id="row_2_5_62_" style="display:none;"><td class="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_1LE.html" target="_self">LE</a></td><td class="desc">Managed reference to <a class="el" href="structtvm_1_1tir_1_1LENode.html" title="a <= b ">LENode</a> </td></tr>
-<tr id="row_2_5_63_" style="display:none;"><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_1tir_1_1LENode.html" target="_self">LENode</a></td><td class="desc"><= b </td></tr>
-<tr id="row_2_5_64_" style="display:none;"><td class="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_1Let.html" target="_self">Let</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1LetNode.html" title="Let binding. Bind var to value then evaluate body. ">LetNode</a> </td></tr>
-<tr id="row_2_5_65_" style="display:none;"><td class="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_2_5_66_" style="display:none;"><td class="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_2_5_67_" style="display:none;"><td class="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_2_5_68_" style="display:none;"><td class="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_2_5_69_" style="display:none;"><td class="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_2_5_70_" style="display:none;"><td class="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_2_5_71_" style="display:none;"><td class="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_2_5_72_" style="display:none;"><td class="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_2_5_73_" style="display:none;"><td class="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_2_5_74_" style="display:none;"><td class="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_2_5_75_" style="display:none;"><td class="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_2_5_76_" style="display:none;"><td class="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_2_5_77_" style="display:none;"><td class="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_2_5_78_" style="display:none;"><td class="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_2_5_79_" style="display:none;"><td class="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_2_6_2_" style="display:none;"><td class="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_1Allocate.html" target="_self">Allocate</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1AllocateNode.html" title="Allocate a buffer that can be used in body. ">AllocateNode</a> </td></tr>
+<tr id="row_2_6_3_" style="display:none;"><td class="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_1AllocateNode.html" target="_self">AllocateNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Allocate.html" title="Managed reference to AllocateNode. ">Allocate</a> a buffer that can be used in body </td></tr>
+<tr id="row_2_6_4_" style="display:none;"><td class="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_1And.html" target="_self">And</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1AndNode.html" title="a && b ">AndNode</a> </td></tr>
+<tr id="row_2_6_5_" style="display:none;"><td class="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_1AndNode.html" target="_self">AndNode</a></td><td class="desc">&& b </td></tr>
+<tr id="row_2_6_6_" style="display:none;"><td class="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_1Any.html" target="_self">Any</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1AnyNode.html" title="Any shape. ">AnyNode</a> </td></tr>
+<tr id="row_2_6_7_" style="display:none;"><td class="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_1AnyNode.html" target="_self">AnyNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Any.html" title="Managed reference to AnyNode. ">Any</a> shape </td></tr>
+<tr id="row_2_6_8_" style="display:none;"><td class="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_1AssertStmt.html" target="_self">AssertStmt</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1AssertStmtNode.html" title="Assert condition, if an error occurs, return the error message. ">AssertStmtNode</a> </td></tr>
+<tr id="row_2_6_9_" style="display:none;"><td class="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_1AssertStmtNode.html" target="_self">AssertStmtNode</a></td><td class="desc">Assert condition, if an error occurs, return the error message </td></tr>
+<tr id="row_2_6_10_" style="display:none;"><td class="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_1AttrStmt.html" target="_self">AttrStmt</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1AttrStmtNode.html" title="Define certain auxiliary attribute for the body to be a symbolic value. This provide auxiliary inform...">AttrStmtNode</a> </td></tr>
+<tr id="row_2_6_11_" style="display:none;"><td class="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_1AttrStmtNode.html" target="_self">AttrStmtNode</a></td><td class="desc">Define certain auxiliary attribute for the body to be a symbolic value. This provide auxiliary information for IR passes that transforms body </td></tr>
+<tr id="row_2_6_12_" style="display:none;"><td class="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_1BijectiveLayout.html" target="_self">BijectiveLayout</a></td><td class="desc">Bijective function mapping for data layout transformation. Given two <a class="el" href="classtvm_1_1tir_1_1Layout.html" title="Managed reference to LayoutNode. ">Layout</a>, <a class="el" href="class [...]
+<tr id="row_2_6_13_" style="display:none;"><td class="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_1BijectiveLayoutNode.html" target="_self">BijectiveLayoutNode</a></td><td class="desc"></td></tr>
+<tr id="row_2_6_14_" style="display:none;"><td class="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_1BinaryOpNode.html" target="_self">BinaryOpNode</a></td><td class="desc">Base template to implement binary ops </td></tr>
+<tr id="row_2_6_15_" style="display:none;"><td class="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_1Broadcast.html" target="_self">Broadcast</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1BroadcastNode.html" title="Create a vector where all the elements are value. ">BroadcastNode</a> </td></tr>
+<tr id="row_2_6_16_" style="display:none;"><td class="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_1BroadcastNode.html" target="_self">BroadcastNode</a></td><td class="desc">Create a vector where all the elements are value </td></tr>
+<tr id="row_2_6_17_" style="display:none;"><td class="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_1Buffer.html" target="_self">Buffer</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Buffer.html" title="Buffer is a symbolic n-darray structure. It is a composition of primitive symbolic types...">Buffer</a> is a symbolic n-darray structure. It is a composition o [...]
+<tr id="row_2_6_18_" style="display:none;"><td class="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_1BufferLoad.html" target="_self">BufferLoad</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1BufferLoadNode.html" title="Load value from the high dimension buffer. ">BufferLoadNode</a> </td></tr>
+<tr id="row_2_6_19_" style="display:none;"><td class="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_1BufferLoadNode.html" target="_self">BufferLoadNode</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 high dimension buffer </td></tr>
+<tr id="row_2_6_20_" style="display:none;"><td class="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_1BufferNode.html" target="_self">BufferNode</a></td><td class="desc">Node to represent a buffer </td></tr>
+<tr id="row_2_6_21_" style="display:none;"><td class="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_1BufferRealize.html" target="_self">BufferRealize</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1BufferRealizeNode.html" title="Annotate the region where the buffer need to be read and write in the body. We only need to allocate ...">BufferR [...]
+<tr id="row_2_6_22_" style="display:none;"><td class="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_1BufferRealizeNode.html" target="_self">BufferRealizeNode</a></td><td class="desc">Annotate the region where the buffer need to be read and write in the body. We only need to allocate the space for the corresponding region </td></tr>
+<tr id="row_2_6_23_" style="display:none;"><td class="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_1BufferStore.html" target="_self">BufferStore</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1BufferStoreNode.html" title="Store value to the high dimension buffer. ">BufferStoreNode</a> </td></tr>
+<tr id="row_2_6_24_" style="display:none;"><td class="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_1BufferStoreNode.html" target="_self">BufferStoreNode</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 high dimension buffer </td></tr>
+<tr id="row_2_6_25_" style="display:none;"><td class="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_1Call.html" target="_self">Call</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1CallNode.html" title="Call node. ">CallNode</a> </td></tr>
+<tr id="row_2_6_26_" style="display:none;"><td class="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_1CallNode.html" target="_self">CallNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Call.html" title="Managed reference to CallNode. ">Call</a> node </td></tr>
+<tr id="row_2_6_27_" style="display:none;"><td class="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_1Cast.html" target="_self">Cast</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1CastNode.html" title="Cast value from one data type to another. ">CastNode</a> </td></tr>
+<tr id="row_2_6_28_" style="display:none;"><td class="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_1CastNode.html" target="_self">CastNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Cast.html" title="Managed reference to CastNode. ">Cast</a> value from one data type to another </td></tr>
+<tr id="row_2_6_29_" style="display:none;"><td class="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_1CmpOpNode.html" target="_self">CmpOpNode</a></td><td class="desc">Base template to implement comparison ops </td></tr>
+<tr id="row_2_6_30_" style="display:none;"><td class="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_1CommReducer.html" target="_self">CommReducer</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1CommReducerNode.html" title="A commutative reducer node to represent a commutative binary operator with identity element...">CommReducerNode</a> </td></tr>
+<tr id="row_2_6_31_" style="display:none;"><td class="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_1CommReducerNode.html" target="_self">CommReducerNode</a></td><td class="desc">A commutative reducer node to represent a commutative binary operator with identity element </td></tr>
+<tr id="row_2_6_32_" style="display:none;"><td class="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_1DataProducer.html" target="_self">DataProducer</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1DataProducerNode.html" title="Base node for data producers. ">DataProducerNode</a> </td></tr>
+<tr id="row_2_6_33_" style="display:none;"><td class="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_1DataProducerNode.html" target="_self">DataProducerNode</a></td><td class="desc">Base node for data producers </td></tr>
+<tr id="row_2_6_34_" style="display:none;"><td class="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_1Div.html" target="_self">Div</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1DivNode.html" title="a / b in the C semnatics. ">DivNode</a> </td></tr>
+<tr id="row_2_6_35_" style="display:none;"><td class="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_1DivNode.html" target="_self">DivNode</a></td><td class="desc">/ b in the C semnatics </td></tr>
+<tr id="row_2_6_36_" style="display:none;"><td class="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_1EQ.html" target="_self">EQ</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1EQNode.html" title="a == b ">EQNode</a> </td></tr>
+<tr id="row_2_6_37_" style="display:none;"><td class="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_1EQNode.html" target="_self">EQNode</a></td><td class="desc">== b </td></tr>
+<tr id="row_2_6_38_" style="display:none;"><td class="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_1Evaluate.html" target="_self">Evaluate</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1EvaluateNode.html" title="Evaluates an expression. This is mostly used for putting a Call node into Stmt. ">EvaluateNode</a> </td></tr>
+<tr id="row_2_6_39_" style="display:none;"><td class="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_1EvaluateNode.html" target="_self">EvaluateNode</a></td><td class="desc">Evaluates an expression. This is mostly used for putting a <a class="el" href="classtvm_1_1tir_1_1Call.html" title="Managed reference to CallNode. ">Call</a> node into <a class="el" href="classtvm_1_1tir_1_ [...]
+<tr id="row_2_6_40_" style="display:none;"><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_1tir_1_1ExprDeepEqual.html" target="_self">ExprDeepEqual</a></td><td class="desc">Compare two expressions recursively and check if they are equal to each other without var remapping </td></tr>
+<tr id="row_2_6_41_" style="display:none;"><td class="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_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 Function </td></tr>
+<tr id="row_2_6_42_" style="display:none;"><td class="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_1ExprFunctor_3_01R_07const_01PrimExpr_01_6n_00_01Args_8_8_8_08_4.html" target="_self">ExprFunctor< R(const PrimExpr &n, Args...)></a></td><td class="desc"></td></tr>
+<tr id="row_2_6_43_" style="display:none;"><td class="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_1ExprMutator.html" target="_self">ExprMutator</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1ExprMutator.html" title="ExprMutator that mutates expressions. ">ExprMutator</a> that mutates expressions </td></tr>
+<tr id="row_2_6_44_" style="display:none;"><td class="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_1ExprVisitor.html" target="_self">ExprVisitor</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1ExprVisitor.html" title="ExprVisitor. ">ExprVisitor</a> </td></tr>
+<tr id="row_2_6_45_" style="display:none;"><td class="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_1FloorDiv.html" target="_self">FloorDiv</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1FloorDivNode.html" title="Floor division, floor(a/b) ">FloorDivNode</a> </td></tr>
+<tr id="row_2_6_46_" style="display:none;"><td class="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_1FloorDivNode.html" target="_self">FloorDivNode</a></td><td class="desc">Floor division, floor(a/b) </td></tr>
+<tr id="row_2_6_47_" style="display:none;"><td class="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_1FloorMod.html" target="_self">FloorMod</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1FloorModNode.html" title="The remainder of the floordiv. ">FloorModNode</a> </td></tr>
+<tr id="row_2_6_48_" style="display:none;"><td class="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_1FloorModNode.html" target="_self">FloorModNode</a></td><td class="desc">The remainder of the floordiv </td></tr>
+<tr id="row_2_6_49_" style="display:none;"><td class="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_1For.html" target="_self">For</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1ForNode.html" title="A for loop, with poissible type annotations. ">ForNode</a> </td></tr>
+<tr id="row_2_6_50_" style="display:none;"><td class="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_1ForNode.html" target="_self">ForNode</a></td><td class="desc">A for loop, with poissible type annotations </td></tr>
+<tr id="row_2_6_51_" style="display:none;"><td class="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_1GE.html" target="_self">GE</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1GENode.html" title="a >= b ">GENode</a> </td></tr>
+<tr id="row_2_6_52_" style="display:none;"><td class="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_1GENode.html" target="_self">GENode</a></td><td class="desc">>= b </td></tr>
+<tr id="row_2_6_53_" style="display:none;"><td class="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_1GT.html" target="_self">GT</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1GTNode.html" title="a > b ">GTNode</a> </td></tr>
+<tr id="row_2_6_54_" style="display:none;"><td class="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_1GTNode.html" target="_self">GTNode</a></td><td class="desc">> b </td></tr>
+<tr id="row_2_6_55_" style="display:none;"><td class="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_1IfThenElse.html" target="_self">IfThenElse</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1IfThenElseNode.html" title="IfThenElse statment. ">IfThenElseNode</a> </td></tr>
+<tr id="row_2_6_56_" style="display:none;"><td class="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_1IfThenElseNode.html" target="_self">IfThenElseNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1IfThenElse.html" title="Managed reference to IfThenElseNode. ">IfThenElse</a> statment </td></tr>
+<tr id="row_2_6_57_" style="display:none;"><td class="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_1IterVar.html" target="_self">IterVar</a></td><td class="desc">Iteration Variable, represents an iteration over an integer interval </td></tr>
+<tr id="row_2_6_58_" style="display:none;"><td class="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_1IterVarNode.html" target="_self">IterVarNode</a></td><td class="desc">An iteration variable representing an iteration over a one dimensional interval </td></tr>
+<tr id="row_2_6_59_" style="display:none;"><td class="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_1Layout.html" target="_self">Layout</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1LayoutNode.html" title="Layout is to describe how data is organized within an N-dimention tensor. It is composed of upper cas...">LayoutNode</a> </td></tr>
+<tr id="row_2_6_60_" style="display:none;"><td class="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_1LayoutAxis.html" target="_self">LayoutAxis</a></td><td class="desc"></td></tr>
+<tr id="row_2_6_61_" style="display:none;"><td class="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_1LayoutNode.html" target="_self">LayoutNode</a></td><td class="desc"><a class="el" href="classtvm_1_1tir_1_1Layout.html" title="Managed reference to LayoutNode. ">Layout</a> is to describe how data is organized within an N-dimention tensor. It is composed of upper cases, lower c [...]
+<tr id="row_2_6_62_" style="display:none;"><td class="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_1LE.html" target="_self">LE</a></td><td class="desc">Managed reference to <a class="el" href="structtvm_1_1tir_1_1LENode.html" title="a <= b ">LENode</a> </td></tr>
+<tr id="row_2_6_63_" style="display:none;"><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_1tir_1_1LENode.html" target="_self">LENode</a></td><td class="desc"><= b </td></tr>
+<tr id="row_2_6_64_" style="display:none;"><td class="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_1Let.html" target="_self">Let</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1tir_1_1LetNode.html" title="Let binding. Bind var to value then evaluate body. ">LetNode</a> </td></tr>
+<tr id="row_2_6_65_" style="display:none;"><td class="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_2_6_66_" style="display:none;"><td class="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_2_6_67_" style="display:none;"><td class="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_2_6_68_" style="display:none;"><td class="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_2_6_69_" style="display:none;"><td class="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_2_6_70_" style="display:none;"><td class="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_2_6_71_" style="display:none;"><td class="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_2_6_72_" style="display:none;"><td class="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_2_6_73_" style="display:none;"><td class="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_2_6_74_" style="display:none;"><td class="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_2_6_75_" style="display:none;"><td class="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_2_6_76_" style="display:none;"><td class="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_2_6_77_" style="display:none;"><td class="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_2_6_78_" style="display:none;"><td class="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_2_6_79_" style="display:none;"><td class="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_2_5_80_" style="display:none;"><td class="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_2_5_81_" style="display:none;"><td class="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_2_5_82_" style="display:none;"><td class="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_2_5_83_" style="display:none;"><td class="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_2_5_84_" style="display:none;"><td class="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_2_5_85_" style="display:none;"><td class="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_2_5_86_" style="display:none;"><td class="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_2_5_87_" style="display:none;"><td class="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_2_5_88_" style="display:none;"><td class="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_2_5_89_" style="display:none;"><td class="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_2_5_90_" style="display:none;"><td class="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_2_5_91_" style="display:none;"><td class="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_2_5_92_" style="display:none;"><td class="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 body...">Produce [...]
-<tr id="row_2_5_93_" style="display:none;"><td class="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_2_5_94_" style="display:none;"><td class="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. ">ProducerStoreNode</a [...]
-<tr id="row_2_5_95_" style="display:none;"><td class="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 producer </td></tr>
-<tr id="row_2_5_96_" style="display:none;"><td class="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 a continuous [...]
-<tr id="row_2_5_97_" style="display:none;"><td class="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_2_5_98_" style="display:none;"><td class="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_2_5_99_" style="display:none;"><td class="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_2_5_100_" style="display:none;"><td class="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_2_5_101_" style="display:none;"><td class="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_2_5_102_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_5_102_" class="arrow" onclick="toggleFolder('2_5_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_2_5_102_0_" 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_2_5_103_" style="display:none;"><td class="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_2_5_104_" style="display:none;"><td class="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_2_5_105_" style="display:none;"><td class="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_2_5_106_" style="display:none;"><td class="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_2_5_107_" style="display:none;"><td class="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_2_5_108_" style="display:none;"><td class="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_2_5_109_" style="display:none;"><td class="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_2_5_110_" style="display:none;"><td class="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_2_5_111_" style="display:none;"><td class="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> except it is [...]
-<tr id="row_2_5_112_" style="display:none;"><td class="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_2_5_113_" style="display:none;"><td class="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_2_5_114_" style="display:none;"><td class="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_2_5_115_" style="display:none;"><td class="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_2_5_116_" style="display:none;"><td class="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_2_5_117_" style="display:none;"><td class="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_2_5_118_" style="display:none;"><td class="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_2_5_119_" style="display:none;"><td class="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_2_5_120_" style="display:none;"><td class="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_2_5_121_" style="display:none;"><td class="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_2_6_80_" style="display:none;"><td class="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_2_6_81_" style="display:none;"><td class="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_2_6_82_" style="display:none;"><td class="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_2_6_83_" style="display:none;"><td class="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_2_6_84_" style="display:none;"><td class="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_2_6_85_" style="display:none;"><td class="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_2_6_86_" style="display:none;"><td class="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_2_6_87_" style="display:none;"><td class="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_2_6_88_" style="display:none;"><td class="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_2_6_89_" style="display:none;"><td class="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_2_6_90_" style="display:none;"><td class="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_2_6_91_" style="display:none;"><td class="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_2_6_92_" style="display:none;"><td class="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 body...">Produce [...]
+<tr id="row_2_6_93_" style="display:none;"><td class="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_2_6_94_" style="display:none;"><td class="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. ">ProducerStoreNode</a [...]
+<tr id="row_2_6_95_" style="display:none;"><td class="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 producer </td></tr>
+<tr id="row_2_6_96_" style="display:none;"><td class="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 a continuous [...]
+<tr id="row_2_6_97_" style="display:none;"><td class="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_2_6_98_" style="display:none;"><td class="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_2_6_99_" style="display:none;"><td class="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_2_6_100_" style="display:none;"><td class="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_2_6_101_" style="display:none;"><td class="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_2_6_102_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_2_6_102_" class="arrow" onclick="toggleFolder('2_6_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_2_6_102_0_" 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_2_6_103_" style="display:none;"><td class="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_2_6_104_" style="display:none;"><td class="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_2_6_105_" style="display:none;"><td class="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_2_6_106_" style="display:none;"><td class="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_2_6_107_" style="display:none;"><td class="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_2_6_108_" style="display:none;"><td class="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_2_6_109_" style="display:none;"><td class="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_2_6_110_" style="display:none;"><td class="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_2_6_111_" style="display:none;"><td class="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> except it is [...]
+<tr id="row_2_6_112_" style="display:none;"><td class="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_2_6_113_" style="display:none;"><td class="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_2_6_114_" style="display:none;"><td class="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_2_6_115_" style="display:none;"><td class="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_2_6_116_" style="display:none;"><td class="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_2_6_117_" style="display:none;"><td class="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_2_6_118_" style="display:none;"><td class="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_2_6_119_" style="display:none;"><td class="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_2_6_120_" style="display:none;"><td class="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_2_6_121_" style="display:none;"><td class="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_2_5_122_" style="display:none;"><td class="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_2_5_123_" style="display:none;"><td class="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_2_6_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_6_" class="arrow" onclick="toggleFolder('2_6_')">►</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_2_6_0_" style="display:none;"><td class="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>
-<tr id="row_2_6_1_" style="display:none;"><td class="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_1PassContext.html" target="_self">PassContext</a></td><td class="desc"><a class="el" href="classtvm_1_1transform_1_1PassContext.html" title="PassContext that is used to configure the pass behavior. ">PassContext</a> that is used to configure the pass behavior </td></tr>
-<tr id="row_2_6_2_" style="display:none;"><td class="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_1PassContextNode.html" target="_self">PassContextNode</a></td><td class="desc"><a class="el" href="classtvm_1_1transform_1_1PassContextNode.html" title="PassContextNode contains the information that a pass can rely on, such as analysis results...">PassContextNode</a> contai [...]
-<tr id="row_2_6_3_" style="display:none;"><td class="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_1PassInfo.html" target="_self">PassInfo</a></td><td class="desc"></td></tr>
-<tr id="row_2_6_4_" style="display:none;"><td class="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_1PassInfoNode.html" target="_self">PassInfoNode</a></td><td class="desc">Meta data that will be used to help optimization and analysis </td></tr>
-<tr id="row_2_6_5_" style="display:none;"><td class="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_1PassNode.html" target="_self">PassNode</a></td><td class="desc"><a class="el" href="classtvm_1_1transform_1_1PassNode.html" title="PassNode is the base type of differnt types of optimization passes. It is designed as a pure class an...">PassNode</a> is the base type of dif [...]
-<tr id="row_2_6_6_" style="display:none;"><td class="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_1Sequential.html" target="_self">Sequential</a></td><td class="desc"></td></tr>
-<tr id="row_2_7_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1AttrError.html" target="_self">AttrError</a></td><td class="desc"><a class="el" href="classtvm_1_1Error.html" title="Custom Error class to be thrown during compilation. ">Error</a> thrown during attribute checking </td></tr>
-<tr id="row_2_8_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1AttrFieldInfo.html" target="_self">AttrFieldInfo</a></td><td class="desc"><a class="el" href="classtvm_1_1AttrFieldInfo.html" title="AttrFieldInfo. ">AttrFieldInfo</a> </td></tr>
-<tr id="row_2_9_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1AttrFieldInfoNode.html" target="_self">AttrFieldInfoNode</a></td><td class="desc">Information about attribute fields in string representations </td></tr>
-<tr id="row_2_10_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1AttrRegistryMap.html" target="_self">AttrRegistryMap</a></td><td class="desc">Map<Key, ValueType> used to store meta-data </td></tr>
-<tr id="row_2_11_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1AttrRegistryMapContainerMap.html" target="_self">AttrRegistryMapContainerMap</a></td><td class="desc">Generic attribute map </td></tr>
-<tr id="row_2_12_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Attrs.html" target="_self">Attrs</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1BaseAttrsNode.html" title="Base class of all attribute class. ">BaseAttrsNode</a> </td></tr>
-<tr id="row_2_13_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1AttrsNode.html" target="_self">AttrsNode</a></td><td class="desc">The base class of the all the Use "curiously recurring template pattern" </td></tr>
-<tr id="row_2_14_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1AttrVisitor.html" target="_self">AttrVisitor</a></td><td class="desc">Visitor class for to get the attributesof a AST/IR node. The content is going to be called for each field </td></tr>
-<tr id="row_2_15_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseAttrsNode.html" target="_self">BaseAttrsNode</a></td><td class="desc">Base class of all attribute class </td></tr>
-<tr id="row_2_16_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseExpr.html" target="_self">BaseExpr</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1BaseExprNode.html" title="Base type of all the expressions. ">BaseExprNode</a> </td></tr>
-<tr id="row_2_17_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseExprNode.html" target="_self">BaseExprNode</a></td><td class="desc">Base type of all the expressions </td></tr>
-<tr id="row_2_18_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseFunc.html" target="_self">BaseFunc</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1BaseFuncNode.html" title="Base node of all functions. ">BaseFuncNode</a> </td></tr>
-<tr id="row_2_19_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseFuncNode.html" target="_self">BaseFuncNode</a></td><td class="desc">Base node of all functions </td></tr>
-<tr id="row_2_20_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseTensorType.html" target="_self">BaseTensorType</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1BaseTensorTypeNode.html" title="Base of all Tensor types This container can hold TensorType or GenericTensorType. ...">BaseTensorTypeNode</a> </td></tr>
-<tr id="row_2_21_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseTensorTypeNode.html" target="_self">BaseTensorTypeNode</a></td><td class="desc">Base of all Tensor types This container can hold <a class="el" href="classtvm_1_1TensorType.html" title="Managed reference to TensorTypeNode. ">TensorType</a> or GenericTensorType </td></tr>
-<tr id="row_2_22_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseValueEqual.html" target="_self">BaseValueEqual</a></td><td class="desc">Equality definition of base value class </td></tr>
-<tr id="row_2_23_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseValueHash.html" target="_self">BaseValueHash</a></td><td class="desc">Hash definition of base value classes </td></tr>
-<tr id="row_2_24_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Bool.html" target="_self">Bool</a></td><td class="desc">Boolean constant </td></tr>
-<tr id="row_2_25_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Constructor.html" target="_self">Constructor</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1ConstructorNode.html" title="ADT constructor. Constructors compare by pointer equality. ">ConstructorNode</a> </td></tr>
-<tr id="row_2_26_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1ConstructorNode.html" target="_self">ConstructorNode</a></td><td class="desc">ADT constructor. Constructors compare by pointer equality </td></tr>
-<tr id="row_2_27_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1DenseMapNode.html" target="_self">DenseMapNode</a></td><td class="desc">A specialization of hash map that implements the idea of array-based hash map. Another reference implementation can be found [1] </td></tr>
-<tr id="row_2_28_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1DictAttrs.html" target="_self">DictAttrs</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1DictAttrsNode.html" title="Specialized attribute type that is backed by a map. The DictAttrsNode implements the Attrs behavior...">DictAttrsNode</a> </td></tr>
-<tr id="row_2_29_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1DictAttrsNode.html" target="_self">DictAttrsNode</a></td><td class="desc">Specialized attribute type that is backed by a map. The <a class="el" href="classtvm_1_1DictAttrsNode.html" title="Specialized attribute type that is backed by a map. The DictAttrsNode implements the Attrs behavio [...]
-<tr id="row_2_30_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1EnvFunc.html" target="_self">EnvFunc</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1EnvFuncNode.html" title="A serializable function backed by TVM's global environment. ">EnvFuncNode</a> </td></tr>
-<tr id="row_2_31_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1EnvFuncNode.html" target="_self">EnvFuncNode</a></td><td class="desc">A serializable function backed by TVM's global environment </td></tr>
-<tr id="row_2_32_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Error.html" target="_self">Error</a></td><td class="desc">Custom <a class="el" href="classtvm_1_1Error.html" title="Custom Error class to be thrown during compilation. ">Error</a> class to be thrown during compilation </td></tr>
-<tr id="row_2_33_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1ErrorBuilder.html" target="_self">ErrorBuilder</a></td><td class="desc">A wrapper around std::stringstream to build error </td></tr>
-<tr id="row_2_34_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1ErrorReporter.html" target="_self">ErrorReporter</a></td><td class="desc">An abstraction around how errors are stored and reported. Designed to be opaque to users, so we can support a robust and simpler error reporting mode, as well as a more complex mode </td></tr>
-<tr id="row_2_35_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1FloatImm.html" target="_self">FloatImm</a></td><td class="desc">Managed reference class to <a class="el" href="classtvm_1_1FloatImmNode.html" title="Constant floating point literals in the program. ">FloatImmNode</a> </td></tr>
-<tr id="row_2_36_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1FloatImmNode.html" target="_self">FloatImmNode</a></td><td class="desc">Constant floating point literals in the program </td></tr>
-<tr id="row_2_37_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1FuncType.html" target="_self">FuncType</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1FuncTypeNode.html" title="Function type. ">FuncTypeNode</a> </td></tr>
-<tr id="row_2_38_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1FuncTypeNode.html" target="_self">FuncTypeNode</a></td><td class="desc">Function type </td></tr>
-<tr id="row_2_39_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1GenericFunc.html" target="_self">GenericFunc</a></td><td class="desc">Generic function that can be specialized on a per-target basis </td></tr>
-<tr id="row_2_40_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1GenericFuncNode.html" target="_self">GenericFuncNode</a></td><td class="desc">Represents a generic function that can be specialized on a per-target basis </td></tr>
-<tr id="row_2_41_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1GlobalTypeVar.html" target="_self">GlobalTypeVar</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1GlobalTypeVarNode.html" title="A global type variable that is used for defining new types or type aliases. ">GlobalTypeVarNode</a> </td></tr>
-<tr id="row_2_42_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1GlobalTypeVarNode.html" target="_self">GlobalTypeVarNode</a></td><td class="desc">A global type variable that is used for defining new types or type aliases </td></tr>
-<tr id="row_2_43_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1GlobalVar.html" target="_self">GlobalVar</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1GlobalVarNode.html" title="Global variable that lives in the top-level module. ">GlobalVarNode</a> </td></tr>
-<tr id="row_2_44_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1GlobalVarNode.html" target="_self">GlobalVarNode</a></td><td class="desc">Global variable that lives in the top-level module </td></tr>
-<tr id="row_2_45_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1IncompleteType.html" target="_self">IncompleteType</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1IncompleteTypeNode.html" title="Intermediate values that is used to indicate incomplete type during type inference. ">IncompleteTypeNode</a> </td></tr>
-<tr id="row_2_46_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1IncompleteTypeNode.html" target="_self">IncompleteTypeNode</a></td><td class="desc">Intermediate values that is used to indicate incomplete type during type inference </td></tr>
-<tr id="row_2_47_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Integer.html" target="_self">Integer</a></td><td class="desc">Container of constant int that adds more constructors </td></tr>
-<tr id="row_2_48_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1IntImm.html" target="_self">IntImm</a></td><td class="desc">Managed reference class to <a class="el" href="classtvm_1_1IntImmNode.html" title="Constant integer literals in the program. ">IntImmNode</a> </td></tr>
-<tr id="row_2_49_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1IntImmNode.html" target="_self">IntImmNode</a></td><td class="desc">Constant integer literals in the program </td></tr>
-<tr id="row_2_50_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1IRModule.html" target="_self">IRModule</a></td><td class="desc">Managed reference class to <a class="el" href="classtvm_1_1IRModuleNode.html" title="IRModule that holds functions and type definitions. ">IRModuleNode</a> </td></tr>
-<tr id="row_2_51_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1IRModuleNode.html" target="_self">IRModuleNode</a></td><td class="desc"><a class="el" href="classtvm_1_1IRModule.html" title="Managed reference class to IRModuleNode. ">IRModule</a> that holds functions and type definitions </td></tr>
-<tr id="row_2_52_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_52_" class="arrow" onclick="toggleFolder('2_52_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Map.html" target="_self">Map</a></td><td class="desc"><a class="el" href="classtvm_1_1Map.html" title="Map container of NodeRef->NodeRef in DSL graph. Map implements copy on write semantics, which means [...]
-<tr id="row_2_52_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Map_1_1iterator.html" target="_self">iterator</a></td><td class="desc">Iterator of the hash map </td></tr>
-<tr id="row_2_53_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_53_" class="arrow" onclick="toggleFolder('2_53_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1MapNode.html" target="_self">MapNode</a></td><td class="desc">Shared content of all specializations of hash map </td></tr>
-<tr id="row_2_53_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1MapNode_1_1iterator.html" target="_self">iterator</a></td><td class="desc"></td></tr>
-<tr id="row_2_54_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1MemoryInfo.html" target="_self">MemoryInfo</a></td><td class="desc">Defines memory info </td></tr>
-<tr id="row_2_55_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1MemoryInfoNode.html" target="_self">MemoryInfoNode</a></td><td class="desc">Memory information of special memory region. Use <a class="el" href="classtvm_1_1MemoryInfo.html" title="Defines memory info. ">MemoryInfo</a> as its container type </td></tr>
-<tr id="row_2_56_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1NodeFunctor.html" target="_self">NodeFunctor</a></td><td class="desc">A dynamically dispatched functor on the type of the first argument </td></tr>
-<tr id="row_2_57_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1NodeFunctor_3_01R_07const_01ObjectRef_01_6n_00_01Args_8_8_8_08_4.html" target="_self">NodeFunctor< R(const ObjectRef &n, Args...)></a></td><td class="desc"></td></tr>
-<tr id="row_2_58_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Op.html" target="_self">Op</a></td><td class="desc">Managed reference class to <a class="el" href="classtvm_1_1OpNode.html" title="Primitive Op(builtin intrinsics) ">OpNode</a> </td></tr>
-<tr id="row_2_59_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1OpAttrMap.html" target="_self">OpAttrMap</a></td><td class="desc">Map<Op,ValueType> used to store meta-information about <a class="el" href="classtvm_1_1Op.html" title="Managed reference class to OpNode. ">Op</a> </td></tr>
-<tr id="row_2_60_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1OpNode.html" target="_self">OpNode</a></td><td class="desc">Primitive Op(builtin intrinsics) </td></tr>
-<tr id="row_2_61_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1OpRegEntry.html" target="_self">OpRegEntry</a></td><td class="desc">Helper structure to register operators </td></tr>
-<tr id="row_2_62_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1PointerType.html" target="_self">PointerType</a></td><td class="desc"></td></tr>
-<tr id="row_2_63_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1PointerTypeNode.html" target="_self">PointerTypeNode</a></td><td class="desc">Low-level raw pointer type </td></tr>
-<tr id="row_2_64_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1PrimExpr.html" target="_self">PrimExpr</a></td><td class="desc">Reference to <a class="el" href="classtvm_1_1PrimExprNode.html" title="Base node of all primitive expressions. ">PrimExprNode</a> </td></tr>
-<tr id="row_2_65_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1PrimExprNode.html" target="_self">PrimExprNode</a></td><td class="desc">Base node of all primitive expressions </td></tr>
-<tr id="row_2_66_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1PrimType.html" target="_self">PrimType</a></td><td class="desc"></td></tr>
-<tr id="row_2_67_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1PrimTypeNode.html" target="_self">PrimTypeNode</a></td><td class="desc">Primitive data types used in the low-level IR </td></tr>
-<tr id="row_2_68_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Range.html" target="_self">Range</a></td><td class="desc"><a class="el" href="classtvm_1_1Range.html" title="Range constainer. ">Range</a> constainer </td></tr>
-<tr id="row_2_69_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1RangeNode.html" target="_self">RangeNode</a></td><td class="desc"><a class="el" href="classtvm_1_1Range.html" title="Range constainer. ">Range</a> over one dimension </td></tr>
-<tr id="row_2_70_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_70_" class="arrow" onclick="toggleFolder('2_70_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1ReflectionVTable.html" target="_self">ReflectionVTable</a></td><td class="desc">Virtual function table to support IR/AST node reflection </td></tr>
-<tr id="row_2_70_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1ReflectionVTable_1_1Registry.html" target="_self">Registry</a></td><td class="desc"><a class="el" href="classtvm_1_1ReflectionVTable_1_1Registry.html" title="Registry of a reflection table. ">Registry</a> of a reflection table </td></tr>
-<tr id="row_2_71_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1RelayExpr.html" target="_self">RelayExpr</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1RelayExprNode.html" title="Base node of all non-primitive expressions. ">RelayExprNode</a> </td></tr>
-<tr id="row_2_72_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1RelayExprNode.html" target="_self">RelayExprNode</a></td><td class="desc">Base node of all non-primitive expressions </td></tr>
-<tr id="row_2_73_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1RelayRefType.html" target="_self">RelayRefType</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1RelayRefTypeNode.html" title="Reference Type High-level Relay IR. ">RelayRefTypeNode</a> </td></tr>
-<tr id="row_2_74_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1RelayRefTypeNode.html" target="_self">RelayRefTypeNode</a></td><td class="desc">Reference <a class="el" href="classtvm_1_1Type.html" title="Managed reference to TypeNode. ">Type</a> High-level Relay IR </td></tr>
-<tr id="row_2_75_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1ReprPrinter.html" target="_self">ReprPrinter</a></td><td class="desc">A printer class to print the AST/IR nodes </td></tr>
-<tr id="row_2_76_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_76_" class="arrow" onclick="toggleFolder('2_76_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1SEqualReducer.html" target="_self">SEqualReducer</a></td><td class="desc">A Reducer class to reduce the structural equality result of two objects </td></tr>
-<tr id="row_2_76_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1SEqualReducer_1_1Handler.html" target="_self">Handler</a></td><td class="desc">Internal handler that defines custom behaviors. </td></tr>
-<tr id="row_2_77_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_77_" class="arrow" onclick="toggleFolder('2_77_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1SHashReducer.html" target="_self">SHashReducer</a></td><td class="desc">A Reducer class to reduce the structural hash value </td></tr>
-<tr id="row_2_77_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1SHashReducer_1_1Handler.html" target="_self">Handler</a></td><td class="desc">Internal handler that defines custom behaviors </td></tr>
-<tr id="row_2_78_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1SmallMapNode.html" target="_self">SmallMapNode</a></td><td class="desc">A specialization of small-sized hash map </td></tr>
-<tr id="row_2_79_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1SourceName.html" target="_self">SourceName</a></td><td class="desc">The source name of a file span </td></tr>
-<tr id="row_2_80_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1SourceNameNode.html" target="_self">SourceNameNode</a></td><td class="desc">The name of a source fragment </td></tr>
-<tr id="row_2_81_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Span.html" target="_self">Span</a></td><td class="desc"></td></tr>
-<tr id="row_2_82_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1SpanNode.html" target="_self">SpanNode</a></td><td class="desc">Stores locations in frontend source that generated a node </td></tr>
-<tr id="row_2_83_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1StructuralEqual.html" target="_self">StructuralEqual</a></td><td class="desc">Content-aware structural equality comparator for objects </td></tr>
-<tr id="row_2_84_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1StructuralHash.html" target="_self">StructuralHash</a></td><td class="desc">Content-aware structural hasing </td></tr>
-<tr id="row_2_85_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Target.html" target="_self">Target</a></td><td class="desc">Managed reference class to <a class="el" href="classtvm_1_1TargetNode.html" title="Compilation target. ">TargetNode</a> </td></tr>
-<tr id="row_2_86_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TargetId.html" target="_self">TargetId</a></td><td class="desc">Managed reference class to <a class="el" href="classtvm_1_1TargetIdNode.html" title="Target Id, specifies the kind of the target. ">TargetIdNode</a> </td></tr>
-<tr id="row_2_87_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TargetIdAttrMap.html" target="_self">TargetIdAttrMap</a></td><td class="desc">Map<TargetId, ValueType> used to store meta-information about <a class="el" href="classtvm_1_1TargetId.html" title="Managed reference class to TargetIdNode. ">TargetId</a> </td></tr>
-<tr id="row_2_88_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TargetIdNode.html" target="_self">TargetIdNode</a></td><td class="desc"><a class="el" href="classtvm_1_1Target.html" title="Managed reference class to TargetNode. ">Target</a> Id, specifies the kind of the target </td></tr>
-<tr id="row_2_89_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TargetIdRegEntry.html" target="_self">TargetIdRegEntry</a></td><td class="desc">Helper structure to register <a class="el" href="classtvm_1_1TargetId.html" title="Managed reference class to TargetIdNode. ">TargetId</a> </td></tr>
-<tr id="row_2_90_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TargetNode.html" target="_self">TargetNode</a></td><td class="desc">Compilation target </td></tr>
-<tr id="row_2_91_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TensorType.html" target="_self">TensorType</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1TensorTypeNode.html" title="This is the most commonly used type in relay. TensorType have a fixed dimension, data type...">TensorTypeNode</a> </td></tr>
-<tr id="row_2_92_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TensorTypeNode.html" target="_self">TensorTypeNode</a></td><td class="desc">This is the most commonly used type in relay. <a class="el" href="classtvm_1_1TensorType.html" title="Managed reference to TensorTypeNode. ">TensorType</a> have a fixed dimension, data type </td></tr>
-<tr id="row_2_93_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TupleType.html" target="_self">TupleType</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1TupleTypeNode.html" title="The type of tuple values. ">TupleTypeNode</a> </td></tr>
-<tr id="row_2_94_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TupleTypeNode.html" target="_self">TupleTypeNode</a></td><td class="desc">The type of tuple values </td></tr>
-<tr id="row_2_95_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Type.html" target="_self">Type</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1TypeNode.html" title="Type is the base type of all types. ">TypeNode</a> </td></tr>
-<tr id="row_2_96_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeCall.html" target="_self">TypeCall</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1TypeCallNode.html" title="Type function application. ">TypeCallNode</a> </td></tr>
-<tr id="row_2_97_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeCallNode.html" target="_self">TypeCallNode</a></td><td class="desc"><a class="el" href="classtvm_1_1Type.html" title="Managed reference to TypeNode. ">Type</a> function application </td></tr>
-<tr id="row_2_98_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeConstraint.html" target="_self">TypeConstraint</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1TypeConstraintNode.html" title="Potential Constraints in a function. ">TypeConstraintNode</a> </td></tr>
-<tr id="row_2_99_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeConstraintNode.html" target="_self">TypeConstraintNode</a></td><td class="desc">Potential Constraints in a function </td></tr>
-<tr id="row_2_100_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeData.html" target="_self">TypeData</a></td><td class="desc">Stores all data for an Algebraic Data <a class="el" href="classtvm_1_1Type.html" title="Managed reference to TypeNode. ">Type</a> (ADT) </td></tr>
-<tr id="row_2_101_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeDataNode.html" target="_self">TypeDataNode</a></td><td class="desc"><a class="el" href="classtvm_1_1TypeData.html" title="Stores all data for an Algebraic Data Type (ADT). ">TypeData</a> container node </td></tr>
-<tr id="row_2_102_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypedEnvFunc.html" target="_self">TypedEnvFunc</a></td><td class="desc">Please refer to <a class="el" href="classtvm_1_1TypedEnvFunc_3_01R_07Args_8_8_8_08_4.html#TypedEnvFuncAnchor">TypedEnvFunc<R(Args..)></a> </td></tr>
-<tr id="row_2_103_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypedEnvFunc_3_01R_07Args_8_8_8_08_4.html" target="_self">TypedEnvFunc< R(Args...)></a></td><td class="desc">A typed version of <a class="el" href="classtvm_1_1EnvFunc.html" title="Managed reference to EnvFuncNode. ">EnvFunc</a>. It is backed by a GlobalFuncNode internally </td></tr>
-<tr id="row_2_104_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeFunctor.html" target="_self">TypeFunctor</a></td><td class="desc"></td></tr>
-<tr id="row_2_105_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeFunctor_3_01R_07const_01Type_01_6n_00_01Args_8_8_8_08_4.html" target="_self">TypeFunctor< R(const Type &n, Args...)></a></td><td class="desc"></td></tr>
-<tr id="row_2_106_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeMutator.html" target="_self">TypeMutator</a></td><td class="desc"><a class="el" href="classtvm_1_1TypeMutator.html" title="TypeMutator that mutates expressions. ">TypeMutator</a> that mutates expressions </td></tr>
-<tr id="row_2_107_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeNode.html" target="_self">TypeNode</a></td><td class="desc"><a class="el" href="classtvm_1_1Type.html" title="Managed reference to TypeNode. ">Type</a> is the base type of all types </td></tr>
-<tr id="row_2_108_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeRelation.html" target="_self">TypeRelation</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1TypeRelationNode.html" title="User defined type relation, it is an input-output relation on types. ">TypeRelationNode</a> </td></tr>
-<tr id="row_2_109_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeRelationNode.html" target="_self">TypeRelationNode</a></td><td class="desc">User defined type relation, it is an input-output relation on types </td></tr>
-<tr id="row_2_110_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeReporter.html" target="_self">TypeReporter</a></td><td class="desc">Container class of <a class="el" href="classtvm_1_1TypeReporter.html" title="Container class of TypeReporter. ">TypeReporter</a> </td></tr>
-<tr id="row_2_111_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeReporterNode.html" target="_self">TypeReporterNode</a></td><td class="desc">Reporter that reports back to the type resolution information </td></tr>
-<tr id="row_2_112_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeVar.html" target="_self">TypeVar</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1TypeVarNode.html" title="Type parameter in functions. ">TypeVarNode</a> </td></tr>
-<tr id="row_2_113_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeVarNode.html" target="_self">TypeVarNode</a></td><td class="desc"><a class="el" href="classtvm_1_1Type.html" title="Managed reference to TypeNode. ">Type</a> parameter in functions </td></tr>
-<tr id="row_2_114_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeVisitor.html" target="_self">TypeVisitor</a></td><td class="desc">A type visitor that recursively visit types </td></tr>
-<tr id="row_2_115_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1With.html" target="_self">With</a></td><td class="desc">RAII wrapper function to enter and exit a context object similar to python's with syntax </td></tr>
+<tr id="row_2_6_122_" style="display:none;"><td class="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_2_6_123_" style="display:none;"><td class="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_2_7_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_7_" class="arrow" onclick="toggleFolder('2_7_')">►</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_2_7_0_" style="display:none;"><td class="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>
+<tr id="row_2_7_1_" style="display:none;"><td class="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_1PassContext.html" target="_self">PassContext</a></td><td class="desc"><a class="el" href="classtvm_1_1transform_1_1PassContext.html" title="PassContext that is used to configure the pass behavior. ">PassContext</a> that is used to configure the pass behavior </td></tr>
+<tr id="row_2_7_2_" style="display:none;"><td class="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_1PassContextNode.html" target="_self">PassContextNode</a></td><td class="desc"><a class="el" href="classtvm_1_1transform_1_1PassContextNode.html" title="PassContextNode contains the information that a pass can rely on, such as analysis results...">PassContextNode</a> contai [...]
+<tr id="row_2_7_3_" style="display:none;"><td class="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_1PassInfo.html" target="_self">PassInfo</a></td><td class="desc"></td></tr>
+<tr id="row_2_7_4_" style="display:none;"><td class="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_1PassInfoNode.html" target="_self">PassInfoNode</a></td><td class="desc">Meta data that will be used to help optimization and analysis </td></tr>
+<tr id="row_2_7_5_" style="display:none;"><td class="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_1PassNode.html" target="_self">PassNode</a></td><td class="desc"><a class="el" href="classtvm_1_1transform_1_1PassNode.html" title="PassNode is the base type of differnt types of optimization passes. It is designed as a pure class an...">PassNode</a> is the base type of dif [...]
+<tr id="row_2_7_6_" style="display:none;"><td class="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_1Sequential.html" target="_self">Sequential</a></td><td class="desc"></td></tr>
+<tr id="row_2_8_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1AttrError.html" target="_self">AttrError</a></td><td class="desc"><a class="el" href="classtvm_1_1Error.html" title="Custom Error class to be thrown during compilation. ">Error</a> thrown during attribute checking </td></tr>
+<tr id="row_2_9_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1AttrFieldInfo.html" target="_self">AttrFieldInfo</a></td><td class="desc"><a class="el" href="classtvm_1_1AttrFieldInfo.html" title="AttrFieldInfo. ">AttrFieldInfo</a> </td></tr>
+<tr id="row_2_10_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1AttrFieldInfoNode.html" target="_self">AttrFieldInfoNode</a></td><td class="desc">Information about attribute fields in string representations </td></tr>
+<tr id="row_2_11_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1AttrRegistryMap.html" target="_self">AttrRegistryMap</a></td><td class="desc">Map<Key, ValueType> used to store meta-data </td></tr>
+<tr id="row_2_12_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1AttrRegistryMapContainerMap.html" target="_self">AttrRegistryMapContainerMap</a></td><td class="desc">Generic attribute map </td></tr>
+<tr id="row_2_13_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Attrs.html" target="_self">Attrs</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1BaseAttrsNode.html" title="Base class of all attribute class. ">BaseAttrsNode</a> </td></tr>
+<tr id="row_2_14_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1AttrsNode.html" target="_self">AttrsNode</a></td><td class="desc">The base class of the all the Use "curiously recurring template pattern" </td></tr>
+<tr id="row_2_15_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1AttrVisitor.html" target="_self">AttrVisitor</a></td><td class="desc">Visitor class for to get the attributesof a AST/IR node. The content is going to be called for each field </td></tr>
+<tr id="row_2_16_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseAttrsNode.html" target="_self">BaseAttrsNode</a></td><td class="desc">Base class of all attribute class </td></tr>
+<tr id="row_2_17_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseExpr.html" target="_self">BaseExpr</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1BaseExprNode.html" title="Base type of all the expressions. ">BaseExprNode</a> </td></tr>
+<tr id="row_2_18_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseExprNode.html" target="_self">BaseExprNode</a></td><td class="desc">Base type of all the expressions </td></tr>
+<tr id="row_2_19_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseFunc.html" target="_self">BaseFunc</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1BaseFuncNode.html" title="Base node of all functions. ">BaseFuncNode</a> </td></tr>
+<tr id="row_2_20_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseFuncNode.html" target="_self">BaseFuncNode</a></td><td class="desc">Base node of all functions </td></tr>
+<tr id="row_2_21_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseTensorType.html" target="_self">BaseTensorType</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1BaseTensorTypeNode.html" title="Base of all Tensor types This container can hold TensorType or GenericTensorType. ...">BaseTensorTypeNode</a> </td></tr>
+<tr id="row_2_22_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseTensorTypeNode.html" target="_self">BaseTensorTypeNode</a></td><td class="desc">Base of all Tensor types This container can hold <a class="el" href="classtvm_1_1TensorType.html" title="Managed reference to TensorTypeNode. ">TensorType</a> or GenericTensorType </td></tr>
+<tr id="row_2_23_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseValueEqual.html" target="_self">BaseValueEqual</a></td><td class="desc">Equality definition of base value class </td></tr>
+<tr id="row_2_24_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1BaseValueHash.html" target="_self">BaseValueHash</a></td><td class="desc">Hash definition of base value classes </td></tr>
+<tr id="row_2_25_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Bool.html" target="_self">Bool</a></td><td class="desc">Boolean constant </td></tr>
+<tr id="row_2_26_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Constructor.html" target="_self">Constructor</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1ConstructorNode.html" title="ADT constructor. Constructors compare by pointer equality. ">ConstructorNode</a> </td></tr>
+<tr id="row_2_27_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1ConstructorNode.html" target="_self">ConstructorNode</a></td><td class="desc">ADT constructor. Constructors compare by pointer equality </td></tr>
+<tr id="row_2_28_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1DenseMapNode.html" target="_self">DenseMapNode</a></td><td class="desc">A specialization of hash map that implements the idea of array-based hash map. Another reference implementation can be found [1] </td></tr>
+<tr id="row_2_29_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1DictAttrs.html" target="_self">DictAttrs</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1DictAttrsNode.html" title="Specialized attribute type that is backed by a map. The DictAttrsNode implements the Attrs behavior...">DictAttrsNode</a> </td></tr>
+<tr id="row_2_30_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1DictAttrsNode.html" target="_self">DictAttrsNode</a></td><td class="desc">Specialized attribute type that is backed by a map. The <a class="el" href="classtvm_1_1DictAttrsNode.html" title="Specialized attribute type that is backed by a map. The DictAttrsNode implements the Attrs behavio [...]
+<tr id="row_2_31_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1EnvFunc.html" target="_self">EnvFunc</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1EnvFuncNode.html" title="A serializable function backed by TVM's global environment. ">EnvFuncNode</a> </td></tr>
+<tr id="row_2_32_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1EnvFuncNode.html" target="_self">EnvFuncNode</a></td><td class="desc">A serializable function backed by TVM's global environment </td></tr>
+<tr id="row_2_33_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Error.html" target="_self">Error</a></td><td class="desc">Custom <a class="el" href="classtvm_1_1Error.html" title="Custom Error class to be thrown during compilation. ">Error</a> class to be thrown during compilation </td></tr>
+<tr id="row_2_34_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtvm_1_1ErrorBuilder.html" target="_self">ErrorBuilder</a></td><td class="desc">A wrapper around std::stringstream to build error </td></tr>
+<tr id="row_2_35_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1ErrorReporter.html" target="_self">ErrorReporter</a></td><td class="desc">An abstraction around how errors are stored and reported. Designed to be opaque to users, so we can support a robust and simpler error reporting mode, as well as a more complex mode </td></tr>
+<tr id="row_2_36_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1FloatImm.html" target="_self">FloatImm</a></td><td class="desc">Managed reference class to <a class="el" href="classtvm_1_1FloatImmNode.html" title="Constant floating point literals in the program. ">FloatImmNode</a> </td></tr>
+<tr id="row_2_37_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1FloatImmNode.html" target="_self">FloatImmNode</a></td><td class="desc">Constant floating point literals in the program </td></tr>
+<tr id="row_2_38_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1FuncType.html" target="_self">FuncType</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1FuncTypeNode.html" title="Function type. ">FuncTypeNode</a> </td></tr>
+<tr id="row_2_39_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1FuncTypeNode.html" target="_self">FuncTypeNode</a></td><td class="desc">Function type </td></tr>
+<tr id="row_2_40_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1GenericFunc.html" target="_self">GenericFunc</a></td><td class="desc">Generic function that can be specialized on a per-target basis </td></tr>
+<tr id="row_2_41_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1GenericFuncNode.html" target="_self">GenericFuncNode</a></td><td class="desc">Represents a generic function that can be specialized on a per-target basis </td></tr>
+<tr id="row_2_42_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1GlobalTypeVar.html" target="_self">GlobalTypeVar</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1GlobalTypeVarNode.html" title="A global type variable that is used for defining new types or type aliases. ">GlobalTypeVarNode</a> </td></tr>
+<tr id="row_2_43_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1GlobalTypeVarNode.html" target="_self">GlobalTypeVarNode</a></td><td class="desc">A global type variable that is used for defining new types or type aliases </td></tr>
+<tr id="row_2_44_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1GlobalVar.html" target="_self">GlobalVar</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1GlobalVarNode.html" title="Global variable that lives in the top-level module. ">GlobalVarNode</a> </td></tr>
+<tr id="row_2_45_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1GlobalVarNode.html" target="_self">GlobalVarNode</a></td><td class="desc">Global variable that lives in the top-level module </td></tr>
+<tr id="row_2_46_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1IncompleteType.html" target="_self">IncompleteType</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1IncompleteTypeNode.html" title="Intermediate values that is used to indicate incomplete type during type inference. ">IncompleteTypeNode</a> </td></tr>
+<tr id="row_2_47_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1IncompleteTypeNode.html" target="_self">IncompleteTypeNode</a></td><td class="desc">Intermediate values that is used to indicate incomplete type during type inference </td></tr>
+<tr id="row_2_48_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Integer.html" target="_self">Integer</a></td><td class="desc">Container of constant int that adds more constructors </td></tr>
+<tr id="row_2_49_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1IntImm.html" target="_self">IntImm</a></td><td class="desc">Managed reference class to <a class="el" href="classtvm_1_1IntImmNode.html" title="Constant integer literals in the program. ">IntImmNode</a> </td></tr>
+<tr id="row_2_50_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1IntImmNode.html" target="_self">IntImmNode</a></td><td class="desc">Constant integer literals in the program </td></tr>
+<tr id="row_2_51_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1IRModule.html" target="_self">IRModule</a></td><td class="desc">Managed reference class to <a class="el" href="classtvm_1_1IRModuleNode.html" title="IRModule that holds functions and type definitions. ">IRModuleNode</a> </td></tr>
+<tr id="row_2_52_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1IRModuleNode.html" target="_self">IRModuleNode</a></td><td class="desc"><a class="el" href="classtvm_1_1IRModule.html" title="Managed reference class to IRModuleNode. ">IRModule</a> that holds functions and type definitions </td></tr>
+<tr id="row_2_53_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_53_" class="arrow" onclick="toggleFolder('2_53_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Map.html" target="_self">Map</a></td><td class="desc"><a class="el" href="classtvm_1_1Map.html" title="Map container of NodeRef->NodeRef in DSL graph. Map implements copy on write semantics, which means [...]
+<tr id="row_2_53_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Map_1_1iterator.html" target="_self">iterator</a></td><td class="desc">Iterator of the hash map </td></tr>
+<tr id="row_2_54_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_54_" class="arrow" onclick="toggleFolder('2_54_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1MapNode.html" target="_self">MapNode</a></td><td class="desc">Shared content of all specializations of hash map </td></tr>
+<tr id="row_2_54_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1MapNode_1_1iterator.html" target="_self">iterator</a></td><td class="desc"></td></tr>
+<tr id="row_2_55_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1MemoryInfo.html" target="_self">MemoryInfo</a></td><td class="desc">Defines memory info </td></tr>
+<tr id="row_2_56_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1MemoryInfoNode.html" target="_self">MemoryInfoNode</a></td><td class="desc">Memory information of special memory region. Use <a class="el" href="classtvm_1_1MemoryInfo.html" title="Defines memory info. ">MemoryInfo</a> as its container type </td></tr>
+<tr id="row_2_57_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1NodeFunctor.html" target="_self">NodeFunctor</a></td><td class="desc">A dynamically dispatched functor on the type of the first argument </td></tr>
+<tr id="row_2_58_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1NodeFunctor_3_01R_07const_01ObjectRef_01_6n_00_01Args_8_8_8_08_4.html" target="_self">NodeFunctor< R(const ObjectRef &n, Args...)></a></td><td class="desc"></td></tr>
+<tr id="row_2_59_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Op.html" target="_self">Op</a></td><td class="desc">Managed reference class to <a class="el" href="classtvm_1_1OpNode.html" title="Primitive Op(builtin intrinsics) ">OpNode</a> </td></tr>
+<tr id="row_2_60_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1OpAttrMap.html" target="_self">OpAttrMap</a></td><td class="desc">Map<Op,ValueType> used to store meta-information about <a class="el" href="classtvm_1_1Op.html" title="Managed reference class to OpNode. ">Op</a> </td></tr>
+<tr id="row_2_61_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1OpNode.html" target="_self">OpNode</a></td><td class="desc">Primitive Op(builtin intrinsics) </td></tr>
+<tr id="row_2_62_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1OpRegEntry.html" target="_self">OpRegEntry</a></td><td class="desc">Helper structure to register operators </td></tr>
+<tr id="row_2_63_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1PointerType.html" target="_self">PointerType</a></td><td class="desc"></td></tr>
+<tr id="row_2_64_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1PointerTypeNode.html" target="_self">PointerTypeNode</a></td><td class="desc">Low-level raw pointer type </td></tr>
+<tr id="row_2_65_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1PrimExpr.html" target="_self">PrimExpr</a></td><td class="desc">Reference to <a class="el" href="classtvm_1_1PrimExprNode.html" title="Base node of all primitive expressions. ">PrimExprNode</a> </td></tr>
+<tr id="row_2_66_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1PrimExprNode.html" target="_self">PrimExprNode</a></td><td class="desc">Base node of all primitive expressions </td></tr>
+<tr id="row_2_67_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1PrimType.html" target="_self">PrimType</a></td><td class="desc"></td></tr>
+<tr id="row_2_68_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1PrimTypeNode.html" target="_self">PrimTypeNode</a></td><td class="desc">Primitive data types used in the low-level IR </td></tr>
+<tr id="row_2_69_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Range.html" target="_self">Range</a></td><td class="desc"><a class="el" href="classtvm_1_1Range.html" title="Range constainer. ">Range</a> constainer </td></tr>
+<tr id="row_2_70_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1RangeNode.html" target="_self">RangeNode</a></td><td class="desc"><a class="el" href="classtvm_1_1Range.html" title="Range constainer. ">Range</a> over one dimension </td></tr>
+<tr id="row_2_71_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_71_" class="arrow" onclick="toggleFolder('2_71_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1ReflectionVTable.html" target="_self">ReflectionVTable</a></td><td class="desc">Virtual function table to support IR/AST node reflection </td></tr>
+<tr id="row_2_71_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1ReflectionVTable_1_1Registry.html" target="_self">Registry</a></td><td class="desc"><a class="el" href="classtvm_1_1ReflectionVTable_1_1Registry.html" title="Registry of a reflection table. ">Registry</a> of a reflection table </td></tr>
+<tr id="row_2_72_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1RelayExpr.html" target="_self">RelayExpr</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1RelayExprNode.html" title="Base node of all non-primitive expressions. ">RelayExprNode</a> </td></tr>
+<tr id="row_2_73_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1RelayExprNode.html" target="_self">RelayExprNode</a></td><td class="desc">Base node of all non-primitive expressions </td></tr>
+<tr id="row_2_74_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1RelayRefType.html" target="_self">RelayRefType</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1RelayRefTypeNode.html" title="Reference Type High-level Relay IR. ">RelayRefTypeNode</a> </td></tr>
+<tr id="row_2_75_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1RelayRefTypeNode.html" target="_self">RelayRefTypeNode</a></td><td class="desc">Reference <a class="el" href="classtvm_1_1Type.html" title="Managed reference to TypeNode. ">Type</a> High-level Relay IR </td></tr>
+<tr id="row_2_76_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1ReprPrinter.html" target="_self">ReprPrinter</a></td><td class="desc">A printer class to print the AST/IR nodes </td></tr>
+<tr id="row_2_77_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_77_" class="arrow" onclick="toggleFolder('2_77_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1SEqualReducer.html" target="_self">SEqualReducer</a></td><td class="desc">A Reducer class to reduce the structural equality result of two objects </td></tr>
+<tr id="row_2_77_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1SEqualReducer_1_1Handler.html" target="_self">Handler</a></td><td class="desc">Internal handler that defines custom behaviors. </td></tr>
+<tr id="row_2_78_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_78_" class="arrow" onclick="toggleFolder('2_78_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1SHashReducer.html" target="_self">SHashReducer</a></td><td class="desc">A Reducer class to reduce the structural hash value </td></tr>
+<tr id="row_2_78_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1SHashReducer_1_1Handler.html" target="_self">Handler</a></td><td class="desc">Internal handler that defines custom behaviors </td></tr>
+<tr id="row_2_79_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1SmallMapNode.html" target="_self">SmallMapNode</a></td><td class="desc">A specialization of small-sized hash map </td></tr>
+<tr id="row_2_80_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1SourceName.html" target="_self">SourceName</a></td><td class="desc">The source name of a file span </td></tr>
+<tr id="row_2_81_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1SourceNameNode.html" target="_self">SourceNameNode</a></td><td class="desc">The name of a source fragment </td></tr>
+<tr id="row_2_82_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Span.html" target="_self">Span</a></td><td class="desc"></td></tr>
+<tr id="row_2_83_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1SpanNode.html" target="_self">SpanNode</a></td><td class="desc">Stores locations in frontend source that generated a node </td></tr>
+<tr id="row_2_84_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1StructuralEqual.html" target="_self">StructuralEqual</a></td><td class="desc">Content-aware structural equality comparator for objects </td></tr>
+<tr id="row_2_85_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1StructuralHash.html" target="_self">StructuralHash</a></td><td class="desc">Content-aware structural hasing </td></tr>
+<tr id="row_2_86_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Target.html" target="_self">Target</a></td><td class="desc">Managed reference class to <a class="el" href="classtvm_1_1TargetNode.html" title="Compilation target. ">TargetNode</a> </td></tr>
+<tr id="row_2_87_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TargetId.html" target="_self">TargetId</a></td><td class="desc">Managed reference class to <a class="el" href="classtvm_1_1TargetIdNode.html" title="Target Id, specifies the kind of the target. ">TargetIdNode</a> </td></tr>
+<tr id="row_2_88_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TargetIdAttrMap.html" target="_self">TargetIdAttrMap</a></td><td class="desc">Map<TargetId, ValueType> used to store meta-information about <a class="el" href="classtvm_1_1TargetId.html" title="Managed reference class to TargetIdNode. ">TargetId</a> </td></tr>
+<tr id="row_2_89_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TargetIdNode.html" target="_self">TargetIdNode</a></td><td class="desc"><a class="el" href="classtvm_1_1Target.html" title="Managed reference class to TargetNode. ">Target</a> Id, specifies the kind of the target </td></tr>
+<tr id="row_2_90_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TargetIdRegEntry.html" target="_self">TargetIdRegEntry</a></td><td class="desc">Helper structure to register <a class="el" href="classtvm_1_1TargetId.html" title="Managed reference class to TargetIdNode. ">TargetId</a> </td></tr>
+<tr id="row_2_91_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TargetNode.html" target="_self">TargetNode</a></td><td class="desc">Compilation target </td></tr>
+<tr id="row_2_92_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TensorType.html" target="_self">TensorType</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1TensorTypeNode.html" title="This is the most commonly used type in relay. TensorType have a fixed dimension, data type...">TensorTypeNode</a> </td></tr>
+<tr id="row_2_93_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TensorTypeNode.html" target="_self">TensorTypeNode</a></td><td class="desc">This is the most commonly used type in relay. <a class="el" href="classtvm_1_1TensorType.html" title="Managed reference to TensorTypeNode. ">TensorType</a> have a fixed dimension, data type </td></tr>
+<tr id="row_2_94_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TupleType.html" target="_self">TupleType</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1TupleTypeNode.html" title="The type of tuple values. ">TupleTypeNode</a> </td></tr>
+<tr id="row_2_95_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TupleTypeNode.html" target="_self">TupleTypeNode</a></td><td class="desc">The type of tuple values </td></tr>
+<tr id="row_2_96_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1Type.html" target="_self">Type</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1TypeNode.html" title="Type is the base type of all types. ">TypeNode</a> </td></tr>
+<tr id="row_2_97_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeCall.html" target="_self">TypeCall</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1TypeCallNode.html" title="Type function application. ">TypeCallNode</a> </td></tr>
+<tr id="row_2_98_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeCallNode.html" target="_self">TypeCallNode</a></td><td class="desc"><a class="el" href="classtvm_1_1Type.html" title="Managed reference to TypeNode. ">Type</a> function application </td></tr>
+<tr id="row_2_99_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeConstraint.html" target="_self">TypeConstraint</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1TypeConstraintNode.html" title="Potential Constraints in a function. ">TypeConstraintNode</a> </td></tr>
+<tr id="row_2_100_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeConstraintNode.html" target="_self">TypeConstraintNode</a></td><td class="desc">Potential Constraints in a function </td></tr>
+<tr id="row_2_101_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeData.html" target="_self">TypeData</a></td><td class="desc">Stores all data for an Algebraic Data <a class="el" href="classtvm_1_1Type.html" title="Managed reference to TypeNode. ">Type</a> (ADT) </td></tr>
+<tr id="row_2_102_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeDataNode.html" target="_self">TypeDataNode</a></td><td class="desc"><a class="el" href="classtvm_1_1TypeData.html" title="Stores all data for an Algebraic Data Type (ADT). ">TypeData</a> container node </td></tr>
+<tr id="row_2_103_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypedEnvFunc.html" target="_self">TypedEnvFunc</a></td><td class="desc">Please refer to <a class="el" href="classtvm_1_1TypedEnvFunc_3_01R_07Args_8_8_8_08_4.html#TypedEnvFuncAnchor">TypedEnvFunc<R(Args..)></a> </td></tr>
+<tr id="row_2_104_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypedEnvFunc_3_01R_07Args_8_8_8_08_4.html" target="_self">TypedEnvFunc< R(Args...)></a></td><td class="desc">A typed version of <a class="el" href="classtvm_1_1EnvFunc.html" title="Managed reference to EnvFuncNode. ">EnvFunc</a>. It is backed by a GlobalFuncNode internally </td></tr>
+<tr id="row_2_105_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeFunctor.html" target="_self">TypeFunctor</a></td><td class="desc"></td></tr>
+<tr id="row_2_106_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeFunctor_3_01R_07const_01Type_01_6n_00_01Args_8_8_8_08_4.html" target="_self">TypeFunctor< R(const Type &n, Args...)></a></td><td class="desc"></td></tr>
+<tr id="row_2_107_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeMutator.html" target="_self">TypeMutator</a></td><td class="desc"><a class="el" href="classtvm_1_1TypeMutator.html" title="TypeMutator that mutates expressions. ">TypeMutator</a> that mutates expressions </td></tr>
+<tr id="row_2_108_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeNode.html" target="_self">TypeNode</a></td><td class="desc"><a class="el" href="classtvm_1_1Type.html" title="Managed reference to TypeNode. ">Type</a> is the base type of all types </td></tr>
+<tr id="row_2_109_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeRelation.html" target="_self">TypeRelation</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1TypeRelationNode.html" title="User defined type relation, it is an input-output relation on types. ">TypeRelationNode</a> </td></tr>
+<tr id="row_2_110_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeRelationNode.html" target="_self">TypeRelationNode</a></td><td class="desc">User defined type relation, it is an input-output relation on types </td></tr>
+<tr id="row_2_111_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeReporter.html" target="_self">TypeReporter</a></td><td class="desc">Container class of <a class="el" href="classtvm_1_1TypeReporter.html" title="Container class of TypeReporter. ">TypeReporter</a> </td></tr>
+<tr id="row_2_112_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeReporterNode.html" target="_self">TypeReporterNode</a></td><td class="desc">Reporter that reports back to the type resolution information </td></tr>
+<tr id="row_2_113_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeVar.html" target="_self">TypeVar</a></td><td class="desc">Managed reference to <a class="el" href="classtvm_1_1TypeVarNode.html" title="Type parameter in functions. ">TypeVarNode</a> </td></tr>
+<tr id="row_2_114_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeVarNode.html" target="_self">TypeVarNode</a></td><td class="desc"><a class="el" href="classtvm_1_1Type.html" title="Managed reference to TypeNode. ">Type</a> parameter in functions </td></tr>
+<tr id="row_2_115_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1TypeVisitor.html" target="_self">TypeVisitor</a></td><td class="desc">A type visitor that recursively visit types </td></tr>
+<tr id="row_2_116_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classtvm_1_1With.html" target="_self">With</a></td><td class="desc">RAII wrapper function to enter and exit a context object similar to python's with syntax </td></tr>
<tr id="row_3_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structTVMArgs.html" target="_self">TVMArgs</a></td><td class="desc"></td></tr>
<tr id="row_4_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structTVMByteArray.html" target="_self">TVMByteArray</a></td><td class="desc">Byte array type used to pass in byte array When kTVMBytes is used as data type </td></tr>
<tr id="row_5_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structTVMFuncRegistry.html" target="_self">TVMFuncRegistry</a></td><td class="desc">A data structure that facilitates function lookup by C-string name </td></tr>
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index 31d694a..e079f5e 100644
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@@ -107,7 +107,7 @@ Include dependency graph for attr_registry_map.h:</div>
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+<p>The user interface of the auto scheduler.
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+<code>#include <<a class="el" href="search__policy_8h_source.html">tvm/auto_scheduler/search_policy.h</a>></code><br />
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+<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Tuning and measurement options. <a href="classtvm_1_1auto__scheduler_1_1TuningOptionsNode.html#details">More...</a><br /></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1auto__scheduler_1_1TuningOptions.html">tvm::auto_scheduler::TuningOptions</a></td></tr>
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+<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:namespacetvm_1_1auto__scheduler"><td class="memItemLeft" align="right" valign="top">  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetvm_1_1auto__scheduler.html">tvm::auto_scheduler</a></td></tr>
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+<tr class="memitem:a7d8ee089905d95fe01bb6c513f429ac0"><td class="memItemLeft" align="right" valign="top">std::pair< te::Schedule, Array< te::Tensor > > </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetvm_1_1auto__scheduler.html#a7d8ee089905d95fe01bb6c513f429ac0">tvm::auto_scheduler::AutoSchedule</a> (SearchTask task, SearchPolicy search_policy, TuningOptions tuning_options)</td></tr>
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+<div class="title">auto_schedule.h</div> </div>
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+<div class="contents">
+<a href="auto__schedule_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Licensed to the Apache Software Foundation (ASF) under one</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> * or m [...]
+<div class="ttc" id="classtvm_1_1auto__scheduler_1_1TuningOptionsNode_html_a4b1cbc19fcc80c2564b24c56f6cf9504"><div class="ttname"><a href="classtvm_1_1auto__scheduler_1_1TuningOptionsNode.html#a4b1cbc19fcc80c2564b24c56f6cf9504">tvm::auto_scheduler::TuningOptionsNode::early_stopping</a></div><div class="ttdeci">int early_stopping</div><div class="ttdoc">Stops the tuning early if no improvement after n measurements. </div><div class="ttdef"><b>Definition:</b> auto_schedule.h:42</div></div>
+<div class="ttc" id="classtvm_1_1auto__scheduler_1_1TuningOptionsNode_html_a55c7823a36ec7ee5670ef8ad8c21a5be"><div class="ttname"><a href="classtvm_1_1auto__scheduler_1_1TuningOptionsNode.html#a55c7823a36ec7ee5670ef8ad8c21a5be">tvm::auto_scheduler::TuningOptionsNode::builder</a></div><div class="ttdeci">ProgramBuilder builder</div><div class="ttdoc">ProgramBuilder which builds the program. </div><div class="ttdef"><b>Definition:</b> auto_schedule.h:51</div></div>
+<div class="ttc" id="namespacetvm_html"><div class="ttname"><a href="namespacetvm.html">tvm</a></div><div class="ttdef"><b>Definition:</b> analyzer.h:36</div></div>
+<div class="ttc" id="classtvm_1_1auto__scheduler_1_1TuningOptionsNode_html_ab5804969081fc4f1e1330b3e55da692f"><div class="ttname"><a href="classtvm_1_1auto__scheduler_1_1TuningOptionsNode.html#ab5804969081fc4f1e1330b3e55da692f">tvm::auto_scheduler::TuningOptionsNode::verbose</a></div><div class="ttdeci">int verbose</div><div class="ttdoc">Verbosity level. 0 for silent, 1 to output information during schedule searching. ...</div><div class="ttdef"><b>Definition:</b> auto_schedule.h:49</di [...]
+<div class="ttc" id="classtvm_1_1auto__scheduler_1_1TuningOptionsNode_html_a60515c17b530f5c8b806930469bdd22c"><div class="ttname"><a href="classtvm_1_1auto__scheduler_1_1TuningOptionsNode.html#a60515c17b530f5c8b806930469bdd22c">tvm::auto_scheduler::TuningOptionsNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(tvm::AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> auto_schedule.h:59</div></div>
+<div class="ttc" id="classtvm_1_1auto__scheduler_1_1TuningOptionsNode_html"><div class="ttname"><a href="classtvm_1_1auto__scheduler_1_1TuningOptionsNode.html">tvm::auto_scheduler::TuningOptionsNode</a></div><div class="ttdoc">Tuning and measurement options. </div><div class="ttdef"><b>Definition:</b> auto_schedule.h:37</div></div>
+<div class="ttc" id="classtvm_1_1auto__scheduler_1_1TuningOptionsNode_html_a64abc6eeb90309a01a0a9d415aaf26f4"><div class="ttname"><a href="classtvm_1_1auto__scheduler_1_1TuningOptionsNode.html#a64abc6eeb90309a01a0a9d415aaf26f4">tvm::auto_scheduler::TuningOptionsNode::TVM_DECLARE_FINAL_OBJECT_INFO</a></div><div class="ttdeci">TVM_DECLARE_FINAL_OBJECT_INFO(TuningOptionsNode, Object)</div></div>
+<div class="ttc" id="classtvm_1_1auto__scheduler_1_1ProgramRunner_html"><div class="ttname"><a href="classtvm_1_1auto__scheduler_1_1ProgramRunner.html">tvm::auto_scheduler::ProgramRunner</a></div><div class="ttdoc">Managed reference to ProgramRunnerNode. </div><div class="ttdef"><b>Definition:</b> measure.h:299</div></div>
+<div class="ttc" id="classtvm_1_1AttrVisitor_html"><div class="ttname"><a href="classtvm_1_1AttrVisitor.html">tvm::AttrVisitor</a></div><div class="ttdoc">Visitor class for to get the attributesof a AST/IR node. The content is going to be called for each f...</div><div class="ttdef"><b>Definition:</b> reflection.h:52</div></div>
+<div class="ttc" id="classtvm_1_1auto__scheduler_1_1TuningOptionsNode_html_ade4f4a9a5dda968e8a81a43c8d8b597e"><div class="ttname"><a href="classtvm_1_1auto__scheduler_1_1TuningOptionsNode.html#ade4f4a9a5dda968e8a81a43c8d8b597e">tvm::auto_scheduler::TuningOptionsNode::_type_key</a></div><div class="ttdeci">static constexpr const char * _type_key</div><div class="ttdef"><b>Definition:</b> auto_schedule.h:70</div></div>
+<div class="ttc" id="classtvm_1_1auto__scheduler_1_1TuningOptionsNode_html_a9c722aa913bb8a2187cf0d40ae7bfb04"><div class="ttname"><a href="classtvm_1_1auto__scheduler_1_1TuningOptionsNode.html#a9c722aa913bb8a2187cf0d40ae7bfb04">tvm::auto_scheduler::TuningOptionsNode::pre_search_callbacks</a></div><div class="ttdeci">Optional< Array< SearchCallback > > pre_search_callbacks</div><div class="ttdoc">SearchCallback functions to be called before schedule search. </div><div class="t [...]
+<div class="ttc" id="measure_8h_html"><div class="ttname"><a href="measure_8h.html">measure.h</a></div><div class="ttdoc">Distributed measurement infrastructure to measure the runtime costs of tensor programs. These functions are responsible for building the tvm module, uploading it to remote devices, recording the running time costs, and checking the correctness of the output. </div></div>
+<div class="ttc" id="object_8h_html_ac6e7295a4999e2c8e4a2c990beca887a"><div class="ttname"><a href="object_8h.html#ac6e7295a4999e2c8e4a2c990beca887a">TVM_DEFINE_OBJECT_REF_METHODS</a></div><div class="ttdeci">#define TVM_DEFINE_OBJECT_REF_METHODS(TypeName, ParentType, ObjectName)</div><div class="ttdef"><b>Definition:</b> object.h:701</div></div>
+<div class="ttc" id="classtvm_1_1auto__scheduler_1_1SearchPolicy_html"><div class="ttname"><a href="classtvm_1_1auto__scheduler_1_1SearchPolicy.html">tvm::auto_scheduler::SearchPolicy</a></div><div class="ttdoc">Managed reference to SearchPolicyNode. </div><div class="ttdef"><b>Definition:</b> search_policy.h:154</div></div>
+<div class="ttc" id="namespacetvm_1_1auto__scheduler_html_a7d8ee089905d95fe01bb6c513f429ac0"><div class="ttname"><a href="namespacetvm_1_1auto__scheduler.html#a7d8ee089905d95fe01bb6c513f429ac0">tvm::auto_scheduler::AutoSchedule</a></div><div class="ttdeci">std::pair< te::Schedule, Array< te::Tensor > > AutoSchedule(SearchTask task, SearchPolicy search_policy, TuningOptions tuning_options)</div><div class="ttdoc">Run schedule search for a given compute declaration. </div></div>
+<div class="ttc" id="classtvm_1_1auto__scheduler_1_1TuningOptionsNode_html_af6f3c49598d8377e02df4cd4d43ce732"><div class="ttname"><a href="classtvm_1_1auto__scheduler_1_1TuningOptionsNode.html#af6f3c49598d8377e02df4cd4d43ce732">tvm::auto_scheduler::TuningOptionsNode::num_measure_trials</a></div><div class="ttdeci">int num_measure_trials</div><div class="ttdoc">The number of total measurement trials. </div><div class="ttdef"><b>Definition:</b> auto_schedule.h:40</div></div>
+<div class="ttc" id="classtvm_1_1auto__scheduler_1_1TuningOptionsNode_html_a355d86b2c38f0827ae1b158753d1daa2"><div class="ttname"><a href="classtvm_1_1auto__scheduler_1_1TuningOptionsNode.html#a355d86b2c38f0827ae1b158753d1daa2">tvm::auto_scheduler::TuningOptionsNode::runner</a></div><div class="ttdeci">ProgramRunner runner</div><div class="ttdoc">ProgramRunner which runs the program and measures time costs. </div><div class="ttdef"><b>Definition:</b> auto_schedule.h:53</div></div>
+<div class="ttc" id="classtvm_1_1auto__scheduler_1_1ProgramBuilder_html"><div class="ttname"><a href="classtvm_1_1auto__scheduler_1_1ProgramBuilder.html">tvm::auto_scheduler::ProgramBuilder</a></div><div class="ttdoc">Managed reference to ProgramBuilderNode. </div><div class="ttdef"><b>Definition:</b> measure.h:261</div></div>
+<div class="ttc" id="classtvm_1_1auto__scheduler_1_1TuningOptionsNode_html_a3ba0915aabeb33a6adbcdceb4e6a43b9"><div class="ttname"><a href="classtvm_1_1auto__scheduler_1_1TuningOptionsNode.html#a3ba0915aabeb33a6adbcdceb4e6a43b9">tvm::auto_scheduler::TuningOptionsNode::measure_callbacks</a></div><div class="ttdeci">Optional< Array< MeasureCallback > > measure_callbacks</div><div class="ttdoc">MeasureCallback functions to be called after each measure batch. </div><div class="ttd [...]
+<div class="ttc" id="classtvm_1_1auto__scheduler_1_1SearchTask_html"><div class="ttname"><a href="classtvm_1_1auto__scheduler_1_1SearchTask.html">tvm::auto_scheduler::SearchTask</a></div><div class="ttdoc">Managed reference to SearchTaskNode. </div><div class="ttdef"><b>Definition:</b> search_task.h:132</div></div>
+<div class="ttc" id="classtvm_1_1auto__scheduler_1_1TuningOptions_html"><div class="ttname"><a href="classtvm_1_1auto__scheduler_1_1TuningOptions.html">tvm::auto_scheduler::TuningOptions</a></div><div class="ttdoc">Managed reference to TuningOptionsNode. </div><div class="ttdef"><b>Definition:</b> auto_schedule.h:78</div></div>
+<div class="ttc" id="search__policy_8h_html"><div class="ttname"><a href="search__policy_8h.html">search_policy.h</a></div><div class="ttdoc">The base class of search policies, including the abstract definition of search policy and other suppo...</div></div>
+</div><!-- fragment --></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"/>
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+ onfocus="searchBox.OnSearchFieldFocus(true)"
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+ onkeyup="searchBox.OnSearchFieldChange(event)"/>
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+ <a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a>
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+<li class="navelem"><a class="el" href="dir_d44c64559bbebec7f509842c48db8b23.html">include</a></li><li class="navelem"><a class="el" href="dir_b4c7d8e826c599ba55146c099a14beb5.html">tvm</a></li><li class="navelem"><a class="el" href="dir_404558507ed35459f0d7a6d81d8c508d.html">runtime</a></li><li class="navelem"><a class="el" href="dir_5baffeed82c1190bfdf7a4f918ab5ac6.html">vm</a></li> </ul>
+</div>
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+<a href="#nested-classes">Classes</a> |
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+ <div class="headertitle">
+<div class="title">bytecode.h File Reference</div> </div>
+</div><!--header-->
+<div class="contents">
+
+<p>The bytecode for Relay virtual machine.
+<a href="#details">More...</a></p>
+<div class="textblock"><code>#include <<a class="el" href="data__type_8h_source.html">tvm/runtime/data_type.h</a>></code><br />
+<code>#include <iostream></code><br />
+<code>#include <vector></code><br />
+</div><div class="textblock"><div class="dynheader">
+Include dependency graph for bytecode.h:</div>
+<div class="dyncontent">
+<div class="center"><iframe scrolling="no" frameborder="0" src="bytecode_8h__incl.svg" width="586" height="291"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
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+This graph shows which files directly or indirectly include this file:</div>
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+</div>
+</div>
+</div>
+<p><a href="bytecode_8h_source.html">Go to the source code of this file.</a></p>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a>
+Classes</h2></td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structtvm_1_1runtime_1_1vm_1_1Instruction.html">tvm::runtime::vm::Instruction</a></td></tr>
+<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">A single virtual machine instruction. <a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#details">More...</a><br /></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="namespaces"></a>
+Namespaces</h2></td></tr>
+<tr class="memitem:namespacetvm"><td class="memItemLeft" align="right" valign="top">  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetvm.html">tvm</a></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:namespacetvm_1_1runtime"><td class="memItemLeft" align="right" valign="top">  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetvm_1_1runtime.html">tvm::runtime</a></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:namespacetvm_1_1runtime_1_1vm"><td class="memItemLeft" align="right" valign="top">  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetvm_1_1runtime_1_1vm.html">tvm::runtime::vm</a></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="typedef-members"></a>
+Typedefs</h2></td></tr>
+<tr class="memitem:a3bbbf700719e9dc3dda2bc25210c18ae"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a3bbbf700719e9dc3dda2bc25210c18ae">tvm::runtime::vm::RegName</a> = int64_t</td></tr>
+<tr class="memdesc:a3bbbf700719e9dc3dda2bc25210c18ae"><td class="mdescLeft"> </td><td class="mdescRight">A register name. <a href="namespacetvm_1_1runtime_1_1vm.html#a3bbbf700719e9dc3dda2bc25210c18ae">More...</a><br /></td></tr>
+<tr class="separator:a3bbbf700719e9dc3dda2bc25210c18ae"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a3597867d2db714bf760876a23d6b7d3d"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a3597867d2db714bf760876a23d6b7d3d">tvm::runtime::vm::Index</a> = int64_t</td></tr>
+<tr class="memdesc:a3597867d2db714bf760876a23d6b7d3d"><td class="mdescLeft"> </td><td class="mdescRight">An alias for the integer type used ubiquitously in the VM. <a href="namespacetvm_1_1runtime_1_1vm.html#a3597867d2db714bf760876a23d6b7d3d">More...</a><br /></td></tr>
+<tr class="separator:a3597867d2db714bf760876a23d6b7d3d"><td class="memSeparator" colspan="2"> </td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="enum-members"></a>
+Enumerations</h2></td></tr>
+<tr class="memitem:a8d8d95ce8d629c7213f2f595917870ec"><td class="memItemLeft" align="right" valign="top">enum  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ec">tvm::runtime::vm::Opcode</a> { <br />
+  <a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870eca6bc362dbf494c61ea117fe3c71ca48a5">tvm::runtime::vm::Opcode::Move</a> = 0U,
+<a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ecaa4228a09dd66155de8e93a39245768bd">tvm::runtime::vm::Opcode::Ret</a> = 1U,
+<a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ecab9376e9e3c4d48f5e35a3f355ae1f74a">tvm::runtime::vm::Opcode::Invoke</a> = 2U,
+<a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870eca46990b57941483ce17bb07e3af6da59c">tvm::runtime::vm::Opcode::InvokeClosure</a> = 3U,
+<br />
+  <a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870eca97ad0208b167666da31720813abe1174">tvm::runtime::vm::Opcode::InvokePacked</a> = 4U,
+<a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870eca2bcae1ed3af462c3c4533a22377a75ea">tvm::runtime::vm::Opcode::AllocTensor</a> = 5U,
+<a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ecac8086b44868c71384cfec25bf1f1a6e6">tvm::runtime::vm::Opcode::AllocTensorReg</a> = 6U,
+<a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ecaee7bac5c7a1354c4d644508d4d82380e">tvm::runtime::vm::Opcode::AllocADT</a> = 7U,
+<br />
+  <a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870eca564a5812fad1ae9a2db0d77614c5d8bc">tvm::runtime::vm::Opcode::AllocClosure</a> = 8U,
+<a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ecad3e2f43779da90565fa9c24f9175dc04">tvm::runtime::vm::Opcode::GetField</a> = 9U,
+<a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870eca786887572f6ef1c20f2d8177cb2f1639">tvm::runtime::vm::Opcode::If</a> = 10U,
+<a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870eca68b393c7b4c9e1672b7a1a05161390f7">tvm::runtime::vm::Opcode::LoadConst</a> = 11U,
+<br />
+  <a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ecaae8fae3d74fdc80ef40995c3c6ca152e">tvm::runtime::vm::Opcode::Goto</a> = 12U,
+<a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ecabbfa589e414211911a8254ba7896b127">tvm::runtime::vm::Opcode::GetTag</a> = 13U,
+<a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870eca9558cee150d88040130f7b86d8d5dc58">tvm::runtime::vm::Opcode::LoadConsti</a> = 14U,
+<a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870eca882384ec38ce8d9582b57e70861730e4">tvm::runtime::vm::Opcode::Fatal</a> = 15U,
+<br />
+  <a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ecaa15cc1ca91f763a268e85bbc298987d7">tvm::runtime::vm::Opcode::AllocStorage</a> = 16U,
+<a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ecaf5c9bcc39a24e338f1837a43c549a855">tvm::runtime::vm::Opcode::ShapeOf</a> = 17U,
+<a class="el" href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ecac6aefdb1a98b77723cb8cbd758d8bd30">tvm::runtime::vm::Opcode::ReshapeTensor</a> = 18U
+<br />
+ }<tr class="memdesc:a8d8d95ce8d629c7213f2f595917870ec"><td class="mdescLeft"> </td><td class="mdescRight">An enumeration of Relay's opcodes. <a href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ec">More...</a><br /></td></tr>
+</td></tr>
+<tr class="separator:a8d8d95ce8d629c7213f2f595917870ec"><td class="memSeparator" colspan="2"> </td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock"><p>The bytecode for Relay virtual machine. </p>
+</div></div><!-- contents -->
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+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_ae0d33229af059c727db2abd3616660e0"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#ae0d33229af059c727db2abd3616660e0">tvm::runtime::vm::Instruction::result</a></div><div class="ttdeci">RegName result</div><div class="ttdoc">The register to return. </div><div class="ttdef"><b>Definition:</b> bytecode.h:120</div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a20f3b29da9e03f2fa6977743c30a02de"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a20f3b29da9e03f2fa6977743c30a02de">tvm::runtime::vm::Instruction::false_offset</a></div><div class="ttdeci">Index false_offset</div><div class="ttdoc">The program counter offset for the false branch. </div><div class="ttdef"><b>Definition:</b> bytecode.h:144</div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a1354fe84e9c14c550a53f5de8f48d968"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a1354fe84e9c14c550a53f5de8f48d968">tvm::runtime::vm::Instruction::shape</a></div><div class="ttdeci">int64_t * shape</div><div class="ttdoc">The shape of tensor. </div><div class="ttdef"><b>Definition:</b> bytecode.h:96</div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_aa16a3e7e4030a69da0def6465d65e745"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#aa16a3e7e4030a69da0def6465d65e745">tvm::runtime::vm::Instruction::op</a></div><div class="ttdeci">Opcode op</div><div class="ttdoc">The instruction opcode. </div><div class="ttdef"><b>Definition:</b> bytecode.h:82</div></div>
+<div class="ttc" id="namespacetvm_1_1runtime_1_1vm_html_a8d8d95ce8d629c7213f2f595917870ecaf5c9bcc39a24e338f1837a43c549a855"><div class="ttname"><a href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ecaf5c9bcc39a24e338f1837a43c549a855">tvm::runtime::vm::Opcode::ShapeOf</a></div></div>
+<div class="ttc" id="namespacetvm_1_1runtime_1_1vm_html_a8d8d95ce8d629c7213f2f595917870eca786887572f6ef1c20f2d8177cb2f1639"><div class="ttname"><a href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870eca786887572f6ef1c20f2d8177cb2f1639">tvm::runtime::vm::Opcode::If</a></div></div>
+<div class="ttc" id="namespacetvm_1_1runtime_1_1vm_html_a8d8d95ce8d629c7213f2f595917870eca68b393c7b4c9e1672b7a1a05161390f7"><div class="ttname"><a href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870eca68b393c7b4c9e1672b7a1a05161390f7">tvm::runtime::vm::Opcode::LoadConst</a></div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a721907173e94d564bff879792b29f789"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a721907173e94d564bff879792b29f789">tvm::runtime::vm::Instruction::pc_offset</a></div><div class="ttdeci">Index pc_offset</div><div class="ttdoc">The jump offset. </div><div class="ttdef"><b>Definition:</b> bytecode.h:164</div></div>
+<div class="ttc" id="namespacetvm_html"><div class="ttname"><a href="namespacetvm.html">tvm</a></div><div class="ttdef"><b>Definition:</b> analyzer.h:36</div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a6bb6a1b8be0c078394f2336970aab1af"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a6bb6a1b8be0c078394f2336970aab1af">tvm::runtime::vm::Instruction::output_size</a></div><div class="ttdeci">Index output_size</div><div class="ttdoc">The number of outputs produced by 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_a22de469ea5521ba12e14f1e8181bae56"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a22de469ea5521ba12e14f1e8181bae56">tvm::runtime::vm::Instruction::tensor</a></div><div class="ttdeci">RegName tensor</div><div class="ttdef"><b>Definition:</b> bytecode.h:201</div></div>
+<div class="ttc" id="namespacetvm_1_1runtime_1_1vm_html_a8d8d95ce8d629c7213f2f595917870ecaae8fae3d74fdc80ef40995c3c6ca152e"><div class="ttname"><a href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ecaae8fae3d74fdc80ef40995c3c6ca152e">tvm::runtime::vm::Opcode::Goto</a></div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_ac1e5be6bd195486a884bd8a26b5d12f9"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#ac1e5be6bd195486a884bd8a26b5d12f9">tvm::runtime::vm::Instruction::val</a></div><div class="ttdeci">Index val</div><div class="ttdef"><b>Definition:</b> bytecode.h:160</div></div>
+<div class="ttc" id="namespacetvm_1_1runtime_1_1vm_html_a8d8d95ce8d629c7213f2f595917870eca46990b57941483ce17bb07e3af6da59c"><div class="ttname"><a href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870eca46990b57941483ce17bb07e3af6da59c">tvm::runtime::vm::Opcode::InvokeClosure</a></div></div>
+<div class="ttc" id="namespacetvm_1_1runtime_1_1vm_html_a8d8d95ce8d629c7213f2f595917870eca97ad0208b167666da31720813abe1174"><div class="ttname"><a href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870eca97ad0208b167666da31720813abe1174">tvm::runtime::vm::Opcode::InvokePacked</a></div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a91614b450055e58850c47949b3ed2714"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a91614b450055e58850c47949b3ed2714">tvm::runtime::vm::Instruction::dtype</a></div><div class="ttdeci">DLDataType dtype</div><div class="ttdoc">The datatype of tensor to be allocated. </div><div class="ttdef"><b>Definition:</b> bytecode.h:98</div></div>
+<div class="ttc" id="namespacetvm_1_1runtime_1_1vm_html_a8d8d95ce8d629c7213f2f595917870ecab9376e9e3c4d48f5e35a3f355ae1f74a"><div class="ttname"><a href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ecab9376e9e3c4d48f5e35a3f355ae1f74a">tvm::runtime::vm::Opcode::Invoke</a></div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html">tvm::runtime::vm::Instruction</a></div><div class="ttdoc">A single virtual machine instruction. </div><div class="ttdef"><b>Definition:</b> bytecode.h:80</div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a950d212c6493a47bfcbf368daa974853"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a950d212c6493a47bfcbf368daa974853">tvm::runtime::vm::Instruction::const_index</a></div><div class="ttdeci">Index const_index</div><div class="ttdef"><b>Definition:</b> bytecode.h:156</div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_aee9011e3fab2ace2ae167db9a4394ee8"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#aee9011e3fab2ace2ae167db9a4394ee8">tvm::runtime::vm::Instruction::closure_args</a></div><div class="ttdeci">RegName * closure_args</div><div class="ttdoc">The closure arguments as an array. </div><div class="ttdef"><b>Definition:</b> bytecode.h:116</div></div>
+<div class="ttc" id="namespacetopi_html_a649c66231bc50f3ed98ac8bb6b6e2518"><div class="ttname"><a href="namespacetopi.html#a649c66231bc50f3ed98ac8bb6b6e2518">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:1375</div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a0f48c1e04fe9ba735576bef37caf9cce"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a0f48c1e04fe9ba735576bef37caf9cce">tvm::runtime::vm::Instruction::dtype_hint</a></div><div class="ttdeci">DLDataType dtype_hint</div><div class="ttdoc">The hint of the dtype. </div><div class="ttdef"><b>Definition:</b> bytecode.h:198</div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a17f056cc4798d31c8bcee6903be8dd1d"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a17f056cc4798d31c8bcee6903be8dd1d">tvm::runtime::vm::Instruction::dst</a></div><div class="ttdeci">RegName dst</div><div class="ttdoc">The destination register. </div><div class="ttdef"><b>Definition:</b> bytecode.h:85</div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_aa60b1a70648dbba4e7ec35a56a29a02d"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#aa60b1a70648dbba4e7ec35a56a29a02d">tvm::runtime::vm::Instruction::func_index</a></div><div class="ttdeci">Index func_index</div><div class="ttdoc">The function to call. </div><div class="ttdef"><b>Definition:</b> bytecode.h:148</div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a5602ccf14b6bd90e33a38c6ab82b0b57"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a5602ccf14b6bd90e33a38c6ab82b0b57">tvm::runtime::vm::Instruction::newshape</a></div><div class="ttdeci">RegName newshape</div><div class="ttdef"><b>Definition:</b> bytecode.h:205</div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a0a335ae91c7fd20f47bb6581dc3c620c"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a0a335ae91c7fd20f47bb6581dc3c620c">tvm::runtime::vm::Instruction::offset</a></div><div class="ttdeci">Index offset</div><div class="ttdoc">The offset into the storage to allocate from. </div><div class="ttdef"><b>Definition:</b> bytecode.h:92</div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a0ac4dada6519d071a819cc897cb15cf1"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a0ac4dada6519d071a819cc897cb15cf1">tvm::runtime::vm::Instruction::object</a></div><div class="ttdeci">RegName object</div><div class="ttdoc">The register to project from. </div><div class="ttdef"><b>Definition:</b> bytecode.h:168</div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a623d715b7b22a5fa853e8d000a6f1ecd"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a623d715b7b22a5fa853e8d000a6f1ecd">tvm::runtime::vm::Instruction::field_index</a></div><div class="ttdeci">Index field_index</div><div class="ttdoc">The field to read out. </div><div class="ttdef"><b>Definition:</b> bytecode.h:170</div></div>
+<div class="ttc" id="namespacetvm_1_1runtime_1_1vm_html_a8d8d95ce8d629c7213f2f595917870ecaee7bac5c7a1354c4d644508d4d82380e"><div class="ttname"><a href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ecaee7bac5c7a1354c4d644508d4d82380e">tvm::runtime::vm::Opcode::AllocADT</a></div></div>
+<div class="ttc" id="namespacetvm_1_1runtime_1_1vm_html_a8d8d95ce8d629c7213f2f595917870eca882384ec38ce8d9582b57e70861730e4"><div class="ttname"><a href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870eca882384ec38ce8d9582b57e70861730e4">tvm::runtime::vm::Opcode::Fatal</a></div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a173d5883d5721b633350c0bfc24122b9"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a173d5883d5721b633350c0bfc24122b9">tvm::runtime::vm::Instruction::ndim</a></div><div class="ttdeci">uint32_t ndim</div><div class="ttdoc">The number of dimensions. </div><div class="ttdef"><b>Definition:</b> bytecode.h:94</div></div>
+<div class="ttc" id="namespacetvm_1_1runtime_1_1vm_html_a3bbbf700719e9dc3dda2bc25210c18ae"><div class="ttname"><a href="namespacetvm_1_1runtime_1_1vm.html#a3bbbf700719e9dc3dda2bc25210c18ae">tvm::runtime::vm::RegName</a></div><div class="ttdeci">int64_t RegName</div><div class="ttdoc">A register name. </div><div class="ttdef"><b>Definition:</b> bytecode.h:37</div></div>
+<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:140</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:130</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:112</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:90</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:42</div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a5d98a3b5b50e6fa9029d05f741c0bce9"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a5d98a3b5b50e6fa9029d05f741c0bce9">tvm::runtime::vm::Instruction::num_args</a></div><div class="ttdeci">Index num_args</div><div class="ttdoc">The number of arguments to the function. </div><div class="ttdef"><b>Definition:</b> bytecode.h:150</div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a8d2b2e37051d12d60e6ae614d49de509"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a8d2b2e37051d12d60e6ae614d49de509">tvm::runtime::vm::Instruction::alignment</a></div><div class="ttdeci">Index alignment</div><div class="ttdoc">The alignment of the allocation. </div><div class="ttdef"><b>Definition:</b> bytecode.h:196</div></div>
+<div class="ttc" id="namespacetvm_1_1runtime_1_1vm_html_a8d8d95ce8d629c7213f2f595917870ec"><div class="ttname"><a href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ec">tvm::runtime::vm::Opcode</a></div><div class="ttdeci">Opcode</div><div class="ttdoc">An enumeration of Relay&#39;s opcodes. </div><div class="ttdef"><b>Definition:</b> bytecode.h:49</div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a58e6e5eba0eba678b94273ef7deb1df2"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a58e6e5eba0eba678b94273ef7deb1df2">tvm::runtime::vm::Instruction::true_offset</a></div><div class="ttdeci">Index true_offset</div><div class="ttdoc">The program counter offset for the true branch. </div><div class="ttdef"><b>Definition:</b> bytecode.h:142</div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a25adb383014a74a9c4ac805beefe86b6"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a25adb383014a74a9c4ac805beefe86b6">tvm::runtime::vm::Instruction::datatype_fields</a></div><div class="ttdeci">RegName * datatype_fields</div><div class="ttdoc">The fields as an array. </div><div class="ttdef"><b>Definition:</b> bytecode.h:182</div></div>
+<div class="ttc" id="namespacetvm_1_1runtime_1_1vm_html_a8d8d95ce8d629c7213f2f595917870eca564a5812fad1ae9a2db0d77614c5d8bc"><div class="ttname"><a href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870eca564a5812fad1ae9a2db0d77614c5d8bc">tvm::runtime::vm::Opcode::AllocClosure</a></div></div>
+<div class="ttc" id="namespacetvm_1_1runtime_1_1vm_html_a8d8d95ce8d629c7213f2f595917870ecac6aefdb1a98b77723cb8cbd758d8bd30"><div class="ttname"><a href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ecac6aefdb1a98b77723cb8cbd758d8bd30">tvm::runtime::vm::Opcode::ReshapeTensor</a></div></div>
+<div class="ttc" id="data__type_8h_html"><div class="ttname"><a href="data__type_8h.html">data_type.h</a></div></div>
+<div class="ttc" id="structtvm_1_1runtime_1_1vm_1_1Instruction_html_a4f907889caa7c348a3a2dea88e89b827"><div class="ttname"><a href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a4f907889caa7c348a3a2dea88e89b827">tvm::runtime::vm::Instruction::allocation_size</a></div><div class="ttdeci">RegName allocation_size</div><div class="ttdoc">The size of the allocation. </div><div class="ttdef"><b>Definition:</b> bytecode.h:194</div></div>
+<div class="ttc" id="namespacetvm_1_1runtime_1_1vm_html_a8d8d95ce8d629c7213f2f595917870ecabbfa589e414211911a8254ba7896b127"><div class="ttname"><a href="namespacetvm_1_1runtime_1_1vm.html#a8d8d95ce8d629c7213f2f595917870ecabbfa589e414211911a8254ba7896b127">tvm::runtime::vm::Opcode::GetTag</a></div></div>
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