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Posted to commits@mxnet.apache.org by ju...@apache.org on 2019/10/11 21:48:34 UTC
[incubator-mxnet] branch ir-patch updated (62b9f31 -> b846a29)
This is an automated email from the ASF dual-hosted git repository.
junrushao pushed a change to branch ir-patch
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
discard 62b9f31 [IR-Bridge] Operator Attributes (#16421)
omit d34c82e [IR-Bridge] Support attrs for operators: convolution, batch norm, relu (#16351)
omit d4e4e80 [IR-Patch] IR Bridge (#16290)
add 9dc0ab8 global numpy shape flag (#16335)
add cfe9e50 Skipping installing nightly test (#16418)
add a2018ba cuDNN non-persistant bidirectional RNN dgrad sync fix (#16391)
add 56e1bef Adds PyPI CD Pipeline (#16190)
add 88521ff upgrade the pytest version (#16429)
add 6ce323f [DOC] fix installation selector wrong history (#16381)
add 1ab4c95 New ops for RCNN + old ops improvements for RCNN (#16215)
add e484f72 Beta build (#16411)
add 243ade9 [WIP] Improving Python Docs API (#16392)
add cf61364 Revert "add mkl installation temp fix (#16304)" (#16369)
add d8193c6 Update add_op_in_backend.md (#16403)
add 7f5e687 numpy-compatible histogram (#16266)
add ca30ba8 Pseudo 2D transpose kernel (#16229)
add d2d76dc increase docker cache timeout (#16430)
new 8c22d66 [IR-Patch] IR Bridge (#16290)
new 5361b9b [IR-Bridge] Support attrs for operators: convolution, batch norm, relu (#16351)
new b846a29 [IR-Bridge] Operator Attributes (#16421)
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Summary of changes:
cd/Jenkinsfile_cd_pipeline | 4 +
cd/Jenkinsfile_utils.groovy | 73 ++++
cd/README.md | 8 +
cd/python/pypi/Jenkins_pipeline.groovy | 78 ++++
cd/python/pypi/README.md | 43 ++
cd/python/pypi/pypi_package.sh | 60 +++
cd/python/pypi/pypi_publish.py | 87 ++++
ci/docker/install/ubuntu_mkl.sh | 2 +-
ci/docker/install/ubuntu_onnx.sh | 4 +-
ci/docker/runtime_functions.sh | 48 ++-
ci/docker_cache.py | 2 +-
ci/jenkins/Jenkins_steps.groovy | 43 +-
...enkinsfile_website => Jenkinsfile_website_beta} | 23 +-
docs/python_docs/README.md | 116 +++++-
docs/python_docs/_static/autodoc.js | 49 +++
docs/python_docs/_static/mxnet.css | 7 +
docs/python_docs/environment.yml | 1 +
docs/python_docs/python/Makefile | 3 +-
docs/python_docs/python/README.md | 130 ------
docs/python_docs/python/api/advanced/index.rst | 74 ----
.../python/api/advanced/mxnet.executor_manager.rst | 38 --
.../python/api/advanced/mxnet.kvstore_server.rst | 36 --
.../python/api/advanced/mxnet.test_utils.rst | 91 ----
.../index.rst} | 10 +-
.../autograd/index.rst} | 10 +-
docs/python_docs/python/api/contrib/index.rst | 88 ++++
.../io/index.rst} | 10 +-
.../ndarray/index.rst} | 10 +-
.../mxnet.random.rst => contrib/onnx/index.rst} | 12 +-
.../quantization/index.rst} | 10 +-
.../symbol/index.rst} | 10 +-
.../tensorboard/index.rst} | 10 +-
.../tensorrt/index.rst} | 10 +-
.../mxnet.random.rst => contrib/text/index.rst} | 11 +-
.../python_docs/python/api/gluon-related/index.rst | 111 -----
.../python/api/gluon-related/mxnet.autograd.rst | 38 --
.../python/api/gluon-related/mxnet.image.rst | 99 -----
.../python/api/gluon-related/mxnet.initializer.rst | 58 ---
.../python/api/gluon-related/mxnet.io.rst | 52 ---
.../api/gluon-related/mxnet.kvstore.KVStore.rst | 61 ---
.../api/gluon-related/mxnet.lr_scheduler.rst | 31 --
.../python/api/gluon-related/mxnet.metric.rst | 57 ---
.../python/api/gluon-related/mxnet.optimizer.rst | 55 ---
.../python/api/gluon-related/mxnet.profiler.rst | 54 ---
.../python/api/gluon-related/mxnet.recordio.rst | 43 --
.../mxnet.random.rst => gluon/block.rst} | 13 +-
.../{mxnet.gluon.Constant.rst => constant.rst} | 10 +-
.../{mxnet.gluon.contrib.rst => contrib/index.rst} | 17 +-
.../mxnet.random.rst => gluon/hybrid_block.rst} | 13 +-
docs/python_docs/python/api/gluon/index.rst | 45 +-
.../mxnet.rtc.rst => gluon/loss/index.rst} | 25 +-
.../index.rst} | 30 +-
.../python/api/gluon/mxnet.gluon.HybridBlock.rst | 40 --
.../python/api/gluon/mxnet.gluon.ParameterDict.rst | 79 ----
.../python/api/gluon/mxnet.gluon.Trainer.rst | 51 ---
.../python/api/gluon/mxnet.gluon.data.rst | 50 ---
.../python/api/gluon/mxnet.gluon.data.vision.rst | 58 ---
.../python/api/gluon/mxnet.gluon.loss.rst | 40 --
.../python/api/gluon/mxnet.gluon.nn.Block.rst | 86 ----
.../api/gluon/mxnet.gluon.nn.HybridBlock.rst | 66 ---
.../api/gluon/mxnet.gluon.nn.SymbolBlock.rst | 67 ---
.../python/api/gluon/mxnet.gluon.parameter.rst | 68 ---
.../python/api/gluon/mxnet.gluon.utils.rst | 31 --
.../python/api/gluon/{nn.rst => nn/index.rst} | 40 +-
.../mxnet.random.rst => gluon/parameter.rst} | 13 +-
.../mxnet.random.rst => gluon/parameter_dict.rst} | 13 +-
.../python/api/gluon/{rnn.rst => rnn/index.rst} | 24 +-
.../mxnet.random.rst => gluon/symbol_block.rst} | 13 +-
.../mxnet.random.rst => gluon/trainer.rst} | 13 +-
.../utils/index.rst} | 9 +-
docs/python_docs/python/api/index.rst | 188 ++++++++-
.../index.rst} | 10 +-
.../mxnet.kvstore.rst => kvstore/index.rst} | 8 +-
.../index.rst} | 10 +-
.../mxnet.gluon.Constant.rst => metric/index.rst} | 10 +-
.../mxnet.random.rst => module/index.rst} | 12 +-
.../attribute/index.rst} | 10 +-
.../base/index.rst} | 10 +-
.../callback/index.rst} | 10 +-
.../mxnet.context.rst => mxnet/context/index.rst} | 14 +-
.../mxnet.engine.rst => mxnet/engine/index.rst} | 15 +-
.../executor/index.rst} | 17 +-
.../executor_manager/index.rst} | 10 +-
.../image/index.rst} | 14 +-
.../python/api/{symbol-related => mxnet}/index.rst | 70 ++--
.../io/index.rst} | 9 +-
.../kvstore_server/index.rst} | 13 +-
.../libinfo/index.rst} | 11 +-
.../mxnet.monitor.rst => mxnet/monitor/index.rst} | 16 +-
.../name/index.rst} | 10 +-
.../notebook/index.rst} | 10 +-
.../operator/index.rst} | 10 +-
.../profiler/index.rst} | 10 +-
.../mxnet.random.rst => mxnet/random/index.rst} | 7 +-
.../recordio/index.rst} | 10 +-
.../registry/index.rst} | 10 +-
.../rtc/index.rst} | 10 +-
.../test_utils/index.rst} | 10 +-
.../torch/index.rst} | 10 +-
.../mxnet.util.rst => mxnet/util/index.rst} | 12 +-
.../visualization/index.rst} | 16 +-
.../contrib/index.rst} | 10 +-
.../image/index.rst} | 10 +-
docs/python_docs/python/api/ndarray/index.rst | 31 +-
.../linalg/index.rst} | 10 +-
.../python/api/ndarray/mxnet.ndarray.NDArray.rst | 310 --------------
.../ndarray/mxnet.ndarray.sparse.CSRNDArray.rst | 203 ---------
.../mxnet.ndarray.sparse.RowSparseNDArray.rst | 183 --------
.../mxnet.random.rst => ndarray/ndarray.rst} | 14 +-
.../op/index.rst} | 10 +-
.../random/index.rst} | 10 +-
.../register/index.rst} | 10 +-
docs/python_docs/python/api/ndarray/routines.rst | 461 ---------------------
.../sparse/index.rst} | 10 +-
.../python/api/ndarray/sparse_routines.rst | 200 ---------
.../utils/index.rst} | 10 +-
.../index.rst} | 10 +-
.../python/api/symbol-related/mxnet.callback.rst | 45 --
.../python/api/symbol-related/mxnet.model.rst | 45 --
.../python/api/symbol-related/mxnet.module.rst | 35 --
.../contrib/index.rst} | 10 +-
.../image/index.rst} | 10 +-
docs/python_docs/python/api/symbol/index.rst | 12 +-
.../linalg/index.rst} | 10 +-
.../python/api/symbol/mxnet.symbol.Symbol.rst | 335 ---------------
.../python/api/symbol/mxnet.symbol.linalg.rst | 49 ---
.../op/index.rst} | 10 +-
.../random/index.rst} | 10 +-
.../register/index.rst} | 10 +-
.../sparse/index.rst} | 10 +-
.../mxnet.kvstore.create.rst => symbol/symbol.rst} | 9 +-
docs/python_docs/python/index.rst | 4 +-
docs/python_docs/python/scripts/conf.py | 7 +-
.../python/tutorials/packages/gluon/blocks/nn.md | 2 +-
.../packages/gluon/training/normalization/index.md | 6 +-
.../mxtheme/static/sphinx_materialdesign_theme.css | 2 +-
.../static/sphinx_materialdesign_theme.css.map | 2 +-
.../themes/mx-theme/src/scss/toc/_globaltoc.scss | 4 +-
docs/static_site/src/.htaccess | 50 +--
docs/static_site/src/assets/js/options.js | 47 +--
.../src/pages/api/faq/add_op_in_backend.md | 2 +-
include/mxnet/c_api.h | 3 +-
include/mxnet/imperative.h | 44 +-
python/mxnet/gluon/block.py | 16 +-
python/mxnet/gluon/contrib/estimator/estimator.py | 2 +-
python/mxnet/gluon/contrib/rnn/conv_rnn_cell.py | 18 +-
python/mxnet/gluon/model_zoo/vision/__init__.py | 2 +-
python/mxnet/gluon/model_zoo/vision/resnet.py | 4 +-
python/mxnet/io/__init__.py | 6 +-
python/mxnet/monitor.py | 2 +-
python/mxnet/ndarray/numpy/_op.py | 49 ++-
python/mxnet/numpy/multiarray.py | 34 +-
python/mxnet/symbol/numpy/_symbol.py | 49 ++-
src/c_api/c_api_ndarray.cc | 2 +-
src/imperative/imperative.cc | 4 +-
src/operator/contrib/bounding_box-inl.h | 278 +++++++++++++
src/operator/contrib/bounding_box.cc | 43 ++
src/operator/contrib/bounding_box.cu | 7 +
src/operator/contrib/roi_align.cc | 11 +-
src/operator/contrib/roi_align.cu | 6 +
src/operator/instance_norm.cc | 2 +-
src/operator/rnn-inl.h | 83 ++--
src/operator/tensor/amp_cast.h | 9 +-
src/operator/tensor/histogram.cc | 1 +
src/operator/tensor/matrix_op-inl.h | 16 +
src/operator/tensor/pseudo2DTranspose_op-inl.cuh | 348 ++++++++++++++++
tests/nightly/Jenkinsfile | 2 +-
tests/python/unittest/test_contrib_operator.py | 18 +
tests/python/unittest/test_numpy_op.py | 17 +
tests/python/unittest/test_operator.py | 46 +-
tests/python/unittest/test_thread_local.py | 26 +-
tools/pip/doc/CPU_ADDITIONAL.md | 6 +-
tools/pip/doc/CU100MKL_ADDITIONAL.md | 4 +-
tools/pip/doc/CU100_ADDITIONAL.md | 4 +-
...U91MKL_ADDITIONAL.md => CU101MKL_ADDITIONAL.md} | 10 +-
.../{CU91_ADDITIONAL.md => CU101_ADDITIONAL.md} | 10 +-
tools/pip/doc/CU75MKL_ADDITIONAL.md | 6 +-
tools/pip/doc/CU75_ADDITIONAL.md | 6 +-
tools/pip/doc/CU80MKL_ADDITIONAL.md | 6 +-
tools/pip/doc/CU80_ADDITIONAL.md | 6 +-
tools/pip/doc/CU90MKL_ADDITIONAL.md | 6 +-
tools/pip/doc/CU90_ADDITIONAL.md | 6 +-
tools/pip/doc/CU92MKL_ADDITIONAL.md | 6 +-
tools/pip/doc/CU92_ADDITIONAL.md | 6 +-
tools/pip/doc/MKL_ADDITIONAL.md | 6 +-
tools/pip/setup.py | 14 +-
186 files changed, 2533 insertions(+), 4301 deletions(-)
create mode 100644 cd/python/pypi/Jenkins_pipeline.groovy
create mode 100644 cd/python/pypi/README.md
create mode 100755 cd/python/pypi/pypi_package.sh
create mode 100755 cd/python/pypi/pypi_publish.py
rename ci/jenkins/{Jenkinsfile_website => Jenkinsfile_website_beta} (67%)
create mode 100644 docs/python_docs/_static/autodoc.js
delete mode 100644 docs/python_docs/python/README.md
delete mode 100644 docs/python_docs/python/api/advanced/index.rst
delete mode 100644 docs/python_docs/python/api/advanced/mxnet.executor_manager.rst
delete mode 100644 docs/python_docs/python/api/advanced/mxnet.kvstore_server.rst
delete mode 100644 docs/python_docs/python/api/advanced/mxnet.test_utils.rst
copy docs/python_docs/python/api/{gluon-related/mxnet.kvstore.create.rst => autograd/index.rst} (89%)
copy docs/python_docs/python/api/{gluon-related/mxnet.kvstore.create.rst => contrib/autograd/index.rst} (88%)
create mode 100644 docs/python_docs/python/api/contrib/index.rst
copy docs/python_docs/python/api/{gluon-related/mxnet.kvstore.create.rst => contrib/io/index.rst} (90%)
copy docs/python_docs/python/api/{gluon-related/mxnet.kvstore.create.rst => contrib/ndarray/index.rst} (88%)
copy docs/python_docs/python/api/{gluon-related/mxnet.random.rst => contrib/onnx/index.rst} (88%)
copy docs/python_docs/python/api/{gluon-related/mxnet.kvstore.create.rst => contrib/quantization/index.rst} (87%)
copy docs/python_docs/python/api/{gluon-related/mxnet.kvstore.create.rst => contrib/symbol/index.rst} (88%)
copy docs/python_docs/python/api/{gluon-related/mxnet.kvstore.create.rst => contrib/tensorboard/index.rst} (87%)
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rename docs/python_docs/python/api/gluon/{mxnet.gluon.contrib.rst => contrib/index.rst} (92%)
copy docs/python_docs/python/api/{gluon-related/mxnet.random.rst => gluon/hybrid_block.rst} (86%)
rename docs/python_docs/python/api/{advanced/mxnet.rtc.rst => gluon/loss/index.rst} (80%)
rename docs/python_docs/python/api/gluon/{mxnet.gluon.model_zoo.rst => model_zoo/index.rst} (84%)
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delete mode 100644 docs/python_docs/python/api/gluon/mxnet.gluon.parameter.rst
delete mode 100644 docs/python_docs/python/api/gluon/mxnet.gluon.utils.rst
rename docs/python_docs/python/api/gluon/{nn.rst => nn/index.rst} (81%)
copy docs/python_docs/python/api/{gluon-related/mxnet.random.rst => gluon/parameter.rst} (86%)
copy docs/python_docs/python/api/{gluon-related/mxnet.random.rst => gluon/parameter_dict.rst} (85%)
rename docs/python_docs/python/api/gluon/{rnn.rst => rnn/index.rst} (75%)
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rename docs/python_docs/python/api/{gluon-related/mxnet.kvstore.rst => kvstore/index.rst} (92%)
copy docs/python_docs/python/api/{gluon-related/mxnet.kvstore.create.rst => lr_scheduler/index.rst} (88%)
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copy docs/python_docs/python/api/{gluon-related/mxnet.kvstore.create.rst => symbol/contrib/index.rst} (88%)
copy docs/python_docs/python/api/{gluon/mxnet.gluon.Constant.rst => symbol/image/index.rst} (89%)
copy docs/python_docs/python/api/{gluon/mxnet.gluon.Constant.rst => symbol/linalg/index.rst} (89%)
delete mode 100644 docs/python_docs/python/api/symbol/mxnet.symbol.Symbol.rst
delete mode 100644 docs/python_docs/python/api/symbol/mxnet.symbol.linalg.rst
copy docs/python_docs/python/api/{gluon-related/mxnet.kvstore.create.rst => symbol/op/index.rst} (90%)
copy docs/python_docs/python/api/{gluon/mxnet.gluon.Constant.rst => symbol/random/index.rst} (89%)
copy docs/python_docs/python/api/{gluon-related/mxnet.kvstore.create.rst => symbol/register/index.rst} (88%)
rename docs/python_docs/python/api/{gluon/mxnet.gluon.Constant.rst => symbol/sparse/index.rst} (89%)
rename docs/python_docs/python/api/{gluon-related/mxnet.kvstore.create.rst => symbol/symbol.rst} (86%)
create mode 100644 src/operator/tensor/pseudo2DTranspose_op-inl.cuh
rename tools/pip/doc/{CU91MKL_ADDITIONAL.md => CU101MKL_ADDITIONAL.md} (81%)
rename tools/pip/doc/{CU91_ADDITIONAL.md => CU101_ADDITIONAL.md} (78%)
[incubator-mxnet] 01/03: [IR-Patch] IR Bridge (#16290)
Posted by ju...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
junrushao pushed a commit to branch ir-patch
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
commit 8c22d66ec4ae1a52fd6364b5a49c62b76ba9a2b3
Author: Junru Shao <ju...@gmail.com>
AuthorDate: Mon Sep 30 12:11:35 2019 -0700
[IR-Patch] IR Bridge (#16290)
* ir converter
Add license
Missed something
lint
lintlintlint
* Restore cryptic part of CachedOp
* Update Makefile
* try again for libtvm.so...
* try again
* try once once again
* let's try to fix julia's issue first
* Remove AsText which is not an exposed symbol
* try to bypass amalgamation
* try again
* boy try this
* blacklist tvm to amalgamation.py
---
3rdparty/tvm | 2 +-
CMakeLists.txt | 2 +-
Makefile | 17 +-
amalgamation/Makefile | 4 +-
amalgamation/amalgamation.py | 4 +-
ci/jenkins/Jenkins_steps.groovy | 20 +--
.../assembly/src/main/assembly/assembly.xml | 2 +-
.../apache/mxnet/util/NativeLibraryLoader.scala | 2 +-
src/imperative/cached_op.cc | 16 +-
src/v3/src/nnvm_relay_bridge.cc | 182 +++++++++++++++++++++
tests/nightly/JenkinsfileForBinaries | 4 +-
.../JenkinsfileForMBCC | 2 +-
12 files changed, 228 insertions(+), 29 deletions(-)
diff --git a/3rdparty/tvm b/3rdparty/tvm
index afd4b3e..18188f4 160000
--- a/3rdparty/tvm
+++ b/3rdparty/tvm
@@ -1 +1 @@
-Subproject commit afd4b3e4450984358e9d79a7e8e578483cb7b017
+Subproject commit 18188f4ba3f53cc1dab765b8a0d932d21db0ae8a
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 5045bba..c14e169 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -744,7 +744,7 @@ endif()
if(USE_TVM_OP)
add_definitions(-DMXNET_USE_TVM_OP=1)
- list(APPEND mxnet_LINKER_LIBS ${CMAKE_CURRENT_BINARY_DIR}/3rdparty/tvm/libtvm_runtime.so)
+ list(APPEND mxnet_LINKER_LIBS ${CMAKE_CURRENT_BINARY_DIR}/3rdparty/tvm/libtvm.so)
include(cmake/BuildTVM.cmake)
add_subdirectory("3rdparty/tvm")
diff --git a/Makefile b/Makefile
index 0a1e355..b18edf0 100644
--- a/Makefile
+++ b/Makefile
@@ -468,9 +468,9 @@ CUSRC = $(wildcard src/*/*/*/*.cu src/*/*/*.cu src/*/*.cu src/*.cu)
CUOBJ = $(patsubst %.cu, build/%_gpu.o, $(CUSRC))
ifeq ($(USE_TVM_OP), 1)
-LIB_DEP += lib/libtvm_runtime.so lib/libtvmop.so
+LIB_DEP += lib/libtvm.so lib/libtvmop.so
CFLAGS += -I$(TVM_PATH)/include -DMXNET_USE_TVM_OP=1
-LDFLAGS += -L$(ROOTDIR)/lib -ltvm_runtime -Wl,-rpath,'$${ORIGIN}'
+LDFLAGS += -L$(ROOTDIR)/lib -ltvm -Wl,-rpath,'$${ORIGIN}'
TVM_USE_CUDA := OFF
ifeq ($(USE_CUDA), 1)
@@ -618,15 +618,16 @@ $(DMLC_CORE)/libdmlc.a: DMLCCORE
DMLCCORE:
+ cd $(DMLC_CORE); $(MAKE) libdmlc.a USE_SSE=$(USE_SSE) config=$(ROOTDIR)/$(config); cd $(ROOTDIR)
-lib/libtvm_runtime.so:
+lib/libtvm.so:
echo "Compile TVM"
[ -e $(LLVM_PATH)/bin/llvm-config ] || sh $(ROOTDIR)/contrib/tvmop/prepare_tvm.sh; \
cd $(TVM_PATH)/build; \
- cmake -DUSE_LLVM="$(LLVM_PATH)/bin/llvm-config" \
+ cmake -DUSE_LLVM="$(LLVM_PATH)/bin/llvm-config --ignore-libllvm" -DHIDE_PRIVATE_SYMBOLS=ON \
+ -DCMAKE_SHARED_LINKER_FLAGS="-Wl,--exclude-libs,ALL" \
-DUSE_SORT=OFF -DUSE_CUDA=$(TVM_USE_CUDA) -DUSE_CUDNN=OFF ..; \
$(MAKE) VERBOSE=1; \
mkdir -p $(ROOTDIR)/lib; \
- cp $(TVM_PATH)/build/libtvm_runtime.so $(ROOTDIR)/lib/libtvm_runtime.so; \
+ cp $(TVM_PATH)/build/libtvm.so $(ROOTDIR)/lib/libtvm.so; \
ls $(ROOTDIR)/lib; \
cd $(ROOTDIR)
@@ -634,7 +635,7 @@ TVM_OP_COMPILE_OPTIONS = -o $(ROOTDIR)/lib/libtvmop.so
ifneq ($(CUDA_ARCH),)
TVM_OP_COMPILE_OPTIONS += --cuda-arch "$(CUDA_ARCH)"
endif
-lib/libtvmop.so: lib/libtvm_runtime.so $(wildcard contrib/tvmop/*/*.py contrib/tvmop/*.py)
+lib/libtvmop.so: lib/libtvm.so $(wildcard contrib/tvmop/*/*.py contrib/tvmop/*.py)
echo "Compile TVM operators"
PYTHONPATH=$(TVM_PATH)/python:$(TVM_PATH)/topi/python:$(ROOTDIR)/contrib \
LD_LIBRARY_PATH=$(ROOTDIR)/lib \
@@ -700,8 +701,8 @@ rpkg:
cp -rf lib/libmklml_intel.so R-package/inst/libs; \
fi
- if [ -e "lib/libtvm_runtime.so" ]; then \
- cp -rf lib/libtvm_runtime.so R-package/inst/libs; \
+ if [ -e "lib/libtvm.so" ]; then \
+ cp -rf lib/libtvm.so R-package/inst/libs; \
fi
mkdir -p R-package/inst/include
diff --git a/amalgamation/Makefile b/amalgamation/Makefile
index 701c1f1..f45ebfc 100644
--- a/amalgamation/Makefile
+++ b/amalgamation/Makefile
@@ -49,7 +49,7 @@ endif
.PHONY: all clean
DEFS+=-DMSHADOW_USE_CUDA=0 -DMSHADOW_USE_MKL=0 -DMSHADOW_RABIT_PS=0 -DMSHADOW_DIST_PS=0 -DDMLC_LOG_STACK_TRACE=0
-DEFS+=-DMSHADOW_FORCE_STREAM -DMXNET_USE_OPENCV=0 -DMXNET_PREDICT_ONLY=1
+DEFS+=-DMSHADOW_FORCE_STREAM -DMXNET_USE_OPENCV=0 -DMXNET_PREDICT_ONLY=1 -DMXNET_AMALGAMATION=1
CFLAGS=-std=c++11 -Wno-unknown-pragmas -Wall $(DEFS)
# if architecture of the CPU supports F16C instruction set, enable USE_F16C for fast fp16 computation on CPU
@@ -120,7 +120,7 @@ else
endif
libmxnet_predict.js: mxnet_predict-all.cc
- ${EMCC} -std=c++11 -O2 $(DEFS) -DMSHADOW_USE_SSE=0 -D__MXNET_JS__ -o $@ $+ \
+ ${EMCC} -std=c++11 -O2 $(DEFS) -DMSHADOW_USE_SSE=0 -D__MXNET_JS__ -o $@ $+ \
-s EXPORTED_FUNCTIONS="['_MXPredCreate', \
'_MXPredGetOutputShape', \
'_MXPredSetInput', \
diff --git a/amalgamation/amalgamation.py b/amalgamation/amalgamation.py
index 5f825de..8d1cd6f 100644
--- a/amalgamation/amalgamation.py
+++ b/amalgamation/amalgamation.py
@@ -170,6 +170,7 @@ def expand(x, pending, stage):
if not source:
if (h not in blacklist and
h not in sysheaders and
+ 'tvm' not in h and
'mkl' not in h and
'nnpack' not in h and
'tensorrt' not in h and
@@ -190,7 +191,8 @@ expand.fileCount = 0
# Expand the stages
expand(sys.argv[2], [], "3rdparty/dmlc-core")
-expand(sys.argv[3], [], "3rdparty/tvm/nnvm")
+expand(sys.argv[3], [], "3rdparty/tvm")
+expand(sys.argv[3], [], "3rdparty/nnvm")
expand(sys.argv[4], [], "src")
# Write to amalgamation file
diff --git a/ci/jenkins/Jenkins_steps.groovy b/ci/jenkins/Jenkins_steps.groovy
index 7473a08..9b0f430 100644
--- a/ci/jenkins/Jenkins_steps.groovy
+++ b/ci/jenkins/Jenkins_steps.groovy
@@ -23,22 +23,22 @@
utils = load('ci/Jenkinsfile_utils.groovy')
// mxnet libraries
-mx_lib = 'lib/libmxnet.so, lib/libmxnet.a, lib/libtvm_runtime.so, lib/libtvmop.so, libsample_lib.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a'
-mx_lib_cython = 'lib/libmxnet.so, lib/libmxnet.a, lib/libtvm_runtime.so, lib/libtvmop.so, libsample_lib.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a, python/mxnet/_cy2/*.so, python/mxnet/_cy3/*.so'
+mx_lib = 'lib/libmxnet.so, lib/libmxnet.a, lib/libtvm.so, lib/libtvmop.so, libsample_lib.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a'
+mx_lib_cython = 'lib/libmxnet.so, lib/libmxnet.a, lib/libtvm.so, lib/libtvmop.so, libsample_lib.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a, python/mxnet/_cy2/*.so, python/mxnet/_cy3/*.so'
// Python wheels
mx_pip = 'build/*.whl'
// mxnet cmake libraries, in cmake builds we do not produce a libnvvm static library by default.
-mx_cmake_lib = 'build/libmxnet.so, build/libmxnet.a, build/3rdparty/tvm/libtvm_runtime.so, build/libtvmop.so, build/3rdparty/dmlc-core/libdmlc.a, build/tests/mxnet_unit_tests, build/3rdparty/openmp/runtime/src/libomp.so'
-mx_cmake_lib_cython = 'build/libmxnet.so, build/libmxnet.a, build/3rdparty/tvm/libtvm_runtime.so, build/libtvmop.so, build/3rdparty/dmlc-core/libdmlc.a, build/tests/mxnet_unit_tests, build/3rdparty/openmp/runtime/src/libomp.so, python/mxnet/_cy2/*.so, python/mxnet/_cy3/*.so'
+mx_cmake_lib = 'build/libmxnet.so, build/libmxnet.a, build/3rdparty/tvm/libtvm.so, build/libtvmop.so, build/3rdparty/dmlc-core/libdmlc.a, build/tests/mxnet_unit_tests, build/3rdparty/openmp/runtime/src/libomp.so'
+mx_cmake_lib_cython = 'build/libmxnet.so, build/libmxnet.a, build/3rdparty/tvm/libtvm.so, build/libtvmop.so, build/3rdparty/dmlc-core/libdmlc.a, build/tests/mxnet_unit_tests, build/3rdparty/openmp/runtime/src/libomp.so, python/mxnet/_cy2/*.so, python/mxnet/_cy3/*.so'
// mxnet cmake libraries, in cmake builds we do not produce a libnvvm static library by default.
-mx_cmake_lib_debug = 'build/libmxnet.so, build/libmxnet.a, build/3rdparty/tvm/libtvm_runtime.so, build/libtvmop.so, build/libsample_lib.so, build/3rdparty/dmlc-core/libdmlc.a, build/tests/mxnet_unit_tests'
-mx_cmake_mkldnn_lib = 'build/libmxnet.so, build/libmxnet.a, build/3rdparty/tvm/libtvm_runtime.so, build/libtvmop.so, build/3rdparty/dmlc-core/libdmlc.a, build/tests/mxnet_unit_tests, build/3rdparty/openmp/runtime/src/libomp.so, build/3rdparty/mkldnn/src/libmkldnn.so.0'
-mx_mkldnn_lib = 'lib/libmxnet.so, lib/libmxnet.a, lib/libtvm_runtime.so, lib/libtvmop.so, libsample_lib.so, lib/libiomp5.so, lib/libmkldnn.so.0, lib/libmklml_intel.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a'
-mx_tensorrt_lib = 'build/libmxnet.so, build/3rdparty/tvm/libtvm_runtime.so, build/libtvmop.so, lib/libnvonnxparser_runtime.so.0, lib/libnvonnxparser.so.0, lib/libonnx_proto.so, lib/libonnx.so'
-mx_lib_cpp_examples = 'lib/libmxnet.so, lib/libmxnet.a, lib/libtvm_runtime.so, lib/libtvmop.so, libsample_lib.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a, 3rdparty/ps-lite/build/libps.a, deps/lib/libprotobuf-lite.a, deps/lib/libzmq.a, build/cpp-package/example/*, python/mxnet/_cy2/*.so, python/mxnet/_cy3/*.so'
-mx_lib_cpp_examples_cpu = 'build/libmxnet.so, build/3rdparty/tvm/libtvm_runtime.so, build/libtvmop.so, build/cpp-package/example/*'
+mx_cmake_lib_debug = 'build/libmxnet.so, build/libmxnet.a, build/3rdparty/tvm/libtvm.so, build/libtvmop.so, build/libsample_lib.so, build/3rdparty/dmlc-core/libdmlc.a, build/tests/mxnet_unit_tests'
+mx_cmake_mkldnn_lib = 'build/libmxnet.so, build/libmxnet.a, build/3rdparty/tvm/libtvm.so, build/libtvmop.so, build/3rdparty/dmlc-core/libdmlc.a, build/tests/mxnet_unit_tests, build/3rdparty/openmp/runtime/src/libomp.so, build/3rdparty/mkldnn/src/libmkldnn.so.0'
+mx_mkldnn_lib = 'lib/libmxnet.so, lib/libmxnet.a, lib/libtvm.so, lib/libtvmop.so, libsample_lib.so, lib/libiomp5.so, lib/libmkldnn.so.0, lib/libmklml_intel.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a'
+mx_tensorrt_lib = 'build/libmxnet.so, build/3rdparty/tvm/libtvm.so, build/libtvmop.so, lib/libnvonnxparser_runtime.so.0, lib/libnvonnxparser.so.0, lib/libonnx_proto.so, lib/libonnx.so'
+mx_lib_cpp_examples = 'lib/libmxnet.so, lib/libmxnet.a, lib/libtvm.so, lib/libtvmop.so, libsample_lib.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a, 3rdparty/ps-lite/build/libps.a, deps/lib/libprotobuf-lite.a, deps/lib/libzmq.a, build/cpp-package/example/*, python/mxnet/_cy2/*.so, python/mxnet/_cy3/*.so'
+mx_lib_cpp_examples_cpu = 'build/libmxnet.so, build/3rdparty/tvm/libtvm.so, build/libtvmop.so, build/cpp-package/example/*'
// Python unittest for CPU
// Python 2
diff --git a/scala-package/assembly/src/main/assembly/assembly.xml b/scala-package/assembly/src/main/assembly/assembly.xml
index bcc5408..0588244 100644
--- a/scala-package/assembly/src/main/assembly/assembly.xml
+++ b/scala-package/assembly/src/main/assembly/assembly.xml
@@ -54,7 +54,7 @@
<directory>${MXNET_DIR}/lib</directory>
<includes>
<include>libmxnet.so</include>
- <include>libtvm_runtime.so</include>
+ <include>libtvm.so</include>
<include>libgfortran.so.3</include>
<include>libquadmath.so.0</include>
<include>libiomp5.so</include>
diff --git a/scala-package/core/src/main/scala/org/apache/mxnet/util/NativeLibraryLoader.scala b/scala-package/core/src/main/scala/org/apache/mxnet/util/NativeLibraryLoader.scala
index 9609ba2..5d95745 100644
--- a/scala-package/core/src/main/scala/org/apache/mxnet/util/NativeLibraryLoader.scala
+++ b/scala-package/core/src/main/scala/org/apache/mxnet/util/NativeLibraryLoader.scala
@@ -86,7 +86,7 @@ private[mxnet] object NativeLibraryLoader {
logger.debug(s"Attempting to load $loadLibname")
val libFileInJar = libPathInJar + loadLibname
saveLibraryToTemp("libmxnet.so", "/lib/native/libmxnet.so", true)
- saveLibraryToTemp("libtvm_runtime.so", "/lib/native/libtvm_runtime.so", false)
+ saveLibraryToTemp("libtvm.so", "/lib/native/libtvm.so", false)
saveLibraryToTemp("libgfortran.so.3", "/lib/native/libgfortran.so.3", false)
saveLibraryToTemp("libquadmath.so.0", "/lib/native/libquadmath.so.0", false)
saveLibraryToTemp("libiomp5.so", "/lib/native/libiomp5.so", false)
diff --git a/src/imperative/cached_op.cc b/src/imperative/cached_op.cc
index 6818d75..14e9527 100644
--- a/src/imperative/cached_op.cc
+++ b/src/imperative/cached_op.cc
@@ -25,6 +25,18 @@
#include "../operator/operator_common.h"
#include "../operator/subgraph/common.h"
+#if MXNET_USE_TVM_OP
+#ifndef MXNET_AMALGAMATION
+#include <tvm/node/node.h>
+namespace mxnet {
+namespace v3 {
+namespace nnvm_relay_bridge {
+tvm::NodeRef NNVMToRelay(const nnvm::Graph &g);
+} // namespace nnvm_relay_bridge
+} // namespace v3
+} // namespace mxnet
+#endif // MXNET_AMALGAMATION
+#endif // MXNET_USE_TVM_OP
namespace mxnet {
@@ -312,7 +324,9 @@ bool CachedOp::SetForwardGraph(
using namespace imperative;
CHECK_EQ(inputs.size(), num_inputs());
nnvm::Graph& g = info->fwd_graph;
-
+#if MXNET_USE_TVM_OP && !defined MXNET_AMALGAMATION
+ v3::nnvm_relay_bridge::NNVMToRelay(g);
+#endif // MXNET_USE_TVM_OP && !define MXNET_AMALGAMATION
ShapeVector shape_inputs;
DTypeVector dtype_inputs;
StorageTypeVector storage_type_inputs;
diff --git a/src/v3/src/nnvm_relay_bridge.cc b/src/v3/src/nnvm_relay_bridge.cc
new file mode 100644
index 0000000..298ce65
--- /dev/null
+++ b/src/v3/src/nnvm_relay_bridge.cc
@@ -0,0 +1,182 @@
+/*
+ * 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.
+ */
+
+/*!
+ * Copyright (c) 2019 by Contributors
+ * \file nnvm_relay_bridge.cc
+ * \author Junru Shao
+ */
+#if MXNET_USE_TVM_OP
+#ifndef MXNET_AMALGAMATION
+#include <nnvm/graph.h>
+#include <tvm/relay/expr.h>
+#include <tvm/relay/op.h>
+#include <tvm/node/container.h>
+#include <tvm/node/node.h>
+
+namespace mxnet {
+namespace v3 {
+namespace nnvm_relay_bridge {
+
+using tvm::relay::Expr;
+using tvm::relay::TupleGetItemNode;
+using tvm::relay::FunctionNode;
+using tvm::relay::Var;
+using tvm::relay::VarNode;
+using tvm::relay::CallNode;
+using tvm::relay::TupleNode;
+using tvm::relay::LetNode;
+using tvm::NodeRef;
+using tvm::Array;
+
+static void PrintIndexedGraph(const nnvm::Graph &g) {
+ const auto &idx = g.indexed_graph();
+ std::unordered_set<int> input_nodes(idx.input_nodes().begin(),
+ idx.input_nodes().end());
+ std::cout << idx.num_nodes() << " nodes, " << input_nodes.size()
+ << " input nodes" << std::endl;
+ int n_nodes = idx.num_nodes();
+ for (int i = 0, input_cnt = 0; i < n_nodes; ++i) {
+ const nnvm::Node *node = idx[i].source;
+ const nnvm::Op *op = node->op();
+ std::string op_name = op ? op->name : "None";
+ if (input_nodes.count(i)) {
+ input_cnt += 1;
+ op_name = (op ? op->name + " [input " : "[input ") + std::to_string(input_cnt) + "]";
+ } else {
+ op_name = op ? op->name : "None";
+ }
+ std::cout << " i = " << i << ", op = " << op_name
+ << ", #(input node entries) = " << idx[i].inputs.size()
+ << std::endl;
+ int j_cnt = 0;
+ for (const nnvm::IndexedGraph::NodeEntry &j : idx[i].inputs) {
+ std::cout << " input entry #" << ++j_cnt
+ << ", entry_id = " << idx.entry_id(j)
+ << ", (node_id = " << j.node_id << ", index = " << j.index
+ << ", version = " << j.version << ")"
+ << std::endl;
+ }
+ for (int j_cnt = 0, n_out = node->num_outputs(); j_cnt < n_out; ++j_cnt) {
+ uint32_t entry_id = idx.entry_id(i, j_cnt);
+ std::cout << " output entry #" << j_cnt + 1
+ << ", entry_id = " << entry_id
+ << std::endl;
+ }
+ }
+ std::cout << idx.outputs().size() << " output node entries: "
+ << std::endl;
+ int j_cnt = 0;
+ for (const nnvm::IndexedGraph::NodeEntry &j : idx.outputs()) {
+ std::cout << " output entry #" << ++j_cnt
+ << ", entry_id = " << idx.entry_id(j)
+ << ", (node_id = " << j.node_id << ", index = " << j.index
+ << ", version = " << j.version << ")"
+ << std::endl;
+ }
+}
+
+NodeRef NNVMToRelay(const nnvm::Graph &g) {
+ PrintIndexedGraph(g);
+ const auto &idx = g.indexed_graph();
+ int n_nodes = idx.num_nodes();
+ // maps: node -> var
+ std::vector<Var> node2var(n_nodes);
+ // maps: (node, output_index) -> var
+ std::vector<std::vector<Var> > entries(n_nodes);
+ // maps: node -> #outputs of the node
+ std::vector<int> n_outputs(n_nodes);
+ for (int node_id = 0, input_cnt = 0, compute_cnt = 0; node_id < n_nodes; ++node_id) {
+ const nnvm::Node *node = idx[node_id].source;
+ int n_out = node->num_outputs();
+ n_outputs[node_id] = n_out;
+ std::string name = node->is_variable() ?
+ "arg_" + std::to_string(++input_cnt) :
+ "x_" + std::to_string(++compute_cnt);
+ Var var = node2var[node_id] = VarNode::make(name, {});
+ std::vector<Var> &outputs = entries[node_id];
+ if (n_out == 1) {
+ outputs.push_back(var);
+ } else {
+ outputs.reserve(n_out);
+ for (int i = 0; i < n_out; ++i) {
+ outputs.push_back(VarNode::make(name + "#" + std::to_string(i), {}));
+ }
+ }
+ }
+ // Create the let list
+ std::vector<std::pair<Var, Expr> > let_list;
+ for (int node_id = 0; node_id < n_nodes; ++node_id) {
+ const Var &var = node2var[node_id];
+ const nnvm::IndexedGraph::Node &node = idx[node_id];
+ int n_out = n_outputs[node_id];
+ if (node.source->is_variable()) {
+ CHECK_EQ(n_out, 1) << "InternalError: internal assumption violation";
+ continue;
+ }
+ // Create call_args
+ std::vector<Expr> call_args;
+ for (const nnvm::IndexedGraph::NodeEntry &input : node.inputs) {
+ CHECK_LT((int)input.node_id, node_id) << "InternalError: IndexedGraph is not topo-sorted";
+ call_args.push_back(entries[input.node_id][input.index]);
+ }
+ // TODO(@junrushao1994): map attrs
+ // Add a CallNode
+ let_list.push_back({var, CallNode::make(tvm::relay::Op::Get("add"), call_args)});
+ // Add logic for de-tuple
+ if (n_out > 1) {
+ for (int index = 0; index < n_out; ++index) {
+ let_list.push_back(std::make_pair(
+ entries[node_id][index],
+ TupleGetItemNode::make(var, index)));
+ }
+ }
+ }
+ // Find input arguments to the function
+ Array<Var> params;
+ for (int node_id = 0; node_id < n_nodes; ++node_id) {
+ const nnvm::Node *node = idx[node_id].source;
+ if (node->is_variable()) {
+ params.push_back(node2var[node_id]);
+ }
+ }
+ // Find outputs of the function
+ Expr body;
+ {
+ // 1) Find outputs
+ Array<Expr> outputs;
+ for (const nnvm::IndexedGraph::NodeEntry &j : idx.outputs()) {
+ outputs.push_back(entries[j.node_id][j.index]);
+ }
+ body = TupleNode::make(std::move(outputs));
+ // 2) Construct let out of let-list
+ for ( ; !let_list.empty(); let_list.pop_back()) {
+ const std::pair<Var, Expr> &last = let_list.back();
+ body = LetNode::make(last.first, last.second, body);
+ }
+ }
+ // Then we are able to construct the function
+ return FunctionNode::make(std::move(params), std::move(body), {}, {}, {});
+}
+
+} // namespace nnvm_relay_bridge
+} // namespace v3
+} // namespace mxnet
+#endif // MXNET_AMALGAMATION
+#endif // MXNET_USE_TVM_OP
diff --git a/tests/nightly/JenkinsfileForBinaries b/tests/nightly/JenkinsfileForBinaries
index 5158274..e825492 100755
--- a/tests/nightly/JenkinsfileForBinaries
+++ b/tests/nightly/JenkinsfileForBinaries
@@ -18,8 +18,8 @@
//
//This is a Jenkinsfile for nightly tests. The format and some functions have been picked up from the top-level Jenkinsfile
-mx_lib = 'lib/libmxnet.so, lib/libmxnet.a, lib/libtvm_runtime.so, lib/libtvmop.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a'
-mx_cmake_lib = 'build/libmxnet.so, build/libmxnet.a, build/3rdparty/tvm/libtvm_runtime.so, build/libtvmop.so, build/3rdparty/dmlc-core/libdmlc.a, build/tests/mxnet_unit_tests, build/3rdparty/openmp/runtime/src/libomp.so'
+mx_lib = 'lib/libmxnet.so, lib/libmxnet.a, lib/libtvm.so, lib/libtvmop.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a'
+mx_cmake_lib = 'build/libmxnet.so, build/libmxnet.a, build/3rdparty/tvm/libtvm.so, build/libtvmop.so, build/3rdparty/dmlc-core/libdmlc.a, build/tests/mxnet_unit_tests, build/3rdparty/openmp/runtime/src/libomp.so'
node('utility') {
// Loading the utilities requires a node context unfortunately
diff --git a/tests/nightly/model_backwards_compatibility_check/JenkinsfileForMBCC b/tests/nightly/model_backwards_compatibility_check/JenkinsfileForMBCC
index 725261d..7d95e3c 100644
--- a/tests/nightly/model_backwards_compatibility_check/JenkinsfileForMBCC
+++ b/tests/nightly/model_backwards_compatibility_check/JenkinsfileForMBCC
@@ -18,7 +18,7 @@
//
//This is a Jenkinsfile for the model backwards compatibility checker. The format and some functions have been picked up from the top-level Jenkinsfile.
-mx_lib = 'lib/libmxnet.so, lib/libmxnet.a, lib/libtvm_runtime.so,lib/libtvmop.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a'
+mx_lib = 'lib/libmxnet.so, lib/libmxnet.a, lib/libtvm.so,lib/libtvmop.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a'
node('restricted-utility') {
// Loading the utilities requires a node context unfortunately
[incubator-mxnet] 02/03: [IR-Bridge] Support attrs for operators:
convolution, batch norm, relu (#16351)
Posted by ju...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
junrushao pushed a commit to branch ir-patch
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
commit 5361b9bbe83dcc6a0da580c39e405c004abf0b62
Author: Junru Shao <ju...@gmail.com>
AuthorDate: Wed Oct 9 23:01:24 2019 -0700
[IR-Bridge] Support attrs for operators: convolution, batch norm, relu (#16351)
* Rebased
* Trigger CI
* ...
* Trigger CI
* Trigger CI
* Trigger CI
* ...
* ...
* ...
* Trigger CI
* Trigger CI
* Trigger CI
* Trigger CI
* ...
* ...
---
Makefile | 4 +-
src/imperative/cached_op.cc | 14 +-
src/v3/include/bridge/legacy_nnvm.h | 64 +++++++
src/v3/include/ir.h | 188 +++++++++++++++++++++
src/v3/include/op/attrs/nn.h | 71 ++++++++
src/v3/src/bridge/legacy_nnvm/attrs.cc | 120 +++++++++++++
.../legacy_nnvm/ir.cc} | 109 ++++++------
src/v3/src/op/attrs.cc | 40 +++++
tests/python/unittest/test_numpy_op.py | 9 +-
9 files changed, 561 insertions(+), 58 deletions(-)
diff --git a/Makefile b/Makefile
index b18edf0..3a675cd 100644
--- a/Makefile
+++ b/Makefile
@@ -462,7 +462,7 @@ endif
all: lib/libmxnet.a lib/libmxnet.so $(BIN) extra-packages sample_lib
-SRC = $(wildcard src/*/*/*/*.cc src/*/*/*.cc src/*/*.cc src/*.cc)
+SRC = $(wildcard src/*/*/*/*/*/*.cc src/*/*/*/*/*.cc src/*/*/*/*.cc src/*/*/*.cc src/*/*.cc src/*.cc)
OBJ = $(patsubst %.cc, build/%.o, $(SRC))
CUSRC = $(wildcard src/*/*/*/*.cu src/*/*/*.cu src/*/*.cu src/*.cu)
CUOBJ = $(patsubst %.cu, build/%_gpu.o, $(CUSRC))
@@ -795,6 +795,8 @@ clean_all: clean
-include build/*/*.d
-include build/*/*/*.d
-include build/*/*/*/*.d
+-include build/*/*/*/*/*.d
+-include build/*/*/*/*/*/*.d
ifneq ($(EXTRA_OPERATORS),)
-include $(patsubst %, %/*.d, $(EXTRA_OPERATORS)) $(patsubst %, %/*/*.d, $(EXTRA_OPERATORS))
endif
diff --git a/src/imperative/cached_op.cc b/src/imperative/cached_op.cc
index 14e9527..5180c7f 100644
--- a/src/imperative/cached_op.cc
+++ b/src/imperative/cached_op.cc
@@ -25,18 +25,18 @@
#include "../operator/operator_common.h"
#include "../operator/subgraph/common.h"
-#if MXNET_USE_TVM_OP
-#ifndef MXNET_AMALGAMATION
+#if MXNET_USE_TVM_OP && !defined MXNET_AMALGAMATION
#include <tvm/node/node.h>
namespace mxnet {
namespace v3 {
-namespace nnvm_relay_bridge {
+namespace bridge {
+namespace legacy_nnvm {
tvm::NodeRef NNVMToRelay(const nnvm::Graph &g);
-} // namespace nnvm_relay_bridge
+} // namespace legacy_nnvm
+} // namespace bridge
} // namespace v3
} // namespace mxnet
-#endif // MXNET_AMALGAMATION
-#endif // MXNET_USE_TVM_OP
+#endif
namespace mxnet {
@@ -325,7 +325,7 @@ bool CachedOp::SetForwardGraph(
CHECK_EQ(inputs.size(), num_inputs());
nnvm::Graph& g = info->fwd_graph;
#if MXNET_USE_TVM_OP && !defined MXNET_AMALGAMATION
- v3::nnvm_relay_bridge::NNVMToRelay(g);
+ v3::bridge::legacy_nnvm::NNVMToRelay(g);
#endif // MXNET_USE_TVM_OP && !define MXNET_AMALGAMATION
ShapeVector shape_inputs;
DTypeVector dtype_inputs;
diff --git a/src/v3/include/bridge/legacy_nnvm.h b/src/v3/include/bridge/legacy_nnvm.h
new file mode 100644
index 0000000..e2c99a5
--- /dev/null
+++ b/src/v3/include/bridge/legacy_nnvm.h
@@ -0,0 +1,64 @@
+/*
+ * 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.
+ */
+
+/*!
+ * Copyright (c) 2019 by Contributors
+ * \file legacy_nnvm.h
+ * \author Junru Shao
+ */
+#pragma once
+#if MXNET_USE_TVM_OP && !defined MXNET_AMALGAMATION
+#include <nnvm/node.h>
+
+#include "../ir.h"
+
+namespace nnvm {
+class Op;
+class Graph;
+} // namespace nnvm
+
+namespace mxnet {
+namespace v3 {
+namespace bridge {
+namespace legacy_nnvm {
+
+class NNVMCapsuleNode final : public ir::Node {
+ public:
+ nnvm::NodeAttrs attrs;
+ void VisitAttrs(tvm::AttrVisitor *v) final {}
+ static constexpr const char *_type_key = "mxnet.v3.bridge.NNVMCapsule";
+ MX_V3_DEF_NODE_TYPE_INFO(NNVMCapsuleNode, ir::Node);
+};
+
+class NNVMCapsule final : public ir::NodeRef {
+ public:
+ MX_V3_DEF_NODE_REF_METHODS(NNVMCapsule, ir::NodeRef, NNVMCapsuleNode);
+ static NNVMCapsule make(const nnvm::NodeAttrs &attrs);
+};
+
+ir::Call ConvertCall(const nnvm::Op *op, const nnvm::NodeAttrs &attrs,
+ const ir::Array<ir::Expr> &args);
+
+ir::Function NNVMToRelay(const nnvm::Graph &g);
+
+} // namespace legacy_nnvm
+} // namespace bridge
+} // namespace v3
+} // namespace mxnet
+#endif
diff --git a/src/v3/include/ir.h b/src/v3/include/ir.h
new file mode 100644
index 0000000..24440bc
--- /dev/null
+++ b/src/v3/include/ir.h
@@ -0,0 +1,188 @@
+/*
+ * 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.
+ */
+/*!
+ * Copyright (c) 2019 by Contributors
+ * \file ir.h
+ * \author Junru Shao
+ */
+#pragma once
+#if MXNET_USE_TVM_OP && !defined MXNET_AMALGAMATION
+// This is a compatibility layer between MXNet v3 and Relay
+// We will borrow basically everything from TVM/Relay to here.
+
+#include <tvm/attrs.h>
+#include <tvm/ir.h>
+#include <tvm/runtime/c_runtime_api.h>
+#include <tvm/runtime/packed_func.h>
+#include <tvm/node/container.h>
+#include <tvm/node/memory.h>
+#include <tvm/node/node.h>
+#include <tvm/relay/base.h>
+#include <tvm/relay/expr.h>
+#include <tvm/relay/expr_functor.h>
+#include <tvm/relay/module.h>
+#include <tvm/relay/op.h>
+#include <tvm/relay/op_attr_types.h>
+#include <tvm/relay/type.h>
+
+namespace mxnet {
+namespace v3 {
+namespace ir {
+
+using tvm::Array;
+using tvm::Attrs;
+using tvm::AttrsNode;
+using tvm::Downcast;
+using tvm::GetRef;
+using tvm::Integer;
+using tvm::IntImm;
+using tvm::make_node;
+using tvm::Map;
+using tvm::MapNode;
+using tvm::Node;
+using tvm::NodePtr;
+using tvm::NullValue;
+
+using tvm::relay::DataType;
+using tvm::relay::IndexExpr;
+using tvm::relay::NodeEqual;
+using tvm::relay::NodeHash;
+using tvm::relay::NodeRef;
+
+// Relay Expression
+using tvm::relay::Expr;
+using tvm::relay::ExprNode;
+
+using tvm::relay::FTVMCompute;
+using tvm::relay::FTVMSchedule;
+using tvm::relay::TOpPattern;
+using tvm::relay::Op;
+using tvm::relay::OpNode;
+
+using tvm::relay::Tuple;
+using tvm::relay::TupleNode;
+
+using tvm::relay::Var;
+using tvm::relay::VarNode;
+
+using tvm::relay::GlobalVar;
+using tvm::relay::GlobalVarNode;
+
+using tvm::relay::Function;
+using tvm::relay::FunctionNode;
+
+using tvm::relay::Call;
+using tvm::relay::CallNode;
+
+using tvm::relay::Let;
+using tvm::relay::LetNode;
+
+using tvm::relay::If;
+using tvm::relay::IfNode;
+
+using tvm::relay::TupleGetItem;
+using tvm::relay::TupleGetItemNode;
+
+using tvm::relay::RefCreate;
+using tvm::relay::RefCreateNode;
+
+using tvm::relay::RefRead;
+using tvm::relay::RefReadNode;
+
+using tvm::relay::RefWrite;
+using tvm::relay::RefWriteNode;
+
+using tvm::relay::TempExpr;
+using tvm::relay::TempExprNode;
+
+// Relay Types
+using tvm::relay::Kind;
+
+using tvm::relay::Type;
+using tvm::relay::TypeNode;
+
+using tvm::relay::BaseTensorType;
+using tvm::relay::BaseTensorTypeNode;
+
+using tvm::relay::TensorType;
+using tvm::relay::TensorTypeNode;
+
+using tvm::relay::TypeVar;
+using tvm::relay::TypeVarNode;
+
+using tvm::relay::GlobalTypeVar;
+using tvm::relay::GlobalTypeVarNode;
+
+using tvm::relay::TypeCall;
+using tvm::relay::TypeCallNode;
+
+using tvm::relay::IncompleteType;
+using tvm::relay::IncompleteTypeNode;
+
+using tvm::relay::FuncType;
+using tvm::relay::FuncTypeNode;
+
+using tvm::relay::TupleType;
+using tvm::relay::TupleTypeNode;
+
+using tvm::relay::RefType;
+using tvm::relay::RefTypeNode;
+
+using tvm::relay::TypeConstraint;
+using tvm::relay::TypeConstraintNode;
+
+using tvm::relay::TypeRelation;
+using tvm::relay::TypeRelationNode;
+
+using tvm::relay::TypeReporter;
+
+// Relay Functors
+using tvm::relay::ExprFunctor;
+
+} // namespace ir
+} // namespace v3
+} // namespace mxnet
+
+#define MX_V3_DEF_NODE_TYPE_INFO(TypeName, Parent) TVM_DECLARE_NODE_TYPE_INFO(TypeName, Parent)
+
+#define MX_V3_DEF_BASE_NODE_INFO(TypeName, Parent) TVM_DECLARE_BASE_NODE_INFO(TypeName, Parent)
+
+#define MX_V3_DEF_NODE_REF_METHODS(TypeName, BaseTypeName, NodeName) \
+ TypeName() { \
+ } \
+ explicit TypeName(::tvm::NodePtr<::tvm::Node> n) : BaseTypeName(n) { \
+ } \
+ NodeName* operator->() const { \
+ return static_cast<NodeName*>(node_.get()); \
+ } \
+ operator bool() const { \
+ return this->defined(); \
+ } \
+ using ContainerType = NodeName;
+
+#define MX_V3_DECLARE_ATTRS TVM_DECLARE_ATTRS
+
+#define MX_V3_ATTR_FIELD TVM_ATTR_FIELD
+
+#define MX_V3_REGISTER_NODE_TYPE TVM_REGISTER_NODE_TYPE
+
+#define MX_V3_REGISTER_OP RELAY_REGISTER_OP
+
+#define MX_V3_ADD_FILELINE TVM_ADD_FILELINE
+#endif
diff --git a/src/v3/include/op/attrs/nn.h b/src/v3/include/op/attrs/nn.h
new file mode 100644
index 0000000..cd07603
--- /dev/null
+++ b/src/v3/include/op/attrs/nn.h
@@ -0,0 +1,71 @@
+/*
+ * 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.
+ */
+/*!
+ * Copyright (c) 2019 by Contributors
+ * \file nn.h
+ * \author Junru Shao
+ */
+#pragma once
+#if MXNET_USE_TVM_OP && !defined MXNET_AMALGAMATION
+#include <string>
+
+#include "../../ir.h"
+
+namespace mxnet {
+namespace v3 {
+namespace op {
+namespace attrs {
+
+class ConvAttrs : public ir::AttrsNode<ConvAttrs> {
+ public:
+ ir::Array<ir::Integer> stride = {1};
+ ir::Array<ir::Integer> padding = {0};
+ ir::Array<ir::Integer> dilation = {1};
+ int64_t groups = 1;
+ std::string layout = "INVALID";
+ ir::NodeRef capsule{nullptr};
+
+ MX_V3_DECLARE_ATTRS(ConvAttrs, "mxnet.v3.attrs.ConvAttrs") {
+ MX_V3_ATTR_FIELD(stride); // {w}, {h, w}, {d, h, w}
+ MX_V3_ATTR_FIELD(padding); // {w}, {h, w}, {d, h, w}
+ MX_V3_ATTR_FIELD(dilation); // {w}, {h, w}, {d, h, w}
+ MX_V3_ATTR_FIELD(groups);
+ MX_V3_ATTR_FIELD(layout);
+ }
+};
+
+class BatchNormAttrs : public ir::AttrsNode<BatchNormAttrs> {
+ public:
+ double eps = 1e-5;
+ double momentum = 0.1;
+ bool affine = true;
+ ir::NodeRef capsule{nullptr};
+
+ MX_V3_DECLARE_ATTRS(ConvAttrs, "mxnet.v3.attrs.BatchNormAttrs") {
+ MX_V3_ATTR_FIELD(eps);
+ MX_V3_ATTR_FIELD(momentum);
+ MX_V3_ATTR_FIELD(affine);
+ }
+};
+
+} // namespace attrs
+} // namespace op
+} // namespace v3
+} // namespace mxnet
+#endif
diff --git a/src/v3/src/bridge/legacy_nnvm/attrs.cc b/src/v3/src/bridge/legacy_nnvm/attrs.cc
new file mode 100644
index 0000000..e88563d
--- /dev/null
+++ b/src/v3/src/bridge/legacy_nnvm/attrs.cc
@@ -0,0 +1,120 @@
+/*
+ * 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.
+ */
+/*!
+ * Copyright (c) 2019 by Contributors
+ * \file attrs.cc
+ * \author Junru Shao
+ */
+#if MXNET_USE_TVM_OP && !defined MXNET_AMALGAMATION
+#include <nnvm/node.h>
+
+#include "../../../../operator/nn/activation-inl.h"
+#include "../../../../operator/nn/batch_norm-inl.h"
+#include "../../../../operator/nn/convolution-inl.h"
+#undef Assign
+
+#include "../../../include/bridge/legacy_nnvm.h"
+#include "../../../include/op/attrs/nn.h"
+
+namespace mxnet {
+namespace v3 {
+namespace bridge {
+namespace legacy_nnvm {
+
+using ir::Array;
+using ir::Attrs;
+using ir::Call;
+using ir::CallNode;
+using ir::Integer;
+using ir::Op;
+
+static Array<Integer> AsArray(const mxnet::TShape &from) {
+ Array<Integer> result;
+ for (const auto &item : from) {
+ result.push_back(Integer(item));
+ }
+ return result;
+}
+
+static Attrs ConvertAttrs(const mxnet::op::ConvolutionParam &attrs,
+ const nnvm::NodeAttrs node_attrs) {
+ static std::unordered_map<int, std::string> layout_map = {
+ {mshadow::kNCW, "NCW"}, // 1-d conv
+ {mshadow::kNCHW, "NCHW"}, // 2-d conv
+ {mshadow::kNHWC, "NHWC"}, // 2-d conv
+ {mshadow::kNCDHW, "NCDHW"}, // 3-d conv
+ {mshadow::kNDHWC, "NDHWC"}, // 3-d conv
+ };
+ auto relay_attrs = ir::make_node<v3::op::attrs::ConvAttrs>();
+ relay_attrs->stride = AsArray(attrs.stride);
+ relay_attrs->dilation = AsArray(attrs.dilate);
+ relay_attrs->padding = AsArray(attrs.pad);
+ relay_attrs->groups = attrs.num_group;
+ relay_attrs->layout = layout_map[attrs.layout.value()];
+ relay_attrs->capsule = NNVMCapsule::make(node_attrs);
+ return ir::Attrs(relay_attrs);
+}
+
+static Attrs ConvertAttrs(const mxnet::op::BatchNormParam &attrs,
+ const nnvm::NodeAttrs &node_attrs) {
+ auto relay_attrs = ir::make_node<v3::op::attrs::BatchNormAttrs>();
+ relay_attrs->eps = attrs.eps;
+ relay_attrs->momentum = attrs.momentum;
+ relay_attrs->affine = !attrs.fix_gamma;
+ relay_attrs->capsule = NNVMCapsule::make(node_attrs);
+ return ir::Attrs(relay_attrs);
+}
+
+Call ConvertCall(const nnvm::Op *op, const nnvm::NodeAttrs &attrs,
+ const ir::Array<ir::Expr> &args) {
+ CHECK(op != nullptr) << "InternalError: operator undefined.";
+ if (op->name == "Convolution") {
+ static const Op &op = Op::Get("nn.conv2d");
+ const auto &nnvm_attrs =
+ nnvm::get<mxnet::op::ConvolutionParam>(attrs.parsed);
+ return CallNode::make(op, args, ConvertAttrs(nnvm_attrs, attrs));
+ } else if (op->name == "BatchNorm") {
+ static const Op &op = Op::Get("nn.batch_norm");
+ const auto &nnvm_attrs = nnvm::get<mxnet::op::BatchNormParam>(attrs.parsed);
+ return CallNode::make(op, args, ConvertAttrs(nnvm_attrs, attrs));
+ } else if (op->name == "elemwise_add") {
+ static const Op &op = Op::Get("add");
+ return CallNode::make(op, args, {});
+ } else if (op->name == "Activation") {
+ static std::unordered_map<int, Op> op_map = {
+ {mxnet::op::activation::kReLU, Op::Get("nn.relu")},
+ {mxnet::op::activation::kSigmoid, Op::Get("sigmoid")},
+ {mxnet::op::activation::kTanh, Op::Get("tanh")},
+ };
+ const auto &nnvm_attrs =
+ nnvm::get<mxnet::op::ActivationParam>(attrs.parsed);
+ if (op_map.count(nnvm_attrs.act_type)) {
+ return CallNode::make(op_map[nnvm_attrs.act_type], args, {});
+ }
+ }
+ LOG(INFO) << "Warning: cannot recognize NNVM operator " << op->name
+ << ", fallback to add";
+ return CallNode::make(Op::Get("add"), args, {}, {});
+}
+
+} // namespace legacy_nnvm
+} // namespace bridge
+} // namespace v3
+} // namespace mxnet
+#endif
diff --git a/src/v3/src/nnvm_relay_bridge.cc b/src/v3/src/bridge/legacy_nnvm/ir.cc
similarity index 67%
rename from src/v3/src/nnvm_relay_bridge.cc
rename to src/v3/src/bridge/legacy_nnvm/ir.cc
index 298ce65..4367315 100644
--- a/src/v3/src/nnvm_relay_bridge.cc
+++ b/src/v3/src/bridge/legacy_nnvm/ir.cc
@@ -19,31 +19,38 @@
/*!
* Copyright (c) 2019 by Contributors
- * \file nnvm_relay_bridge.cc
+ * \file ir.cc
* \author Junru Shao
*/
-#if MXNET_USE_TVM_OP
-#ifndef MXNET_AMALGAMATION
+#if MXNET_USE_TVM_OP && !defined MXNET_AMALGAMATION
#include <nnvm/graph.h>
-#include <tvm/relay/expr.h>
-#include <tvm/relay/op.h>
-#include <tvm/node/container.h>
-#include <tvm/node/node.h>
+
+#include "../../../include/bridge/legacy_nnvm.h"
+#include "../../../include/ir.h"
+#include "../../../include/op/attrs/nn.h"
namespace mxnet {
namespace v3 {
-namespace nnvm_relay_bridge {
+namespace bridge {
+namespace legacy_nnvm {
+
+using ir::Array;
+using ir::CallNode;
+using ir::Expr;
+using ir::Function;
+using ir::FunctionNode;
+using ir::LetNode;
+using ir::NodeRef;
+using ir::TupleGetItemNode;
+using ir::TupleNode;
+using ir::Var;
+using ir::VarNode;
-using tvm::relay::Expr;
-using tvm::relay::TupleGetItemNode;
-using tvm::relay::FunctionNode;
-using tvm::relay::Var;
-using tvm::relay::VarNode;
-using tvm::relay::CallNode;
-using tvm::relay::TupleNode;
-using tvm::relay::LetNode;
-using tvm::NodeRef;
-using tvm::Array;
+NNVMCapsule NNVMCapsule::make(const nnvm::NodeAttrs &attrs) {
+ auto node = ir::make_node<NNVMCapsuleNode>();
+ node->attrs = attrs;
+ return NNVMCapsule(node);
+}
static void PrintIndexedGraph(const nnvm::Graph &g) {
const auto &idx = g.indexed_graph();
@@ -58,7 +65,8 @@ static void PrintIndexedGraph(const nnvm::Graph &g) {
std::string op_name = op ? op->name : "None";
if (input_nodes.count(i)) {
input_cnt += 1;
- op_name = (op ? op->name + " [input " : "[input ") + std::to_string(input_cnt) + "]";
+ op_name = (op ? op->name + " [input " : "[input ") +
+ std::to_string(input_cnt) + "]";
} else {
op_name = op ? op->name : "None";
}
@@ -66,49 +74,49 @@ static void PrintIndexedGraph(const nnvm::Graph &g) {
<< ", #(input node entries) = " << idx[i].inputs.size()
<< std::endl;
int j_cnt = 0;
+ for (const auto &attr : node->attrs.dict) {
+ std::cout << " " << attr.first << " = " << attr.second << std::endl;
+ }
for (const nnvm::IndexedGraph::NodeEntry &j : idx[i].inputs) {
std::cout << " input entry #" << ++j_cnt
<< ", entry_id = " << idx.entry_id(j)
<< ", (node_id = " << j.node_id << ", index = " << j.index
- << ", version = " << j.version << ")"
- << std::endl;
+ << ", version = " << j.version << ")" << std::endl;
}
for (int j_cnt = 0, n_out = node->num_outputs(); j_cnt < n_out; ++j_cnt) {
uint32_t entry_id = idx.entry_id(i, j_cnt);
std::cout << " output entry #" << j_cnt + 1
- << ", entry_id = " << entry_id
- << std::endl;
+ << ", entry_id = " << entry_id << std::endl;
}
}
- std::cout << idx.outputs().size() << " output node entries: "
- << std::endl;
+ std::cout << idx.outputs().size() << " output node entries: " << std::endl;
int j_cnt = 0;
for (const nnvm::IndexedGraph::NodeEntry &j : idx.outputs()) {
std::cout << " output entry #" << ++j_cnt
<< ", entry_id = " << idx.entry_id(j)
<< ", (node_id = " << j.node_id << ", index = " << j.index
- << ", version = " << j.version << ")"
- << std::endl;
+ << ", version = " << j.version << ")" << std::endl;
}
}
-NodeRef NNVMToRelay(const nnvm::Graph &g) {
+Function NNVMToRelay(const nnvm::Graph &g) {
PrintIndexedGraph(g);
const auto &idx = g.indexed_graph();
int n_nodes = idx.num_nodes();
// maps: node -> var
std::vector<Var> node2var(n_nodes);
// maps: (node, output_index) -> var
- std::vector<std::vector<Var> > entries(n_nodes);
+ std::vector<std::vector<Var>> entries(n_nodes);
// maps: node -> #outputs of the node
std::vector<int> n_outputs(n_nodes);
- for (int node_id = 0, input_cnt = 0, compute_cnt = 0; node_id < n_nodes; ++node_id) {
+ for (int node_id = 0, input_cnt = 0, compute_cnt = 0; node_id < n_nodes;
+ ++node_id) {
const nnvm::Node *node = idx[node_id].source;
int n_out = node->num_outputs();
n_outputs[node_id] = n_out;
- std::string name = node->is_variable() ?
- "arg_" + std::to_string(++input_cnt) :
- "x_" + std::to_string(++compute_cnt);
+ std::string name = node->is_variable()
+ ? "arg_" + std::to_string(++input_cnt)
+ : "x_" + std::to_string(++compute_cnt);
Var var = node2var[node_id] = VarNode::make(name, {});
std::vector<Var> &outputs = entries[node_id];
if (n_out == 1) {
@@ -121,30 +129,30 @@ NodeRef NNVMToRelay(const nnvm::Graph &g) {
}
}
// Create the let list
- std::vector<std::pair<Var, Expr> > let_list;
+ std::vector<std::pair<Var, Expr>> let_list;
for (int node_id = 0; node_id < n_nodes; ++node_id) {
const Var &var = node2var[node_id];
const nnvm::IndexedGraph::Node &node = idx[node_id];
int n_out = n_outputs[node_id];
- if (node.source->is_variable()) {
+ const auto &src = node.source;
+ if (src->is_variable()) {
CHECK_EQ(n_out, 1) << "InternalError: internal assumption violation";
continue;
}
// Create call_args
- std::vector<Expr> call_args;
+ Array<Expr> call_args;
for (const nnvm::IndexedGraph::NodeEntry &input : node.inputs) {
- CHECK_LT((int)input.node_id, node_id) << "InternalError: IndexedGraph is not topo-sorted";
+ CHECK_LT((int)input.node_id, node_id)
+ << "InternalError: IndexedGraph is not topo-sorted";
call_args.push_back(entries[input.node_id][input.index]);
}
- // TODO(@junrushao1994): map attrs
// Add a CallNode
- let_list.push_back({var, CallNode::make(tvm::relay::Op::Get("add"), call_args)});
+ let_list.push_back({var, ConvertCall(src->op(), src->attrs, call_args)});
// Add logic for de-tuple
if (n_out > 1) {
for (int index = 0; index < n_out; ++index) {
- let_list.push_back(std::make_pair(
- entries[node_id][index],
- TupleGetItemNode::make(var, index)));
+ let_list.push_back(std::make_pair(entries[node_id][index],
+ TupleGetItemNode::make(var, index)));
}
}
}
@@ -164,9 +172,14 @@ NodeRef NNVMToRelay(const nnvm::Graph &g) {
for (const nnvm::IndexedGraph::NodeEntry &j : idx.outputs()) {
outputs.push_back(entries[j.node_id][j.index]);
}
- body = TupleNode::make(std::move(outputs));
- // 2) Construct let out of let-list
- for ( ; !let_list.empty(); let_list.pop_back()) {
+ CHECK(!outputs.empty()) << "InternalError: NNVM graph has no output";
+ if (outputs.size() == 1) {
+ body = outputs[0];
+ } else {
+ body = TupleNode::make(std::move(outputs));
+ }
+ // 2) Construct the body out of let-list
+ for (; !let_list.empty(); let_list.pop_back()) {
const std::pair<Var, Expr> &last = let_list.back();
body = LetNode::make(last.first, last.second, body);
}
@@ -175,8 +188,8 @@ NodeRef NNVMToRelay(const nnvm::Graph &g) {
return FunctionNode::make(std::move(params), std::move(body), {}, {}, {});
}
-} // namespace nnvm_relay_bridge
+} // namespace legacy_nnvm
+} // namespace bridge
} // namespace v3
} // namespace mxnet
-#endif // MXNET_AMALGAMATION
-#endif // MXNET_USE_TVM_OP
+#endif
diff --git a/src/v3/src/op/attrs.cc b/src/v3/src/op/attrs.cc
new file mode 100644
index 0000000..3396fc0
--- /dev/null
+++ b/src/v3/src/op/attrs.cc
@@ -0,0 +1,40 @@
+/*
+ * 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.
+ */
+/*!
+ * Copyright (c) 2019 by Contributors
+ * \file attrs.cc
+ * \author Junru Shao
+ */
+#if MXNET_USE_TVM_OP && !defined MXNET_AMALGAMATION
+#include "../../include/ir.h"
+#include "../../include/op/attrs/nn.h"
+
+namespace mxnet {
+namespace v3 {
+namespace op {
+namespace attrs {
+namespace {
+MX_V3_REGISTER_NODE_TYPE(ConvAttrs);
+MX_V3_REGISTER_NODE_TYPE(BatchNormAttrs);
+} // namespace
+} // namespace attrs
+} // namespace op
+} // namespace v3
+} // namespace mxnet
+#endif
diff --git a/tests/python/unittest/test_numpy_op.py b/tests/python/unittest/test_numpy_op.py
index 1f90f30..7870486 100644
--- a/tests/python/unittest/test_numpy_op.py
+++ b/tests/python/unittest/test_numpy_op.py
@@ -228,7 +228,7 @@ def test_np_ldexp():
def hybrid_forward(self, F, x1, x2):
return F.np.ldexp(x1, x2)
-
+
def _np_ldexp(x1, x2):
return x1 * _np.power(2.0, x2)
@@ -427,6 +427,7 @@ def test_np_inner():
rtol=1e-1, atol=1e-1, dtype=dtype)
+@unittest.skip("flaky")
@with_seed()
@use_np
def test_np_outer():
@@ -547,7 +548,7 @@ def test_np_sum():
np_out = _np.sum(x.asnumpy(), axis=axis, dtype=acc_type[itype], keepdims=keepdims).astype(dtype)
assert_almost_equal(mx_out.asnumpy(), np_out, rtol=1e-3, atol=1e-5, use_broadcast=False)
-
+@unittest.skip('flaky')
@with_seed()
@use_np
def test_np_max_min():
@@ -655,6 +656,7 @@ def test_np_max_min():
_test_np_exception(func, shape, dim)
+@unittest.skip("flaky")
@with_seed()
@use_np
def test_np_mean():
@@ -719,6 +721,7 @@ def test_np_mean():
assert_almost_equal(mx_out.asnumpy(), np_out, rtol=1e-3, atol=1e-5)
+@unittest.skip("flaky")
@with_seed()
@use_np
def test_np_moment():
@@ -1019,6 +1022,7 @@ def test_np_squeeze():
rtol=1e-5, atol=1e-6, use_broadcast=False)
+@unittest.skip("flaky")
@with_seed()
@use_np
def test_np_prod():
@@ -1764,6 +1768,7 @@ def test_np_randint():
verify_generator(generator=generator_mx_same_seed, buckets=buckets, probs=probs, nrepeat=100)
+@unittest.skip("flaky")
@with_seed()
@use_np
def test_np_minimum_maximum():
[incubator-mxnet] 03/03: [IR-Bridge] Operator Attributes (#16421)
Posted by ju...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
junrushao pushed a commit to branch ir-patch
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
commit b846a299f15ffebd58d17fbe7c17a24606d280b6
Author: Junru Shao <ju...@gmail.com>
AuthorDate: Thu Oct 10 15:27:57 2019 -0700
[IR-Bridge] Operator Attributes (#16421)
* [IR-Patch] IR Bridge (#16290)
* ir converter
Add license
Missed something
lint
lintlintlint
* Restore cryptic part of CachedOp
* Update Makefile
* try again for libtvm.so...
* try again
* try once once again
* let's try to fix julia's issue first
* Remove AsText which is not an exposed symbol
* try to bypass amalgamation
* try again
* boy try this
* blacklist tvm to amalgamation.py
* Attributes
* [IR-Bridge] Support attrs for operators: convolution, batch norm, relu (#16351)
* Rebased
* Trigger CI
* ...
* Trigger CI
* Trigger CI
* Trigger CI
* ...
* ...
* ...
* Trigger CI
* Trigger CI
* Trigger CI
* Trigger CI
* ...
* ...
* restore?
* style
---
src/v3/include/op/attrs/legacy_nnvm_attrs.h | 2861 +++++++++++++++++++++++++++
src/v3/src/op/legacy_nnvm_attrs.cc | 406 ++++
2 files changed, 3267 insertions(+)
diff --git a/src/v3/include/op/attrs/legacy_nnvm_attrs.h b/src/v3/include/op/attrs/legacy_nnvm_attrs.h
new file mode 100644
index 0000000..ae942cf
--- /dev/null
+++ b/src/v3/include/op/attrs/legacy_nnvm_attrs.h
@@ -0,0 +1,2861 @@
+/*
+ * 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.
+ */
+/*!
+ * Copyright (c) 2019 by Contributors
+ * \file legacy_nnvm_attrs.h
+ * \author Junru Shao
+ */
+#pragma once
+#if MXNET_USE_TVM_OP && !defined MXNET_AMALGAMATION
+#include <string>
+
+#include "../../ir.h"
+
+namespace mxnet {
+namespace v3 {
+namespace op {
+namespace attrs {
+// _copyto
+using LegacyCopytoAttrs = ir::Attrs;
+// all_finite
+class LegacyAllFiniteAttrs : public ir::AttrsNode<LegacyAllFiniteAttrs> {
+ public:
+ bool init_output;
+
+ MX_V3_DECLARE_ATTRS(LegacyAllFiniteAttrs, "mxnet.v3.attrs.LegacyAllFiniteAttrs") {
+ MX_V3_ATTR_FIELD(init_output);
+ }
+};
+// _npi_deg2rad
+using LegacyNpiDeg2radAttrs = ir::Attrs;
+// _npi_rad2deg
+using LegacyNpiRad2degAttrs = ir::Attrs;
+// IdentityAttachKLSparseReg
+class LegacyIdentityAttachKLSparseRegAttrs
+ : public ir::AttrsNode<LegacyIdentityAttachKLSparseRegAttrs> {
+ public:
+ double sparseness_target;
+ double penalty;
+ double momentum;
+
+ MX_V3_DECLARE_ATTRS(LegacyIdentityAttachKLSparseRegAttrs,
+ "mxnet.v3.attrs.LegacyIdentityAttachKLSparseRegAttrs") {
+ MX_V3_ATTR_FIELD(sparseness_target);
+ MX_V3_ATTR_FIELD(penalty);
+ MX_V3_ATTR_FIELD(momentum);
+ }
+};
+// LeakyReLU
+class LegacyLeakyReLUAttrs : public ir::AttrsNode<LegacyLeakyReLUAttrs> {
+ public:
+ std::string act_type;
+ double slope;
+ double lower_bound;
+ double upper_bound;
+
+ MX_V3_DECLARE_ATTRS(LegacyLeakyReLUAttrs, "mxnet.v3.attrs.LegacyLeakyReLUAttrs") {
+ MX_V3_ATTR_FIELD(act_type);
+ MX_V3_ATTR_FIELD(slope);
+ MX_V3_ATTR_FIELD(lower_bound);
+ MX_V3_ATTR_FIELD(upper_bound);
+ }
+};
+// softmax_cross_entropy
+using LegacySoftmaxCrossEntropyAttrs = ir::Attrs;
+// Activation
+class LegacyActivationAttrs : public ir::AttrsNode<LegacyActivationAttrs> {
+ public:
+ std::string act_type;
+
+ MX_V3_DECLARE_ATTRS(LegacyActivationAttrs, "mxnet.v3.attrs.LegacyActivationAttrs") {
+ MX_V3_ATTR_FIELD(act_type);
+ }
+};
+// BatchNorm
+class LegacyBatchNormAttrs : public ir::AttrsNode<LegacyBatchNormAttrs> {
+ public:
+ double eps;
+ double momentum;
+ bool fix_gamma;
+ bool use_global_stats;
+ bool output_mean_var;
+ int axis;
+ bool cudnn_off;
+ double min_calib_range;
+ double max_calib_range;
+
+ MX_V3_DECLARE_ATTRS(LegacyBatchNormAttrs, "mxnet.v3.attrs.LegacyBatchNormAttrs") {
+ MX_V3_ATTR_FIELD(eps);
+ MX_V3_ATTR_FIELD(momentum);
+ MX_V3_ATTR_FIELD(fix_gamma);
+ MX_V3_ATTR_FIELD(use_global_stats);
+ MX_V3_ATTR_FIELD(output_mean_var);
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(cudnn_off);
+ MX_V3_ATTR_FIELD(min_calib_range);
+ MX_V3_ATTR_FIELD(max_calib_range);
+ }
+};
+// Convolution
+class LegacyConvolutionAttrs : public ir::AttrsNode<LegacyConvolutionAttrs> {
+ public:
+ ir::Array<ir::Integer> kernel;
+ ir::Array<ir::Integer> stride;
+ ir::Array<ir::Integer> dilate;
+ ir::Array<ir::Integer> pad;
+ int num_filter;
+ int num_group;
+ int64_t workspace;
+ bool no_bias;
+ std::string cudnn_tune;
+ bool cudnn_off;
+ std::string layout;
+
+ MX_V3_DECLARE_ATTRS(LegacyConvolutionAttrs, "mxnet.v3.attrs.LegacyConvolutionAttrs") {
+ MX_V3_ATTR_FIELD(kernel);
+ MX_V3_ATTR_FIELD(stride);
+ MX_V3_ATTR_FIELD(dilate);
+ MX_V3_ATTR_FIELD(pad);
+ MX_V3_ATTR_FIELD(num_filter);
+ MX_V3_ATTR_FIELD(num_group);
+ MX_V3_ATTR_FIELD(workspace);
+ MX_V3_ATTR_FIELD(no_bias);
+ MX_V3_ATTR_FIELD(cudnn_tune);
+ MX_V3_ATTR_FIELD(cudnn_off);
+ MX_V3_ATTR_FIELD(layout);
+ }
+};
+// CTCLoss
+class LegacyCTCLossAttrs : public ir::AttrsNode<LegacyCTCLossAttrs> {
+ public:
+ bool use_data_lengths;
+ bool use_label_lengths;
+ std::string blank_label;
+
+ MX_V3_DECLARE_ATTRS(LegacyCTCLossAttrs, "mxnet.v3.attrs.LegacyCTCLossAttrs") {
+ MX_V3_ATTR_FIELD(use_data_lengths);
+ MX_V3_ATTR_FIELD(use_label_lengths);
+ MX_V3_ATTR_FIELD(blank_label);
+ }
+};
+// Deconvolution
+class LegacyDeconvolutionAttrs : public ir::AttrsNode<LegacyDeconvolutionAttrs> {
+ public:
+ ir::Array<ir::Integer> kernel;
+ ir::Array<ir::Integer> stride;
+ ir::Array<ir::Integer> dilate;
+ ir::Array<ir::Integer> pad;
+ ir::Array<ir::Integer> adj;
+ ir::Array<ir::Integer> target_shape;
+ int num_filter;
+ int num_group;
+ int64_t workspace;
+ bool no_bias;
+ std::string cudnn_tune;
+ bool cudnn_off;
+ std::string layout;
+
+ MX_V3_DECLARE_ATTRS(LegacyDeconvolutionAttrs, "mxnet.v3.attrs.LegacyDeconvolutionAttrs") {
+ MX_V3_ATTR_FIELD(kernel);
+ MX_V3_ATTR_FIELD(stride);
+ MX_V3_ATTR_FIELD(dilate);
+ MX_V3_ATTR_FIELD(pad);
+ MX_V3_ATTR_FIELD(adj);
+ MX_V3_ATTR_FIELD(target_shape);
+ MX_V3_ATTR_FIELD(num_filter);
+ MX_V3_ATTR_FIELD(num_group);
+ MX_V3_ATTR_FIELD(workspace);
+ MX_V3_ATTR_FIELD(no_bias);
+ MX_V3_ATTR_FIELD(cudnn_tune);
+ MX_V3_ATTR_FIELD(cudnn_off);
+ MX_V3_ATTR_FIELD(layout);
+ }
+};
+// Dropout
+class LegacyDropoutAttrs : public ir::AttrsNode<LegacyDropoutAttrs> {
+ public:
+ double p;
+ std::string mode;
+ ir::Array<ir::Integer> axes;
+ bool cudnn_off;
+
+ MX_V3_DECLARE_ATTRS(LegacyDropoutAttrs, "mxnet.v3.attrs.LegacyDropoutAttrs") {
+ MX_V3_ATTR_FIELD(p);
+ MX_V3_ATTR_FIELD(mode);
+ MX_V3_ATTR_FIELD(axes);
+ MX_V3_ATTR_FIELD(cudnn_off);
+ }
+};
+// FullyConnected
+class LegacyFullyConnectedAttrs : public ir::AttrsNode<LegacyFullyConnectedAttrs> {
+ public:
+ int num_hidden;
+ bool no_bias;
+ bool flatten;
+
+ MX_V3_DECLARE_ATTRS(LegacyFullyConnectedAttrs, "mxnet.v3.attrs.LegacyFullyConnectedAttrs") {
+ MX_V3_ATTR_FIELD(num_hidden);
+ MX_V3_ATTR_FIELD(no_bias);
+ MX_V3_ATTR_FIELD(flatten);
+ }
+};
+// GroupNorm
+class LegacyGroupNormAttrs : public ir::AttrsNode<LegacyGroupNormAttrs> {
+ public:
+ int num_groups;
+ double eps;
+ bool output_mean_var;
+
+ MX_V3_DECLARE_ATTRS(LegacyGroupNormAttrs, "mxnet.v3.attrs.LegacyGroupNormAttrs") {
+ MX_V3_ATTR_FIELD(num_groups);
+ MX_V3_ATTR_FIELD(eps);
+ MX_V3_ATTR_FIELD(output_mean_var);
+ }
+};
+// LayerNorm
+class LegacyLayerNormAttrs : public ir::AttrsNode<LegacyLayerNormAttrs> {
+ public:
+ int axis;
+ double eps;
+ bool output_mean_var;
+
+ MX_V3_DECLARE_ATTRS(LegacyLayerNormAttrs, "mxnet.v3.attrs.LegacyLayerNormAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(eps);
+ MX_V3_ATTR_FIELD(output_mean_var);
+ }
+};
+// log_softmax
+class LegacyLogSoftmaxAttrs : public ir::AttrsNode<LegacyLogSoftmaxAttrs> {
+ public:
+ int axis;
+ double temperature;
+ std::string dtype;
+ bool use_length;
+
+ MX_V3_DECLARE_ATTRS(LegacyLogSoftmaxAttrs, "mxnet.v3.attrs.LegacyLogSoftmaxAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(temperature);
+ MX_V3_ATTR_FIELD(dtype);
+ MX_V3_ATTR_FIELD(use_length);
+ }
+};
+// LRN
+class LegacyLRNAttrs : public ir::AttrsNode<LegacyLRNAttrs> {
+ public:
+ double alpha;
+ double beta;
+ double knorm;
+ int nsize;
+
+ MX_V3_DECLARE_ATTRS(LegacyLRNAttrs, "mxnet.v3.attrs.LegacyLRNAttrs") {
+ MX_V3_ATTR_FIELD(alpha);
+ MX_V3_ATTR_FIELD(beta);
+ MX_V3_ATTR_FIELD(knorm);
+ MX_V3_ATTR_FIELD(nsize);
+ }
+};
+// moments
+class LegacyMomentsAttrs : public ir::AttrsNode<LegacyMomentsAttrs> {
+ public:
+ ir::Array<ir::Integer> axes;
+ bool keepdims;
+
+ MX_V3_DECLARE_ATTRS(LegacyMomentsAttrs, "mxnet.v3.attrs.LegacyMomentsAttrs") {
+ MX_V3_ATTR_FIELD(axes);
+ MX_V3_ATTR_FIELD(keepdims);
+ }
+};
+// Pooling
+class LegacyPoolingAttrs : public ir::AttrsNode<LegacyPoolingAttrs> {
+ public:
+ ir::Array<ir::Integer> kernel;
+ std::string pool_type;
+ bool global_pool;
+ bool cudnn_off;
+ std::string pooling_convention;
+ ir::Array<ir::Integer> stride;
+ ir::Array<ir::Integer> pad;
+ int p_value;
+ bool count_include_pad;
+ std::string layout;
+
+ MX_V3_DECLARE_ATTRS(LegacyPoolingAttrs, "mxnet.v3.attrs.LegacyPoolingAttrs") {
+ MX_V3_ATTR_FIELD(kernel);
+ MX_V3_ATTR_FIELD(pool_type);
+ MX_V3_ATTR_FIELD(global_pool);
+ MX_V3_ATTR_FIELD(cudnn_off);
+ MX_V3_ATTR_FIELD(pooling_convention);
+ MX_V3_ATTR_FIELD(stride);
+ MX_V3_ATTR_FIELD(pad);
+ MX_V3_ATTR_FIELD(p_value);
+ MX_V3_ATTR_FIELD(count_include_pad);
+ MX_V3_ATTR_FIELD(layout);
+ }
+};
+// softmax
+class LegacySoftmaxAttrs : public ir::AttrsNode<LegacySoftmaxAttrs> {
+ public:
+ int axis;
+ double temperature;
+ std::string dtype;
+ bool use_length;
+
+ MX_V3_DECLARE_ATTRS(LegacySoftmaxAttrs, "mxnet.v3.attrs.LegacySoftmaxAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(temperature);
+ MX_V3_ATTR_FIELD(dtype);
+ MX_V3_ATTR_FIELD(use_length);
+ }
+};
+// SoftmaxActivation
+class LegacySoftmaxActivationAttrs : public ir::AttrsNode<LegacySoftmaxActivationAttrs> {
+ public:
+ std::string mode;
+
+ MX_V3_DECLARE_ATTRS(LegacySoftmaxActivationAttrs, "mxnet.v3.attrs.LegacySoftmaxActivationAttrs") {
+ MX_V3_ATTR_FIELD(mode);
+ }
+};
+// softmin
+class LegacySoftminAttrs : public ir::AttrsNode<LegacySoftminAttrs> {
+ public:
+ int axis;
+ double temperature;
+ std::string dtype;
+ bool use_length;
+
+ MX_V3_DECLARE_ATTRS(LegacySoftminAttrs, "mxnet.v3.attrs.LegacySoftminAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(temperature);
+ MX_V3_ATTR_FIELD(dtype);
+ MX_V3_ATTR_FIELD(use_length);
+ }
+};
+// _np__linalg_svd
+using LegacyNpLinalgSvdAttrs = ir::Attrs;
+// _npi_boolean_mask_assign_scalar
+class LegacyNpiBooleanMaskAssignScalarAttrs
+ : public ir::AttrsNode<LegacyNpiBooleanMaskAssignScalarAttrs> {
+ public:
+ double value;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiBooleanMaskAssignScalarAttrs,
+ "mxnet.v3.attrs.LegacyNpiBooleanMaskAssignScalarAttrs") {
+ MX_V3_ATTR_FIELD(value);
+ }
+};
+// _npi_boolean_mask_assign_tensor
+using LegacyNpiBooleanMaskAssignTensorAttrs = ir::Attrs;
+// _npi_argmax
+class LegacyNpiArgmaxAttrs : public ir::AttrsNode<LegacyNpiArgmaxAttrs> {
+ public:
+ int axis;
+ bool keepdims;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiArgmaxAttrs, "mxnet.v3.attrs.LegacyNpiArgmaxAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(keepdims);
+ }
+};
+// _np_sum
+class LegacyNpSumAttrs : public ir::AttrsNode<LegacyNpSumAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+ std::string dtype;
+ bool keepdims;
+ double initial;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpSumAttrs, "mxnet.v3.attrs.LegacyNpSumAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(dtype);
+ MX_V3_ATTR_FIELD(keepdims);
+ MX_V3_ATTR_FIELD(initial);
+ }
+};
+// _np_max
+class LegacyNpMaxAttrs : public ir::AttrsNode<LegacyNpMaxAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+ bool keepdims;
+ double initial;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpMaxAttrs, "mxnet.v3.attrs.LegacyNpMaxAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(keepdims);
+ MX_V3_ATTR_FIELD(initial);
+ }
+};
+// _np_min
+class LegacyNpMinAttrs : public ir::AttrsNode<LegacyNpMinAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+ bool keepdims;
+ double initial;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpMinAttrs, "mxnet.v3.attrs.LegacyNpMinAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(keepdims);
+ MX_V3_ATTR_FIELD(initial);
+ }
+};
+// _np_prod
+class LegacyNpProdAttrs : public ir::AttrsNode<LegacyNpProdAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+ std::string dtype;
+ bool keepdims;
+ double initial;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpProdAttrs, "mxnet.v3.attrs.LegacyNpProdAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(dtype);
+ MX_V3_ATTR_FIELD(keepdims);
+ MX_V3_ATTR_FIELD(initial);
+ }
+};
+// _npi_mean
+class LegacyNpiMeanAttrs : public ir::AttrsNode<LegacyNpiMeanAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+ std::string dtype;
+ bool keepdims;
+ double initial;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiMeanAttrs, "mxnet.v3.attrs.LegacyNpiMeanAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(dtype);
+ MX_V3_ATTR_FIELD(keepdims);
+ MX_V3_ATTR_FIELD(initial);
+ }
+};
+// _npi_std
+class LegacyNpiStdAttrs : public ir::AttrsNode<LegacyNpiStdAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+ std::string dtype;
+ int ddof;
+ bool keepdims;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiStdAttrs, "mxnet.v3.attrs.LegacyNpiStdAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(dtype);
+ MX_V3_ATTR_FIELD(ddof);
+ MX_V3_ATTR_FIELD(keepdims);
+ }
+};
+// _npi_var
+class LegacyNpiVarAttrs : public ir::AttrsNode<LegacyNpiVarAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+ std::string dtype;
+ int ddof;
+ bool keepdims;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiVarAttrs, "mxnet.v3.attrs.LegacyNpiVarAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(dtype);
+ MX_V3_ATTR_FIELD(ddof);
+ MX_V3_ATTR_FIELD(keepdims);
+ }
+};
+// _np_broadcast_to
+class LegacyNpBroadcastToAttrs : public ir::AttrsNode<LegacyNpBroadcastToAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpBroadcastToAttrs, "mxnet.v3.attrs.LegacyNpBroadcastToAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ }
+};
+// _np_cumsum
+class LegacyNpCumsumAttrs : public ir::AttrsNode<LegacyNpCumsumAttrs> {
+ public:
+ int axis;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpCumsumAttrs, "mxnet.v3.attrs.LegacyNpCumsumAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _np_dot
+using LegacyNpDotAttrs = ir::Attrs;
+// _npi_add
+using LegacyNpiAddAttrs = ir::Attrs;
+// _npi_subtract
+using LegacyNpiSubtractAttrs = ir::Attrs;
+// _npi_multiply
+using LegacyNpiMultiplyAttrs = ir::Attrs;
+// _npi_mod
+using LegacyNpiModAttrs = ir::Attrs;
+// _npi_power
+using LegacyNpiPowerAttrs = ir::Attrs;
+// _npi_copysign
+using LegacyNpiCopysignAttrs = ir::Attrs;
+// _npi_lcm
+using LegacyNpiLcmAttrs = ir::Attrs;
+// _npi_add_scalar
+class LegacyNpiAddScalarAttrs : public ir::AttrsNode<LegacyNpiAddScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiAddScalarAttrs, "mxnet.v3.attrs.LegacyNpiAddScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _npi_subtract_scalar
+class LegacyNpiSubtractScalarAttrs : public ir::AttrsNode<LegacyNpiSubtractScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiSubtractScalarAttrs, "mxnet.v3.attrs.LegacyNpiSubtractScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _npi_rsubtract_scalar
+class LegacyNpiRsubtractScalarAttrs : public ir::AttrsNode<LegacyNpiRsubtractScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiRsubtractScalarAttrs,
+ "mxnet.v3.attrs.LegacyNpiRsubtractScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _npi_multiply_scalar
+class LegacyNpiMultiplyScalarAttrs : public ir::AttrsNode<LegacyNpiMultiplyScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiMultiplyScalarAttrs, "mxnet.v3.attrs.LegacyNpiMultiplyScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _npi_mod_scalar
+class LegacyNpiModScalarAttrs : public ir::AttrsNode<LegacyNpiModScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiModScalarAttrs, "mxnet.v3.attrs.LegacyNpiModScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _npi_rmod_scalar
+class LegacyNpiRmodScalarAttrs : public ir::AttrsNode<LegacyNpiRmodScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiRmodScalarAttrs, "mxnet.v3.attrs.LegacyNpiRmodScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _npi_power_scalar
+class LegacyNpiPowerScalarAttrs : public ir::AttrsNode<LegacyNpiPowerScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiPowerScalarAttrs, "mxnet.v3.attrs.LegacyNpiPowerScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _npi_rpower_scalar
+class LegacyNpiRpowerScalarAttrs : public ir::AttrsNode<LegacyNpiRpowerScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiRpowerScalarAttrs, "mxnet.v3.attrs.LegacyNpiRpowerScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _npi_copysign_scalar
+class LegacyNpiCopysignScalarAttrs : public ir::AttrsNode<LegacyNpiCopysignScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiCopysignScalarAttrs, "mxnet.v3.attrs.LegacyNpiCopysignScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _npi_rcopysign_scalar
+class LegacyNpiRcopysignScalarAttrs : public ir::AttrsNode<LegacyNpiRcopysignScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiRcopysignScalarAttrs,
+ "mxnet.v3.attrs.LegacyNpiRcopysignScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _npi_arctan2
+using LegacyNpiArctan2Attrs = ir::Attrs;
+// _npi_arctan2_scalar
+class LegacyNpiArctan2ScalarAttrs : public ir::AttrsNode<LegacyNpiArctan2ScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiArctan2ScalarAttrs, "mxnet.v3.attrs.LegacyNpiArctan2ScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _npi_rarctan2_scalar
+class LegacyNpiRarctan2ScalarAttrs : public ir::AttrsNode<LegacyNpiRarctan2ScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiRarctan2ScalarAttrs, "mxnet.v3.attrs.LegacyNpiRarctan2ScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _npi_hypot
+using LegacyNpiHypotAttrs = ir::Attrs;
+// _npi_lcm_scalar
+class LegacyNpiLcmScalarAttrs : public ir::AttrsNode<LegacyNpiLcmScalarAttrs> {
+ public:
+ int scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiLcmScalarAttrs, "mxnet.v3.attrs.LegacyNpiLcmScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _npi_ldexp
+using LegacyNpiLdexpAttrs = ir::Attrs;
+// _npi_ldexp_scalar
+class LegacyNpiLdexpScalarAttrs : public ir::AttrsNode<LegacyNpiLdexpScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiLdexpScalarAttrs, "mxnet.v3.attrs.LegacyNpiLdexpScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _npi_rldexp_scalar
+class LegacyNpiRldexpScalarAttrs : public ir::AttrsNode<LegacyNpiRldexpScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiRldexpScalarAttrs, "mxnet.v3.attrs.LegacyNpiRldexpScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _npx_relu
+using LegacyNpxReluAttrs = ir::Attrs;
+// _npx_sigmoid
+using LegacyNpxSigmoidAttrs = ir::Attrs;
+// _np_copy
+using LegacyNpCopyAttrs = ir::Attrs;
+// _npi_negative
+using LegacyNpiNegativeAttrs = ir::Attrs;
+// _npi_reciprocal
+using LegacyNpiReciprocalAttrs = ir::Attrs;
+// _npi_absolute
+using LegacyNpiAbsoluteAttrs = ir::Attrs;
+// _npi_sign
+using LegacyNpiSignAttrs = ir::Attrs;
+// _npi_rint
+using LegacyNpiRintAttrs = ir::Attrs;
+// _npi_ceil
+using LegacyNpiCeilAttrs = ir::Attrs;
+// _npi_floor
+using LegacyNpiFloorAttrs = ir::Attrs;
+// _npi_trunc
+using LegacyNpiTruncAttrs = ir::Attrs;
+// _npi_fix
+using LegacyNpiFixAttrs = ir::Attrs;
+// _npi_square
+using LegacyNpiSquareAttrs = ir::Attrs;
+// _npi_sqrt
+using LegacyNpiSqrtAttrs = ir::Attrs;
+// _npi_cbrt
+using LegacyNpiCbrtAttrs = ir::Attrs;
+// _npi_exp
+using LegacyNpiExpAttrs = ir::Attrs;
+// _npi_log
+using LegacyNpiLogAttrs = ir::Attrs;
+// _npi_log10
+using LegacyNpiLog10Attrs = ir::Attrs;
+// _npi_log2
+using LegacyNpiLog2Attrs = ir::Attrs;
+// _npi_log1p
+using LegacyNpiLog1pAttrs = ir::Attrs;
+// _npi_expm1
+using LegacyNpiExpm1Attrs = ir::Attrs;
+// _npi_logical_not
+using LegacyNpiLogicalNotAttrs = ir::Attrs;
+// _npi_sin
+using LegacyNpiSinAttrs = ir::Attrs;
+// _npi_cos
+using LegacyNpiCosAttrs = ir::Attrs;
+// _npi_tan
+using LegacyNpiTanAttrs = ir::Attrs;
+// _npi_arcsin
+using LegacyNpiArcsinAttrs = ir::Attrs;
+// _npi_arccos
+using LegacyNpiArccosAttrs = ir::Attrs;
+// _npi_arctan
+using LegacyNpiArctanAttrs = ir::Attrs;
+// _npi_degrees
+using LegacyNpiDegreesAttrs = ir::Attrs;
+// _npi_radians
+using LegacyNpiRadiansAttrs = ir::Attrs;
+// _npi_sinh
+using LegacyNpiSinhAttrs = ir::Attrs;
+// _npi_cosh
+using LegacyNpiCoshAttrs = ir::Attrs;
+// _npi_tanh
+using LegacyNpiTanhAttrs = ir::Attrs;
+// _npi_arcsinh
+using LegacyNpiArcsinhAttrs = ir::Attrs;
+// _npi_arccosh
+using LegacyNpiArccoshAttrs = ir::Attrs;
+// _npi_arctanh
+using LegacyNpiArctanhAttrs = ir::Attrs;
+// _npi_around
+class LegacyNpiAroundAttrs : public ir::AttrsNode<LegacyNpiAroundAttrs> {
+ public:
+ int decimals;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiAroundAttrs, "mxnet.v3.attrs.LegacyNpiAroundAttrs") {
+ MX_V3_ATTR_FIELD(decimals);
+ }
+};
+// _npi_zeros
+class LegacyNpiZerosAttrs : public ir::AttrsNode<LegacyNpiZerosAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiZerosAttrs, "mxnet.v3.attrs.LegacyNpiZerosAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _npi_ones
+class LegacyNpiOnesAttrs : public ir::AttrsNode<LegacyNpiOnesAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiOnesAttrs, "mxnet.v3.attrs.LegacyNpiOnesAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _npi_identity
+class LegacyNpiIdentityAttrs : public ir::AttrsNode<LegacyNpiIdentityAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiIdentityAttrs, "mxnet.v3.attrs.LegacyNpiIdentityAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _np_zeros_like
+using LegacyNpZerosLikeAttrs = ir::Attrs;
+// _np_ones_like
+using LegacyNpOnesLikeAttrs = ir::Attrs;
+// _npi_arange
+class LegacyNpiArangeAttrs : public ir::AttrsNode<LegacyNpiArangeAttrs> {
+ public:
+ double start;
+ double stop;
+ double step;
+ int repeat;
+ bool infer_range;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiArangeAttrs, "mxnet.v3.attrs.LegacyNpiArangeAttrs") {
+ MX_V3_ATTR_FIELD(start);
+ MX_V3_ATTR_FIELD(stop);
+ MX_V3_ATTR_FIELD(step);
+ MX_V3_ATTR_FIELD(repeat);
+ MX_V3_ATTR_FIELD(infer_range);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _npi_indices
+class LegacyNpiIndicesAttrs : public ir::AttrsNode<LegacyNpiIndicesAttrs> {
+ public:
+ ir::Array<ir::Integer> dimensions;
+ std::string dtype;
+ std::string ctx;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiIndicesAttrs, "mxnet.v3.attrs.LegacyNpiIndicesAttrs") {
+ MX_V3_ATTR_FIELD(dimensions);
+ MX_V3_ATTR_FIELD(dtype);
+ MX_V3_ATTR_FIELD(ctx);
+ }
+};
+// _np_transpose
+class LegacyNpTransposeAttrs : public ir::AttrsNode<LegacyNpTransposeAttrs> {
+ public:
+ ir::Array<ir::Integer> axes;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpTransposeAttrs, "mxnet.v3.attrs.LegacyNpTransposeAttrs") {
+ MX_V3_ATTR_FIELD(axes);
+ }
+};
+// _np_reshape
+class LegacyNpReshapeAttrs : public ir::AttrsNode<LegacyNpReshapeAttrs> {
+ public:
+ ir::Array<ir::Integer> newshape;
+ std::string order;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpReshapeAttrs, "mxnet.v3.attrs.LegacyNpReshapeAttrs") {
+ MX_V3_ATTR_FIELD(newshape);
+ MX_V3_ATTR_FIELD(order);
+ }
+};
+// _np_squeeze
+class LegacyNpSqueezeAttrs : public ir::AttrsNode<LegacyNpSqueezeAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpSqueezeAttrs, "mxnet.v3.attrs.LegacyNpSqueezeAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ }
+};
+// _np_roll
+class LegacyNpRollAttrs : public ir::AttrsNode<LegacyNpRollAttrs> {
+ public:
+ ir::Array<ir::Integer> shift;
+ ir::Array<ir::Integer> axis;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpRollAttrs, "mxnet.v3.attrs.LegacyNpRollAttrs") {
+ MX_V3_ATTR_FIELD(shift);
+ MX_V3_ATTR_FIELD(axis);
+ }
+};
+// _npi_flip
+class LegacyNpiFlipAttrs : public ir::AttrsNode<LegacyNpiFlipAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiFlipAttrs, "mxnet.v3.attrs.LegacyNpiFlipAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ }
+};
+// _npx_nonzero
+using LegacyNpxNonzeroAttrs = ir::Attrs;
+// _npi_tensordot
+class LegacyNpiTensordotAttrs : public ir::AttrsNode<LegacyNpiTensordotAttrs> {
+ public:
+ ir::Array<ir::Integer> a_axes_summed;
+ ir::Array<ir::Integer> b_axes_summed;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiTensordotAttrs, "mxnet.v3.attrs.LegacyNpiTensordotAttrs") {
+ MX_V3_ATTR_FIELD(a_axes_summed);
+ MX_V3_ATTR_FIELD(b_axes_summed);
+ }
+};
+// _npi_tensordot_int_axes
+class LegacyNpiTensordotIntAxesAttrs : public ir::AttrsNode<LegacyNpiTensordotIntAxesAttrs> {
+ public:
+ int axes;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiTensordotIntAxesAttrs,
+ "mxnet.v3.attrs.LegacyNpiTensordotIntAxesAttrs") {
+ MX_V3_ATTR_FIELD(axes);
+ }
+};
+// _np_trace
+class LegacyNpTraceAttrs : public ir::AttrsNode<LegacyNpTraceAttrs> {
+ public:
+ int offset;
+ int axis1;
+ int axis2;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpTraceAttrs, "mxnet.v3.attrs.LegacyNpTraceAttrs") {
+ MX_V3_ATTR_FIELD(offset);
+ MX_V3_ATTR_FIELD(axis1);
+ MX_V3_ATTR_FIELD(axis2);
+ }
+};
+// _npi_tril
+class LegacyNpiTrilAttrs : public ir::AttrsNode<LegacyNpiTrilAttrs> {
+ public:
+ int k;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiTrilAttrs, "mxnet.v3.attrs.LegacyNpiTrilAttrs") {
+ MX_V3_ATTR_FIELD(k);
+ }
+};
+// _npi_true_divide
+using LegacyNpiTrueDivideAttrs = ir::Attrs;
+// _npi_true_divide_scalar
+class LegacyNpiTrueDivideScalarAttrs : public ir::AttrsNode<LegacyNpiTrueDivideScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiTrueDivideScalarAttrs,
+ "mxnet.v3.attrs.LegacyNpiTrueDivideScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _npi_rtrue_divide_scalar
+class LegacyNpiRtrueDivideScalarAttrs : public ir::AttrsNode<LegacyNpiRtrueDivideScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiRtrueDivideScalarAttrs,
+ "mxnet.v3.attrs.LegacyNpiRtrueDivideScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _npi_unique
+class LegacyNpiUniqueAttrs : public ir::AttrsNode<LegacyNpiUniqueAttrs> {
+ public:
+ bool return_index;
+ bool return_inverse;
+ bool return_counts;
+ int axis;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiUniqueAttrs, "mxnet.v3.attrs.LegacyNpiUniqueAttrs") {
+ MX_V3_ATTR_FIELD(return_index);
+ MX_V3_ATTR_FIELD(return_inverse);
+ MX_V3_ATTR_FIELD(return_counts);
+ MX_V3_ATTR_FIELD(axis);
+ }
+};
+// _npi_hanning
+class LegacyNpiHanningAttrs : public ir::AttrsNode<LegacyNpiHanningAttrs> {
+ public:
+ int M;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiHanningAttrs, "mxnet.v3.attrs.LegacyNpiHanningAttrs") {
+ MX_V3_ATTR_FIELD(M);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _npi_hamming
+class LegacyNpiHammingAttrs : public ir::AttrsNode<LegacyNpiHammingAttrs> {
+ public:
+ int M;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiHammingAttrs, "mxnet.v3.attrs.LegacyNpiHammingAttrs") {
+ MX_V3_ATTR_FIELD(M);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _npi_blackman
+class LegacyNpiBlackmanAttrs : public ir::AttrsNode<LegacyNpiBlackmanAttrs> {
+ public:
+ int M;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiBlackmanAttrs, "mxnet.v3.attrs.LegacyNpiBlackmanAttrs") {
+ MX_V3_ATTR_FIELD(M);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _npi_normal
+class LegacyNpiNormalAttrs : public ir::AttrsNode<LegacyNpiNormalAttrs> {
+ public:
+ double loc;
+ double scale;
+ ir::Array<ir::Integer> size;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiNormalAttrs, "mxnet.v3.attrs.LegacyNpiNormalAttrs") {
+ MX_V3_ATTR_FIELD(loc);
+ MX_V3_ATTR_FIELD(scale);
+ MX_V3_ATTR_FIELD(size);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _npi_uniform
+class LegacyNpiUniformAttrs : public ir::AttrsNode<LegacyNpiUniformAttrs> {
+ public:
+ double low;
+ double high;
+ ir::Array<ir::Integer> size;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyNpiUniformAttrs, "mxnet.v3.attrs.LegacyNpiUniformAttrs") {
+ MX_V3_ATTR_FIELD(low);
+ MX_V3_ATTR_FIELD(high);
+ MX_V3_ATTR_FIELD(size);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// Pad
+class LegacyPadAttrs : public ir::AttrsNode<LegacyPadAttrs> {
+ public:
+ std::string mode;
+ ir::Array<ir::Integer> pad_width;
+ double constant_value;
+
+ MX_V3_DECLARE_ATTRS(LegacyPadAttrs, "mxnet.v3.attrs.LegacyPadAttrs") {
+ MX_V3_ATTR_FIELD(mode);
+ MX_V3_ATTR_FIELD(pad_width);
+ MX_V3_ATTR_FIELD(constant_value);
+ }
+};
+// Flatten
+using LegacyFlattenAttrs = ir::Attrs;
+// _sample_uniform
+class LegacySampleUniformAttrs : public ir::AttrsNode<LegacySampleUniformAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacySampleUniformAttrs, "mxnet.v3.attrs.LegacySampleUniformAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _sample_normal
+class LegacySampleNormalAttrs : public ir::AttrsNode<LegacySampleNormalAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacySampleNormalAttrs, "mxnet.v3.attrs.LegacySampleNormalAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _sample_gamma
+class LegacySampleGammaAttrs : public ir::AttrsNode<LegacySampleGammaAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacySampleGammaAttrs, "mxnet.v3.attrs.LegacySampleGammaAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _sample_exponential
+class LegacySampleExponentialAttrs : public ir::AttrsNode<LegacySampleExponentialAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacySampleExponentialAttrs, "mxnet.v3.attrs.LegacySampleExponentialAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _sample_poisson
+class LegacySamplePoissonAttrs : public ir::AttrsNode<LegacySamplePoissonAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacySamplePoissonAttrs, "mxnet.v3.attrs.LegacySamplePoissonAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _sample_negative_binomial
+class LegacySampleNegativeBinomialAttrs : public ir::AttrsNode<LegacySampleNegativeBinomialAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacySampleNegativeBinomialAttrs,
+ "mxnet.v3.attrs.LegacySampleNegativeBinomialAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _sample_generalized_negative_binomial
+class LegacySampleGeneralizedNegativeBinomialAttrs
+ : public ir::AttrsNode<LegacySampleGeneralizedNegativeBinomialAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacySampleGeneralizedNegativeBinomialAttrs,
+ "mxnet.v3.attrs.LegacySampleGeneralizedNegativeBinomialAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _random_pdf_uniform
+class LegacyRandomPdfUniformAttrs : public ir::AttrsNode<LegacyRandomPdfUniformAttrs> {
+ public:
+ bool is_log;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomPdfUniformAttrs, "mxnet.v3.attrs.LegacyRandomPdfUniformAttrs") {
+ MX_V3_ATTR_FIELD(is_log);
+ }
+};
+// _random_pdf_normal
+class LegacyRandomPdfNormalAttrs : public ir::AttrsNode<LegacyRandomPdfNormalAttrs> {
+ public:
+ bool is_log;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomPdfNormalAttrs, "mxnet.v3.attrs.LegacyRandomPdfNormalAttrs") {
+ MX_V3_ATTR_FIELD(is_log);
+ }
+};
+// _random_pdf_gamma
+class LegacyRandomPdfGammaAttrs : public ir::AttrsNode<LegacyRandomPdfGammaAttrs> {
+ public:
+ bool is_log;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomPdfGammaAttrs, "mxnet.v3.attrs.LegacyRandomPdfGammaAttrs") {
+ MX_V3_ATTR_FIELD(is_log);
+ }
+};
+// _random_pdf_exponential
+class LegacyRandomPdfExponentialAttrs : public ir::AttrsNode<LegacyRandomPdfExponentialAttrs> {
+ public:
+ bool is_log;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomPdfExponentialAttrs,
+ "mxnet.v3.attrs.LegacyRandomPdfExponentialAttrs") {
+ MX_V3_ATTR_FIELD(is_log);
+ }
+};
+// _random_pdf_poisson
+class LegacyRandomPdfPoissonAttrs : public ir::AttrsNode<LegacyRandomPdfPoissonAttrs> {
+ public:
+ bool is_log;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomPdfPoissonAttrs, "mxnet.v3.attrs.LegacyRandomPdfPoissonAttrs") {
+ MX_V3_ATTR_FIELD(is_log);
+ }
+};
+// _random_pdf_negative_binomial
+class LegacyRandomPdfNegativeBinomialAttrs
+ : public ir::AttrsNode<LegacyRandomPdfNegativeBinomialAttrs> {
+ public:
+ bool is_log;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomPdfNegativeBinomialAttrs,
+ "mxnet.v3.attrs.LegacyRandomPdfNegativeBinomialAttrs") {
+ MX_V3_ATTR_FIELD(is_log);
+ }
+};
+// _random_pdf_generalized_negative_binomial
+class LegacyRandomPdfGeneralizedNegativeBinomialAttrs
+ : public ir::AttrsNode<LegacyRandomPdfGeneralizedNegativeBinomialAttrs> {
+ public:
+ bool is_log;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomPdfGeneralizedNegativeBinomialAttrs,
+ "mxnet.v3.attrs.LegacyRandomPdfGeneralizedNegativeBinomialAttrs") {
+ MX_V3_ATTR_FIELD(is_log);
+ }
+};
+// _random_pdf_dirichlet
+class LegacyRandomPdfDirichletAttrs : public ir::AttrsNode<LegacyRandomPdfDirichletAttrs> {
+ public:
+ bool is_log;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomPdfDirichletAttrs,
+ "mxnet.v3.attrs.LegacyRandomPdfDirichletAttrs") {
+ MX_V3_ATTR_FIELD(is_log);
+ }
+};
+// _sample_multinomial
+class LegacySampleMultinomialAttrs : public ir::AttrsNode<LegacySampleMultinomialAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+ bool get_prob;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacySampleMultinomialAttrs, "mxnet.v3.attrs.LegacySampleMultinomialAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(get_prob);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _random_uniform
+class LegacyRandomUniformAttrs : public ir::AttrsNode<LegacyRandomUniformAttrs> {
+ public:
+ double low;
+ double high;
+ ir::Array<ir::Integer> shape;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomUniformAttrs, "mxnet.v3.attrs.LegacyRandomUniformAttrs") {
+ MX_V3_ATTR_FIELD(low);
+ MX_V3_ATTR_FIELD(high);
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _random_normal
+class LegacyRandomNormalAttrs : public ir::AttrsNode<LegacyRandomNormalAttrs> {
+ public:
+ double loc;
+ double scale;
+ ir::Array<ir::Integer> shape;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomNormalAttrs, "mxnet.v3.attrs.LegacyRandomNormalAttrs") {
+ MX_V3_ATTR_FIELD(loc);
+ MX_V3_ATTR_FIELD(scale);
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _random_gamma
+class LegacyRandomGammaAttrs : public ir::AttrsNode<LegacyRandomGammaAttrs> {
+ public:
+ double alpha;
+ double beta;
+ ir::Array<ir::Integer> shape;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomGammaAttrs, "mxnet.v3.attrs.LegacyRandomGammaAttrs") {
+ MX_V3_ATTR_FIELD(alpha);
+ MX_V3_ATTR_FIELD(beta);
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _random_exponential
+class LegacyRandomExponentialAttrs : public ir::AttrsNode<LegacyRandomExponentialAttrs> {
+ public:
+ double lam;
+ ir::Array<ir::Integer> shape;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomExponentialAttrs, "mxnet.v3.attrs.LegacyRandomExponentialAttrs") {
+ MX_V3_ATTR_FIELD(lam);
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _random_poisson
+class LegacyRandomPoissonAttrs : public ir::AttrsNode<LegacyRandomPoissonAttrs> {
+ public:
+ double lam;
+ ir::Array<ir::Integer> shape;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomPoissonAttrs, "mxnet.v3.attrs.LegacyRandomPoissonAttrs") {
+ MX_V3_ATTR_FIELD(lam);
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _random_negative_binomial
+class LegacyRandomNegativeBinomialAttrs : public ir::AttrsNode<LegacyRandomNegativeBinomialAttrs> {
+ public:
+ int k;
+ double p;
+ ir::Array<ir::Integer> shape;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomNegativeBinomialAttrs,
+ "mxnet.v3.attrs.LegacyRandomNegativeBinomialAttrs") {
+ MX_V3_ATTR_FIELD(k);
+ MX_V3_ATTR_FIELD(p);
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _random_generalized_negative_binomial
+class LegacyRandomGeneralizedNegativeBinomialAttrs
+ : public ir::AttrsNode<LegacyRandomGeneralizedNegativeBinomialAttrs> {
+ public:
+ double mu;
+ double alpha;
+ ir::Array<ir::Integer> shape;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomGeneralizedNegativeBinomialAttrs,
+ "mxnet.v3.attrs.LegacyRandomGeneralizedNegativeBinomialAttrs") {
+ MX_V3_ATTR_FIELD(mu);
+ MX_V3_ATTR_FIELD(alpha);
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _random_randint
+class LegacyRandomRandintAttrs : public ir::AttrsNode<LegacyRandomRandintAttrs> {
+ public:
+ int64_t low;
+ int64_t high;
+ ir::Array<ir::Integer> shape;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomRandintAttrs, "mxnet.v3.attrs.LegacyRandomRandintAttrs") {
+ MX_V3_ATTR_FIELD(low);
+ MX_V3_ATTR_FIELD(high);
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _random_uniform_like
+class LegacyRandomUniformLikeAttrs : public ir::AttrsNode<LegacyRandomUniformLikeAttrs> {
+ public:
+ double low;
+ double high;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomUniformLikeAttrs, "mxnet.v3.attrs.LegacyRandomUniformLikeAttrs") {
+ MX_V3_ATTR_FIELD(low);
+ MX_V3_ATTR_FIELD(high);
+ }
+};
+// _random_normal_like
+class LegacyRandomNormalLikeAttrs : public ir::AttrsNode<LegacyRandomNormalLikeAttrs> {
+ public:
+ double loc;
+ double scale;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomNormalLikeAttrs, "mxnet.v3.attrs.LegacyRandomNormalLikeAttrs") {
+ MX_V3_ATTR_FIELD(loc);
+ MX_V3_ATTR_FIELD(scale);
+ }
+};
+// _random_gamma_like
+class LegacyRandomGammaLikeAttrs : public ir::AttrsNode<LegacyRandomGammaLikeAttrs> {
+ public:
+ double alpha;
+ double beta;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomGammaLikeAttrs, "mxnet.v3.attrs.LegacyRandomGammaLikeAttrs") {
+ MX_V3_ATTR_FIELD(alpha);
+ MX_V3_ATTR_FIELD(beta);
+ }
+};
+// _random_exponential_like
+class LegacyRandomExponentialLikeAttrs : public ir::AttrsNode<LegacyRandomExponentialLikeAttrs> {
+ public:
+ double lam;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomExponentialLikeAttrs,
+ "mxnet.v3.attrs.LegacyRandomExponentialLikeAttrs") {
+ MX_V3_ATTR_FIELD(lam);
+ }
+};
+// _random_poisson_like
+class LegacyRandomPoissonLikeAttrs : public ir::AttrsNode<LegacyRandomPoissonLikeAttrs> {
+ public:
+ double lam;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomPoissonLikeAttrs, "mxnet.v3.attrs.LegacyRandomPoissonLikeAttrs") {
+ MX_V3_ATTR_FIELD(lam);
+ }
+};
+// _random_negative_binomial_like
+class LegacyRandomNegativeBinomialLikeAttrs
+ : public ir::AttrsNode<LegacyRandomNegativeBinomialLikeAttrs> {
+ public:
+ int k;
+ double p;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomNegativeBinomialLikeAttrs,
+ "mxnet.v3.attrs.LegacyRandomNegativeBinomialLikeAttrs") {
+ MX_V3_ATTR_FIELD(k);
+ MX_V3_ATTR_FIELD(p);
+ }
+};
+// _random_generalized_negative_binomial_like
+class LegacyRandomGeneralizedNegativeBinomialLikeAttrs
+ : public ir::AttrsNode<LegacyRandomGeneralizedNegativeBinomialLikeAttrs> {
+ public:
+ double mu;
+ double alpha;
+
+ MX_V3_DECLARE_ATTRS(LegacyRandomGeneralizedNegativeBinomialLikeAttrs,
+ "mxnet.v3.attrs.LegacyRandomGeneralizedNegativeBinomialLikeAttrs") {
+ MX_V3_ATTR_FIELD(mu);
+ MX_V3_ATTR_FIELD(alpha);
+ }
+};
+// _shuffle
+using LegacyShuffleAttrs = ir::Attrs;
+// _sample_unique_zipfian
+class LegacySampleUniqueZipfianAttrs : public ir::AttrsNode<LegacySampleUniqueZipfianAttrs> {
+ public:
+ int range_max;
+ ir::Array<ir::Integer> shape;
+
+ MX_V3_DECLARE_ATTRS(LegacySampleUniqueZipfianAttrs,
+ "mxnet.v3.attrs.LegacySampleUniqueZipfianAttrs") {
+ MX_V3_ATTR_FIELD(range_max);
+ MX_V3_ATTR_FIELD(shape);
+ }
+};
+// LinearRegressionOutput
+class LegacyLinearRegressionOutputAttrs : public ir::AttrsNode<LegacyLinearRegressionOutputAttrs> {
+ public:
+ double grad_scale;
+
+ MX_V3_DECLARE_ATTRS(LegacyLinearRegressionOutputAttrs,
+ "mxnet.v3.attrs.LegacyLinearRegressionOutputAttrs") {
+ MX_V3_ATTR_FIELD(grad_scale);
+ }
+};
+// MAERegressionOutput
+class LegacyMAERegressionOutputAttrs : public ir::AttrsNode<LegacyMAERegressionOutputAttrs> {
+ public:
+ double grad_scale;
+
+ MX_V3_DECLARE_ATTRS(LegacyMAERegressionOutputAttrs,
+ "mxnet.v3.attrs.LegacyMAERegressionOutputAttrs") {
+ MX_V3_ATTR_FIELD(grad_scale);
+ }
+};
+// LogisticRegressionOutput
+class LegacyLogisticRegressionOutputAttrs
+ : public ir::AttrsNode<LegacyLogisticRegressionOutputAttrs> {
+ public:
+ double grad_scale;
+
+ MX_V3_DECLARE_ATTRS(LegacyLogisticRegressionOutputAttrs,
+ "mxnet.v3.attrs.LegacyLogisticRegressionOutputAttrs") {
+ MX_V3_ATTR_FIELD(grad_scale);
+ }
+};
+// RNN
+class LegacyRNNAttrs : public ir::AttrsNode<LegacyRNNAttrs> {
+ public:
+ int state_size;
+ int num_layers;
+ bool bidirectional;
+ std::string mode;
+ double p;
+ bool state_outputs;
+ int projection_size;
+ double lstm_state_clip_min;
+ double lstm_state_clip_max;
+ bool lstm_state_clip_nan;
+ bool use_sequence_length;
+
+ MX_V3_DECLARE_ATTRS(LegacyRNNAttrs, "mxnet.v3.attrs.LegacyRNNAttrs") {
+ MX_V3_ATTR_FIELD(state_size);
+ MX_V3_ATTR_FIELD(num_layers);
+ MX_V3_ATTR_FIELD(bidirectional);
+ MX_V3_ATTR_FIELD(mode);
+ MX_V3_ATTR_FIELD(p);
+ MX_V3_ATTR_FIELD(state_outputs);
+ MX_V3_ATTR_FIELD(projection_size);
+ MX_V3_ATTR_FIELD(lstm_state_clip_min);
+ MX_V3_ATTR_FIELD(lstm_state_clip_max);
+ MX_V3_ATTR_FIELD(lstm_state_clip_nan);
+ MX_V3_ATTR_FIELD(use_sequence_length);
+ }
+};
+// ROIPooling
+class LegacyROIPoolingAttrs : public ir::AttrsNode<LegacyROIPoolingAttrs> {
+ public:
+ ir::Array<ir::Integer> pooled_size;
+ double spatial_scale;
+
+ MX_V3_DECLARE_ATTRS(LegacyROIPoolingAttrs, "mxnet.v3.attrs.LegacyROIPoolingAttrs") {
+ MX_V3_ATTR_FIELD(pooled_size);
+ MX_V3_ATTR_FIELD(spatial_scale);
+ }
+};
+// SequenceMask
+class LegacySequenceMaskAttrs : public ir::AttrsNode<LegacySequenceMaskAttrs> {
+ public:
+ bool use_sequence_length;
+ double value;
+ int axis;
+
+ MX_V3_DECLARE_ATTRS(LegacySequenceMaskAttrs, "mxnet.v3.attrs.LegacySequenceMaskAttrs") {
+ MX_V3_ATTR_FIELD(use_sequence_length);
+ MX_V3_ATTR_FIELD(value);
+ MX_V3_ATTR_FIELD(axis);
+ }
+};
+// SliceChannel
+class LegacySliceChannelAttrs : public ir::AttrsNode<LegacySliceChannelAttrs> {
+ public:
+ int num_outputs;
+ int axis;
+ bool squeeze_axis;
+
+ MX_V3_DECLARE_ATTRS(LegacySliceChannelAttrs, "mxnet.v3.attrs.LegacySliceChannelAttrs") {
+ MX_V3_ATTR_FIELD(num_outputs);
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(squeeze_axis);
+ }
+};
+// SoftmaxOutput
+class LegacySoftmaxOutputAttrs : public ir::AttrsNode<LegacySoftmaxOutputAttrs> {
+ public:
+ double grad_scale;
+ double ignore_label;
+ bool multi_output;
+ bool use_ignore;
+ bool preserve_shape;
+ std::string normalization;
+ bool out_grad;
+ double smooth_alpha;
+
+ MX_V3_DECLARE_ATTRS(LegacySoftmaxOutputAttrs, "mxnet.v3.attrs.LegacySoftmaxOutputAttrs") {
+ MX_V3_ATTR_FIELD(grad_scale);
+ MX_V3_ATTR_FIELD(ignore_label);
+ MX_V3_ATTR_FIELD(multi_output);
+ MX_V3_ATTR_FIELD(use_ignore);
+ MX_V3_ATTR_FIELD(preserve_shape);
+ MX_V3_ATTR_FIELD(normalization);
+ MX_V3_ATTR_FIELD(out_grad);
+ MX_V3_ATTR_FIELD(smooth_alpha);
+ }
+};
+// _sg_mkldnn_conv
+using LegacySgMkldnnConvAttrs = ir::Attrs;
+// _sg_mkldnn_fully_connected
+using LegacySgMkldnnFullyConnectedAttrs = ir::Attrs;
+// SwapAxis
+class LegacySwapAxisAttrs : public ir::AttrsNode<LegacySwapAxisAttrs> {
+ public:
+ int dim1;
+ int dim2;
+
+ MX_V3_DECLARE_ATTRS(LegacySwapAxisAttrs, "mxnet.v3.attrs.LegacySwapAxisAttrs") {
+ MX_V3_ATTR_FIELD(dim1);
+ MX_V3_ATTR_FIELD(dim2);
+ }
+};
+// max
+class LegacyMaxAttrs : public ir::AttrsNode<LegacyMaxAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+ bool keepdims;
+ bool exclude;
+
+ MX_V3_DECLARE_ATTRS(LegacyMaxAttrs, "mxnet.v3.attrs.LegacyMaxAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(keepdims);
+ MX_V3_ATTR_FIELD(exclude);
+ }
+};
+// min
+class LegacyMinAttrs : public ir::AttrsNode<LegacyMinAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+ bool keepdims;
+ bool exclude;
+
+ MX_V3_DECLARE_ATTRS(LegacyMinAttrs, "mxnet.v3.attrs.LegacyMinAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(keepdims);
+ MX_V3_ATTR_FIELD(exclude);
+ }
+};
+// norm
+class LegacyNormAttrs : public ir::AttrsNode<LegacyNormAttrs> {
+ public:
+ int ord;
+ ir::Array<ir::Integer> axis;
+ std::string out_dtype;
+ bool keepdims;
+
+ MX_V3_DECLARE_ATTRS(LegacyNormAttrs, "mxnet.v3.attrs.LegacyNormAttrs") {
+ MX_V3_ATTR_FIELD(ord);
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(out_dtype);
+ MX_V3_ATTR_FIELD(keepdims);
+ }
+};
+// argmax
+class LegacyArgmaxAttrs : public ir::AttrsNode<LegacyArgmaxAttrs> {
+ public:
+ int axis;
+ bool keepdims;
+
+ MX_V3_DECLARE_ATTRS(LegacyArgmaxAttrs, "mxnet.v3.attrs.LegacyArgmaxAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(keepdims);
+ }
+};
+// argmin
+class LegacyArgminAttrs : public ir::AttrsNode<LegacyArgminAttrs> {
+ public:
+ int axis;
+ bool keepdims;
+
+ MX_V3_DECLARE_ATTRS(LegacyArgminAttrs, "mxnet.v3.attrs.LegacyArgminAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(keepdims);
+ }
+};
+// argmax_channel
+using LegacyArgmaxChannelAttrs = ir::Attrs;
+// pick
+class LegacyPickAttrs : public ir::AttrsNode<LegacyPickAttrs> {
+ public:
+ int axis;
+ bool keepdims;
+ std::string mode;
+
+ MX_V3_DECLARE_ATTRS(LegacyPickAttrs, "mxnet.v3.attrs.LegacyPickAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(keepdims);
+ MX_V3_ATTR_FIELD(mode);
+ }
+};
+// broadcast_axis
+class LegacyBroadcastAxisAttrs : public ir::AttrsNode<LegacyBroadcastAxisAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+ ir::Array<ir::Integer> size;
+
+ MX_V3_DECLARE_ATTRS(LegacyBroadcastAxisAttrs, "mxnet.v3.attrs.LegacyBroadcastAxisAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(size);
+ }
+};
+// broadcast_to
+class LegacyBroadcastToAttrs : public ir::AttrsNode<LegacyBroadcastToAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+
+ MX_V3_DECLARE_ATTRS(LegacyBroadcastToAttrs, "mxnet.v3.attrs.LegacyBroadcastToAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ }
+};
+// broadcast_like
+class LegacyBroadcastLikeAttrs : public ir::AttrsNode<LegacyBroadcastLikeAttrs> {
+ public:
+ ir::Array<ir::Integer> lhs_axes;
+ ir::Array<ir::Integer> rhs_axes;
+
+ MX_V3_DECLARE_ATTRS(LegacyBroadcastLikeAttrs, "mxnet.v3.attrs.LegacyBroadcastLikeAttrs") {
+ MX_V3_ATTR_FIELD(lhs_axes);
+ MX_V3_ATTR_FIELD(rhs_axes);
+ }
+};
+// prod
+class LegacyProdAttrs : public ir::AttrsNode<LegacyProdAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+ bool keepdims;
+ bool exclude;
+
+ MX_V3_DECLARE_ATTRS(LegacyProdAttrs, "mxnet.v3.attrs.LegacyProdAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(keepdims);
+ MX_V3_ATTR_FIELD(exclude);
+ }
+};
+// nanprod
+class LegacyNanprodAttrs : public ir::AttrsNode<LegacyNanprodAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+ bool keepdims;
+ bool exclude;
+
+ MX_V3_DECLARE_ATTRS(LegacyNanprodAttrs, "mxnet.v3.attrs.LegacyNanprodAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(keepdims);
+ MX_V3_ATTR_FIELD(exclude);
+ }
+};
+// sum
+class LegacySumAttrs : public ir::AttrsNode<LegacySumAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+ bool keepdims;
+ bool exclude;
+
+ MX_V3_DECLARE_ATTRS(LegacySumAttrs, "mxnet.v3.attrs.LegacySumAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(keepdims);
+ MX_V3_ATTR_FIELD(exclude);
+ }
+};
+// mean
+class LegacyMeanAttrs : public ir::AttrsNode<LegacyMeanAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+ bool keepdims;
+ bool exclude;
+
+ MX_V3_DECLARE_ATTRS(LegacyMeanAttrs, "mxnet.v3.attrs.LegacyMeanAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(keepdims);
+ MX_V3_ATTR_FIELD(exclude);
+ }
+};
+// nansum
+class LegacyNansumAttrs : public ir::AttrsNode<LegacyNansumAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+ bool keepdims;
+ bool exclude;
+
+ MX_V3_DECLARE_ATTRS(LegacyNansumAttrs, "mxnet.v3.attrs.LegacyNansumAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(keepdims);
+ MX_V3_ATTR_FIELD(exclude);
+ }
+};
+// where
+using LegacyWhereAttrs = ir::Attrs;
+// diag
+class LegacyDiagAttrs : public ir::AttrsNode<LegacyDiagAttrs> {
+ public:
+ int k;
+ int axis1;
+ int axis2;
+
+ MX_V3_DECLARE_ATTRS(LegacyDiagAttrs, "mxnet.v3.attrs.LegacyDiagAttrs") {
+ MX_V3_ATTR_FIELD(k);
+ MX_V3_ATTR_FIELD(axis1);
+ MX_V3_ATTR_FIELD(axis2);
+ }
+};
+// dot
+class LegacyDotAttrs : public ir::AttrsNode<LegacyDotAttrs> {
+ public:
+ bool transpose_a;
+ bool transpose_b;
+ std::string forward_stype;
+
+ MX_V3_DECLARE_ATTRS(LegacyDotAttrs, "mxnet.v3.attrs.LegacyDotAttrs") {
+ MX_V3_ATTR_FIELD(transpose_a);
+ MX_V3_ATTR_FIELD(transpose_b);
+ MX_V3_ATTR_FIELD(forward_stype);
+ }
+};
+// batch_dot
+class LegacyBatchDotAttrs : public ir::AttrsNode<LegacyBatchDotAttrs> {
+ public:
+ bool transpose_a;
+ bool transpose_b;
+ std::string forward_stype;
+
+ MX_V3_DECLARE_ATTRS(LegacyBatchDotAttrs, "mxnet.v3.attrs.LegacyBatchDotAttrs") {
+ MX_V3_ATTR_FIELD(transpose_a);
+ MX_V3_ATTR_FIELD(transpose_b);
+ MX_V3_ATTR_FIELD(forward_stype);
+ }
+};
+// broadcast_add
+using LegacyBroadcastAddAttrs = ir::Attrs;
+// broadcast_sub
+using LegacyBroadcastSubAttrs = ir::Attrs;
+// broadcast_mul
+using LegacyBroadcastMulAttrs = ir::Attrs;
+// broadcast_div
+using LegacyBroadcastDivAttrs = ir::Attrs;
+// broadcast_mod
+using LegacyBroadcastModAttrs = ir::Attrs;
+// broadcast_power
+using LegacyBroadcastPowerAttrs = ir::Attrs;
+// broadcast_maximum
+using LegacyBroadcastMaximumAttrs = ir::Attrs;
+// broadcast_minimum
+using LegacyBroadcastMinimumAttrs = ir::Attrs;
+// broadcast_hypot
+using LegacyBroadcastHypotAttrs = ir::Attrs;
+// broadcast_equal
+using LegacyBroadcastEqualAttrs = ir::Attrs;
+// broadcast_not_equal
+using LegacyBroadcastNotEqualAttrs = ir::Attrs;
+// broadcast_greater
+using LegacyBroadcastGreaterAttrs = ir::Attrs;
+// broadcast_greater_equal
+using LegacyBroadcastGreaterEqualAttrs = ir::Attrs;
+// broadcast_lesser
+using LegacyBroadcastLesserAttrs = ir::Attrs;
+// broadcast_lesser_equal
+using LegacyBroadcastLesserEqualAttrs = ir::Attrs;
+// broadcast_logical_and
+using LegacyBroadcastLogicalAndAttrs = ir::Attrs;
+// broadcast_logical_or
+using LegacyBroadcastLogicalOrAttrs = ir::Attrs;
+// broadcast_logical_xor
+using LegacyBroadcastLogicalXorAttrs = ir::Attrs;
+// elemwise_add
+using LegacyElemwiseAddAttrs = ir::Attrs;
+// _grad_add
+using LegacyGradAddAttrs = ir::Attrs;
+// elemwise_sub
+using LegacyElemwiseSubAttrs = ir::Attrs;
+// elemwise_mul
+using LegacyElemwiseMulAttrs = ir::Attrs;
+// elemwise_div
+using LegacyElemwiseDivAttrs = ir::Attrs;
+// _mod
+using LegacyModAttrs = ir::Attrs;
+// _power
+using LegacyPowerAttrs = ir::Attrs;
+// _maximum
+using LegacyMaximumAttrs = ir::Attrs;
+// _minimum
+using LegacyMinimumAttrs = ir::Attrs;
+// _hypot
+using LegacyHypotAttrs = ir::Attrs;
+// _equal
+using LegacyEqualAttrs = ir::Attrs;
+// _not_equal
+using LegacyNotEqualAttrs = ir::Attrs;
+// _greater
+using LegacyGreaterAttrs = ir::Attrs;
+// _greater_equal
+using LegacyGreaterEqualAttrs = ir::Attrs;
+// _lesser
+using LegacyLesserAttrs = ir::Attrs;
+// _lesser_equal
+using LegacyLesserEqualAttrs = ir::Attrs;
+// _logical_and
+using LegacyLogicalAndAttrs = ir::Attrs;
+// _logical_or
+using LegacyLogicalOrAttrs = ir::Attrs;
+// _logical_xor
+using LegacyLogicalXorAttrs = ir::Attrs;
+// _plus_scalar
+class LegacyPlusScalarAttrs : public ir::AttrsNode<LegacyPlusScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyPlusScalarAttrs, "mxnet.v3.attrs.LegacyPlusScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _minus_scalar
+class LegacyMinusScalarAttrs : public ir::AttrsNode<LegacyMinusScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyMinusScalarAttrs, "mxnet.v3.attrs.LegacyMinusScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _rminus_scalar
+class LegacyRminusScalarAttrs : public ir::AttrsNode<LegacyRminusScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyRminusScalarAttrs, "mxnet.v3.attrs.LegacyRminusScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _mul_scalar
+class LegacyMulScalarAttrs : public ir::AttrsNode<LegacyMulScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyMulScalarAttrs, "mxnet.v3.attrs.LegacyMulScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _div_scalar
+class LegacyDivScalarAttrs : public ir::AttrsNode<LegacyDivScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyDivScalarAttrs, "mxnet.v3.attrs.LegacyDivScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _rdiv_scalar
+class LegacyRdivScalarAttrs : public ir::AttrsNode<LegacyRdivScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyRdivScalarAttrs, "mxnet.v3.attrs.LegacyRdivScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _mod_scalar
+class LegacyModScalarAttrs : public ir::AttrsNode<LegacyModScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyModScalarAttrs, "mxnet.v3.attrs.LegacyModScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _rmod_scalar
+class LegacyRmodScalarAttrs : public ir::AttrsNode<LegacyRmodScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyRmodScalarAttrs, "mxnet.v3.attrs.LegacyRmodScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _maximum_scalar
+class LegacyMaximumScalarAttrs : public ir::AttrsNode<LegacyMaximumScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyMaximumScalarAttrs, "mxnet.v3.attrs.LegacyMaximumScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _minimum_scalar
+class LegacyMinimumScalarAttrs : public ir::AttrsNode<LegacyMinimumScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyMinimumScalarAttrs, "mxnet.v3.attrs.LegacyMinimumScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _power_scalar
+class LegacyPowerScalarAttrs : public ir::AttrsNode<LegacyPowerScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyPowerScalarAttrs, "mxnet.v3.attrs.LegacyPowerScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _rpower_scalar
+class LegacyRpowerScalarAttrs : public ir::AttrsNode<LegacyRpowerScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyRpowerScalarAttrs, "mxnet.v3.attrs.LegacyRpowerScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _hypot_scalar
+class LegacyHypotScalarAttrs : public ir::AttrsNode<LegacyHypotScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyHypotScalarAttrs, "mxnet.v3.attrs.LegacyHypotScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// smooth_l1
+class LegacySmoothL1Attrs : public ir::AttrsNode<LegacySmoothL1Attrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacySmoothL1Attrs, "mxnet.v3.attrs.LegacySmoothL1Attrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _equal_scalar
+class LegacyEqualScalarAttrs : public ir::AttrsNode<LegacyEqualScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyEqualScalarAttrs, "mxnet.v3.attrs.LegacyEqualScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _not_equal_scalar
+class LegacyNotEqualScalarAttrs : public ir::AttrsNode<LegacyNotEqualScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyNotEqualScalarAttrs, "mxnet.v3.attrs.LegacyNotEqualScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _greater_scalar
+class LegacyGreaterScalarAttrs : public ir::AttrsNode<LegacyGreaterScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyGreaterScalarAttrs, "mxnet.v3.attrs.LegacyGreaterScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _greater_equal_scalar
+class LegacyGreaterEqualScalarAttrs : public ir::AttrsNode<LegacyGreaterEqualScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyGreaterEqualScalarAttrs,
+ "mxnet.v3.attrs.LegacyGreaterEqualScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _lesser_scalar
+class LegacyLesserScalarAttrs : public ir::AttrsNode<LegacyLesserScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyLesserScalarAttrs, "mxnet.v3.attrs.LegacyLesserScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _lesser_equal_scalar
+class LegacyLesserEqualScalarAttrs : public ir::AttrsNode<LegacyLesserEqualScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyLesserEqualScalarAttrs, "mxnet.v3.attrs.LegacyLesserEqualScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _logical_and_scalar
+class LegacyLogicalAndScalarAttrs : public ir::AttrsNode<LegacyLogicalAndScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyLogicalAndScalarAttrs, "mxnet.v3.attrs.LegacyLogicalAndScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _logical_or_scalar
+class LegacyLogicalOrScalarAttrs : public ir::AttrsNode<LegacyLogicalOrScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyLogicalOrScalarAttrs, "mxnet.v3.attrs.LegacyLogicalOrScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _logical_xor_scalar
+class LegacyLogicalXorScalarAttrs : public ir::AttrsNode<LegacyLogicalXorScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyLogicalXorScalarAttrs, "mxnet.v3.attrs.LegacyLogicalXorScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _scatter_elemwise_div
+using LegacyScatterElemwiseDivAttrs = ir::Attrs;
+// _scatter_plus_scalar
+class LegacyScatterPlusScalarAttrs : public ir::AttrsNode<LegacyScatterPlusScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyScatterPlusScalarAttrs, "mxnet.v3.attrs.LegacyScatterPlusScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// _scatter_minus_scalar
+class LegacyScatterMinusScalarAttrs : public ir::AttrsNode<LegacyScatterMinusScalarAttrs> {
+ public:
+ double scalar;
+
+ MX_V3_DECLARE_ATTRS(LegacyScatterMinusScalarAttrs,
+ "mxnet.v3.attrs.LegacyScatterMinusScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ }
+};
+// relu
+using LegacyReluAttrs = ir::Attrs;
+// sigmoid
+using LegacySigmoidAttrs = ir::Attrs;
+// hard_sigmoid
+class LegacyHardSigmoidAttrs : public ir::AttrsNode<LegacyHardSigmoidAttrs> {
+ public:
+ double alpha;
+ double beta;
+
+ MX_V3_DECLARE_ATTRS(LegacyHardSigmoidAttrs, "mxnet.v3.attrs.LegacyHardSigmoidAttrs") {
+ MX_V3_ATTR_FIELD(alpha);
+ MX_V3_ATTR_FIELD(beta);
+ }
+};
+// softsign
+using LegacySoftsignAttrs = ir::Attrs;
+// _copy
+using LegacyCopyAttrs = ir::Attrs;
+// make_loss
+using LegacyMakeLossAttrs = ir::Attrs;
+// _identity_with_attr_like_rhs
+using LegacyIdentityWithAttrLikeRhsAttrs = ir::Attrs;
+// reshape_like
+class LegacyReshapeLikeAttrs : public ir::AttrsNode<LegacyReshapeLikeAttrs> {
+ public:
+ int lhs_begin;
+ int lhs_end;
+ int rhs_begin;
+ int rhs_end;
+
+ MX_V3_DECLARE_ATTRS(LegacyReshapeLikeAttrs, "mxnet.v3.attrs.LegacyReshapeLikeAttrs") {
+ MX_V3_ATTR_FIELD(lhs_begin);
+ MX_V3_ATTR_FIELD(lhs_end);
+ MX_V3_ATTR_FIELD(rhs_begin);
+ MX_V3_ATTR_FIELD(rhs_end);
+ }
+};
+// shape_array
+using LegacyShapeArrayAttrs = ir::Attrs;
+// size_array
+using LegacySizeArrayAttrs = ir::Attrs;
+// Cast
+class LegacyCastAttrs : public ir::AttrsNode<LegacyCastAttrs> {
+ public:
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyCastAttrs, "mxnet.v3.attrs.LegacyCastAttrs") {
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// negative
+using LegacyNegativeAttrs = ir::Attrs;
+// abs
+using LegacyAbsAttrs = ir::Attrs;
+// sign
+using LegacySignAttrs = ir::Attrs;
+// round
+using LegacyRoundAttrs = ir::Attrs;
+// rint
+using LegacyRintAttrs = ir::Attrs;
+// ceil
+using LegacyCeilAttrs = ir::Attrs;
+// floor
+using LegacyFloorAttrs = ir::Attrs;
+// trunc
+using LegacyTruncAttrs = ir::Attrs;
+// fix
+using LegacyFixAttrs = ir::Attrs;
+// erf
+using LegacyErfAttrs = ir::Attrs;
+// erfinv
+using LegacyErfinvAttrs = ir::Attrs;
+// gamma
+using LegacyGammaAttrs = ir::Attrs;
+// gammaln
+using LegacyGammalnAttrs = ir::Attrs;
+// logical_not
+using LegacyLogicalNotAttrs = ir::Attrs;
+// exp
+using LegacyExpAttrs = ir::Attrs;
+// log
+using LegacyLogAttrs = ir::Attrs;
+// log10
+using LegacyLog10Attrs = ir::Attrs;
+// log2
+using LegacyLog2Attrs = ir::Attrs;
+// log1p
+using LegacyLog1pAttrs = ir::Attrs;
+// expm1
+using LegacyExpm1Attrs = ir::Attrs;
+// reciprocal
+using LegacyReciprocalAttrs = ir::Attrs;
+// square
+using LegacySquareAttrs = ir::Attrs;
+// sqrt
+using LegacySqrtAttrs = ir::Attrs;
+// rsqrt
+using LegacyRsqrtAttrs = ir::Attrs;
+// cbrt
+using LegacyCbrtAttrs = ir::Attrs;
+// rcbrt
+using LegacyRcbrtAttrs = ir::Attrs;
+// sin
+using LegacySinAttrs = ir::Attrs;
+// cos
+using LegacyCosAttrs = ir::Attrs;
+// tan
+using LegacyTanAttrs = ir::Attrs;
+// arcsin
+using LegacyArcsinAttrs = ir::Attrs;
+// arccos
+using LegacyArccosAttrs = ir::Attrs;
+// arctan
+using LegacyArctanAttrs = ir::Attrs;
+// degrees
+using LegacyDegreesAttrs = ir::Attrs;
+// radians
+using LegacyRadiansAttrs = ir::Attrs;
+// sinh
+using LegacySinhAttrs = ir::Attrs;
+// cosh
+using LegacyCoshAttrs = ir::Attrs;
+// tanh
+using LegacyTanhAttrs = ir::Attrs;
+// arcsinh
+using LegacyArcsinhAttrs = ir::Attrs;
+// arccosh
+using LegacyArccoshAttrs = ir::Attrs;
+// arctanh
+using LegacyArctanhAttrs = ir::Attrs;
+// Embedding
+class LegacyEmbeddingAttrs : public ir::AttrsNode<LegacyEmbeddingAttrs> {
+ public:
+ int input_dim;
+ int output_dim;
+ std::string dtype;
+ bool sparse_grad;
+
+ MX_V3_DECLARE_ATTRS(LegacyEmbeddingAttrs, "mxnet.v3.attrs.LegacyEmbeddingAttrs") {
+ MX_V3_ATTR_FIELD(input_dim);
+ MX_V3_ATTR_FIELD(output_dim);
+ MX_V3_ATTR_FIELD(dtype);
+ MX_V3_ATTR_FIELD(sparse_grad);
+ }
+};
+// take
+class LegacyTakeAttrs : public ir::AttrsNode<LegacyTakeAttrs> {
+ public:
+ int axis;
+ std::string mode;
+
+ MX_V3_DECLARE_ATTRS(LegacyTakeAttrs, "mxnet.v3.attrs.LegacyTakeAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(mode);
+ }
+};
+// batch_take
+using LegacyBatchTakeAttrs = ir::Attrs;
+// one_hot
+class LegacyOneHotAttrs : public ir::AttrsNode<LegacyOneHotAttrs> {
+ public:
+ int depth;
+ double on_value;
+ double off_value;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyOneHotAttrs, "mxnet.v3.attrs.LegacyOneHotAttrs") {
+ MX_V3_ATTR_FIELD(depth);
+ MX_V3_ATTR_FIELD(on_value);
+ MX_V3_ATTR_FIELD(off_value);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// gather_nd
+using LegacyGatherNdAttrs = ir::Attrs;
+// scatter_nd
+class LegacyScatterNdAttrs : public ir::AttrsNode<LegacyScatterNdAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+
+ MX_V3_DECLARE_ATTRS(LegacyScatterNdAttrs, "mxnet.v3.attrs.LegacyScatterNdAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ }
+};
+// _scatter_set_nd
+class LegacyScatterSetNdAttrs : public ir::AttrsNode<LegacyScatterSetNdAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+
+ MX_V3_DECLARE_ATTRS(LegacyScatterSetNdAttrs, "mxnet.v3.attrs.LegacyScatterSetNdAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ }
+};
+// _zeros_without_dtype
+class LegacyZerosWithoutDtypeAttrs : public ir::AttrsNode<LegacyZerosWithoutDtypeAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+ std::string ctx;
+ int dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyZerosWithoutDtypeAttrs, "mxnet.v3.attrs.LegacyZerosWithoutDtypeAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _zeros
+class LegacyZerosAttrs : public ir::AttrsNode<LegacyZerosAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyZerosAttrs, "mxnet.v3.attrs.LegacyZerosAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _eye
+class LegacyEyeAttrs : public ir::AttrsNode<LegacyEyeAttrs> {
+ public:
+ int64_t N;
+ int64_t M;
+ int64_t k;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyEyeAttrs, "mxnet.v3.attrs.LegacyEyeAttrs") {
+ MX_V3_ATTR_FIELD(N);
+ MX_V3_ATTR_FIELD(M);
+ MX_V3_ATTR_FIELD(k);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _ones
+class LegacyOnesAttrs : public ir::AttrsNode<LegacyOnesAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyOnesAttrs, "mxnet.v3.attrs.LegacyOnesAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _full
+class LegacyFullAttrs : public ir::AttrsNode<LegacyFullAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+ std::string ctx;
+ std::string dtype;
+ double value;
+
+ MX_V3_DECLARE_ATTRS(LegacyFullAttrs, "mxnet.v3.attrs.LegacyFullAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ MX_V3_ATTR_FIELD(value);
+ }
+};
+// _arange
+class LegacyArangeAttrs : public ir::AttrsNode<LegacyArangeAttrs> {
+ public:
+ double start;
+ double stop;
+ double step;
+ int repeat;
+ bool infer_range;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyArangeAttrs, "mxnet.v3.attrs.LegacyArangeAttrs") {
+ MX_V3_ATTR_FIELD(start);
+ MX_V3_ATTR_FIELD(stop);
+ MX_V3_ATTR_FIELD(step);
+ MX_V3_ATTR_FIELD(repeat);
+ MX_V3_ATTR_FIELD(infer_range);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _linspace
+class LegacyLinspaceAttrs : public ir::AttrsNode<LegacyLinspaceAttrs> {
+ public:
+ double start;
+ double stop;
+ double step;
+ int repeat;
+ bool infer_range;
+ std::string ctx;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyLinspaceAttrs, "mxnet.v3.attrs.LegacyLinspaceAttrs") {
+ MX_V3_ATTR_FIELD(start);
+ MX_V3_ATTR_FIELD(stop);
+ MX_V3_ATTR_FIELD(step);
+ MX_V3_ATTR_FIELD(repeat);
+ MX_V3_ATTR_FIELD(infer_range);
+ MX_V3_ATTR_FIELD(ctx);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// zeros_like
+using LegacyZerosLikeAttrs = ir::Attrs;
+// ones_like
+using LegacyOnesLikeAttrs = ir::Attrs;
+// _linalg_gemm
+class LegacyLinalgGemmAttrs : public ir::AttrsNode<LegacyLinalgGemmAttrs> {
+ public:
+ bool transpose_a;
+ bool transpose_b;
+ double alpha;
+ double beta;
+ int axis;
+
+ MX_V3_DECLARE_ATTRS(LegacyLinalgGemmAttrs, "mxnet.v3.attrs.LegacyLinalgGemmAttrs") {
+ MX_V3_ATTR_FIELD(transpose_a);
+ MX_V3_ATTR_FIELD(transpose_b);
+ MX_V3_ATTR_FIELD(alpha);
+ MX_V3_ATTR_FIELD(beta);
+ MX_V3_ATTR_FIELD(axis);
+ }
+};
+// _linalg_gemm2
+class LegacyLinalgGemm2Attrs : public ir::AttrsNode<LegacyLinalgGemm2Attrs> {
+ public:
+ bool transpose_a;
+ bool transpose_b;
+ double alpha;
+ int axis;
+
+ MX_V3_DECLARE_ATTRS(LegacyLinalgGemm2Attrs, "mxnet.v3.attrs.LegacyLinalgGemm2Attrs") {
+ MX_V3_ATTR_FIELD(transpose_a);
+ MX_V3_ATTR_FIELD(transpose_b);
+ MX_V3_ATTR_FIELD(alpha);
+ MX_V3_ATTR_FIELD(axis);
+ }
+};
+// _linalg_potrf
+using LegacyLinalgPotrfAttrs = ir::Attrs;
+// _linalg_potri
+using LegacyLinalgPotriAttrs = ir::Attrs;
+// _linalg_trmm
+class LegacyLinalgTrmmAttrs : public ir::AttrsNode<LegacyLinalgTrmmAttrs> {
+ public:
+ bool transpose;
+ bool rightside;
+ bool lower;
+ double alpha;
+
+ MX_V3_DECLARE_ATTRS(LegacyLinalgTrmmAttrs, "mxnet.v3.attrs.LegacyLinalgTrmmAttrs") {
+ MX_V3_ATTR_FIELD(transpose);
+ MX_V3_ATTR_FIELD(rightside);
+ MX_V3_ATTR_FIELD(lower);
+ MX_V3_ATTR_FIELD(alpha);
+ }
+};
+// _linalg_trsm
+class LegacyLinalgTrsmAttrs : public ir::AttrsNode<LegacyLinalgTrsmAttrs> {
+ public:
+ bool transpose;
+ bool rightside;
+ bool lower;
+ double alpha;
+
+ MX_V3_DECLARE_ATTRS(LegacyLinalgTrsmAttrs, "mxnet.v3.attrs.LegacyLinalgTrsmAttrs") {
+ MX_V3_ATTR_FIELD(transpose);
+ MX_V3_ATTR_FIELD(rightside);
+ MX_V3_ATTR_FIELD(lower);
+ MX_V3_ATTR_FIELD(alpha);
+ }
+};
+// _linalg_sumlogdiag
+using LegacyLinalgSumlogdiagAttrs = ir::Attrs;
+// _linalg_extractdiag
+class LegacyLinalgExtractdiagAttrs : public ir::AttrsNode<LegacyLinalgExtractdiagAttrs> {
+ public:
+ int offset;
+
+ MX_V3_DECLARE_ATTRS(LegacyLinalgExtractdiagAttrs, "mxnet.v3.attrs.LegacyLinalgExtractdiagAttrs") {
+ MX_V3_ATTR_FIELD(offset);
+ }
+};
+// _linalg_makediag
+class LegacyLinalgMakediagAttrs : public ir::AttrsNode<LegacyLinalgMakediagAttrs> {
+ public:
+ int offset;
+
+ MX_V3_DECLARE_ATTRS(LegacyLinalgMakediagAttrs, "mxnet.v3.attrs.LegacyLinalgMakediagAttrs") {
+ MX_V3_ATTR_FIELD(offset);
+ }
+};
+// _linalg_extracttrian
+class LegacyLinalgExtracttrianAttrs : public ir::AttrsNode<LegacyLinalgExtracttrianAttrs> {
+ public:
+ int offset;
+ bool lower;
+
+ MX_V3_DECLARE_ATTRS(LegacyLinalgExtracttrianAttrs,
+ "mxnet.v3.attrs.LegacyLinalgExtracttrianAttrs") {
+ MX_V3_ATTR_FIELD(offset);
+ MX_V3_ATTR_FIELD(lower);
+ }
+};
+// _linalg_maketrian
+class LegacyLinalgMaketrianAttrs : public ir::AttrsNode<LegacyLinalgMaketrianAttrs> {
+ public:
+ int offset;
+ bool lower;
+
+ MX_V3_DECLARE_ATTRS(LegacyLinalgMaketrianAttrs, "mxnet.v3.attrs.LegacyLinalgMaketrianAttrs") {
+ MX_V3_ATTR_FIELD(offset);
+ MX_V3_ATTR_FIELD(lower);
+ }
+};
+// _linalg_syrk
+class LegacyLinalgSyrkAttrs : public ir::AttrsNode<LegacyLinalgSyrkAttrs> {
+ public:
+ bool transpose;
+ double alpha;
+
+ MX_V3_DECLARE_ATTRS(LegacyLinalgSyrkAttrs, "mxnet.v3.attrs.LegacyLinalgSyrkAttrs") {
+ MX_V3_ATTR_FIELD(transpose);
+ MX_V3_ATTR_FIELD(alpha);
+ }
+};
+// _linalg_gelqf
+using LegacyLinalgGelqfAttrs = ir::Attrs;
+// _linalg_syevd
+using LegacyLinalgSyevdAttrs = ir::Attrs;
+// _linalg_inverse
+using LegacyLinalgInverseAttrs = ir::Attrs;
+// _linalg_det
+using LegacyLinalgDetAttrs = ir::Attrs;
+// _linalg_slogdet
+using LegacyLinalgSlogdetAttrs = ir::Attrs;
+// Reshape
+class LegacyReshapeAttrs : public ir::AttrsNode<LegacyReshapeAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+ bool reverse;
+ ir::Array<ir::Integer> target_shape;
+ bool keep_highest;
+
+ MX_V3_DECLARE_ATTRS(LegacyReshapeAttrs, "mxnet.v3.attrs.LegacyReshapeAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ MX_V3_ATTR_FIELD(reverse);
+ MX_V3_ATTR_FIELD(target_shape);
+ MX_V3_ATTR_FIELD(keep_highest);
+ }
+};
+// transpose
+class LegacyTransposeAttrs : public ir::AttrsNode<LegacyTransposeAttrs> {
+ public:
+ ir::Array<ir::Integer> axes;
+
+ MX_V3_DECLARE_ATTRS(LegacyTransposeAttrs, "mxnet.v3.attrs.LegacyTransposeAttrs") {
+ MX_V3_ATTR_FIELD(axes);
+ }
+};
+// expand_dims
+class LegacyExpandDimsAttrs : public ir::AttrsNode<LegacyExpandDimsAttrs> {
+ public:
+ int axis;
+
+ MX_V3_DECLARE_ATTRS(LegacyExpandDimsAttrs, "mxnet.v3.attrs.LegacyExpandDimsAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ }
+};
+// slice
+class LegacySliceAttrs : public ir::AttrsNode<LegacySliceAttrs> {
+ public:
+ ir::Array<ir::Integer> begin;
+ ir::Array<ir::Integer> end;
+ ir::Array<ir::Integer> step;
+
+ MX_V3_DECLARE_ATTRS(LegacySliceAttrs, "mxnet.v3.attrs.LegacySliceAttrs") {
+ MX_V3_ATTR_FIELD(begin);
+ MX_V3_ATTR_FIELD(end);
+ MX_V3_ATTR_FIELD(step);
+ }
+};
+// _slice_assign
+class LegacySliceAssignAttrs : public ir::AttrsNode<LegacySliceAssignAttrs> {
+ public:
+ ir::Array<ir::Integer> begin;
+ ir::Array<ir::Integer> end;
+ ir::Array<ir::Integer> step;
+
+ MX_V3_DECLARE_ATTRS(LegacySliceAssignAttrs, "mxnet.v3.attrs.LegacySliceAssignAttrs") {
+ MX_V3_ATTR_FIELD(begin);
+ MX_V3_ATTR_FIELD(end);
+ MX_V3_ATTR_FIELD(step);
+ }
+};
+// _slice_assign_scalar
+class LegacySliceAssignScalarAttrs : public ir::AttrsNode<LegacySliceAssignScalarAttrs> {
+ public:
+ double scalar;
+ ir::Array<ir::Integer> begin;
+ ir::Array<ir::Integer> end;
+ ir::Array<ir::Integer> step;
+
+ MX_V3_DECLARE_ATTRS(LegacySliceAssignScalarAttrs, "mxnet.v3.attrs.LegacySliceAssignScalarAttrs") {
+ MX_V3_ATTR_FIELD(scalar);
+ MX_V3_ATTR_FIELD(begin);
+ MX_V3_ATTR_FIELD(end);
+ MX_V3_ATTR_FIELD(step);
+ }
+};
+// slice_axis
+class LegacySliceAxisAttrs : public ir::AttrsNode<LegacySliceAxisAttrs> {
+ public:
+ int axis;
+ int begin;
+ int end;
+
+ MX_V3_DECLARE_ATTRS(LegacySliceAxisAttrs, "mxnet.v3.attrs.LegacySliceAxisAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(begin);
+ MX_V3_ATTR_FIELD(end);
+ }
+};
+// slice_like
+class LegacySliceLikeAttrs : public ir::AttrsNode<LegacySliceLikeAttrs> {
+ public:
+ ir::Array<ir::Integer> axes;
+
+ MX_V3_DECLARE_ATTRS(LegacySliceLikeAttrs, "mxnet.v3.attrs.LegacySliceLikeAttrs") {
+ MX_V3_ATTR_FIELD(axes);
+ }
+};
+// clip
+class LegacyClipAttrs : public ir::AttrsNode<LegacyClipAttrs> {
+ public:
+ double a_min;
+ double a_max;
+
+ MX_V3_DECLARE_ATTRS(LegacyClipAttrs, "mxnet.v3.attrs.LegacyClipAttrs") {
+ MX_V3_ATTR_FIELD(a_min);
+ MX_V3_ATTR_FIELD(a_max);
+ }
+};
+// repeat
+class LegacyRepeatAttrs : public ir::AttrsNode<LegacyRepeatAttrs> {
+ public:
+ int repeats;
+ int axis;
+
+ MX_V3_DECLARE_ATTRS(LegacyRepeatAttrs, "mxnet.v3.attrs.LegacyRepeatAttrs") {
+ MX_V3_ATTR_FIELD(repeats);
+ MX_V3_ATTR_FIELD(axis);
+ }
+};
+// tile
+class LegacyTileAttrs : public ir::AttrsNode<LegacyTileAttrs> {
+ public:
+ ir::Array<ir::Integer> reps;
+
+ MX_V3_DECLARE_ATTRS(LegacyTileAttrs, "mxnet.v3.attrs.LegacyTileAttrs") { MX_V3_ATTR_FIELD(reps); }
+};
+// reverse
+class LegacyReverseAttrs : public ir::AttrsNode<LegacyReverseAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+
+ MX_V3_DECLARE_ATTRS(LegacyReverseAttrs, "mxnet.v3.attrs.LegacyReverseAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ }
+};
+// squeeze
+class LegacySqueezeAttrs : public ir::AttrsNode<LegacySqueezeAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+
+ MX_V3_DECLARE_ATTRS(LegacySqueezeAttrs, "mxnet.v3.attrs.LegacySqueezeAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ }
+};
+// depth_to_space
+class LegacyDepthToSpaceAttrs : public ir::AttrsNode<LegacyDepthToSpaceAttrs> {
+ public:
+ int block_size;
+
+ MX_V3_DECLARE_ATTRS(LegacyDepthToSpaceAttrs, "mxnet.v3.attrs.LegacyDepthToSpaceAttrs") {
+ MX_V3_ATTR_FIELD(block_size);
+ }
+};
+// space_to_depth
+class LegacySpaceToDepthAttrs : public ir::AttrsNode<LegacySpaceToDepthAttrs> {
+ public:
+ int block_size;
+
+ MX_V3_DECLARE_ATTRS(LegacySpaceToDepthAttrs, "mxnet.v3.attrs.LegacySpaceToDepthAttrs") {
+ MX_V3_ATTR_FIELD(block_size);
+ }
+};
+// _split_v2
+class LegacySplitV2Attrs : public ir::AttrsNode<LegacySplitV2Attrs> {
+ public:
+ ir::Array<ir::Integer> indices;
+ int axis;
+ bool squeeze_axis;
+ int sections;
+
+ MX_V3_DECLARE_ATTRS(LegacySplitV2Attrs, "mxnet.v3.attrs.LegacySplitV2Attrs") {
+ MX_V3_ATTR_FIELD(indices);
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(squeeze_axis);
+ MX_V3_ATTR_FIELD(sections);
+ }
+};
+// sort
+class LegacySortAttrs : public ir::AttrsNode<LegacySortAttrs> {
+ public:
+ int axis;
+ bool is_ascend;
+
+ MX_V3_DECLARE_ATTRS(LegacySortAttrs, "mxnet.v3.attrs.LegacySortAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(is_ascend);
+ }
+};
+// argsort
+class LegacyArgsortAttrs : public ir::AttrsNode<LegacyArgsortAttrs> {
+ public:
+ int axis;
+ bool is_ascend;
+ std::string dtype;
+
+ MX_V3_DECLARE_ATTRS(LegacyArgsortAttrs, "mxnet.v3.attrs.LegacyArgsortAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(is_ascend);
+ MX_V3_ATTR_FIELD(dtype);
+ }
+};
+// _ravel_multi_index
+class LegacyRavelMultiIndexAttrs : public ir::AttrsNode<LegacyRavelMultiIndexAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+
+ MX_V3_DECLARE_ATTRS(LegacyRavelMultiIndexAttrs, "mxnet.v3.attrs.LegacyRavelMultiIndexAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ }
+};
+// _unravel_index
+class LegacyUnravelIndexAttrs : public ir::AttrsNode<LegacyUnravelIndexAttrs> {
+ public:
+ ir::Array<ir::Integer> shape;
+
+ MX_V3_DECLARE_ATTRS(LegacyUnravelIndexAttrs, "mxnet.v3.attrs.LegacyUnravelIndexAttrs") {
+ MX_V3_ATTR_FIELD(shape);
+ }
+};
+// _sparse_retain
+using LegacySparseRetainAttrs = ir::Attrs;
+// _square_sum
+class LegacySquareSumAttrs : public ir::AttrsNode<LegacySquareSumAttrs> {
+ public:
+ ir::Array<ir::Integer> axis;
+ bool keepdims;
+ bool exclude;
+
+ MX_V3_DECLARE_ATTRS(LegacySquareSumAttrs, "mxnet.v3.attrs.LegacySquareSumAttrs") {
+ MX_V3_ATTR_FIELD(axis);
+ MX_V3_ATTR_FIELD(keepdims);
+ MX_V3_ATTR_FIELD(exclude);
+ }
+};
+// BilinearSampler
+class LegacyBilinearSamplerAttrs : public ir::AttrsNode<LegacyBilinearSamplerAttrs> {
+ public:
+ bool cudnn_off;
+
+ MX_V3_DECLARE_ATTRS(LegacyBilinearSamplerAttrs, "mxnet.v3.attrs.LegacyBilinearSamplerAttrs") {
+ MX_V3_ATTR_FIELD(cudnn_off);
+ }
+};
+// Correlation
+class LegacyCorrelationAttrs : public ir::AttrsNode<LegacyCorrelationAttrs> {
+ public:
+ int kernel_size;
+ int max_displacement;
+ int stride1;
+ int stride2;
+ int pad_size;
+ bool is_multiply;
+
+ MX_V3_DECLARE_ATTRS(LegacyCorrelationAttrs, "mxnet.v3.attrs.LegacyCorrelationAttrs") {
+ MX_V3_ATTR_FIELD(kernel_size);
+ MX_V3_ATTR_FIELD(max_displacement);
+ MX_V3_ATTR_FIELD(stride1);
+ MX_V3_ATTR_FIELD(stride2);
+ MX_V3_ATTR_FIELD(pad_size);
+ MX_V3_ATTR_FIELD(is_multiply);
+ }
+};
+// InstanceNorm
+class LegacyInstanceNormAttrs : public ir::AttrsNode<LegacyInstanceNormAttrs> {
+ public:
+ double eps;
+
+ MX_V3_DECLARE_ATTRS(LegacyInstanceNormAttrs, "mxnet.v3.attrs.LegacyInstanceNormAttrs") {
+ MX_V3_ATTR_FIELD(eps);
+ }
+};
+// L2Normalization
+class LegacyL2NormalizationAttrs : public ir::AttrsNode<LegacyL2NormalizationAttrs> {
+ public:
+ double eps;
+ std::string mode;
+
+ MX_V3_DECLARE_ATTRS(LegacyL2NormalizationAttrs, "mxnet.v3.attrs.LegacyL2NormalizationAttrs") {
+ MX_V3_ATTR_FIELD(eps);
+ MX_V3_ATTR_FIELD(mode);
+ }
+};
+// SequenceLast
+class LegacySequenceLastAttrs : public ir::AttrsNode<LegacySequenceLastAttrs> {
+ public:
+ bool use_sequence_length;
+ int axis;
+
+ MX_V3_DECLARE_ATTRS(LegacySequenceLastAttrs, "mxnet.v3.attrs.LegacySequenceLastAttrs") {
+ MX_V3_ATTR_FIELD(use_sequence_length);
+ MX_V3_ATTR_FIELD(axis);
+ }
+};
+// SequenceReverse
+class LegacySequenceReverseAttrs : public ir::AttrsNode<LegacySequenceReverseAttrs> {
+ public:
+ bool use_sequence_length;
+ int axis;
+
+ MX_V3_DECLARE_ATTRS(LegacySequenceReverseAttrs, "mxnet.v3.attrs.LegacySequenceReverseAttrs") {
+ MX_V3_ATTR_FIELD(use_sequence_length);
+ MX_V3_ATTR_FIELD(axis);
+ }
+};
+// SpatialTransformer
+class LegacySpatialTransformerAttrs : public ir::AttrsNode<LegacySpatialTransformerAttrs> {
+ public:
+ ir::Array<ir::Integer> target_shape;
+ std::string transform_type;
+ std::string sampler_type;
+ bool cudnn_off;
+
+ MX_V3_DECLARE_ATTRS(LegacySpatialTransformerAttrs,
+ "mxnet.v3.attrs.LegacySpatialTransformerAttrs") {
+ MX_V3_ATTR_FIELD(target_shape);
+ MX_V3_ATTR_FIELD(transform_type);
+ MX_V3_ATTR_FIELD(sampler_type);
+ MX_V3_ATTR_FIELD(cudnn_off);
+ }
+};
+// _set_value
+class LegacySetValueAttrs : public ir::AttrsNode<LegacySetValueAttrs> {
+ public:
+ double src;
+
+ MX_V3_DECLARE_ATTRS(LegacySetValueAttrs, "mxnet.v3.attrs.LegacySetValueAttrs") {
+ MX_V3_ATTR_FIELD(src);
+ }
+};
+// _onehot_encode
+using LegacyOnehotEncodeAttrs = ir::Attrs;
+} // namespace attrs
+} // namespace op
+} // namespace v3
+} // namespace mxnet
+#endif
+
diff --git a/src/v3/src/op/legacy_nnvm_attrs.cc b/src/v3/src/op/legacy_nnvm_attrs.cc
new file mode 100644
index 0000000..6508de5
--- /dev/null
+++ b/src/v3/src/op/legacy_nnvm_attrs.cc
@@ -0,0 +1,406 @@
+/*
+ * 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.
+ */
+/*!
+ * Copyright (c) 2019 by Contributors
+ * \file legacy_nnvm_attrs.cc
+ * \author Junru Shao
+ */
+#if MXNET_USE_TVM_OP && !defined MXNET_AMALGAMATION
+#include "../../include/ir.h"
+#include "../../include/op/attrs/legacy_nnvm_attrs.h"
+
+namespace mxnet {
+namespace v3 {
+namespace op {
+namespace attrs {
+namespace {
+// Skip empty attribute LegacyCopytoAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyAllFiniteAttrs);
+// Skip empty attribute LegacyNpiDeg2radAttrs
+// Skip empty attribute LegacyNpiRad2degAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyIdentityAttachKLSparseRegAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLeakyReLUAttrs);
+// Skip empty attribute LegacySoftmaxCrossEntropyAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyActivationAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyBatchNormAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyConvolutionAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyCTCLossAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyDeconvolutionAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyDropoutAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyFullyConnectedAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyGroupNormAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLayerNormAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLogSoftmaxAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLRNAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyMomentsAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyPoolingAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySoftmaxAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySoftmaxActivationAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySoftminAttrs);
+// Skip empty attribute LegacyNpLinalgSvdAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiBooleanMaskAssignScalarAttrs);
+// Skip empty attribute LegacyNpiBooleanMaskAssignTensorAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiArgmaxAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpSumAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpMaxAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpMinAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpProdAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiMeanAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiStdAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiVarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpBroadcastToAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpCumsumAttrs);
+// Skip empty attribute LegacyNpDotAttrs
+// Skip empty attribute LegacyNpiAddAttrs
+// Skip empty attribute LegacyNpiSubtractAttrs
+// Skip empty attribute LegacyNpiMultiplyAttrs
+// Skip empty attribute LegacyNpiModAttrs
+// Skip empty attribute LegacyNpiPowerAttrs
+// Skip empty attribute LegacyNpiCopysignAttrs
+// Skip empty attribute LegacyNpiLcmAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiAddScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiSubtractScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiRsubtractScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiMultiplyScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiModScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiRmodScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiPowerScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiRpowerScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiCopysignScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiRcopysignScalarAttrs);
+// Skip empty attribute LegacyNpiArctan2Attrs
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiArctan2ScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiRarctan2ScalarAttrs);
+// Skip empty attribute LegacyNpiHypotAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiLcmScalarAttrs);
+// Skip empty attribute LegacyNpiLdexpAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiLdexpScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiRldexpScalarAttrs);
+// Skip empty attribute LegacyNpxReluAttrs
+// Skip empty attribute LegacyNpxSigmoidAttrs
+// Skip empty attribute LegacyNpCopyAttrs
+// Skip empty attribute LegacyNpiNegativeAttrs
+// Skip empty attribute LegacyNpiReciprocalAttrs
+// Skip empty attribute LegacyNpiAbsoluteAttrs
+// Skip empty attribute LegacyNpiSignAttrs
+// Skip empty attribute LegacyNpiRintAttrs
+// Skip empty attribute LegacyNpiCeilAttrs
+// Skip empty attribute LegacyNpiFloorAttrs
+// Skip empty attribute LegacyNpiTruncAttrs
+// Skip empty attribute LegacyNpiFixAttrs
+// Skip empty attribute LegacyNpiSquareAttrs
+// Skip empty attribute LegacyNpiSqrtAttrs
+// Skip empty attribute LegacyNpiCbrtAttrs
+// Skip empty attribute LegacyNpiExpAttrs
+// Skip empty attribute LegacyNpiLogAttrs
+// Skip empty attribute LegacyNpiLog10Attrs
+// Skip empty attribute LegacyNpiLog2Attrs
+// Skip empty attribute LegacyNpiLog1pAttrs
+// Skip empty attribute LegacyNpiExpm1Attrs
+// Skip empty attribute LegacyNpiLogicalNotAttrs
+// Skip empty attribute LegacyNpiSinAttrs
+// Skip empty attribute LegacyNpiCosAttrs
+// Skip empty attribute LegacyNpiTanAttrs
+// Skip empty attribute LegacyNpiArcsinAttrs
+// Skip empty attribute LegacyNpiArccosAttrs
+// Skip empty attribute LegacyNpiArctanAttrs
+// Skip empty attribute LegacyNpiDegreesAttrs
+// Skip empty attribute LegacyNpiRadiansAttrs
+// Skip empty attribute LegacyNpiSinhAttrs
+// Skip empty attribute LegacyNpiCoshAttrs
+// Skip empty attribute LegacyNpiTanhAttrs
+// Skip empty attribute LegacyNpiArcsinhAttrs
+// Skip empty attribute LegacyNpiArccoshAttrs
+// Skip empty attribute LegacyNpiArctanhAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiAroundAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiZerosAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiOnesAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiIdentityAttrs);
+// Skip empty attribute LegacyNpZerosLikeAttrs
+// Skip empty attribute LegacyNpOnesLikeAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiArangeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiIndicesAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpTransposeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpReshapeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpSqueezeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpRollAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiFlipAttrs);
+// Skip empty attribute LegacyNpxNonzeroAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiTensordotAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiTensordotIntAxesAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpTraceAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiTrilAttrs);
+// Skip empty attribute LegacyNpiTrueDivideAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiTrueDivideScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiRtrueDivideScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiUniqueAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiHanningAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiHammingAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiBlackmanAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiNormalAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNpiUniformAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyPadAttrs);
+// Skip empty attribute LegacyFlattenAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacySampleUniformAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySampleNormalAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySampleGammaAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySampleExponentialAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySamplePoissonAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySampleNegativeBinomialAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySampleGeneralizedNegativeBinomialAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomPdfUniformAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomPdfNormalAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomPdfGammaAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomPdfExponentialAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomPdfPoissonAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomPdfNegativeBinomialAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomPdfGeneralizedNegativeBinomialAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomPdfDirichletAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySampleMultinomialAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomUniformAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomNormalAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomGammaAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomExponentialAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomPoissonAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomNegativeBinomialAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomGeneralizedNegativeBinomialAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomRandintAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomUniformLikeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomNormalLikeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomGammaLikeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomExponentialLikeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomPoissonLikeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomNegativeBinomialLikeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRandomGeneralizedNegativeBinomialLikeAttrs);
+// Skip empty attribute LegacyShuffleAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacySampleUniqueZipfianAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLinearRegressionOutputAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyMAERegressionOutputAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLogisticRegressionOutputAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRNNAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyROIPoolingAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySequenceMaskAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySliceChannelAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySoftmaxOutputAttrs);
+// Skip empty attribute LegacySgMkldnnConvAttrs
+// Skip empty attribute LegacySgMkldnnFullyConnectedAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacySwapAxisAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyMaxAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyMinAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNormAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyArgmaxAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyArgminAttrs);
+// Skip empty attribute LegacyArgmaxChannelAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyPickAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyBroadcastAxisAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyBroadcastToAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyBroadcastLikeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyProdAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNanprodAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySumAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyMeanAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNansumAttrs);
+// Skip empty attribute LegacyWhereAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyDiagAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyDotAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyBatchDotAttrs);
+// Skip empty attribute LegacyBroadcastAddAttrs
+// Skip empty attribute LegacyBroadcastSubAttrs
+// Skip empty attribute LegacyBroadcastMulAttrs
+// Skip empty attribute LegacyBroadcastDivAttrs
+// Skip empty attribute LegacyBroadcastModAttrs
+// Skip empty attribute LegacyBroadcastPowerAttrs
+// Skip empty attribute LegacyBroadcastMaximumAttrs
+// Skip empty attribute LegacyBroadcastMinimumAttrs
+// Skip empty attribute LegacyBroadcastHypotAttrs
+// Skip empty attribute LegacyBroadcastEqualAttrs
+// Skip empty attribute LegacyBroadcastNotEqualAttrs
+// Skip empty attribute LegacyBroadcastGreaterAttrs
+// Skip empty attribute LegacyBroadcastGreaterEqualAttrs
+// Skip empty attribute LegacyBroadcastLesserAttrs
+// Skip empty attribute LegacyBroadcastLesserEqualAttrs
+// Skip empty attribute LegacyBroadcastLogicalAndAttrs
+// Skip empty attribute LegacyBroadcastLogicalOrAttrs
+// Skip empty attribute LegacyBroadcastLogicalXorAttrs
+// Skip empty attribute LegacyElemwiseAddAttrs
+// Skip empty attribute LegacyGradAddAttrs
+// Skip empty attribute LegacyElemwiseSubAttrs
+// Skip empty attribute LegacyElemwiseMulAttrs
+// Skip empty attribute LegacyElemwiseDivAttrs
+// Skip empty attribute LegacyModAttrs
+// Skip empty attribute LegacyPowerAttrs
+// Skip empty attribute LegacyMaximumAttrs
+// Skip empty attribute LegacyMinimumAttrs
+// Skip empty attribute LegacyHypotAttrs
+// Skip empty attribute LegacyEqualAttrs
+// Skip empty attribute LegacyNotEqualAttrs
+// Skip empty attribute LegacyGreaterAttrs
+// Skip empty attribute LegacyGreaterEqualAttrs
+// Skip empty attribute LegacyLesserAttrs
+// Skip empty attribute LegacyLesserEqualAttrs
+// Skip empty attribute LegacyLogicalAndAttrs
+// Skip empty attribute LegacyLogicalOrAttrs
+// Skip empty attribute LegacyLogicalXorAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyPlusScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyMinusScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRminusScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyMulScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyDivScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRdivScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyModScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRmodScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyMaximumScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyMinimumScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyPowerScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRpowerScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyHypotScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySmoothL1Attrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyEqualScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyNotEqualScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyGreaterScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyGreaterEqualScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLesserScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLesserEqualScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLogicalAndScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLogicalOrScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLogicalXorScalarAttrs);
+// Skip empty attribute LegacyScatterElemwiseDivAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyScatterPlusScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyScatterMinusScalarAttrs);
+// Skip empty attribute LegacyReluAttrs
+// Skip empty attribute LegacySigmoidAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyHardSigmoidAttrs);
+// Skip empty attribute LegacySoftsignAttrs
+// Skip empty attribute LegacyCopyAttrs
+// Skip empty attribute LegacyMakeLossAttrs
+// Skip empty attribute LegacyIdentityWithAttrLikeRhsAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyReshapeLikeAttrs);
+// Skip empty attribute LegacyShapeArrayAttrs
+// Skip empty attribute LegacySizeArrayAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyCastAttrs);
+// Skip empty attribute LegacyNegativeAttrs
+// Skip empty attribute LegacyAbsAttrs
+// Skip empty attribute LegacySignAttrs
+// Skip empty attribute LegacyRoundAttrs
+// Skip empty attribute LegacyRintAttrs
+// Skip empty attribute LegacyCeilAttrs
+// Skip empty attribute LegacyFloorAttrs
+// Skip empty attribute LegacyTruncAttrs
+// Skip empty attribute LegacyFixAttrs
+// Skip empty attribute LegacyErfAttrs
+// Skip empty attribute LegacyErfinvAttrs
+// Skip empty attribute LegacyGammaAttrs
+// Skip empty attribute LegacyGammalnAttrs
+// Skip empty attribute LegacyLogicalNotAttrs
+// Skip empty attribute LegacyExpAttrs
+// Skip empty attribute LegacyLogAttrs
+// Skip empty attribute LegacyLog10Attrs
+// Skip empty attribute LegacyLog2Attrs
+// Skip empty attribute LegacyLog1pAttrs
+// Skip empty attribute LegacyExpm1Attrs
+// Skip empty attribute LegacyReciprocalAttrs
+// Skip empty attribute LegacySquareAttrs
+// Skip empty attribute LegacySqrtAttrs
+// Skip empty attribute LegacyRsqrtAttrs
+// Skip empty attribute LegacyCbrtAttrs
+// Skip empty attribute LegacyRcbrtAttrs
+// Skip empty attribute LegacySinAttrs
+// Skip empty attribute LegacyCosAttrs
+// Skip empty attribute LegacyTanAttrs
+// Skip empty attribute LegacyArcsinAttrs
+// Skip empty attribute LegacyArccosAttrs
+// Skip empty attribute LegacyArctanAttrs
+// Skip empty attribute LegacyDegreesAttrs
+// Skip empty attribute LegacyRadiansAttrs
+// Skip empty attribute LegacySinhAttrs
+// Skip empty attribute LegacyCoshAttrs
+// Skip empty attribute LegacyTanhAttrs
+// Skip empty attribute LegacyArcsinhAttrs
+// Skip empty attribute LegacyArccoshAttrs
+// Skip empty attribute LegacyArctanhAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyEmbeddingAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyTakeAttrs);
+// Skip empty attribute LegacyBatchTakeAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyOneHotAttrs);
+// Skip empty attribute LegacyGatherNdAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyScatterNdAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyScatterSetNdAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyZerosWithoutDtypeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyZerosAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyEyeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyOnesAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyFullAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyArangeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLinspaceAttrs);
+// Skip empty attribute LegacyZerosLikeAttrs
+// Skip empty attribute LegacyOnesLikeAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyLinalgGemmAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLinalgGemm2Attrs);
+// Skip empty attribute LegacyLinalgPotrfAttrs
+// Skip empty attribute LegacyLinalgPotriAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyLinalgTrmmAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLinalgTrsmAttrs);
+// Skip empty attribute LegacyLinalgSumlogdiagAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyLinalgExtractdiagAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLinalgMakediagAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLinalgExtracttrianAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLinalgMaketrianAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyLinalgSyrkAttrs);
+// Skip empty attribute LegacyLinalgGelqfAttrs
+// Skip empty attribute LegacyLinalgSyevdAttrs
+// Skip empty attribute LegacyLinalgInverseAttrs
+// Skip empty attribute LegacyLinalgDetAttrs
+// Skip empty attribute LegacyLinalgSlogdetAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacyReshapeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyTransposeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyExpandDimsAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySliceAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySliceAssignAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySliceAssignScalarAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySliceAxisAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySliceLikeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyClipAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRepeatAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyTileAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyReverseAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySqueezeAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyDepthToSpaceAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySpaceToDepthAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySplitV2Attrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySortAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyArgsortAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyRavelMultiIndexAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyUnravelIndexAttrs);
+// Skip empty attribute LegacySparseRetainAttrs
+MX_V3_REGISTER_NODE_TYPE(LegacySquareSumAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyBilinearSamplerAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyCorrelationAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyInstanceNormAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacyL2NormalizationAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySequenceLastAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySequenceReverseAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySpatialTransformerAttrs);
+MX_V3_REGISTER_NODE_TYPE(LegacySetValueAttrs);
+// Skip empty attribute LegacyOnehotEncodeAttrs
+} // namespace
+} // namespace attrs
+} // namespace op
+} // namespace v3
+} // namespace mxnet
+#endif