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haoj pushed a change to branch numpy
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
discard 10a03fa Fix build failure
discard 05cc0b9 Numpy Tensordot Operator (#15349)
discard 61406db [Numpy] Numpy hstack (#15302)
discard 172c006 numpy eye op (#15282)
discard 7d77872 fix memory override bug in multinomial (#15397)
discard ddaf82a [Numpy] Numpy compatible argsort (#15501)
discard f753a6a Numpy Trace (#15258)
discard 2c99cc7 [numpy][doc-fix] zeros_like, linspace, reciprocal, square,
and arcsin (#15377)
discard 4f1fca8 [numpy][doc-fix] mean, transpose, stack, split, log2, rint
and radians (#15370)
discard 470ef21 [numpy][doc-fix] sum, copy, tile, argmax, sign, log, degrees
(#15382)
discard e294a53 [numpy] fix cython (#15418)
discard f582b14 [numpy] Fix several places in numpy (#15398)
discard 6ec703c add doc for multinomial, dot, cumsum, clip, abs, exp, arctan
(#15386)
discard ca31e72 [numpy] Change d2l chapters cv and gan to use numpy (#15368)
discard 505e86a [numpy] Misc fix for other chapters (#15332)
discard 56b8e8f numpy-compatible cumsum (#15309)
discard cdb38f3 Numpy compatible linspace (#15256)
discard 1c56c34 Numpy compatible multinomial (#15219)
discard 8471bf1 Numpy compatible max (#15161)
discard fd936dd [numpy] Fix d2l chapter 5 (#15264)
discard 612c657 [numpy] [DO NOT MERGE] Fix d2l chapters 9 and 13 (#15246)
discard 0d74b81 Numpy-compatible split (#15049)
discard 71141db fix for ch11 (#15244)
discard af9d82b [numpy] Fix d2l chapter8 (#15237)
discard 518f2b7 fix for chapter6 conv nn (#15224)
discard 64abcf4 Fix (#15188)
discard 737113d [numpy] Fix d2l performance regression (#15173)
discard cd7b386 [WIP][numpy] Fix for D2L Chapters 2/3/4 (#15139)
discard 772ff8e numpy concatenate (#15104)
discard 03368aa [numpy] Fix np branch after rebase (#15086)
discard 6b65904 Numpy Unary Ops (#15010)
discard 7de6242 Numpy-compatible stack (#15027)
discard 9b6454e Temporarily disable test_amp
discard 8b1a031 Change np_compat to np_shape
discard b131d3b [numpy] Refactor np module (example runs through) (#15055)
discard 3e67778 [numpy] Refactor np modules (#14989)
discard 05de755 [numpy] Some np ops for d2l (#14924)
discard 859546d numpy-compatible mean (#14859)
discard 564344e [numpy] Numpy dot (#14831)
discard a87ff16 Enable np op compat check with name prefix (#14897)
discard 810a356 [numpy] Infra for supporting numpy ops in imperative mode and
Gluon APIs (#14758)
discard 7c18ced [Do not review] [Do not merge] New numpy-compatible sum
(#14739)
add 45c360c fixed config.mk and Makefile bugs for installing mkl (#15424)
add b887c06 PDF operators for each distribution for which we have a
random sampler (plus also the PDF of the Dirichlet). Supports probabilities
and log-probabilities, as well as gradients. (#14617)
add eec0fb4 Group Normalization (#14959)
add 6bdcef2 Deprecate USE_PROFILER flag (#15595)
add 076b2f3 Softmax with length (#15169)
add eab6da6 Fix warnings in CLang: (#15270)
add da71324 Fix dumps for Constant initializer (#15150)
add 7e632c9 add myself to interested modules (#15590)
add d14fa69 Update profiler.md (#15477)
add cc861f0 Tensor Inspector Tutorial (#15517)
add d5df247 julia: bump window prebult binary version to v1.5.0 (#15608)
add 8f5930b fix normalize mean error bug (#15539)
add f553b31 julia: remove Travis CI related files (#15616)
add 5086ff0 changed constructor args (#15601)
add 2b4c9c0 [fix] print `self` in warning. (#15614)
add 399d3a0 julia: bump binding version to v1.6.0 (#15607)
add d599bc3 [MXNET-1411] solve pylint error issue#14851 (#15113)
add 9d859c8 logging (#15106)
add 9a1a102 Add omp parallel optimization for _contrib_BilinearReisze2D
(#15584)
add 77254f2 Infra to use tvm write op kernels (#15550)
new 55a9acd [Do not review] [Do not merge] New numpy-compatible sum
(#14739)
new c6bcc0e [numpy] Infra for supporting numpy ops in imperative mode and
Gluon APIs (#14758)
new 1ee611d Enable np op compat check with name prefix (#14897)
new ad66fe0 [numpy] Numpy dot (#14831)
new 4d2ca71 numpy-compatible mean (#14859)
new 8cf84b3 [numpy] Some np ops for d2l (#14924)
new 9e8b4e4 [numpy] Refactor np modules (#14989)
new 92f629c [numpy] Refactor np module (example runs through) (#15055)
new d8b075a Change np_compat to np_shape
new 8c49acc Temporarily disable test_amp
new 31bae28 Numpy-compatible stack (#15027)
new 8c6b9d5 Numpy Unary Ops (#15010)
new 20e19eb [numpy] Fix np branch after rebase (#15086)
new c5c414d numpy concatenate (#15104)
new c20b69a [WIP][numpy] Fix for D2L Chapters 2/3/4 (#15139)
new 127f33f [numpy] Fix d2l performance regression (#15173)
new 49feb63 Fix (#15188)
new 4f8cb50 fix for chapter6 conv nn (#15224)
new dca5a4f [numpy] Fix d2l chapter8 (#15237)
new a1d25aa fix for ch11 (#15244)
new d715a03 Numpy-compatible split (#15049)
new 2f9c51f [numpy] [DO NOT MERGE] Fix d2l chapters 9 and 13 (#15246)
new c63df15 [numpy] Fix d2l chapter 5 (#15264)
new 840e9c3 Numpy compatible max (#15161)
new 7ede6fc Numpy compatible multinomial (#15219)
new 7fdc64e Numpy compatible linspace (#15256)
new 87a8c94 numpy-compatible cumsum (#15309)
new ebda0b2 [numpy] Misc fix for other chapters (#15332)
new b9d2593 [numpy] Change d2l chapters cv and gan to use numpy (#15368)
new 97819df add doc for multinomial, dot, cumsum, clip, abs, exp, arctan
(#15386)
new 8bf1e62 [numpy] Fix several places in numpy (#15398)
new 0560d68 [numpy] fix cython (#15418)
new e5324de [numpy][doc-fix] sum, copy, tile, argmax, sign, log, degrees
(#15382)
new 60f7523 [numpy][doc-fix] mean, transpose, stack, split, log2, rint
and radians (#15370)
new eaf1657 [numpy][doc-fix] zeros_like, linspace, reciprocal, square,
and arcsin (#15377)
new 0549575 Numpy Trace (#15258)
new 4111468 [Numpy] Numpy compatible argsort (#15501)
new 16f620f fix memory override bug in multinomial (#15397)
new ee07656 numpy eye op (#15282)
new f62c413 [Numpy] Numpy hstack (#15302)
new c757d95 Numpy Tensordot Operator (#15349)
new a23120e Fix build failure
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Summary of changes:
3rdparty/dlpack | 2 +-
3rdparty/dmlc-core | 2 +-
3rdparty/tvm | 2 +-
CMakeLists.txt | 24 +-
CODEOWNERS | 18 +-
Makefile | 46 +-
benchmark/opperf/README.md | 2 -
cmake/BuildTVM.cmake | 135 +++++
.../_constants.py => contrib/tvmop/__init__.py | 6 +-
.../tvmop/basic}/__init__.py | 3 +-
contrib/tvmop/basic/ufunc.py | 50 ++
contrib/tvmop/compile.py | 59 ++
contrib/tvmop/opdef.py | 111 ++++
contrib/tvmop/prepare_tvm.sh | 63 +++
.../opencv/__init__.py => contrib/tvmop/utils.py | 7 +-
docs/faq/add_op_in_backend.md | 3 +
docs/faq/develop_and_hack.md | 1 +
docs/faq/env_var.md | 2 +-
docs/faq/perf.md | 4 +-
docs/faq/tensor_inspector_tutorial.md | 168 ++++++
docs/install/osx_setup.md | 1 -
docs/tutorials/mkldnn/MKLDNN_README.md | 2 +-
docs/tutorials/python/profiler.md | 2 +
example/named_entity_recognition/src/metrics.py | 13 +-
example/named_entity_recognition/src/ner.py | 8 +
example/named_entity_recognition/src/preprocess.py | 7 +
example/profiler/README.md | 3 +-
include/mxnet/c_api.h | 9 +
include/mxnet/libinfo.h | 7 +
julia/.travis.yml | 59 --
julia/Project.toml | 2 +-
julia/REQUIRE | 6 -
julia/deps/build.jl | 16 +-
julia/test/travis/run_coverage.sh | 18 -
julia/test/travis/run_test.sh | 28 -
julia/test/travis/setup_env.sh | 38 --
make/config.mk | 3 +
make/maven/maven_darwin_mkl.mk | 2 -
make/maven/maven_linux_cu90mkl.mk | 3 -
make/maven/maven_linux_cu92mkl.mk | 3 -
make/maven/maven_linux_mkl.mk | 3 -
make/osx.mk | 3 +
make/pip/pip_darwin_cpu.mk | 3 -
make/pip/pip_darwin_mkl.mk | 3 -
make/pip/pip_linux_cpu.mk | 3 -
make/pip/pip_linux_cu100.mk | 3 -
make/pip/pip_linux_cu100mkl.mk | 3 -
make/pip/pip_linux_cu101.mk | 3 -
make/pip/pip_linux_cu101mkl.mk | 3 -
make/pip/pip_linux_cu75.mk | 3 -
make/pip/pip_linux_cu75mkl.mk | 3 -
make/pip/pip_linux_cu80.mk | 3 -
make/pip/pip_linux_cu80mkl.mk | 3 -
make/pip/pip_linux_cu90.mk | 3 -
make/pip/pip_linux_cu90mkl.mk | 3 -
make/pip/pip_linux_cu91.mk | 3 -
make/pip/pip_linux_cu91mkl.mk | 3 -
make/pip/pip_linux_cu92.mk | 3 -
make/pip/pip_linux_cu92mkl.mk | 3 -
make/pip/pip_linux_mkl.mk | 3 -
plugin/warpctc/warpctc-inl.h | 2 +-
python/mxnet/base.py | 15 +-
python/mxnet/contrib/amp/lists/symbol.py | 18 +
.../mxnet/contrib/onnx/mx2onnx/_export_helper.py | 38 +-
.../contrib/onnx/onnx2mx/_translation_utils.py | 30 +-
python/mxnet/contrib/text/vocab.py | 5 +-
python/mxnet/gluon/block.py | 5 +-
python/mxnet/gluon/nn/basic_layers.py | 91 ++-
python/mxnet/gluon/trainer.py | 12 +-
python/mxnet/gluon/utils.py | 8 +-
python/mxnet/image/detection.py | 18 +-
python/mxnet/image/image.py | 24 +-
python/mxnet/initializer.py | 6 +
python/mxnet/libinfo.py | 10 +-
python/mxnet/model.py | 5 +-
python/mxnet/ndarray/sparse.py | 10 +-
python/mxnet/test_utils.py | 28 +-
src/c_api/c_api.cc | 9 +
src/engine/naive_engine.cc | 6 +-
src/engine/threaded_engine.h | 2 +-
src/kvstore/kvstore_local.h | 4 +-
src/libinfo.cc | 4 +
src/operator/contrib/bilinear_resize.cc | 146 +++--
src/operator/contrib/tvmop/ufunc.cc | 66 +++
src/operator/image/image_random-inl.h | 2 +-
src/operator/mxnet_op.h | 51 ++
src/operator/nn/group_norm-inl.h | 347 ++++++++++++
src/operator/nn/group_norm.cc | 131 +++++
src/operator/nn/{moments.cu => group_norm.cu} | 16 +-
src/operator/nn/softmax-inl.h | 428 ++++++++++++--
src/operator/nn/softmax.cc | 33 +-
src/operator/random/pdf_op.cc | 319 +++++++++++
src/operator/random/pdf_op.cu | 48 ++
src/operator/random/pdf_op.h | 622 +++++++++++++++++++++
src/operator/tvmop/op_module.cc | 117 ++++
.../nvtx.h => operator/tvmop/op_module.h} | 58 +-
src/profiler/profiler.h | 4 +-
tests/jenkins/run_test.sh | 1 -
tests/jenkins/run_test_ubuntu.sh | 1 -
tests/python/gpu/test_operator_gpu.py | 17 +
tests/python/unittest/test_gluon.py | 9 +
tests/python/unittest/test_init.py | 19 +-
tests/python/unittest/test_operator.py | 185 +++++-
tests/python/unittest/test_random.py | 111 +++-
.../unittest/{test_engine.py => test_tvm_op.py} | 26 +-
105 files changed, 3547 insertions(+), 558 deletions(-)
create mode 100644 cmake/BuildTVM.cmake
copy python/mxnet/gluon/contrib/data/_constants.py =>
contrib/tvmop/__init__.py (90%)
copy {example/ssd/dataset/pycocotools => contrib/tvmop/basic}/__init__.py (95%)
mode change 100755 => 100644
create mode 100644 contrib/tvmop/basic/ufunc.py
create mode 100644 contrib/tvmop/compile.py
create mode 100644 contrib/tvmop/opdef.py
create mode 100644 contrib/tvmop/prepare_tvm.sh
copy plugin/opencv/__init__.py => contrib/tvmop/utils.py (86%)
create mode 100644 docs/faq/tensor_inspector_tutorial.md
delete mode 100644 julia/.travis.yml
delete mode 100644 julia/REQUIRE
delete mode 100644 julia/test/travis/run_coverage.sh
delete mode 100755 julia/test/travis/run_test.sh
delete mode 100755 julia/test/travis/setup_env.sh
create mode 100644 src/operator/contrib/tvmop/ufunc.cc
create mode 100644 src/operator/nn/group_norm-inl.h
create mode 100644 src/operator/nn/group_norm.cc
copy src/operator/nn/{moments.cu => group_norm.cu} (74%)
create mode 100644 src/operator/random/pdf_op.cc
create mode 100644 src/operator/random/pdf_op.cu
create mode 100644 src/operator/random/pdf_op.h
create mode 100644 src/operator/tvmop/op_module.cc
copy src/{profiler/nvtx.h => operator/tvmop/op_module.h} (50%)
copy tests/python/unittest/{test_engine.py => test_tvm_op.py} (63%)
