This is an automated email from the ASF dual-hosted git repository.
iblis pushed a change to branch ib/jl-mxnet-root-env
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 36076c4 Merge branch 'master' into ib/jl-mxnet-root-env
add 67acbe5 [DOC] Fix many arguments in the doc: reshape_like,
arange_like, shape_array (#15752)
add 8c2bef5 Add Gather_nd Scatter_nd to NDArray API category doc (#15689)
add 51c07e5 [Dependency Update] Dependency update doc (#15045)
add ce62873 Add quantization support for GluonCV (#15754)
add 7186123 Revert "Dynamic Library Loading Support" (#15755)
add aadef2d Fix flaky test test_global_metric (#15756)
add 45db8ea Add matrix determinant operator in linalg (#15007)
add 07eb482 fix tvm cmake (#15781)
add a2b11ae Fix PR #15489 (Dynamic Library Loading Support) (#15760)
add be49b3b Numpy-compatible Infra (#15581)
add 79d8d86 Fix the bug of `MXEnginePushAsyncND` and `MXEnginePushSyncND`
(#15751)
add b6972bb add int8 bn mkldnn implementation and test (#15664)
add b77f524 [MXNET-1206] Support NDArray indexing with None and Ellipsis
(#13143)
add a3babc4 numpy-compatible sum (#15810)
add 19916af fix license issues (#15806)
add bfd3bb8 Refactor LibraryInitializer so it's thread safe. Fixes random
sporadical concurrency crashes. (#15762)
add 0eb213d Fix backward_clip num inputs and type of clip params (#15688)
add 44a7fca [Numpy] Numpy compatible slicing (#15798)
add 614cba3 Making Features as a singleton for improved caching (#15835)
add 57927a9 Clojure package remove source images (#15828)
add c3f5eea Numpy Tensordot and Dot Operator (#15820)
add bd32de4 fixing problem with existing Singleton Caching (#15868)
add 795990b numpy linspace (#15852)
add 05f3ae1 Large Index Support for Slice (#15593)
add 67daae7 tvm infra for op attrs (#15854)
add c81535c cuDNN support cleanup (#15812)
add 39bf4e0 Port several np ops to master (#15867)
add 11ce2a2 Add large tensor support binary arithmetic (#15785)
add 24a5cf0 Allow operators with multiple outputs in get_atomic_symbol
(#15740)
add f32b58e numpy-compatible split upstream (#15841)
add b914d0a Large tensor support for random ops (#15783)
add 843c3ab Add Large Tensor Support for Sequence, NN Ops (#15807)
add 3d8035b Numpy-compatible concatenate upstream (#15894)
add 78733f0 Numpy-compatible concatenate upstream (#15894)
add b98f297 Numpy-compatible concatenate upstream (#15894)
add 9dbfc2d Numpy-compatible concatenate upstream (#15894)
add 40593c6 Fix ConcatType backward type inference (#15829)
add f586c07 [OpPerf] Profiler flag for Python, Cpp (#15881)
add acc7865 added check for empty params file and unknown param (not
arg/aux) (#15917)
add c8f0b21 Remove Scala package test on build (#15915)
add c0ab006 Merge branch 'master' into ib/jl-mxnet-root-env
No new revisions were added by this update.
Summary of changes:
CMakeLists.txt | 19 +-
LICENSE | 355 +++-
Makefile | 5 +-
benchmark/opperf/nd_operations/array_rearrange.py | 4 +-
benchmark/opperf/nd_operations/binary_operators.py | 8 +-
benchmark/opperf/nd_operations/gemm_operators.py | 6 +-
.../nd_operations/nn_activation_operators.py | 5 +-
.../opperf/nd_operations/nn_basic_operators.py | 5 +-
.../opperf/nd_operations/nn_conv_operators.py | 12 +-
.../opperf/nd_operations/nn_optimizer_operators.py | 4 +-
.../nd_operations/random_sampling_operators.py | 4 +-
.../opperf/nd_operations/reduction_operators.py | 4 +-
.../nd_operations/sorting_searching_operators.py | 4 +-
benchmark/opperf/nd_operations/unary_operators.py | 4 +-
benchmark/opperf/opperf.py | 40 +-
benchmark/opperf/utils/benchmark_utils.py | 27 +-
benchmark/opperf/utils/common_utils.py | 38 +-
benchmark/opperf/utils/ndarray_utils.py | 4 -
benchmark/opperf/utils/profiler_utils.py | 57 +-
ci/jenkins/Jenkins_steps.groovy | 10 +-
ci/jenkins/Jenkinsfile_unix_cpu | 2 +-
ci/publish/scala/build.sh | 2 +-
cmake/BuildTVM.cmake | 2 +-
contrib/clojure-package/.gitignore | 1 +
.../infer/objectdetector/images/marcel.jpg | Bin 116161 -> 0 bytes
.../clojure-package/scripts/get_test_images.sh | 26 +-
.../test/org/apache/clojure_mxnet/image_test.clj | 6 +-
.../clojure_mxnet/infer/imageclassifier_test.clj | 5 +-
.../test/test-images/Pug-Cookie.jpg | Bin 104323 -> 0 bytes
.../clojure-package/test/test-images/kitten.jpg | Bin 110969 -> 0 bytes
contrib/clojure-package/test/test_helper.clj | 26 +
contrib/tvmop/compile.py | 4 +-
contrib/tvmop/opdef.py | 12 +-
cpp-package/scripts/OpWrapperGenerator.py | 1 +
docs/api/python/ndarray/ndarray.md | 2 +
docs/api/python/symbol/linalg.md | 2 +
docs/faq/env_var.md | 10 +-
include/mxnet/base.h | 4 +-
include/mxnet/c_api.h | 190 +-
include/mxnet/c_predict_api.h | 4 +-
include/mxnet/tuple.h | 15 +
make/maven/maven_darwin_mkl.mk | 2 +-
make/maven/maven_linux_cu90mkl.mk | 4 +-
make/maven/maven_linux_cu92mkl.mk | 4 +-
make/maven/maven_linux_mkl.mk | 2 +-
make/pip/pip_linux_cu100.mk | 2 +
make/pip/pip_linux_cu100mkl.mk | 2 +
make/pip/pip_linux_cu101.mk | 2 +
make/pip/pip_linux_cu101mkl.mk | 2 +
make/pip/pip_linux_cu91.mk | 2 +
make/pip/pip_linux_cu91mkl.mk | 2 +
make/pip/pip_linux_cu92.mk | 2 +
make/pip/pip_linux_cu92mkl.mk | 2 +
python/mxnet/__init__.py | 5 +
python/mxnet/_ctypes/ndarray.py | 36 +-
python/mxnet/_ctypes/symbol.py | 13 +-
python/mxnet/_numpy_op_doc.py | 54 +
python/mxnet/base.py | 119 +-
python/mxnet/contrib/amp/lists/symbol.py | 4 +
python/mxnet/contrib/quantization.py | 212 ++-
python/mxnet/cython/ndarray.pyx | 27 +-
python/mxnet/cython/symbol.pyx | 16 +-
python/mxnet/gluon/block.py | 49 +-
python/mxnet/gluon/data/dataloader.py | 2 +
python/mxnet/gluon/parameter.py | 52 +-
python/mxnet/gluon/rnn/rnn_layer.py | 2 -
python/mxnet/gluon/utils.py | 45 +-
python/mxnet/image/image.py | 2 +-
python/mxnet/model.py | 19 +-
python/mxnet/ndarray/__init__.py | 6 +-
python/mxnet/ndarray/_internal.py | 11 +-
python/mxnet/ndarray/ndarray.py | 1212 ++++++++-----
python/mxnet/{symbol => ndarray/numpy}/__init__.py | 19 +-
.../__init__.py => ndarray/numpy/_internal.py} | 15 +-
python/mxnet/ndarray/numpy/_op.py | 707 ++++++++
.../__init__.py => ndarray/numpy/_register.py} | 21 +-
.../__init__.py => ndarray/numpy/linalg.py} | 15 +-
.../__init__.py => ndarray/numpy/random.py} | 16 +-
.../numpy_extension}/__init__.py | 18 +-
.../__init__.py => ndarray/numpy_extension/_op.py} | 16 +-
.../numpy_extension/_register.py} | 18 +-
.../numpy_extension/image.py} | 15 +-
python/mxnet/ndarray/register.py | 116 +-
python/mxnet/ndarray/utils.py | 7 +
python/mxnet/{symbol => numpy}/__init__.py | 27 +-
python/mxnet/{symbol/__init__.py => numpy/_op.py} | 15 +-
.../{symbol/__init__.py => numpy/_register.py} | 20 +-
python/mxnet/numpy/arrayprint.py | 62 +
python/mxnet/numpy/function_base.py | 115 ++
.../test_runtime.py => python/mxnet/numpy/io.py | 45 +-
.../mxnet/{symbol/__init__.py => numpy/linalg.py} | 15 +-
python/mxnet/numpy/multiarray.py | 1879 ++++++++++++++++++++
.../mxnet/{symbol/__init__.py => numpy/random.py} | 15 +-
python/mxnet/numpy/stride_tricks.py | 56 +
.../mxnet/{symbol/__init__.py => numpy/utils.py} | 28 +-
.../mxnet/{symbol => numpy_extension}/__init__.py | 25 +-
.../{symbol/__init__.py => numpy_extension/_op.py} | 15 +-
.../__init__.py => numpy_extension/_register.py} | 20 +-
.../__init__.py => numpy_extension/image.py} | 15 +-
python/mxnet/numpy_extension/utils.py | 122 ++
python/mxnet/optimizer/optimizer.py | 34 +-
python/mxnet/runtime.py | 8 +-
python/mxnet/symbol/__init__.py | 7 +-
python/mxnet/symbol/_internal.py | 10 +-
python/mxnet/symbol/{ => numpy}/__init__.py | 21 +-
.../symbol/{__init__.py => numpy/_internal.py} | 15 +-
python/mxnet/symbol/{__init__.py => numpy/_op.py} | 15 +-
.../symbol/{__init__.py => numpy/_register.py} | 21 +-
python/mxnet/symbol/numpy/_symbol.py | 1338 ++++++++++++++
.../mxnet/symbol/{__init__.py => numpy/linalg.py} | 15 +-
.../mxnet/symbol/{__init__.py => numpy/random.py} | 15 +-
.../mxnet/symbol/{ => numpy_extension}/__init__.py | 18 +-
.../symbol/{__init__.py => numpy_extension/_op.py} | 16 +-
.../{__init__.py => numpy_extension/_register.py} | 17 +-
.../{__init__.py => numpy_extension/image.py} | 15 +-
python/mxnet/symbol/register.py | 84 +-
python/mxnet/symbol/symbol.py | 113 +-
python/mxnet/test_utils.py | 62 +-
python/mxnet/util.py | 395 +++-
src/c_api/c_api.cc | 164 +-
src/c_api/c_api_common.h | 15 +-
src/c_api/c_api_executor.cc | 12 +-
src/c_api/c_api_ndarray.cc | 10 +-
src/c_api/c_api_profile.cc | 2 +-
src/c_api/c_api_symbolic.cc | 228 ++-
src/common/cuda_utils.h | 16 +-
src/common/library.cc | 125 --
src/common/library.h | 57 -
src/common/utils.h | 12 +
src/engine/naive_engine.cc | 5 -
src/engine/threaded_engine.h | 5 -
src/engine/threaded_engine_perdevice.cc | 4 +-
src/executor/attach_op_resource_pass.cc | 4 +-
src/imperative/imperative.cc | 4 +-
src/imperative/imperative_utils.h | 7 +-
src/initialize.cc | 241 ++-
src/initialize.h | 126 ++
src/io/image_io.cc | 3 +
src/ndarray/ndarray.cc | 17 +-
src/operator/bilinear_sampler.cu | 8 +-
src/operator/contrib/multibox_detection.cc | 4 +
src/operator/contrib/multibox_prior.cc | 3 +
src/operator/contrib/multibox_target.cc | 4 +
src/operator/contrib/tvmop/ufunc.cc | 4 +-
src/operator/cudnn_bilinear_sampler-inl.h | 9 +-
src/operator/cudnn_spatial_transformer-inl.h | 9 +-
src/operator/image/crop.cc | 1 +
src/operator/image/image_random.cc | 13 +
src/operator/image/resize.cc | 1 +
src/operator/leaky_relu.cc | 1 +
src/operator/linalg.h | 50 +-
src/operator/linalg_impl.h | 243 ++-
src/operator/nn/activation.cc | 1 +
src/operator/nn/batch_norm-inl.h | 52 +-
src/operator/nn/batch_norm.cc | 1 +
src/operator/nn/batch_norm.cu | 8 +-
src/operator/nn/concat.cc | 45 +-
src/operator/nn/convolution.cc | 1 +
src/operator/nn/convolution.cu | 99 +-
src/operator/nn/cudnn/cudnn_activation-inl.h | 37 +-
src/operator/nn/cudnn/cudnn_algoreg-inl.h | 4 +-
src/operator/nn/cudnn/cudnn_batch_norm-inl.h | 46 +-
src/operator/nn/cudnn/cudnn_batch_norm.cc | 4 +-
src/operator/nn/cudnn/cudnn_batch_norm.cu | 90 -
src/operator/nn/cudnn/cudnn_convolution-inl.h | 354 +---
src/operator/nn/cudnn/cudnn_deconvolution-inl.h | 246 +--
src/operator/nn/cudnn/cudnn_pooling-inl.h | 29 +-
src/operator/nn/deconvolution.cc | 1 +
src/operator/nn/dropout.cc | 1 +
src/operator/nn/fully_connected.cc | 1 +
src/operator/nn/layer_norm.cc | 1 +
src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h | 29 +-
src/operator/nn/mkldnn/mkldnn_transpose.cc | 3 +-
src/operator/nn/pooling.cc | 3 +-
src/operator/nn/softmax.cc | 2 +
src/operator/numpy/np_broadcast_reduce_op.h | 278 +++
src/operator/numpy/np_broadcast_reduce_op_value.cc | 154 ++
src/operator/numpy/np_broadcast_reduce_op_value.cu | 48 +
src/operator/numpy/np_dot-inl.h | 110 ++
src/operator/numpy/np_dot.cc | 150 ++
src/operator/numpy/np_dot.cu | 37 +
src/operator/numpy/np_elemwise_broadcast_op.cc | 186 ++
src/operator/numpy/np_elemwise_broadcast_op.cu | 82 +
src/operator/numpy/np_init_op.cc | 114 ++
src/operator/numpy/np_init_op.cu | 47 +
src/operator/numpy/np_matrix_op-inl.h | 66 +
src/operator/numpy/np_matrix_op.cc | 308 ++++
src/operator/numpy/np_matrix_op.cu | 46 +
src/operator/numpy/np_tensordot_op-inl.h | 688 +++++++
src/operator/numpy/np_tensordot_op.cc | 235 +++
src/operator/numpy/np_tensordot_op.cu | 42 +
src/operator/numpy/np_true_divide.cc | 127 ++
src/operator/numpy/np_true_divide.cu | 41 +
.../mkldnn/mkldnn_quantized_batch_norm.cc | 123 ++
src/operator/quantization/quantize_graph_pass.cc | 42 +-
src/operator/quantization/quantized_batch_norm.cc | 137 ++
src/operator/quantization/quantized_concat.cc | 12 +-
src/operator/quantization/quantized_conv.cu | 9 +-
src/operator/quantization/quantized_pooling.cu | 9 +-
src/operator/random/sample_op.cc | 2 +
src/operator/random/shuffle_op.cc | 1 +
src/operator/rnn-inl.h | 162 +-
src/operator/rnn.cc | 3 +-
src/operator/roi_pooling.cc | 4 +
src/operator/sequence_mask.cc | 3 +
src/operator/spatial_transformer-inl.h | 2 +-
src/operator/spatial_transformer.cu | 8 +-
src/operator/special_functions-inl.h | 19 +
src/operator/swapaxis-inl.h | 42 +-
src/operator/swapaxis.cc | 2 +-
src/operator/tensor/broadcast_reduce_op.h | 183 +-
src/operator/tensor/broadcast_reduce_op_index.cc | 1 +
src/operator/tensor/dot.cc | 1 +
src/operator/tensor/elemwise_binary_broadcast_op.h | 1 +
.../tensor/elemwise_binary_broadcast_op_logic.cc | 6 +
src/operator/tensor/elemwise_binary_op.h | 16 +-
.../tensor/elemwise_binary_scalar_op_extended.cc | 3 +-
.../tensor/elemwise_binary_scalar_op_logic.cc | 6 +
src/operator/tensor/elemwise_unary_op.h | 6 +-
src/operator/tensor/elemwise_unary_op_basic.cc | 9 +-
src/operator/tensor/indexing_op.cc | 2 +
src/operator/tensor/init_op.cc | 4 +-
src/operator/tensor/la_op-inl.h | 136 +-
src/operator/tensor/la_op.cc | 166 +-
src/operator/tensor/la_op.cu | 12 +
src/operator/tensor/la_op.h | 180 ++
src/operator/tensor/matrix_op-inl.h | 152 +-
src/operator/tensor/matrix_op.cc | 15 +-
src/operator/tensor/ordering_op.cc | 1 +
src/operator/tensor/slice-inl.h | 6 +-
src/profiler/profiler.h | 15 +-
tests/cpp/engine/threaded_engine_test.cc | 117 +-
tests/nightly/test_large_array.py | 495 +++++-
.../test_large_vector.py} | 70 +-
tests/python/gpu/test_contrib_amp.py | 19 +-
tests/python/gpu/test_operator_gpu.py | 2 +
tests/python/mkl/test_quantization_mkldnn.py | 5 +-
tests/python/quantization/test_quantization.py | 136 ++
tests/python/unittest/test_dgl_graph.py | 2 +-
tests/python/unittest/test_library_loading.py | 16 +-
tests/python/unittest/test_metric.py | 18 +-
tests/python/unittest/test_ndarray.py | 122 +-
tests/python/unittest/test_numpy_ndarray.py | 672 +++++++
tests/python/unittest/test_numpy_op.py | 885 +++++++++
tests/python/unittest/test_operator.py | 79 +-
tests/python/unittest/test_runtime.py | 9 +
tests/python/unittest/test_symbol.py | 9 +
tests/python/unittest/test_thread_local.py | 36 +
tools/dependencies/README.md | 298 ++++
tools/dependencies/openblas.sh | 2 +-
tools/setup_gpu_build_tools.sh | 9 +-
251 files changed, 15277 insertions(+), 2968 deletions(-)
delete mode 100644
contrib/clojure-package/examples/infer/objectdetector/images/marcel.jpg
copy python/mxnet/symbol/__init__.py =>
contrib/clojure-package/scripts/get_test_images.sh (63%)
mode change 100644 => 100755
delete mode 100644 contrib/clojure-package/test/test-images/Pug-Cookie.jpg
delete mode 100644 contrib/clojure-package/test/test-images/kitten.jpg
create mode 100644 contrib/clojure-package/test/test_helper.clj
create mode 100644 python/mxnet/_numpy_op_doc.py
copy python/mxnet/{symbol => ndarray/numpy}/__init__.py (63%)
copy python/mxnet/{symbol/__init__.py => ndarray/numpy/_internal.py} (63%)
create mode 100644 python/mxnet/ndarray/numpy/_op.py
copy python/mxnet/{symbol/__init__.py => ndarray/numpy/_register.py} (63%)
copy python/mxnet/{symbol/__init__.py => ndarray/numpy/linalg.py} (63%)
copy python/mxnet/{symbol/__init__.py => ndarray/numpy/random.py} (63%)
copy python/mxnet/{symbol => ndarray/numpy_extension}/__init__.py (63%)
copy python/mxnet/{symbol/__init__.py => ndarray/numpy_extension/_op.py} (63%)
copy python/mxnet/{symbol/__init__.py => ndarray/numpy_extension/_register.py}
(63%)
copy python/mxnet/{symbol/__init__.py => ndarray/numpy_extension/image.py}
(63%)
copy python/mxnet/{symbol => numpy}/__init__.py (56%)
copy python/mxnet/{symbol/__init__.py => numpy/_op.py} (63%)
copy python/mxnet/{symbol/__init__.py => numpy/_register.py} (63%)
create mode 100644 python/mxnet/numpy/arrayprint.py
create mode 100644 python/mxnet/numpy/function_base.py
copy tests/python/unittest/test_runtime.py => python/mxnet/numpy/io.py (50%)
copy python/mxnet/{symbol/__init__.py => numpy/linalg.py} (63%)
create mode 100644 python/mxnet/numpy/multiarray.py
copy python/mxnet/{symbol/__init__.py => numpy/random.py} (63%)
create mode 100644 python/mxnet/numpy/stride_tricks.py
copy python/mxnet/{symbol/__init__.py => numpy/utils.py} (63%)
copy python/mxnet/{symbol => numpy_extension}/__init__.py (61%)
copy python/mxnet/{symbol/__init__.py => numpy_extension/_op.py} (63%)
copy python/mxnet/{symbol/__init__.py => numpy_extension/_register.py} (63%)
copy python/mxnet/{symbol/__init__.py => numpy_extension/image.py} (63%)
create mode 100644 python/mxnet/numpy_extension/utils.py
copy python/mxnet/symbol/{ => numpy}/__init__.py (63%)
copy python/mxnet/symbol/{__init__.py => numpy/_internal.py} (63%)
copy python/mxnet/symbol/{__init__.py => numpy/_op.py} (63%)
copy python/mxnet/symbol/{__init__.py => numpy/_register.py} (63%)
create mode 100644 python/mxnet/symbol/numpy/_symbol.py
copy python/mxnet/symbol/{__init__.py => numpy/linalg.py} (63%)
copy python/mxnet/symbol/{__init__.py => numpy/random.py} (63%)
copy python/mxnet/symbol/{ => numpy_extension}/__init__.py (63%)
copy python/mxnet/symbol/{__init__.py => numpy_extension/_op.py} (63%)
copy python/mxnet/symbol/{__init__.py => numpy_extension/_register.py} (63%)
copy python/mxnet/symbol/{__init__.py => numpy_extension/image.py} (63%)
delete mode 100644 src/common/library.cc
delete mode 100644 src/common/library.h
create mode 100644 src/initialize.h
delete mode 100644 src/operator/nn/cudnn/cudnn_batch_norm.cu
create mode 100644 src/operator/numpy/np_broadcast_reduce_op.h
create mode 100644 src/operator/numpy/np_broadcast_reduce_op_value.cc
create mode 100644 src/operator/numpy/np_broadcast_reduce_op_value.cu
create mode 100644 src/operator/numpy/np_dot-inl.h
create mode 100644 src/operator/numpy/np_dot.cc
create mode 100644 src/operator/numpy/np_dot.cu
create mode 100644 src/operator/numpy/np_elemwise_broadcast_op.cc
create mode 100644 src/operator/numpy/np_elemwise_broadcast_op.cu
create mode 100644 src/operator/numpy/np_init_op.cc
create mode 100644 src/operator/numpy/np_init_op.cu
create mode 100644 src/operator/numpy/np_matrix_op-inl.h
create mode 100644 src/operator/numpy/np_matrix_op.cc
create mode 100644 src/operator/numpy/np_matrix_op.cu
create mode 100644 src/operator/numpy/np_tensordot_op-inl.h
create mode 100644 src/operator/numpy/np_tensordot_op.cc
create mode 100644 src/operator/numpy/np_tensordot_op.cu
create mode 100644 src/operator/numpy/np_true_divide.cc
create mode 100644 src/operator/numpy/np_true_divide.cu
create mode 100644
src/operator/quantization/mkldnn/mkldnn_quantized_batch_norm.cc
create mode 100644 src/operator/quantization/quantized_batch_norm.cc
copy tests/{python/mkl/test_quantization_mkldnn.py =>
nightly/test_large_vector.py} (67%)
create mode 100644 tests/python/unittest/test_numpy_ndarray.py
create mode 100644 tests/python/unittest/test_numpy_op.py
