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From apefor...@apache.org
Subject [incubator-mxnet] branch v1.6.x updated (4e03e6a -> 86ed5f5)
Date Tue, 29 Oct 2019 01:32:27 GMT
This is an automated email from the ASF dual-hosted git repository.

apeforest pushed a change to branch v1.6.x
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.


    from 4e03e6a  Disables test_bulking_operator_gpu due to flakiness (#16611)
     add c0e616f  C Api for simplebind, fix comment for trigoops, add atol to assert (#16585)
     add c574067  Imagenet inference to nightly fix (#16599)
     add 7862738  Fix python doc build issue (#16630)
     add 0712f00  Faster general take (#16615)
     add 8c44af4  [Gluon] Don't serialize shared parameters twice (#16582)
     add e262455  Fix index overflow bug in einsum (#16589)
     add 29e467b  Move some subgraph verbose to MXNET_SUBGRAPH_VERBOSE=2 (#16622)
     add c130cc9  add npx reshape (#16640)
     add 9f21cdd  RNNOp only call cuda/cudnn if GPU ctx is requested (#16632)
     add 73c6b4a  fix bad encode (#16641)
     add 84d61a1  [Perl] - ndarray to native array conversion fix (#16635)
     add d12e674  fixing broken links in multiple files - round 3 (#16634)
     add 22e5ae3  add type switch to weight tensor (#16543)
     add 6ab4220  numpy doc enhancement (#16637)
     add ffc5392  Disable float16 test (#16643)
     add 11dff51  Fix GetMKLDNNData for delay alloc (#16618)
     add 9322864  Infra for tvm op runtime dispatch (#16100)
     add 86ed5f5  [NumPy][Operator] NumPy operator `may_share_memory` and `shares_memory`
(#16533)

No new revisions were added by this update.

Summary of changes:
 CMakeLists.txt                                     |   2 +-
 Makefile                                           |   4 +-
 benchmark/python/einsum/benchmark_einsum.py        |   9 +
 benchmark/python/tvmop/benchmark_tvmop.py          |  57 ++
 ci/docker/runtime_functions.sh                     |   5 +-
 ci/jenkins/Jenkins_steps.groovy                    |  20 +-
 contrib/tvmop/compile.py                           |  13 +
 contrib/tvmop/core/__init__.py                     |   2 +-
 contrib/tvmop/core/multiarray.py                   |  53 ++
 contrib/tvmop/opdef.py                             |  42 +-
 contrib/tvmop/space.py                             | 212 +++++++
 docs/python_docs/environment.yml                   |  19 +-
 .../python/tutorials/extend/custom_layer.md        |   2 +-
 .../gluon_from_experiment_to_deployment.md         |   4 +-
 .../packages/gluon/training/fit_api_tutorial.md    |   2 +-
 .../tutorials/packages/ndarray/sparse/train.md     |   4 +-
 .../packages/ndarray/sparse/train_gluon.md         |  35 +-
 .../tutorials/packages/onnx/fine_tuning_gluon.md   |   2 +-
 .../python/tutorials/packages/viz/index.rst        |   2 +-
 .../backend/mkldnn/mkldnn_quantization.md          |   4 +-
 .../tutorials/performance/backend/profiler.md      |   2 +-
 .../performance/backend/tensorrt/tensorrt.md       |   4 +-
 docs/static_site/src/pages/api/api.html            |   2 +-
 .../docs/tutorials/mxnet_cpp_inference_tutorial.md |  16 +-
 docs/static_site/src/pages/api/faq/float16.md      |   2 +-
 docs/static_site/src/pages/api/faq/perf.md         |   6 +-
 .../src/pages/get_started/build_from_source.md     |   2 +-
 include/mxnet/c_api.h                              |  64 +++
 julia/docs/src/api/io.md                           |   2 +-
 julia/docs/src/tutorial/char-lstm.md               |   2 +-
 julia/docs/src/tutorial/mnist.md                   |   4 +-
 perl-package/AI-MXNet/lib/AI/MXNet/NDArray.pm      |   6 +-
 perl-package/AI-MXNet/t/test_ndarray.t             |  19 +-
 python/mxnet/__init__.py                           |   2 +
 python/mxnet/_ctypes/space.py                      |  96 ++++
 python/mxnet/_numpy_op_doc.py                      | 126 +++++
 python/mxnet/base.py                               |   9 +-
 python/mxnet/gluon/block.py                        |  35 +-
 python/mxnet/gluon/parameter.py                    |   3 +-
 python/mxnet/libinfo.py                            |  31 +
 python/mxnet/ndarray/numpy/_op.py                  | 230 +++++++-
 python/mxnet/ndarray/numpy/random.py               |  12 +-
 python/mxnet/numpy/linalg.py                       |  25 +
 python/mxnet/numpy/multiarray.py                   | 622 +++++++++++++++++++--
 python/mxnet/numpy/random.py                       |  80 ++-
 python/mxnet/numpy/stride_tricks.py                |   9 +
 python/mxnet/numpy/utils.py                        |   4 +-
 python/mxnet/numpy_dispatch_protocol.py            |   6 +-
 python/mxnet/numpy_extension/random.py             |   2 +-
 python/mxnet/space.py                              |   1 +
 python/mxnet/symbol/numpy/_symbol.py               |  96 +++-
 python/mxnet/symbol/numpy/random.py                |   8 +-
 python/mxnet/symbol/symbol.py                      | 110 ++--
 python/mxnet/{gluon/__init__.py => tvmop.py}       |  33 +-
 python/mxnet/util.py                               |  63 ++-
 src/c_api/c_api.cc                                 |  23 +
 src/c_api/c_api_executor.cc                        | 231 ++++++--
 src/ndarray/ndarray.cc                             |   2 +
 src/operator/contrib/allclose_op-inl.h             |   4 +-
 src/operator/contrib/boolean_mask.cc               |   2 +-
 src/operator/contrib/boolean_mask.cu               |   2 +-
 src/operator/contrib/tvmop/dot.cc                  | 153 +++++
 src/operator/mxnet_op.h                            |  12 +
 src/operator/numpy/np_broadcast_reduce_op_index.cc |  11 +
 src/operator/numpy/np_broadcast_reduce_op_index.cu |   3 +
 src/operator/numpy/np_einsum_op-inl.h              | 172 +++---
 src/operator/numpy/np_einsum_op.cc                 |  11 +
 src/operator/numpy/np_einsum_path_op-inl.h         | 114 ++--
 src/operator/numpy/np_matrix_op-inl.h              |  54 +-
 src/operator/numpy/np_matrix_op.cc                 | 206 ++++++-
 src/operator/numpy/np_matrix_op.cu                 |   3 +
 src/operator/numpy/np_memory_op.cc                 |  62 ++
 .../quantize.cu => numpy/np_memory_op.cu}          |  12 +-
 src/operator/numpy/np_memory_op.h                  |  75 +++
 src/operator/numpy/np_nonzero_op.cc                |   3 +-
 src/operator/numpy/np_nonzero_op.cu                |   2 +-
 src/operator/numpy/random/np_choice_op.h           |  20 +-
 src/operator/rnn-inl.h                             |   5 +
 src/operator/subgraph/build_subgraph.cc            |   2 +-
 src/operator/tensor/indexing_op.cc                 |  59 +-
 src/operator/tensor/indexing_op.cu                 |  61 +-
 src/operator/tensor/indexing_op.h                  |  28 +-
 src/operator/tvmop/op_module.cc                    |  12 +-
 src/operator/tvmop/op_module.h                     |  74 +++
 tests/nightly/JenkinsfileForBinaries               |  10 +-
 tests/nightly/test_large_array.py                  |   6 +-
 tests/nightly/test_large_vector.py                 |  49 +-
 tests/python/unittest/test_gluon.py                |  40 ++
 tests/python/unittest/test_numpy_gluon.py          |  23 +
 .../python/unittest/test_numpy_interoperability.py |  77 +++
 tests/python/unittest/test_numpy_op.py             | 203 +++++--
 91 files changed, 3476 insertions(+), 577 deletions(-)
 create mode 100644 benchmark/python/tvmop/benchmark_tvmop.py
 create mode 100644 contrib/tvmop/core/multiarray.py
 create mode 100644 contrib/tvmop/space.py
 create mode 100644 python/mxnet/_ctypes/space.py
 create mode 120000 python/mxnet/space.py
 copy python/mxnet/{gluon/__init__.py => tvmop.py} (58%)
 create mode 100644 src/operator/contrib/tvmop/dot.cc
 create mode 100644 src/operator/numpy/np_memory_op.cc
 copy src/operator/{quantization/quantize.cu => numpy/np_memory_op.cu} (82%)
 create mode 100644 src/operator/numpy/np_memory_op.h


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