This is an automated email from the ASF dual-hosted git repository.
haoj pushed a change to branch numpy
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
omit 07d7a94 Fix build failure
omit b6b7b20 Numpy Tensordot Operator (#15349)
omit 8d6862d [Numpy] Numpy hstack (#15302)
omit 88e4718 numpy eye op (#15282)
omit 94b4f5d fix memory override bug in multinomial (#15397)
omit 539c66f [Numpy] Numpy compatible argsort (#15501)
omit 92c6814 Numpy Trace (#15258)
omit 27f7d76 [numpy][doc-fix] zeros_like, linspace, reciprocal, square,
and arcsin (#15377)
omit d7256c4 [numpy][doc-fix] mean, transpose, stack, split, log2, rint
and radians (#15370)
omit acb7dd7 [numpy][doc-fix] sum, copy, tile, argmax, sign, log, degrees
(#15382)
omit 9022d3c [numpy] fix cython (#15418)
omit 244c910 [numpy] Fix several places in numpy (#15398)
omit 82f0094 add doc for multinomial, dot, cumsum, clip, abs, exp, arctan
(#15386)
omit 75567b9 [numpy] Change d2l chapters cv and gan to use numpy (#15368)
omit 0a15f7e [numpy] Misc fix for other chapters (#15332)
omit 454e864 numpy-compatible cumsum (#15309)
omit 578ad3c Numpy compatible linspace (#15256)
omit 3daaa2f Numpy compatible multinomial (#15219)
omit 57fc67f Numpy compatible max (#15161)
omit 931cc5f [numpy] Fix d2l chapter 5 (#15264)
omit 95b5ca7 [numpy] [DO NOT MERGE] Fix d2l chapters 9 and 13 (#15246)
omit 30e1239 Numpy-compatible split (#15049)
omit 7a8793a fix for ch11 (#15244)
omit f249ed4 [numpy] Fix d2l chapter8 (#15237)
omit 71c344e fix for chapter6 conv nn (#15224)
omit ddc8b58 Fix (#15188)
omit b1f8cdc [numpy] Fix d2l performance regression (#15173)
omit 111fdf2 [WIP][numpy] Fix for D2L Chapters 2/3/4 (#15139)
omit 0320a50 numpy concatenate (#15104)
omit d03aaaf [numpy] Fix np branch after rebase (#15086)
omit e0c8481 Numpy Unary Ops (#15010)
omit bb3dea0 Numpy-compatible stack (#15027)
omit c3534ea Temporarily disable test_amp
omit b888e4c Change np_compat to np_shape
omit 481599e [numpy] Refactor np module (example runs through) (#15055)
omit bbaa099 [numpy] Refactor np modules (#14989)
omit 1258f72 [numpy] Some np ops for d2l (#14924)
omit 8263966 numpy-compatible mean (#14859)
omit bcebbf8 [numpy] Numpy dot (#14831)
omit 8209e21 Enable np op compat check with name prefix (#14897)
omit bfbdd4d [numpy] Infra for supporting numpy ops in imperative mode and
Gluon APIs (#14758)
omit dd449b5 [Do not review] [Do not merge] New numpy-compatible sum
(#14739)
add 01fae12 bump up version from 1.5.0 to 1.6.0 on master (#15072)
add 81ae341 [Doc] add squeeze to Array change shape (#15549)
add 8158ba4 fix typo (#15648)
add b00bb81 [Opperf] Add array rearrange operators to opperf (#15606)
add e98fea3 [MKLDNN] Enable subgraph backend mkldnn by default. (#15518)
add 5e6ba7b [Flaky test] Skip
test_operator_gpu.test_convolution_independent_gradients (#15631)
add c310763 update profiler tutorial (#15580)
new ac6b5bf [Do not review] [Do not merge] New numpy-compatible sum
(#14739)
new f846831 [numpy] Infra for supporting numpy ops in imperative mode and
Gluon APIs (#14758)
new 3fd6581 Enable np op compat check with name prefix (#14897)
new d019268 [numpy] Numpy dot (#14831)
new 8251b76 numpy-compatible mean (#14859)
new 3e1929a [numpy] Some np ops for d2l (#14924)
new 79abfc6 [numpy] Refactor np modules (#14989)
new 27f7b04 [numpy] Refactor np module (example runs through) (#15055)
new fd0cb05 Change np_compat to np_shape
new 30e808e Temporarily disable test_amp
new 1e56704 Numpy-compatible stack (#15027)
new c1e7a5e Numpy Unary Ops (#15010)
new 73cb5a6 [numpy] Fix np branch after rebase (#15086)
new 5454374 numpy concatenate (#15104)
new a7203a2 [WIP][numpy] Fix for D2L Chapters 2/3/4 (#15139)
new c73b531 [numpy] Fix d2l performance regression (#15173)
new ab38acb Fix (#15188)
new b26abdc fix for chapter6 conv nn (#15224)
new a402c0c [numpy] Fix d2l chapter8 (#15237)
new 4b2efb1 fix for ch11 (#15244)
new fff4a91 Numpy-compatible split (#15049)
new 011d66b [numpy] [DO NOT MERGE] Fix d2l chapters 9 and 13 (#15246)
new 27d5c69 [numpy] Fix d2l chapter 5 (#15264)
new 8e74390 Numpy compatible max (#15161)
new c81c129 Numpy compatible multinomial (#15219)
new d4b26e5 Numpy compatible linspace (#15256)
new 18daffe numpy-compatible cumsum (#15309)
new 0565405 [numpy] Misc fix for other chapters (#15332)
new 1e415c7 [numpy] Change d2l chapters cv and gan to use numpy (#15368)
new 13404d7 add doc for multinomial, dot, cumsum, clip, abs, exp, arctan
(#15386)
new 39f3420 [numpy] Fix several places in numpy (#15398)
new 96c04c0 [numpy] fix cython (#15418)
new fe15eb3 [numpy][doc-fix] sum, copy, tile, argmax, sign, log, degrees
(#15382)
new ae00c51 [numpy][doc-fix] mean, transpose, stack, split, log2, rint
and radians (#15370)
new 90518dd [numpy][doc-fix] zeros_like, linspace, reciprocal, square,
and arcsin (#15377)
new cb8f4b6 Numpy Trace (#15258)
new b37be26 [Numpy] Numpy compatible argsort (#15501)
new 24a14b3 fix memory override bug in multinomial (#15397)
new e080ceb numpy eye op (#15282)
new 1beb70d [Numpy] Numpy hstack (#15302)
new 31fbd2f Numpy Tensordot Operator (#15349)
new 47f4cd3 Fix build failure
This update added new revisions after undoing existing revisions.
That is to say, some revisions that were in the old version of the
branch are not in the new version. This situation occurs
when a user --force pushes a change and generates a repository
containing something like this:
* -- * -- B -- O -- O -- O (07d7a94)
\
N -- N -- N refs/heads/numpy (47f4cd3)
You should already have received notification emails for all of the O
revisions, and so the following emails describe only the N revisions
from the common base, B.
Any revisions marked "omit" are not gone; other references still
refer to them. Any revisions marked "discard" are gone forever.
The 42 revisions listed above as "new" are entirely new to this
repository and will be described in separate emails. The revisions
listed as "add" were already present in the repository and have only
been added to this reference.
Summary of changes:
R-package/DESCRIPTION | 2 +-
benchmark/opperf/nd_operations/README.md | 5 -
...g_searching_operators.py => array_rearrange.py} | 29 +-
benchmark/opperf/nd_operations/binary_operators.py | 4 +-
benchmark/opperf/opperf.py | 4 +
benchmark/opperf/rules/default_params.py | 15 +-
benchmark/opperf/utils/op_registry_utils.py | 22 ++
benchmark/opperf/utils/profiler_utils.py | 20 +-
contrib/clojure-package/README.md | 4 +-
contrib/clojure-package/examples/bert/project.clj | 2 +-
.../clojure-package/examples/captcha/project.clj | 2 +-
.../examples/cnn-text-classification/project.clj | 2 +-
contrib/clojure-package/examples/gan/project.clj | 2 +-
.../examples/imclassification/project.clj | 2 +-
.../examples/infer/imageclassifier/project.clj | 2 +-
.../examples/infer/objectdetector/project.clj | 2 +-
.../examples/infer/predictor/project.clj | 2 +-
.../clojure-package/examples/module/project.clj | 2 +-
.../examples/multi-label/project.clj | 2 +-
.../examples/neural-style/project.clj | 2 +-
.../examples/pre-trained-models/project.clj | 2 +-
.../clojure-package/examples/profiler/project.clj | 2 +-
contrib/clojure-package/examples/rnn/project.clj | 2 +-
.../clojure-package/examples/tutorial/project.clj | 2 +-
.../examples/visualization/project.clj | 2 +-
contrib/clojure-package/project.clj | 2 +-
contrib/clojure-package/scripts/update_versions.sh | 2 +-
cpp-package/example/inference/README.md | 3 -
docs/api/python/ndarray/ndarray.md | 1 +
docs/faq/env_var.md | 3 +-
docs/tutorials/c++/subgraphAPI.md | 11 +-
docs/tutorials/mkldnn/MKLDNN_README.md | 18 +-
docs/tutorials/python/profiler.md | 27 +-
docs/tutorials/scala/mxnet_scala_on_intellij.md | 6 +-
example/quantization/README.md | 29 +-
example/ssd/README.md | 2 -
julia/NEWS.md | 5 +-
python/mxnet/initializer.py | 2 +-
python/mxnet/libinfo.py | 2 +-
scala-package/README.md | 18 +-
.../src/main/scala/org/apache/mxnet/NDArray.scala | 2 +-
.../scala/org/apache/mxnet/NDArrayCollector.scala | 12 +-
.../scala/org/apache/mxnet/OperatorSuite.scala | 8 +-
scala-package/mxnet-demo/java-demo/README.md | 4 +-
scala-package/mxnet-demo/java-demo/pom.xml | 4 +-
scala-package/mxnet-demo/scala-demo/pom.xml | 4 +-
scala-package/packageTest/README.md | 2 +-
snapcraft.yaml | 2 +-
src/c_api/c_api_symbolic.cc | 8 +-
src/c_api/c_api_test.cc | 8 +-
src/executor/graph_executor.cc | 399 +++++++++++++--------
src/operator/subgraph/build_subgraph.cc | 25 +-
src/operator/subgraph/default_subgraph_property.cc | 1 +
.../subgraph/default_subgraph_property_v2.cc | 2 +
.../subgraph/mkldnn/mkldnn_conv_property.h | 14 +-
.../subgraph/mkldnn/mkldnn_subgraph_property.cc | 8 +
src/operator/subgraph/subgraph_property.h | 115 +++++-
src/operator/subgraph/tensorrt/tensorrt.cc | 2 +
tests/python/mkl/test_quantization_mkldnn.py | 4 +
tests/python/unittest/test_operator.py | 163 +++++----
60 files changed, 663 insertions(+), 392 deletions(-)
copy benchmark/opperf/nd_operations/{sorting_searching_operators.py =>
array_rearrange.py} (69%)
