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Comparison ops implemented using mshadow #16414

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merged 20 commits into from
Oct 14, 2019

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@reminisce reminisce commented Oct 9, 2019

Description

This PR implemented comparison operators introduced in #15940 to complement the implementation without relying on TVM. This implementation will be included in 1.6 release.

Checklist

Essentials

Please feel free to remove inapplicable items for your PR.

  • The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to the relevant JIRA issue created (except PRs with tiny changes)
  • Changes are complete (i.e. I finished coding on this PR)
  • All changes have test coverage:
  • Unit tests are added for small changes to verify correctness (e.g. adding a new operator)
  • Nightly tests are added for complicated/long-running ones (e.g. changing distributed kvstore)
  • Build tests will be added for build configuration changes (e.g. adding a new build option with NCCL)
  • Code is well-documented:
  • For user-facing API changes, API doc string has been updated.
  • For new C++ functions in header files, their functionalities and arguments are documented.
  • For new examples, README.md is added to explain the what the example does, the source of the dataset, expected performance on test set and reference to the original paper if applicable
  • Check the API doc at https://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html
  • To the my best knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change

@reminisce reminisce requested a review from szha as a code owner October 9, 2019 22:28
@reminisce reminisce changed the title Comparison ops implemented without TVM Comparison ops implemented using mshadow Oct 9, 2019
@reminisce reminisce added the Numpy label Oct 9, 2019
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@haojin2 haojin2 left a comment

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LGTM

@haojin2 haojin2 merged commit 6d6e46b into apache:master Oct 14, 2019
aaronmarkham pushed a commit to aaronmarkham/incubator-mxnet that referenced this pull request Oct 16, 2019
* boolean op without tvm working

* Fix astype for boolean arrays

* More tests

* Revert

* Fix

* Fix preprocessor in .cu

* Fix logical_not

* Print compilation flags

* Fix transpose taking negative indices

* Fix transpose negative axes

* Fix transpose

* Fix

* Try to fix USE_TVM_OP not understood in .cu

* Fix squeeze

* Finally

* Fix

* Try to fix invalid ptx

* Implement API to get cuda compute capability

* Fix test_utils.py

* Fix pylint
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2 participants