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[MKLDNN] enable MaxPooling with full pooling convention #16860

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merged 12 commits into from
Dec 16, 2019

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ZhennanQin
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Description

It seems MKLDNN supports MaxPooling with full pooling convention. Mobilenet_v3 uses this and the accuracy remains the same.

@pengzhao-intel @TaoLv

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

Changes

  • Feature1, tests, (and when applicable, API doc)
  • Feature2, tests, (and when applicable, API doc)

Comments

  • If this change is a backward incompatible change, why must this change be made.
  • Interesting edge cases to note here

@pengzhao-intel pengzhao-intel added this to In progress in CPU Performance and Quantization via automation Nov 20, 2019
@pengzhao-intel
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Please rebase the code

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@pengzhao-intel pengzhao-intel left a comment

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LGTM

CPU Performance and Quantization automation moved this from In progress to Reviewer approved Dec 16, 2019
@pengzhao-intel pengzhao-intel merged commit 52c9a45 into apache:master Dec 16, 2019
CPU Performance and Quantization automation moved this from Reviewer approved to Done Dec 16, 2019
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2 participants