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[MKLDNN]Improve quantizeV2 and dequantize latency #14641

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merged 9 commits into from Apr 18, 2019

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ZhennanQin
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@ZhennanQin ZhennanQin commented Apr 8, 2019

Description

Change quantizeV2 and dequantize to stateful op to improve small batch size performance.

@pengzhao-intel @TaoLv @reminisce @zheng-da @anirudh2290

Checklist

Essentials

Please feel free to remove inapplicable items for your PR.

  • The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to the relevant JIRA issue created (except PRs with tiny changes)
  • Changes are complete (i.e. I finished coding on this PR)
  • All changes have test coverage:
  • Unit tests are added for small changes to verify correctness (e.g. adding a new operator)
  • Nightly tests are added for complicated/long-running ones (e.g. changing distributed kvstore)
  • Build tests will be added for build configuration changes (e.g. adding a new build option with NCCL)
  • Code is well-documented:
  • For user-facing API changes, API doc string has been updated.
  • For new C++ functions in header files, their functionalities and arguments are documented.
  • For new examples, README.md is added to explain the what the example does, the source of the dataset, expected performance on test set and reference to the original paper if applicable
  • Check the API doc at http://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$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

@piyushghai
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@ZhennanQin Thanks for your contributions. Can you look at the CI failures ?
@mxnet-label-bot Add [Quantization, pr-work-in-progress]

@marcoabreu marcoabreu added pr-work-in-progress PR is still work in progress Quantization Issues/Feature Requests related to Quantization labels Apr 8, 2019
@glingyan
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@piyushghai ping for any further comments?

@ZhennanQin ZhennanQin changed the title [WIP]stateful_quantize [MKLDNN]Improve quantizeV2 and dequantize latency Apr 16, 2019
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@pengzhao-intel pengzhao-intel left a comment

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LGTM

The change has been verified internally by our auto-ci with real models :)

@anirudh2290 Thanks for the review and really good suggestions.

@pengzhao-intel
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Merging now.

@pengzhao-intel pengzhao-intel merged commit a083a61 into apache:master Apr 18, 2019
kedarbellare pushed a commit to kedarbellare/incubator-mxnet that referenced this pull request Apr 20, 2019
* stateful_quantize

* fix lint

* Fix build

* fix gpu build

* Fix typo

* Move check to online calibration
@ZhennanQin ZhennanQin deleted the stateful_quantize branch May 31, 2019 02:07
haohuanw pushed a commit to haohuanw/incubator-mxnet that referenced this pull request Jun 23, 2019
* stateful_quantize

* fix lint

* Fix build

* fix gpu build

* Fix typo

* Move check to online calibration
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6 participants