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[oneDNN EP] Optimized DynamicQuantizeLinear operator#12403

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jywu-msft merged 1 commit intomicrosoft:masterfrom
eralmual:dql_optim
Aug 3, 2022
Merged

[oneDNN EP] Optimized DynamicQuantizeLinear operator#12403
jywu-msft merged 1 commit intomicrosoft:masterfrom
eralmual:dql_optim

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@eralmual
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@eralmual eralmual commented Aug 1, 2022

  • Removed unnecesary reorders
  • Removed unnecesary element wise clip

Description: Improved performance on the DynamicQuantizeLinear operator

Motivation and Context

  • Why is this change required? What problem does it solve?
  • Improves performance in multiple models
  • If it fixes an open issue, please link to the issue here.

* Removed unnecesary reorders
* Removed unnecesary element wise clip
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eralmual commented Aug 1, 2022

@jywu-msft maintainer please run /azp run Linux DNNL CI Pipeline since this is the primary pipeline for testing the OneDNN execution provider.

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/azp run Linux DNNL CI Pipeline

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Azure Pipelines successfully started running 1 pipeline(s).

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/azp run Linux CPU CI Pipeline, Linux CPU Minimal Build E2E CI Pipeline, Linux GPU CI Pipeline, Linux GPU TensorRT CI Pipeline, Linux Nuphar CI Pipeline, Linux OpenVINO CI Pipeline, MacOS CI Pipeline, ONNX Runtime Web CI Pipeline, Windows CPU CI Pipeline, Windows GPU CI Pipeline

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/azp run Windows GPU TensorRT CI Pipeline, onnxruntime-binary-size-checks-ci-pipeline, onnxruntime-python-checks-ci-pipeline, orttraining-linux-ci-pipeline, orttraining-linux-gpu-ci-pipeline, orttraining-ortmodule-distributed

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Azure Pipelines successfully started running 6 pipeline(s).

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Azure Pipelines successfully started running 10 pipeline(s).

@jywu-msft jywu-msft merged commit d1497bd into microsoft:master Aug 3, 2022
@eralmual eralmual deleted the dql_optim branch August 3, 2022 19:38
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2 participants