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Add new sample for TensorFlow AMX BF16 Inference #1549

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YuningQiu
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@YuningQiu YuningQiu commented Apr 12, 2023

Existing Sample Changes

Description

Add new sample for TensorFlow AMX BF16 Inference.

Fixes Issue#

External Dependencies

List any external dependencies created as a result of this change.

Type of change

Please delete options that are not relevant. Add a 'X' to the one that is applicable.

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Implement fixes for ONSAM Jiras

How Has This Been Tested?

Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration

  • Command Line
  • oneapi-cli
  • Visual Studio
  • Eclipse IDE
  • VSCode
  • When compiling the compliler flag "-Wall -Wformat-security -Werror=format-security" was used

Delete this line and everything below if this is not a PR for a new code sample

Delete this line and all above it if this PR is for a new code sample

Adding a New Sample(s)

Description

Please include a description of the sample

Checklist

Administrative

  • Review sample design with the appropriate Domain Expert:
  • If you have any new dependencies/binaries, inform the oneAPI Code Samples Project Manager

Code Development

Security and Legal

  • OSPDT Approval (see Project Manager for assistance)
  • Compile using the following compiler flags and fix any warnings, the falgs are: "/Wall -Wformat-security -Werror=format-security"
  • Bandit Scans (Python only)
  • Virus scan

Review

  • Review DPC++ code with Paul Peterseon. (GitHub User: pmpeter1)
  • Review readme with Tom Lenth(@tomlenth) and/or Project Manager
  • Tested using Dev Cloud when applicable

@jimmytwei
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@jkinsky If you reviewed the README already, please ignore.

@jkinsky
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jkinsky commented Apr 13, 2023

I reviewed this separately and sent extensive changes to the owner.

@jimmytwei jimmytwei merged commit 73d7ca2 into oneapi-src:2023.1.1_AIKit Apr 14, 2023
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4 participants