2023.1 AI Kit Samples PR#1322
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2023.1 AI Kit Samples PR#1322
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* *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs
* add IntelPytorch Quantization code samples * fix the spelling error in the README file * use john's README with grammar fix and title change * Rename third-party-grograms.txt to third-party-programs.txt Co-authored-by: Jimmy Wei <jimmy.t.wei@intel.com>
* first draft * Update README.md * remove redunant file
* New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix
* Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check
* add new ipex GSG notebook for dGPU * Update sample.json for expertise field
Update package versions to comply with Snyk tool
louie-tsai
approved these changes
Jan 27, 2023
praveenkk123
approved these changes
Jan 27, 2023
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Adding a New Sample(s)
This PR adds the following samples to the master branch for the 2023.1 AI Kit release.
Intel Python Numpy Numba_dpes kNN sample
Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample
add IntelPytorch Quantization code samples
AMX bfloat16 mixed precision learning TensorFlow Transformer sample
Intel Extension for TensorFlow Getting Started
oneDNN Benchdnn tutorial
oneCCL Bindings for PyTorch Getting Started
Intel Extension for PyTorch Getting Started
Description
See above and individual PRs.
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