Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample #1293
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Attaching Bandit scan results with no issues. Note this was done on the Features-and-Functionality folder and all folders inside. bandit_scan_results_PyTorch_AMX_BF16_sample.txt Bandit scan results of entire top-level AI-and-Analytics folder. Skipped a file in the Jupyter folder due to a syntax error while parsing AST from file. Otherwise, no issues on files in this PR. |
jimmytwei
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* Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]>
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…cision (#1329) * Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]>
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* Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]>
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* Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) * Fix printing issue in numpy vs numba AI sample (#1356) * Fix Invalid Kmeans parameters on oneAPI 2023 (#1345) --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]>
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* Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) * Fix printing issue in numpy vs numba AI sample (#1356) * Fix Invalid Kmeans parameters on oneAPI 2023 (#1345) * Update README to add new samples into the list (#1366) --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]>
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* Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) * Fix printing issue in numpy vs numba AI sample (#1356) * Fix Invalid Kmeans parameters on oneAPI 2023 (#1345) * Update README to add new samples into the list (#1366) * PyTorch AMX BF16 Training sample: remove graphs and performance numbers (#1408) * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample * remove performance graphs, update README * remove graphs from README and folder * update top README in Features and Functionality --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]>
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…ributed linear regression (#1417) * Fixes for 2023.1 AI Kit (#1409) * Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) * Fix printing issue in numpy vs numba AI sample (#1356) * Fix Invalid Kmeans parameters on oneAPI 2023 (#1345) * Update README to add new samples into the list (#1366) * PyTorch AMX BF16 Training sample: remove graphs and performance numbers (#1408) * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample * remove performance graphs, update README * remove graphs from README and folder * update top README in Features and Functionality --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]> * Daal4py Distributed Linear Regression readme update Restructured to match the new readme template—more or less. Changed sample name to match the name in sample.json file. Updated the prerequisites to match the OS shown in the sample.json file. Restructured sections to increase clarity. Clarified and extended information on running sample in devcloud. Clarified and extended information about Jupyter Notebooks. Fixed formatting issues. Updated branding based on names in database. --------- Co-authored-by: Jimmy Wei <[email protected]> Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]>
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…dpex k nn (#1424) * Fixes for 2023.1 AI Kit (#1409) * Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) * Fix printing issue in numpy vs numba AI sample (#1356) * Fix Invalid Kmeans parameters on oneAPI 2023 (#1345) * Update README to add new samples into the list (#1366) * PyTorch AMX BF16 Training sample: remove graphs and performance numbers (#1408) * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample * remove performance graphs, update README * remove graphs from README and folder * update top README in Features and Functionality --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]> * IntelPython_Numpy_Numba_dpex_kNN readme update Updated some formatting. Added section on running the python script in local environment and on DevCloud. Extended the DevCloud information with corrected notebook name. Corrected some branding. --------- Co-authored-by: Jimmy Wei <[email protected]> Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]>
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…l4py prediction (#1434) * Fixes for 2023.1 AI Kit (#1409) * Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) * Fix printing issue in numpy vs numba AI sample (#1356) * Fix Invalid Kmeans parameters on oneAPI 2023 (#1345) * Update README to add new samples into the list (#1366) * PyTorch AMX BF16 Training sample: remove graphs and performance numbers (#1408) * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample * remove performance graphs, update README * remove graphs from README and folder * update top README in Features and Functionality --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]> * Update Python XGBoost Daal4py Prediction sample readme Restructured to match new template—with exceptions for AI kits. Updated some formatting. Corrected some branding. Corrected python script name. Added actual results from the script. Remove the images as they made little difference in intent, and referred to a different sample. --------- Co-authored-by: Jimmy Wei <[email protected]> Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]>
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…eadme update (#1452) * Fixes for 2023.1 AI Kit (#1409) * Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) * Fix printing issue in numpy vs numba AI sample (#1356) * Fix Invalid Kmeans parameters on oneAPI 2023 (#1345) * Update README to add new samples into the list (#1366) * PyTorch AMX BF16 Training sample: remove graphs and performance numbers (#1408) * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample * remove performance graphs, update README * remove graphs from README and folder * update top README in Features and Functionality --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]> * Optimize PyTorch* Models using Intel® Extension for PyTorch* readme update Restructured to match the new readme template. Restructured sections to increase clarity. Added information related to configuring conda as non-root user. Updated some formatting and branding. --------- Co-authored-by: Jimmy Wei <[email protected]> Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]>
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Mar 24, 2023
…g auto mixed precision for transfer learning (#1461) * Fixes for 2023.1 AI Kit (#1409) * Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) * Fix printing issue in numpy vs numba AI sample (#1356) * Fix Invalid Kmeans parameters on oneAPI 2023 (#1345) * Update README to add new samples into the list (#1366) * PyTorch AMX BF16 Training sample: remove graphs and performance numbers (#1408) * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample * remove performance graphs, update README * remove graphs from README and folder * update top README in Features and Functionality --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]> * Updated Enable Auto-Mixed Precision for Transfer Learning with TensorFlow readme Updated slightly since I had already restructured a version of this readme prior to original submission. Updated name in readme to match the sample.json. Corrected some branding and formatting. --------- Co-authored-by: Jimmy Wei <[email protected]> Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]>
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Mar 24, 2023
…ce optimization (#1462) * Fixes for 2023.1 AI Kit (#1409) * Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) * Fix printing issue in numpy vs numba AI sample (#1356) * Fix Invalid Kmeans parameters on oneAPI 2023 (#1345) * Update README to add new samples into the list (#1366) * PyTorch AMX BF16 Training sample: remove graphs and performance numbers (#1408) * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample * remove performance graphs, update README * remove graphs from README and folder * update top README in Features and Functionality --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]> * Optimize TensorFlow Pre-trained Model for Inference sample readme update Restructured section to match new template. Updated name in readme to match name in sample.json. Updated sample.json file for title information. Updated lots of formatting issues. Added information related to DevCloud. Added information on setting vars. Corrected spelling and grammar errors in top-level readme and readme in the “scripts” subfolder. Added link from main readme to subfolder readme. --------- Co-authored-by: Jimmy Wei <[email protected]> Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]>
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Mar 24, 2023
* Fixes for 2023.1 AI Kit (#1409) * Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) * Fix printing issue in numpy vs numba AI sample (#1356) * Fix Invalid Kmeans parameters on oneAPI 2023 (#1345) * Update README to add new samples into the list (#1366) * PyTorch AMX BF16 Training sample: remove graphs and performance numbers (#1408) * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample * remove performance graphs, update README * remove graphs from README and folder * update top README in Features and Functionality --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]> * Update Restructured to match new template. Updated some formatting. Removed images since they reference a different sample. Added section on running the python script in local environment. Corrected some branding. Added information about looking at notebook to determine how to configure the two conda environments. --------- Co-authored-by: Jimmy Wei <[email protected]> Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]>
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…1469) * Fixes for 2023.1 AI Kit (#1409) * Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) * Fix printing issue in numpy vs numba AI sample (#1356) * Fix Invalid Kmeans parameters on oneAPI 2023 (#1345) * Update README to add new samples into the list (#1366) * PyTorch AMX BF16 Training sample: remove graphs and performance numbers (#1408) * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample * remove performance graphs, update README * remove graphs from README and folder * update top README in Features and Functionality --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]> * Intel® TensorFlow* Model Zoo Inference With FP32 Int8 readme update Restructured to match new template. Updated readme sample name to match name in sample.json file. Added prerequisites information based on release notes requirements. Updated DevCloud information. Added setvars information. Updated formatting, branding, and corrected spelling and grammar issues. * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <[email protected]> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <[email protected]> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <[email protected]> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <[email protected]> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <[email protected]> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <[email protected]> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <[email protected]> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <[email protected]> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <[email protected]> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <[email protected]> * Update AI-and-Analytics/Features-and-Functionality/IntelPyTorch_TrainingOptimizations_AMX_BF16/README.md Co-authored-by: Clayne Robison <[email protected]> * Update AI-and-Analytics/Features-and-Functionality/IntelPyTorch_TrainingOptimizations_AMX_BF16/IntelPyTorch_TrainingOptimizations_AMX_BF16.ipynb Co-authored-by: Clayne Robison <[email protected]> --------- Co-authored-by: Jimmy Wei <[email protected]> Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]> Co-authored-by: Clayne Robison <[email protected]>
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Mar 24, 2023
…ure readme update (#1477) * Fixes for 2023.1 AI Kit (#1409) * Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) * Fix printing issue in numpy vs numba AI sample (#1356) * Fix Invalid Kmeans parameters on oneAPI 2023 (#1345) * Update README to add new samples into the list (#1366) * PyTorch AMX BF16 Training sample: remove graphs and performance numbers (#1408) * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample * remove performance graphs, update README * remove graphs from README and folder * update top README in Features and Functionality --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]> * TensorFlow* Performance Analysis Using Model Zoo for Intel® Architecture readme update Restructured to match new template. Corrected lots of formatting issues. Restructured and rewrote for clarity. Updated branding based on current guidelines. Removed on unnecessary image. --------- Co-authored-by: Jimmy Wei <[email protected]> Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]>
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…d Precision Learning readme update (#1479) * Fixes for 2023.1 AI Kit (#1409) * Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) * Fix printing issue in numpy vs numba AI sample (#1356) * Fix Invalid Kmeans parameters on oneAPI 2023 (#1345) * Update README to add new samples into the list (#1366) * PyTorch AMX BF16 Training sample: remove graphs and performance numbers (#1408) * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample * remove performance graphs, update README * remove graphs from README and folder * update top README in Features and Functionality --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]> * Readme update --------- Co-authored-by: Jimmy Wei <[email protected]> Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]>
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Mar 24, 2023
…#1480) * Fixes for 2023.1 AI Kit (#1409) * Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) * Fix printing issue in numpy vs numba AI sample (#1356) * Fix Invalid Kmeans parameters on oneAPI 2023 (#1345) * Update README to add new samples into the list (#1366) * PyTorch AMX BF16 Training sample: remove graphs and performance numbers (#1408) * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample * remove performance graphs, update README * remove graphs from README and folder * update top README in Features and Functionality --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]> * Update readme dlkafsdkl --------- Co-authored-by: Jimmy Wei <[email protected]> Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]>
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Mar 29, 2023
…date (#1490) * Fixes for 2023.1 AI Kit (#1409) * Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) * Fix printing issue in numpy vs numba AI sample (#1356) * Fix Invalid Kmeans parameters on oneAPI 2023 (#1345) * Update README to add new samples into the list (#1366) * PyTorch AMX BF16 Training sample: remove graphs and performance numbers (#1408) * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample * remove performance graphs, update README * remove graphs from README and folder * update top README in Features and Functionality --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]> * Intel® Neural Compressor TensorFlow Getting Started Sample readme update Updates --------- Co-authored-by: Jimmy Wei <[email protected]> Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]>
jimmytwei
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Apr 10, 2023
… readme update (#1492) * Fixes for 2023.1 AI Kit (#1409) * Intel Python Numpy Numba_dpes kNN sample (#1292) * *.py and *.ipynb files with implementation * README.md and sample.json files with documentation * License and thir party programs * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293) * add IntelPytorch Quantization code samples (#1301) * 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 <[email protected]> * AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316) * Update README.md * [New Sample] oneCCL Bindings for PyTorch Getting Started * Update README.md * add torch-ccl version check * [New Sample] Intel Extension for PyTorch Getting Started (#1314) * add new ipex GSG notebook for dGPU * Update sample.json for expertise field * Update requirements.txt Update package versions to comply with Snyk tool * Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) * Fix printing issue in numpy vs numba AI sample (#1356) * Fix Invalid Kmeans parameters on oneAPI 2023 (#1345) * Update README to add new samples into the list (#1366) * PyTorch AMX BF16 Training sample: remove graphs and performance numbers (#1408) * Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample * remove performance graphs, update README * remove graphs from README and folder * update top README in Features and Functionality --------- Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]> * readme up text --------- Co-authored-by: Jimmy Wei <[email protected]> Co-authored-by: krzeszew <[email protected]> Co-authored-by: alexsin368 <[email protected]> Co-authored-by: ZhaoqiongZ <[email protected]> Co-authored-by: Louie Tsai <[email protected]> Co-authored-by: Orel Yehuda <[email protected]> Co-authored-by: yuning <[email protected]> Co-authored-by: Wang, Kai Lawrence <[email protected]> Co-authored-by: xiguiw <[email protected]>
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Description
Demonstrate how to enable/disable Advanced Matrix Extensions during runtime with Intel Extension for PyTorch and see mixed precision performance improvements with the Bfloat16 datatype.
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