fix resnet inference demo link from ipex repo#1339
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jimmytwei merged 1 commit intooneapi-src:2023.1_AIKitoneapi-src/oneAPI-samples:2023.1_AIKitfrom Feb 7, 2023
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fix resnet inference demo link from ipex repo#1339jimmytwei merged 1 commit intooneapi-src:2023.1_AIKitoneapi-src/oneAPI-samples:2023.1_AIKitfrom ZhaoqiongZ:2023.1_AIKitCopy head branch name to clipboard
jimmytwei merged 1 commit intooneapi-src:2023.1_AIKitoneapi-src/oneAPI-samples:2023.1_AIKitfrom
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louie-tsai
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thanks for fixing missing url due to ipex github change.
it looks good to me.
just minor feedback for the gpu.patch for py file.
| @@ -0,0 +1,32 @@ | ||
| diff --git a/AI-and-Analytics/Getting-Started-Samples/Intel_Extension_For_PyTorch_GettingStarted/Intel_Extension_For_PyTorch_Hello_World.py b/AI-and-Analytics/Getting-Started-Samples/Intel_Extension_For_PyTorch_GettingStarted/Intel_Extension_For_PyTorch_Hello_World.py |
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when do we apply this patch?
should we mention how to use this patch in README?
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Hi, this patch is prepared when customer want to train with the Intel_Extension_For_Pytorch_GettingStarted.py file on XPU, so they can use this patch to quickly change to xpu demo.
Yeah, if we add this patch, maybe we should also add the instruction in README to tell customer what this is for, I will add it, or do you prefer to remove it?
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 <jimmy.t.wei@intel.com> * 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 <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com>
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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 <jimmy.t.wei@intel.com> * 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 <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com>
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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 <jimmy.t.wei@intel.com> * 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 <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com>
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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 <jimmy.t.wei@intel.com> * 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 <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com>
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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 <jimmy.t.wei@intel.com> * 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 <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com> * 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 <jimmy.t.wei@intel.com> Co-authored-by: krzeszew <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com>
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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 <jimmy.t.wei@intel.com> * 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 <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com> * 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 <jimmy.t.wei@intel.com> Co-authored-by: krzeszew <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com>
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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 <jimmy.t.wei@intel.com> * 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 <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com> * 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 <jimmy.t.wei@intel.com> Co-authored-by: krzeszew <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com>
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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 <jimmy.t.wei@intel.com> * 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 <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com> * 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 <jimmy.t.wei@intel.com> Co-authored-by: krzeszew <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com>
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…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 <jimmy.t.wei@intel.com> * 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 <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com> * 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 <jimmy.t.wei@intel.com> Co-authored-by: krzeszew <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com>
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…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 <jimmy.t.wei@intel.com> * 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 <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com> * 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 <jimmy.t.wei@intel.com> Co-authored-by: krzeszew <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com>
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* 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 <jimmy.t.wei@intel.com> * 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 <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com> * 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 <jimmy.t.wei@intel.com> Co-authored-by: krzeszew <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com>
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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 <jimmy.t.wei@intel.com> * 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 <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com> * 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 <clayne.b.robison@intel.com> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <clayne.b.robison@intel.com> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <clayne.b.robison@intel.com> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <clayne.b.robison@intel.com> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <clayne.b.robison@intel.com> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <clayne.b.robison@intel.com> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <clayne.b.robison@intel.com> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <clayne.b.robison@intel.com> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <clayne.b.robison@intel.com> * Update AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_ModelZoo_Inference_with_FP32_Int8/README.md Co-authored-by: Clayne Robison <clayne.b.robison@intel.com> * Update AI-and-Analytics/Features-and-Functionality/IntelPyTorch_TrainingOptimizations_AMX_BF16/README.md Co-authored-by: Clayne Robison <clayne.b.robison@intel.com> * Update AI-and-Analytics/Features-and-Functionality/IntelPyTorch_TrainingOptimizations_AMX_BF16/IntelPyTorch_TrainingOptimizations_AMX_BF16.ipynb Co-authored-by: Clayne Robison <clayne.b.robison@intel.com> --------- Co-authored-by: Jimmy Wei <jimmy.t.wei@intel.com> Co-authored-by: krzeszew <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com> Co-authored-by: Clayne Robison <clayne.b.robison@intel.com>
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…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 <jimmy.t.wei@intel.com> * 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 <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com> * 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 <jimmy.t.wei@intel.com> Co-authored-by: krzeszew <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com>
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Mar 24, 2023
…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 <jimmy.t.wei@intel.com> * 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 <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com> * Readme update --------- Co-authored-by: Jimmy Wei <jimmy.t.wei@intel.com> Co-authored-by: krzeszew <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com>
jimmytwei
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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 <jimmy.t.wei@intel.com> * 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 <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com> * Update readme dlkafsdkl --------- Co-authored-by: Jimmy Wei <jimmy.t.wei@intel.com> Co-authored-by: krzeszew <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com>
jimmytwei
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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 <jimmy.t.wei@intel.com> * 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 <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com> * Intel® Neural Compressor TensorFlow Getting Started Sample readme update Updates --------- Co-authored-by: Jimmy Wei <jimmy.t.wei@intel.com> Co-authored-by: krzeszew <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com>
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 <jimmy.t.wei@intel.com> * 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 <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com> * readme up text --------- Co-authored-by: Jimmy Wei <jimmy.t.wei@intel.com> Co-authored-by: krzeszew <93649016+krzeszew@users.noreply.github.com> Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com> Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com> Co-authored-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: Orel Yehuda <orel.yehuda@intel.com> Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com> Co-authored-by: Wang, Kai Lawrence <109344418+wangkl2@users.noreply.github.com> Co-authored-by: xiguiw <111278656+xiguiw@users.noreply.github.com>
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Existing Sample Changes
Description
The original demo file used in ipynb for this get started samples link changed by ipex repo.
updated demo link is https://github.com/intel/intel-extension-for-pytorch/blob/master/examples/cpu/training/single_instance_training_fp32.py
Need change in the ipynb code to wget the right link.
Fixes Issue#
External Dependencies
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How Has This Been Tested?
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