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Added cpuInstructionSets to sample.json for AI samples (oneapi-src#1481)
* Added cpuInstructionSets to sample.json file for AI samples * Update * Update sample.json * Updated sample.json: * Update sample.json * Update sample.json
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  • AI-and-Analytics/Features-and-Functionality
    • IntelPyTorch_InferenceOptimizations_AMX_BF16_INT8
    • IntelPyTorch_TrainingOptimizations_AMX_BF16
    • IntelTensorFlow_AMX_BF16_Training
    • IntelTensorFlow_Transformer_AMX_bfloat16_MixedPrecision

4 files changed

+82
-89
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‎AI-and-Analytics/Features-and-Functionality/IntelPyTorch_InferenceOptimizations_AMX_BF16_INT8/sample.json

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{
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"guid": "4AE0B94D-5272-4F81-9D8B-27718072B659",
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"name": "PyTorch Inference Optimizations with Advanced Matrix Extensions Bfloat16 and Integer8",
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"categories": ["Toolkit/oneAPI AI And Analytics/AI Features and Functionality"],
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"description": "This sample illustrates how to do inference with a PyTorch model using Advanced Matrix Extensions Bfloat16 and Integer8",
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"builder": ["cli"],
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"languages": [{"python":{}}],
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"os":["linux"],
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"targetDevice": ["CPU"],
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"ciTests": {
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"linux": [
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{
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"id": "intel amx bf16 int8 inference",
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"steps": [
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"source activate pytorch",
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"python IntelPyTorch_InferenceOptimizations_AMX_BF16_INT8.py",
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"/opt/intel/oneapi/intelpython/latest/envs/pytorch/bin/python -m ipykernel install --user --name=pytorch",
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"python ci_test.py"
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]
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}
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]
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},
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"expertise": "Code Optimization"
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}
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"guid": "4AE0B94D-5272-4F81-9D8B-27718072B659",
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"name": "PyTorch Inference Optimizations with Advanced Matrix Extensions Bfloat16 and Integer8",
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"categories": ["Toolkit/oneAPI AI And Analytics/AI Features and Functionality"],
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"description": "This sample illustrates how to do inference with a PyTorch model using Advanced Matrix Extensions Bfloat16 and Integer8",
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"builder": ["cli"],
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"languages": [{ "python": {} }],
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"os": ["linux"],
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"targetDevice": ["CPU"],
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"cpuInstructionSets": ["AVX512", "AMX"],
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"ciTests": {
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"linux": [{
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"id": "intel amx bf16 int8 inference",
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"steps": [
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"source activate pytorch",
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"python IntelPyTorch_InferenceOptimizations_AMX_BF16_INT8.py",
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"/opt/intel/oneapi/intelpython/latest/envs/pytorch/bin/python -m ipykernel install --user --name=pytorch",
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"python ci_test.py"
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]
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}]
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},
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"expertise": "Code Optimization"
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}

‎AI-and-Analytics/Features-and-Functionality/IntelPyTorch_TrainingOptimizations_AMX_BF16/sample.json

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{
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"guid": "A4D97FA0-D515-4944-9970-C6742A85257F",
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"name": "PyTorch Training Optimizations with Advanced Matrix Extensions Bfloat16",
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"categories": ["Toolkit/oneAPI AI And Analytics/AI Features and Functionality"],
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"description": "This sample illustrates how to train a PyTorch model using Advanced Matrix Extensions Bfloat16",
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"builder": ["cli"],
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"languages": [{"python":{}}],
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"os":["linux"],
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"targetDevice": ["CPU"],
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"ciTests": {
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"linux": [
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{
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"id": "intel amx bf16 training",
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"steps": [
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"source activate pytorch",
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"python IntelPyTorch_TrainingOptimizations_AMX_BF16.py",
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"/opt/intel/oneapi/intelpython/latest/envs/pytorch/bin/python -m ipykernel install --user --name=pytorch",
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"python ci_test.py"
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]
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}
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]
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},
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"expertise": "Code Optimization"
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}
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"guid": "A4D97FA0-D515-4944-9970-C6742A85257F",
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"name": "PyTorch Training Optimizations with Advanced Matrix Extensions Bfloat16",
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"categories": ["Toolkit/oneAPI AI And Analytics/AI Features and Functionality"],
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"description": "This sample illustrates how to train a PyTorch model using Advanced Matrix Extensions Bfloat16",
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"builder": ["cli"],
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"languages": [{ "python": {} }],
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"os": ["linux"],
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"targetDevice": ["CPU"],
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"cpuInstructionSets": ["AVX512", "AMX"],
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"ciTests": {
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"linux": [{
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"id": "intel amx bf16 training",
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"steps": [
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"source activate pytorch",
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"python IntelPyTorch_TrainingOptimizations_AMX_BF16.py",
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"/opt/intel/oneapi/intelpython/latest/envs/pytorch/bin/python -m ipykernel install --user --name=pytorch",
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"python ci_test.py"
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]
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}]
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},
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"expertise": "Code Optimization"
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}

‎AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_AMX_BF16_Training/sample.json

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{
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"guid": "030C6A71-39DA-436E-9644-4FC25C7C5907",
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"name": "TensorFlow Training Optimizations with Advanced Matrix Extensions Bfloat16",
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"categories": ["Toolkit/oneAPI AI And Analytics/AI Features and Functionality"],
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"description": "This sample illustrates how to train a TensorFlow model using Advanced Matrix Extensions Bfloat16",
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"builder": ["cli"],
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"languages": [{"python":{}}],
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"os":["linux"],
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"targetDevice": ["CPU"],
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"ciTests": {
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"linux": [
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{
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"id": "intel amx bf16 training",
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"steps": [
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"source activate tensorflow",
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"pip install -r requirements.txt",
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"python -m pip install py-cpuinfo",
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"python Intel_TensorFlow_AMX_BF16_Training.py",
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"/opt/intel/oneapi/intelpython/latest/envs/tensorflow/bin/python -m ipykernel install --user --name=tensorflow",
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"python ci_test.py"
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]
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}
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]
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},
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"expertise": "Code Optimization"
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}
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"guid": "030C6A71-39DA-436E-9644-4FC25C7C5907",
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"name": "TensorFlow Training Optimizations with Advanced Matrix Extensions Bfloat16",
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"categories": ["Toolkit/oneAPI AI And Analytics/AI Features and Functionality"],
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"description": "This sample illustrates how to train a TensorFlow model using Advanced Matrix Extensions Bfloat16",
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"builder": ["cli"],
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"languages": [{ "python": {} }],
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"os": ["linux"],
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"targetDevice": ["CPU"],
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"cpuInstructionSets": ["AVX512", "AMX"],
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"ciTests": {
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"linux": [{
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"id": "intel amx bf16 training",
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"steps": [
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"source activate tensorflow",
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"pip install -r requirements.txt",
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"python -m pip install py-cpuinfo",
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"python Intel_TensorFlow_AMX_BF16_Training.py",
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"/opt/intel/oneapi/intelpython/latest/envs/tensorflow/bin/python -m ipykernel install --user --name=tensorflow",
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"python ci_test.py"
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]
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}]
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},
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"expertise": "Code Optimization"
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}

‎AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_Transformer_AMX_bfloat16_MixedPrecision/sample.json

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"categories": ["Toolkit/oneAPI AI And Analytics/AI Getting Started Samples"],
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"description": "This sample code demonstrates optimizing a TensorFlow model with Intel® Advanced Matrix Extensions (Intel® AMX) using bfloat16 (Brain Floating Point) on Sapphire Rapids",
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"builder": ["cli"],
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"languages": [{"python":{}}],
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"os":["linux"],
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"languages": [{ "python": {} }],
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"os": ["linux"],
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"targetDevice": ["CPU"],
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"cpuInstructionSets": ["AVX512", "AMX"],
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"ciTests": {
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"linux": [
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{
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"env": [],
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"id": "Transformer_AMX_bfloat16_Mixed_Precision_Learning",
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"steps": [
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"conda activate tensorflow",
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"conda install -y jupyter",
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"jupyter nbconvert --execute IntelTensorFlow_Transformer_AMX_bfloat16_MixedPrecision.ipynb"
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]
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}
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]
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},
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"expertise": "Getting Started"
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"linux": [{
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"env": [],
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"id": "Transformer_AMX_bfloat16_Mixed_Precision_Learning",
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"steps": [
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"conda activate tensorflow",
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"conda install -y jupyter",
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"jupyter nbconvert --execute IntelTensorFlow_Transformer_AMX_bfloat16_MixedPrecision.ipynb"
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]
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}]
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},
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"expertise": "Getting Started"
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}

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