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merged 6 commits into from
Mar 27, 2023
Merged

Added cpuInstructionSets to sample.json for AI samples #1481

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Added cpuInstructionSets to sample.json file for AI samples
jimmytwei Mar 24, 2023
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jimmytwei Mar 24, 2023
7df5692
Update sample.json
jimmytwei Mar 24, 2023
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jimmytwei Mar 24, 2023
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jimmytwei Mar 24, 2023
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jimmytwei Mar 27, 2023
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46 changes: 22 additions & 24 deletions .../Features-and-Functionality/IntelPyTorch_InferenceOptimizations_AMX_BF16_INT8/sample.json
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@@ -1,25 +1,23 @@
{
"guid": "4AE0B94D-5272-4F81-9D8B-27718072B659",
"name": "PyTorch Inference Optimizations with Advanced Matrix Extensions Bfloat16 and Integer8",
"categories": ["Toolkit/oneAPI AI And Analytics/AI Features and Functionality"],
"description": "This sample illustrates how to do inference with a PyTorch model using Advanced Matrix Extensions Bfloat16 and Integer8",
"builder": ["cli"],
"languages": [{"python":{}}],
"os":["linux"],
"targetDevice": ["CPU"],
"ciTests": {
"linux": [
{
"id": "intel amx bf16 int8 inference",
"steps": [
"source activate pytorch",
"python IntelPyTorch_InferenceOptimizations_AMX_BF16_INT8.py",
"/opt/intel/oneapi/intelpython/latest/envs/pytorch/bin/python -m ipykernel install --user --name=pytorch",
"python ci_test.py"
]
}
]
},
"expertise": "Code Optimization"
}

"guid": "4AE0B94D-5272-4F81-9D8B-27718072B659",
"name": "PyTorch Inference Optimizations with Advanced Matrix Extensions Bfloat16 and Integer8",
"categories": ["Toolkit/oneAPI AI And Analytics/AI Features and Functionality"],
"description": "This sample illustrates how to do inference with a PyTorch model using Advanced Matrix Extensions Bfloat16 and Integer8",
"builder": ["cli"],
"languages": [{ "python": {} }],
"os": ["linux"],
"targetDevice": ["CPU"],
"cpuInstructionSets": ["AVX512", "AMX"],
"ciTests": {
"linux": [{
"id": "intel amx bf16 int8 inference",
"steps": [
"source activate pytorch",
"python IntelPyTorch_InferenceOptimizations_AMX_BF16_INT8.py",
"/opt/intel/oneapi/intelpython/latest/envs/pytorch/bin/python -m ipykernel install --user --name=pytorch",
"python ci_test.py"
]
}]
},
"expertise": "Code Optimization"
}
46 changes: 22 additions & 24 deletions ...lytics/Features-and-Functionality/IntelPyTorch_TrainingOptimizations_AMX_BF16/sample.json
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@@ -1,25 +1,23 @@
{
"guid": "A4D97FA0-D515-4944-9970-C6742A85257F",
"name": "PyTorch Training Optimizations with Advanced Matrix Extensions Bfloat16",
"categories": ["Toolkit/oneAPI AI And Analytics/AI Features and Functionality"],
"description": "This sample illustrates how to train a PyTorch model using Advanced Matrix Extensions Bfloat16",
"builder": ["cli"],
"languages": [{"python":{}}],
"os":["linux"],
"targetDevice": ["CPU"],
"ciTests": {
"linux": [
{
"id": "intel amx bf16 training",
"steps": [
"source activate pytorch",
"python IntelPyTorch_TrainingOptimizations_AMX_BF16.py",
"/opt/intel/oneapi/intelpython/latest/envs/pytorch/bin/python -m ipykernel install --user --name=pytorch",
"python ci_test.py"
]
}
]
},
"expertise": "Code Optimization"
}

"guid": "A4D97FA0-D515-4944-9970-C6742A85257F",
"name": "PyTorch Training Optimizations with Advanced Matrix Extensions Bfloat16",
"categories": ["Toolkit/oneAPI AI And Analytics/AI Features and Functionality"],
"description": "This sample illustrates how to train a PyTorch model using Advanced Matrix Extensions Bfloat16",
"builder": ["cli"],
"languages": [{ "python": {} }],
"os": ["linux"],
"targetDevice": ["CPU"],
"cpuInstructionSets": ["AVX512", "AMX"],
"ciTests": {
"linux": [{
"id": "intel amx bf16 training",
"steps": [
"source activate pytorch",
"python IntelPyTorch_TrainingOptimizations_AMX_BF16.py",
"/opt/intel/oneapi/intelpython/latest/envs/pytorch/bin/python -m ipykernel install --user --name=pytorch",
"python ci_test.py"
]
}]
},
"expertise": "Code Optimization"
}
50 changes: 24 additions & 26 deletions AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_AMX_BF16_Training/sample.json
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@@ -1,27 +1,25 @@
{
"guid": "030C6A71-39DA-436E-9644-4FC25C7C5907",
"name": "TensorFlow Training Optimizations with Advanced Matrix Extensions Bfloat16",
"categories": ["Toolkit/oneAPI AI And Analytics/AI Features and Functionality"],
"description": "This sample illustrates how to train a TensorFlow model using Advanced Matrix Extensions Bfloat16",
"builder": ["cli"],
"languages": [{"python":{}}],
"os":["linux"],
"targetDevice": ["CPU"],
"ciTests": {
"linux": [
{
"id": "intel amx bf16 training",
"steps": [
"source activate tensorflow",
"pip install -r requirements.txt",
"python -m pip install py-cpuinfo",
"python Intel_TensorFlow_AMX_BF16_Training.py",
"/opt/intel/oneapi/intelpython/latest/envs/tensorflow/bin/python -m ipykernel install --user --name=tensorflow",
"python ci_test.py"
]
}
]
},
"expertise": "Code Optimization"
}

"guid": "030C6A71-39DA-436E-9644-4FC25C7C5907",
"name": "TensorFlow Training Optimizations with Advanced Matrix Extensions Bfloat16",
"categories": ["Toolkit/oneAPI AI And Analytics/AI Features and Functionality"],
"description": "This sample illustrates how to train a TensorFlow model using Advanced Matrix Extensions Bfloat16",
"builder": ["cli"],
"languages": [{ "python": {} }],
"os": ["linux"],
"targetDevice": ["CPU"],
"cpuInstructionSets": ["AVX512", "AMX"],
"ciTests": {
"linux": [{
"id": "intel amx bf16 training",
"steps": [
"source activate tensorflow",
"pip install -r requirements.txt",
"python -m pip install py-cpuinfo",
"python Intel_TensorFlow_AMX_BF16_Training.py",
"/opt/intel/oneapi/intelpython/latest/envs/tensorflow/bin/python -m ipykernel install --user --name=tensorflow",
"python ci_test.py"
]
}]
},
"expertise": "Code Optimization"
}
29 changes: 14 additions & 15 deletions ...res-and-Functionality/IntelTensorFlow_Transformer_AMX_bfloat16_MixedPrecision/sample.json
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Expand Up @@ -4,21 +4,20 @@
"categories": ["Toolkit/oneAPI AI And Analytics/AI Getting Started Samples"],
"description": "This sample code demonstrates optimizing a TensorFlow model with Intel® Advanced Matrix Extensions (Intel® AMX) using bfloat16 (Brain Floating Point) on Sapphire Rapids",
"builder": ["cli"],
"languages": [{"python":{}}],
"os":["linux"],
"languages": [{ "python": {} }],
"os": ["linux"],
"targetDevice": ["CPU"],
"cpuInstructionSets": ["AVX512", "AMX"],
"ciTests": {
"linux": [
{
"env": [],
"id": "Transformer_AMX_bfloat16_Mixed_Precision_Learning",
"steps": [
"conda activate tensorflow",
"conda install -y jupyter",
"jupyter nbconvert --execute IntelTensorFlow_Transformer_AMX_bfloat16_MixedPrecision.ipynb"
]
}
]
},
"expertise": "Getting Started"
"linux": [{
"env": [],
"id": "Transformer_AMX_bfloat16_Mixed_Precision_Learning",
"steps": [
"conda activate tensorflow",
"conda install -y jupyter",
"jupyter nbconvert --execute IntelTensorFlow_Transformer_AMX_bfloat16_MixedPrecision.ipynb"
]
}]
},
"expertise": "Getting Started"
}