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Move the file to recipes_source and change runner
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.jenkins/metadata.json

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"recipes_source/torch_compile_user_defined_triton_kernel_tutorial.py": {
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"needs": "linux.g5.4xlarge.nvidia.gpu"
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},
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"recipes_source/regional_compilation.py": {
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"needs": "linux.g5.4xlarge.nvidia.gpu"
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},
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"advanced_source/semi_structured_sparse.py": {
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"needs": "linux.g5.4xlarge.nvidia.gpu"
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},

recipes_source/recipes_index.rst

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@@ -345,7 +345,7 @@ Recipes are bite-sized, actionable examples of how to use specific PyTorch featu
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:header: Reducing torch.compile cold start compilation time with regional compilation
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:card_description: Learn how to use regional compilation to control cold start compile time
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:image: ../_static/img/thumbnails/cropped/generic-pytorch-logo.png
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:link: ../recipes/recipes/regional_compilation.html
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:link: ../recipes/regional_compilation.html
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:tags: Model-Optimization
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.. Intel(R) Extension for PyTorch*

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