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.lintrunner.toml

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@@ -66,15 +66,15 @@ exclude_patterns = [
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"intermediate_source/tiatoolbox_tutorial.rst",
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"intermediate_source/torch_compile_tutorial.py",
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"intermediate_source/transformer_building_blocks.py",
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"prototype_source/README.md",
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"prototype_source/README.txt",
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"prototype_source/backend_config_tutorial.rst",
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"prototype_source/gpu_direct_storage.py",
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"prototype_source/inductor_cpp_wrapper_tutorial.rst",
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"prototype_source/inductor_windows.rst",
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"prototype_source/maskedtensor_advanced_semantics.py",
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"prototype_source/max_autotune_on_CPU_tutorial.rst",
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"prototype_source/vmap_recipe.py",
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"unstable_source/README.md",
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"unstable_source/README.txt",
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"unstable_source/backend_config_tutorial.rst",
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"unstable_source/gpu_direct_storage.py",
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"unstable_source/inductor_cpp_wrapper_tutorial.rst",
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"unstable_source/inductor_windows.rst",
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"unstable_source/maskedtensor_advanced_semantics.py",
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"unstable_source/max_autotune_on_CPU_tutorial.rst",
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"unstable_source/vmap_recipe.py",
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"recipes_source/README.txt",
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"recipes_source/amx.rst",
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"recipes_source/compiling_optimizer.rst",
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"intermediate_source/README.txt",
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"intermediate_source/TP_tutorial.rst",
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"intermediate_source/inductor_debug_cpu.py",
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"prototype_source/README.txt",
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"unstable_source/README.txt",
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"recipes_source/README.txt",
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"recipes_source/recipes/README.txt",
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"recipes_source/xeon_run_cpu.rst",

unstable_source/vulkan_workflow.rst

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@@ -199,8 +199,6 @@ For Android API to run model on Vulkan backend we have to specify this during mo
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In this case, all inputs will be transparently copied from CPU to the Vulkan device, and model will be run on Vulkan device, the output will be copied transparently to CPU.
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The example of using Vulkan backend can be found in test application within the PyTorch repository:
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https://github.com/pytorch/pytorch/blob/master/android/test_app/app/src/main/java/org/pytorch/testapp/MainActivity.java#L133
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Building android test app with Vulkan
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