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beginner_source/onnx/README.txt

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1. intro_onnx.py
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Introduction to ONNX
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https://pytorch.org/tutorials/onnx/intro_onnx.html
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https://pytorch.org/tutorials/beginner/onnx/intro_onnx.html
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2. export_simple_model_to_onnx_tutorial.py
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Exporting a PyTorch model to ONNX

en-wordlist.txt

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fp
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frontend
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functionalized
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functionalizes
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functionalization
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functorch
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fuser
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geomean

intermediate_source/inductor_debug_cpu.py

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#
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# Meanwhile, you may also find related tutorials about ``torch.compile``
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# around `basic usage <https://pytorch.org/tutorials/intermediate/torch_compile_tutorial.html>`_,
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# comprehensive `troubleshooting <https://pytorch.org/docs/stable/dynamo/troubleshooting.html>`_
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# and GPU-specific knowledge like `GPU performance profiling <https://github.com/pytorch/pytorch/blob/main/docs/source/compile/profiling_torch_compile.rst>`_.
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# comprehensive `troubleshooting <https://pytorch.org/docs/stable/torch.compiler_troubleshooting.html>`_
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# and GPU-specific knowledge like `GPU performance profiling <https://pytorch.org/docs/stable/torch.compiler_inductor_profiling.html>`_.
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#
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# We will start debugging with a motivating example that triggers compilation issues and accuracy problems
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# by demonstrating the process of debugging to pinpoint the problems.
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return (neg,)
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######################################################################
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# For more usage details about Minifier, please refer to `Troubleshooting <https://pytorch.org/docs/stable/dynamo/troubleshooting.html>`_.
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# For more usage details about Minifier, please refer to `Troubleshooting <https://pytorch.org/docs/stable/torch.compiler_troubleshooting.html>`_.
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######################################################################

recipes_source/distributed_device_mesh.rst

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# Users can access the underlying process group thru `get_group` API.
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replicate_group = hsdp_mesh["replicate"].get_group()
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shard_group = hsdp_mesh["Shard"].get_group()
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shard_group = hsdp_mesh["shard"].get_group()
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tp_group = tp_mesh.get_group()
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