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Update advanced_source/python_extension_autoload.rst
Co-authored-by: Svetlana Karslioglu <[email protected]>
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advanced_source/python_extension_autoload.rst

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@@ -62,8 +62,8 @@ In some cases, you might encounter issues with circular imports. The examples be
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Examples
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Here we take Intel Gaudi HPU and Huawei Ascend NPU as examples to determine how to
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integrate your out-of-tree extension with PyTorch using the autoloading mechanism.
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In this example, we will be using Intel Gaudi HPU and Huawei Ascend NPU to determine how to
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integrate your out-of-tree extension with PyTorch using the autoloading feature.
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`habana_frameworks.torch`_ is a Python package that enables users to run
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PyTorch programs on Intel Gaudi by using the PyTorch ``HPU`` device key.

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