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Replace 'pytorch-labs' with 'meta-pytorch' in 4 files
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unstable_source/gpu_quantization_torchao_tutorial.py

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In this tutorial, we will walk you through the quantization and optimization
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of the popular `segment anything model <https://github.com/facebookresearch/segment-anything>`_. These
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steps will mimic some of those taken to develop the
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`segment-anything-fast <https://github.com/pytorch-labs/segment-anything-fast/blob/main/segment_anything_fast/modeling/image_encoder.py#L15>`_
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`segment-anything-fast <https://github.com/meta-pytorch/segment-anything-fast/blob/main/segment_anything_fast/modeling/image_encoder.py#L15>`_
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repo. This step-by-step guide demonstrates how you can
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apply these techniques to speed up your own models, especially those
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that use transformers. To that end, we will focus on widely applicable

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