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Address tutorial comments5
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intermediate_source/torchrec_interactive_tutorial.py

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@@ -837,7 +837,7 @@ def _wait_impl(self) -> torch.Tensor:
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# depending on your preferences:
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# 1. Passing optimizer kwargs through ``fused_params`` in sharder
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# 2. Through ``apply_optimizer_in_backward``, which converts the optimizer
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# parameters to ``fused_params`` to pass to the `TBE`` in the ``EmbeddingBagCollection`` or ``EmbeddingCollection``.
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# parameters to ``fused_params`` to pass to the ``TBE`` in the ``EmbeddingBagCollection`` or ``EmbeddingCollection``.
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#
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# Approach 1: passing optimizer kwargs through fused parameters

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