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Fix torchrec tutorial spacing (#3073)
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intermediate_source/torchrec_intro_tutorial.py

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@@ -919,6 +919,7 @@ def _wait_impl(self) -> torch.Tensor:
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# the trained model in a Python environment is incredibly inefficient.
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# There are two key differences between inference and training
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# environments:
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#
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# * **Quantization**: Inference models are typically
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# quantized, where model parameters lose precision for lower latency in
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# predictions and reduced model size. For example FP32 (4 bytes) in

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