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Update tutorial of saving_loading_models.py #1173

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Oct 2, 2020
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Update tutorial of saving_loading_models.py #1173

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3 changes: 2 additions & 1 deletion beginner_source/saving_loading_models.py
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Expand Up @@ -262,7 +262,8 @@
# as this contains buffers and parameters that are updated as the model
# trains. Other items that you may want to save are the epoch you left off
# on, the latest recorded training loss, external ``torch.nn.Embedding``
# layers, etc.
# layers, etc. As a result, such a checkpoint is often 2~3 times larger
# than the model alone.
#
# To save multiple components, organize them in a dictionary and use
# ``torch.save()`` to serialize the dictionary. A common PyTorch
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