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This will be especially useful for speeding up inference for both semantic parsing and paraphrase generation. Also, training with mixed precision -if experiments show that it does not degrade accuracy- can help speed up our pipeline.
The text was updated successfully, but these errors were encountered:
Pytorch 1.7 added support for mixed precision training and evaluation (https://pytorch.org/docs/stable/amp.html?highlight=amp#module-torch.cuda.amp).
This will be especially useful for speeding up inference for both semantic parsing and paraphrase generation. Also, training with mixed precision -if experiments show that it does not degrade accuracy- can help speed up our pipeline.
The text was updated successfully, but these errors were encountered: