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Summary: Pull Request resolved: https://github.com/pytorch/translate/pull/283 Pull Request resolved: https://github.com/pytorch/fairseq/pull/428 Differential Revision: D13564190 Pulled By: myleott fbshipit-source-id: 3b62282d7069c288f5bdd1dd2c120788cee4abb5
32 lines
758 B
ReStructuredText
32 lines
758 B
ReStructuredText
.. role:: hidden
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:class: hidden-section
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.. _Criterions:
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Criterions
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==========
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Criterions compute the loss function given the model and batch, roughly::
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loss = criterion(model, batch)
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.. automodule:: fairseq.criterions
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:members:
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.. autoclass:: fairseq.criterions.FairseqCriterion
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:members:
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:undoc-members:
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.. autoclass:: fairseq.criterions.adaptive_loss.AdaptiveLoss
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:members:
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:undoc-members:
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.. autoclass:: fairseq.criterions.composite_loss.CompositeLoss
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:members:
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:undoc-members:
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.. autoclass:: fairseq.criterions.cross_entropy.CrossEntropyCriterion
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:members:
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:undoc-members:
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.. autoclass:: fairseq.criterions.label_smoothed_cross_entropy.LabelSmoothedCrossEntropyCriterion
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:members:
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:undoc-members:
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