OFA-OCR / fairseq /docs /criterions.rst
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.. role:: hidden
:class: hidden-section
.. _Criterions:
Criterions
==========
Criterions compute the loss function given the model and batch, roughly::
loss = criterion(model, batch)
.. automodule:: fairseq.criterions
:members:
.. autoclass:: fairseq.criterions.FairseqCriterion
:members:
:undoc-members:
.. autoclass:: fairseq.criterions.adaptive_loss.AdaptiveLoss
:members:
:undoc-members:
.. autoclass:: fairseq.criterions.composite_loss.CompositeLoss
:members:
:undoc-members:
.. autoclass:: fairseq.criterions.cross_entropy.CrossEntropyCriterion
:members:
:undoc-members:
.. autoclass:: fairseq.criterions.label_smoothed_cross_entropy.LabelSmoothedCrossEntropyCriterion
:members:
:undoc-members: