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# This file is distributed under the same license as the PaddleNLP package.
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#: ../source/paddlenlp.losses.rdrop.rst:2
msgid "rdrop"
msgstr ""

#: of paddlenlp.losses.rdrop.RDropLoss:1
msgid ""
"R-Drop Loss implementation For more information about R-drop please refer"
" to this paper: https://arxiv.org/abs/2106.14448 Original implementation "
"please refer to this code: https://github.com/dropreg/R-Drop"
msgstr ""

#: of paddlenlp.losses.rdrop.RDropLoss paddlenlp.losses.rdrop.RDropLoss.forward
msgid "参数"
msgstr ""

#: of paddlenlp.losses.rdrop.RDropLoss:5
msgid ""
"Indicate how to average the loss, the candicates are "
"``'none'``,``'batchmean'``,``'mean'``,``'sum'``. If `reduction` is "
"``'mean'``, the reduced mean loss is returned; If `reduction` is "
"``'batchmean'``, the sum loss divided by batch size is returned; If "
"`reduction` is ``'sum'``, the reduced sum loss is returned; If "
"`reduction` is ``'none'``, no reduction will be applied. Defaults to "
"``'none'``."
msgstr ""

#: of paddlenlp.losses.rdrop.RDropLoss.forward:1
msgid "the first forward logits of training examples."
msgstr ""

#: of paddlenlp.losses.rdrop.RDropLoss.forward:3
msgid "the second forward logits of training examples."
msgstr ""

#: of paddlenlp.losses.rdrop.RDropLoss.forward:5
msgid ""
"The Tensor containing the binary mask to index with, it's data type is "
"bool."
msgstr ""

#: of paddlenlp.losses.rdrop.RDropLoss.forward
msgid "返回"
msgstr ""

#: of paddlenlp.losses.rdrop.RDropLoss.forward:8
msgid "Returns tensor `loss`, the rdrop loss of p and q."
msgstr ""

#: of paddlenlp.losses.rdrop.RDropLoss.forward
msgid "返回类型"
msgstr ""