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[doc] remove the implied defaults to :obj:None, s/True/ :obj:`True/, etc. (#6956)

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* remove the implied defaults to :obj:`None`

* fix bug in the original

* replace to :obj:`True`, :obj:`False`
This commit is contained in:
Stas Bekman
2020-09-04 15:22:25 -07:00
committed by GitHub
parent eff274d629
commit 48ff6d5109
71 changed files with 578 additions and 578 deletions
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2
examples/bert-loses-patience/pabee/modeling_pabee_albert.py
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@@ -242,7 +242,7 @@ class AlbertForSequenceClassificationWithPabee(AlbertPreTrainedModel):
labels=None,
):
r"""
labels (:obj:`torch.LongTensor` of shape :obj:`(batch_size,)`, `optional`, defaults to :obj:`None`):
labels (:obj:`torch.LongTensor` of shape :obj:`(batch_size,)`, `optional`):
Labels for computing the sequence classification/regression loss.
Indices should be in ``[0, ..., config.num_labels - 1]``.
If ``config.num_labels == 1`` a regression loss is computed (Mean-Square loss),

2
examples/bert-loses-patience/pabee/modeling_pabee_bert.py
View File

@@ -266,7 +266,7 @@ class BertForSequenceClassificationWithPabee(BertPreTrainedModel):
labels=None,
):
r"""
labels (:obj:`torch.LongTensor` of shape :obj:`(batch_size,)`, `optional`, defaults to :obj:`None`):
labels (:obj:`torch.LongTensor` of shape :obj:`(batch_size,)`, `optional`):
Labels for computing the sequence classification/regression loss.
Indices should be in :obj:`[0, ..., config.num_labels - 1]`.
If :obj:`config.num_labels == 1` a regression loss is computed (Mean-Square loss),