本文整理匯總了Python中torch.LongTensor.detach方法的典型用法代碼示例。如果您正苦於以下問題：Python LongTensor.detach方法的具體用法？Python LongTensor.detach怎麽用？Python LongTensor.detach使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類torch.LongTensor的用法示例。
在下文中一共展示了LongTensor.detach方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: _get_mask_for_eval
# 需要導入模塊: from torch import LongTensor [as 別名]
# 或者: from torch.LongTensor import detach [as 別名]
def _get_mask_for_eval(self,
mask: torch.LongTensor,
pos_tags: torch.LongTensor) -> torch.LongTensor:
"""
Dependency evaluation excludes words are punctuation.
Here, we create a new mask to exclude word indices which
have a "punctuation-like" part of speech tag.
Parameters
----------
mask : ``torch.LongTensor``, required.
The original mask.
pos_tags : ``torch.LongTensor``, required.
The pos tags for the sequence.
Returns
-------
A new mask, where any indices equal to labels
we should be ignoring are masked.
"""
new_mask = mask.detach()
for label in self._pos_to_ignore:
label_mask = pos_tags.eq(label).long()
new_mask = new_mask * (1 - label_mask)
return new_mask