rdrop

class RDropLoss(reduction='none')

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: dropreg/R-Drop

参数:

reduction (str, optional) -- 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'.

forward(p, q, pad_mask=None)

参数:

• p (Tensor) -- the first forward logits of training examples.

• q (Tensor) -- the second forward logits of training examples.

• pad_mask (Tensor, optional) -- The Tensor containing the binary mask to index with, it's data type is bool.

返回:

Returns tensor loss, the rdrop loss of p and q.

返回类型:

Tensor