output = torch.masked_fill(input, mask, value) output = input.masked_fill(mask, value) imgs_masked= torch.masked_fill(input=imgs, mask=~mask, value=0)#这里mask取反:true表示被“遮住的”"""tensor([[[182., 0., 0.], [ 0., 92., 0.], [ 0., 0., 86.]], [[157., 0., ...
pytorch masked_fill方法理解 mask必须是一个 ByteTensor 而且shape的最大维度必须和 a一样 并且元素只能是 0或者1 , 是将mask中为1的 元素所在的索引,在a中相同的的索引处替换为 value importtorcha=torch.tensor([[[5,5,5,5],[6,6,6,6],[7,7,7,7]],[[1,1,1,1],[2,2,2,2],[3,3,3,...
一、函数 1.1 masked_fill pytorch masked_fill 输入数据的维度为【batch_size,seq_len,embedding_size】mask和输入数据是相同的数据维度,但mask的整型数据,并且要不是0,要不是1,masked_fill会对数据数据对应的mask,如果是1则替换成设定值,0则不变 # -*-coding:utf-8-*-importtorchorigin=torch.nn.init.xavi...
tensor([0.0000, 0.0000, 0.2689, 0.7311])容易报错：Expected object of scalar type Byte but got scalar type Long for argument #2 'mask'原因，mask = torch.LongTensor()解决⽅法：mask = torch.ByteTensor()在mask值为1的位置处⽤value填充。mask的元素个数需和本tensor相同，但尺⼨可以不同...
Issue description masked_fill_ produces an output different from its out-of-place counterpart on cpu. To Reproduce masked_fill_ on cpu: tensor_cpu = torch.LongTensor([[0], [1]]).expand(2, 4) mask_cpu = torch.BoolTensor( [[False, True, Fa...
mask = dist.ge(0) grad_input1.masked_fill_(mask,1) grad_input1 = grad_input1.mul_(-1) * y grad_input2.masked_fill_(mask,1) * y grad_input2 = grad_input2 * yifctx.size_average: grad_input1.div_(y.size(0)) grad_input2.div_(y.size(0))returngrad_input1 * grad_output...
1 torch.Tensor.masked_fill_(mask, value) Fills elements of self tensor with value where mask is True.The shape of mask must be broadcastable with the shape of the underlying tensor. Parameters mask (BoolTensor)– the boolean mask value (float)– the value to fill in with...
我用了一个数学计算方法来代替.它是有效的，而且快得多.
inf_diagonal_mask# shape (batch_size, sequence_length, sequence_length, num_tags)arc_tag_logits = arc_tag_logits + inf_diagonal_mask.unsqueeze(0).unsqueeze(-1)# Mask padded tokens, because we only want to consider actual word -> word edges.minus_mask = (1- mask).byte().unsqueeze(2...
masked_fill_ returns an incorrect result on MPS where as masked_fill does not. See discussion here pytorch/pytorch#131285