tensor_1.expand_as(tensor_2) :把tensor_1扩展成和tensor_2一样的形状 TORCH.ONES_LIKE torch.ones_like(input,*,dtype=None,layout=None,device=None,requires_grad=False,memory_format=torch.preserve_format) →Tensor Returns a tensor filled with the scalar value1, with the same size asinput.torch...
dataset = torch.rand(size=(2, 3, 4), device='cuda:0') pi = torch.arange(0, 3).unsqueeze(0).repeat(2, 1) sequence = pi.unsqueeze(-1).expand_as(dataset) print(pi) print(sequence) 运行结果如下: tensor([[0, 1, 2], [0, 1, 2]]) tensor([[[0, 0, 0, 0], [1, 1, ...
torch.Size([3,1]) >>> a.expand(3,2) tensor([[2, 2], [3, 3], [4, 4]]) >>> a tensor([[2], [3], [4]]) 可以看出expand()函数括号里面为变形后的size大小,而且原来的tensor和tensor.expand()是不共享内存的。 tensor.expand_as()函数 >>> b=torch.tensor([[2,2],[3,3],[5...
tensor.expend()函数 >>> import torch >>> a=torch.tensor([[2],[3],[4]]) >>> print(a.size()) torch.Size([3, 1]) >>> a.expand(3,2) tensor([[2, 2], [3, 3], [4, 4]]) >>> a tensor([[2], [3], [4]]) 可以看出expand()函数括号里面为变形后的size大小,而且原来...
torch.clamp()函数 参考博客:https://blog.csdn.net/weixin_39504171/article/details/106069230 torch哈达玛积和普通乘积https://zhuanlan.zhihu.com/p/537877779 torch.mean()https://blog.csdn.net/qq_37320017/article/details/124941528 torch.sum()https://blog.csdn.net/qq_37803694/article/details/127399922...
🐛 Describe the bug def test_expand_with_broadcast(self): device_mesh = self.build_device_mesh() tensor = torch.randn((4,)) matrix = torch.randn((2, 3, 4)) dtensor = distribute_tensor(tensor, device_mesh, [Replicate()]) dmatrix = distribu...
Our inspiration comes from several research papers on this topic, as well as current and past work such as torch-autograd, autograd, Chainer, etc.While this technique is not unique to PyTorch, it's one of the fastest implementations of it to date. You get the best of speed and ...
# 需要导入模块: from torch.autograd import Variable [as 别名]# 或者: from torch.autograd.Variable importexpand_as[as 别名]defforward(self, x, dropout=0.5):ifnotself.trainingornotdropout:returnx m = x.data.new(1 , x.size(1) , x.size(2)).bernoulli_(1- dropout) ...
函数定义 Tensor.expand_as(other) → Tensor Expand this tensor to the same size as other. self.expand_as(other) is equivalent to self.expand(other.size()). Please see expand() for more information about expand. 参数 other (torch.Tensor)– The result tensor has the same size as other....
torch.cat((scores[ids[:count]].unsqueeze(1), boxes[ids[:count]]),1) flt = output.contiguous().view(num, -1,5) _, idx = flt[:, :,0].sort(1, descending=True) _, rank = idx.sort(1) flt[(rank < self.top_k).unsqueeze(-1).expand_as(flt)].fill_(0)returnoutput ...