keepdim=True when calling torch.max() and torch.take_along_dim() should do the trick. >>> import torch >>> a=torch.rand(2,3,4) ... ... <看更多>
Search
Search
keepdim=True when calling torch.max() and torch.take_along_dim() should do the trick. >>> import torch >>> a=torch.rand(2,3,4) ... ... <看更多>
torch.rand(10, dtype=torch.float16).max() Traceback (most recent call last): File "<stdin>", line 1, in <module> RuntimeError: "max_all" not ... ... <看更多>
... <看更多>
... <看更多>
8. torch.max(input). 说明： 返回输入张量所有元素的最大值. 参数：. input(Tensor) —- 输入张 ... ... <看更多>