max over multiple dimensions · python multidimensional-array max pytorch tensor. Have tensor like : x.shape = [3, 2, 2] ... ... <看更多>

Tensor.max()/min() over multiple axes #28213 ... dimensions, I could use torch.nn.functional.adaptive_max_pool2d with an output size of 1. ... <看更多>

If tol is not specified, tol is set to S.max(dim=-1) ... If dim is None, matrix norm will be calculated when the input tensor has two dimensions, ... ... <看更多>

torch for general PyTorch functionality; torch.nn and torch.nn.functional for ... We flatten our input, as MLPs cannot handle two or three-dimensional data. ... <看更多>

For that, you should repeat b 200 times in the appropriate dimension this way: c = torch.cat([a, torch.unsqueeze(b, 1).repeat(1, 200, 1)], ... ... <看更多>