Pytorch reshape tensor dimension
Use torch.unsqueeze(input, dim, out=None) >>> a = a.unsqueeze(0) >>> a 1 2 3 4 5 [torch.FloatTensor of size 1×5]
Use torch.unsqueeze(input, dim, out=None) >>> a = a.unsqueeze(0) >>> a 1 2 3 4 5 [torch.FloatTensor of size 1×5]
The view function is meant to reshape the tensor. Say you have a tensor a is a tensor that has 16 elements from 1 to 16(included). If you want to reshape this tensor to make it a 4 x 4 tensor then you can use Now a will be a 4 x 4 tensor. Note that after the reshape the total number of … Read more
Stacking requires same number of dimensions. One way would be to unsqueeze and stack. For example: