Understanding Torch Squeeze() In PyTorch
squeeze() removes 1D dimensions from tensors. Use torch.squeeze() or tensor.squeeze(). Specify dim to remove specific dimensions. Examples: `torch.squeeze(input=my_tensor)` and `my_tensor.squeeze(dim=(0, 3))`.
Buy Me a Coffee☕ *My post explains unsqueeze(). squeeze() can get the 0D or more D tensor of the zero or more elements whose zero or more dimensions are removed if the size is 1 from the 0D or more D tensor of zero or more elements as shown below: *Memos: squeeze() can be used with torch or a tensor. The 1st argument(input) with torch or using a tensor(Required-Type:tensor of int, float, complex or bool). The 2nd argument with torch or the 1st or more arguments with a tensor are dim(Optional-Type:int, tuple of int or list of int): *Memos: Each number must be unique. It can remove the speci...