Understanding At Least 2D Tensors In PyTorch
atleast_2d() in PyTorch: Converts 0D or 1D tensors to 2D tensors. Returns a tuple of tensors if multiple inputs, otherwise returns a single tensor.
Buy Me a Coffee☕ *Memos: My post explains atleast_1d(). My post explains atleast_3d(). atleast_2d() can get the view of the one or more 2D or more D tensors of zero or more elements by only changing one or more 0D or 1D tensors to one or more 2D tensors from the one or more 0D or more D tensors of zero or more elements as shown below: *Memos: atleast_2d() can be used with torch but not with a tensor. The 1st or more arguments with torch are *tensors(Required-Type:tensor of int, float, complex or bool or tuple or list of tensor of int, float, complex or bool): *Memos: If setting more than...