Understanding Atleast_1d() In PyTorch For Efficient Tensor Management
atleast_1d() in PyTorch: Ensures 1D or higher dimensionality for tensors. Returns a tensor or tuple of tensors with at least 1D structure, depending on input arguments.
Buy Me a Coffee☕ *Memos: My post explains atleast_2d(). My post explains atleast_3d(). atleast_1d() can get the view of the one or more 1D or more D tensors of zero or more elements by only changing one or more 0D tensors to one or more 1D tensors from the one or more 0D or more D tensors of zero or more elements as shown below: *Memos: atleast_1d() 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 one te...