Understanding PyTorch's Expand() Function For Tensors
expand() in PyTorch: Expand a tensor to the specified size. Can be used with tensors of different data types (int, float, complex, bool). Example usage: `my_tensor.expand((4, 2, 3))
Buy Me a Coffee☕ *Memos: My post explains tile(). My post explains repeat(). My post explains repeat_interleave(). expand() can get the 0D or more D view tensor of zero or more expanded elements from the 0D or more D tensor of zero or more elements as shown below: *Memos: expand() can be used with a tensor but not with torch. Using a tensor(Required-Type:tensor of int, float, complex or bool). The 1st or more arguments with a tensor are size(Required-Type:int, tuple of int, list of int or size()): *Memos: Its D must be more than or equal to the tensor's D If at least one dimension is 0,...