Understanding Repeat() In PyTorch For Efficient Tensor Replication
repeat() in PyTorch: Repeat elements of a tensor by specified repeats. Supports 0D or more D tensors and various data types.
Buy Me a Coffee☕ *Memos: My post explains tile(). My post explains expand(). My post explains repeat_interleave(). repeat() can get the 0D or more D tensor of zero or more repeated elements from the 0D or more D tensor of zero or more elements as shown below: *Memos: repeat() 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 repeats(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, a...