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Super Kai (Kazuya Ito) @superkai_kazuya

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.

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*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...