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# PyTorch torch.repeat_interleave Function * * Pytorch torch Reference Manual](#) `torch.repeat_interleave` is a function in PyTorch used to repeat elements along a specified dimension. ### Function Definition torch.repeat_interleave(input, repeats, dim=None, *, output_size=None) * * * ## Usage Examples ## Example import torch # No dim specified, repeat along all elements x = torch.tensor([1,2,3]) result = torch.repeat_interleave(x,2) print("Each element repeated 2 times:") print(result) # Repeat along dim=0 y = torch.tensor([[1,2],[3,4]]) print("nOriginal tensor:") print(y) result = torch.repeat_interleave(y,2, dim=0) print("Repeat along dim=0 2 times:") print(result) # Different repeat counts for each element result = torch.repeat_interleave(y, torch.tensor([1,2]), dim=0) print("nDifferent repeat counts along dim=0 [1, 2]:") print(result) # Repeat along dim=1 result = torch.repeat_interleave(y,3, dim=1) print("nRepeat along dim=1 3 times:") print(result) # Return output_size result = torch.repeat_interleave(x,2, output_size=9) print("nSpecified output_size=9:") print(result) Output: Each element repeated 2 times: tensor([1, 1, 2, 2, 3, 3])Original tensor: tensor([[1, 2], [3, 4]])Repeat along dim=0 2 times: tensor([[1, 2], [1, 2], [3, 4], [3, 4]])Different repeat counts along dim=0 [1, 2]: tensor([[1, 2], [3, 4], [3, 4]])Repeat along dim=1 3 times: tensor([[1, 1, 1, 2, 2, 2], [3, 3, 3, 4, 4, 4]])Specified output_size=9: tensor([1, 1, 2, 2, 3, 3, 1, 2, 3]) * * Pytorch torch Reference Manual](#)