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# torch.result_type

torch.result_type(tensor1, tensor2) → dtype

  Returns the `torch.dtype` that would result from performing an arithmetic operation on the provided input tensors. See type promotion documentation for more information on the type promotion logic.

  Parameters:

    - tensor1 (Tensor or Number) – an input tensor or number

    - tensor2 (Tensor or Number) – an input tensor or number

  Example:

      >>> torch.result_type(torch.tensor([1, 2], dtype=torch.int), 1.0)
      torch.float32
      >>> torch.result_type(torch.tensor([1, 2], dtype=torch.uint8), torch.tensor(1))
      torch.uint8

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