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# torch.slice_scatter

torch.slice_scatter(input, src, dim=0, start=None, end=None, step=1) → Tensor

  Embeds the values of the `src` tensor into `input` at the given dimension. This function returns a tensor with fresh storage; it does not create a view.

  Parameters:

    - input (Tensor) – the input tensor.

    - src (Tensor) – The tensor to embed into `input`

    - dim (int) – the dimension to insert the slice into

    - start (Optional[int]) – the start index of where to insert the slice

    - end (Optional[int]) – the end index of where to insert the slice

    - step (int) – the how many elements to skip in

  Example:

      >>> a = torch.zeros(8, 8)
      >>> b = torch.ones(2, 8)
      >>> a.slice_scatter(b, start=6)
      tensor([[0., 0., 0., 0., 0., 0., 0., 0.],
              [0., 0., 0., 0., 0., 0., 0., 0.],
              [0., 0., 0., 0., 0., 0., 0., 0.],
              [0., 0., 0., 0., 0., 0., 0., 0.],
              [0., 0., 0., 0., 0., 0., 0., 0.],
              [0., 0., 0., 0., 0., 0., 0., 0.],
              [1., 1., 1., 1., 1., 1., 1., 1.],
              [1., 1., 1., 1., 1., 1., 1., 1.]])

      >>> b = torch.ones(8, 2)
      >>> a.slice_scatter(b, dim=1, start=2, end=6, step=2)
      tensor([[0., 0., 1., 0., 1., 0., 0., 0.],
              [0., 0., 1., 0., 1., 0., 0., 0.],
              [0., 0., 1., 0., 1., 0., 0., 0.],
              [0., 0., 1., 0., 1., 0., 0., 0.],
              [0., 0., 1., 0., 1., 0., 0., 0.],
              [0., 0., 1., 0., 1., 0., 0., 0.],
              [0., 0., 1., 0., 1., 0., 0., 0.],
              [0., 0., 1., 0., 1., 0., 0., 0.]])

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