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# torch.select

torch.select(input, dim, index) → Tensor

  Slices the `input` tensor along the selected dimension at the given index. This function returns a view of the original tensor with the given dimension removed.

  Note

  If `input` is a sparse tensor and returning a view of the tensor is not possible, a RuntimeError exception is raised. In this is the case, consider using `torch.select_copy()` function.

  Parameters:

    - input (Tensor) – the input tensor.

    - dim (int) – the dimension to slice

    - index (int) – the index to select with

  Note

  `select()` is equivalent to slicing. For example, `tensor.select(0, index)` is equivalent to `tensor[index]` and `tensor.select(2, index)` is equivalent to `tensor[:,:,index]`.

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