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# torch.masked_select

torch.masked_select(input, mask, *, out=None) → Tensor

  Returns a new 1-D tensor which indexes the `input` tensor according to the boolean mask `mask` which is a BoolTensor.

  The shapes of the `mask` tensor and the `input` tensor don’t need to match, but they must be broadcastable.

  Note

  The returned tensor does not use the same storage as the original tensor

  Parameters:

    - input (Tensor) – the input tensor.

    - mask (BoolTensor) – the tensor containing the binary mask to index with

  Keyword Arguments:

    out (Tensor, optional) – the output tensor.

  Example:

      >>> x = torch.randn(3, 4)
      >>> x
      tensor([[ 0.3552, -2.3825, -0.8297,  0.3477],
              [-1.2035,  1.2252,  0.5002,  0.6248],
              [ 0.1307, -2.0608,  0.1244,  2.0139]])
      >>> mask = x.ge(0.5)
      >>> mask
      tensor([[False, False, False, False],
              [False, True, True, True],
              [False, False, False, True]])
      >>> torch.masked_select(x, mask)
      tensor([ 1.2252,  0.5002,  0.6248,  2.0139])

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