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# torch.linalg.lu_factor_ex

torch.linalg.lu_factor_ex(A, *, pivot=True, check_errors=False, out=None)

  This is a version of `lu_factor()` that does not perform error checks unless `check_errors`= True. It also returns the `info` tensor returned by LAPACK’s getrf.

  Note

  When the inputs are on a CUDA device, this function synchronizes only when `check_errors`= True.

  Warning

  This function is “experimental” and it may change in a future PyTorch release.

  Parameters:

    A (Tensor) – tensor of shape (*, m, n) where * is zero or more batch dimensions.

  Keyword Arguments:

    - pivot (bool, optional) – Whether to compute the LU decomposition with partial pivoting, or the regular LU decomposition. `pivot`= False not supported on CPU. Default: True.

    - check_errors (bool, optional) – controls whether to check the content of `infos` and raise an error if it is non-zero. Default: False.

    - out (tuple, optional) – tuple of three tensors to write the output to. Ignored if None. Default: None.

  Returns:

    A named tuple (LU, pivots, info).

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