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# torch.linalg.det

torch.linalg.det(A, *, out=None) → Tensor

  Computes the determinant of a square matrix.

  Supports input of float, double, cfloat and cdouble dtypes. Also supports batches of matrices, and if `A` is a batch of matrices then the output has the same batch dimensions.

  See also

  `torch.linalg.slogdet()` computes the sign and natural logarithm of the absolute value of the determinant of square matrices.

  Parameters:

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

  Keyword Arguments:

    out (Tensor, optional) – output tensor. Ignored if None. Default: None.

  Examples:

      >>> A = torch.randn(3, 3)
      >>> torch.linalg.det(A)
      tensor(0.0934)

      >>> A = torch.randn(3, 2, 2)
      >>> torch.linalg.det(A)
      tensor([1.1990, 0.4099, 0.7386])

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