Method AdjustedNorm

tensorflow/compiler/tests/qr_op_test.py:35–38

Computes the norm of matrices in 'x', adjusted for dimension and type.

(self, x)

class QrOpTest(xla_test.XLATestCase, parameterized.TestCase):

  def AdjustedNorm(self, x):
    """Computes the norm of matrices in 'x', adjusted for dimension and type."""
    norm = np.linalg.norm(x, axis=(-2, -1))
    return norm / (max(x.shape[-2:]) * np.finfo(x.dtype).eps)

  def CompareOrthogonal(self, x, y, rank):
    # We only compare the first 'rank' orthogonal vectors since the