docstr: Computes the norm of matrices in 'x', adjusted for dimension and type.
docstr_tok: ["Computes","the","norm","of","matrices","in","'","x","'",",","adjusted","for","dimension","and","type","."]
code: 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)
  
imports: import itertools
  import unittest
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the QrOpTest obj's underlying member method code with example usage: obj.AdjustedNorm(x) and returns: unknown