code: def _VerifyTriangularSolveBase(
      self,
      sess,
      placeholder_a,
      placeholder_ca,
      placeholder_b,
      a,
      clean_a,
      b,
      verification,
      atol,
  ):
      feed_dict = {
          placeholder_a: a,
          placeholder_ca: clean_a,
          placeholder_b: b,
      }
      verification_np = sess.run(verification, feed_dict)
      broadcasted_shape = a.shape[:-2] + (b.shape[-2], b.shape[-1])
      broadcasted_b = b + np.zeros(
          shape=broadcasted_shape, dtype=b.dtype
      )
      self.assertAllClose(broadcasted_b, verification_np, atol=atol)
  
imports: import itertools
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the MatrixTriangularSolveOpTest obj's underlying member method code with example usage: obj._VerifyTriangularSolveBase(sess, placeholder_a, placeholder_ca, placeholder_b, a, clean_a, b, verification, atol) without return types