class_docstr: Test cases for binary operators.
code: def testConjugateTranspose(self):
      for dtype in self.complex_types:
          self._testBinary(
              array_ops.conjugate_transpose,
              np.zeros(shape=[1, 0, 4], dtype=dtype),
              np.array([1, 2, 0], dtype=np.int32),
              expected=np.zeros(shape=[0, 4, 1], dtype=dtype),
          )
          self._testBinary(
              array_ops.conjugate_transpose,
              np.array(
                  [[1 - 1j, 2 + 2j], [3 - 3j, 4 + 4j]], dtype=dtype
              ),
              np.array([0, 1], dtype=np.int32),
              expected=np.array(
                  [[1 + 1j, 2 - 2j], [3 + 3j, 4 - 4j]], dtype=dtype
              ),
          )
          self._testBinary(
              array_ops.conjugate_transpose,
              np.array(
                  [[1 - 1j, 2 + 2j], [3 - 3j, 4 + 4j]], dtype=dtype
              ),
              np.array([1, 0], dtype=np.int32),
              expected=np.array(
                  [[1 + 1j, 3 + 3j], [2 - 2j, 4 - 4j]], dtype=dtype
              ),
          )
  
imports: import itertools
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import bitwise_ops
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import googletest
  from tensorflow.python.platform import test
label_desc: Use image node_id 40 for calling the BinaryOpsTest obj's underlying member method code with example usage: obj.testConjugateTranspose() without return types