class_docstr: Test cases for binary operators.
code: def testTranspose(self):
      for dtype in self.numeric_types:
          self._testBinary(
              array_ops.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.transpose,
              np.array([[1, 2], [3, 4]], dtype=dtype),
              np.array([0, 1], dtype=np.int32),
              expected=np.array([[1, 2], [3, 4]], dtype=dtype),
          )
          self._testBinary(
              array_ops.transpose,
              np.array([[1, 2], [3, 4]], dtype=dtype),
              np.array([1, 0], dtype=np.int32),
              expected=np.array([[1, 3], [2, 4]], 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 39 for calling the BinaryOpsTest obj's underlying member method code with example usage: obj.testTranspose() without return types