class_docstr: Test cases for binary operators.
code: def testReflectMirrorPadGrad(self):
      mirror_pad_grad = (
          lambda t, paddings: gen_array_ops.mirror_pad_grad(
              t, paddings, "REFLECT"
          )
      )
      for dtype in self.numeric_types:
          self._testBinary(
              mirror_pad_grad,
              np.broadcast_to(
                  np.reshape(np.arange(0, 7, dtype=dtype), (7, 1)),
                  (1, 4, 7, 1),
              ),
              np.array(
                  [
                      [0, 0],
                      [1, 1],
                      [2, 2],
                      [0, 0],
                  ],
                  dtype=np.int32,
              ),
              expected=np.broadcast_to(
                  np.reshape(
                      np.array([16, 18, 8], dtype=dtype), (3, 1)
                  ),
                  (1, 2, 3, 1),
              ),
          )
  
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 35 for calling the BinaryOpsTest obj's underlying member method code with example usage: obj.testReflectMirrorPadGrad() without return types