class_docstr: Test cases for binary operators.
code: def testSymmetricMirrorPadGrad(self):
      mirror_pad_grad = (
          lambda t, paddings: gen_array_ops.mirror_pad_grad(
              t, paddings, "SYMMETRIC"
          )
      )
      for dtype in self.numeric_types:
          self._testBinary(
              mirror_pad_grad,
              np.broadcast_to(
                  np.arange(0, 7, dtype=dtype), (3, 2, 1, 7)
              ),
              np.array(
                  [
                      [1, 1],
                      [0, 0],
                      [0, 0],
                      [2, 2],
                  ],
                  dtype=np.int32,
              ),
              expected=np.broadcast_to(
                  np.array([9, 27, 27], dtype=dtype), (1, 2, 1, 3)
              ),
          )
  
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 34 for calling the BinaryOpsTest obj's underlying member method code with example usage: obj.testSymmetricMirrorPadGrad() without return types