class_docstr: Test cases for binary operators.
code: def testPad(self):
      for dtype, pad_type in itertools.product(
          self.numeric_types, [np.int32, np.int64]
      ):
          self._testBinary(
              array_ops.pad,
              np.array([[1, 2, 3], [4, 5, 6]], dtype=dtype),
              np.array([[1, 2], [2, 1]], dtype=pad_type),
              expected=np.array(
                  [
                      [0, 0, 0, 0, 0, 0],
                      [0, 0, 1, 2, 3, 0],
                      [0, 0, 4, 5, 6, 0],
                      [0, 0, 0, 0, 0, 0],
                      [0, 0, 0, 0, 0, 0],
                  ],
                  dtype=dtype,
              ),
          )
  
          self._testBinary(
              lambda x, y: array_ops.pad(x, y, constant_values=7),
              np.array([[1, 2, 3], [4, 5, 6]], dtype=dtype),
              np.array([[0, 3], [2, 1]], dtype=pad_type),
              expected=np.array(
                  [
                      [7, 7, 1, 2, 3, 7],
                      [7, 7, 4, 5, 6, 7],
                      [7, 7, 7, 7, 7, 7],
                      [7, 7, 7, 7, 7, 7],
                      [7, 7, 7, 7, 7, 7],
                  ],
                  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 31 for calling the BinaryOpsTest obj's underlying member method code with example usage: obj.testPad() without return types