code: def testPadOp(self):
      instrument = _NumpyFunctionCallback()
  
      op_callbacks.add_op_callback(instrument.callback)
  
      @def_function.function
      def my_pad(x, padding):
          return array_ops.pad(x, padding)
  
      x = constant_op.constant([[1, 2], [3, 4]], dtype=dtypes.float32)
      paddings = [[1, 1], [2, 2]]
  
      y = my_pad(x, paddings)
      expected_output = np.array(
          [
              [0, 0, 0, 0, 0, 0],
              [0, 0, 1, 2, 0, 0],
              [0, 0, 3, 4, 0, 0],
              [0, 0, 0, 0, 0, 0],
          ],
          dtype=np.float32,
      )
      self.assertAllClose(y, expected_output)
      self.assertAllClose(
          instrument.graph_internal_ndarrays[b"Pad"][0], expected_output
      )
  
imports: import threading
  import numpy
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import op_callbacks
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.util import compat
label_desc: Use image node_id 9 for calling the OpCallbacksTest obj's underlying member method code with example usage: obj.testPadOp() and returns: array_ops