code: def test_mirror_pad(self, mode):
      input_ = tf.constant([[1, 2, 3], [4, 5, 6]], dtype=tf.float32)
      paddings = tf.constant(
          [
              [
                  1,
                  1,
              ],
              [2, 2],
          ]
      )
      kwargs = {
          "input": input_,
          "paddings": paddings,
          "mode": mode,
      }
      kwargs_ = {
          "input_": input_,
          "paddings": paddings,
          "mode": mode,
      }
      # Make sure the composition python function is correct
      self._assertOpAndComposite(
          [input_],
          tf.raw_ops.MirrorPad,
          ops_defs._composite_mirror_pad,
          kwargs_,
          kwargs,
      )
      # Make sure the translation and decomposition is correct
      self._assertOpAndComposite(
          [input_],
          tf.function(gen_pad_ops.new_mirror_pad),
          ops_defs._composite_mirror_pad,
          kwargs_,
      )
  
file_path: tensorflow-upstream/tensorflow/compiler/mlir/tfr/examples/pad/pad_ops_test.py
imports: import os
  from absl.testing import parameterized
  import tensorflow
  from tensorflow.compiler.mlir.tfr.examples.pad import gen_pad_ops
  from tensorflow.compiler.mlir.tfr.examples.pad import ops_defs
  from tensorflow.compiler.mlir.tfr.python import test_utils
  from tensorflow.python.framework import load_library
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the PadOpsDefsTest obj's underlying member method code with example usage: obj.test_mirror_pad(mode) without return types