load_library.load_op_library(os.path.join(_lib_dir, _lib_name))


class PadOpsDefsTest(test_utils.OpsDefsTest, parameterized.TestCase):

  @parameterized.named_parameters(('ReflectMode', 'REFLECT'),
                                  ('SymmetricMode', 'SYMMETRIC'))
  def test_mirror_pad(self, mode):
    input_ = tf.constant([[1, 2, 3], [4, 5, 6]], dtype=tf.float32)

    min_value, max_value = calibration_algorithm.get_min_max_value(
        statistics, calib_opts
    )
    self.assertAllEqual((min_value, max_value), (1.0, 10.0))

  @parameterized.named_parameters(
      {
          "testcase_name": "with_histogram_percentile",
          "calibration_options": stablehlo_quant_config_pb2.CalibrationOptions(

    self.assertTrue(self._contains_quantized_function_call(output_graphdef))

  # Check only the most simple case and the most complicated cases.
  @parameterized.named_parameters(
      {
          'testcase_name': 'none',
          'activation_fn': None,
          'has_bias': False,
          'has_batch_norm': False,
          'target_opset': quant_opts_pb2.TF,

    new_outputs_2 = root.signatures['serving_default'](
        x=ops.convert_to_tensor(input_data)
    )

    self.assertAllClose(new_outputs_1, new_outputs_2)

  @parameterized.named_parameters(
      ('use_constant_with_int32_input', np.int32, False),
      ('use_variable_with_int32_input', np.int32, True),
      ('use_constant_with_int64_input', np.int64, False),

// the PATCH end-point.
func supportsQueryParam(doc *openapi_v2.Document, gvk schema.GroupVersionKind, queryParam VerifiableQueryParam) (bool, error) {
	globalParams := map[string]*openapi_v2.NamedParameter{}
	for _, p := range doc.GetParameters().GetAdditionalProperties() {
		globalParams["#/parameters/"+p.GetName()] = p
	}

	for _, path := range doc.GetPaths().GetPath() {