text: # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  """Test configs for tensor_list_resize."""
  import tensorflow.compat.v1 as tf
  from tensorflow.lite.testing.zip_test_utils import create_tensor_data
  from tensorflow.lite.testing.zip_test_utils import ExtraConvertOptions
  from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
  from tensorflow.lite.testing.zip_test_utils import register_make_test_function
  from tensorflow.python.ops import list_ops
  
  
  @register_make_test_function()
  def make_tensor_list_resize_tests(options):
    """Make a set of tests to do TensorListResize."""
  
    test_parameters = [
        {
            "element_dtype": [tf.float32, tf.int32],
            "num_elements": [4, 5, 6],
            "element_shape": [[], [5], [3, 3]],
            "new_size": [1, 3, 5, 7],
        },
    ]
  
    def build_graph(parameters):
      """Build the TensorListResize op testing graph."""
      data = tf.placeholder(
          dtype=parameters["element_dtype"],
          shape=[parameters["num_elements"]] + parameters["element_shape"])
      tensor_list = list_ops.tensor_list_from_tensor(data,
                                                     parameters["element_shape"])
      tensor_list = list_ops.tensor_list_resize(tensor_list,
                                                parameters["new_size"])
      out = list_ops.tensor_list_stack(
          tensor_list, element_dtype=parameters["element_dtype"])
      return [data], [out]
  
    def build_inputs(parameters, sess, inputs, outputs):
      data = create_tensor_data(parameters["element_dtype"],
                                [parameters["num_elements"]] +
                                parameters["element_shape"])
      return [data], sess.run(outputs, feed_dict=dict(zip(inputs, [data])))
  
    extra_convert_options = ExtraConvertOptions()
    make_zip_of_tests(options, test_parameters, build_graph, build_inputs,
                      extra_convert_options)
  