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 reverse_sequence."""
  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 make_zip_of_tests
  from tensorflow.lite.testing.zip_test_utils import register_make_test_function
  
  
  @register_make_test_function()
  def make_reverse_sequence_tests(options):
    """Make a set of tests to do reverse_sequence."""
  
    test_parameters = [{
        "input_dtype": [tf.float32, tf.int32, tf.int64],
        "input_shape": [[8, 4, 5, 5, 6], [4, 4, 3, 5]],
        "seq_lengths": [[2, 2, 2, 2], [2, 1, 1, 0]],
        "seq_axis": [0, 3],
        "batch_axis": [1]
    }, {
        "input_dtype": [tf.float32],
        "input_shape": [[2, 4, 5, 5, 6]],
        "seq_lengths": [[2, 1]],
        "seq_axis": [2],
        "batch_axis": [0]
    }, {
        "input_dtype": [tf.float32],
        "input_shape": [[4, 2]],
        "seq_lengths": [[3, 1]],
        "seq_axis": [0],
        "batch_axis": [1]
    }]
  
    def build_graph(parameters):
      """Build the graph for reverse_sequence tests."""
      input_value = tf.compat.v1.placeholder(
          dtype=parameters["input_dtype"],
          name="input",
          shape=parameters["input_shape"])
      outs = tf.reverse_sequence(
          input_value,
          seq_lengths=parameters["seq_lengths"],
          batch_axis=parameters["batch_axis"],
          seq_axis=parameters["seq_axis"])
      return [input_value], [outs]
  
    def build_inputs(parameters, sess, inputs, outputs):
      input_value = create_tensor_data(parameters["input_dtype"],
                                       parameters["input_shape"])
      return [input_value], sess.run(
          outputs, feed_dict=dict(zip(inputs, [input_value])))
  
    make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
  