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 abs."""
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import numpy as np
  import tensorflow 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_abs_tests(options):
    """Make a set of tests to do abs."""
  
    # Chose a set of parameters
    test_parameters = [{
        "input_shape": [[], [1], [2, 3], [1, 1, 1, 1], [1, 3, 4, 3],
                        [3, 15, 14, 3], [3, 1, 2, 4, 6], [2, 2, 3, 4, 5, 6]],
    }]
  
    def build_graph(parameters):
      input_tensor = tf.placeholder(
          dtype=tf.float32, name="input", shape=parameters["input_shape"])
      out = tf.abs(input_tensor)
      return [input_tensor], [out]
  
    def build_inputs(parameters, sess, inputs, outputs):
      input_values = create_tensor_data(
          np.float32, parameters["input_shape"], min_value=-10, max_value=10)
      return [input_values], sess.run(
          outputs, feed_dict=dict(zip(inputs, [input_values])))
  
    make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
  