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 log_softmax."""
  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_log_softmax_tests(options):
    """Make a set of tests to do log_softmax."""
  
    test_parameters = [{
        "input_dtype": [tf.float32],
        "input_shape": [[1, 100], [4, 2], [5, 224]],
    }]
  
    def build_graph(parameters):
      """Build the log_softmax op testing graph."""
      input_tensor = tf.compat.v1.placeholder(
          dtype=parameters["input_dtype"],
          name="input",
          shape=parameters["input_shape"])
  
      out = tf.nn.log_softmax(input_tensor)
      return [input_tensor], [out]
  
    def build_inputs(parameters, sess, inputs, outputs):
      values = [
          create_tensor_data(
              parameters["input_dtype"],
              parameters["input_shape"],
              min_value=-100,
              max_value=9)
      ]
      return values, sess.run(outputs, feed_dict=dict(zip(inputs, values)))
  
    make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
  