code: # Copyright 2016-2019 The Van Valen Lab at the California Institute of
  # Technology (Caltech), with support from the Paul Allen Family Foundation,
  # Google, & National Institutes of Health (NIH) under Grant U24CA224309-01.
  # All rights reserved.
  #
  # Licensed under a modified 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.github.com/vanvalenlab/deepcell-tf/LICENSE
  #
  # The Work provided may be used for non-commercial academic purposes only.
  # For any other use of the Work, including commercial use, please contact:
  # vanvalenlab@gmail.com
  #
  # Neither the name of Caltech nor the names of its contributors may be used
  # to endorse or promote products derived from this software without specific
  # prior written permission.
  #
  # 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.
  # ==============================================================================
  """Tests for the location layers"""
  from __future__ import absolute_import
  from __future__ import print_function
  from __future__ import division
  
  from tensorflow.python.keras import keras_parameterized
  from tensorflow.python.platform import test
  
  from deepcell.utils import testing_utils
  from deepcell import layers
  
  
  @keras_parameterized.run_all_keras_modes
  class LocationTest(keras_parameterized.TestCase):
  
      def test_location_2d(self):
          testing_utils.layer_test(
              layers.Location2D,
              kwargs={'in_shape': (5, 6, 4),
                      'data_format': 'channels_last'},
              custom_objects={'Location2D': layers.Location2D},
              input_shape=(3, 5, 6, 4))
          testing_utils.layer_test(
              layers.Location2D,
              kwargs={'in_shape': (4, 5, 6),
                      'data_format': 'channels_first'},
              custom_objects={'Location2D': layers.Location2D},
              input_shape=(3, 4, 5, 6))
  
      def test_location_3d(self):
          testing_utils.layer_test(
              layers.Location3D,
              kwargs={'in_shape': (11, 12, 10, 4),
                      'data_format': 'channels_last'},
              custom_objects={'Location3D': layers.Location3D},
              input_shape=(3, 11, 12, 10, 4))
          testing_utils.layer_test(
              layers.Location3D,
              kwargs={'in_shape': (4, 11, 12, 10),
                      'data_format': 'channels_first'},
              custom_objects={'Location3D': layers.Location3D},
              input_shape=(3, 4, 11, 12, 10))
  
  
  if __name__ == '__main__':
      test.main()
  
apis: tensorflow.python.platform.test.main