# 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
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# 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.
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# ==============================================================================
"""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()

tensorflow.python.platform.test.main