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Deepmind Team
58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
# Copyright 2019 DeepMind Technologies Limited and Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import sonnet as snt
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import tensorflow.compat.v1 as tf
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from cs_gan import gan
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class DummyGenerator(snt.AbstractModule):
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def __init__(self):
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super(DummyGenerator, self).__init__(name='dummy_generator')
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def _build(self, inputs, is_training):
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return snt.Linear(10)(inputs)
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class GanTest(tf.test.TestCase):
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def testConnect(self):
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discriminator = snt.Linear(2)
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generator = DummyGenerator()
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model = gan.GAN(
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discriminator, generator,
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num_z_iters=0, z_step_size=0.1,
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z_project_method='none', optimisation_cost_weight=0.0)
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generator_inputs = tf.ones((16, 3), dtype=tf.float32)
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data = tf.ones((16, 10))
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opt_compoments, _ = model.connect(data, generator_inputs)
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self.assertIn('disc', opt_compoments)
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self.assertIn('gen', opt_compoments)
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self.assertCountEqual(
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opt_compoments['disc'].vars,
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discriminator.get_variables())
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self.assertCountEqual(
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opt_compoments['gen'].vars,
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generator.get_variables() + model._log_step_size_module.get_variables())
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if __name__ == '__main__':
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tf.test.main()
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