67 lines
2.1 KiB
Python
67 lines
2.1 KiB
Python
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# Copyright 2016 Google Inc. All Rights Reserved.
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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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# http://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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"""Tests for melody_rnn_graph."""
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# internal imports
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import tensorflow as tf
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from magenta.common import tf_lib
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from magenta.models.shared import melody_rnn_graph
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from magenta.music import melodies_lib
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class MelodyRNNGraphTest(tf.test.TestCase):
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def setUp(self):
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self.encoder_decoder = melodies_lib.OneHotEncoderDecoder(0, 12, 0)
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self.hparams = tf_lib.HParams(
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batch_size=128,
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rnn_layer_sizes=[128, 128],
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dropout_keep_prob=0.5,
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skip_first_n_losses=0,
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clip_norm=5,
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initial_learning_rate=0.01,
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decay_steps=1000,
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decay_rate=0.85)
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def testBuildTrainGraph(self):
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g = melody_rnn_graph.build_graph(
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'train', self.hparams, self.encoder_decoder,
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sequence_example_file='test')
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self.assertTrue(isinstance(g, tf.Graph))
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def testBuildEvalGraph(self):
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g = melody_rnn_graph.build_graph(
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'eval', self.hparams, self.encoder_decoder,
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sequence_example_file='test')
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self.assertTrue(isinstance(g, tf.Graph))
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def testBuildGenerateGraph(self):
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self.hparams.temperature = 1.0
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g = melody_rnn_graph.build_graph(
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'generate', self.hparams, self.encoder_decoder,
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sequence_example_file='test')
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self.assertTrue(isinstance(g, tf.Graph))
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def testBuildGraphWithAttention(self):
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self.hparams.attn_length = 10
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g = melody_rnn_graph.build_graph(
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'train', self.hparams, self.encoder_decoder,
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sequence_example_file='test')
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self.assertTrue(isinstance(g, tf.Graph))
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if __name__ == '__main__':
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tf.test.main()
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