57 lines
1.9 KiB
Python
57 lines
1.9 KiB
Python
# 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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r"""Generate melodies from a trained checkpoint of the attention RNN model.
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Example usage:
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$ bazel build magenta/models/attention_rnn:attention_rnn_generate
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$ ./bazel-bin/magenta/models/attention_rnn/attention_rnn_generate \
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--run_dir=/tmp/lookback_rnn/logdir/run1 \
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--output_dir=/tmp/lookback_rnn/generated \
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--num_outputs=10 \
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--num_steps=128 \
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--primer_melody="[60]"
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See /magenta/models/shared/melody_rnn_generate.py for flag descriptions.
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"""
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# internal imports
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import attention_rnn_generator
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import tensorflow as tf
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from magenta.models.shared import melody_rnn_generate
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def main(unused_argv):
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melody_rnn_generate.setup_logs()
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with attention_rnn_generator.create_generator(
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melody_rnn_generate.get_checkpoint(),
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melody_rnn_generate.get_bundle(),
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melody_rnn_generate.get_steps_per_quarter(),
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melody_rnn_generate.get_hparams()) as generator:
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if melody_rnn_generate.should_save_generator_bundle():
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tf.logging.info('Saving generator bundle to %s' % (
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melody_rnn_generate.get_bundle_file()))
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generator.create_bundle_file(melody_rnn_generate.get_bundle_file())
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else:
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melody_rnn_generate.run_with_flags(generator)
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def console_entry_point():
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tf.app.run(main)
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if __name__ == '__main__':
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console_entry_point()
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