53 lines
1.7 KiB
Python
53 lines
1.7 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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r"""Train and evaluate the lookback RNN model.
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Example usage:
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$ bazel build magenta/models/lookback_rnn:lookback_rnn_train
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$ ./bazel-bin/magenta/models/lookback_rnn/lookback_rnn_train \
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--run_dir=/tmp/lookback_rnn/logdir/run1 \
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--sequence_example_file=/tmp/lookback_rnn/training_melodies.tfrecord \
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--num_training_steps=20000
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$ ./bazel-bin/magenta/models/lookback_rnn/lookback_rnn_train \
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--run_dir=/tmp/lookback_rnn/logdir/run1 \
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--sequence_example_file=/tmp/lookback_rnn/eval_melodies.tfrecord \
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--num_training_steps=20000
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--eval
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$ tensorboard --logdir=/tmp/lookback_rnn/logdir
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See /magenta/models/shared/melody_rnn_train.py for flag descriptions.
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"""
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# internal imports
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import lookback_rnn_encoder_decoder
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import lookback_rnn_graph
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import tensorflow as tf
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from magenta.models.shared import melody_rnn_train
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def main(unused_argv):
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melody_encoder_decoder = lookback_rnn_encoder_decoder.MelodyEncoderDecoder()
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melody_rnn_train.run(melody_encoder_decoder, lookback_rnn_graph.build_graph)
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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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