mirror of https://github.com/tensorflow/models.git
47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
# Copyright 2017 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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# ==============================================================================
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"""Pretrains a recurrent language model.
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Computational time:
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2 days to train 100000 steps on 1 layer 1024 hidden units LSTM,
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256 embeddings, 400 truncated BP, 256 minibatch and on single GPU (Pascal
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Titan X, cuDNNv5).
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"""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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# Dependency imports
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import tensorflow as tf
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import graphs
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import train_utils
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FLAGS = tf.app.flags.FLAGS
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def main(_):
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"""Trains Language Model."""
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tf.logging.set_verbosity(tf.logging.INFO)
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with tf.device(tf.train.replica_device_setter(FLAGS.ps_tasks)):
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model = graphs.get_model()
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train_op, loss, global_step = model.language_model_training()
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train_utils.run_training(train_op, loss, global_step)
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if __name__ == '__main__':
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tf.app.run()
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