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# Copyright 2016 The TensorFlow Authors. All Rights Reserved.

# Modifications Copyright 2017 Abigail See

#

# Licensed under the Apache License, Version 2.0 (the "License");

# you may not use this file except in compliance with the License.

# You may obtain a copy of the License at

#

# http://www.apache.org/licenses/LICENSE-2.0

#

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# See the License for the specific language governing permissions and

# limitations under the License.

# ==============================================================================

"""This file contains some utility functions"""

import tensorflow as tf

import time

import os

FLAGS = tf.app.flags.FLAGS

def get_config():

"""Returns config for tf.session"""

config = tf.ConfigProto(allow_soft_placement=True)

config.gpu_options.allow_growth=True

return config

def load_ckpt(saver, sess, ckpt_dir="train"):

"""Load checkpoint from the ckpt_dir (if unspecified, this is train dir) and restore it to saver and sess, waiting 10 secs in the case of failure. Also returns checkpoint name."""

while True:

try:

latest_filename = "checkpoint_best" if ckpt_dir=="eval" else None

ckpt_dir = os.path.join(FLAGS.log_root, ckpt_dir)

ckpt_state = tf.train.get_checkpoint_state(ckpt_dir, latest_filename=latest_filename)

tf.logging.info('Loading checkpoint %s', ckpt_state.model_checkpoint_path)

saver.restore(sess, ckpt_state.model_checkpoint_path)

return ckpt_state.model_checkpoint_path

except:

tf.logging.info("Failed to load checkpoint from %s. Sleeping for %i secs...", ckpt_dir, 10)

time.sleep(10)