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# Copyright 2018 The TensorFlow Authors All Rights Reserved.
#
# 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.
# ==============================================================================
"""Various utilities."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import cPickle
import sys
import tensorflow as tf
class Memoize(object):
def __init__(self, f):
self.f = f
self.cache = {}
def __call__(self, *args):
if args not in self.cache:
self.cache[args] = self.f(*args)
return self.cache[args]
def load_cpickle(path, memoized=True):
return _load_cpickle_memoize(path) if memoized else _load_cpickle(path)
def _load_cpickle(path):
with tf.gfile.GFile(path, 'r') as f:
return cPickle.load(f)
@Memoize
def _load_cpickle_memoize(path):
return _load_cpickle(path)
def write_cpickle(o, path):
tf.gfile.MakeDirs(path.rsplit('/', 1)[0])
with tf.gfile.GFile(path, 'w') as f:
cPickle.dump(o, f, -1)
def log(*args):
msg = ' '.join(map(str, args))
sys.stdout.write(msg + '\n')
sys.stdout.flush()
def heading(*args):
log()
log(80 * '=')
log(*args)
log(80 * '=')
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