https://github.com/GPflow/GPflow
Tip revision: b811d4fdc081f6a7825fed7fe5d32641b8122f8c authored by Alexander G. de G. Matthews on 24 October 2016, 14:39:04 UTC
Merge pull request #238 from GPflow/versionupdate3.2
Merge pull request #238 from GPflow/versionupdate3.2
Tip revision: b811d4f
scoping.py
# Copyright 2016 James Hensman
#
# 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.
import tensorflow as tf
class NameScoped(object):
"""
A decorator for functions, so that they can be executed within tensorflow
scopes. Usage:
>>> @NameScoped('foo_scope'):
>>> def foobar(x, y=3):
>>> return x + y
or
>>> def foobaz(x, y=4):
return x + y
>>> myfunc = NameScoped('my_fave_scope')(foobaz)
"""
def __init__(self, name):
self.name = name
def __call__(self, f):
def runnable(*args, **kwargs):
with tf.name_scope(self.name):
return f(*args, **kwargs)
return runnable