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Cleanup imports.

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Till now, most of the modules were importing all of the module objects
(variables, classes, functions, other imports) into module namespace,
which potentially could (and was) cause of unintentional use of class or
methods, which was indirect imported.

With this patch, all the star imports were substituted with top-level
module, which provides desired class or function.

Besides, all imports where sorted (where possible) in a way pep8[1]
suggests - first are imports from standard library, than goes third
party imports (like numpy, tensorflow etc) and finally coach modules.
All of those sections are separated by one empty line.

[1] https://www.python.org/dev/peps/pep-0008/#imports
This commit is contained in:
Roman Dobosz
2018-04-12 19:46:32 +02:00
parent cafa152382
commit 1b095aeeca
75 changed files with 1169 additions and 1139 deletions
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18
architectures/tensorflow_components/heads.py
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@@ -13,10 +13,10 @@
# See the License for the specific language governing permissions and
# limitations under the License.
#
import tensorflow as tf
import numpy as np
from utils import force_list
import utils
# Used to initialize weights for policy and value output layers
@@ -36,7 +36,7 @@ class Head(object):
self.loss = []
self.loss_type = []
self.regularizations = []
self.loss_weight = force_list(loss_weight)
self.loss_weight = utils.force_list(loss_weight)
self.target = []
self.input = []
self.is_local = is_local
@@ -50,12 +50,12 @@ class Head(object):
with tf.variable_scope(self.get_name(), initializer=tf.contrib.layers.xavier_initializer()):
self._build_module(input_layer)
self.output = force_list(self.output)
self.target = force_list(self.target)
self.input = force_list(self.input)
self.loss_type = force_list(self.loss_type)
self.loss = force_list(self.loss)
self.regularizations = force_list(self.regularizations)
self.output = utils.force_list(self.output)
self.target = utils.force_list(self.target)
self.input = utils.force_list(self.input)
self.loss_type = utils.force_list(self.loss_type)
self.loss = utils.force_list(self.loss)
self.regularizations = utils.force_list(self.regularizations)
if self.is_local:
self.set_loss()
self._post_build()