514a2ddf9d74783f082e2b84ad3abb8ded1597b5,softlearning/algorithms/sac.py,SAC,__init__,#SAC#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,73
Before Change
self._init_critic_update()
self._init_target_ops()
self._sess.run(tf.variables_initializer([
variable for variable in tf.global_variables()
if "low_level_policy" not in variable.name
] ))
@overrides
def train(self):
After Change
// Initialize all uninitialized variables. This prevents initializing
// pre-trained policy and qf and vf variables.
uninit_vars = []
for var in tf.global_variables() :
try:
self._sess.run(var)
except tf.errors.FailedPreconditionError:
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances Project Name: rail-berkeley/softlearning
Commit Name: 514a2ddf9d74783f082e2b84ad3abb8ded1597b5
Time: 2018-05-27
Author: kristian.hartikainen@gmail.com
File Name: softlearning/algorithms/sac.py
Class Name: SAC
Method Name: __init__
Project Name: horovod/horovod
Commit Name: 65bb3580e5cdd9adee17b5f80fba949550931271
Time: 2019-01-09
Author: 38317191+kuroko1t@users.noreply.github.com
File Name: horovod/tensorflow/__init__.py
Class Name:
Method Name: broadcast_global_variables
Project Name: tensorflow/magenta
Commit Name: 8cc96043566b24208c46c33bceb5fa699217a17c
Time: 2020-07-20
Author: adarob@google.com
File Name: magenta/models/gansynth/lib/train_util.py
Class Name: ProganDebugHook
Method Name: __init__