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https://github.com/gryf/coach.git
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@@ -559,7 +559,7 @@ class GraphManager(object):
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# As part of this restore, Agent recreates the global, target and online networks
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# As part of this restore, Agent recreates the global, target and online networks
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[manager.restore_checkpoint(self.task_parameters.checkpoint_restore_dir) for manager in self.level_managers]
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[manager.restore_checkpoint(self.task_parameters.checkpoint_restore_dir) for manager in self.level_managers]
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# Recreate session. This will help use the new Tensorflow Graph created in above step.
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# Recreate the session to use the new TF Graphs
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self.create_session(self.task_parameters)
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self.create_session(self.task_parameters)
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if checkpoint is None:
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if checkpoint is None:
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@@ -568,7 +568,7 @@ class GraphManager(object):
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screen.log_title("Loading checkpoint: {}".format(checkpoint.model_checkpoint_path))
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screen.log_title("Loading checkpoint: {}".format(checkpoint.model_checkpoint_path))
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self.checkpoint_saver.restore(self.sess, checkpoint.model_checkpoint_path)
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self.checkpoint_saver.restore(self.sess, checkpoint.model_checkpoint_path)
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else:
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else:
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# Create new session
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# Create the session to use the new TF Graphs
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self.create_session(self.task_parameters)
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self.create_session(self.task_parameters)
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def _get_checkpoint_state_tf(self):
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def _get_checkpoint_state_tf(self):
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