Merge branch 'master' of https://github.com/jwyang/graph-rcnn.pytorch

Author: jwyang

lib/scene_parser/rcnn/utils/checkpoint.py

@@ -64,13 +64,13 @@ def load(self, f=None, resume=0, use_latest=False):
         self.logger.info("Loading checkpoint from {}".format(f))
         checkpoint = self._load_file(f)
         self._load_model(checkpoint)
-        if "optimizer" in checkpoint and self.optimizer and "sg" in f and not self.inference:
-            self.logger.info("Loading optimizer from {}".format(f))
-            self.optimizer.load_state_dict(checkpoint.pop("optimizer"))
-        if "scheduler" in checkpoint and self.scheduler and "sg" in f and not self.inference:
-            self.logger.info("Loading scheduler from {}".format(f))
-            self.scheduler.load_state_dict(checkpoint.pop("scheduler"))
-        checkpoint['iteration'] = resume  # if we load detector, the we should not use its start iteration
+        # if "optimizer" in checkpoint and self.optimizer and "sg" in f and not self.inference:
+        #    self.logger.info("Loading optimizer from {}".format(f))
+        #    self.optimizer.load_state_dict(checkpoint.pop("optimizer"))
+        # if "scheduler" in checkpoint and self.scheduler and "sg" in f and not self.inference:
+        #    self.logger.info("Loading scheduler from {}".format(f))
+        #    self.scheduler.load_state_dict(checkpoint.pop("scheduler"))
+        # checkpoint['iteration'] = resume  # if we load detector, the we should not use its start iteration
 
         return checkpoint