Revert "glog does not need to be ebabled explictly"

YangGangZhiQi · Sep 13, 2021 · 4c62cc0 · 4c62cc0
1 parent abb56d8
commit 4c62cc0
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Showing 3 changed files with 6 additions and 4 deletions.
diff --git a/paddlex/cv/models/classifier.py b/paddlex/cv/models/classifier.py
@@ -154,11 +154,11 @@ def default_optimizer(self, parameters, learning_rate, warmup_steps,
             if warmup_steps > lr_decay_epochs[0] * num_steps_each_epoch:
                 logging.error(
                     "In function train(), parameters should satisfy: "
-                    "warmup_steps <= lr_decay_epochs[0]*num_samples_in_train_dataset.",
+                    "warmup_steps <= lr_decay_epochs[0]*num_samples_in_train_dataset",
                     exit=False)
                 logging.error(
                     "See this doc for more information: "
-                    "https://github.com/PaddlePaddle/PaddleX/blob/develop/docs/parameters.md",
+                    "https://github.com/PaddlePaddle/PaddleX/blob/release/2.0.0/docs/parameters.md",
                     exit=False)
                 logging.error(
                     "warmup_steps should less than {} or lr_decay_epochs[0] greater than {}, "

diff --git a/paddlex/cv/models/detector.py b/paddlex/cv/models/detector.py
@@ -127,7 +127,7 @@ def default_optimizer(self, parameters, learning_rate, warmup_steps,
                     exit=False)
                 logging.error(
                     "See this doc for more information: "
-                    "https://github.com/PaddlePaddle/PaddleX/blob/develop/docs/parameters.md",
+                    "https://github.com/PaddlePaddle/PaddleX/blob/release/2.0.0/docs/parameters.md",
                     exit=False)
 
             scheduler = paddle.optimizer.lr.LinearWarmup(

diff --git a/paddlex/deploy.py b/paddlex/deploy.py
@@ -116,7 +116,9 @@ def create_predictor(self,
                     )
                     pass
 
-        if not use_glog:
+        if use_glog:
+            config.enable_glog_info()
+        else:
             config.disable_glog_info()
         if memory_optimize:
             config.enable_memory_optim()