[fix]: Fix a bug where logs are missing when two or more loggers were set (#1015)

* +super().before_run()

* flip reset_flag

mmcv/runner/hooks/logger/mlflow.py

@@ -13,7 +13,7 @@ class MlflowLoggerHook(LoggerHook):
                  log_model=True,
                  interval=10,
                  ignore_last=True,
-                 reset_flag=True,
+                 reset_flag=False,
                  by_epoch=True):
         """Class to log metrics and (optionally) a trained model to MLflow.
 
@@ -60,6 +60,7 @@ class MlflowLoggerHook(LoggerHook):
 
     @master_only
     def before_run(self, runner):
+        super(MlflowLoggerHook, self).before_run(runner)
         if self.exp_name is not None:
             self.mlflow.set_experiment(self.exp_name)
         if self.tags is not None:

mmcv/runner/hooks/logger/pavi.py

@@ -22,7 +22,7 @@ class PaviLoggerHook(LoggerHook):
                  add_last_ckpt=False,
                  interval=10,
                  ignore_last=True,
-                 reset_flag=True,
+                 reset_flag=False,
                  by_epoch=True,
                  img_key='img_info'):
         super(PaviLoggerHook, self).__init__(interval, ignore_last, reset_flag,
@@ -34,6 +34,7 @@ class PaviLoggerHook(LoggerHook):
 
     @master_only
     def before_run(self, runner):
+        super(PaviLoggerHook, self).before_run(runner)
         try:
             from pavi import SummaryWriter
         except ImportError:

mmcv/runner/hooks/logger/tensorboard.py

@@ -14,7 +14,7 @@ class TensorboardLoggerHook(LoggerHook):
                  log_dir=None,
                  interval=10,
                  ignore_last=True,
-                 reset_flag=True,
+                 reset_flag=False,
                  by_epoch=True):
         super(TensorboardLoggerHook, self).__init__(interval, ignore_last,
                                                     reset_flag, by_epoch)
@@ -22,6 +22,7 @@ class TensorboardLoggerHook(LoggerHook):
 
     @master_only
     def before_run(self, runner):
+        super(TensorboardLoggerHook, self).before_run(runner)
         if TORCH_VERSION < '1.1' or TORCH_VERSION == 'parrots':
             try:
                 from tensorboardX import SummaryWriter

mmcv/runner/hooks/logger/wandb.py

@@ -11,7 +11,7 @@ class WandbLoggerHook(LoggerHook):
                  init_kwargs=None,
                  interval=10,
                  ignore_last=True,
-                 reset_flag=True,
+                 reset_flag=False,
                  commit=True,
                  by_epoch=True,
                  with_step=True):
@@ -32,6 +32,7 @@ class WandbLoggerHook(LoggerHook):
 
     @master_only
     def before_run(self, runner):
+        super(WandbLoggerHook, self).before_run(runner)
         if self.wandb is None:
             self.import_wandb()
         if self.init_kwargs: