diff --git a/tianshou/utils/logger/tensorboard.py b/tianshou/utils/logger/tensorboard.py
index bc43bae..843ff01 100644
--- a/tianshou/utils/logger/tensorboard.py
+++ b/tianshou/utils/logger/tensorboard.py
@@ -17,6 +17,8 @@ class TensorboardLogger(BaseLogger):
     :param int update_interval: the log interval in log_update_data(). Default to 1000.
     :param int save_interval: the save interval in save_data(). Default to 1 (save at
         the end of each epoch).
+    :param bool write_flush: whether to flush tensorboard result after each
+        add_scalar operation. Default to True.
     """
 
     def __init__(
@@ -26,16 +28,19 @@ class TensorboardLogger(BaseLogger):
         test_interval: int = 1,
         update_interval: int = 1000,
         save_interval: int = 1,
+        write_flush: bool = True,
     ) -> None:
         super().__init__(train_interval, test_interval, update_interval)
         self.save_interval = save_interval
+        self.write_flush = write_flush
         self.last_save_step = -1
         self.writer = writer
 
     def write(self, step_type: str, step: int, data: LOG_DATA_TYPE) -> None:
         for k, v in data.items():
             self.writer.add_scalar(k, v, global_step=step)
-        self.writer.flush()  # issue #482
+        if self.write_flush:  # issue 580
+            self.writer.flush()  # issue #482
 
     def save_data(
         self,
diff --git a/tianshou/utils/logger/wandb.py b/tianshou/utils/logger/wandb.py
index 32a89d2..e63a7bc 100644
--- a/tianshou/utils/logger/wandb.py
+++ b/tianshou/utils/logger/wandb.py
@@ -31,6 +31,10 @@ class WandbLogger(BaseLogger):
     :param int test_interval: the log interval in log_test_data(). Default to 1.
     :param int update_interval: the log interval in log_update_data().
         Default to 1000.
+    :param int save_interval: the save interval in save_data(). Default to 1 (save at
+        the end of each epoch).
+    :param bool write_flush: whether to flush tensorboard result after each
+        add_scalar operation. Default to True.
     :param str project: W&B project name. Default to "tianshou".
     :param str name: W&B run name. Default to None. If None, random name is assigned.
     :param str entity: W&B team/organization name. Default to None.
@@ -44,6 +48,7 @@ class WandbLogger(BaseLogger):
         test_interval: int = 1,
         update_interval: int = 1000,
         save_interval: int = 1000,
+        write_flush: bool = True,
         project: Optional[str] = None,
         name: Optional[str] = None,
         entity: Optional[str] = None,
@@ -53,6 +58,7 @@ class WandbLogger(BaseLogger):
         super().__init__(train_interval, test_interval, update_interval)
         self.last_save_step = -1
         self.save_interval = save_interval
+        self.write_flush = write_flush
         self.restored = False
         if project is None:
             project = os.getenv("WANDB_PROJECT", "tianshou")
@@ -72,7 +78,10 @@ class WandbLogger(BaseLogger):
 
     def load(self, writer: SummaryWriter) -> None:
         self.writer = writer
-        self.tensorboard_logger = TensorboardLogger(writer)
+        self.tensorboard_logger = TensorboardLogger(
+            writer, self.train_interval, self.test_interval, self.update_interval,
+            self.save_interval, self.write_flush
+        )
 
     def write(self, step_type: str, step: int, data: LOG_DATA_TYPE) -> None:
         if self.tensorboard_logger is None: