diff --git a/CHANGELOG.md b/CHANGELOG.md
index ec40d0441b451..d6bcde01dfd42 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -24,7 +24,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Added DeepSpeed collate checkpoint utility function ([#8701](https://github.com/PyTorchLightning/pytorch-lightning/pull/8701))
 
 
--
+- Added `log_graph` argument for `watch` method of `WandbLogger` ([#8662](https://github.com/PyTorchLightning/pytorch-lightning/pull/8662))
 
 
 - Fault-tolerant training:
diff --git a/pytorch_lightning/loggers/wandb.py b/pytorch_lightning/loggers/wandb.py
index 6b1c178003b48..72ae61aaffe1f 100644
--- a/pytorch_lightning/loggers/wandb.py
+++ b/pytorch_lightning/loggers/wandb.py
@@ -199,8 +199,8 @@ def experiment(self) -> Run:
 
         return self._experiment
 
-    def watch(self, model: nn.Module, log: str = "gradients", log_freq: int = 100):
-        self.experiment.watch(model, log=log, log_freq=log_freq)
+    def watch(self, model: nn.Module, log: str = "gradients", log_freq: int = 100, log_graph: bool = True):
+        self.experiment.watch(model, log=log, log_freq=log_freq, log_graph=log_graph)
 
     @rank_zero_only
     def log_hyperparams(self, params: Union[Dict[str, Any], Namespace]) -> None:
diff --git a/tests/loggers/test_wandb.py b/tests/loggers/test_wandb.py
index 6063a558402c9..40243860b1cb9 100644
--- a/tests/loggers/test_wandb.py
+++ b/tests/loggers/test_wandb.py
@@ -69,8 +69,8 @@ def test_wandb_logger_init(wandb):
     )
 
     # watch a model
-    logger.watch("model", "log", 10)
-    wandb.init().watch.assert_called_once_with("model", log="log", log_freq=10)
+    logger.watch("model", "log", 10, False)
+    wandb.init().watch.assert_called_once_with("model", log="log", log_freq=10, log_graph=False)
 
     assert logger.name == wandb.init().project_name()
     assert logger.version == wandb.init().id