fix(wandb): allow custom init args (#6989)

* feat(wandb): allow custom init args

* style: pep8

* fix: get dict args

* refactor: simplify init args

* test: test init args

* style: pep8

* docs: update CHANGELOG

* test: check default resume value

* fix: default value of anonymous

* fix: respect order of parameters

* feat: use look-up table for anonymous

* yapf formatting

Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>

CHANGELOG.md

@@ -460,6 +460,10 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Fixed optimizer `state` not moved to `GPU` ([#7277](https://github.com/PyTorchLightning/pytorch-lightning/pull/7277))
 
 
+- Fixed custom init args for `WandbLogger` ([#6989](https://github.com/PyTorchLightning/pytorch-lightning/pull/6989))
+
+
+
 ## [1.2.7] - 2021-04-06
 
 ### Fixed

pytorch_lightning/loggers/wandb.py

@@ -59,8 +59,7 @@ class WandbLogger(LightningLoggerBase):
         log_model: Save checkpoints in wandb dir to upload on W&B servers.
         prefix: A string to put at the beginning of metric keys.
         experiment: WandB experiment object. Automatically set when creating a run.
-        \**kwargs: Additional arguments like `entity`, `group`, `tags`, etc. used by
-            :func:`wandb.init` can be passed as keyword arguments in this logger.
+        \**kwargs: Arguments passed to :func:`wandb.init` like `entity`, `group`, `tags`, etc.
 
     Raises:
         ImportError:
@@ -93,7 +92,7 @@ class WandbLogger(LightningLoggerBase):
         save_dir: Optional[str] = None,
         offline: Optional[bool] = False,
         id: Optional[str] = None,
-        anonymous: Optional[bool] = False,
+        anonymous: Optional[bool] = None,
         version: Optional[str] = None,
         project: Optional[str] = None,
         log_model: Optional[bool] = False,
@@ -122,16 +121,25 @@ class WandbLogger(LightningLoggerBase):
             )
 
         super().__init__()
-        self._name = name
-        self._save_dir = save_dir
         self._offline = offline
-        self._id = version or id
-        self._anonymous = 'allow' if anonymous else None
-        self._project = project
         self._log_model = log_model
         self._prefix = prefix
         self._experiment = experiment
-        self._kwargs = kwargs
+        # set wandb init arguments
+        anonymous_lut = {True: 'allow', False: None}
+        self._wandb_init = dict(
+            name=name,
+            project=project,
+            id=version or id,
+            dir=save_dir,
+            resume='allow',
+            anonymous=anonymous_lut.get(anonymous, anonymous)
+        )
+        self._wandb_init.update(**kwargs)
+        # extract parameters
+        self._save_dir = self._wandb_init.get('dir')
+        self._name = self._wandb_init.get('name')
+        self._id = self._wandb_init.get('id')
 
     def __getstate__(self):
         state = self.__dict__.copy()
@@ -158,15 +166,7 @@ class WandbLogger(LightningLoggerBase):
         if self._experiment is None:
             if self._offline:
                 os.environ['WANDB_MODE'] = 'dryrun'
-            self._experiment = wandb.init(
-                name=self._name,
-                dir=self._save_dir,
-                project=self._project,
-                anonymous=self._anonymous,
-                id=self._id,
-                resume='allow',
-                **self._kwargs
-            ) if wandb.run is None else wandb.run
+            self._experiment = wandb.init(**self._wandb_init) if wandb.run is None else wandb.run
 
         # save checkpoints in wandb dir to upload on W&B servers
         if self._save_dir is None:

tests/loggers/test_wandb.py

@@ -37,9 +37,13 @@ def test_wandb_logger_init(wandb, recwarn):
 
     # test wandb.init called when there is no W&B run
     wandb.run = None
-    logger = WandbLogger()
+    logger = WandbLogger(
+        name='test_name', save_dir='test_save_dir', version='test_id', project='test_project', resume='never'
+    )
     logger.log_metrics({'acc': 1.0})
-    wandb.init.assert_called_once()
+    wandb.init.assert_called_once_with(
+        name='test_name', dir='test_save_dir', id='test_id', project='test_project', resume='never', anonymous=None
+    )
     wandb.init().log.assert_called_once_with({'acc': 1.0})
 
     # test wandb.init and setting logger experiment externally
@@ -55,6 +59,8 @@ def test_wandb_logger_init(wandb, recwarn):
     wandb.init.reset_mock()
     wandb.run = wandb.init()
     logger = WandbLogger()
+    # verify default resume value
+    assert logger._wandb_init['resume'] == 'allow'
     logger.log_metrics({'acc': 1.0}, step=3)
     wandb.init.assert_called_once()
     wandb.init().log.assert_called_once_with({'acc': 1.0, 'trainer/global_step': 3})