[pre-commit.ci] auto fixes from pre-commit.com hooks

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pl_examples/basic_examples/autoencoder.py

@@ -113,11 +113,16 @@ def val_dataloader(self):
     def test_dataloader(self):
         return DataLoader(self.mnist_test, batch_size=self.batch_size)
 
+
 class WandBandSafeConfigCallBackFixCLI(LightningCLI):
+
     def add_arguments_to_parser(self, parser):
-        parser.add_argument('save_config_callback_filename', default='',
-                help='Change config filename in order to avoid clashes with wandb.'
-                     'TODO submit PR for setting this in LightningCLI constructor/self.config')
+        parser.add_argument(
+            'save_config_callback_filename',
+            default='',
+            help='Change config filename in order to avoid clashes with wandb.'
+            'TODO submit PR for setting this in LightningCLI constructor/self.config'
+        )
 
     def before_fit(self):
         save_config_cb = [c for c in self.trainer.callbacks if isinstance(c, SaveConfigCallback)]

pl_examples/basic_examples/autoencoder.yml

@@ -1,14 +1,14 @@
 # See SaveConfigCallback config_filename: str = 'config.yaml'
 # This breaks the example
 save_config_callback_filename: ''   # Keeps the LightningCLI intact - do not apply workaround
-# 
+#
 # Workaround - UNCOMMENT TO MAKE THE EXAMPLE WORKING or specify as CLI option
 # save_config_callback_filename: 'another-name-config.yaml  # See WandBandSafeConfigCallBackFixCLI
 
 
 trainer:
   max_epochs: 3
   logger:
-    class_path: pytorch_lightning.loggers.WandbLogger 
+    class_path: pytorch_lightning.loggers.WandbLogger
     init_args:
       name: oplatek-pl-documenting-wandb-lightningCLI-clash

pl_examples/run-example-wandb-save-config-callback-clash-workaournd.sh

@@ -4,7 +4,7 @@
 ARGS_EXTRA_DDP=" --trainer.gpus 2 --trainer.accelerator ddp"
 ARGS_EXTRA_AMP=" --trainer.precision 16"
 
-# conda created with the following command in the git root directory 
+# conda created with the following command in the git root directory
 #   conda env create --file environment.yml --prefix $PWD/env
 #   conda activate $PWD/env
 #   pip install pytorch-lightning==1.3.2