diff --git a/src/lightning/pytorch/trainer/trainer.py b/src/lightning/pytorch/trainer/trainer.py
index 79070a3eb4..b8c6d2ac31 100644
--- a/src/lightning/pytorch/trainer/trainer.py
+++ b/src/lightning/pytorch/trainer/trainer.py
@@ -300,7 +300,6 @@ class Trainer:
 
             MisconfigurationException:
                 If ``gradient_clip_algorithm`` is invalid.
-                If ``track_grad_norm`` is not a positive number or inf.
 
         """
         super().__init__()
diff --git a/tests/tests_pytorch/test_cli.py b/tests/tests_pytorch/test_cli.py
index fdc49f787c..fc3793a07b 100644
--- a/tests/tests_pytorch/test_cli.py
+++ b/tests/tests_pytorch/test_cli.py
@@ -42,9 +42,6 @@ from lightning.pytorch.cli import (
 )
 from lightning.pytorch.demos.boring_classes import BoringDataModule, BoringModel
 from lightning.pytorch.loggers import CSVLogger, TensorBoardLogger
-from lightning.pytorch.loggers.comet import _COMET_AVAILABLE
-from lightning.pytorch.loggers.neptune import _NEPTUNE_AVAILABLE
-from lightning.pytorch.loggers.wandb import _WANDB_AVAILABLE
 from lightning.pytorch.strategies import DDPStrategy
 from lightning.pytorch.trainer.states import TrainerFn
 from lightning.pytorch.utilities.exceptions import MisconfigurationException
@@ -1438,7 +1435,7 @@ def test_cli_logger_shorthand():
     assert cli.trainer.logger is None
 
 
-def _test_logger_init_args(logger_name, init, unresolved={}):
+def _test_logger_init_args(logger_name, init, unresolved=None):
     cli_args = [f"--trainer.logger={logger_name}"]
     cli_args += [f"--trainer.logger.{k}={v}" for k, v in init.items()]
     cli_args += [f"--trainer.logger.dict_kwargs.{k}={v}" for k, v in unresolved.items()]
@@ -1454,48 +1451,38 @@ def _test_logger_init_args(logger_name, init, unresolved={}):
         assert data["dict_kwargs"] == unresolved
 
 
-@pytest.mark.skipif(not _COMET_AVAILABLE, reason="comet-ml is required")
 def test_comet_logger_init_args():
     _test_logger_init_args(
         "CometLogger",
-        {
-            "save_dir": "comet",  # Resolve from CometLogger.__init__
-            "workspace": "comet",  # Resolve from Comet{,Existing,Offline}Experiment.__init__
-        },
+        init={"save_dir": "comet"},  # Resolve from CometLogger.__init__
+        unresolved={"workspace": "comet"},  # Resolve from Comet{,Existing,Offline}Experiment.__init__
     )
 
 
-@pytest.mark.skipif(not _NEPTUNE_AVAILABLE, reason="neptune is required")
 def test_neptune_logger_init_args():
     _test_logger_init_args(
         "NeptuneLogger",
-        {
-            "name": "neptune",  # Resolve from NeptuneLogger.__init__
-        },
-        {
-            "description": "neptune",  # Unsupported resolving from neptune.internal.init.run.init_run
-        },
+        init={"name": "neptune"},  # Resolve from NeptuneLogger.__init__
+        unresolved={"description": "neptune"},  # Unsupported resolving from neptune.internal.init.run.init_run
     )
 
 
 def test_tensorboard_logger_init_args():
     _test_logger_init_args(
         "TensorBoardLogger",
-        {
+        init={
             "save_dir": "tb",  # Resolve from TensorBoardLogger.__init__
             "comment": "tb",  # Resolve from FabricTensorBoardLogger.experiment SummaryWriter local import
         },
+        unresolved={},
     )
 
 
-@pytest.mark.skipif(not _WANDB_AVAILABLE, reason="wandb is required")
 def test_wandb_logger_init_args():
     _test_logger_init_args(
         "WandbLogger",
-        {
-            "save_dir": "wandb",  # Resolve from WandbLogger.__init__
-            "notes": "wandb",  # Resolve from wandb.sdk.wandb_init.init
-        },
+        init={"save_dir": "wandb"},  # Resolve from WandbLogger.__init__
+        unresolved={"notes": "wandb"},  # Resolve from wandb.sdk.wandb_init.init
     )