Fix isort failures in utilities

pyproject.toml

@@ -65,10 +65,6 @@ skip_glob = [
 
     # todo
     "pytorch_lightning/tuner/*",
-
-
-    # todo
-    "pytorch_lightning/utilities/*",
 ]
 profile = "black"
 line_length = 120

pytorch_lightning/utilities/__init__.py

@@ -22,31 +22,25 @@
     rank_zero_only,
     rank_zero_warn,
 )
-from pytorch_lightning.utilities.enums import (  # noqa: F401
-    LightningEnum,
-    AMPType,
-    DistributedType,
-    DeviceType,
-)
+from pytorch_lightning.utilities.enums import AMPType, DeviceType, DistributedType, LightningEnum  # noqa: F401
 from pytorch_lightning.utilities.imports import (  # noqa: F401
     _APEX_AVAILABLE,
-    _NATIVE_AMP_AVAILABLE,
-    _XLA_AVAILABLE,
-    _OMEGACONF_AVAILABLE,
-    _HYDRA_AVAILABLE,
-    _HOROVOD_AVAILABLE,
-    _TORCHTEXT_AVAILABLE,
+    _BOLTS_AVAILABLE,
     _FAIRSCALE_AVAILABLE,
-    _RPC_AVAILABLE,
-    _GROUP_AVAILABLE,
     _FAIRSCALE_PIPE_AVAILABLE,
-    _BOLTS_AVAILABLE,
+    _GROUP_AVAILABLE,
+    _HOROVOD_AVAILABLE,
+    _HYDRA_AVAILABLE,
     _module_available,
+    _NATIVE_AMP_AVAILABLE,
+    _OMEGACONF_AVAILABLE,
+    _RPC_AVAILABLE,
+    _TORCHTEXT_AVAILABLE,
+    _XLA_AVAILABLE,
 )
 from pytorch_lightning.utilities.parsing import AttributeDict, flatten_dict, is_picklable  # noqa: F401
 from pytorch_lightning.utilities.xla_device import XLADeviceUtils  # noqa: F401
 
-
 _TPU_AVAILABLE = XLADeviceUtils.tpu_device_exists()
 
 FLOAT16_EPSILON = numpy.finfo(numpy.float16).eps

pytorch_lightning/utilities/argparse.py

@@ -15,7 +15,8 @@
 import os
 from argparse import ArgumentParser, Namespace
 from contextlib import suppress
-from typing import Dict, Union, List, Tuple, Any
+from typing import Any, Dict, List, Tuple, Union
+
 from pytorch_lightning.utilities import parsing
 
 

pytorch_lightning/utilities/data.py

@@ -13,11 +13,12 @@
 # limitations under the License.
 
 from distutils.version import LooseVersion
+from typing import Union
+
 import torch
 from torch.utils.data import DataLoader, IterableDataset
 
 from pytorch_lightning.utilities import rank_zero_warn
-from typing import Union
 
 
 def has_iterable_dataset(dataloader: DataLoader):

pytorch_lightning/utilities/debugging.py

@@ -16,7 +16,7 @@
 import time
 from collections import Counter
 from functools import wraps
-from typing import Callable, Any, Optional
+from typing import Any, Callable, Optional
 
 
 def enabled_only(fn: Callable):

pytorch_lightning/utilities/device_dtype_mixin.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from typing import Union, Optional
+from typing import Optional, Union
 
 import torch
 from torch.nn import Module

pytorch_lightning/utilities/device_parser.py

@@ -11,8 +11,9 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+from typing import Any, List, MutableSequence, Optional, Union
+
 import torch
-from typing import Union, Any, List, Optional, MutableSequence
 
 from pytorch_lightning.utilities import _TPU_AVAILABLE
 from pytorch_lightning.utilities.exceptions import MisconfigurationException

pytorch_lightning/utilities/model_helpers.py

@@ -14,8 +14,8 @@
 
 from typing import Union
 
-from pytorch_lightning.core.lightning import LightningModule
 from pytorch_lightning.core.datamodule import LightningDataModule
+from pytorch_lightning.core.lightning import LightningModule
 
 
 def is_overridden(method_name: str, model: Union[LightningModule, LightningDataModule]) -> bool:

pytorch_lightning/utilities/parsing.py

@@ -15,7 +15,7 @@
 import inspect
 import pickle
 from argparse import Namespace
-from typing import Dict, Union, Tuple
+from typing import Dict, Tuple, Union
 
 from pytorch_lightning.utilities import rank_zero_warn