precommit: isort (#5493)

* precommit: isort

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

for more information, see https://pre-commit.ci

* Update isort config

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

for more information, see https://pre-commit.ci

* Update name

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

train.py

@@ -23,7 +23,7 @@ import torch.nn as nn
 import yaml
 from torch.cuda import amp
 from torch.nn.parallel import DistributedDataParallel as DDP
-from torch.optim import Adam, SGD, lr_scheduler
+from torch.optim import SGD, Adam, lr_scheduler
 from tqdm import tqdm
 
 FILE = Path(__file__).resolve()
@@ -37,19 +37,20 @@ from models.experimental import attempt_load
 from models.yolo import Model
 from utils.autoanchor import check_anchors
 from utils.autobatch import check_train_batch_size
-from utils.datasets import create_dataloader
-from utils.general import labels_to_class_weights, increment_path, labels_to_image_weights, init_seeds, \
-    strip_optimizer, get_latest_run, check_dataset, check_git_status, check_img_size, check_requirements, \
-    check_file, check_yaml, check_suffix, print_args, print_mutation, one_cycle, colorstr, methods, LOGGER
-from utils.downloads import attempt_download
-from utils.loss import ComputeLoss
-from utils.plots import plot_labels, plot_evolve
-from utils.torch_utils import EarlyStopping, ModelEMA, de_parallel, intersect_dicts, select_device, \
-    torch_distributed_zero_first
-from utils.loggers.wandb.wandb_utils import check_wandb_resume
-from utils.metrics import fitness
-from utils.loggers import Loggers
 from utils.callbacks import Callbacks
+from utils.datasets import create_dataloader
+from utils.downloads import attempt_download
+from utils.general import (LOGGER, check_dataset, check_file, check_git_status, check_img_size, check_requirements,
+                           check_suffix, check_yaml, colorstr, get_latest_run, increment_path, init_seeds,
+                           labels_to_class_weights, labels_to_image_weights, methods, one_cycle, print_args,
+                           print_mutation, strip_optimizer)
+from utils.loggers import Loggers
+from utils.loggers.wandb.wandb_utils import check_wandb_resume
+from utils.loss import ComputeLoss
+from utils.metrics import fitness
+from utils.plots import plot_evolve, plot_labels
+from utils.torch_utils import (EarlyStopping, ModelEMA, de_parallel, intersect_dicts, select_device,
+                               torch_distributed_zero_first)
 
 LOCAL_RANK = int(os.getenv('LOCAL_RANK', -1))  # https://pytorch.org/docs/stable/elastic/run.html
 RANK = int(os.getenv('RANK', -1))