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Refactor NUM_THREADS (#5954)

pull/5948/head
Glenn Jocher 2021-12-11 14:32:18 +01:00 committed by GitHub
parent 2c6317547a
commit 8f875d93a2
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2 changed files with 7 additions and 7 deletions
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5
utils/datasets.py
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@ -26,8 +26,8 @@ from torch.utils.data import DataLoader, Dataset, dataloader, distributed
from tqdm import tqdm
from utils.augmentations import Albumentations, augment_hsv, copy_paste, letterbox, mixup, random_perspective
from utils.general import (LOGGER, check_dataset, check_requirements, check_yaml, clean_str, segments2boxes, xyn2xy,
xywh2xyxy, xywhn2xyxy, xyxy2xywhn)
from utils.general import (LOGGER, NUM_THREADS, check_dataset, check_requirements, check_yaml, clean_str,
segments2boxes, xyn2xy, xywh2xyxy, xywhn2xyxy, xyxy2xywhn)
from utils.torch_utils import torch_distributed_zero_first
# Parameters
@ -35,7 +35,6 @@ HELP_URL = 'https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data'
IMG_FORMATS = ['bmp', 'jpg', 'jpeg', 'png', 'tif', 'tiff', 'dng', 'webp', 'mpo'] # acceptable image suffixes
VID_FORMATS = ['mov', 'avi', 'mp4', 'mpg', 'mpeg', 'm4v', 'wmv', 'mkv'] # acceptable video suffixes
WORLD_SIZE = int(os.getenv('WORLD_SIZE', 1)) # DPP
NUM_THREADS = min(8, max(1, os.cpu_count() - 1)) # number of multiprocessing threads
# Get orientation exif tag
for orientation in ExifTags.TAGS.keys():

9
utils/general.py
View File

@ -33,14 +33,15 @@ from utils.downloads import gsutil_getsize
from utils.metrics import box_iou, fitness
# Settings
FILE = Path(__file__).resolve()
ROOT = FILE.parents[1] # YOLOv5 root directory
NUM_THREADS = min(8, max(1, os.cpu_count() - 1)) # number of YOLOv5 multiprocessing threads
torch.set_printoptions(linewidth=320, precision=5, profile='long')
np.set_printoptions(linewidth=320, formatter={'float_kind': '{:11.5g}'.format}) # format short g, %precision=5
pd.options.display.max_columns = 10
cv2.setNumThreads(0) # prevent OpenCV from multithreading (incompatible with PyTorch DataLoader)
os.environ['NUMEXPR_MAX_THREADS'] = str(min(os.cpu_count(), 8)) # NumExpr max threads
FILE = Path(__file__).resolve()
ROOT = FILE.parents[1] # YOLOv5 root directory
os.environ['NUMEXPR_MAX_THREADS'] = str(NUM_THREADS) # NumExpr max threads
def set_logging(name=None, verbose=True):