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ultralytics 8.0.56 PyTorch 2.0 support and minor fixes (#1538)

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Co-authored-by: N-Friederich <127681326+N-Friederich@users.noreply.github.com>
Co-authored-by: Uhrendoktor <36703334+Uhrendoktor@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: Aman Agarwal <amanag.11@gmail.com>
Co-authored-by: ExtReMLapin <3909752+ExtReMLapin@users.noreply.github.com>
Co-authored-by: Nadav Eidelstein <30617226+nodeav@users.noreply.github.com>
This commit is contained in:
Glenn Jocher
2023-03-24 00:22:20 +01:00
committed by GitHub
parent 8c8c43922c
commit 28e48be5b6
18 changed files with 149 additions and 88 deletions
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2
ultralytics/yolo/utils/__init__.py
View File

@ -445,7 +445,7 @@ def get_user_config_dir(sub_dir='Ultralytics'):
return path
USER_CONFIG_DIR = get_user_config_dir() # Ultralytics settings dir
USER_CONFIG_DIR = os.getenv('YOLO_CONFIG_DIR', get_user_config_dir()) # Ultralytics settings dir
def emojis(string=''):

5
ultralytics/yolo/utils/checks.py
View File

@ -21,7 +21,7 @@ import torch
from matplotlib import font_manager
from ultralytics.yolo.utils import (AUTOINSTALL, LOGGER, ONLINE, ROOT, USER_CONFIG_DIR, TryExcept, colorstr, downloads,
emojis, is_colab, is_docker, is_jupyter, is_online, is_pip_package)
emojis, is_colab, is_docker, is_kaggle, is_online, is_pip_package)
def is_ascii(s) -> bool:
@ -292,8 +292,7 @@ def check_yaml(file, suffix=('.yaml', '.yml'), hard=True):
def check_imshow(warn=False):
# Check if environment supports image displays
try:
assert not is_jupyter()
assert not is_docker()
assert not any((is_colab(), is_kaggle(), is_docker()))
cv2.imshow('test', np.zeros((1, 1, 3)))
cv2.waitKey(1)
cv2.destroyAllWindows()

4
ultralytics/yolo/utils/torch_utils.py
View File

@ -27,6 +27,7 @@ WORLD_SIZE = int(os.getenv('WORLD_SIZE', 1))
TORCH_1_9 = check_version(torch.__version__, '1.9.0')
TORCH_1_11 = check_version(torch.__version__, '1.11.0')
TORCH_1_12 = check_version(torch.__version__, '1.12.0')
TORCH_2_X = check_version(torch.__version__, minimum='2.0')
@contextmanager
@ -95,7 +96,8 @@ def select_device(device='', batch=0, newline=False, verbose=True):
p = torch.cuda.get_device_properties(i)
s += f"{'' if i == 0 else space}CUDA:{d} ({p.name}, {p.total_memory / (1 << 20):.0f}MiB)\n" # bytes to MB
arg = 'cuda:0'
elif mps and getattr(torch, 'has_mps', False) and torch.backends.mps.is_available(): # prefer MPS if available
elif mps and getattr(torch, 'has_mps', False) and torch.backends.mps.is_available() and TORCH_2_X:
# prefer MPS if available
s += 'MPS\n'
arg = 'mps'
else: # revert to CPU