when I set devices to 0, the train.py uses all GPUs

[jieruyao49]

❔Question

when I set devices to 0, the train.py uses all GPUs(There are nine GPUs),The training instructions are as follows:
python train.py --data /home/code/yolov5-master/data/coco128.yaml --cfg /home/code/yolov5-master/models/yolov5s.yaml --weights /home/code/yolov5-master/yolov5s.pt --batch-size 63 --device 1

My package as follows:
_libgcc_mutex 0.1 main https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
ca-certificates 2021.1.19 h06a4308_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
certifi 2020.12.5 py38h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cudatoolkit 10.1.243 h6bb024c_0
ld_impl_linux-64 2.33.1 h53a641e_7 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
libffi 3.3 he6710b0_2 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
libgcc-ng 9.1.0 hdf63c60_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
libstdcxx-ng 9.1.0 hdf63c60_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
ncurses 6.2 he6710b0_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
numpy 1.20.2
openssl 1.1.1k h27cfd23_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
Pillow 8.2.0
pip 21.0.1 py38h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
python 3.8.8 hdb3f193_4 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
readline 8.1 h27cfd23_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
setuptools 52.0.0 py38h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
sqlite 3.35.4 hdfb4753_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
tk 8.6.10 hbc83047_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
torch 1.7.1+cu101
torchvision 0.8.2
typing-extensions 3.7.4.3
wheel 0.36.2 pyhd3eb1b0_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
xz 5.2.5 h7b6447c_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
zlib 1.2.11 h7b6447c_3 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

absl-py 0.12.0
cachetools 4.2.1
certifi 2020.12.5
chardet 4.0.0
cycler 0.10.0
Cython 0.29.22
google-auth 1.28.1
google-auth-oauthlib 0.4.4
greenlet 1.0.0
grpcio 1.37.0
idna 2.10
kiwisolver 1.3.1
Markdown 3.3.4
matplotlib 3.3.4
mkl-fft 1.3.0
mkl-random 1.1.1
mkl-service 2.3.0
numpy 1.20.2
oauthlib 3.1.0
olefile 0.46
opencv-python 4.5.1.48
pandas 1.2.3
Pillow 8.2.0
pip 21.0.1
protobuf 3.15.8
pyasn1 0.4.8
pyasn1-modules 0.2.8
pycairo 1.19.1
pycocotools 2.0.2
pyparsing 2.4.7
python-dateutil 2.8.1
pytz 2021.1
PyYAML 5.4.1
reportlab 3.5.66
requests 2.25.1
requests-oauthlib 1.3.0
rsa 4.7.2
scipy 1.6.2
seaborn 0.11.1
setuptools 52.0.0.post20210125
six 1.15.0
SQLAlchemy 1.4.5
tensorboard 2.4.1
tensorboard-plugin-wit 1.8.0
thop 0.0.31.post2005241907
torch 1.7.1+cu101
torchvision 0.8.2
tornado 6.1
tqdm 4.60.0
typing-extensions 3.7.4.3
urllib3 1.26.4
Werkzeug 1.0.1
wheel 0.36.2

[github-actions]

👋 Hello @jieruyao49, thank you for your interest in 🚀 YOLOv5! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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[glenn-jocher]

@jieruyao49 this should be fixed in PR #2750 a few days ago. Please git pull or reclone and try again, thank you!

[jieruyao49]

@jieruyao49 this should be fixed in PR #2750 a few days ago. Please git pull or reclone and try again, thank you!

thanks,when i download the new code, i solved it