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是这样的,我的服务器上有四张T4卡,但是使用paddleocr推理时只用了0号卡,其余几张卡都是空闲状态,环境变量设置了export CUDA_VISIBLE_DEVICES=0,1,2,3,请问要怎样才能利用所用GPU?麻烦大佬解答一下。
export CUDA_VISIBLE_DEVICES=0,1,2,3
The text was updated successfully, but these errors were encountered:
推力一般用不到。不过可以试试多卡训练的方式。比如:
python3 -m paddle.distributed.launch --ips="xx.xx.xx.xx,xx.xx.xx.xx" --gpus '0,1,2,3' tools/train.py -c configs/det/det_mv3_db.yml \ -o Global.pretrained_model=./pretrain_models/MobileNetV3_large_x0_5_pretrained
https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/doc/doc_ch/detection.md
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以上回答已经充分解答了问题,如果有新的问题欢迎随时提交issue,或者在此条issue下继续回复~ 我们开启了飞桨套件的ISSUE攻关活动,欢迎感兴趣的开发者参加:PaddlePaddle/PaddleOCR#10223
tink2123
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是这样的,我的服务器上有四张T4卡,但是使用paddleocr推理时只用了0号卡,其余几张卡都是空闲状态,环境变量设置了
export CUDA_VISIBLE_DEVICES=0,1,2,3
,请问要怎样才能利用所用GPU?麻烦大佬解答一下。The text was updated successfully, but these errors were encountered: