Comments (2)
Thanks for your feedback. This issue is caused by our toolkit utilizing the GPU (if validated) in default. We will try to set the environment in command line in the future version, in which you can use GPU/CPU as you like.
Here, we give out a simple approach for you to run our toolkit in CPU by the following code:
CUDA_VISIBLE_DEVICES=-1 python run_crslab.py --config config/crs/kgsf/redial.yaml
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We have added gpu
argument in run_crslab.py
, which specifies GPU id(s) to use(only supports using a single GPU now) and it defaults to use cpu.
So now you only need to run our toolkit in CPU by the following code:
python run_crslab.py --config config/crs/kgsf/redial.yaml
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Related Issues (20)
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