test cuda pytorch
import torch
torch.cuda.is_available()
>>> True
torch.cuda.current_device()
>>> 0
torch.cuda.device(0)
>>> <torch.cuda.device at 0x7efce0b03be0>
torch.cuda.device_count()
>>> 1
torch.cuda.get_device_name(0)
>>> 'GeForce GTX 950M'install pytorch for cuda 10.0
# CUDA 10.2
pip install torch==1.6.0 torchvision==0.7.0
# CUDA 10.1
pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html
# CUDA 9.2
pip install torch==1.6.0+cu92 torchvision==0.7.0+cu92 -f https://download.pytorch.org/whl/torch_stable.html
# CPU only
pip install torch==1.6.0+cpu torchvision==0.7.0+cpu -f https://download.pytorch.org/whl/torch_stable.htmlCopyright © 2021 Codeinu
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