gpu 버전 = 실수
nvidia
cuda 설치

cmd => nvidia-smi로 확인














만약 gpu가 없으면 쿠다는 다운받지말고 cpu 버전을 찾아서 해라
test
import torch
print('pytorch version : ', torch.__version__)
#pytorch version : 2.6.0+cu126
print('CUDA available :', torch.cuda.is_available())
#CUDA available : True
if torch.cuda.is_available():
print('CUDA version : ', torch.version.cuda)
print('cuDNN version : ', torch.backends.cudnn.version())
print('GPU name : ', torch.cuda.get_device_name(0))
print('GPU count : ', torch.cuda.device_count())
a = torch.rand(3,3).cuda()
b = torch.rand(3,3).cuda()
c = torch.matmul(a, b)
print('\n GPU matrix multiply success')
print(c)
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