tuoheng_alg_move_20240715/test/gputest.py

import os
import pynvml
pynvml.nvmlInit()


# 安装 pip install nvidia-ml-py3
def usegpu(need_gpu_count=1):

    nouse=[]
    for index in range(pynvml.nvmlDeviceGetCount()):
        # 这里的0是GPU id
        handle = pynvml.nvmlDeviceGetHandleByIndex(index)
        meminfo = pynvml.nvmlDeviceGetMemoryInfo(handle)
        used= meminfo.used/meminfo.total
        print(meminfo.used)
        print(meminfo.total)
        if used < 0.8:
            nouse.append(index)
    if len(nouse) >= need_gpu_count:
        os.environ["CUDA_VISIBLE_DEVICES"] = ','.join(map(str, nouse[:need_gpu_count]))
        return nouse[:need_gpu_count]
    elif len(nouse)>0:
        os.environ["CUDA_VISIBLE_DEVICES"] = ','.join(map(str, nouse))
        return len(nouse)
    else:
        return 0

if __name__ == '__main__':
    gpus=usegpu(need_gpu_count=2)
    print(gpus)
    if gpus:
        print("use gpu ok")
    else:
        print("no gpu is valid")