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        "description": "# gpuinfo\n\nI implement some functions that can help users to obtain nvidia gpu information.\n\nTo use gpuinfo, you need to be able to run 'ps' and 'nvidia-smi' in your terminal. \n\n# Install with pip\n```\npip install gpuinfo\n```  \nI only tested on linux system with python3.\nhttps://pypi.org/project/gpuinfo/\n\n# Usage\n\n```python\nfrom gpuinfo import GPUInfo\n```\n\nGPUInfo has the following functions:\n\n    get_users(gpu_id)\n        return a dict. show every user and memory on a certain gpu \n\n    check_empty()\n        check_empty()\n        return a list containing all GPU ids that no process is using currently.\n\n    get_info()\n        pid_list,percent,memory,gpu_used=get_info()\n        return a dict and three lists. pid_list has pids as keys and gpu ids as values, showing which gpu the process is using\n\n    get_user(pid)\n        get_user(pid)\n        Input a pid number , return its creator by linux command ps\n\n    gpu_usage()\n        gpu_usage()\n        return two lists. The first list contains usage percent of every GPU. The second list contains the memory used of every GPU. The information is obtained by command 'nvidia-smi'\n\n# Example\n\n```python\nfrom gpuinfo import GPUInfo\n\navailable_device=GPUInfo.check_empty()\n#available_device\u5c31\u662f\u4e00\u4e2a\u542b\u6709\u6240\u6709\u6ca1\u6709\u4efb\u52a1\u7684gpu\u7f16\u53f7\u7684\u5217\u8868\npercent,memory=GPUInfo.gpu_usage()\n#\u83b7\u5f97\u6240\u6709gpu\u7684\u4f7f\u7528\u767e\u5206\u6bd4\u548c\u663e\u5b58\u5360\u7528\u91cf\nmin_percent=percent.index(min([percent[i] for i in available_device]))\n#\u672a\u88ab\u4f7f\u7528\u7684gpu\u91ccpercent\u6700\u5c0f\u7684\nmin_memory=memory.index(min([memory[i] for i in available_device]))\n#\u672a\u88ab\u4f7f\u7528\u7684gpu\u91cc\u663e\u5b58\u5360\u7528\u91cf\u6700\u5c11\u7684\n\n#\u5982\u679c\u4f60\u4f7f\u7528pytorch\ntorch.cuda.set_device(min_percent) \u6216\u8005(min_memory)\n```\n\n\n",
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