gpu.py

import os
import time
import wandb
import nvidia_smi
import os
import time
import threading
import wandb
os.system("pip install nvidia-ml-py3")
# WandB登录
os.system('wandb login 6cdd066d56acd416b1c1680133e37589511d81f7')
nvidia_smi.nvmlInit()
# 初始化WandB项目
wandb.init(project="GPU-使用率-温度检测")
def monitor_gpu():
    start_thread = threading.Thread(target=start)
    start_thread.start()
    while True:
        try:
            # 获取 GPU 温度
            handle = nvidia_smi.nvmlDeviceGetHandleByIndex(0)  # 0 表示第一个 GPU
            gpu_temperature = nvidia_smi.nvmlDeviceGetTemperature(handle, nvidia_smi.NVML_TEMPERATURE_GPU)

            # 获取 GPU 使用率
            utilization = nvidia_smi.nvmlDeviceGetUtilizationRates(handle)
            gpu_usage = utilization.gpu

            # 使用 WandB 记录 GPU 温度和使用率
            wandb.log({"GPU 温度": gpu_temperature, "GPU 使用率": gpu_usage})

        except Exception as e:
            print(f"Error: {e}")

        time.sleep(60)
monitor_gpu()