下面是完整的Python代码: importpsutilimportmatplotlib.pyplotaspltdefget_gpu_memory_usage():gpu_memory=psutil.virtual_memory().usedreturngpu_memory memory_usage_list=[]whileTrue:memory_usage=get_gpu_memory_usage()memory_usage_list.append(memory_usage)plt.plot(memory_usage_list)plt.xlabel('Time')pl...
importtorchdefget_gpu_memory_usage():''' 获取当前GPU的显存使用情况 '''gpu_usage=torch.cuda.memory_allocated()/1024**3# 显存使用量(GB)gpu_allocated=torch.cuda.memory_allocated()/1024**3# 显存分配量(GB)gpu_cached=torch.cuda.memory_cached()/1024**3# 显存缓存量(GB)returngpu_usage,gpu_a...
编写Python脚本来获取GPU显存占用: python import GPUtil def check_gpu_usage(): gpus = GPUtil.getGPUs() for gpu in gpus: print(f"GPU {gpu.id}:") print(f" Memory Used: {gpu.memoryUsed} MB") print(f" Memory Utilization: {gpu.memoryUtil * 100:.2f}%") check_gpu_usage() 这段代码...
gpu = {"gpu_name": nvmlDeviceGetName(handle).decode('utf-8'),"total": memory_info.total,"free": memory_info.free,"used": memory_info.used,"temperature":f"{nvmlDeviceGetTemperature(handle,0)}℃","powerStatus": nvmlDeviceGetPowerState(handle) } nvidia_dict['gpus'].append(gpu)exceptNV...
GUsage = round(int(data2[0]) / int(data2[1]) * 100, 3) # round(i,j)给i取j位小数,X100,转化为百分比 print('GUsage2:', GUsage) else: print("GUsage获取失败,可能获取GPU命令不适用于被测机型") return GUsage def get_memory_Pss(self): ...
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===+===+===| | 0 NVIDIA GeForce ... Off | 00000000:01:00.0 N/A | N/A | | N/A 51C P8 N/A / N/...
在Python中,您可以使用库如GPUtil或者torch(如果使用PyTorch)来检查显存使用情况。使用GPUtil,您可以通过以下代码获取GPU的显存信息: import GPUtil gpus = GPUtil.getGPUs() for gpu in gpus: print(f"GPU ID: {gpu.id}, Memory Free: {gpu.memoryFree}MB, Memory Used: {gpu.memoryUsed}MB, Memory Total:...
第一种：CPU Usage: 0.0% importpsutil# 获取所有进程的列表forprocinpsutil.process_iter(['pid','...
import subprocess as sp import os def get_gpu_memory(): command = "nvidia-smi --query-gpu=memory.free --format=csv" memory_free_info = sp.check_output(command.split()).decode('ascii').split('\n')[:-1][1:] memory_free_values = [int(x.split()[0]) for i, x in enumerate(me...
---+|Processes:||GPUGICIPIDType Process nameGPUMemory||IDIDUsage||===||0N/AN/A1673G/usr/lib/xorg/Xorg 110MiB||0N/AN/A3015G/usr/lib/xorg/Xorg 661MiB||0N/AN/A3251G/usr/bin/gnome-shell 132MiB||0N/AN/A1142734G...AAAAAAAAA=--shared-files 64MiB||0N/...