149 lines
4.9 KiB
Python
149 lines
4.9 KiB
Python
import platform
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import cpuinfo
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import psutil
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import torch
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import pynvml
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import comfy.model_management
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from ..core import logger
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class CStats:
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"""
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This is only class to get information from hardware.
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Specially for share it to other software.
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"""
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nvidia = False
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pynvmlLoaded = False
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cudaAvailable = False
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torchDevice = 'cpu'
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cudaDevice = 'cpu'
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cudaDevicesFound = 0
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switchCPU = False
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switchGPU = False
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switchHDD = False
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switchRAM = False
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switchVRAM = False
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def __init__(self, switchCPU=False, switchGPU=False, switchHDD=False, switchRAM=False, switchVRAM=False):
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self.switchCPU = switchCPU
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self.switchGPU = switchGPU
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self.switchHDD = switchHDD
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self.switchRAM = switchRAM
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self.switchVRAM = switchVRAM
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specName = 'CPU: ' + cpuinfo.get_cpu_info().get('brand_raw', "Unknown")
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specArch = 'Arch: ' + cpuinfo.get_cpu_info().get('arch_string_raw', "Unknown")
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specOs = 'OS: ' + str(platform.system()) + ' ' + str(platform.release())
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logger.info(f"{specName} - {specArch} - {specOs}")
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try:
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pynvml.nvmlInit()
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self.pynvmlLoaded = True
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except Exception as e:
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self.pynvmlLoaded = False
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logger.error('Could not init pynvml.' + str(e))
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self.diagnostic()
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def buildStatsData(self):
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cpu = -1
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ramTotal = -1
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ramUsed = -1
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ramUsedPercent = -1
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hddTotal = -1
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hddUsed = -1
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hddUsedPercent = -1
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gpuUtilization = -1
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vramUsed = -1
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vramTotal = -1
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vramPercent = -1
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if self.switchCPU:
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cpu = psutil.cpu_percent()
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if self.switchRAM:
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ram = psutil.virtual_memory()
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ramTotal = ram.total
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ramUsed = ram.used
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ramUsedPercent = ram.percent
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if self.switchHDD:
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hdd = psutil.disk_usage('/')
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hddTotal = hdd.total
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hddUsed = hdd.used
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hddUsedPercent = hdd.percent
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deviceType = 'cpu'
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gpus = []
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if self.cudaDevice == 'cpu':
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gpus.append({
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'gpu_utilization': -1,
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'vram_total': -1,
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'vram_used': -1,
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'vram_used_percent': -1,
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})
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else:
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deviceType = self.cudaDevice
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if self.pynvmlLoaded and self.nvidia and self.cudaAvailable:
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for deviceIndex in range(self.cudaDevicesFound):
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deviceHandle = pynvml.nvmlDeviceGetHandleByIndex(deviceIndex)
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# GPU Utilization
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if self.switchGPU:
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utilization = pynvml.nvmlDeviceGetUtilizationRates(deviceHandle)
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gpuUtilization = utilization.gpu
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# VRAM
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if self.switchVRAM:
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# Torch or pynvml?, pynvml is more accurate with the system, torch is more accurate with comfyUI
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memory = pynvml.nvmlDeviceGetMemoryInfo(deviceHandle)
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vramUsed = memory.used
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vramTotal = memory.total
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# device = torch.device(deviceType)
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# vramUsed = torch.cuda.memory_allocated(device)
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# vramTotal = torch.cuda.get_device_properties(device).total_memory
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vramPercent = vramUsed / vramTotal * 100
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gpus.append({
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'gpu_utilization': gpuUtilization,
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'vram_total': vramTotal,
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'vram_used': vramUsed,
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'vram_used_percent': vramPercent,
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})
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return {
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'cpu_utilization': cpu,
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'ram_total': ramTotal,
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'ram_used': ramUsed,
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'ram_used_percent': ramUsedPercent,
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'hdd_total': hddTotal,
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'hdd_used': hddUsed,
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'hdd_used_percent': hddUsedPercent,
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'device_type': deviceType,
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'gpus': gpus,
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}
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def diagnostic(self):
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if self.pynvmlLoaded and pynvml.nvmlDeviceGetCount() > 0:
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self.cudaDevicesFound = pynvml.nvmlDeviceGetCount()
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self.nvidia = True
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logger.info(f'NVIDIA Driver detected - {pynvml.nvmlSystemGetDriverVersion()} - {comfy.model_management.get_torch_device_name(comfy.model_management.get_torch_device())}')
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else:
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logger.warn('No NVIDIA GPU detected.')
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try:
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self.torchDevice = comfy.model_management.get_torch_device_name(comfy.model_management.get_torch_device())
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except Exception as e:
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logger.error('Could not pick default device.' + str(e))
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self.cudaDevice = 'cpu' if self.torchDevice == 'cpu' else 'cuda'
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self.cudaAvailable = torch.cuda.is_available()
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if self.nvidia and self.cudaAvailable and self.torchDevice == 'cpu':
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logger.warn('CUDA is available, but torch is using CPU.')
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