def get_gpu_info_by_nvml(self) -> Dict:
"""Get GPU info using nvml"""
gpu_info_list = []
driver_version = None
try:
nvmlInit()
driver_version = nvmlSystemGetDriverVersion()
deviceCount = nvmlDeviceGetCount()
for i in range(deviceCount):
handle = nvmlDeviceGetHandleByIndex(i)
info = nvmlDeviceGetMemoryInfo(handle)
gpu_info = {}
gpu_info["memory_total"] = info.total
gpu_info["memory_available"] = info.free
gpu_info["name"] = nvmlDeviceGetName(handle)
gpu_info_list.append(gpu_info)
nvmlShutdown()
except NVMLError as error:
if not self.silent:
self.logger.error(
"Error fetching GPU information using nvml: %s", error)
return None
result = {"driver_version": driver_version, "devices": gpu_info_list}
if 'CUDA_VISIBLE_DEVICES' in environ:
result["cuda_visible"] = environ['CUDA_VISIBLE_DEVICES']
return result
def get_gpu_info() -> Tuple[Optional[str], Optional[List[GpuInfo]]]:
"""
Get driver version and list of ``GpuInfo``, if available.
"""
try:
nvml.nvmlInit()
except nvml.NVMLError:
# Not available.
return None, None
driver_version: str = nvml.nvmlSystemGetDriverVersion()
gpus: List[GpuInfo] = []
device_count: int = nvml.nvmlDeviceGetCount()
for i in range(device_count):
handle = nvml.nvmlDeviceGetHandleByIndex(i)
name = try_get_info(nvml.nvmlDeviceGetName, handle)
fan_speed = try_get_info(nvml.nvmlDeviceGetFanSpeed, handle, default=0)
temp = try_get_info(
lambda h: nvml.nvmlDeviceGetTemperature(h, nvml.
NVML_TEMPERATURE_GPU),
handle,
default=0,
)
mem_info = try_get_info(nvml.nvmlDeviceGetMemoryInfo, handle)
if mem_info:
mem_used = mem_info.used >> 20
mem_total = mem_info.total >> 20
else:
mem_used = 0
mem_total = 0
util = try_get_info(nvml.nvmlDeviceGetUtilizationRates, handle)
if util:
gpu_util = util.gpu
else:
gpu_util = 0
gpus.append(
GpuInfo(
id=i,
name=name,
mem_usage=mem_used,
mem_capacity=mem_total,
utilization=gpu_util,
temp=temp,
fan=fan_speed,
))
nvml.nvmlShutdown()
return driver_version, gpus
def test_nvidia():
# pip install py3nvml
import py3nvml
from py3nvml import py3nvml as nvml
inspect(py3nvml.get_free_gpus())
nvml.nvmlInit()
inspect(version=nvml.nvmlSystemGetDriverVersion())
inspect(count=nvml.nvmlDeviceGetCount())
for i in range(nvml.nvmlDeviceGetCount()):
test_nvidia_device(i)
nvml.nvmlShutdown()
def __init__(self):
self.labels = ['gpu', 'name', 'driver']
self.driver = nv.nvmlSystemGetDriverVersion()
self.n_gpu = nv.nvmlDeviceGetCount()
self.hnds = [
nv.nvmlDeviceGetHandleByIndex(i) for i in range(self.n_gpu)
]
self.args = []
for i, hnd in enumerate(self.hnds):
args = OrderedDict()
args['gpu'] = 'gpu%d' % i
args['name'] = nv.nvmlDeviceGetName(hnd)
args['driver'] = self.driver
self.args.append(args)
def gpu_status():
try:
py3nvml.nvmlInit()
device_count = py3nvml.nvmlDeviceGetCount()
devices = []
for i in range(device_count):
gpu = {}
handle = py3nvml.nvmlDeviceGetHandleByIndex(i)
memory = _nmvl_call(
partial(py3nvml.nvmlDeviceGetMemoryInfo, handle))
if memory:
memory = round(memory.total * 1.0 / 2**30, 2)
gpu['name'] = _nmvl_call(partial(py3nvml.nvmlDeviceGetName,
handle))
gpu['clock'] = _nmvl_call(
partial(py3nvml.nvmlDeviceGetApplicationsClock, handle,
py3nvml.NVML_CLOCK_GRAPHICS))
gpu['clock_mem'] = _nmvl_call(
partial(py3nvml.nvmlDeviceGetApplicationsClock, handle,
py3nvml.NVML_CLOCK_MEM))
gpu['clock_max'] = _nmvl_call(
partial(py3nvml.nvmlDeviceGetMaxClockInfo, handle,
py3nvml.NVML_CLOCK_GRAPHICS))
gpu['clock_mem_max'] = _nmvl_call(
partial(py3nvml.nvmlDeviceGetMaxClockInfo, handle,
py3nvml.NVML_CLOCK_MEM))
gpu['memory'] = memory
devices.append(gpu)
nvidia = {
'driver_version': py3nvml.nvmlSystemGetDriverVersion(),
'devices': devices
}
return nvidia
except Exception as e:
return None
def __init__(self):
py3nvml.nvmlInit()
self.driver_version = py3nvml.nvmlSystemGetDriverVersion()
self.gpus = GpuList()
self.update()
#!/usr/bin/env python3
# need package: py3nvml
# if you use python 2, you need nvidia-ml-py and change the import
from __future__ import print_function
# import pynvml
import py3nvml.py3nvml as pynvml
import datetime
pynvml.nvmlInit()
print("Driver Version:", pynvml.nvmlSystemGetDriverVersion())
deviceCount = pynvml.nvmlDeviceGetCount()
for i in range(deviceCount):
handle = pynvml.nvmlDeviceGetHandleByIndex(i)
print("Device {}: {}".format(i, pynvml.nvmlDeviceGetName(handle)))
pynvml.nvmlShutdown()
def _get_driver_version():
return {'driver_version': pynvml.nvmlSystemGetDriverVersion()}
def getGpuInfo(self):
if (self._impulse % 2) != 0:
return self._gpuInfoObj
try:
N.nvmlInit()
gpuInfoObj = {}
driverVersion = N.nvmlSystemGetDriverVersion()
deviceCnt = N.nvmlDeviceGetCount()
gpuInfoObj['DRIVER_VERSION'] = driverVersion
gpuInfoObj['DEVICE_COUNT'] = deviceCnt
for dCnt in range(deviceCnt):
deviceInfoObj = {}
handle = N.nvmlDeviceGetHandleByIndex(dCnt)
name = N.nvmlDeviceGetName(handle)
try:
fan = N.nvmlDeviceGetFanSpeed(handle)
except N.NVMLError as err:
fan = 'N/A'
try:
temp = N.nvmlDeviceGetTemperature(handle, N.NVML_TEMPERATURE_GPU)
except N.NVMLError as err:
temp = 'N/A'
try:
powerUsage = round(N.nvmlDeviceGetPowerUsage(handle) / 1000)
except N.NVMLError as err:
powerUsage = 'N/A'
try:
powerLimit = round(N.nvmlDeviceGetPowerManagementLimit(handle) / 1000)
except N.NVMLError as err:
powerLimit = 'N/A'
try:
memInfo = N.nvmlDeviceGetMemoryInfo(handle)
memUsage = round(memInfo.used/1024/1024)
memTotal = round(memInfo.total/1024/1024)
except N.NVMLError as err:
memUsage = 'N/A'
memTotal = 'N/A'
try:
util = N.nvmlDeviceGetUtilizationRates(handle).gpu
except N.NVMLError as err:
util = 'N/A'
deviceInfoObj['NAME'] = name
deviceInfoObj['FAN'] = fan
deviceInfoObj['TEMP'] = temp
deviceInfoObj['POWER_USAGE'] = powerUsage
deviceInfoObj['POWER_LIMIT'] = powerLimit
deviceInfoObj['MEM_USAGE'] = memUsage
deviceInfoObj['MEM_TOTAL'] = memTotal
deviceInfoObj['UTIL'] = util
gpuProcessObj = {}
try:
processes = N.nvmlDeviceGetComputeRunningProcesses(handle)
except N.NVMLError as err:
processes = []
for pCnt, process in enumerate(processes):
gpuMem = round(process.usedGpuMemory / 1024 / 1024)
pid = process.pid
try:
p = psutil.Process(pid)
attrs = p.as_dict(attrs = ['name', 'username', 'status'])
except psutil.ZombieProcess:
attrs = {'name': 'unknown', 'username': '******', 'status': 'zombie'}
except:
pass
gpuProcessObj[str(pCnt)] = {
'PID': pid,
'MEM': gpuMem,
'NAME': attrs['name'],
'USERNAME': self._getSubuidName(attrs['username']),
'STATUS': attrs['status']
}
deviceInfoObj['PROCESS'] = gpuProcessObj
gpuInfoObj[str(dCnt)] = deviceInfoObj
N.nvmlShutdown()
except N.NVMLError as err:
N.nvmlShutdown()
print(err)
gpuInfoObj = {}
self._gpuInfoObj = gpuInfoObj
return gpuInfoObj
