def Get_GpuInfo(deviceCount):
gpu_dict = {}
tmp_dict = {}
for i in range(0, deviceCount):
tmp_dict = {}
handle = pn.nvmlDeviceGetHandleByIndex(i) #获得某一个ID 的gpu句柄
pciInfo = pn.nvmlDeviceGetPciInfo(handle) #检索此设备的PCI属性
gpu_id= pciInfo.busId
product_name=pn.nvmlDeviceGetName(handle) #检索此设备名称
try:
mode=pn.nvmlDeviceGetPersistenceMode(handle) #检索与此设备关联的持久性模式,0:Disable
except pn.NVMLError, err:
mode='NA'
try:
Current_driver_model = pn.nvmlDeviceGetCurrentDriverModel(handle) #检索当前驱动模式
except pn.NVMLError, err:
Current_driver_model='NA'
def pci_info(ngpus, handles):
pci_info = [pynvml.nvmlDeviceGetPciInfo(handles[i]) for i in range(ngpus)]
assert len(pci_info) == ngpus
return pci_info
def get_gpu_info(handle):
"""Get one GPU information specified by nvml handle"""
def get_process_info(pid):
"""Get the process information of specific pid"""
process = {}
ps_process = psutil.Process(pid=pid)
process['username'] = ps_process.username()
# cmdline returns full path; as in `ps -o comm`, get short cmdnames.
_cmdline = ps_process.cmdline()
if not _cmdline: # sometimes, zombie or unknown (e.g. [kworker/8:2H])
process['command'] = '?'
else:
process['command'] = os.path.basename(_cmdline[0])
# Bytes to MBytes
process['gpu_memory_usage'] = int(nv_process.usedGpuMemory / 1024 /
1024)
process['pid'] = nv_process.pid
return process
def _decode(b):
if isinstance(b, bytes):
return b.decode() # for python3, to unicode
return b
name = _decode(N.nvmlDeviceGetName(handle))
uuid = _decode(N.nvmlDeviceGetUUID(handle))
try:
minor = int(N.nvmlDeviceGetMinorNumber(handle))
except N.NVMLError:
minor = None # Not supported
try:
bus_id = _decode(N.nvmlDeviceGetPciInfo(handle).busId)
except N.NVMLError:
bus_id = None # Not supported
try:
serial = _decode(N.nvmlDeviceGetSerial(handle))
except N.NVMLError:
serial = None # Not supported
try:
temperature = N.nvmlDeviceGetTemperature(handle,
N.NVML_TEMPERATURE_GPU)
except N.NVMLError:
temperature = None # Not supported
try:
memory = N.nvmlDeviceGetMemoryInfo(handle) # in Bytes
except N.NVMLError:
memory = None # Not supported
try:
utilization = N.nvmlDeviceGetUtilizationRates(handle)
except N.NVMLError:
utilization = None # Not supported
try:
power = N.nvmlDeviceGetPowerUsage(handle)
except (N.NVMLError, N.NVMLError_NotSupported):
power = None
try:
power_limit = N.nvmlDeviceGetEnforcedPowerLimit(handle)
except (N.NVMLError, N.NVMLError_NotSupported):
power_limit = None
processes = []
try:
nv_comp_processes = N.nvmlDeviceGetComputeRunningProcesses(handle)
except N.NVMLError:
nv_comp_processes = None # Not supported
try:
nv_graphics_processes = N.nvmlDeviceGetGraphicsRunningProcesses(
handle)
except N.NVMLError:
nv_graphics_processes = None # Not supported
if nv_comp_processes is None and nv_graphics_processes is None:
processes = None # Not supported (in both cases)
else:
nv_comp_processes = nv_comp_processes or []
nv_graphics_processes = nv_graphics_processes or []
for nv_process in (nv_comp_processes + nv_graphics_processes):
# TODO: could be more information such as system memory usage,
# CPU percentage, create time etc.
try:
process = get_process_info(nv_process.pid)
processes.append(process)
except psutil.NoSuchProcess:
# TODO: add some reminder for NVML broken context
# e.g. nvidia-smi reset or reboot the system
pass
gpu_info = {
'index': index,
'uuid': uuid,
'name': name,
'minor': minor,
'bus_id': bus_id,
'serial': serial,
'temperature_gpu': temperature,
'utilization_gpu': utilization.gpu if utilization else None,
'power_draw': int(power / 1000) if power is not None else None,
'power_limit':
int(power_limit / 1000) if power is not None else None,
'memory_free': int(memory.free) if memory else None,
'memory_used': int(memory.used) if memory else None,
'memory_total': int(memory.total) if memory else None,
'memory_utilization': utilization.memory if utilization else None,
'processes': processes,
}
return gpu_info
