-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathgpudata.py
executable file
·491 lines (426 loc) · 18.3 KB
/
gpudata.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
"""Module for GPU Data
"""
from copy import deepcopy
from re import findall
from subprocess import run, PIPE, CalledProcessError
from psutil import sensors_fans
from pyamdgpuinfo import detect_gpus, get_gpu
from pynvml import nvmlInit, NVMLError, nvmlDeviceGetCount, nvmlDeviceGetHandleByIndex, \
nvmlDeviceGetName, nvmlDeviceGetPowerManagementLimit, nvmlShutdown, \
nvmlDeviceGetFanSpeed, nvmlDeviceGetTemperature, NVML_TEMPERATURE_GPU, \
nvmlDeviceGetPowerUsage, nvmlDeviceGetUtilizationRates, \
nvmlSystemGetDriverVersion, nvmlDeviceGetClock, NVML_CLOCK_GRAPHICS, \
NVML_CLOCK_ID_CURRENT, nvmlDeviceGetMemoryInfo
from stressmon.hwsensors import HWSensorBase
class GPUData(HWSensorBase):
"""Class to manage GPU Data.
This class inherits from HWSensorBase and provides functionality to collect and manage GPU
data such as temperature, clock speed, fan speed, power consumption, and utilization.
Attributes:
vendors (list): List of detected GPU vendors.
gpus (dict): Dictionary containing GPU data.
iteration (int): Counter for the number of data update iterations.
data (list): List of supported GPU data types.
lines (int): Number of lines needed for this data's curses window.
indexes (list): Indexes used for iteration.
"""
headings = ['Data', 'Current', 'Min', 'Max', 'Mean']
def __init__(self) -> None:
self.vendor_iter = None
self.name_iter = None
self.data_iter = None
self.current_vendor = None
self.current_name = None
self.vendors = []
self.gpus = {}
self.iteration = 1
self.data = ['temp', 'clock', 'fan_speed', 'power', 'memory', 'utilization']
handles = []
gpuinfos = []
self.lines = 1
nvidia_gpu_count = 0
amd_gpu_count = detect_gpus()
try:
nvmlInit()
self.vendors.append('nvidia')
nvidia_gpu_count = nvmlDeviceGetCount()
command = r'lspci -vvnn | grep -A 3 "\[0300\]" | grep -A 3 NVIDIA'
nvidia_gpu_data = run([command], shell=True, check=True, stdout=PIPE, stderr=PIPE)
nvidia_gpu_data = nvidia_gpu_data.stdout
nvidia_gpu_data = nvidia_gpu_data.decode('utf-8').split("\n--\n")
pattern = r"\[(\w{4}:\w{4})\]"
nvidia_subvens = []
for nvidia_gpu in nvidia_gpu_data:
result = findall(pattern=pattern, string=nvidia_gpu)
if len(result) > 1:
nvidia_subvens.append(result[1].split(":")[0])
else:
nvidia_subvens.append(None)
self.lines += 1
except NVMLError:
pass
if amd_gpu_count > 0:
command = r'lspci -vvnn | grep -A 3 "\[0300\]" | grep -A 3 AMD'
amd_gpu_data = run([command], shell=True, check=True, stdout=PIPE, stderr=PIPE)
amd_gpu_data = amd_gpu_data.stdout
amd_gpu_data = amd_gpu_data.decode('utf-8').split("\n--\n")
pattern = r"\[(\w{4}:\w{4})\]"
amd_devs = []
amd_subvens = []
for amd_gpu in amd_gpu_data:
result = findall(pattern=pattern, string=amd_gpu)
amd_devs.append(result[0].split(":")[1])
if len(result) > 1:
amd_subvens.append(result[1].split(":")[0])
else:
amd_subvens.append(None)
self.vendors.append('amdgpu')
self.lines += 1
if self.vendors:
self.gpus = dict.fromkeys(self.vendors)
if 'nvidia' in self.vendors:
self.gpus['nvidia'] = {}
self.gpus['nvidia']['handles'] = []
self.gpus['nvidia']['names'] = []
self.lines += nvidia_gpu_count * 2
for i in range(nvidia_gpu_count):
handle = nvmlDeviceGetHandleByIndex(i)
name = f"{nvmlDeviceGetName(handle)}-{i}"
try:
power_limit = nvmlDeviceGetPowerManagementLimit(
handle) / 1000
except NVMLError:
power_limit = None
handles.append(handle)
subven = str(nvidia_subvens[i])
if subven:
command = f"cat venids | grep -i \"{subven},\""
try:
output = run([command],
shell=True,
check=True,
stdout=PIPE,
stderr=PIPE).stdout.decode('utf-8')
subven = output[5:]
except CalledProcessError:
pass
mem_limit = round((nvmlDeviceGetMemoryInfo(handle).total / 1024 / 1024), 2)
self.gpus['nvidia']['names'].append(name)
self.gpus['nvidia'][name] = {'temp': None, 'clock': None, 'fan_speed': None,
'power': None, 'power_limit': power_limit,
'memory': None, 'mem_limit': mem_limit,
'utilization': None, 'subsysven': subven}
self.lines += 6
if 'amdgpu' in self.vendors:
self.gpus['amdgpu'] = {}
self.gpus['amdgpu']['names'] = []
self.gpus['amdgpu']['gpuinfos'] = []
self.lines += amd_gpu_count * 2
for i in range(amd_gpu_count):
gpuinfo = get_gpu(i)
name = f"Device_{str(amd_devs[i])}-{i}"
if gpuinfo.name:
name = f"{gpuinfo.name}-{i}"
else:
command = f"cat amddevids | grep -i \"{amd_devs[i]},\""
try:
output = run([command],
shell=True,
check=True,
stdout=PIPE,
stderr=PIPE).stdout.decode('utf-8')
output = output.replace("\n", "")
name = f"{output[5:]}-{i}"
except CalledProcessError:
pass
subven = str(amd_subvens[i])
if subven:
command = f"cat venids | grep -i \"{subven},\""
try:
output = run([command],
shell=True,
check=True,
stdout=PIPE,
stderr=PIPE).stdout.decode('utf-8')
subven = output[5:]
except CalledProcessError:
pass
mem_limit = round((gpuinfo.memory_info['vram_size'] / 1024 / 1024), 2)
gpuinfos.append(gpuinfo)
self.gpus['amdgpu']['names'].append(name)
self.gpus['amdgpu'][name] = {'temp': None, 'clock': None, 'fan_speed': None,
'power': None, 'power_limit': None,
'memory': None, 'mem_limit': mem_limit,
'utilization': None, 'subsysven': subven}
self.lines += 5
self.mmm = deepcopy(self.gpus)
if handles:
self.gpus['nvidia']['handles'] = [handle for handle in handles]
if gpuinfos:
self.gpus['amdgpu']['gpuinfos'] = [
gpuinfo for gpuinfo in gpuinfos]
for vendor in self.vendors:
for name in self.mmm[vendor]['names']:
for data in self.data:
self.mmm[vendor][name][data] = [999999, 0, 0]
def __del__(self) -> None:
if 'nvidia' in self.vendors:
nvmlShutdown()
def __iter__(self):
self.vendor_iter = iter(self.vendors)
self._next_vendor()
return self
def _next_vendor(self):
self.current_vendor = next(self.vendor_iter, None)
if self.current_vendor:
self.name_iter = iter(self.gpus[self.current_vendor]['names'])
self._next_name()
def _next_name(self):
self.current_name = next(self.name_iter, None)
if self.current_name:
self.data_iter = iter(self.data)
def __next__(self) -> list:
if not self.current_vendor:
raise StopIteration
try:
return [self.current_vendor, self.current_name, next(self.data_iter)]
except StopIteration:
try:
self._next_name()
return [self.current_vendor, self.current_name, next(self.data_iter)]
except StopIteration:
self._next_vendor()
if not self.current_vendor:
raise
return [self.current_vendor, self.current_name, next(self.data_iter)]
def get_label(self, params: list) -> str | None:
"""Get label for current gpu's current data"""
if len(params) != 3:
return None
return params[2]
def get_section(self, params: list) -> str | None:
"""Get section"""
if len(params) != 3:
return None
return f"{params[0]}"
def get_subsection(self, params: list) -> str | None:
"""Get subsection"""
if len(params) != 3:
return None
return f"{params[1]}"
def get_vendors(self) -> list:
"""Get list of vendors for detected GPUs
Returns:
list: list of detected GPU vendors
"""
return self.vendors
def get_gpu_names(self, vendor: str) -> list:
"""Get list of GPU's for given vendor
Args:
vendor (str): vendor name
Returns:
list: list of detected GPUs
"""
gpus = self.gpus.get(vendor, {})
return gpus.get('names', [])
def get_dataset(self) -> list:
"""get the supported dataset
Returns:
list: dataset list
"""
return self.data
def update_mmm(self, vendor: str, name: str, data: str, current: float):
"""Update the min, man, mean data
"""
minimum = self.mmm[vendor][name][data][0]
maximum = self.mmm[vendor][name][data][1]
mean = self.mmm[vendor][name][data][2]
self.mmm[vendor][name][data][0] = min([minimum, current])
self.mmm[vendor][name][data][1] = max([maximum, current])
self.mmm[vendor][name][data][2] = mean + \
(current - mean) / self.iteration
def update(self) -> None:
"""Update GPU Info"""
for vendor, gpu_data in self.gpus.items():
for gpu_name in gpu_data['names']:
gpu_index = gpu_data['names'].index(gpu_name)
if vendor == 'nvidia':
handle = self.gpus[vendor]['handles'][gpu_index]
fan_speed = None
try:
fan_speed = nvmlDeviceGetFanSpeed(handle)
if self.iteration == 1:
self.lines += 1
except NVMLError:
pass
self.gpus[vendor][gpu_name]['temp'] = nvmlDeviceGetTemperature(
handle,
NVML_TEMPERATURE_GPU)
self.gpus[vendor][gpu_name]['clock'] = nvmlDeviceGetClock(handle,
NVML_CLOCK_GRAPHICS,
NVML_CLOCK_ID_CURRENT)
self.gpus[vendor][gpu_name]['fan_speed'] = fan_speed
self.gpus[vendor][gpu_name]['power'] = nvmlDeviceGetPowerUsage(
handle) / 1000
self.gpus[vendor][gpu_name]['memory'] = round(
(nvmlDeviceGetMemoryInfo(handle).used / 1024 / 1024), 2)
self.gpus[vendor][gpu_name]['utilization'] = nvmlDeviceGetUtilizationRates(
handle).gpu
elif vendor == 'amdgpu':
gpuinfo = self.gpus[vendor]['gpuinfos'][gpu_index]
fan_speed = None
fans = sensors_fans()
if 'amdgpu' in fans.keys():
try:
fan_speed = fans['amdgpu'][gpuinfo.gpu_id][1]
if self.iteration == 1:
self.lines += 1
except IndexError:
pass
self.gpus[vendor][gpu_name]['temp'] = gpuinfo.query_temperature()
self.gpus[vendor][gpu_name]['fan_speed'] = fan_speed
self.gpus[vendor][gpu_name]['power'] = gpuinfo.query_power()
self.gpus[vendor][gpu_name]['memory'] = round(
(gpuinfo.query_vram_usage() / 1024 / 1024), 2)
self.gpus[vendor][gpu_name]['utilization'] = gpuinfo.query_load(
) * 100
for data in self.data:
current = self.gpus[vendor][gpu_name][data]
if current is not None:
self.update_mmm(vendor, gpu_name, data, current)
self.lines += 1
self.iteration += 1
def get_power_limit(self, vendor: str, name: str) -> int:
"""get power limit for gpu given vendor and gpu name
Args:
vendor (str): name of gpu vendor
name (str): name of gpu
Returns:
int: power limit for gpu
"""
gpus = self.gpus.get(vendor, {})
gpu = gpus.get(name, {})
ret = gpu.get('power_limit', None)
if ret is not None:
ret = round(ret)
return ret
def get_subven(self, vendor: str, name: str) -> str:
"""get subsystem vendor for gpu given vendor and gpu name
Args:
vendor (str): name of gpu vendor
name (str): name of gpu
Returns:
str: name of the subsystem vendor
"""
gpus = self.gpus.get(vendor, {})
gpu = gpus.get(name, {})
return gpu.get('subsysven', None)
def get_driver_version(self) -> str | None:
"""If NVIDIA return driver version
Returns:
str | None: driver version or None
"""
if 'nvidia' in self.vendors:
return nvmlSystemGetDriverVersion()
return None
def get_current(self, params: list) -> int | None:
"""get current value of data for gpu given vendor and gpu name
Args:
vendor (str): gpu vendor
name (str): gpu name
data (str): data being queried
Returns:
int: returns current value for data
"""
if len(params) != 3:
return None
ret = self.gpus.get(params[0], {}).get(
params[1], {}).get(params[2], None)
if ret is None:
return ret
return round(ret)
def get_min(self, params: list) -> int | None:
"""Get minimum value of data for gpu given vendor and gpu name
Args:
vendor (str): gpu vendor
name (str): gpu name_
data (str): data being queried
Returns:
int: return minimum value for data
"""
if len(params) != 3:
return None
vendor = self.mmm.get(params[0], {})
name = vendor.get(params[1], {})
data = name.get(params[2], None)
if data is None:
return data
return round(data[0])
def get_max(self, params: list) -> int | None:
"""Get maximum value of data for gpu given vendor and gpu name
Args:
vendor (str): gpu vendor
name (str): gpu name
data (str): data being queried
Returns:
int: return maximum value for data
"""
if len(params) != 3:
return None
ret = self.mmm.get(params[0], {}).get(
params[1], {}).get(params[2], [None, None, None])[1]
if ret is None:
return ret
return round(ret)
def get_mean(self, params: list) -> int | None:
"""Get mean value of data for gpu given vendor and gpu name
Args:
vendor (str): gpu vendor
name (str): gpu name_
data (str): data being queried
Returns:
int: return mean value for data
"""
if len(params) != 3:
return None
ret = self.mmm.get(params[0], {}).get(
params[1], {}).get(params[2], [None, None, None])[2]
if ret is None:
return ret
return round(ret)
def get_csv_data(self) -> list:
"""get a list of current gpu data for csv log
Returns:
list: list of current gpu data
"""
ret = []
for vendor in self.vendors:
for name in self.gpus[vendor]['names']:
for data in self.data:
if self.gpus[vendor][name][data] is not None:
ret.append(round(self.gpus[vendor][name][data], 4))
return ret
def get_csv_headings(self) -> list:
"""Get the CSV headings for GPU data
Returns:
list: list of csv headings
"""
headings = []
for vendor in self.vendors:
for name in self.gpus[vendor]['names']:
for data in self.data:
if self.gpus[vendor][name][data] is not None:
headings.append(f"{vendor} {name} {data}")
return headings
def get_win_lines(self) -> int:
"""return number of lines needed for this data's curses window
"""
return self.lines
def is_empty(self) -> bool:
"""is there a supported GPU?
Returns:
bool: True if no supported GPU present
"""
if self.vendors:
return False
return True