ClearML/clearml
1
0
Fork 0
mirror of https://github.com/clearml/clearml synced 2025-06-26 18:16:07 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

Fix GPU memory used reports 0 when memory can not be queried per process

Browse Source
This commit is contained in:
allegroai 2023-09-22 16:25:50 +03:00
parent 0442579e23
commit c5675733a0
2 changed files with 26 additions and 12 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
clearml/utilities/gpu/gpustat.py
View File

@ -285,11 +285,11 @@ class GPUStatCollection(object):
for nv_process in nv_comp_processes + nv_graphics_processes:
try:
process = get_process_info(nv_process)
processes.append(process)
except psutil.NoSuchProcess:
# TODO: add some reminder for NVML broken context
# e.g. nvidia-smi reset or reboot the system
pass
process = None
processes.append(process)
# we do not actually use these, so no point in collecting them
# # TODO: Do not block if full process info is not requested
@ -313,7 +313,7 @@ class GPUStatCollection(object):
# Convert bytes into MBytes
'memory.used': memory.used // MB if memory else None,
'memory.total': memory.total // MB if memory else None,
'processes': processes,
'processes': None if (processes and all(p is None for p in processes)) else processes
}
if per_process_stats:
GPUStatCollection.clean_processes()

32
clearml/utilities/resource_monitor.py
View File

@ -43,6 +43,8 @@ class ResourceMonitor(BackgroundMonitor):
self._process_info = psutil.Process() if report_mem_used_per_process else None
self._last_process_pool = {}
self._last_process_id_list = []
self._gpu_memory_per_process = True
if not self._gpustat:
self._task.get_logger().report_text('ClearML Monitor: GPU monitoring is not available')
else: # if running_remotely():
@ -311,16 +313,28 @@ class ResourceMonitor(BackgroundMonitor):
# update mem used by our process and sub processes
if self._process_info and (not self._last_process_pool.get('gpu') or
(time() - self._last_process_pool['gpu'][0]) >= self._report_frequency):
gpu_stat = self._gpustat.new_query(per_process_stats=True)
gpu_mem = {}
for i, g in enumerate(gpu_stat.gpus):
# only monitor the active gpu's, if none were selected, monitor everything
if self._active_gpus and i not in self._active_gpus:
continue
gpu_mem[i] = 0
for p in g.processes:
if p['pid'] in self._last_process_id_list:
gpu_mem[i] += p.get('gpu_memory_usage', 0)
if self._gpu_memory_per_process:
# noinspection PyBroadException
try:
gpu_stat = self._gpustat.new_query(per_process_stats=True)
except Exception:
gpu_stat = self._gpustat.new_query(per_process_stats=False)
for i, g in enumerate(gpu_stat.gpus):
# if processes is None, that means we can't query GPU memory usage per proces, so we can stop
if g.processes is None:
self._gpu_memory_per_process = False
break
# only monitor the active gpu's, if none were selected, monitor everything
if self._active_gpus and i not in self._active_gpus:
continue
gpu_mem[i] = 0
for p in g.processes:
if p is not None and p['pid'] in self._last_process_id_list:
gpu_mem[i] += p.get('gpu_memory_usage', 0)
self._last_process_pool['gpu'] = time(), gpu_mem
else:
# if we do no need to update the memory usage, run global query