wehub-resource-sync
107 lines
3.2 KiB
Python
107 lines
3.2 KiB
Python
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import time
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from threading import Thread
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import paddle
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from ..utils.nvsmi import get_gpu_info, get_gpu_process, get_gpu_util
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class Watcher:
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def __init__(self, ctx):
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self.ctx = ctx
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self.interval = 5
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self.gpu_util = []
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if not self.ctx.args.enable_gpu_log:
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return
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if paddle.is_compiled_with_rocm():
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return
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# gpu log file
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self.gpus = self.ctx.args.devices or self.ctx.node.device.labels
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if len(self.gpus) > 0:
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fn = os.path.join(
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self.ctx.args.log_dir, f"{self.ctx.args.job_id}.gpu.log"
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)
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os.makedirs(os.path.dirname(fn), exist_ok=True)
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self.gpu_fd = open(fn, 'w')
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else:
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return
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# start
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self.proc = Thread(target=self.watch)
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self.proc.daemon = True
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self.proc.start()
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def watch(self):
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if not len(self.gpus) > 0:
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return
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self._print_gpu_info()
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util_key = "index,utilization_gpu,memory_total,memory_used,memory_free,timestamp"
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self.gpu_fd.write(util_key)
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self.gpu_fd.write('\n')
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while not self.ctx.status.is_done():
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self._save_gpu_log(util_key)
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time.sleep(self.interval)
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if hasattr(self, "gpu_fd"):
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self.gpu_fd.close()
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def _print_gpu_info(self):
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try:
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info_key = "index,uuid,driver_version,name,gpu_serial,display_active,display_mode"
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self.gpu_fd.write(info_key)
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self.gpu_fd.write('\n')
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for line in get_gpu_info(self.gpus):
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self.gpu_fd.write(line.str(info_key))
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self.gpu_fd.write('\n')
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self.gpu_fd.write('\n')
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process_key = "pid,process_name,gpu_uuid,gpu_name,used_memory"
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self.gpu_fd.write(process_key)
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self.gpu_fd.write('\n')
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for line in get_gpu_process(self.gpus):
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self.gpu_fd.write(line.str(process_key))
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self.gpu_fd.write('\n')
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self.gpu_fd.write('\n')
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self.gpu_fd.flush()
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except Exception as e:
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self.ctx.logger.warning(f"save gpu info failed: {e!s}")
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def _save_gpu_log(self, util_key):
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try:
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for line in get_gpu_util(self.gpus):
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self.gpu_fd.write(line.str(util_key))
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self.gpu_fd.write('\n')
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self.gpu_fd.flush()
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except Exception as e:
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self.ctx.logger.warning(f"save gpu log failed: {e!s}")
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def stop(self):
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if hasattr(self, "proc"):
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# daemon without join
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# self.proc.join()
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pass
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