# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import os import json import glob import logging import pandas as pd import multiprocessing from multiprocessing import Process from CspChromeTraceFormatter import ChromeTraceFormatter from CspFileReader import FileReader from CspFileReader import getLogger from CspFileReader import TIME_PATH, DCGM_PATH, NET_PATH, PROFILE_PATH from CspFileReader import NETINFO_TRACE_NUM, DCGMINFO_TRACE_NUM, PIPELINEINFO_TRACE_NUM from CspFileReader import FILEORGANIZEFORM_BYRANK, FILEORGANIZEFORM_BYTRAINER, FILEORGANIZEFORM_BYOTHER, FILEORGANIZEFORM class netFileReader(FileReader): def _parseSingleFile(self, fileNameList, tx_pid, rx_pid, q=None): traceInfo = {} traceEventList = [] metaInfo = {} metaInfo['name'] = 'process_name' metaInfo['ph'] = 'M' metaInfo['pid'] = tx_pid metaInfo['args'] = {'name': "%02d_tx" % tx_pid} traceEventList.append(metaInfo) metaInfo = {} metaInfo['name'] = 'process_name' metaInfo['ph'] = 'M' metaInfo['pid'] = rx_pid metaInfo['args'] = {'name': "%02d_rx" % rx_pid} traceEventList.append(metaInfo) trainerIdList = [] for fileName in fileNameList: trainerId = self.getTrainerId(fileName) trainerIdList.append(trainerId) with open(fileName, "r") as rf: for line in rf: try: event_str = json.loads(line.strip()) event_str["pid"] = tx_pid if event_str[ "name"] == "tx" else rx_pid # the unit of net is ms, we need ns event_str["ts"] = self._align_ts(event_str["ts"] * 1e6) event_str["id"] = trainerId traceEventList.append(event_str) except Exception: self._logger.warning( "invalid record [%s] in [%s]. skip it!" % (line[:-1], fileName)) traceInfo["traceEvents"] = traceEventList if not q is None: q.put(traceInfo) else: return traceInfo def parseFileByGroup(self, groupId, processNum=8): fileFist = self.getFileListByGroup(groupId) fileFist = fileFist[:min(self._displaySize, len(fileFist))] manager = multiprocessing.Manager() q = manager.Queue() processPool = [] pidList = [] tx_pid = PIPELINEINFO_TRACE_NUM rx_pid = PIPELINEINFO_TRACE_NUM + 1 taskList = self._splitTaskListForMultiProcess(fileFist, processNum) for task in taskList: subproc = Process( target=self._parseSingleFile, args=( task, tx_pid, rx_pid, q, )) processPool.append(subproc) subproc.start() pidList.append(subproc.pid) self._logger.info( "[Net info]: process [%d] has been started, total task num is %d ..." % (subproc.pid, len(processPool))) for t in processPool: t.join() pidList.remove(t.pid) self._logger.info( "[Net info]: process [%d] has exited! remained %d process!" % (t.pid, len(pidList))) traceInfo = {} isFistProcess = True for t in processPool: if isFistProcess: isFistProcess = False traceInfo["traceEvents"] = q.get()["traceEvents"] else: traceInfo["traceEvents"].extend(q.get()["traceEvents"]) return traceInfo def test_netFileReader(): args = { "dataPath": "data/newdata/net", "groupSize": 4, "displaySize": 2, "gpuPerTrainer": 8, "minTimeStamp": 0, "organizeForm": FILEORGANIZEFORM_BYTRAINER, } testReader = netFileReader(getLogger(), args) testReader.printArgs() data = testReader.parseFileByGroup(0, 8) jsObj = json.dumps(data, indent=4, separators=(',', ': ')) fileObject = open('jsonFile.json', 'w') fileObject.write(jsObj) fileObject.close() if __name__ == "__main__": test_netFileReader()