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"cells": [
{
"cell_type": "markdown",
"metadata": {
"run_control": {
"frozen": false,
"read_only": false
}
},
"source": [
"# Analysis of PELT signal error due to skip last window update"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false,
"run_control": {
"frozen": false,
"marked": false,
"read_only": false
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2017-08-02 21:50:32,729 INFO : root : Using LISA logging configuration:\n",
"2017-08-02 21:50:32,732 INFO : root : /home/joelaf/repo/lisa-aosp/external/lisa/logging.conf\n"
]
}
],
"source": [
"import logging\n",
"from conf import LisaLogging\n",
"LisaLogging.setup()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false,
"run_control": {
"frozen": false,
"marked": false,
"read_only": false
}
},
"outputs": [],
"source": [
"# Generate plots inline\n",
"%matplotlib inline\n",
"import json\n",
"import os\n",
"from trace import Trace\n",
"import numpy\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import trappy\n",
"\n",
"path_to_dat = \"/home/joelaf/repo/lisa-aosp/external/lisa/ipynb/scratchpad/pelt-error/trace-fixed-pc.dat\""
]
},
{
"cell_type": "markdown",
"metadata": {
"run_control": {
"frozen": false,
"read_only": false
}
},
"source": [
"## Parse Trace and Profiling Data"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false,
"run_control": {
"frozen": false,
"marked": false,
"read_only": false
}
},
"outputs": [],
"source": [
"trace = Trace(None, path_to_dat, events=[ 'sched_switch', 'pelt_update' ])"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true,
"run_control": {
"frozen": false,
"read_only": false
}
},
"source": [
"## Trace visualization"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false,
"run_control": {
"frozen": false,
"marked": false,
"read_only": false
}
},
"outputs": [
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" * http://www.apache.org/licenses/LICENSE-2.0\n",
" *\n",
" * Unless required by applicable law or agreed to in writing, software\n",
" * distributed under the License is distributed on an \"AS IS\" BASIS,\n",
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"source": [
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]
},
{
"cell_type": "markdown",
"metadata": {
"run_control": {
"frozen": false,
"read_only": false
}
},
"source": [
"## Latency DataFrames"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"Index([u'__comm', u'__cpu', u'__line', u'__pid', u'__tgid', u'acc_load_avg',\n",
" u'acc_util_avg', u'cfs_rq', u'delta_us', u'load_avg', u'load_err',\n",
" u'load_sum', u'ret', u'sum_err', u'util_avg', u'util_err'],\n",
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]
},
"execution_count": 5,
"metadata": {},
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],
"source": [
"df = trace.data_frame.trace_event('pelt_update')\n",
"rq_df = df[df.cfs_rq == 1]\n",
"rq_df.columns"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"UTIL ERROR\n"
]
},
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"</script>\n",
"<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"http://cdnjs.cloudflare.com/ajax/libs/dygraph/1.1.1/dygraph-combined.js\" -->\n",
"<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"http://dygraphs.com/extras/synchronizer.js\" -->\n",
"<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.8.3/underscore-min.js\" -->\n",
"\n",
" <script>\n",
" /* TRAPPY_PUBLISH_IMPORT = \"plotter/js/ILinePlot.js\" */\n",
" /* TRAPPY_PUBLISH_REMOVE_START */\n",
" var ilp_req = require.config( {\n",
"\n",
" paths: {\n",
" \"dygraph-sync\": '/nbextensions/plotter_scripts/ILinePlot/synchronizer',\n",
" \"dygraph\": '/nbextensions/plotter_scripts/ILinePlot/dygraph-combined',\n",
" \"ILinePlot\": '/nbextensions/plotter_scripts/ILinePlot/ILinePlot',\n",
" \"underscore\": '/nbextensions/plotter_scripts/ILinePlot/underscore-min',\n",
" },\n",
"\n",
" shim: {\n",
" \"dygraph-sync\": [\"dygraph\"],\n",
" \"ILinePlot\": {\n",
"\n",
" \"deps\": [\"dygraph-sync\", \"dygraph\", \"underscore\"],\n",
" \"exports\": \"ILinePlot\"\n",
" }\n",
" }\n",
" });\n",
" /* TRAPPY_PUBLISH_REMOVE_STOP */\n",
" ilp_req([\"require\", \"ILinePlot\"], function() { /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
" ILinePlot.generate(fig_bff82cfa68b046999d16a28d9ba494d1_data);\n",
" }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
" </script>\n",
" "
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Plot the accurate and the actual signals for the RQ\n",
"print 'UTIL ERROR'\n",
"trappy.ILinePlot(trace.ftrace,\n",
" signals = [\n",
" 'pelt_update:util_avg',\n",
" 'pelt_update:acc_util_avg',\n",
" ]).view()\n",
"\n",
"print 'LOAD ERROR'\n",
"trappy.ILinePlot(trace.ftrace,\n",
" signals = [\n",
" 'pelt_update:load_avg',\n",
" 'pelt_update:acc_load_avg',\n",
" ]).view()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Data showing highest load / util errors (> count of 2) on the RQ (cpu 1)\n",
"-------------------------------\n",
"Note that, as expected, the error exists only for cases where delta is < 1ms (now - last_update_time)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"number of errors: 0\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/joelaf/anaconda2/lib/python2.7/site-packages/ipykernel/__main__.py:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
" if __name__ == '__main__':\n",
"/home/joelaf/anaconda2/lib/python2.7/site-packages/ipykernel/__main__.py:4: FutureWarning: sort(columns=....) is deprecated, use sort_values(by=.....)\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>__comm</th>\n",
" <th>acc_load_avg</th>\n",
" <th>util_avg</th>\n",
" <th>acc_util_avg</th>\n",
" <th>util_err</th>\n",
" <th>delta_us</th>\n",
" <th>load_sum</th>\n",
" <th>sum_err</th>\n",
" <th>load_avg</th>\n",
" <th>load_err</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Time</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"Empty DataFrame\n",
"Columns: [__comm, acc_load_avg, util_avg, acc_util_avg, util_err, delta_us, load_sum, sum_err, load_avg, load_err]\n",
"Index: []"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"err_df = rq_df[(rq_df.util_err > 10) | (rq_df.load_err > 10)][rq_df['__comm'] == 'thread0']\n",
"err_df = err_df[['__comm', 'acc_load_avg', 'util_avg', 'acc_util_avg', \\\n",
" 'util_err', 'delta_us', 'load_sum', 'sum_err', 'load_avg', 'load_err']]\n",
"\n",
"err_df = err_df.sort(columns=['delta_us'], ascending=False)\n",
"print 'number of errors: ' + str(len(err_df))\n",
"err_df.head(20)\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/joelaf/anaconda2/lib/python2.7/site-packages/ipykernel/__main__.py:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
" if __name__ == '__main__':\n"
]
},
{
"data": {
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"text/plain": [
"<matplotlib.figure.Figure at 0x7fda10bc8fd0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df = rq_df[(rq_df.util_err > 0) | (rq_df.load_err > 0)][rq_df['__comm'] == 'thread0']\n",
"df = df[(df.util_err > 0) | (df.load_err > 0)]\n",
"df = df[['util_err', 'load_err']].plot(kind='hist', figsize=(15,7), bins=8, xlim=(0, 20), xticks=range(0,20), stacked=True, title = 'Occurence of errors > 10 counts', )"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"_draft": {
"nbviewer_url": "https://gist.github.com/ec38b4edb2da1ef21e2aa9b1d6c64f65"
},
"gist": {
"data": {
"description": "TraceAnalysis_TasksLatencies.ipynb",
"public": false
},
"id": "ec38b4edb2da1ef21e2aa9b1d6c64f65"
},
"hide_input": false,
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.13"
},
"toc": {
"colors": {
"hover_highlight": "#DAA520",
"running_highlight": "#FF0000",
"selected_highlight": "#FFD700"
},
"moveMenuLeft": true,
"nav_menu": {
"height": "296px",
"width": "252px"
},
"navigate_menu": true,
"number_sections": true,
"sideBar": true,
"threshold": 4,
"toc_cell": false,
"toc_number_sections": true,
"toc_section_display": "block",
"toc_threshold": 6,
"toc_window_display": false
}
},
"nbformat": 4,
"nbformat_minor": 0
}