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SchedUtil flags's update issues
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schedutil_flags_update.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false,
"run_control": {
"frozen": false,
"marked": true,
"read_only": false
}
},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false,
"run_control": {
"frozen": false,
"marked": true,
"read_only": false
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2017-02-03 12:23:45,403 INFO : root : Using LISA logging configuration:\n",
"2017-02-03 12:23:45,404 INFO : root : /data/Code/lisa/logging.conf\n"
]
}
],
"source": [
"import logging\n",
"from conf import LisaLogging\n",
"LisaLogging.setup(level=logging.INFO)\n",
"# LisaLogging.setup(level=logging.DEBUG)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false,
"run_control": {
"frozen": false,
"marked": true,
"read_only": false
}
},
"outputs": [],
"source": [
"import json\n",
"import operator\n",
"import os\n",
"\n",
"import devlib\n",
"import trappy\n",
"import bart\n",
"\n",
"from wlgen import RTA, Periodic\n",
"from trace import Trace"
]
},
{
"cell_type": "markdown",
"metadata": {
"run_control": {
"frozen": false,
"read_only": false
}
},
"source": [
"# Target connection"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false,
"run_control": {
"frozen": false,
"marked": true,
"read_only": false
},
"scrolled": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2017-02-03 12:23:45,741 INFO : TestEnv : Using base path: /data/Code/lisa\n",
"2017-02-03 12:23:45,742 INFO : TestEnv : Loading custom (inline) target configuration\n",
"2017-02-03 12:23:45,743 INFO : TestEnv : Devlib modules to load: ['bl', 'cpufreq']\n",
"2017-02-03 12:23:45,743 INFO : TestEnv : Connecting linux target:\n",
"2017-02-03 12:23:45,744 INFO : TestEnv : username : root\n",
"2017-02-03 12:23:45,745 INFO : TestEnv : host : 10.1.210.51\n",
"2017-02-03 12:23:45,746 INFO : TestEnv : password : \n",
"2017-02-03 12:23:45,746 INFO : TestEnv : Connection settings:\n",
"2017-02-03 12:23:45,747 INFO : TestEnv : {'username': 'root', 'host': '10.1.210.51', 'password': ''}\n",
"2017-02-03 12:24:01,256 INFO : TestEnv : Initializing target workdir:\n",
"2017-02-03 12:24:01,258 INFO : TestEnv : /root/devlib-target\n",
"2017-02-03 12:24:07,353 INFO : TestEnv : Topology:\n",
"2017-02-03 12:24:07,355 INFO : TestEnv : [[0, 3, 4, 5], [1, 2]]\n",
"2017-02-03 12:24:08,602 INFO : TestEnv : Loading default EM:\n",
"2017-02-03 12:24:08,603 INFO : TestEnv : /data/Code/lisa/libs/utils/platforms/juno.json\n",
"2017-02-03 12:24:09,372 WARNING : LinuxTarget : Event [sched_overutilized] not available for tracing\n",
"2017-02-03 12:24:09,375 WARNING : LinuxTarget : Event [sched_load_avg_cpu] not available for tracing\n",
"2017-02-03 12:24:09,377 WARNING : LinuxTarget : Event [sched_load_avg_task] not available for tracing\n",
"2017-02-03 12:24:09,380 WARNING : LinuxTarget : Event [cpu_capacity] not available for tracing\n",
"2017-02-03 12:24:09,382 INFO : TestEnv : Enabled tracepoints:\n",
"2017-02-03 12:24:09,384 INFO : TestEnv : sched_switch\n",
"2017-02-03 12:24:09,386 INFO : TestEnv : sched_wakeup\n",
"2017-02-03 12:24:09,387 INFO : TestEnv : sched_wakeup_new\n",
"2017-02-03 12:24:09,388 INFO : TestEnv : sched_overutilized\n",
"2017-02-03 12:24:09,389 INFO : TestEnv : sched_load_avg_cpu\n",
"2017-02-03 12:24:09,390 INFO : TestEnv : sched_load_avg_task\n",
"2017-02-03 12:24:09,392 INFO : TestEnv : cpu_frequency\n",
"2017-02-03 12:24:09,393 INFO : TestEnv : cpu_capacity\n",
"2017-02-03 12:24:09,394 INFO : TestEnv : cpu_idle\n",
"2017-02-03 12:24:09,396 WARNING : TestEnv : Using configuration provided RTApp calibration\n",
"2017-02-03 12:24:09,397 INFO : TestEnv : Using RT-App calibration values:\n",
"2017-02-03 12:24:09,398 INFO : TestEnv : {\"0\": 363, \"1\": 138, \"2\": 139, \"3\": 352, \"4\": 353, \"5\": 361}\n",
"2017-02-03 12:24:09,400 WARNING : TestEnv : Wipe previous contents of the results folder:\n",
"2017-02-03 12:24:09,401 WARNING : TestEnv : /data/Code/lisa/results/SchedUtil_Flags\n",
"2017-02-03 12:24:09,409 INFO : EnergyMeter : HWMON module not enabled\n",
"2017-02-03 12:24:09,410 WARNING : EnergyMeter : Energy sampling disabled by configuration\n",
"2017-02-03 12:24:09,412 INFO : TestEnv : Set results folder to:\n",
"2017-02-03 12:24:09,413 INFO : TestEnv : /data/Code/lisa/results/SchedUtil_Flags\n",
"2017-02-03 12:24:09,414 INFO : TestEnv : Experiment results available also in:\n",
"2017-02-03 12:24:09,415 INFO : TestEnv : /data/Code/lisa/results_latest\n",
"2017-02-03 12:24:09,416 INFO : root : Connected to arm64 target\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"DONE\n"
]
}
],
"source": [
"from env import TestEnv\n",
"\n",
"ANDROID_HOME = os.path.join(os.getenv('LISA_HOME'), \"tools/android-sdk-linux\")\n",
"\n",
"my_conf = {\n",
" \n",
"# Pixel v3.18\n",
"# \"platform\" : \"android\",\n",
"# \"board\" : \"pixel\",\n",
"# \"ANDROID_HOME\" : ANDROID_HOME,\n",
"# # RT-App calibration values\n",
"# \"rtapp-calib\" : {\n",
"# \"0\": 104, \"1\": 106, \"2\": 78, \"3\": 78 # Pixel\n",
"# },\n",
"\n",
" \n",
"# JUNO Mainline\n",
" \"platform\" : \"linux\",\n",
" \"board\" : \"juno\",\n",
" \"host\" : \"10.1.210.51\",\n",
" \"username\" : \"root\",\n",
" \"password\" : \"\",\n",
" # RT-App calibration values\n",
" \"rtapp-calib\" : {\n",
" '0': 363, '1': 138, '2': 139, '3': 352, '4': 353, '5': 361\n",
" },\n",
"\n",
" # List of additional devlib modules to install \n",
" \"modules\" : ['bl', 'cpufreq'],\n",
" \"exclude_modules\" : ['hwmon'],\n",
" \n",
" # List of additional binary tools to install\n",
" \"tools\" : ['rt-app', 'trace-cmd'],\n",
" \n",
" # FTrace events to collect\n",
" \"ftrace\" : {\n",
" \"events\" : [\n",
" \"sched_switch\",\n",
" \"sched_wakeup\",\n",
" \"sched_wakeup_new\",\n",
" \"sched_overutilized\", \n",
" \"sched_load_avg_cpu\",\n",
" \"sched_load_avg_task\",\n",
" \"cpu_frequency\",\n",
" \"cpu_capacity\",\n",
" \"cpu_idle\",\n",
" ],\n",
" \"buffsize\" : 10240\n",
" },\n",
" \n",
" \"results_dir\" : \"SchedUtil_Flags\"\n",
"}\n",
"\n",
"te = TestEnv(my_conf, force_new=True)\n",
"target = te.target\n",
"\n",
"# Report target connection\n",
"logging.info('Connected to %s target', target.abi)\n",
"print \"DONE\""
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false,
"run_control": {
"frozen": false,
"marked": true,
"read_only": false
},
"scrolled": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2017-02-03 12:24:09,434 INFO : Workload : Setup new workload tasks_fr\n",
"2017-02-03 12:24:09,436 INFO : Workload : Workload duration defined by longest task\n",
"2017-02-03 12:24:09,437 INFO : Workload : Default policy: SCHED_OTHER\n",
"2017-02-03 12:24:09,438 INFO : Workload : ------------------------\n",
"2017-02-03 12:24:09,439 INFO : Workload : task [rta_fr0], sched: {'policy': 'OTHER', 'priotity': 130}\n",
"2017-02-03 12:24:09,440 INFO : Workload : | calibration CPU: 1\n",
"2017-02-03 12:24:09,441 INFO : Workload : | loops count: 1\n",
"2017-02-03 12:24:09,442 INFO : Workload : | CPUs affinity: 2\n",
"2017-02-03 12:24:09,443 INFO : Workload : + phase_000001: duration 5.000000 [s] (625 loops)\n",
"2017-02-03 12:24:09,444 INFO : Workload : | period 8000 [us], duty_cycle 1 %\n",
"2017-02-03 12:24:09,445 INFO : Workload : | run_time 80 [us], sleep_time 7920 [us]\n",
"2017-02-03 12:24:11,050 INFO : Workload : Setup new workload tasks_rt\n",
"2017-02-03 12:24:11,051 INFO : Workload : Workload duration defined by longest task\n",
"2017-02-03 12:24:11,052 INFO : Workload : Default policy: SCHED_OTHER\n",
"2017-02-03 12:24:11,053 INFO : Workload : ------------------------\n",
"2017-02-03 12:24:11,054 INFO : Workload : task [rta_rt0], sched: {'policy': 'FIFO', 'priotity': 90}\n",
"2017-02-03 12:24:11,055 INFO : Workload : | calibration CPU: 1\n",
"2017-02-03 12:24:11,056 INFO : Workload : | loops count: 1\n",
"2017-02-03 12:24:11,056 INFO : Workload : | CPUs affinity: 2\n",
"2017-02-03 12:24:11,057 INFO : Workload : + phase_000001: duration 5.000000 [s] (312 loops)\n",
"2017-02-03 12:24:11,058 INFO : Workload : | period 16000 [us], duty_cycle 50 %\n",
"2017-02-03 12:24:11,059 INFO : Workload : | run_time 8000 [us], sleep_time 8000 [us]\n"
]
}
],
"source": [
"cpu_id = '2' # Use last big CPU on a Juno board\n",
"if te.conf['board'] != 'juno':\n",
" # Get the ID of the last available CPU\n",
" cpu_id = str(len(target.list_online_cpus())-1)\n",
"\n",
"# Fair task (1% every 8ms)\n",
"task_fr = Periodic(\n",
" period_ms=8,\n",
" duty_cycle_pct=1,\n",
" duration_s=5,\n",
" sched = {\n",
" 'policy' : 'OTHER',\n",
" 'priotity' : 130,\n",
" },\n",
" cpus=cpu_id).get()\n",
"\n",
"# RT task (20% every 16ms)\n",
"task_rt = Periodic(\n",
" period_ms=16,\n",
" duty_cycle_pct=50,\n",
" duration_s=5,\n",
" sched = {\n",
" 'policy' : 'FIFO',\n",
" 'priotity' : 90,\n",
" },\n",
" cpus=cpu_id).get()\n",
"\n",
"# Create background and foreground tasks\n",
"tasks_fr = dict.fromkeys(\n",
" ['rta_fr{}'.format(i) for i in range(1)], task_fr)\n",
"tasks_rt = dict.fromkeys(\n",
" ['rta_rt{}'.format(i) for i in range(1)], task_rt)\n",
"\n",
"# Configure background tasks\n",
"rtapp_fr = RTA(target, 'tasks_fr', calibration=te.calibration())\n",
"rtapp_fr.conf(kind='profile', params=tasks_fr);\n",
"\n",
"rtapp_rt = RTA(target, 'tasks_rt', calibration=te.calibration())\n",
"rtapp_rt.conf(kind='profile', params=tasks_rt);"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false,
"run_control": {
"frozen": false,
"marked": true,
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'0': 'schedutil',\n",
" '1': 'schedutil',\n",
" '2': 'schedutil',\n",
" '3': 'schedutil',\n",
" '4': 'schedutil',\n",
" '5': 'schedutil'}"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Enable the schedutil governor\n",
"target.cpufreq.set_all_governors('schedutil');\n",
"\n",
"for cpu_id in range(te.platform['cpus_count']):\n",
" target.cpufreq.set_governor_tunables(\n",
" cpu_id, 'schedutil', **{'rate_limit_us' : '2000'})\n",
" \n",
"target.cpufreq.get_all_governors()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Small FAIR task almost always running at maximum frequency"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false,
"run_control": {
"frozen": false,
"marked": true,
"read_only": false
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2017-02-03 12:24:21,882 INFO : Workload : Workload execution START:\n",
"2017-02-03 12:24:21,883 INFO : Workload : /root/devlib-target/bin/rt-app /root/devlib-target/tasks_fr_00.json 2>&1\n"
]
}
],
"source": [
"# Test execution wothout using cgroups\n",
"te.ftrace.start()\n",
"rtapp_fr.run(out_dir=te.res_dir)\n",
"te.ftrace.stop()\n",
"\n",
"trace_file1 = os.path.join(te.res_dir, 'trace_small_fix.dat')\n",
"te.ftrace.get_trace(trace_file1)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"code_folding": [],
"collapsed": false,
"run_control": {
"frozen": false,
"marked": true,
"read_only": false
}
},
"outputs": [
{
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" *\n",
" * 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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[6.8289449999999903, 6.8318049999999886], [6.8319709999999958, 6.8337769999999978]]}, \"watchdog/0-12\": {\"0\": [[3.0997079999999926, 3.0997459999999961]]}, \"sh-1653\": {\"0\": [[6.9938429999999983, 7.0284029999999973]], \"2\": [[6.9933849999999893, 6.9936509999999998]]}, \"jbd2/sda2-8-1303\": {\"5\": [[0.90385699999998792, 0.90459799999999291], [0.93967699999998899, 0.94012099999999066], [0.97448199999999474, 0.97457299999999236], [5.9428439999999938, 5.9428819999999973], [5.9429079999999885, 5.9439459999999968], [5.9786999999999892, 5.9790009999999967], [5.9916300000000007, 5.9917829999999981]]}, \"kworker/3:1H-1301\": {\"3\": [[5.9442829999999987, 5.9443309999999911], [5.9807299999999941, 5.9808469999999971]]}}});\n",
" }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
" </script>\n",
" </div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Check tasks residency on little clsuter\n",
"trappy.plotter.plot_trace(trace_file1)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"code_folding": [],
"collapsed": false,
"run_control": {
"frozen": false,
"marked": true,
"read_only": false
},
"scrolled": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2017-02-03 12:24:32,584 INFO : Trace : Platform clusters verified to be Frequency coherent\n"
]
}
],
"source": [
"trace1 = Trace(te.platform, trace_file1, events=my_conf['ftrace']['events'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Before patch"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2017-02-01 15:50:34,652 WARNING : Analysis : Event [sched_overutilized] not found, plot DISABLED!\n",
"2017-02-01 15:50:34,672 WARNING : Analysis : Event [sched_overutilized] not found, plot DISABLED!\n",
"2017-02-01 15:50:34,952 INFO : Analysis : LITTLE cluster average frequency: 0.670 GHz\n",
"2017-02-01 15:50:34,953 INFO : Analysis : big cluster average frequency: 1.054 GHz\n"
]
},
{
"data": {
"text/plain": [
"(0.67039151096979133, 1.0538497156366307)"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
},
{
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+XEPCsn5lk5+cAHzLPyYZ5VdXt9JGVKaTlwJLAGeD3w04i4LiJOjYgoukBJxVmwYEHZJUiFMc/K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\nFT09PaOWb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nY2jnyX2lZK6UHgR8ALyq5FmoFfAHeMWXYHsKCEWqQpOaQco/G/vwPAKc1l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\nrkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f760c34ef10>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#trace1.analysis.frequency.plotClusterFrequencies()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## After patch"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false,
"run_control": {
"marked": true
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2017-02-03 12:24:32,743 WARNING : Analysis : Event [sched_overutilized] not found, plot DISABLED!\n",
"2017-02-03 12:24:32,762 WARNING : Analysis : Event [sched_overutilized] not found, plot DISABLED!\n",
"2017-02-03 12:24:33,021 INFO : Analysis : LITTLE cluster average frequency: 0.460 GHz\n",
"2017-02-03 12:24:33,022 INFO : Analysis : big cluster average frequency: 0.600 GHz\n"
]
},
{
"data": {
"text/plain": [
"(0.45982071166449018, 0.59999999999999998)"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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SpJ6ySClJkiRJkiSppyxSSpIkSZIkSeopi5SSJEmSJEmSesoipSRJkkaIiIURsS4iHjSO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"text/plain": [
"<matplotlib.figure.Figure at 0x7f75754a2110>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"trace1.analysis.frequency.plotClusterFrequencies()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"te.ftrace.view(trace_file1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# RT task OPP affected by FAIR tasks"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false,
"run_control": {
"marked": true
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2017-02-03 12:24:37,533 INFO : Workload : Workload execution START:\n",
"2017-02-03 12:24:37,536 INFO : Workload : /root/devlib-target/bin/rt-app /root/devlib-target/tasks_rt_00.json 2>&1\n"
]
}
],
"source": [
"# Test execution wothout using cgroups\n",
"te.ftrace.start()\n",
"rtapp_fr.run(background=True, out_dir=te.res_dir)\n",
"rtapp_rt.run(out_dir=te.res_dir)\n",
"te.ftrace.stop()\n",
"\n",
"trace_file = os.path.join(te.res_dir, 'trace_rt_fix.dat')\n",
"te.ftrace.get_trace(trace_file)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false,
"run_control": {
"marked": true
}
},
"outputs": [
{
"data": {
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[[5.7680879999999917, 5.768148999999994], [5.803449999999998, 5.8040749999999974]], \"2\": [[5.7664009999999877, 5.7668159999999915]], \"3\": [[5.8377440000000007, 5.837894999999989]]}, \"sudo-1676\": {\"5\": [[6.3601719999999915, 6.3675899999999928], [6.3678429999999935, 6.3749869999999902], [6.3778539999999992, 6.3779579999999925], [6.4058479999999918, 6.4104379999999992]]}}});\n",
" }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
" </script>\n",
" </div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Check tasks residency on little clsuter\n",
"trappy.plotter.plot_trace(trace_file)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false,
"run_control": {
"marked": true
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2017-02-03 12:24:53,962 INFO : Trace : Platform clusters verified to be Frequency coherent\n"
]
}
],
"source": [
"trace = Trace(te.platform, trace_file, events=my_conf['ftrace']['events'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Before patch"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2017-02-01 16:04:03,553 WARNING : Analysis : Event [sched_overutilized] not found, plot DISABLED!\n",
"2017-02-01 16:04:03,581 WARNING : Analysis : Event [sched_overutilized] not found, plot DISABLED!\n",
"2017-02-01 16:04:03,859 INFO : Analysis : LITTLE cluster average frequency: 0.810 GHz\n",
"2017-02-01 16:04:03,860 INFO : Analysis : big cluster average frequency: 1.102 GHz\n"
]
},
{
"data": {
"text/plain": [
"(0.81042118963339638, 1.1019040313603845)"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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JkiRJkqRSWaSUJEmSJEmSVCqLlJIkSZIkSZJKZZFSkiRJfUTEvIjYFBHjWxj2roj46kjE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\nvbwa7nZUcmvXXeu3o9H28dh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t/nuqYebJ6L9TXQuhYfqM6JfTPxXtm6f3L9HUynOYtLlsCdd7avvdvrXutrABbHa2JiPs2/i4kc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\nCllh45UoyAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f7607801ed0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"trace.analysis.frequency.plotClusterFrequencies()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## After patch"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false,
"run_control": {
"marked": true
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2017-02-03 12:24:54,133 WARNING : Analysis : Event [sched_overutilized] not found, plot DISABLED!\n",
"2017-02-03 12:24:54,150 WARNING : Analysis : Event [sched_overutilized] not found, plot DISABLED!\n",
"2017-02-03 12:24:54,441 INFO : Analysis : LITTLE cluster average frequency: 0.468 GHz\n",
"2017-02-03 12:24:54,441 INFO : Analysis : big cluster average frequency: 0.838 GHz\n"
]
},
{
"data": {
"text/plain": [
"(0.46821356945651943, 0.83785140789558676)"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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EmSJEmaXSlDyuXA+zPzf2fmrsy8GthBZxg55Vzgwsz8YGZ+FvgN4EnArwBExMnA6cBv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\n1ZaOkmAk3QAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f75751c3690>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"trace.analysis.frequency.plotClusterFrequencies()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2017-02-03 14:00:13,231 WARNING : Analysis : Event [sched_overutilized] not found, plot DISABLED!\n",
"2017-02-03 14:00:13,257 WARNING : Analysis : Event [sched_overutilized] not found, plot DISABLED!\n",
"2017-02-03 14:00:13,489 INFO : Analysis : LITTLE cluster average frequency: 0.468 GHz\n",
"2017-02-03 14:00:13,490 INFO : Analysis : big cluster average frequency: 0.838 GHz\n"
]
},
{
"data": {
"text/plain": [
"(0.46821356945651943, 0.83785140789558676)"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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dytejADKzn2JRoi9ExN9HxIuBhcDicuV2gDOBtcAXI2KPiDgEeAfw6fHLVJKq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\nU5IkSZIkSVKj2PSUJEmSJEmS1Cj/D+b9xWaoR3q7AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f7575131310>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"trace.setXTimeRange(3.2,3.22)\n",
"trace.analysis.frequency.plotClusterFrequencies()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"te.ftrace.view(trace_file)"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2017-02-01 16:17:32,254 INFO : Analysis : Found: 315 WAKEUP latencies\n",
"2017-02-01 16:17:32,289 INFO : Analysis : Found: 2 PREEMPT latencies\n",
"2017-02-01 16:17:32,291 INFO : Analysis : Total: 317 latency events\n",
"2017-02-01 16:17:32,417 WARNING : Analysis : Event [sched_overutilized] not found, plot DISABLED!\n"
]
},
{
"data": {
"image/png": 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W+ppNll1M0uv1ellcXNytEAHYR9o6ab7XvQ5PHzqUnHfe4WkddAOj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\nHkqSJEmSJElq6f8Ddpa/u3Sf+RIAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f760790dd50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"latency_stats_df = trace.analysis.latency.plotLatency('rta_rt0')"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2017-02-01 16:18:13,543 WARNING : Analysis : Events [sched_load_avg_task] not found, plot DISABLED!\n"
]
}
],
"source": [
"trace.analysis.tasks.plotTasks('rta_rt0')"
]
}
],
"metadata": {
"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": "2.7.12"
},
"toc": {
"colors": {
"hover_highlight": "#DAA520",
"running_highlight": "#FF0000",
"selected_highlight": "#FFD700"
},
"moveMenuLeft": true,
"nav_menu": {
"height": "189px",
"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
}
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