{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tool to extract usefull information from mlperf trace"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 3600x2400 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "# Ignore warnings\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import json\n",
    "import os\n",
    "import seaborn as sns\n",
    "from operator import itemgetter\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "figsize=(10, 5)\n",
    "font=10\n",
    "\n",
    "plt.figure(dpi=600)\n",
    "plt.rc('xtick', labelsize=font) \n",
    "plt.rc('font', size=font)\n",
    "sns.set(font_scale=1.4, style=\"whitegrid\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def trace_to_df(fname):\n",
    "    with open(fname, \"r\") as f:\n",
    "        j = json.load(f)\n",
    "    if type(j) == dict:\n",
    "        j = j['traceEvents']\n",
    "        \n",
    "    result = []\n",
    "    for item in j:\n",
    "        name = item['name']\n",
    "        if name not in [\"Latency\", \"Sample\", \"QuerySamplesComplete\", \"IssueQuery\"]:\n",
    "            continue\n",
    "\n",
    "        args = item.get('args')\n",
    "        d = {\"ts\": item['ts'], \"name\": name, \"dur\": item.get(\"dur\")}\n",
    "\n",
    "        if name == \"Latency\":\n",
    "            d[\"issue_delay\"] = args[\"issue_delay\"]\n",
    "            d[\"issue_to_done\"] = args[\"issue_to_done\"] / 1e3\n",
    "            result.append(d)\n",
    "        elif name == \"Sample\":\n",
    "            if args:\n",
    "                d[\"issue_start_ns\"] = args[\"issue_start_ns\"]\n",
    "                d[\"complete_ns\"] = args[\"complete_ns\"]\n",
    "                d[\"issue_to_done\"] = (args[\"complete_ns\"] - args[\"issue_start_ns\"]) / 1e3\n",
    "                result.append(d)\n",
    "        elif name == \"QuerySamplesComplete\":\n",
    "            result.append(d)\n",
    "        elif name == \"IssueQuery\":\n",
    "            result.append(d)\n",
    "\n",
    "    df = pd.DataFrame(result)\n",
    "    df = df.sort_values(by=[\"ts\"])\n",
    "    return df\n",
    "\n",
    "BINS = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ts</th>\n",
       "      <th>dur</th>\n",
       "      <th>issue_delay</th>\n",
       "      <th>issue_to_done</th>\n",
       "      <th>issue_start_ns</th>\n",
       "      <th>complete_ns</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.000000e+04</td>\n",
       "      <td>10000.000000</td>\n",
       "      <td>5.000000e+03</td>\n",
       "      <td>10000.000000</td>\n",
       "      <td>5.000000e+03</td>\n",
       "      <td>5.000000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.894584e+07</td>\n",
       "      <td>17.731682</td>\n",
       "      <td>7.001508e+04</td>\n",
       "      <td>6112.554491</td>\n",
       "      <td>7.001508e+04</td>\n",
       "      <td>6.182570e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.839099e+07</td>\n",
       "      <td>25.578639</td>\n",
       "      <td>9.666462e+04</td>\n",
       "      <td>2254.077235</td>\n",
       "      <td>9.666462e+04</td>\n",
       "      <td>2.263719e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.102560e+03</td>\n",
       "      <td>1.152000</td>\n",
       "      <td>8.810000e+02</td>\n",
       "      <td>2754.967000</td>\n",
       "      <td>8.810000e+02</td>\n",
       "      <td>2.780383e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.463025e+07</td>\n",
       "      <td>3.974750</td>\n",
       "      <td>5.806250e+04</td>\n",
       "      <td>4100.473000</td>\n",
       "      <td>5.806250e+04</td>\n",
       "      <td>4.166623e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.881766e+07</td>\n",
       "      <td>7.364000</td>\n",
       "      <td>6.159800e+04</td>\n",
       "      <td>6089.880000</td>\n",
       "      <td>6.159800e+04</td>\n",
       "      <td>6.155939e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.373552e+07</td>\n",
       "      <td>27.441000</td>\n",
       "      <td>6.835175e+04</td>\n",
       "      <td>7337.257000</td>\n",
       "      <td>6.835175e+04</td>\n",
       "      <td>7.408272e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>9.832065e+07</td>\n",
       "      <td>508.552000</td>\n",
       "      <td>6.522433e+06</td>\n",
       "      <td>22234.101000</td>\n",
       "      <td>6.522433e+06</td>\n",
       "      <td>2.414005e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 ts           dur   issue_delay  issue_to_done  \\\n",
       "count  2.000000e+04  10000.000000  5.000000e+03   10000.000000   \n",
       "mean   4.894584e+07     17.731682  7.001508e+04    6112.554491   \n",
       "std    2.839099e+07     25.578639  9.666462e+04    2254.077235   \n",
       "min    4.102560e+03      1.152000  8.810000e+02    2754.967000   \n",
       "25%    2.463025e+07      3.974750  5.806250e+04    4100.473000   \n",
       "50%    4.881766e+07      7.364000  6.159800e+04    6089.880000   \n",
       "75%    7.373552e+07     27.441000  6.835175e+04    7337.257000   \n",
       "max    9.832065e+07    508.552000  6.522433e+06   22234.101000   \n",
       "\n",
       "       issue_start_ns   complete_ns  \n",
       "count    5.000000e+03  5.000000e+03  \n",
       "mean     7.001508e+04  6.182570e+06  \n",
       "std      9.666462e+04  2.263719e+06  \n",
       "min      8.810000e+02  2.780383e+06  \n",
       "25%      5.806250e+04  4.166623e+06  \n",
       "50%      6.159800e+04  6.155939e+06  \n",
       "75%      6.835175e+04  7.408272e+06  \n",
       "max      6.522433e+06  2.414005e+07  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = trace_to_df('/tmp/mlperf_log_trace.json')\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df[df[\"name\"].isin([\"IssueQuery\"])]\n",
    "df1['delta'] = df1['ts'].diff()\n",
    "ax = df1['dur'].plot.hist(bins=BINS, alpha=0.5, figsize=figsize)\n",
    "ax.set_title('IssueQuery duration (usec)');\n",
    "plt.show()\n",
    "ax = df1['delta'].plot.hist(bins=BINS, alpha=0.5, figsize=figsize)\n",
    "ax.set_title('Time between IssueQuery (usec)');\n",
    "\n",
    "# df1['delta'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for SingleStream\n",
    "if False:\n",
    "    df1 = df[df[\"name\"].isin([\"QuerySamplesComplete\"])]\n",
    "    ax = df1['dur'].plot.hist(bins=BINS, alpha=0.5, figsize=figsize)\n",
    "    ax.set_title('Inference time (usec)');\n",
    "    plt.show()\n",
    "    ax = df1['dur'].plot(figsize=figsize)\n",
    "    ax.set(ylim=(0, 100))\n",
    "    ax.set_title('Individual inference time (usec)');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df[df[\"name\"].isin([\"Latency\"])]\n",
    "ax = df1['issue_to_done'].plot.hist(bins=BINS, alpha=0.5, figsize=figsize)\n",
    "ax.set_title('Inference time (usec)');\n",
    "#ax.set(xlim=(0, 25000))\n",
    "plt.xticks(rotation=60)\n",
    "plt.show()\n",
    "\n",
    "ax = df1['issue_to_done'].plot(figsize=figsize)\n",
    "ax.set_title('Individual inference time (usec)');\n",
    "#ax.set(ylim=(0, 200))\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# df1['issue_to_done'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df[df[\"name\"].isin([\"QuerySamplesComplete\"])]\n",
    "df1['delta'] = df1['ts'].diff()\n",
    "ax = df1['delta'].plot.hist(bins=BINS, alpha=0.5, figsize=figsize)\n",
    "ax.set_title('Time between QuerySamplesComplete (usec)');\n",
    "plt.show()\n",
    "\n",
    "ax = df1['dur'].plot.hist(bins=BINS, alpha=0.5, figsize=figsize)\n",
    "ax.set_title('Time QuerySamplesComplete (usec)');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}