{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Prepared by Grigori Fursin to demo CK"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import ck.kernel as ck"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    }
   ],
   "source": [
    "print (ck.version({}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# run from CMD\n",
    "# _clean_program_pipeline.bat\n",
    "# _clean_program_pipeline.bat\n",
    "# to clean and set up autotuning pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Turn off adaptive CPU frequency governor, \n",
    "# otherwise our pipeline will detect frequency change and will stop )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    }
   ],
   "source": [
    "ii={'action':'run',\n",
    "    'module_uoa':'pipeline',\n",
    "    'data_uoa':'program',\n",
    "#    'save_to_file':'xyz.json',\n",
    "    'pipeline_from_file':'_setup_program_pipeline_tmp.json'}\n",
    "r=ck.access(ii)\n",
    "if r['return']>0:\n",
    "    ck.err(r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
     ]
    }
   ],
   "source": [
    "# check if pipeline failed\n",
    "last_iteration_output=r['last_iteration_output']\n",
    "if last_iteration_output.get('fail','')=='yes':\n",
    "    print ('Pipeline failed: '+last_iteration_output.get('fail_reason',''))\n",
    "    exit(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Get experiment desc\n",
    "experiment_desc=r['experiment_desc']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
     ]
    }
   ],
   "source": [
    "# Get stat analysis and print available flat keys\n",
    "stat_analysis=r['last_stat_analysis']\n",
    "dict_flat=stat_analysis.get('dict_flat',{})\n",
    "for k in dict_flat:\n",
    "    print (k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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