{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2021-03-01 12:28:12] Try to use the default NATS-Bench (topology) path from fast_mode=True and path=None.\n"
     ]
    }
   ],
   "source": [
    "from nats_bench import create\n",
    "import numpy as np\n",
    "\n",
    "def get_correlation(A, B):\n",
    "    return float(np.corrcoef(A, B)[0,1])\n",
    "\n",
    "# Create the API for tologoy search space\n",
    "api = create(None, 'tss', fast_mode=True, verbose=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 15625 architectures on the topology search space\n"
     ]
    }
   ],
   "source": [
    "print('There are {:} architectures on the topology search space'.format(len(api)))\n",
    "accuracies_12, accuracies_200 = [], []\n",
    "for i, arch in enumerate(api):\n",
    "    info_a = api.get_more_info(i, dataset='cifar10-valid', hp='12', is_random=False)\n",
    "    accuracies_12.append(info_a['valid-accuracy'])\n",
    "\n",
    "    info_b = api.get_more_info(i, dataset='cifar10-valid', hp='200', is_random=False)\n",
    "    accuracies_200.append(info_b['test-accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CIFAR-10] The correlation between 12-epoch validation accuracy and 200-epoch test accuracy is: 91.18%\n"
     ]
    }
   ],
   "source": [
    "correlation = get_correlation(accuracies_12, accuracies_200)\n",
    "print('[CIFAR-10] The correlation between 12-epoch validation accuracy and 200-epoch test accuracy is: {:.2f}%'.format(correlation * 100))"
   ]
  }
 ],
 "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
