{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2021-03-09 08:44:19] Try to use the default NATS-Bench (size) path from fast_mode=True and path=None.\n" ] } ], "source": [ "from nats_bench import create\n", "import numpy as np\n", "\n", "# Create the API for size search space\n", "api = create(None, 'sss', fast_mode=True, verbose=False)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "There are 32768 architectures on the size search space\n" ] } ], "source": [ "print('There are {:} architectures on the size search space'.format(len(api)))\n", "\n", "c2acc = dict()\n", "for index in range(len(api)):\n", " info = api.get_more_info(index, 'cifar10', hp='90')\n", " config = api.get_net_config(index, 'cifar10')\n", " c2acc[config['channels']] = info['test-accuracy']" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "91.08546417236329\n" ] } ], "source": [ "print(np.mean(list(c2acc.values())))" ] } ], "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 }