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| { | ||||
|  "cells": [ | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 1, | ||||
|    "metadata": {}, | ||||
|    "outputs": [ | ||||
|     { | ||||
|      "name": "stdout", | ||||
|      "output_type": "stream", | ||||
|      "text": [ | ||||
|       "[2021-03-27 06:46:38] Try to use the default NATS-Bench (topology) path from fast_mode=True and path=None.\n" | ||||
|      ] | ||||
|     } | ||||
|    ], | ||||
|    "source": [ | ||||
|     "from nats_bench import create\n", | ||||
|     "from pprint import pprint\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": [ | ||||
|       "{'test-accuracy': 22.39999992879232,\n", | ||||
|       " 'test-all-time': 7.7054752962929856,\n", | ||||
|       " 'test-loss': 3.1626377182006835,\n", | ||||
|       " 'test-per-time': 0.6421229413577488,\n", | ||||
|       " 'train-accuracy': 21.68885959195242,\n", | ||||
|       " 'train-all-time': 1260.0195466594694,\n", | ||||
|       " 'train-loss': 3.1863493608815463,\n", | ||||
|       " 'train-per-time': 105.00162888828912,\n", | ||||
|       " 'valid-accuracy': 23.266666631062826,\n", | ||||
|       " 'valid-all-time': 7.7054752962929856,\n", | ||||
|       " 'valid-loss': 3.1219845104217527,\n", | ||||
|       " 'valid-per-time': 0.6421229413577488,\n", | ||||
|       " 'valtest-accuracy': 22.833333323160808,\n", | ||||
|       " 'valtest-all-time': 15.410950592585971,\n", | ||||
|       " 'valtest-loss': 3.142311067581177,\n", | ||||
|       " 'valtest-per-time': 1.2842458827154977}\n" | ||||
|      ] | ||||
|     } | ||||
|    ], | ||||
|    "source": [ | ||||
|     "largest_candidate_tss = '|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|'\n", | ||||
|     "\n", | ||||
|     "arch_index = api.query_index_by_arch(largest_candidate_tss)\n", | ||||
|     "info = api.get_more_info(arch_index, 'ImageNet16-120', hp='12', is_random=False)\n", | ||||
|     "pprint(info)" | ||||
|    ] | ||||
|   }, | ||||
|   { | ||||
|    "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": "3.8.8" | ||||
|   } | ||||
|  }, | ||||
|  "nbformat": 4, | ||||
|  "nbformat_minor": 4 | ||||
| } | ||||
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