plot_1hole.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns; sns.set()\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_data(model_name, task, title, generation_num):\n",
    "    data_file_path = f\"save_model_{model_name}/{task}/{title}/model_99/result_only_test_{generation_num}.npy\"\n",
    "    data = np.load(data_file_path)\n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# task_title_dict = {\n",
    "#     \"addition\": [\"3hole_1411_0-100\", (50, 50)],\n",
    "#     \"mod_addition\": [\"3hole_3187_0-113\", (56, 56)],\n",
    "#     \"base_addition\": [\"3hole_1899_0-100\", (50, 50)],\n",
    "#     \"linear_regression\": [\"3hole_2243_0-100\", (50, 50)],\n",
    "# }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "task_title_dict = {\n",
    "    \"addition\": [\"1hole_(50, 50)_10_441_0-100\", (50, 50)],\n",
    "    \"mod_addition\": [\"1hole_(56, 56)_10_441_0-113\", (56, 56)],\n",
    "    \"base_addition\": [\"1hole_(50, 50)_10_441_0-100\", (50, 50)],\n",
    "    \"linear_regression\": [\"1hole_(50, 50)_10_441_0-100\", (50, 50)],\n",
    "    \"rabbits_and_chickens\": [\"1hole_(70, 50)_10_441_0-100\", (70, 50)]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# task_title_dict = {}\n",
    "# for length in [5, 10, 15, 20]:\n",
    "#     task_title_dict[length] = f\"1hole_(50, 50)_{length}_{(2*length+1)**2}_0-100\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_name = \"gpt2\"\n",
    "generation_num = 30\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "0it [00:00, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "441\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2it [00:00,  4.90it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "441\n",
      "441\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "3it [00:00,  4.78it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "441\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "4it [00:00,  4.40it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "441\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "5it [00:01,  4.37it/s]\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x750 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ax = sns.heatmap(data)\n",
    "fig, ax = plt.subplots(2,3, figsize=(15, 7.5))\n",
    "for idx, task in tqdm(enumerate(task_title_dict.keys())):\n",
    "    title, center = task_title_dict[task]\n",
    "    rows = np.arange(center[0]-10, center[0]+10+1)\n",
    "    columns = np.arange(center[1]-10, center[1]+10+1)\n",
    "    data = get_data(model_name, task, title, generation_num)\n",
    "    print(data.size)\n",
    "    df = pd.DataFrame(data=data, columns = columns, index=rows)\n",
    "    axesSub = sns.heatmap(data=df, ax=ax[idx//3][idx%3], cmap=\"YlGnBu\")\n",
    "    # axesSub = sns.heatmap(data=df, ax=ax[idx], cmap=\"YlGnBu\")\n",
    "    title = task if task != \"rabbits_and_chickens\" else \"linear_equation\"\n",
    "    axesSub.set_title(title)\n",
    "    # axesSub.set_title(f\"$l_k$={2*10}\")\n",
    "fig.delaxes(ax[1][2])\n",
    "\n",
    "# ax = sns.heatmap(df, cmap=\"YlGnBu\")\n",
    "# fig = ax.get_figure()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<Axes: >, <Axes: >, <Axes: >, <Axes: >], dtype=object)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.savefig(\"holes.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1681"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data.size"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.6.13 ('pytorch')",
   "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": "3.6.13"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "9ebf9cfd872009544a161647ac82c48f4cc096aba58631b69e515c7576d66293"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}