autodl-projects/notebooks/TOT/synthetic-data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "filled-multiple",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The root path: /Users/xuanyidong/Desktop/AutoDL-Projects\n",
      "The library path: /Users/xuanyidong/Desktop/AutoDL-Projects/lib\n"
     ]
    }
   ],
   "source": [
    "import os, sys\n",
    "import torch\n",
    "from pathlib import Path\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "__file__ = os.path.dirname(os.path.realpath(\"__file__\"))\n",
    "root_dir = (Path(__file__).parent / \"..\").resolve()\n",
    "lib_dir = (root_dir / \"lib\").resolve()\n",
    "print(\"The root path: {:}\".format(root_dir))\n",
    "print(\"The library path: {:}\".format(lib_dir))\n",
    "assert lib_dir.exists(), \"{:} does not exist\".format(lib_dir)\n",
    "if str(lib_dir) not in sys.path:\n",
    "    sys.path.insert(0, str(lib_dir))\n",
    "\n",
    "from datasets import SinGenerator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "consistent-transition",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SinGenerator(100/100 elements,\n",
      "amplitude=QuadraticFunc(y = -12.000055313110352 * x^2 + 11.999917984008789 * x + 0.9999290108680725),\n",
      "period_phase_shift=QuarticFunc(y = 7.24642276763916 * x^4 + -14.495288848876953 * x^3 + -17.114450454711914 * x^2 + 53.0693473815918 * x + 53.0693473815918))\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def visualize_q_func():\n",
    "\n",
    "    dpi, width, height = 10, 200, 80\n",
    "    figsize = width / float(dpi), height / float(dpi)\n",
    "    LabelSize, LegendFontsize, font_gap = 40, 40, 5\n",
    "    \n",
    "    fig = plt.figure(figsize=figsize)\n",
    "    \n",
    "    dataset = SinGenerator()\n",
    "    print(dataset)\n",
    "    xaxis, yaxis = [], []\n",
    "    for idx, position, value in dataset:\n",
    "        xaxis.append(position)\n",
    "        # yaxis.append(dataset._amplitude_scale[position])\n",
    "        yaxis.append(value)\n",
    "\n",
    "    cur_ax = fig.add_subplot(1, 1, 1)\n",
    "    cur_ax.plot(xaxis, yaxis, color=\"k\", linestyle=\"-\", alpha=0.6, label=None)\n",
    "\n",
    "visualize_q_func()"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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