{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import numpy as np\n",
    "\n",
    "from src.dataset import PandemicDataset\n",
    "from src.problem import SIRProblem\n",
    "from src.dinn import DINN\n",
    "from src.plotter import Plotter\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "covid_data = np.genfromtxt('./datasets/SIR_data.csv', delimiter=',')\n",
    "dataset = PandemicDataset('synth_sir', ['S', 'I', 'R'], 7900000, *covid_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "problem = SIRProblem(dataset)\n",
    "plotter = Plotter()\n",
    "\n",
    "dinn = DINN(3, dataset, ['alpha', 'beta'], problem, plotter)\n",
    "# dinn.to_cuda()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Epoch  0\n",
      "physics loss:\t\t0.010396321068982734\n",
      "observation loss:\t1.0738464402024148\n",
      "loss:\t\t\t1.0842427612713976\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.6865299940109253\n",
      "beta:\t\t\t0.02774290181696415\n",
      "#################################\n",
      "\n",
      "Epoch  1000\n",
      "physics loss:\t\t0.005196235981264078\n",
      "observation loss:\t0.9695236485010408\n",
      "loss:\t\t\t0.9747198844823048\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.6819319725036621\n",
      "beta:\t\t\t0.03651700168848038\n",
      "#################################\n",
      "\n",
      "Epoch  2000\n",
      "physics loss:\t\t0.0019901282240750045\n",
      "observation loss:\t0.8804939253586865\n",
      "loss:\t\t\t0.8824840535827615\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.6787616610527039\n",
      "beta:\t\t\t0.04269854724407196\n",
      "#################################\n",
      "\n",
      "Epoch  3000\n",
      "physics loss:\t\t0.00023182930824499576\n",
      "observation loss:\t0.791366550880279\n",
      "loss:\t\t\t0.7915983801885239\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.6773549318313599\n",
      "beta:\t\t\t0.04554346948862076\n",
      "#################################\n",
      "\n",
      "Epoch  4000\n",
      "physics loss:\t\t0.0003071973071690024\n",
      "observation loss:\t0.703179509145284\n",
      "loss:\t\t\t0.703486706452453\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.6771180629730225\n",
      "beta:\t\t\t0.046065907925367355\n",
      "#################################\n",
      "\n",
      "Epoch  5000\n",
      "physics loss:\t\t0.003079943913624913\n",
      "observation loss:\t0.6143264371655426\n",
      "loss:\t\t\t0.6174063810791675\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.6719484329223633\n",
      "beta:\t\t\t0.057156022638082504\n",
      "#################################\n",
      "\n",
      "Epoch  6000\n",
      "physics loss:\t\t0.007972267202706433\n",
      "observation loss:\t0.534143816820428\n",
      "loss:\t\t\t0.5421160840231344\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.6621345281600952\n",
      "beta:\t\t\t0.07550708204507828\n",
      "#################################\n",
      "\n",
      "Epoch  7000\n",
      "physics loss:\t\t0.008819231117598676\n",
      "observation loss:\t0.49920489444262983\n",
      "loss:\t\t\t0.5080241255602285\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.6542975902557373\n",
      "beta:\t\t\t0.08977435529232025\n",
      "#################################\n",
      "\n",
      "Epoch  8000\n",
      "physics loss:\t\t0.007246660033840096\n",
      "observation loss:\t0.4924563123329986\n",
      "loss:\t\t\t0.4997029723668387\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.6482483744621277\n",
      "beta:\t\t\t0.10060636699199677\n",
      "#################################\n",
      "\n",
      "Epoch  9000\n",
      "physics loss:\t\t0.006418253646935498\n",
      "observation loss:\t0.4890002649883101\n",
      "loss:\t\t\t0.4954185186352456\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.6427582502365112\n",
      "beta:\t\t\t0.11013944447040558\n",
      "#################################\n",
      "\n",
      "Epoch  10000\n",
      "physics loss:\t\t0.006132327632274134\n",
      "observation loss:\t0.48239593081745546\n",
      "loss:\t\t\t0.4885282584497296\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.6371298432350159\n",
      "beta:\t\t\t0.11962554603815079\n",
      "#################################\n",
      "\n",
      "Epoch  11000\n",
      "physics loss:\t\t0.0058366924089590455\n",
      "observation loss:\t0.4648970282624025\n",
      "loss:\t\t\t0.47073372067136154\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.6312879323959351\n",
      "beta:\t\t\t0.1292823851108551\n",
      "#################################\n",
      "\n",
      "Epoch  12000\n",
      "physics loss:\t\t0.005460967355218313\n",
      "observation loss:\t0.4300409330966349\n",
      "loss:\t\t\t0.4355019004518532\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.6253373622894287\n",
      "beta:\t\t\t0.13902056217193604\n",
      "#################################\n",
      "\n",
      "Epoch  13000\n",
      "physics loss:\t\t0.004912022570178226\n",
      "observation loss:\t0.3673994880993203\n",
      "loss:\t\t\t0.3723115106694985\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.6194041967391968\n",
      "beta:\t\t\t0.14866377413272858\n",
      "#################################\n",
      "\n",
      "Epoch  14000\n",
      "physics loss:\t\t0.004311719238280419\n",
      "observation loss:\t0.2798048708661419\n",
      "loss:\t\t\t0.28411659010442236\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.6136178374290466\n",
      "beta:\t\t\t0.15790224075317383\n",
      "#################################\n",
      "\n",
      "Epoch  15000\n",
      "physics loss:\t\t0.004287147602659068\n",
      "observation loss:\t0.20130773487729986\n",
      "loss:\t\t\t0.20559488247995894\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.6076986193656921\n",
      "beta:\t\t\t0.16682715713977814\n",
      "#################################\n",
      "\n",
      "Epoch  16000\n",
      "physics loss:\t\t0.00478420109720445\n",
      "observation loss:\t0.1532298981274957\n",
      "loss:\t\t\t0.15801409922470017\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.601162314414978\n",
      "beta:\t\t\t0.1761513352394104\n",
      "#################################\n",
      "\n",
      "Epoch  17000\n",
      "physics loss:\t\t0.005375488501119714\n",
      "observation loss:\t0.1211058178357787\n",
      "loss:\t\t\t0.1264813063368984\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.5941146016120911\n",
      "beta:\t\t\t0.18607152998447418\n",
      "#################################\n",
      "\n",
      "Epoch  18000\n",
      "physics loss:\t\t0.005858284654946769\n",
      "observation loss:\t0.09697361805350954\n",
      "loss:\t\t\t0.10283190270845631\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.5868221521377563\n",
      "beta:\t\t\t0.19637274742126465\n",
      "#################################\n",
      "\n",
      "Epoch  19000\n",
      "physics loss:\t\t0.0060279956331066725\n",
      "observation loss:\t0.07887535595787001\n",
      "loss:\t\t\t0.08490335159097669\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.5795884728431702\n",
      "beta:\t\t\t0.2066286951303482\n",
      "#################################\n",
      "\n",
      "Epoch  20000\n",
      "physics loss:\t\t0.006271925940276224\n",
      "observation loss:\t0.06516642784420891\n",
      "loss:\t\t\t0.07143835378448514\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.5723686218261719\n",
      "beta:\t\t\t0.21688038110733032\n",
      "#################################\n",
      "\n",
      "Epoch  21000\n",
      "physics loss:\t\t0.007004780162633483\n",
      "observation loss:\t0.050814779254704914\n",
      "loss:\t\t\t0.0578195594173384\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.5648050308227539\n",
      "beta:\t\t\t0.22750775516033173\n",
      "#################################\n",
      "\n",
      "Epoch  22000\n",
      "physics loss:\t\t0.007852867961393034\n",
      "observation loss:\t0.03750388865905688\n",
      "loss:\t\t\t0.04535675662044991\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.5569615364074707\n",
      "beta:\t\t\t0.23837506771087646\n",
      "#################################\n",
      "\n",
      "Epoch  23000\n",
      "physics loss:\t\t0.008933840312950948\n",
      "observation loss:\t0.02495176797096532\n",
      "loss:\t\t\t0.03388560828391627\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.5488729476928711\n",
      "beta:\t\t\t0.24937812983989716\n",
      "#################################\n",
      "\n",
      "Epoch  24000\n",
      "physics loss:\t\t0.009790775790516501\n",
      "observation loss:\t0.0152877574704626\n",
      "loss:\t\t\t0.0250785332609791\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.5407022833824158\n",
      "beta:\t\t\t0.2602657973766327\n",
      "#################################\n",
      "\n",
      "Epoch  25000\n",
      "physics loss:\t\t0.010159604695599466\n",
      "observation loss:\t0.009169012522204029\n",
      "loss:\t\t\t0.019328617217803497\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.5326836109161377\n",
      "beta:\t\t\t0.2706906497478485\n",
      "#################################\n",
      "\n",
      "Epoch  26000\n",
      "physics loss:\t\t0.010110559275189276\n",
      "observation loss:\t0.00553557220835802\n",
      "loss:\t\t\t0.015646131483547297\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.5248916149139404\n",
      "beta:\t\t\t0.28055307269096375\n",
      "#################################\n",
      "\n",
      "Epoch  27000\n",
      "physics loss:\t\t0.009804496129329751\n",
      "observation loss:\t0.0033401594975366366\n",
      "loss:\t\t\t0.013144655626866387\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.5172802209854126\n",
      "beta:\t\t\t0.2899565100669861\n",
      "#################################\n",
      "\n",
      "Epoch  28000\n",
      "physics loss:\t\t0.009388017177995853\n",
      "observation loss:\t0.002050170245278043\n",
      "loss:\t\t\t0.011438187423273896\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.5097624063491821\n",
      "beta:\t\t\t0.2990640103816986\n",
      "#################################\n",
      "\n",
      "Epoch  29000\n",
      "physics loss:\t\t0.008823818507171507\n",
      "observation loss:\t0.0013494355851662939\n",
      "loss:\t\t\t0.0101732540923378\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.502281129360199\n",
      "beta:\t\t\t0.30798155069351196\n",
      "#################################\n",
      "\n",
      "Epoch  30000\n",
      "physics loss:\t\t0.008231527247174571\n",
      "observation loss:\t0.0009728155943686648\n",
      "loss:\t\t\t0.009204342841543237\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.4948141574859619\n",
      "beta:\t\t\t0.31676241755485535\n",
      "#################################\n",
      "\n",
      "Epoch  31000\n",
      "physics loss:\t\t0.0075833477248174325\n",
      "observation loss:\t0.00075511281979722\n",
      "loss:\t\t\t0.008338460544614653\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.48733630776405334\n",
      "beta:\t\t\t0.32543036341667175\n",
      "#################################\n",
      "\n",
      "Epoch  32000\n",
      "physics loss:\t\t0.006950129048168979\n",
      "observation loss:\t0.0006152975694022295\n",
      "loss:\t\t\t0.007565426617571209\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.47984370589256287\n",
      "beta:\t\t\t0.3339957296848297\n",
      "#################################\n",
      "\n",
      "Epoch  33000\n",
      "physics loss:\t\t0.006313693995554106\n",
      "observation loss:\t0.0005177227491640737\n",
      "loss:\t\t\t0.006831416744718179\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.47231999039649963\n",
      "beta:\t\t\t0.3424611985683441\n",
      "#################################\n",
      "\n",
      "Epoch  34000\n",
      "physics loss:\t\t0.005706260273383594\n",
      "observation loss:\t0.00043867672254708606\n",
      "loss:\t\t\t0.00614493699593068\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.46476253867149353\n",
      "beta:\t\t\t0.35083460807800293\n",
      "#################################\n",
      "\n",
      "Epoch  35000\n",
      "physics loss:\t\t0.005110459296283598\n",
      "observation loss:\t0.0003720786061801828\n",
      "loss:\t\t\t0.005482537902463781\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.45716995000839233\n",
      "beta:\t\t\t0.35911092162132263\n",
      "#################################\n",
      "\n",
      "Epoch  36000\n",
      "physics loss:\t\t0.004542048854659909\n",
      "observation loss:\t0.0003145226024560491\n",
      "loss:\t\t\t0.0048565714571159576\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.44954943656921387\n",
      "beta:\t\t\t0.36729371547698975\n",
      "#################################\n",
      "\n",
      "Epoch  37000\n",
      "physics loss:\t\t0.004015044073957267\n",
      "observation loss:\t0.0002655700343350497\n",
      "loss:\t\t\t0.004280614108292316\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.441893607378006\n",
      "beta:\t\t\t0.3753816783428192\n",
      "#################################\n",
      "\n",
      "Epoch  38000\n",
      "physics loss:\t\t0.0035059533568698965\n",
      "observation loss:\t0.0002219328942094126\n",
      "loss:\t\t\t0.003727886251079309\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.4342149794101715\n",
      "beta:\t\t\t0.38337039947509766\n",
      "#################################\n",
      "\n",
      "Epoch  39000\n",
      "physics loss:\t\t0.0030317700013912253\n",
      "observation loss:\t0.00018459587489306204\n",
      "loss:\t\t\t0.0032163658762842874\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.42651933431625366\n",
      "beta:\t\t\t0.3912528157234192\n",
      "#################################\n",
      "\n",
      "Epoch  40000\n",
      "physics loss:\t\t0.002588046915862277\n",
      "observation loss:\t0.0001519756686035575\n",
      "loss:\t\t\t0.0027400225844658346\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.41881248354911804\n",
      "beta:\t\t\t0.39902496337890625\n",
      "#################################\n",
      "\n",
      "Epoch  41000\n",
      "physics loss:\t\t0.002184348801606161\n",
      "observation loss:\t0.0001248617970429851\n",
      "loss:\t\t\t0.002309210598649146\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.4111001491546631\n",
      "beta:\t\t\t0.40668442845344543\n",
      "#################################\n",
      "\n",
      "Epoch  42000\n",
      "physics loss:\t\t0.001810613150546344\n",
      "observation loss:\t0.00010118388207854853\n",
      "loss:\t\t\t0.0019117970326248926\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.4033946692943573\n",
      "beta:\t\t\t0.4142225384712219\n",
      "#################################\n",
      "\n",
      "Epoch  43000\n",
      "physics loss:\t\t0.0014733944252110478\n",
      "observation loss:\t8.110386805077574e-05\n",
      "loss:\t\t\t0.0015544982932618235\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.39571070671081543\n",
      "beta:\t\t\t0.42162856459617615\n",
      "#################################\n",
      "\n",
      "Epoch  44000\n",
      "physics loss:\t\t0.0011748738977715603\n",
      "observation loss:\t6.407399867630938e-05\n",
      "loss:\t\t\t0.0012389478964478697\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.38805854320526123\n",
      "beta:\t\t\t0.4288924038410187\n",
      "#################################\n",
      "\n",
      "Epoch  45000\n",
      "physics loss:\t\t0.0009115566722487562\n",
      "observation loss:\t4.988157437000433e-05\n",
      "loss:\t\t\t0.0009614382466187606\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.3804602324962616\n",
      "beta:\t\t\t0.4359992742538452\n",
      "#################################\n",
      "\n",
      "Epoch  46000\n",
      "physics loss:\t\t0.0006856762382588572\n",
      "observation loss:\t3.7868035197398175e-05\n",
      "loss:\t\t\t0.0007235442734562554\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.37294021248817444\n",
      "beta:\t\t\t0.44293248653411865\n",
      "#################################\n",
      "\n",
      "Epoch  47000\n",
      "physics loss:\t\t0.000493881122082435\n",
      "observation loss:\t2.7788096750800123e-05\n",
      "loss:\t\t\t0.0005216692188332352\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.3655329644680023\n",
      "beta:\t\t\t0.449665367603302\n",
      "#################################\n",
      "\n",
      "Epoch  48000\n",
      "physics loss:\t\t0.0003378187473850707\n",
      "observation loss:\t1.969414369720644e-05\n",
      "loss:\t\t\t0.00035751289108227713\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.358293354511261\n",
      "beta:\t\t\t0.45615658164024353\n",
      "#################################\n",
      "\n",
      "Epoch  49000\n",
      "physics loss:\t\t0.00021585602173037588\n",
      "observation loss:\t1.3168109771474539e-05\n",
      "loss:\t\t\t0.00022902413150185043\n",
      "---------------------------------\n",
      "alpha:\t\t\t0.3512764573097229\n",
      "beta:\t\t\t0.4623661935329437\n",
      "#################################\n"
     ]
    }
   ],
   "source": [
    "dinn.train(50000, 1e-6, create_animation=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3759391788494327424\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(torch.seed())\n",
    "dinn.plot_training_graphs([1/3, 0.5])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "PINN",
   "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": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}