spno_multiple_eps.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3c06b97b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "from torch.nn.parameter import Parameter\n",
    "import matplotlib.pyplot as plt\n",
    "import operator\n",
    "from functools import reduce\n",
    "from functools import partial\n",
    "from timeit import default_timer\n",
    "from utilities3 import *\n",
    "from Adam import Adam\n",
    "from scipy import integrate\n",
    "from SPNO_me_1d import *\n",
    "from scipy.stats import multivariate_normal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "25b440fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "x_data = np.load('data/spde_mul_x.npy')\n",
    "y_data = np.load('data/spde_mul_y.npy')\n",
    "eps = x_data[:,-1][:,None]\n",
    "\n",
    "x_grid = np.linspace(0, 1, x_data.shape[-1])\n",
    "\n",
    "ntrain = 900\n",
    "ntest = 100\n",
    "\n",
    "batch_size = 50\n",
    "learning_rate = 0.001\n",
    "\n",
    "epochs = 500\n",
    "step_size = 50\n",
    "gamma = 0.5\n",
    "\n",
    "modes = 16\n",
    "width = 64\n",
    "\n",
    "x_data = x_data[:,::5]\n",
    "y_data = y_data[:,::5]\n",
    "x_grid = x_grid[::5]\n",
    "\n",
    "x_data = np.concatenate((x_data,eps),-1)\n",
    "\n",
    "x_train = x_data[:ntrain]\n",
    "y_train = y_data[:ntrain]\n",
    "x_test = x_data[-ntest:]\n",
    "y_test = y_data[-ntest:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f7b319b9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total parameters: 1464842\n",
      "epoch 1/500 L2 = 1.203546, MSE = 0.300348, using 3.648235s\n",
      "epoch 2/500 L2 = 0.412895, MSE = 0.027763, using 0.625440s\n",
      "epoch 3/500 L2 = 0.212085, MSE = 0.005841, using 0.630718s\n",
      "epoch 4/500 L2 = 0.157633, MSE = 0.003469, using 0.616202s\n",
      "epoch 5/500 L2 = 0.140567, MSE = 0.002508, using 0.619457s\n",
      "epoch 6/500 L2 = 0.119743, MSE = 0.002114, using 0.620013s\n",
      "epoch 7/500 L2 = 0.123384, MSE = 0.002506, using 0.620675s\n",
      "epoch 8/500 L2 = 0.110439, MSE = 0.001633, using 0.629487s\n",
      "epoch 9/500 L2 = 0.076653, MSE = 0.000753, using 0.619971s\n",
      "epoch 10/500 L2 = 0.075468, MSE = 0.000726, using 0.631296s\n",
      "epoch 11/500 L2 = 0.130392, MSE = 0.002914, using 0.631595s\n",
      "epoch 12/500 L2 = 0.089243, MSE = 0.001180, using 0.636012s\n",
      "epoch 13/500 L2 = 0.077433, MSE = 0.000799, using 0.622187s\n",
      "epoch 14/500 L2 = 0.087427, MSE = 0.000908, using 0.615316s\n",
      "epoch 15/500 L2 = 0.063220, MSE = 0.000601, using 0.638769s\n",
      "epoch 16/500 L2 = 0.064121, MSE = 0.000583, using 0.623628s\n",
      "epoch 17/500 L2 = 0.060587, MSE = 0.000541, using 0.614677s\n",
      "epoch 18/500 L2 = 0.061751, MSE = 0.000466, using 0.628403s\n",
      "epoch 19/500 L2 = 0.056492, MSE = 0.000453, using 0.633536s\n",
      "epoch 20/500 L2 = 0.055827, MSE = 0.000499, using 0.634072s\n",
      "epoch 21/500 L2 = 0.069960, MSE = 0.000755, using 0.626593s\n",
      "epoch 22/500 L2 = 0.077911, MSE = 0.001205, using 0.621686s\n",
      "epoch 23/500 L2 = 0.065870, MSE = 0.000698, using 0.609259s\n",
      "epoch 24/500 L2 = 0.048756, MSE = 0.000324, using 0.592449s\n",
      "epoch 25/500 L2 = 0.051749, MSE = 0.000511, using 0.639916s\n",
      "epoch 26/500 L2 = 0.095028, MSE = 0.001172, using 0.619547s\n",
      "epoch 27/500 L2 = 0.065495, MSE = 0.000658, using 0.635335s\n",
      "epoch 28/500 L2 = 0.040855, MSE = 0.000219, using 0.616853s\n",
      "epoch 29/500 L2 = 0.046611, MSE = 0.000313, using 0.637287s\n",
      "epoch 30/500 L2 = 0.042049, MSE = 0.000240, using 0.617145s\n",
      "epoch 31/500 L2 = 0.069615, MSE = 0.000567, using 0.623080s\n",
      "epoch 32/500 L2 = 0.060154, MSE = 0.000414, using 0.604819s\n",
      "epoch 33/500 L2 = 0.049403, MSE = 0.000397, using 0.611562s\n",
      "epoch 34/500 L2 = 0.050263, MSE = 0.000496, using 0.625166s\n",
      "epoch 35/500 L2 = 0.067162, MSE = 0.000776, using 0.613533s\n",
      "epoch 36/500 L2 = 0.058194, MSE = 0.000357, using 0.622127s\n",
      "epoch 37/500 L2 = 0.048961, MSE = 0.000230, using 0.648260s\n",
      "epoch 38/500 L2 = 0.031232, MSE = 0.000117, using 0.621148s\n",
      "epoch 39/500 L2 = 0.038481, MSE = 0.000178, using 0.618950s\n",
      "epoch 40/500 L2 = 0.050782, MSE = 0.000437, using 0.609352s\n",
      "epoch 41/500 L2 = 0.052489, MSE = 0.000432, using 0.614425s\n",
      "epoch 42/500 L2 = 0.034439, MSE = 0.000163, using 0.619471s\n",
      "epoch 43/500 L2 = 0.042255, MSE = 0.000248, using 0.616473s\n",
      "epoch 44/500 L2 = 0.044125, MSE = 0.000260, using 0.625755s\n",
      "epoch 45/500 L2 = 0.040250, MSE = 0.000228, using 0.627081s\n",
      "epoch 46/500 L2 = 0.037353, MSE = 0.000177, using 0.615824s\n",
      "epoch 47/500 L2 = 0.046484, MSE = 0.000288, using 0.633843s\n",
      "epoch 48/500 L2 = 0.052577, MSE = 0.000555, using 0.616580s\n",
      "epoch 49/500 L2 = 0.054148, MSE = 0.000429, using 0.622415s\n",
      "epoch 50/500 L2 = 0.040551, MSE = 0.000178, using 0.631073s\n",
      "epoch 51/500 L2 = 0.028865, MSE = 0.000082, using 0.603914s\n",
      "epoch 52/500 L2 = 0.021508, MSE = 0.000035, using 0.617667s\n",
      "epoch 53/500 L2 = 0.022630, MSE = 0.000055, using 0.619198s\n",
      "epoch 54/500 L2 = 0.030721, MSE = 0.000082, using 0.623411s\n",
      "epoch 55/500 L2 = 0.031629, MSE = 0.000136, using 0.620819s\n",
      "epoch 56/500 L2 = 0.028669, MSE = 0.000104, using 0.631507s\n",
      "epoch 57/500 L2 = 0.022113, MSE = 0.000056, using 0.617266s\n",
      "epoch 58/500 L2 = 0.021249, MSE = 0.000054, using 0.612544s\n",
      "epoch 59/500 L2 = 0.024393, MSE = 0.000080, using 0.624636s\n",
      "epoch 60/500 L2 = 0.026235, MSE = 0.000083, using 0.618426s\n",
      "epoch 61/500 L2 = 0.027844, MSE = 0.000121, using 0.618499s\n",
      "epoch 62/500 L2 = 0.027583, MSE = 0.000105, using 0.628799s\n",
      "epoch 63/500 L2 = 0.027148, MSE = 0.000107, using 0.637036s\n",
      "epoch 64/500 L2 = 0.024178, MSE = 0.000076, using 0.609177s\n",
      "epoch 65/500 L2 = 0.026306, MSE = 0.000091, using 0.613559s\n",
      "epoch 66/500 L2 = 0.020653, MSE = 0.000052, using 0.617421s\n",
      "epoch 67/500 L2 = 0.020091, MSE = 0.000045, using 0.618032s\n",
      "epoch 68/500 L2 = 0.022154, MSE = 0.000054, using 0.614973s\n",
      "epoch 69/500 L2 = 0.024867, MSE = 0.000062, using 0.620079s\n",
      "epoch 70/500 L2 = 0.029971, MSE = 0.000116, using 0.612896s\n",
      "epoch 71/500 L2 = 0.025755, MSE = 0.000086, using 0.622160s\n",
      "epoch 72/500 L2 = 0.020795, MSE = 0.000044, using 0.613150s\n",
      "epoch 73/500 L2 = 0.021349, MSE = 0.000052, using 0.627396s\n",
      "epoch 74/500 L2 = 0.020521, MSE = 0.000047, using 0.622057s\n",
      "epoch 75/500 L2 = 0.022077, MSE = 0.000044, using 0.615876s\n",
      "epoch 76/500 L2 = 0.027072, MSE = 0.000096, using 0.612556s\n",
      "epoch 77/500 L2 = 0.036113, MSE = 0.000208, using 0.615228s\n",
      "epoch 78/500 L2 = 0.029654, MSE = 0.000129, using 0.613731s\n",
      "epoch 79/500 L2 = 0.027382, MSE = 0.000141, using 0.614062s\n",
      "epoch 80/500 L2 = 0.022348, MSE = 0.000070, using 0.558256s\n",
      "epoch 81/500 L2 = 0.018050, MSE = 0.000037, using 0.471875s\n",
      "epoch 82/500 L2 = 0.021339, MSE = 0.000057, using 0.396334s\n",
      "epoch 83/500 L2 = 0.024677, MSE = 0.000089, using 0.374162s\n",
      "epoch 84/500 L2 = 0.019477, MSE = 0.000045, using 0.376456s\n",
      "epoch 85/500 L2 = 0.019701, MSE = 0.000051, using 0.374534s\n",
      "epoch 86/500 L2 = 0.024434, MSE = 0.000087, using 0.376022s\n",
      "epoch 87/500 L2 = 0.025155, MSE = 0.000066, using 0.371975s\n",
      "epoch 88/500 L2 = 0.020536, MSE = 0.000045, using 0.374460s\n",
      "epoch 89/500 L2 = 0.021867, MSE = 0.000065, using 0.375068s\n",
      "epoch 90/500 L2 = 0.025025, MSE = 0.000083, using 0.370485s\n",
      "epoch 91/500 L2 = 0.033321, MSE = 0.000168, using 0.369399s\n",
      "epoch 92/500 L2 = 0.036008, MSE = 0.000201, using 0.370207s\n",
      "epoch 93/500 L2 = 0.035679, MSE = 0.000195, using 0.374588s\n",
      "epoch 94/500 L2 = 0.022206, MSE = 0.000050, using 0.372169s\n",
      "epoch 95/500 L2 = 0.020177, MSE = 0.000046, using 0.370618s\n",
      "epoch 96/500 L2 = 0.017740, MSE = 0.000031, using 0.366693s\n",
      "epoch 97/500 L2 = 0.022759, MSE = 0.000074, using 0.369966s\n",
      "epoch 98/500 L2 = 0.019408, MSE = 0.000046, using 0.373444s\n",
      "epoch 99/500 L2 = 0.022123, MSE = 0.000062, using 0.375170s\n",
      "epoch 100/500 L2 = 0.026484, MSE = 0.000100, using 0.374236s\n",
      "epoch 101/500 L2 = 0.020827, MSE = 0.000055, using 0.374790s\n",
      "epoch 102/500 L2 = 0.014846, MSE = 0.000021, using 0.374208s\n",
      "epoch 103/500 L2 = 0.012232, MSE = 0.000012, using 0.370222s\n",
      "epoch 104/500 L2 = 0.012239, MSE = 0.000013, using 0.371065s\n",
      "epoch 105/500 L2 = 0.013607, MSE = 0.000019, using 0.370961s\n",
      "epoch 106/500 L2 = 0.014464, MSE = 0.000021, using 0.370592s\n",
      "epoch 107/500 L2 = 0.015665, MSE = 0.000032, using 0.377201s\n",
      "epoch 108/500 L2 = 0.012261, MSE = 0.000016, using 0.374516s\n",
      "epoch 109/500 L2 = 0.014234, MSE = 0.000025, using 0.379001s\n",
      "epoch 110/500 L2 = 0.012934, MSE = 0.000015, using 0.379478s\n",
      "epoch 111/500 L2 = 0.012750, MSE = 0.000012, using 0.379707s\n",
      "epoch 112/500 L2 = 0.011984, MSE = 0.000014, using 0.373570s\n",
      "epoch 113/500 L2 = 0.012161, MSE = 0.000011, using 0.374839s\n",
      "epoch 114/500 L2 = 0.012091, MSE = 0.000013, using 0.372122s\n",
      "epoch 115/500 L2 = 0.012205, MSE = 0.000015, using 0.375902s\n",
      "epoch 116/500 L2 = 0.011194, MSE = 0.000011, using 0.376627s\n",
      "epoch 117/500 L2 = 0.012403, MSE = 0.000014, using 0.369594s\n",
      "epoch 118/500 L2 = 0.013071, MSE = 0.000013, using 0.371738s\n",
      "epoch 119/500 L2 = 0.012830, MSE = 0.000017, using 0.375874s\n",
      "epoch 120/500 L2 = 0.011952, MSE = 0.000014, using 0.371448s\n",
      "epoch 121/500 L2 = 0.010810, MSE = 0.000008, using 0.373238s\n",
      "epoch 122/500 L2 = 0.013509, MSE = 0.000016, using 0.374005s\n",
      "epoch 123/500 L2 = 0.012259, MSE = 0.000012, using 0.372113s\n",
      "epoch 124/500 L2 = 0.013319, MSE = 0.000018, using 0.375317s\n",
      "epoch 125/500 L2 = 0.014373, MSE = 0.000021, using 0.375352s\n",
      "epoch 126/500 L2 = 0.013541, MSE = 0.000014, using 0.376036s\n",
      "epoch 127/500 L2 = 0.011944, MSE = 0.000012, using 0.372079s\n",
      "epoch 128/500 L2 = 0.010857, MSE = 0.000009, using 0.368501s\n",
      "epoch 129/500 L2 = 0.011766, MSE = 0.000013, using 0.385791s\n",
      "epoch 130/500 L2 = 0.016823, MSE = 0.000038, using 0.405402s\n",
      "epoch 131/500 L2 = 0.014787, MSE = 0.000023, using 0.377011s\n",
      "epoch 132/500 L2 = 0.013327, MSE = 0.000014, using 0.375356s\n",
      "epoch 133/500 L2 = 0.013623, MSE = 0.000020, using 0.371289s\n",
      "epoch 134/500 L2 = 0.012354, MSE = 0.000015, using 0.375592s\n",
      "epoch 135/500 L2 = 0.012150, MSE = 0.000012, using 0.374910s\n",
      "epoch 136/500 L2 = 0.012506, MSE = 0.000012, using 0.373383s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 137/500 L2 = 0.014625, MSE = 0.000020, using 0.373817s\n",
      "epoch 138/500 L2 = 0.011730, MSE = 0.000013, using 0.374104s\n",
      "epoch 139/500 L2 = 0.011119, MSE = 0.000010, using 0.370547s\n",
      "epoch 140/500 L2 = 0.012993, MSE = 0.000015, using 0.371802s\n",
      "epoch 141/500 L2 = 0.014083, MSE = 0.000020, using 0.370141s\n",
      "epoch 142/500 L2 = 0.013165, MSE = 0.000016, using 0.371965s\n",
      "epoch 143/500 L2 = 0.011304, MSE = 0.000010, using 0.378621s\n",
      "epoch 144/500 L2 = 0.011651, MSE = 0.000011, using 0.377392s\n",
      "epoch 145/500 L2 = 0.013601, MSE = 0.000017, using 0.379260s\n",
      "epoch 146/500 L2 = 0.012878, MSE = 0.000014, using 0.375765s\n",
      "epoch 147/500 L2 = 0.011751, MSE = 0.000010, using 0.373462s\n",
      "epoch 148/500 L2 = 0.014405, MSE = 0.000023, using 0.373845s\n",
      "epoch 149/500 L2 = 0.015544, MSE = 0.000037, using 0.374571s\n",
      "epoch 150/500 L2 = 0.015383, MSE = 0.000022, using 0.374636s\n",
      "epoch 151/500 L2 = 0.011412, MSE = 0.000011, using 0.372987s\n",
      "epoch 152/500 L2 = 0.010849, MSE = 0.000011, using 0.369616s\n",
      "epoch 153/500 L2 = 0.008865, MSE = 0.000005, using 0.372475s\n",
      "epoch 154/500 L2 = 0.009377, MSE = 0.000008, using 0.375688s\n",
      "epoch 155/500 L2 = 0.010058, MSE = 0.000008, using 0.375369s\n",
      "epoch 156/500 L2 = 0.011821, MSE = 0.000012, using 0.375202s\n",
      "epoch 157/500 L2 = 0.010804, MSE = 0.000012, using 0.374241s\n",
      "epoch 158/500 L2 = 0.009480, MSE = 0.000007, using 0.373964s\n",
      "epoch 159/500 L2 = 0.009604, MSE = 0.000006, using 0.376312s\n",
      "epoch 160/500 L2 = 0.008724, MSE = 0.000005, using 0.378315s\n",
      "epoch 161/500 L2 = 0.008085, MSE = 0.000005, using 0.379506s\n",
      "epoch 162/500 L2 = 0.008858, MSE = 0.000005, using 0.375479s\n",
      "epoch 163/500 L2 = 0.009230, MSE = 0.000006, using 0.374161s\n",
      "epoch 164/500 L2 = 0.008573, MSE = 0.000005, using 0.371485s\n",
      "epoch 165/500 L2 = 0.008745, MSE = 0.000005, using 0.374486s\n",
      "epoch 166/500 L2 = 0.009667, MSE = 0.000006, using 0.371024s\n",
      "epoch 167/500 L2 = 0.009431, MSE = 0.000006, using 0.373460s\n",
      "epoch 168/500 L2 = 0.009477, MSE = 0.000006, using 0.373748s\n",
      "epoch 169/500 L2 = 0.008784, MSE = 0.000005, using 0.373238s\n",
      "epoch 170/500 L2 = 0.008304, MSE = 0.000004, using 0.374970s\n",
      "epoch 171/500 L2 = 0.008764, MSE = 0.000005, using 0.370846s\n",
      "epoch 172/500 L2 = 0.008609, MSE = 0.000005, using 0.372634s\n",
      "epoch 173/500 L2 = 0.008162, MSE = 0.000004, using 0.370859s\n",
      "epoch 174/500 L2 = 0.009305, MSE = 0.000005, using 0.369784s\n",
      "epoch 175/500 L2 = 0.008821, MSE = 0.000006, using 0.370134s\n",
      "epoch 176/500 L2 = 0.009055, MSE = 0.000008, using 0.372844s\n",
      "epoch 177/500 L2 = 0.009530, MSE = 0.000009, using 0.369492s\n",
      "epoch 178/500 L2 = 0.009977, MSE = 0.000006, using 0.373809s\n",
      "epoch 179/500 L2 = 0.009604, MSE = 0.000007, using 0.368940s\n",
      "epoch 180/500 L2 = 0.008917, MSE = 0.000007, using 0.371835s\n",
      "epoch 181/500 L2 = 0.009534, MSE = 0.000007, using 0.371081s\n",
      "epoch 182/500 L2 = 0.009573, MSE = 0.000007, using 0.375445s\n",
      "epoch 183/500 L2 = 0.010072, MSE = 0.000009, using 0.374268s\n",
      "epoch 184/500 L2 = 0.011907, MSE = 0.000015, using 0.375015s\n",
      "epoch 185/500 L2 = 0.011266, MSE = 0.000015, using 0.374292s\n",
      "epoch 186/500 L2 = 0.009631, MSE = 0.000007, using 0.367985s\n",
      "epoch 187/500 L2 = 0.009156, MSE = 0.000007, using 0.368558s\n",
      "epoch 188/500 L2 = 0.008755, MSE = 0.000006, using 0.370163s\n",
      "epoch 189/500 L2 = 0.008509, MSE = 0.000005, using 0.367487s\n",
      "epoch 190/500 L2 = 0.009954, MSE = 0.000009, using 0.367980s\n",
      "epoch 191/500 L2 = 0.009119, MSE = 0.000006, using 0.370832s\n",
      "epoch 192/500 L2 = 0.008320, MSE = 0.000005, using 0.370762s\n",
      "epoch 193/500 L2 = 0.009794, MSE = 0.000009, using 0.370897s\n",
      "epoch 194/500 L2 = 0.009997, MSE = 0.000009, using 0.375039s\n",
      "epoch 195/500 L2 = 0.009316, MSE = 0.000007, using 0.370798s\n",
      "epoch 196/500 L2 = 0.009119, MSE = 0.000007, using 0.368669s\n",
      "epoch 197/500 L2 = 0.009619, MSE = 0.000006, using 0.371386s\n",
      "epoch 198/500 L2 = 0.009372, MSE = 0.000006, using 0.372457s\n",
      "epoch 199/500 L2 = 0.009173, MSE = 0.000006, using 0.371004s\n",
      "epoch 200/500 L2 = 0.009534, MSE = 0.000006, using 0.374323s\n",
      "epoch 201/500 L2 = 0.008036, MSE = 0.000004, using 0.372442s\n",
      "epoch 202/500 L2 = 0.007341, MSE = 0.000003, using 0.374517s\n",
      "epoch 203/500 L2 = 0.007404, MSE = 0.000003, using 0.369735s\n",
      "epoch 204/500 L2 = 0.007499, MSE = 0.000003, using 0.373316s\n",
      "epoch 205/500 L2 = 0.007222, MSE = 0.000003, using 0.373698s\n",
      "epoch 206/500 L2 = 0.007238, MSE = 0.000004, using 0.373898s\n",
      "epoch 207/500 L2 = 0.006867, MSE = 0.000003, using 0.371935s\n",
      "epoch 208/500 L2 = 0.007382, MSE = 0.000004, using 0.372840s\n",
      "epoch 209/500 L2 = 0.007663, MSE = 0.000004, using 0.375549s\n",
      "epoch 210/500 L2 = 0.007221, MSE = 0.000003, using 0.374766s\n",
      "epoch 211/500 L2 = 0.007287, MSE = 0.000004, using 0.370769s\n",
      "epoch 212/500 L2 = 0.007516, MSE = 0.000004, using 0.370787s\n",
      "epoch 213/500 L2 = 0.007236, MSE = 0.000003, using 0.372059s\n",
      "epoch 214/500 L2 = 0.007668, MSE = 0.000004, using 0.368924s\n",
      "epoch 215/500 L2 = 0.007885, MSE = 0.000005, using 0.370409s\n",
      "epoch 216/500 L2 = 0.007342, MSE = 0.000004, using 0.372908s\n",
      "epoch 217/500 L2 = 0.007195, MSE = 0.000003, using 0.371986s\n",
      "epoch 218/500 L2 = 0.007900, MSE = 0.000005, using 0.371855s\n",
      "epoch 219/500 L2 = 0.007264, MSE = 0.000003, using 0.371533s\n",
      "epoch 220/500 L2 = 0.007112, MSE = 0.000003, using 0.373510s\n",
      "epoch 221/500 L2 = 0.006808, MSE = 0.000003, using 0.375209s\n",
      "epoch 222/500 L2 = 0.006987, MSE = 0.000003, using 0.375430s\n",
      "epoch 223/500 L2 = 0.007161, MSE = 0.000004, using 0.374553s\n",
      "epoch 224/500 L2 = 0.007739, MSE = 0.000004, using 0.374598s\n",
      "epoch 225/500 L2 = 0.007604, MSE = 0.000004, using 0.370795s\n",
      "epoch 226/500 L2 = 0.007170, MSE = 0.000003, using 0.375676s\n",
      "epoch 227/500 L2 = 0.008023, MSE = 0.000005, using 0.368807s\n",
      "epoch 228/500 L2 = 0.007246, MSE = 0.000004, using 0.373053s\n",
      "epoch 229/500 L2 = 0.007154, MSE = 0.000003, using 0.375043s\n",
      "epoch 230/500 L2 = 0.007076, MSE = 0.000003, using 0.370214s\n",
      "epoch 231/500 L2 = 0.007327, MSE = 0.000004, using 0.370681s\n",
      "epoch 232/500 L2 = 0.007328, MSE = 0.000004, using 0.370185s\n",
      "epoch 233/500 L2 = 0.006919, MSE = 0.000003, using 0.372568s\n",
      "epoch 234/500 L2 = 0.006928, MSE = 0.000003, using 0.375419s\n",
      "epoch 235/500 L2 = 0.006991, MSE = 0.000003, using 0.373683s\n",
      "epoch 236/500 L2 = 0.007010, MSE = 0.000003, using 0.370012s\n",
      "epoch 237/500 L2 = 0.007087, MSE = 0.000003, using 0.374372s\n",
      "epoch 238/500 L2 = 0.007206, MSE = 0.000003, using 0.374936s\n",
      "epoch 239/500 L2 = 0.007115, MSE = 0.000003, using 0.375079s\n",
      "epoch 240/500 L2 = 0.006958, MSE = 0.000003, using 0.373364s\n",
      "epoch 241/500 L2 = 0.006688, MSE = 0.000003, using 0.376036s\n",
      "epoch 242/500 L2 = 0.006692, MSE = 0.000003, using 0.372221s\n",
      "epoch 243/500 L2 = 0.007412, MSE = 0.000005, using 0.369094s\n",
      "epoch 244/500 L2 = 0.007635, MSE = 0.000005, using 0.375213s\n",
      "epoch 245/500 L2 = 0.007758, MSE = 0.000004, using 0.372047s\n",
      "epoch 246/500 L2 = 0.007496, MSE = 0.000004, using 0.371656s\n",
      "epoch 247/500 L2 = 0.007316, MSE = 0.000003, using 0.371087s\n",
      "epoch 248/500 L2 = 0.007023, MSE = 0.000003, using 0.369978s\n",
      "epoch 249/500 L2 = 0.006928, MSE = 0.000003, using 0.372392s\n",
      "epoch 250/500 L2 = 0.006810, MSE = 0.000003, using 0.376553s\n",
      "epoch 251/500 L2 = 0.006419, MSE = 0.000003, using 0.372992s\n",
      "epoch 252/500 L2 = 0.006300, MSE = 0.000003, using 0.369640s\n",
      "epoch 253/500 L2 = 0.006300, MSE = 0.000003, using 0.373190s\n",
      "epoch 254/500 L2 = 0.006162, MSE = 0.000002, using 0.369125s\n",
      "epoch 255/500 L2 = 0.006168, MSE = 0.000002, using 0.375136s\n",
      "epoch 256/500 L2 = 0.006060, MSE = 0.000002, using 0.369656s\n",
      "epoch 257/500 L2 = 0.006194, MSE = 0.000002, using 0.371116s\n",
      "epoch 258/500 L2 = 0.006253, MSE = 0.000002, using 0.372111s\n",
      "epoch 259/500 L2 = 0.006205, MSE = 0.000002, using 0.373318s\n",
      "epoch 260/500 L2 = 0.006179, MSE = 0.000002, using 0.374604s\n",
      "epoch 261/500 L2 = 0.006146, MSE = 0.000002, using 0.374326s\n",
      "epoch 262/500 L2 = 0.006174, MSE = 0.000002, using 0.374790s\n",
      "epoch 263/500 L2 = 0.006097, MSE = 0.000002, using 0.372964s\n",
      "epoch 264/500 L2 = 0.006106, MSE = 0.000002, using 0.375198s\n",
      "epoch 265/500 L2 = 0.006058, MSE = 0.000002, using 0.366723s\n",
      "epoch 266/500 L2 = 0.006379, MSE = 0.000002, using 0.376792s\n",
      "epoch 267/500 L2 = 0.006333, MSE = 0.000002, using 0.369822s\n",
      "epoch 268/500 L2 = 0.006174, MSE = 0.000003, using 0.372424s\n",
      "epoch 269/500 L2 = 0.006441, MSE = 0.000003, using 0.372821s\n",
      "epoch 270/500 L2 = 0.006291, MSE = 0.000002, using 0.376752s\n",
      "epoch 271/500 L2 = 0.006244, MSE = 0.000002, using 0.369839s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 272/500 L2 = 0.006249, MSE = 0.000002, using 0.371928s\n",
      "epoch 273/500 L2 = 0.006495, MSE = 0.000003, using 0.374390s\n",
      "epoch 274/500 L2 = 0.006518, MSE = 0.000003, using 0.371233s\n",
      "epoch 275/500 L2 = 0.006081, MSE = 0.000002, using 0.369893s\n",
      "epoch 276/500 L2 = 0.006230, MSE = 0.000002, using 0.371631s\n",
      "epoch 277/500 L2 = 0.006566, MSE = 0.000003, using 0.373469s\n",
      "epoch 278/500 L2 = 0.006448, MSE = 0.000003, using 0.372712s\n",
      "epoch 279/500 L2 = 0.006298, MSE = 0.000003, using 0.377609s\n",
      "epoch 280/500 L2 = 0.006139, MSE = 0.000002, using 0.381397s\n",
      "epoch 281/500 L2 = 0.006285, MSE = 0.000002, using 0.375856s\n",
      "epoch 282/500 L2 = 0.006130, MSE = 0.000002, using 0.374010s\n",
      "epoch 283/500 L2 = 0.006016, MSE = 0.000002, using 0.372623s\n",
      "epoch 284/500 L2 = 0.006009, MSE = 0.000002, using 0.368914s\n",
      "epoch 285/500 L2 = 0.005944, MSE = 0.000002, using 0.371808s\n",
      "epoch 286/500 L2 = 0.006202, MSE = 0.000002, using 0.370871s\n",
      "epoch 287/500 L2 = 0.006166, MSE = 0.000002, using 0.368098s\n",
      "epoch 288/500 L2 = 0.005956, MSE = 0.000002, using 0.372819s\n",
      "epoch 289/500 L2 = 0.006205, MSE = 0.000002, using 0.370389s\n",
      "epoch 290/500 L2 = 0.006480, MSE = 0.000003, using 0.369004s\n",
      "epoch 291/500 L2 = 0.006354, MSE = 0.000002, using 0.366132s\n",
      "epoch 292/500 L2 = 0.006665, MSE = 0.000003, using 0.372145s\n",
      "epoch 293/500 L2 = 0.006260, MSE = 0.000003, using 0.370424s\n",
      "epoch 294/500 L2 = 0.006090, MSE = 0.000002, using 0.370658s\n",
      "epoch 295/500 L2 = 0.006065, MSE = 0.000002, using 0.371043s\n",
      "epoch 296/500 L2 = 0.006152, MSE = 0.000002, using 0.375729s\n",
      "epoch 297/500 L2 = 0.006132, MSE = 0.000002, using 0.374762s\n",
      "epoch 298/500 L2 = 0.006126, MSE = 0.000002, using 0.375118s\n",
      "epoch 299/500 L2 = 0.006116, MSE = 0.000002, using 0.373562s\n",
      "epoch 300/500 L2 = 0.006035, MSE = 0.000002, using 0.374704s\n",
      "epoch 301/500 L2 = 0.005857, MSE = 0.000002, using 0.373174s\n",
      "epoch 302/500 L2 = 0.005714, MSE = 0.000002, using 0.370426s\n",
      "epoch 303/500 L2 = 0.005757, MSE = 0.000002, using 0.367299s\n",
      "epoch 304/500 L2 = 0.005786, MSE = 0.000002, using 0.366659s\n",
      "epoch 305/500 L2 = 0.005754, MSE = 0.000002, using 0.369174s\n",
      "epoch 306/500 L2 = 0.005809, MSE = 0.000002, using 0.368075s\n",
      "epoch 307/500 L2 = 0.005721, MSE = 0.000002, using 0.366852s\n",
      "epoch 308/500 L2 = 0.005809, MSE = 0.000002, using 0.369120s\n",
      "epoch 309/500 L2 = 0.005775, MSE = 0.000002, using 0.372160s\n",
      "epoch 310/500 L2 = 0.005748, MSE = 0.000002, using 0.367246s\n",
      "epoch 311/500 L2 = 0.005701, MSE = 0.000002, using 0.371353s\n",
      "epoch 312/500 L2 = 0.005858, MSE = 0.000002, using 0.371168s\n",
      "epoch 313/500 L2 = 0.005823, MSE = 0.000002, using 0.371532s\n",
      "epoch 314/500 L2 = 0.005845, MSE = 0.000002, using 0.367986s\n",
      "epoch 315/500 L2 = 0.005783, MSE = 0.000002, using 0.370791s\n",
      "epoch 316/500 L2 = 0.005896, MSE = 0.000002, using 0.370801s\n",
      "epoch 317/500 L2 = 0.005872, MSE = 0.000002, using 0.371323s\n",
      "epoch 318/500 L2 = 0.005730, MSE = 0.000002, using 0.371430s\n",
      "epoch 319/500 L2 = 0.005833, MSE = 0.000002, using 0.374523s\n",
      "epoch 320/500 L2 = 0.005724, MSE = 0.000002, using 0.376626s\n",
      "epoch 321/500 L2 = 0.005649, MSE = 0.000002, using 0.372254s\n",
      "epoch 322/500 L2 = 0.005721, MSE = 0.000002, using 0.372824s\n",
      "epoch 323/500 L2 = 0.005816, MSE = 0.000002, using 0.374134s\n",
      "epoch 324/500 L2 = 0.005799, MSE = 0.000002, using 0.368462s\n",
      "epoch 325/500 L2 = 0.005717, MSE = 0.000002, using 0.370416s\n",
      "epoch 326/500 L2 = 0.005702, MSE = 0.000002, using 0.369751s\n",
      "epoch 327/500 L2 = 0.005732, MSE = 0.000002, using 0.368613s\n",
      "epoch 328/500 L2 = 0.005727, MSE = 0.000002, using 0.370592s\n",
      "epoch 329/500 L2 = 0.005707, MSE = 0.000002, using 0.367554s\n",
      "epoch 330/500 L2 = 0.005671, MSE = 0.000002, using 0.369594s\n",
      "epoch 331/500 L2 = 0.005735, MSE = 0.000002, using 0.369599s\n",
      "epoch 332/500 L2 = 0.005878, MSE = 0.000002, using 0.369148s\n",
      "epoch 333/500 L2 = 0.005706, MSE = 0.000002, using 0.367354s\n",
      "epoch 334/500 L2 = 0.005792, MSE = 0.000002, using 0.369698s\n",
      "epoch 335/500 L2 = 0.005745, MSE = 0.000002, using 0.370477s\n",
      "epoch 336/500 L2 = 0.005798, MSE = 0.000002, using 0.371740s\n",
      "epoch 337/500 L2 = 0.005815, MSE = 0.000002, using 0.376251s\n",
      "epoch 338/500 L2 = 0.005926, MSE = 0.000002, using 0.379027s\n",
      "epoch 339/500 L2 = 0.005720, MSE = 0.000002, using 0.377145s\n",
      "epoch 340/500 L2 = 0.005696, MSE = 0.000002, using 0.375095s\n",
      "epoch 341/500 L2 = 0.005640, MSE = 0.000002, using 0.368241s\n",
      "epoch 342/500 L2 = 0.005703, MSE = 0.000002, using 0.372586s\n",
      "epoch 343/500 L2 = 0.005691, MSE = 0.000002, using 0.370227s\n",
      "epoch 344/500 L2 = 0.005669, MSE = 0.000002, using 0.369974s\n",
      "epoch 345/500 L2 = 0.005564, MSE = 0.000002, using 0.370373s\n",
      "epoch 346/500 L2 = 0.005751, MSE = 0.000002, using 0.373560s\n",
      "epoch 347/500 L2 = 0.005581, MSE = 0.000002, using 0.374675s\n",
      "epoch 348/500 L2 = 0.005657, MSE = 0.000002, using 0.369069s\n",
      "epoch 349/500 L2 = 0.005624, MSE = 0.000002, using 0.370478s\n",
      "epoch 350/500 L2 = 0.005540, MSE = 0.000002, using 0.371747s\n",
      "epoch 351/500 L2 = 0.005550, MSE = 0.000002, using 0.371551s\n",
      "epoch 352/500 L2 = 0.005454, MSE = 0.000002, using 0.371175s\n",
      "epoch 353/500 L2 = 0.005491, MSE = 0.000002, using 0.371248s\n",
      "epoch 354/500 L2 = 0.005531, MSE = 0.000002, using 0.379101s\n",
      "epoch 355/500 L2 = 0.005462, MSE = 0.000002, using 0.374018s\n",
      "epoch 356/500 L2 = 0.005490, MSE = 0.000002, using 0.374965s\n",
      "epoch 357/500 L2 = 0.005465, MSE = 0.000002, using 0.374964s\n",
      "epoch 358/500 L2 = 0.005508, MSE = 0.000002, using 0.372316s\n",
      "epoch 359/500 L2 = 0.005497, MSE = 0.000002, using 0.371403s\n",
      "epoch 360/500 L2 = 0.005491, MSE = 0.000002, using 0.370401s\n",
      "epoch 361/500 L2 = 0.005462, MSE = 0.000002, using 0.367793s\n",
      "epoch 362/500 L2 = 0.005492, MSE = 0.000002, using 0.370088s\n",
      "epoch 363/500 L2 = 0.005456, MSE = 0.000002, using 0.372394s\n",
      "epoch 364/500 L2 = 0.005507, MSE = 0.000002, using 0.370365s\n",
      "epoch 365/500 L2 = 0.005474, MSE = 0.000002, using 0.368309s\n",
      "epoch 366/500 L2 = 0.005485, MSE = 0.000002, using 0.372635s\n",
      "epoch 367/500 L2 = 0.005453, MSE = 0.000002, using 0.367034s\n",
      "epoch 368/500 L2 = 0.005436, MSE = 0.000002, using 0.370277s\n",
      "epoch 369/500 L2 = 0.005440, MSE = 0.000002, using 0.368507s\n",
      "epoch 370/500 L2 = 0.005470, MSE = 0.000002, using 0.372136s\n",
      "epoch 371/500 L2 = 0.005509, MSE = 0.000002, using 0.369788s\n",
      "epoch 372/500 L2 = 0.005487, MSE = 0.000002, using 0.374887s\n",
      "epoch 373/500 L2 = 0.005482, MSE = 0.000002, using 0.375491s\n",
      "epoch 374/500 L2 = 0.005457, MSE = 0.000002, using 0.374371s\n",
      "epoch 375/500 L2 = 0.005447, MSE = 0.000002, using 0.374746s\n",
      "epoch 376/500 L2 = 0.005431, MSE = 0.000002, using 0.372211s\n",
      "epoch 377/500 L2 = 0.005435, MSE = 0.000002, using 0.370234s\n",
      "epoch 378/500 L2 = 0.005495, MSE = 0.000002, using 0.371644s\n",
      "epoch 379/500 L2 = 0.005504, MSE = 0.000002, using 0.369688s\n",
      "epoch 380/500 L2 = 0.005424, MSE = 0.000002, using 0.369244s\n",
      "epoch 381/500 L2 = 0.005463, MSE = 0.000002, using 0.372490s\n",
      "epoch 382/500 L2 = 0.005446, MSE = 0.000002, using 0.368677s\n",
      "epoch 383/500 L2 = 0.005447, MSE = 0.000002, using 0.367656s\n",
      "epoch 384/500 L2 = 0.005456, MSE = 0.000002, using 0.374590s\n",
      "epoch 385/500 L2 = 0.005518, MSE = 0.000002, using 0.368754s\n",
      "epoch 386/500 L2 = 0.005511, MSE = 0.000002, using 0.372287s\n",
      "epoch 387/500 L2 = 0.005455, MSE = 0.000002, using 0.370419s\n",
      "epoch 388/500 L2 = 0.005434, MSE = 0.000002, using 0.367988s\n",
      "epoch 389/500 L2 = 0.005429, MSE = 0.000002, using 0.368651s\n",
      "epoch 390/500 L2 = 0.005395, MSE = 0.000002, using 0.372673s\n",
      "epoch 391/500 L2 = 0.005441, MSE = 0.000002, using 0.369871s\n",
      "epoch 392/500 L2 = 0.005487, MSE = 0.000002, using 0.369385s\n",
      "epoch 393/500 L2 = 0.005520, MSE = 0.000002, using 0.370630s\n",
      "epoch 394/500 L2 = 0.005544, MSE = 0.000002, using 0.366481s\n",
      "epoch 395/500 L2 = 0.005435, MSE = 0.000002, using 0.370999s\n",
      "epoch 396/500 L2 = 0.005445, MSE = 0.000002, using 0.370104s\n",
      "epoch 397/500 L2 = 0.005464, MSE = 0.000002, using 0.373113s\n",
      "epoch 398/500 L2 = 0.005478, MSE = 0.000002, using 0.376326s\n",
      "epoch 399/500 L2 = 0.005475, MSE = 0.000002, using 0.374380s\n",
      "epoch 400/500 L2 = 0.005534, MSE = 0.000002, using 0.372330s\n",
      "epoch 401/500 L2 = 0.005410, MSE = 0.000002, using 0.370186s\n",
      "epoch 402/500 L2 = 0.005339, MSE = 0.000002, using 0.371426s\n",
      "epoch 403/500 L2 = 0.005326, MSE = 0.000002, using 0.369005s\n",
      "epoch 404/500 L2 = 0.005315, MSE = 0.000002, using 0.368759s\n",
      "epoch 405/500 L2 = 0.005346, MSE = 0.000002, using 0.370980s\n",
      "epoch 406/500 L2 = 0.005359, MSE = 0.000002, using 0.372186s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 407/500 L2 = 0.005361, MSE = 0.000002, using 0.370035s\n",
      "epoch 408/500 L2 = 0.005348, MSE = 0.000002, using 0.371357s\n",
      "epoch 409/500 L2 = 0.005334, MSE = 0.000002, using 0.372618s\n",
      "epoch 410/500 L2 = 0.005363, MSE = 0.000002, using 0.371328s\n",
      "epoch 411/500 L2 = 0.005343, MSE = 0.000002, using 0.370550s\n",
      "epoch 412/500 L2 = 0.005332, MSE = 0.000002, using 0.375048s\n",
      "epoch 413/500 L2 = 0.005363, MSE = 0.000002, using 0.371358s\n",
      "epoch 414/500 L2 = 0.005368, MSE = 0.000002, using 0.373109s\n",
      "epoch 415/500 L2 = 0.005338, MSE = 0.000002, using 0.372041s\n",
      "epoch 416/500 L2 = 0.005307, MSE = 0.000002, using 0.372413s\n",
      "epoch 417/500 L2 = 0.005316, MSE = 0.000002, using 0.371367s\n",
      "epoch 418/500 L2 = 0.005334, MSE = 0.000002, using 0.375955s\n",
      "epoch 419/500 L2 = 0.005337, MSE = 0.000002, using 0.375086s\n",
      "epoch 420/500 L2 = 0.005336, MSE = 0.000002, using 0.375348s\n",
      "epoch 421/500 L2 = 0.005315, MSE = 0.000002, using 0.374240s\n",
      "epoch 422/500 L2 = 0.005322, MSE = 0.000002, using 0.374013s\n",
      "epoch 423/500 L2 = 0.005321, MSE = 0.000002, using 0.372773s\n",
      "epoch 424/500 L2 = 0.005338, MSE = 0.000002, using 0.369719s\n",
      "epoch 425/500 L2 = 0.005342, MSE = 0.000002, using 0.373916s\n",
      "epoch 426/500 L2 = 0.005312, MSE = 0.000002, using 0.372248s\n",
      "epoch 427/500 L2 = 0.005327, MSE = 0.000002, using 0.370574s\n",
      "epoch 428/500 L2 = 0.005365, MSE = 0.000002, using 0.375058s\n",
      "epoch 429/500 L2 = 0.005348, MSE = 0.000002, using 0.370638s\n",
      "epoch 430/500 L2 = 0.005318, MSE = 0.000002, using 0.371650s\n",
      "epoch 431/500 L2 = 0.005310, MSE = 0.000002, using 0.373940s\n",
      "epoch 432/500 L2 = 0.005303, MSE = 0.000002, using 0.375307s\n",
      "epoch 433/500 L2 = 0.005296, MSE = 0.000002, using 0.374162s\n",
      "epoch 434/500 L2 = 0.005295, MSE = 0.000002, using 0.371763s\n",
      "epoch 435/500 L2 = 0.005402, MSE = 0.000002, using 0.369923s\n",
      "epoch 436/500 L2 = 0.005343, MSE = 0.000002, using 0.377187s\n",
      "epoch 437/500 L2 = 0.005306, MSE = 0.000002, using 0.374856s\n",
      "epoch 438/500 L2 = 0.005337, MSE = 0.000002, using 0.375664s\n",
      "epoch 439/500 L2 = 0.005341, MSE = 0.000002, using 0.374605s\n",
      "epoch 440/500 L2 = 0.005327, MSE = 0.000002, using 0.373355s\n",
      "epoch 441/500 L2 = 0.005299, MSE = 0.000002, using 0.372518s\n",
      "epoch 442/500 L2 = 0.005329, MSE = 0.000002, using 0.369999s\n",
      "epoch 443/500 L2 = 0.005315, MSE = 0.000002, using 0.372316s\n",
      "epoch 444/500 L2 = 0.005331, MSE = 0.000002, using 0.369373s\n",
      "epoch 445/500 L2 = 0.005300, MSE = 0.000002, using 0.373129s\n",
      "epoch 446/500 L2 = 0.005283, MSE = 0.000002, using 0.369729s\n",
      "epoch 447/500 L2 = 0.005288, MSE = 0.000002, using 0.371984s\n",
      "epoch 448/500 L2 = 0.005290, MSE = 0.000002, using 0.370722s\n",
      "epoch 449/500 L2 = 0.005299, MSE = 0.000002, using 0.370406s\n",
      "epoch 450/500 L2 = 0.005316, MSE = 0.000002, using 0.371927s\n",
      "epoch 451/500 L2 = 0.005274, MSE = 0.000002, using 0.371701s\n",
      "epoch 452/500 L2 = 0.005267, MSE = 0.000002, using 0.371328s\n",
      "epoch 453/500 L2 = 0.005270, MSE = 0.000002, using 0.372971s\n",
      "epoch 454/500 L2 = 0.005276, MSE = 0.000002, using 0.372350s\n",
      "epoch 455/500 L2 = 0.005289, MSE = 0.000002, using 0.369880s\n",
      "epoch 456/500 L2 = 0.005263, MSE = 0.000002, using 0.374609s\n",
      "epoch 457/500 L2 = 0.005268, MSE = 0.000002, using 0.376050s\n",
      "epoch 458/500 L2 = 0.005277, MSE = 0.000002, using 0.370761s\n",
      "epoch 459/500 L2 = 0.005259, MSE = 0.000002, using 0.370215s\n",
      "epoch 460/500 L2 = 0.005254, MSE = 0.000002, using 0.377267s\n",
      "epoch 461/500 L2 = 0.005259, MSE = 0.000002, using 0.374886s\n",
      "epoch 462/500 L2 = 0.005264, MSE = 0.000002, using 0.374498s\n",
      "epoch 463/500 L2 = 0.005264, MSE = 0.000002, using 0.374604s\n",
      "epoch 464/500 L2 = 0.005296, MSE = 0.000002, using 0.372245s\n",
      "epoch 465/500 L2 = 0.005254, MSE = 0.000002, using 0.367945s\n",
      "epoch 466/500 L2 = 0.005273, MSE = 0.000002, using 0.371627s\n",
      "epoch 467/500 L2 = 0.005278, MSE = 0.000002, using 0.369913s\n",
      "epoch 468/500 L2 = 0.005265, MSE = 0.000002, using 0.368366s\n",
      "epoch 469/500 L2 = 0.005249, MSE = 0.000002, using 0.369727s\n",
      "epoch 470/500 L2 = 0.005256, MSE = 0.000002, using 0.370894s\n",
      "epoch 471/500 L2 = 0.005266, MSE = 0.000002, using 0.369936s\n",
      "epoch 472/500 L2 = 0.005275, MSE = 0.000002, using 0.369780s\n",
      "epoch 473/500 L2 = 0.005283, MSE = 0.000002, using 0.373516s\n",
      "epoch 474/500 L2 = 0.005269, MSE = 0.000002, using 0.374542s\n",
      "epoch 475/500 L2 = 0.005257, MSE = 0.000002, using 0.367743s\n",
      "epoch 476/500 L2 = 0.005265, MSE = 0.000002, using 0.375428s\n",
      "epoch 477/500 L2 = 0.005274, MSE = 0.000002, using 0.375198s\n",
      "epoch 478/500 L2 = 0.005250, MSE = 0.000002, using 0.373619s\n",
      "epoch 479/500 L2 = 0.005256, MSE = 0.000002, using 0.374472s\n",
      "epoch 480/500 L2 = 0.005248, MSE = 0.000002, using 0.377283s\n",
      "epoch 481/500 L2 = 0.005255, MSE = 0.000002, using 0.375633s\n",
      "epoch 482/500 L2 = 0.005249, MSE = 0.000002, using 0.373912s\n",
      "epoch 483/500 L2 = 0.005242, MSE = 0.000002, using 0.374899s\n",
      "epoch 484/500 L2 = 0.005250, MSE = 0.000002, using 0.373686s\n",
      "epoch 485/500 L2 = 0.005253, MSE = 0.000002, using 0.373798s\n",
      "epoch 486/500 L2 = 0.005246, MSE = 0.000002, using 0.375438s\n",
      "epoch 487/500 L2 = 0.005262, MSE = 0.000002, using 0.374530s\n",
      "epoch 488/500 L2 = 0.005258, MSE = 0.000002, using 0.375051s\n",
      "epoch 489/500 L2 = 0.005254, MSE = 0.000002, using 0.374752s\n",
      "epoch 490/500 L2 = 0.005251, MSE = 0.000002, using 0.373402s\n",
      "epoch 491/500 L2 = 0.005239, MSE = 0.000002, using 0.370193s\n",
      "epoch 492/500 L2 = 0.005246, MSE = 0.000002, using 0.371056s\n",
      "epoch 493/500 L2 = 0.005244, MSE = 0.000002, using 0.376976s\n",
      "epoch 494/500 L2 = 0.005250, MSE = 0.000002, using 0.369044s\n",
      "epoch 495/500 L2 = 0.005243, MSE = 0.000002, using 0.371862s\n",
      "epoch 496/500 L2 = 0.005250, MSE = 0.000002, using 0.370216s\n",
      "epoch 497/500 L2 = 0.005257, MSE = 0.000002, using 0.371183s\n",
      "epoch 498/500 L2 = 0.005247, MSE = 0.000002, using 0.370730s\n",
      "epoch 499/500 L2 = 0.005258, MSE = 0.000002, using 0.373583s\n",
      "epoch 500/500 L2 = 0.005258, MSE = 0.000002, using 0.375376s\n",
      "Total training time: 209.51487849999998 s\n"
     ]
    }
   ],
   "source": [
    "x_train = torch.Tensor(x_train)\n",
    "y_train = torch.Tensor(y_train)\n",
    "x_test = torch.Tensor(x_test)\n",
    "y_test = torch.Tensor(y_test)\n",
    "\n",
    "x_train = torch.reshape(x_train,(x_train.shape[0],x_train.shape[1],1))\n",
    "x_test = torch.reshape(x_test,(x_test.shape[0],x_test.shape[1],1))\n",
    "\n",
    "train_loader = torch.utils.data.DataLoader(torch.utils.data.TensorDataset(x_train, y_train), batch_size=batch_size, shuffle=True)\n",
    "\n",
    "model = SPNO1d(modes, width, x_grid.shape[-1]).cuda()\n",
    "print('Total parameters:',count_params(model))\n",
    "\n",
    "optimizer = Adam(model.parameters(), lr=learning_rate, weight_decay=1e-4)\n",
    "scheduler = torch.optim.lr_scheduler.StepLR(optimizer, step_size=step_size, gamma=gamma)\n",
    "\n",
    "start = default_timer()\n",
    "\n",
    "MSE = torch.zeros(epochs)\n",
    "L2 = torch.zeros(epochs)\n",
    "\n",
    "myloss = LpLoss(size_average=False)\n",
    "for ep in range(epochs):\n",
    "    model.train()\n",
    "    t1 = default_timer()\n",
    "    train_mse = 0\n",
    "    train_l2 = 0\n",
    "    for x, y in train_loader:\n",
    "        x, y = x.cuda(), y.cuda()\n",
    "\n",
    "        optimizer.zero_grad()\n",
    "        out = model(x)\n",
    "        mse = F.mse_loss(out.view(batch_size, -1), y.view(batch_size, -1), reduction='mean')\n",
    "        l2 = myloss(out.view(batch_size, -1), y.view(batch_size, -1))\n",
    "        l2.backward()\n",
    "        \n",
    "        optimizer.step()\n",
    "        train_mse += mse.item()\n",
    "        train_l2 += l2.item()\n",
    "        \n",
    "    scheduler.step()\n",
    "    \n",
    "    train_mse /= len(train_loader)\n",
    "    train_l2 /= ntrain\n",
    "    t2 = default_timer()\n",
    "    \n",
    "    MSE[ep] = train_mse\n",
    "    L2[ep] = train_l2\n",
    "    print('\\repoch {:d}/{:d} L2 = {:.6f}, MSE = {:.6f}, using {:.6f}s'.format(ep+1,epochs,train_l2,train_mse,t2-t1), end='\\n', flush=True)\n",
    "\n",
    "print('Total training time:',default_timer()-start,'s')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "87c84f8d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test error: L2 = 0.00636356293107383 , MSE = 2.269979774784936e-06\n"
     ]
    }
   ],
   "source": [
    "pred = torch.zeros(y_test.shape)\n",
    "test_loader = torch.utils.data.DataLoader(torch.utils.data.TensorDataset(x_test, y_test), batch_size=1, shuffle=False)\n",
    "index = 0\n",
    "test_l2 = 0\n",
    "test_mse = 0\n",
    "with torch.no_grad():\n",
    "    for x, y in test_loader:\n",
    "        x, y = x.cuda(), y.cuda()\n",
    "\n",
    "        out = model(x).view(-1)\n",
    "        pred[index] = out\n",
    "        mse = F.mse_loss(out.view(1, -1), y.view(1, -1), reduction='mean')\n",
    "        test_l2 += myloss(out.view(1, -1), y.view(1, -1)).item()\n",
    "        test_mse += mse.item()\n",
    "        index += 1\n",
    "        \n",
    "    test_mse /= len(test_loader)\n",
    "    test_l2 /= ntest\n",
    "    print('test error: L2 =', test_l2,', MSE =',test_mse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "dae065a5",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x900 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "residual = pred-y_test\n",
    "fig = plt.figure(figsize=(8,6),dpi=150)\n",
    "\n",
    "plt.subplot(2,2,1)\n",
    "plt.title(\"ground truth\")\n",
    "for i in range(ntest):\n",
    "    plt.plot(x_grid,y_test[i])\n",
    "plt.xlabel(\"x\")\n",
    "plt.ylabel(\"$u_g$\")\n",
    "plt.grid()\n",
    "\n",
    "plt.subplot(2,2,2)\n",
    "plt.title(\"prediction\")\n",
    "for i in range(ntest):\n",
    "    plt.plot(x_grid,pred[i])\n",
    "plt.xlabel(\"x\")\n",
    "plt.ylabel(\"$u_p$\")\n",
    "plt.grid()\n",
    "\n",
    "plt.subplot(2,2,3)\n",
    "plt.title(\"residuals\")\n",
    "plt.ylim([-0.4,0.1])\n",
    "for i in range(ntest):\n",
    "    plt.plot(x_grid,residual[i])\n",
    "plt.xlabel(\"x\")\n",
    "plt.ylabel(\"$u_g$-$u_p$\")\n",
    "plt.grid()\n",
    "    \n",
    "plt.subplot(2,2,4)\n",
    "plt.title(\"training loss\")\n",
    "plt.plot(MSE,c='r',label='MSE')\n",
    "plt.plot(L2,c='b',label='Relative')\n",
    "plt.legend()\n",
    "plt.yscale('log')\n",
    "plt.xlabel(\"epoch\")\n",
    "plt.ylabel(\"error\")\n",
    "plt.grid()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b33a630e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor(8.2994e-05) tensor(1.9027e-06)\n"
     ]
    }
   ],
   "source": [
    "v = torch.zeros(ntest)\n",
    "m = torch.zeros(ntest)\n",
    "for i in range(ntest):\n",
    "    v[i] = torch.var(residual[i],unbiased=False)\n",
    "    m[i] = torch.mean(residual[i])\n",
    "print(torch.mean(m),torch.mean(v))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f90ee912",
   "metadata": {},
   "outputs": [],
   "source": [
    "mse = MSE.numpy().reshape(1,MSE.shape[0])\n",
    "l2 = L2.numpy().reshape(1,L2.shape[0])\n",
    "loss = np.concatenate((mse,l2))\n",
    "np.save(\"data/spno_loss_mul.npy\",loss)\n",
    "torch.save(model,\"model/spno_mul\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "16cc03a5",
   "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": 5
}