{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow import keras\n",
    "import tensorflow as tf\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_model(input_dim, output_dim, width, depth, regularization_param=1e-7,\n",
    "              act_func='tanh', output_act_func=False, random_seed=None) -> keras.Sequential:\n",
    "    initializer = keras.initializers.RandomNormal(seed=random_seed)\n",
    "    regularizer = keras.regularizers.l2(regularization_param)\n",
    "\n",
    "    if act_func == 'sin':\n",
    "        act_func = tf.math.sin\n",
    "\n",
    "    all_layers = [keras.layers.InputLayer(input_shape=[input_dim])]\n",
    "    all_layers += [keras.layers.Dense(width, activation=act_func,\n",
    "                                      kernel_initializer=initializer,\n",
    "                                      bias_initializer=initializer,\n",
    "                                      kernel_regularizer=regularizer,\n",
    "                                      bias_regularizer=regularizer) for _ in range(depth-1)]\n",
    "    all_layers.append(keras.layers.Dense(\n",
    "        output_dim, kernel_initializer=initializer,\n",
    "        activation=act_func if output_act_func else None,\n",
    "        bias_initializer=initializer,\n",
    "        kernel_regularizer=regularizer,\n",
    "        bias_regularizer=regularizer))\n",
    "    m = keras.Sequential(all_layers)\n",
    "    return m\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_input = [[np.random.uniform(0,10), np.random.uniform(0,10)] for x in np.arange(12500)]\n",
    "y_all = []\n",
    "for x, t in x_input:\n",
    "    # y_all.append(x**2+t**2*x)\n",
    "    y_all.append(x**2+t**2*x-x**3)\n",
    "x_input = tf.constant(x_input)\n",
    "y_all = tf.constant(y_all)\n",
    "x_train, y_train = x_input[:10000], y_all[:10000]\n",
    "x_test, y_test = x_input[10000:], y_all[10000:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = get_model(2,1,10,5, act_func='tanh')\n",
    "model.compile(optimizer=keras.optimizers.Adam(learning_rate=0.001), loss=\"mae\", metrics=[\"mae\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2021-11-16 00:38:45.472001: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:176] None of the MLIR Optimization Passes are enabled (registered 2)\n",
      "2021-11-16 00:38:45.475502: W tensorflow/core/platform/profile_utils/cpu_utils.cc:128] Failed to get CPU frequency: 0 Hz\n",
      "2021-11-16 00:38:45.638453: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:112] Plugin optimizer for device_type GPU is enabled.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 161.6614 - mae: 161.6614\n",
      "Epoch 2/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 154.1666 - mae: 154.1666\n",
      "Epoch 3/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 148.4727 - mae: 148.4727\n",
      "Epoch 4/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 143.6907 - mae: 143.6907\n",
      "Epoch 5/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 139.5399 - mae: 139.5399\n",
      "Epoch 6/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 135.8425 - mae: 135.8425\n",
      "Epoch 7/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 132.6466 - mae: 132.6466\n",
      "Epoch 8/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 129.7373 - mae: 129.7372\n",
      "Epoch 9/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 127.2352 - mae: 127.2351\n",
      "Epoch 10/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 125.0220 - mae: 125.0220\n",
      "Epoch 11/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 123.0579 - mae: 123.0578\n",
      "Epoch 12/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 121.3699 - mae: 121.3698\n",
      "Epoch 13/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 119.8002 - mae: 119.8001\n",
      "Epoch 14/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 117.2821 - mae: 117.2820\n",
      "Epoch 15/300\n",
      "1000/1000 [==============================] - 4s 4ms/step - loss: 100.7155 - mae: 100.7153\n",
      "Epoch 16/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 92.1723 - mae: 92.1722\n",
      "Epoch 17/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 87.6799 - mae: 87.6797\n",
      "Epoch 18/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 83.8632 - mae: 83.8630\n",
      "Epoch 19/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 80.2937 - mae: 80.2935\n",
      "Epoch 20/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 77.1997 - mae: 77.1994\n",
      "Epoch 21/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 73.7085 - mae: 73.7082\n",
      "Epoch 22/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 70.9673 - mae: 70.9670\n",
      "Epoch 23/300\n",
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      "Epoch 24/300\n",
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      "Epoch 25/300\n",
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      "Epoch 26/300\n",
      "1000/1000 [==============================] - 4s 4ms/step - loss: 60.6971 - mae: 60.6967\n",
      "Epoch 27/300\n",
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      "Epoch 28/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 56.4405 - mae: 56.4401\n",
      "Epoch 29/300\n",
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      "Epoch 30/300\n",
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      "Epoch 31/300\n",
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      "Epoch 32/300\n",
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      "Epoch 33/300\n",
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      "Epoch 34/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 47.0736 - mae: 47.0730\n",
      "Epoch 35/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 45.5769 - mae: 45.5762\n",
      "Epoch 36/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 44.3144 - mae: 44.3137\n",
      "Epoch 37/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 43.0971 - mae: 43.0964\n",
      "Epoch 38/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 41.8888 - mae: 41.8881\n",
      "Epoch 39/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 40.9637 - mae: 40.9629\n",
      "Epoch 40/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 39.9449 - mae: 39.9441\n",
      "Epoch 41/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 38.9147 - mae: 38.9139\n",
      "Epoch 42/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 38.0708 - mae: 38.0699\n",
      "Epoch 43/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 37.2535 - mae: 37.2526\n",
      "Epoch 44/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 36.3040 - mae: 36.3031\n",
      "Epoch 45/300\n",
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      "Epoch 46/300\n",
      "1000/1000 [==============================] - 4s 4ms/step - loss: 34.9673 - mae: 34.9664\n",
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      "Epoch 51/300\n",
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      "Epoch 52/300\n",
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      "Epoch 53/300\n",
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      "Epoch 54/300\n",
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      "Epoch 55/300\n",
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      "Epoch 57/300\n",
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      "Epoch 58/300\n",
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      "Epoch 59/300\n",
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      "Epoch 60/300\n",
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      "Epoch 61/300\n",
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      "Epoch 62/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 25.6387 - mae: 25.6373\n",
      "Epoch 63/300\n",
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      "Epoch 65/300\n",
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      "Epoch 67/300\n",
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      "Epoch 140/300\n",
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      "Epoch 143/300\n",
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      "Epoch 144/300\n",
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      "Epoch 145/300\n",
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      "Epoch 146/300\n",
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      "Epoch 147/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 10.2673 - mae: 10.2645\n",
      "Epoch 148/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 10.1113 - mae: 10.1086\n",
      "Epoch 149/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 10.0807 - mae: 10.0779\n",
      "Epoch 150/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 10.1333 - mae: 10.1305\n",
      "Epoch 151/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 10.1471 - mae: 10.1443\n",
      "Epoch 152/300\n",
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      "Epoch 153/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 10.0759 - mae: 10.0731\n",
      "Epoch 154/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 9.9161 - mae: 9.9133\n",
      "Epoch 155/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 9.8012 - mae: 9.7983\n",
      "Epoch 156/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 9.7961 - mae: 9.7932\n",
      "Epoch 157/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 9.6644 - mae: 9.6615\n",
      "Epoch 158/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 9.4539 - mae: 9.4510\n",
      "Epoch 159/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 9.5531 - mae: 9.5502\n",
      "Epoch 160/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 9.5989 - mae: 9.5960\n",
      "Epoch 161/300\n",
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      "Epoch 162/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 9.3134 - mae: 9.3105\n",
      "Epoch 163/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 9.0450 - mae: 9.0421\n",
      "Epoch 164/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 9.1868 - mae: 9.1838\n",
      "Epoch 165/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 8.9911 - mae: 8.9882\n",
      "Epoch 166/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 9.0760 - mae: 9.0730\n",
      "Epoch 167/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 9.0838 - mae: 9.0808\n",
      "Epoch 168/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 9.0107 - mae: 9.0077\n",
      "Epoch 169/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 8.7919 - mae: 8.7889\n",
      "Epoch 170/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 8.6092 - mae: 8.6062\n",
      "Epoch 171/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 8.6401 - mae: 8.6370\n",
      "Epoch 172/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 8.6909 - mae: 8.6878\n",
      "Epoch 173/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 8.4934 - mae: 8.4903\n",
      "Epoch 174/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 8.5411 - mae: 8.5381\n",
      "Epoch 175/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 8.6309 - mae: 8.6278\n",
      "Epoch 176/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 8.4290 - mae: 8.4259\n",
      "Epoch 177/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 8.4651 - mae: 8.4620\n",
      "Epoch 178/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 8.2241 - mae: 8.2209\n",
      "Epoch 179/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 8.2977 - mae: 8.2946\n",
      "Epoch 180/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 8.2702 - mae: 8.2670\n",
      "Epoch 181/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 8.2478 - mae: 8.2447\n",
      "Epoch 182/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 8.0986 - mae: 8.0954\n",
      "Epoch 183/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 8.2382 - mae: 8.2351\n",
      "Epoch 184/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.9863 - mae: 7.9832\n",
      "Epoch 185/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.9455 - mae: 7.9424\n",
      "Epoch 186/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.8730 - mae: 7.8698\n",
      "Epoch 187/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.8488 - mae: 7.8456\n",
      "Epoch 188/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.7915 - mae: 7.7883\n",
      "Epoch 189/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.7474 - mae: 7.7441\n",
      "Epoch 190/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.7195 - mae: 7.7162\n",
      "Epoch 191/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.5786 - mae: 7.5753\n",
      "Epoch 192/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.6578 - mae: 7.6546\n",
      "Epoch 193/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.6547 - mae: 7.6514\n",
      "Epoch 194/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.5154 - mae: 7.5121\n",
      "Epoch 195/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.3449 - mae: 7.3416\n",
      "Epoch 196/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.4224 - mae: 7.4191\n",
      "Epoch 197/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.4762 - mae: 7.4728\n",
      "Epoch 198/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.3062 - mae: 7.3029\n",
      "Epoch 199/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.2389 - mae: 7.2356\n",
      "Epoch 200/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.3659 - mae: 7.3625\n",
      "Epoch 201/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.2988 - mae: 7.2954\n",
      "Epoch 202/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.2640 - mae: 7.2607\n",
      "Epoch 203/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.0235 - mae: 7.0201\n",
      "Epoch 204/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.2391 - mae: 7.2357\n",
      "Epoch 205/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.0405 - mae: 7.0371\n",
      "Epoch 206/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.0146 - mae: 7.0112\n",
      "Epoch 207/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.0589 - mae: 7.0555\n",
      "Epoch 208/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.9740 - mae: 6.9705\n",
      "Epoch 209/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.9029 - mae: 6.8994\n",
      "Epoch 210/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.1960 - mae: 7.1926\n",
      "Epoch 211/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 7.0736 - mae: 7.0702\n",
      "Epoch 212/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.9350 - mae: 6.9315\n",
      "Epoch 213/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.6185 - mae: 6.6150\n",
      "Epoch 214/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.7903 - mae: 6.7868\n",
      "Epoch 215/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.6639 - mae: 6.6604\n",
      "Epoch 216/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.5660 - mae: 6.5625\n",
      "Epoch 217/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.6846 - mae: 6.6810\n",
      "Epoch 218/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.6086 - mae: 6.6050\n",
      "Epoch 219/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.5450 - mae: 6.5414\n",
      "Epoch 220/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.5940 - mae: 6.5905\n",
      "Epoch 221/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.4762 - mae: 6.4726\n",
      "Epoch 222/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.4854 - mae: 6.4818\n",
      "Epoch 223/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.3299 - mae: 6.3263\n",
      "Epoch 224/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.2987 - mae: 6.2951\n",
      "Epoch 225/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.3393 - mae: 6.3357\n",
      "Epoch 226/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.3598 - mae: 6.3562\n",
      "Epoch 227/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.2357 - mae: 6.2321\n",
      "Epoch 228/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.1651 - mae: 6.1614\n",
      "Epoch 229/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.2319 - mae: 6.2282\n",
      "Epoch 230/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.1043 - mae: 6.1007\n",
      "Epoch 231/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.2352 - mae: 6.2315\n",
      "Epoch 232/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.0153 - mae: 6.0116\n",
      "Epoch 233/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.2361 - mae: 6.2324\n",
      "Epoch 234/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.9042 - mae: 5.9005\n",
      "Epoch 235/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.9618 - mae: 5.9581\n",
      "Epoch 236/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.8673 - mae: 5.8636\n",
      "Epoch 237/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.0537 - mae: 6.0500\n",
      "Epoch 238/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.7841 - mae: 5.7804\n",
      "Epoch 239/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 6.0209 - mae: 6.0171\n",
      "Epoch 240/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.8151 - mae: 5.8114\n",
      "Epoch 241/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.8201 - mae: 5.8163\n",
      "Epoch 242/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.7637 - mae: 5.7600\n",
      "Epoch 243/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.7273 - mae: 5.7235\n",
      "Epoch 244/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.5312 - mae: 5.5274\n",
      "Epoch 245/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.6997 - mae: 5.6959\n",
      "Epoch 246/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.8852 - mae: 5.8814\n",
      "Epoch 247/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.6389 - mae: 5.6351\n",
      "Epoch 248/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.7319 - mae: 5.7281\n",
      "Epoch 249/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.7027 - mae: 5.6989\n",
      "Epoch 250/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.5869 - mae: 5.5831\n",
      "Epoch 251/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.4665 - mae: 5.4627\n",
      "Epoch 252/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.4823 - mae: 5.4785\n",
      "Epoch 253/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.6201 - mae: 5.6162\n",
      "Epoch 254/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.4962 - mae: 5.4923\n",
      "Epoch 255/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.6363 - mae: 5.6324\n",
      "Epoch 256/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.4916 - mae: 5.4877\n",
      "Epoch 257/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.2891 - mae: 5.2852\n",
      "Epoch 258/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.3409 - mae: 5.3370\n",
      "Epoch 259/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.4549 - mae: 5.4510\n",
      "Epoch 260/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.3787 - mae: 5.3748\n",
      "Epoch 261/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.2452 - mae: 5.2412\n",
      "Epoch 262/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.3481 - mae: 5.3442\n",
      "Epoch 263/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.2358 - mae: 5.2318\n",
      "Epoch 264/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.5051 - mae: 5.5011\n",
      "Epoch 265/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.2614 - mae: 5.2574\n",
      "Epoch 266/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.1746 - mae: 5.1706\n",
      "Epoch 267/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.0558 - mae: 5.0518\n",
      "Epoch 268/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.2179 - mae: 5.2139\n",
      "Epoch 269/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.0548 - mae: 5.0508\n",
      "Epoch 270/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.1076 - mae: 5.1035\n",
      "Epoch 271/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.0578 - mae: 5.0538\n",
      "Epoch 272/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.9005 - mae: 4.8964\n",
      "Epoch 273/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.0938 - mae: 5.0897\n",
      "Epoch 274/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.9057 - mae: 4.9017\n",
      "Epoch 275/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.9342 - mae: 4.9301\n",
      "Epoch 276/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.9132 - mae: 4.9092\n",
      "Epoch 277/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.8617 - mae: 4.8576\n",
      "Epoch 278/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.8171 - mae: 4.8130\n",
      "Epoch 279/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.8166 - mae: 4.8125\n",
      "Epoch 280/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 5.0406 - mae: 5.0365\n",
      "Epoch 281/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.9360 - mae: 4.9319\n",
      "Epoch 282/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.6787 - mae: 4.6745\n",
      "Epoch 283/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.7731 - mae: 4.7690\n",
      "Epoch 284/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.8107 - mae: 4.8066\n",
      "Epoch 285/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.7341 - mae: 4.7299\n",
      "Epoch 286/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.8167 - mae: 4.8125\n",
      "Epoch 287/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.7292 - mae: 4.7250\n",
      "Epoch 288/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.7168 - mae: 4.7127\n",
      "Epoch 289/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.6941 - mae: 4.6899\n",
      "Epoch 290/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.6752 - mae: 4.6711\n",
      "Epoch 291/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.6591 - mae: 4.6549\n",
      "Epoch 292/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.6686 - mae: 4.6644\n",
      "Epoch 293/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.5180 - mae: 4.5138\n",
      "Epoch 294/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.4566 - mae: 4.4524\n",
      "Epoch 295/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.6505 - mae: 4.6462\n",
      "Epoch 296/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.6948 - mae: 4.6906\n",
      "Epoch 297/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.5370 - mae: 4.5327\n",
      "Epoch 298/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.4360 - mae: 4.4318\n",
      "Epoch 299/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.6573 - mae: 4.6530\n",
      "Epoch 300/300\n",
      "1000/1000 [==============================] - 3s 3ms/step - loss: 4.2538 - mae: 4.2496\n"
     ]
    }
   ],
   "source": [
    "with tf.device(\"cpu:0\"):\n",
    "    model.fit(x_train, y_train, batch_size=10, epochs=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26/79 [========>.....................] - ETA: 0s - loss: 0.0027 - mae: 0.0022"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2021-11-16 01:09:36.558837: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:112] Plugin optimizer for device_type GPU is enabled.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "79/79 [==============================] - 0s 5ms/step - loss: 0.0030 - mae: 0.0025\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0.0029732007533311844, 0.0024623246863484383]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# test = tf.constant(x_input[765], shape=(1,2))\n",
    "model.evaluate(x_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tf.Tensor([[184.33286]], shape=(1, 1), dtype=float32)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<tf.Tensor: shape=(), dtype=float32, numpy=182.07262>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(model(tf.constant(x_input[2765], shape=(1,2))))\n",
    "y_all[2765]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<mpl_toolkits.mplot3d.art3d.Poly3DCollection at 0x16a5bda00>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def fun(x, t):\n",
    "    # return x**2+t**2*x\n",
    "    return model(tf.constant([x, t], shape=(1,2)))\n",
    "\n",
    "def fun2(x, t):\n",
    "    # return x**2+t**2*x\n",
    "    return x**2+t**2*x-x**3\n",
    "x = y = np.arange(0, 10.0, 0.1)\n",
    "zs = np.array([fun(x1, y1) for x1 in x for y1 in y])\n",
    "zs2 = np.array([fun2(x1, y1) for x1 in x for y1 in y])\n",
    "X, Y = np.meshgrid(x, y)\n",
    "Z = zs.reshape(X.shape)\n",
    "Z2 = zs2.reshape(X.shape)\n",
    "fig = plt.figure(figsize=(20,20))\n",
    "ax = fig.add_subplot(121, projection='3d')\n",
    "ax2 = fig.add_subplot(122, projection='3d')\n",
    "ax.set_xlabel('x')\n",
    "ax2.set_xlabel('x')\n",
    "ax.plot_surface(X,Y,Z)\n",
    "ax2.plot_surface(X,Y,Z2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2021-11-16 01:10:13.965399: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: surface_fitting_m1/assets\n"
     ]
    }
   ],
   "source": [
    "model.save(\"surface_fitting_m1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = tf.keras.models.load_model('surface_fitting_m1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-19.703503 -12.173029 -18.546011] [7.551018  4.946863  7.5962925]\n"
     ]
    }
   ],
   "source": [
    "test_x1 = tf.Variable([[3.7],[2.5],[3.3]], shape=(3,1))\n",
    "test_x2 = tf.Variable([[1.5], [4.6],[6.6]], shape=(3,1))\n",
    "# test_x1 = tf.Variable([[3.35]], shape=(1,1), dtype='float32')\n",
    "# test_x2 = tf.Variable([[8.33]], shape=(1,1), dtype='float32')\n",
    "z = tf.Variable(tf.concat((test_x1, test_x2),axis=1))\n",
    "# print(z)\n",
    "# z = tf.Variable([[1.3, 6.6], [4.4, 5.6], [3.2, 5.6]],\n",
    "#                 dtype='float32', shape=(3, 2))\n",
    "#\n",
    "# print(z)\n",
    "\n",
    "@tf.function\n",
    "def u_out(x, t):\n",
    "    u = model(tf.concat((x, t),axis=1))\n",
    "    return u\n",
    "\n",
    "with tf.GradientTape() as tape:\n",
    "    with tf.GradientTape(persistent=1) as tape_0:\n",
    "        # tape_0.watch(z)\n",
    "        with tf.GradientTape(persistent=1) as tape_2:\n",
    "            # tape_2.watch(z)\n",
    "            # u = u_out(test_x1, test_x2)\n",
    "            u = model(z)\n",
    "            # print(u)\n",
    "            # u = 3*z[:,0]*z[:,0] + 2*z[:,0]*z[:,1] + z[:,1]*z[:,1]\n",
    "        # dudx1, dudx2 = tape_2.gradient(u, [test_x1, test_x2])\n",
    "        dudi = tape_2.gradient(u,z)\n",
    "        # dudx2 = tape_2.gradient(u, test_x2)[0]\n",
    "        # print(dudx1)\n",
    "    # d2udx1 = tape_0.gradient(dudx1, test_x1)\n",
    "    # print(d2udx1)\n",
    "        # dudi_t = tape_2.gradient(ut, test_x)\n",
    "    # d2u_d2i = tape_0.gradient(dudi, z)\n",
    "    d2u_d2i = tape_0.jacobian(dudi, z)\n",
    "    d2 = tf.einsum('bxby->bxy', d2u_d2i)\n",
    "    d2dig = tf.Variable([tf.linalg.diag_part(i) for i in d2])\n",
    "    # print(d2dig)\n",
    "    d2u_d2x, d2u_d2t = tf.unstack(d2dig,axis=1)\n",
    "    print(d2u_d2x.numpy(), d2u_d2t.numpy())\n",
    "        # print(np.shape(tf.linalg.diag_part(i)))\n",
    "    # d2u_d2i = np.diagonal(d2u_d2i,axis1=1,axis2=3)\n",
    "    # print(d2dig)\n",
    "del tape_0, tape_2\n",
    "# print(\n",
    "#     f\"{dudi.numpy()} should be dudx {2*z[0][0]+z[0][1]**2-3*z[0][0]**2}, dudt {2*z[0][0]*z[0][1]}\")\n",
    "# print(f\"{d2u_d2i} should be d2udx2 {2-6*z[0][0]} d2udt2 {2*z[0][0]}\")\n",
    "# print(dddd.numpy())\n",
    "# print(f\"{d2u_d2i.numpy()} should be d2udx2+dudtdx {2-6*z[0][0]+2*z[0][1]} dudxdt+d2udt2 {2*z[0][0]+2*z[0][1]}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tf.Tensor(\n",
      "[[-19.703503]\n",
      " [-12.173031]\n",
      " [-18.546011]], shape=(3, 1), dtype=float32)\n"
     ]
    }
   ],
   "source": [
    "test_x1 = tf.Variable([[3.7],[2.5],[3.3]], shape=(3,1))\n",
    "test_x2 = tf.Variable([[1.5], [4.6],[6.6]], shape=(3,1))\n",
    "# test_x1 = tf.Variable([[3.35]], shape=(1,1), dtype='float32')\n",
    "# test_x2 = tf.Variable([[8.33]], shape=(1,1), dtype='float32')\n",
    "# z = tf.Variable(tf.concat((test_x1, test_x2),axis=1))\n",
    "# print(z)\n",
    "# z = tf.Variable([[1.3, 6.6], [4.4, 5.6], [3.2, 5.6]],\n",
    "#                 dtype='float32', shape=(3, 2))\n",
    "#\n",
    "# print(z)\n",
    "\n",
    "@tf.function\n",
    "def u_out(x, t):\n",
    "    u = model(tf.concat((x, t),axis=1))\n",
    "    return u\n",
    "\n",
    "with tf.GradientTape() as tape:\n",
    "    with tf.GradientTape(persistent=1) as tape_0:\n",
    "        tape_0.watch(test_x2)\n",
    "        with tf.GradientTape(persistent=1) as tape_2:\n",
    "            u = u_out(test_x1, test_x2)\n",
    "        dudx1, dudx2 = tape_2.gradient(u, [test_x1, test_x2])\n",
    "        # print(dudx1, dudx2)\n",
    "    # d2udx1 = tape_0.gradient(dudx1, test_x1)\n",
    "    d2udx2 = tape_0.gradient(dudx2, test_x2)\n",
    "    print(d2udx1)\n",
    "del tape_0, tape_2\n",
    "# print(\n",
    "#     f\"{dudi.numpy()} should be dudx {2*z[0][0]+z[0][1]**2-3*z[0][0]**2}, dudt {2*z[0][0]*z[0][1]}\")\n",
    "# print(f\"{d2u_d2i} should be d2udx2 {2-6*z[0][0]} d2udt2 {2*z[0][0]}\")\n",
    "# print(dddd.numpy())\n",
    "# print(f\"{d2u_d2i.numpy()} should be d2udx2+dudtdx {2-6*z[0][0]+2*z[0][1]} dudxdt+d2udt2 {2*z[0][0]+2*z[0][1]}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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