smartFall_tft.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:50:27.760440Z",
     "start_time": "2021-07-07T06:50:26.943610Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "from datetime import datetime\n",
    "\n",
    "repo_dir = os.getcwd() + '/repo'\n",
    "tft_dir = os.path.join(repo_dir, 'tft')\n",
    "os.chdir(tft_dir)\n",
    "\n",
    "\n",
    "import warnings  \n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:50:29.209078Z",
     "start_time": "2021-07-07T06:50:27.762809Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DLR_Subjects_Age_Height_Gender.xls  libs\r\n",
      "DLR_dataset\t\t\t    outputs_dlr\r\n",
      "DLR_dataset.zip\t\t\t    outputs_mobiact\r\n",
      "MobiAct_Dataset_v2.0\t\t    outputs_mobiact(v2)\r\n",
      "MobiAct_Dataset_v2.0.rar\t    outputs_mobiact_wo_age\r\n",
      "NotchDataset\t\t\t    outputs_mobiact_wo_height\r\n",
      "Notch_Dataset.zip\t\t    outputs_mobiact_wo_weight\r\n",
      "SmartFall_Dataset\t\t    outputs_notchFall\r\n",
      "SmartFall_Dataset.zip\t\t    outputs_notchFall_wo_known\r\n",
      "data_formatters\t\t\t    outputs_smartFall\r\n",
      "dlr_preprocessed\t\t    outputs_smartFall_3multihead\r\n",
      "expt_settings\t\t\t    outputs_smartFall_wo_known\r\n"
     ]
    }
   ],
   "source": [
    "!ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:50:29.222539Z",
     "start_time": "2021-07-07T06:50:29.214603Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "output_folder = os.path.join(os.getcwd(), 'outputs_smartFall_wo_known')   # Root folder to save experiment outputs\n",
    "force_download = False \n",
    "if not os.path.exists(output_folder):\n",
    "    os.makedirs(output_folder)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:50:29.537975Z",
     "start_time": "2021-07-07T06:50:29.226555Z"
    }
   },
   "outputs": [],
   "source": [
    "train = pd.read_csv('SmartFall_Dataset/SmartFall Training.csv')\n",
    "train['per-id'] = 0\n",
    "train['known'] = 0\n",
    "train['time'] = list(range(len(train)))\n",
    "train['circum'] = 0\n",
    "train.outcome = train.outcome.astype(float)\n",
    "\n",
    "test = pd.read_csv('SmartFall_Dataset/SmartFall Testing.csv')\n",
    "test['per-id'] = 0\n",
    "test['known'] = 0\n",
    "test['time'] = list(range(len(test)))\n",
    "test['circum'] = 0\n",
    "test.outcome = test.outcome.astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-23T09:31:46.139571Z",
     "start_time": "2021-06-23T09:31:46.081564Z"
    },
    "scrolled": true
   },
   "outputs": [
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>436</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>0.280518</td>\n",
       "      <td>1.081055</td>\n",
       "      <td>0.626953</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>437</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>-0.135254</td>\n",
       "      <td>1.034180</td>\n",
       "      <td>0.669434</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>438</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>-0.135254</td>\n",
       "      <td>1.034180</td>\n",
       "      <td>0.669434</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>439</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>-0.502441</td>\n",
       "      <td>0.712646</td>\n",
       "      <td>0.755859</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>440</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>-0.502441</td>\n",
       "      <td>0.712646</td>\n",
       "      <td>0.755859</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>441</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>-0.825195</td>\n",
       "      <td>0.604248</td>\n",
       "      <td>0.782227</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>442</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>0.154053</td>\n",
       "      <td>0.217773</td>\n",
       "      <td>0.565186</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>443</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>0.801270</td>\n",
       "      <td>0.440186</td>\n",
       "      <td>0.407715</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>444</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445</th>\n",
       "      <td>0.801270</td>\n",
       "      <td>0.440186</td>\n",
       "      <td>0.407715</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>445</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>1.270752</td>\n",
       "      <td>0.606201</td>\n",
       "      <td>0.617432</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>446</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>0.022461</td>\n",
       "      <td>0.229492</td>\n",
       "      <td>1.292725</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>447</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>-0.008545</td>\n",
       "      <td>0.708496</td>\n",
       "      <td>0.657227</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>448</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>-0.191895</td>\n",
       "      <td>1.043945</td>\n",
       "      <td>0.556885</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>449</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ms_accelerometer_x   ms_accelerometer_y   ms_accelerometer_z  outcome  \\\n",
       "397             0.725342            -0.205566             0.171631      0.0   \n",
       "398             0.725342            -0.205566             0.171631      1.0   \n",
       "399             0.726562            -0.042725            -0.007812      1.0   \n",
       "400             0.707031            -0.257324            -0.085693      1.0   \n",
       "401             0.655273            -0.413818            -0.272217      1.0   \n",
       "402             0.414551            -0.207031            -0.531006      1.0   \n",
       "403             0.180420            -0.692871            -0.453369      1.0   \n",
       "404             0.095215            -0.591553            -0.489990      1.0   \n",
       "405            -0.164062            -0.496338            -0.117920      1.0   \n",
       "406            -0.112061             0.338623            -0.210449      1.0   \n",
       "407             0.650146             0.370605             0.082764      1.0   \n",
       "408             1.579346             1.536377             1.708984      1.0   \n",
       "409             1.579346             1.536377             1.708984      1.0   \n",
       "410             1.579346             1.536377             1.708984      1.0   \n",
       "411             2.306396             0.607422             2.237793      1.0   \n",
       "412             1.130127             1.546631             0.623779      1.0   \n",
       "413             1.053223             0.996338             1.087646      1.0   \n",
       "414             1.053223             0.996338             1.087646      1.0   \n",
       "415             0.094482             0.891846             0.857666      1.0   \n",
       "416             0.276611             0.916260             0.502197      1.0   \n",
       "417             0.042725             0.513672             0.292969      1.0   \n",
       "418            -0.022705             0.556396             0.218262      1.0   \n",
       "419            -0.257812             0.752686             0.249023      1.0   \n",
       "420            -0.395996             0.674805             0.337891      1.0   \n",
       "421            -0.165283             0.680420             0.268311      1.0   \n",
       "422            -0.331543             0.460449             0.189697      1.0   \n",
       "423            -0.242920             0.594238             0.203857      0.0   \n",
       "424             0.080811             0.620850             0.093750      0.0   \n",
       "425            -0.213623             0.588135            -0.121582      0.0   \n",
       "426            -0.192383             0.834473            -0.098877      0.0   \n",
       "427             0.008789             1.855225             0.058350      0.0   \n",
       "428             0.292969             1.585938             0.750732      0.0   \n",
       "429            -0.229248             0.676514             0.624512      0.0   \n",
       "430             0.264648             0.281250             0.674805      0.0   \n",
       "431             0.264648             0.281250             0.674805      0.0   \n",
       "432             0.142334             0.560059             0.530273      0.0   \n",
       "433             0.142334             0.560059             0.530273      0.0   \n",
       "434             0.259033             0.908203             0.605469      0.0   \n",
       "435             0.259033             0.908203             0.605469      0.0   \n",
       "436             0.280518             1.081055             0.626953      0.0   \n",
       "437             0.280518             1.081055             0.626953      0.0   \n",
       "438            -0.135254             1.034180             0.669434      0.0   \n",
       "439            -0.135254             1.034180             0.669434      0.0   \n",
       "440            -0.502441             0.712646             0.755859      0.0   \n",
       "441            -0.502441             0.712646             0.755859      0.0   \n",
       "442            -0.825195             0.604248             0.782227      0.0   \n",
       "443             0.154053             0.217773             0.565186      0.0   \n",
       "444             0.801270             0.440186             0.407715      0.0   \n",
       "445             0.801270             0.440186             0.407715      0.0   \n",
       "446             1.270752             0.606201             0.617432      0.0   \n",
       "447             0.022461             0.229492             1.292725      0.0   \n",
       "448            -0.008545             0.708496             0.657227      0.0   \n",
       "449            -0.191895             1.043945             0.556885      0.0   \n",
       "\n",
       "     per-id  known  time  circum  \n",
       "397       0      0   397       0  \n",
       "398       0      0   398       0  \n",
       "399       0      0   399       0  \n",
       "400       0      0   400       0  \n",
       "401       0      0   401       0  \n",
       "402       0      0   402       0  \n",
       "403       0      0   403       0  \n",
       "404       0      0   404       0  \n",
       "405       0      0   405       0  \n",
       "406       0      0   406       0  \n",
       "407       0      0   407       0  \n",
       "408       0      0   408       0  \n",
       "409       0      0   409       0  \n",
       "410       0      0   410       0  \n",
       "411       0      0   411       0  \n",
       "412       0      0   412       0  \n",
       "413       0      0   413       0  \n",
       "414       0      0   414       0  \n",
       "415       0      0   415       0  \n",
       "416       0      0   416       0  \n",
       "417       0      0   417       0  \n",
       "418       0      0   418       0  \n",
       "419       0      0   419       0  \n",
       "420       0      0   420       0  \n",
       "421       0      0   421       0  \n",
       "422       0      0   422       0  \n",
       "423       0      0   423       0  \n",
       "424       0      0   424       0  \n",
       "425       0      0   425       0  \n",
       "426       0      0   426       0  \n",
       "427       0      0   427       0  \n",
       "428       0      0   428       0  \n",
       "429       0      0   429       0  \n",
       "430       0      0   430       0  \n",
       "431       0      0   431       0  \n",
       "432       0      0   432       0  \n",
       "433       0      0   433       0  \n",
       "434       0      0   434       0  \n",
       "435       0      0   435       0  \n",
       "436       0      0   436       0  \n",
       "437       0      0   437       0  \n",
       "438       0      0   438       0  \n",
       "439       0      0   439       0  \n",
       "440       0      0   440       0  \n",
       "441       0      0   441       0  \n",
       "442       0      0   442       0  \n",
       "443       0      0   443       0  \n",
       "444       0      0   444       0  \n",
       "445       0      0   445       0  \n",
       "446       0      0   446       0  \n",
       "447       0      0   447       0  \n",
       "448       0      0   448       0  \n",
       "449       0      0   449       0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[397:450]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-22T14:32:33.070303Z",
     "start_time": "2021-06-22T14:32:33.064833Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([' ms_accelerometer_x', ' ms_accelerometer_y', ' ms_accelerometer_z',\n",
       "       'outcome', 'per-id', 'known', 'time', 'circum'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:50:31.892556Z",
     "start_time": "2021-07-07T06:50:31.849884Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Available data types:\n",
      "DataTypes.REAL_VALUED\n",
      "DataTypes.CATEGORICAL\n",
      "DataTypes.DATE\n",
      "\n",
      "Avaialbe input types:\n",
      "InputTypes.TARGET\n",
      "InputTypes.OBSERVED_INPUT\n",
      "InputTypes.KNOWN_INPUT\n",
      "InputTypes.STATIC_INPUT\n",
      "InputTypes.ID\n",
      "InputTypes.TIME\n"
     ]
    }
   ],
   "source": [
    "from data_formatters.base import GenericDataFormatter, DataTypes, InputTypes\n",
    "\n",
    "# View avialable inputs and data types.\n",
    "print(\"Available data types:\")\n",
    "for option in DataTypes:\n",
    "    print(option)\n",
    "\n",
    "print()\n",
    "print(\"Avaialbe input types:\")\n",
    "for option in InputTypes:\n",
    "    print(option)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:50:36.355422Z",
     "start_time": "2021-07-07T06:50:32.626723Z"
    }
   },
   "outputs": [],
   "source": [
    "from libs import utils \n",
    "import sklearn.preprocessing\n",
    "from sklearn.model_selection import train_test_split\n",
    "class smartFallFormatter(GenericDataFormatter):\n",
    "    _column_definition = [\n",
    "        ('per-id', DataTypes.CATEGORICAL, InputTypes.ID),\n",
    "        ('circum', DataTypes.CATEGORICAL, InputTypes.STATIC_INPUT),\n",
    "        ('time', DataTypes.REAL_VALUED, InputTypes.TIME),\n",
    "        ('known', DataTypes.CATEGORICAL, InputTypes.KNOWN_INPUT),\n",
    "        (' ms_accelerometer_y', DataTypes.REAL_VALUED, InputTypes.OBSERVED_INPUT),\n",
    "        (' ms_accelerometer_z', DataTypes.REAL_VALUED, InputTypes.OBSERVED_INPUT),\n",
    "        (' ms_accelerometer_x', DataTypes.REAL_VALUED, InputTypes.OBSERVED_INPUT),\n",
    "        ('outcome', DataTypes.REAL_VALUED, InputTypes.TARGET)\n",
    "    ]\n",
    "    \n",
    "    def __init__(self):\n",
    "        \"\"\"initializes formatter\"\"\"\n",
    "        \n",
    "        self.identifiers = None\n",
    "        self._real_scalers = None\n",
    "        self._cat_scalers = None\n",
    "        self._target_scaler = None\n",
    "        self._num_classes_per_cat_input = None\n",
    "    \n",
    "    def split_data(self, train, test):\n",
    "        \"\"\"\n",
    "        split data frame into training-validation-test data frames\n",
    "        \n",
    "        \"\"\"\n",
    "        print('Formatting train-valid-test splits.')\n",
    "        \n",
    "        train_data, val_data = train_test_split(train, test_size=0.25, shuffle=False, random_state=0)\n",
    "\n",
    "        test_data = test\n",
    "        \n",
    "        self.set_scalers(train_data)\n",
    "        \n",
    "        return (self.transform_inputs(data) for data in [train_data, val_data, test_data])\n",
    "    \n",
    "    def set_scalers(self, df):\n",
    "        \"\"\"\n",
    "        Calibrates scalers using the data supplied.\n",
    "        (제공된 데이터를 사용해서 scaler 교정)\n",
    "\n",
    "        Args:\n",
    "          df: Data to use to calibrate scalers.\n",
    "        \"\"\"\n",
    "        print('Setting scalers with training data...')\n",
    "        \n",
    "        column_definitions = self.get_column_definition()\n",
    "\n",
    "        id_column = utils.get_single_col_by_input_type(InputTypes.ID,\n",
    "                                                       column_definitions)\n",
    "        target_column = utils.get_single_col_by_input_type(InputTypes.TARGET,\n",
    "                                                           column_definitions)\n",
    "        # extract identifiers in case required\n",
    "#         stock에는 identifier가 현재 따로 필요해보이지 않음(데이터 entity가 한개이기 때문)\n",
    "        self.identifiers = list(df[id_column].unique())\n",
    "        \n",
    "        # Format real scalers\n",
    "        real_inputs = utils.extract_cols_from_data_type(\n",
    "            DataTypes.REAL_VALUED, column_definitions,\n",
    "            {InputTypes.ID, InputTypes.TIME})\n",
    "        \n",
    "        data = df[real_inputs].values\n",
    "        self._real_scalers = sklearn.preprocessing.StandardScaler().fit(data)\n",
    "        \n",
    "        # target데이터를 prediction에 사용\n",
    "        self._target_scaler = sklearn.preprocessing.StandardScaler().fit(df[[target_column]].values)\n",
    "        \n",
    "        categorical_inputs = utils.extract_cols_from_data_type(\n",
    "            DataTypes.CATEGORICAL, column_definitions,\n",
    "            {InputTypes.ID, InputTypes.TIME})\n",
    "        \n",
    "        categorical_scalers = {}\n",
    "        num_classes = []\n",
    "        for col in categorical_inputs:\n",
    "            srs = df[col].apply(str)\n",
    "            categorical_scalers[col] = sklearn.preprocessing.LabelEncoder().fit(srs.values)\n",
    "            num_classes.append(srs.nunique())\n",
    "        \n",
    "        # set categorical scaler outputs\n",
    "        self._cat_scalers = categorical_scalers\n",
    "        self._num_classes_per_cat_input = num_classes\n",
    "        \n",
    "    def transform_inputs(self, df):\n",
    "        \"\"\"\n",
    "        performs feature transformations.\n",
    "        \n",
    "        feature engineering, preprocessing and normalization을 포함\n",
    "        \n",
    "        Args:\n",
    "            df - data frame to transform.\n",
    "            \n",
    "        Returns:\n",
    "            Transformed data frame.\n",
    "        \"\"\"\n",
    "        output = df.copy()\n",
    "        \n",
    "        if self._real_scalers is None and self._cat_scalers is None:\n",
    "            raise ValueError('Scalers have not been set!')\n",
    "        \n",
    "        column_definitions = self.get_column_definition()\n",
    "        real_inputs = utils.extract_cols_from_data_type(\n",
    "            DataTypes.REAL_VALUED, column_definitions,\n",
    "            {InputTypes.ID, InputTypes.TIME}\n",
    "        )\n",
    "#         categorical_inputs = utils.extract_cols_from_data_type(\n",
    "#             DataTypes.CATEGORICAL, column_definitions,\n",
    "#             {InputTypes.ID, InputTypes.TIME})\n",
    "        output[real_inputs] = self._real_scalers.transform(df[real_inputs].values)\n",
    "#         for col in categorical_inputs:\n",
    "#             string_df = df[col].apply(str)\n",
    "#             output[col] = self._cat_scalers[col].transform(string_df)\n",
    "        return output\n",
    "    \n",
    "    def format_predictions(self, predictions):\n",
    "        output = predictions.copy()\n",
    "        \n",
    "        column_names = predictions.columns\n",
    "        for col in column_names:\n",
    "            if col not in {'forecast_time', 'identifier'}:\n",
    "                output[col] = self._target_scaler.inverse_transform(predictions[col])\n",
    "                \n",
    "        return output\n",
    "    \n",
    "    def get_fixed_params(self):\n",
    "        fixed_params = {\n",
    "            'total_time_steps': 64,     # Total width of the Temporal Fusion Decoder\n",
    "            'num_encoder_steps': 32,    # Length of LSTM decoder (ie. # historical inputs)\n",
    "            'num_epochs': 100,            # Max number of epochs for training\n",
    "            'early_stopping_patience': 5, # Early stopping threshold for # iterations with no loss improvement\n",
    "            'multiprocessing_workers': 5  # Number of multi-processing workers\n",
    "        }\n",
    "        \n",
    "        return fixed_params\n",
    "    \n",
    "    def get_default_model_params(self):\n",
    "        model_params = {\n",
    "            'dropout_rate': 0.3,\n",
    "            'hidden_layer_size': 160,\n",
    "            'learning_rate': 0.01,\n",
    "            'minibatch_size': 32,\n",
    "            'max_gradient_norm': 0.01,\n",
    "            'num_heads': 4,\n",
    "            'stack_size': 1\n",
    "        }\n",
    "\n",
    "        return model_params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:50:36.555908Z",
     "start_time": "2021-07-07T06:50:36.359859Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Formatting train-valid-test splits.\n",
      "Setting scalers with training data...\n"
     ]
    }
   ],
   "source": [
    "data_formatter = smartFallFormatter()\n",
    "train, valid, test = data_formatter.split_data(train, test)\n",
    "train_samples, valid_samples = data_formatter.get_num_samples_for_calibration(\n",
    "  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:50:37.928005Z",
     "start_time": "2021-07-07T06:50:36.558796Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import libs.hyperparam_opt\n",
    "import libs.tft_model\n",
    "import libs.utils as util\n",
    "\n",
    "ModelClass = libs.tft_model.TemporalFusionTransformer\n",
    "data_params = data_formatter.get_experiment_params()\n",
    "param_ranges = ModelClass.get_hyperparm_choices()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:50:37.939306Z",
     "start_time": "2021-07-07T06:50:37.932703Z"
    }
   },
   "outputs": [],
   "source": [
    "model_params = {'dropout_rate': 0.3,      # Dropout discard rate\n",
    "                'hidden_layer_size': 320, # Internal state size of TFT\n",
    "                'learning_rate': 0.001,   # ADAM initial learning rate\n",
    "                'minibatch_size': 256,    # Minibatch size for training\n",
    "                'max_gradient_norm': 100.,# Max norm for gradient clipping\n",
    "                'num_heads': 4,           # Number of heads for multi-head attention\n",
    "                'stack_size': 1           # Number of stacks (default 1 for interpretability)\n",
    "               }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:50:37.949977Z",
     "start_time": "2021-07-07T06:50:37.943637Z"
    }
   },
   "outputs": [],
   "source": [
    "model_folder = os.path.join(output_folder, 'saved_models', 'smartFall_wo_known_16', 'fixed')\n",
    "model_params['model_folder'] = model_folder\n",
    "\n",
    "model_params.update(data_params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:50:37.967952Z",
     "start_time": "2021-07-07T06:50:37.953344Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*** Loading hyperparm manager ***\n"
     ]
    }
   ],
   "source": [
    "HyperparamOptManager = libs.hyperparam_opt.HyperparamOptManager\n",
    "print(\"*** Loading hyperparm manager ***\")\n",
    "opt_manager = HyperparamOptManager(param_ranges, data_params, model_folder)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:50:38.008512Z",
     "start_time": "2021-07-07T06:50:37.971268Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading results from /mnt/srv/home/dlpc.890/TFT/repo/tft/outputs_smartFall_wo_known/saved_models/smartFall_wo_known_16/fixed\n",
      "Loaded results from previous training\n"
     ]
    }
   ],
   "source": [
    "success = opt_manager.load_results()\n",
    "restart_opt = None\n",
    "if success and not restart_opt:\n",
    "    print(\"Loaded results from previous training\")\n",
    "else:\n",
    "    print(\"Creating new hyperparameter optimisation\")\n",
    "    opt_manager.clear()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:50:40.532224Z",
     "start_time": "2021-07-07T06:50:40.524708Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Selecting GPU ID=1, 2, 3\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "from libs.tft_model import TemporalFusionTransformer\n",
    "\n",
    "# Specify GPU usage\n",
    "tf_config = utils.get_default_tensorflow_config(tf_device=\"gpu\", gpu_id='1, 2, 3')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-22T14:50:53.290592Z",
     "start_time": "2021-06-22T14:33:48.270604Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Device mapping:\n",
      "/job:localhost/replica:0/task:0/device:GPU:0 -> device: 0, name: TITAN Xp, pci bus id: 0000:1e:00.0, compute capability: 6.1\n",
      "/job:localhost/replica:0/task:0/device:GPU:1 -> device: 1, name: TITAN Xp, pci bus id: 0000:1f:00.0, compute capability: 6.1\n",
      "/job:localhost/replica:0/task:0/device:GPU:2 -> device: 2, name: TITAN Xp, pci bus id: 0000:8b:00.0, compute capability: 6.1\n",
      "\n",
      "Resetting temp folder...\n",
      "*** TemporalFusionTransformer params ***\n",
      "# dropout_rate = 0.3\n",
      "# hidden_layer_size = 320\n",
      "# learning_rate = 0.001\n",
      "# minibatch_size = 256\n",
      "# max_gradient_norm = 100.0\n",
      "# num_heads = 4\n",
      "# stack_size = 1\n",
      "# model_folder = /mnt/srv/home/dlpc.890/TFT/repo/tft/outputs_smartFall_wo_known/saved_models/smartFall_wo_known_16/fixed\n",
      "# total_time_steps = 64\n",
      "# num_encoder_steps = 32\n",
      "# num_epochs = 100\n",
      "# early_stopping_patience = 5\n",
      "# multiprocessing_workers = 5\n",
      "# column_definition = [('per-id', <DataTypes.CATEGORICAL: 1>, <InputTypes.ID: 4>), ('time', <DataTypes.REAL_VALUED: 0>, <InputTypes.TIME: 5>), (' ms_accelerometer_y', <DataTypes.REAL_VALUED: 0>, <InputTypes.OBSERVED_INPUT: 1>), (' ms_accelerometer_z', <DataTypes.REAL_VALUED: 0>, <InputTypes.OBSERVED_INPUT: 1>), (' ms_accelerometer_x', <DataTypes.REAL_VALUED: 0>, <InputTypes.OBSERVED_INPUT: 1>), ('outcome', <DataTypes.REAL_VALUED: 0>, <InputTypes.TARGET: 0>), ('circum', <DataTypes.CATEGORICAL: 1>, <InputTypes.STATIC_INPUT: 3>), ('known', <DataTypes.CATEGORICAL: 1>, <InputTypes.KNOWN_INPUT: 2>)]\n",
      "# input_size = 6\n",
      "# output_size = 1\n",
      "# category_counts = [1, 1]\n",
      "# input_obs_loc = [3]\n",
      "# static_input_loc = [4]\n",
      "# known_regular_inputs = []\n",
      "# known_categorical_inputs = [0, 1]\n",
      "Tensor(\"TemporalFusionTransformer/stack:0\", shape=(None, 1, 320), dtype=float32)\n",
      "WARNING:tensorflow:Layer lstm will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU\n",
      "WARNING:tensorflow:Layer lstm_1 will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU\n",
      "Model: \"model\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            [(None, 64, 6)]      0                                            \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 2)]      0           input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64)]         0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "sequential (Sequential)         (None, 64, 320)      320         tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 320)]        0           sequential[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 1, 320)]     0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "flatten (Flatten)               (None, 320)          0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_5 (Dense)                 (None, 320)          102720      flatten[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 1, 320)]     0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "activation (Activation)         (None, 320)          0           dense_5[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense_9 (Dense)                 (None, 1, 320)       102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_6 (Dense)                 (None, 320)          102720      activation[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "activation_2 (Activation)       (None, 1, 320)       0           dense_9[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dropout (Dropout)               (None, 320)          0           dense_6[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense_10 (Dense)                (None, 1, 320)       102720      activation_2[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "dense_7 (Dense)                 (None, 1)            321         dropout[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense_8 (Dense)                 (None, 1)            321         dropout[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dropout_1 (Dropout)             (None, 1, 320)       0           dense_10[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "dense_4 (Dense)                 (None, 1)            321         flatten[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "multiply (Multiply)             (None, 1)            0           dense_7[0][0]                    \n",
      "                                                                 dense_8[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense_11 (Dense)                (None, 1, 320)       102720      dropout_1[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "dense_12 (Dense)                (None, 1, 320)       102720      dropout_1[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "add (Add)                       (None, 1)            0           dense_4[0][0]                    \n",
      "                                                                 multiply[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "multiply_1 (Multiply)           (None, 1, 320)       0           dense_11[0][0]                   \n",
      "                                                                 dense_12[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization (LayerNorma (None, 1)            2           add[0][0]                        \n",
      "__________________________________________________________________________________________________\n",
      "add_1 (Add)                     (None, 1, 320)       0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_1[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "activation_1 (Activation)       (None, 1)            0           layer_normalization[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_1 (LayerNor (None, 1, 320)       640         add_1[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 1, 1)]       0           activation_1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 1, 320)]     0           layer_normalization_1[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "multiply_2 (Multiply)           (None, 1, 320)       0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 320)]        0           multiply_2[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "dense_13 (Dense)                (None, 320)          102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "activation_3 (Activation)       (None, 320)          0           dense_13[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 4)]      0           input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense_14 (Dense)                (None, 320)          102720      activation_3[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 1)]      0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 1)]      0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 1)]      0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64)]         0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 1)]      0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dropout_2 (Dropout)             (None, 320)          0           dense_14[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_1 (TimeDistrib (None, 64, 320)      640         tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_2 (TimeDistrib (None, 64, 320)      640         tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_3 (TimeDistrib (None, 64, 320)      640         tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "sequential_1 (Sequential)       (None, 64, 320)      320         tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed (TimeDistribut (None, 64, 320)      640         tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_15 (Dense)                (None, 320)          102720      dropout_2[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "dense_16 (Dense)                (None, 320)          102720      dropout_2[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 320, 3)] 0           time_distributed_1[0][0]         \n",
      "                                                                 time_distributed_2[0][0]         \n",
      "                                                                 time_distributed_3[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 320, 1)] 0           sequential_1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 320, 1)] 0           time_distributed[0][0]           \n",
      "__________________________________________________________________________________________________\n",
      "multiply_3 (Multiply)           (None, 320)          0           dense_15[0][0]                   \n",
      "                                                                 dense_16[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320, 3)] 0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320, 1)] 0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320, 1)] 0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "add_2 (Add)                     (None, 320)          0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_3[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320, 5)] 0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_2 (LayerNor (None, 320)          640         add_2[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 1600)]   0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 1, 320)]     0           layer_normalization_2[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320, 1)] 0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_5 (TimeDistrib (None, 32, 320)      512320      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_6 (TimeDistrib (None, 1, 320)       102400      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 1, 320)]     0           layer_normalization_2[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           time_distributed_5[0][0]         \n",
      "                                                                 time_distributed_6[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_31 (TimeDistri (None, 32, 320)      102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_32 (TimeDistri (None, 1, 320)       102400      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "activation_7 (Activation)       (None, 32, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_10 (TimeDistri (None, 32, 320)      102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_14 (TimeDistri (None, 32, 320)      102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_18 (TimeDistri (None, 32, 320)      102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_22 (TimeDistri (None, 32, 320)      102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_26 (TimeDistri (None, 32, 320)      102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           time_distributed_31[0][0]        \n",
      "                                                                 time_distributed_32[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_7 (TimeDistrib (None, 32, 320)      102720      activation_7[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_9 (Activation)       (None, 32, 320)      0           time_distributed_10[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "activation_10 (Activation)      (None, 32, 320)      0           time_distributed_14[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "activation_11 (Activation)      (None, 32, 320)      0           time_distributed_18[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "activation_12 (Activation)      (None, 32, 320)      0           time_distributed_22[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "activation_13 (Activation)      (None, 32, 320)      0           time_distributed_26[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "activation_14 (Activation)      (None, 32, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_36 (TimeDistri (None, 32, 320)      102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dropout_6 (Dropout)             (None, 32, 320)      0           time_distributed_7[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_11 (TimeDistri (None, 32, 320)      102720      activation_9[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_15 (TimeDistri (None, 32, 320)      102720      activation_10[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_19 (TimeDistri (None, 32, 320)      102720      activation_11[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_23 (TimeDistri (None, 32, 320)      102720      activation_12[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_27 (TimeDistri (None, 32, 320)      102720      activation_13[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_33 (TimeDistri (None, 32, 320)      102720      activation_14[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_16 (Activation)      (None, 32, 320)      0           time_distributed_36[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_8 (TimeDistrib (None, 32, 5)        1605        dropout_6[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_9 (TimeDistrib (None, 32, 5)        1605        dropout_6[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "dropout_7 (Dropout)             (None, 32, 320)      0           time_distributed_11[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "dropout_8 (Dropout)             (None, 32, 320)      0           time_distributed_15[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "dropout_9 (Dropout)             (None, 32, 320)      0           time_distributed_19[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "dropout_10 (Dropout)            (None, 32, 320)      0           time_distributed_23[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "dropout_11 (Dropout)            (None, 32, 320)      0           time_distributed_27[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "dense_21 (Dense)                (None, 320)          102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_25 (Dense)                (None, 320)          102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dropout_12 (Dropout)            (None, 32, 320)      0           time_distributed_33[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_37 (TimeDistri (None, 32, 320)      102720      activation_16[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_4 (TimeDistrib (None, 32, 5)        8005        tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "multiply_7 (Multiply)           (None, 32, 5)        0           time_distributed_8[0][0]         \n",
      "                                                                 time_distributed_9[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_12 (TimeDistri (None, 32, 320)      102720      dropout_7[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_13 (TimeDistri (None, 32, 320)      102720      dropout_7[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_16 (TimeDistri (None, 32, 320)      102720      dropout_8[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_17 (TimeDistri (None, 32, 320)      102720      dropout_8[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_20 (TimeDistri (None, 32, 320)      102720      dropout_9[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_21 (TimeDistri (None, 32, 320)      102720      dropout_9[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_24 (TimeDistri (None, 32, 320)      102720      dropout_10[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_25 (TimeDistri (None, 32, 320)      102720      dropout_10[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_28 (TimeDistri (None, 32, 320)      102720      dropout_11[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_29 (TimeDistri (None, 32, 320)      102720      dropout_11[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "activation_5 (Activation)       (None, 320)          0           dense_21[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_6 (Activation)       (None, 320)          0           dense_25[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_34 (TimeDistri (None, 32, 1)        321         dropout_12[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_35 (TimeDistri (None, 32, 1)        321         dropout_12[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "dropout_13 (Dropout)            (None, 32, 320)      0           time_distributed_37[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "add_6 (Add)                     (None, 32, 5)        0           time_distributed_4[0][0]         \n",
      "                                                                 multiply_7[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "multiply_8 (Multiply)           (None, 32, 320)      0           time_distributed_12[0][0]        \n",
      "                                                                 time_distributed_13[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "multiply_9 (Multiply)           (None, 32, 320)      0           time_distributed_16[0][0]        \n",
      "                                                                 time_distributed_17[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "multiply_10 (Multiply)          (None, 32, 320)      0           time_distributed_20[0][0]        \n",
      "                                                                 time_distributed_21[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "multiply_11 (Multiply)          (None, 32, 320)      0           time_distributed_24[0][0]        \n",
      "                                                                 time_distributed_25[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "multiply_12 (Multiply)          (None, 32, 320)      0           time_distributed_28[0][0]        \n",
      "                                                                 time_distributed_29[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "dense_22 (Dense)                (None, 320)          102720      activation_5[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "dense_26 (Dense)                (None, 320)          102720      activation_6[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_30 (TimeDistri (None, 32, 1)        321         tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "multiply_14 (Multiply)          (None, 32, 1)        0           time_distributed_34[0][0]        \n",
      "                                                                 time_distributed_35[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_38 (TimeDistri (None, 32, 320)      102720      dropout_13[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_39 (TimeDistri (None, 32, 320)      102720      dropout_13[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_6 (LayerNor (None, 32, 5)        10          add_6[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "add_7 (Add)                     (None, 32, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_8[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "add_8 (Add)                     (None, 32, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_9[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "add_9 (Add)                     (None, 32, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_10[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "add_10 (Add)                    (None, 32, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_11[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "add_11 (Add)                    (None, 32, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_12[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "dropout_4 (Dropout)             (None, 320)          0           dense_22[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "dropout_5 (Dropout)             (None, 320)          0           dense_26[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "add_12 (Add)                    (None, 32, 1)        0           time_distributed_30[0][0]        \n",
      "                                                                 multiply_14[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "multiply_15 (Multiply)          (None, 32, 320)      0           time_distributed_38[0][0]        \n",
      "                                                                 time_distributed_39[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "activation_8 (Activation)       (None, 32, 5)        0           layer_normalization_6[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_7 (LayerNor (None, 32, 320)      640         add_7[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_8 (LayerNor (None, 32, 320)      640         add_8[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_9 (LayerNor (None, 32, 320)      640         add_9[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_10 (LayerNo (None, 32, 320)      640         add_10[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_11 (LayerNo (None, 32, 320)      640         add_11[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "dense_23 (Dense)                (None, 320)          102720      dropout_4[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "dense_24 (Dense)                (None, 320)          102720      dropout_4[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "dense_27 (Dense)                (None, 320)          102720      dropout_5[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "dense_28 (Dense)                (None, 320)          102720      dropout_5[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_12 (LayerNo (None, 32, 1)        2           add_12[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "add_13 (Add)                    (None, 32, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_15[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 1, 5)]   0           activation_8[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320, 5)] 0           layer_normalization_7[0][0]      \n",
      "                                                                 layer_normalization_8[0][0]      \n",
      "                                                                 layer_normalization_9[0][0]      \n",
      "                                                                 layer_normalization_10[0][0]     \n",
      "                                                                 layer_normalization_11[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "multiply_5 (Multiply)           (None, 320)          0           dense_23[0][0]                   \n",
      "                                                                 dense_24[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "multiply_6 (Multiply)           (None, 320)          0           dense_27[0][0]                   \n",
      "                                                                 dense_28[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_15 (Activation)      (None, 32, 1)        0           layer_normalization_12[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_13 (LayerNo (None, 32, 320)      640         add_13[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "multiply_13 (Multiply)          (None, 32, 320, 5)   0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "add_4 (Add)                     (None, 320)          0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_5[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "add_5 (Add)                     (None, 320)          0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_6[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 1, 1)]   0           activation_15[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320, 1)] 0           layer_normalization_13[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           multiply_13[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_4 (LayerNor (None, 320)          640         add_4[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_5 (LayerNor (None, 320)          640         add_5[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "multiply_16 (Multiply)          (None, 32, 320, 1)   0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_17 (Dense)                (None, 320)          102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "lstm (LSTM)                     [(None, 32, 320), (N 820480      tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 layer_normalization_4[0][0]      \n",
      "                                                                 layer_normalization_5[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           multiply_16[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "activation_4 (Activation)       (None, 320)          0           dense_17[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lstm_1 (LSTM)                   (None, 32, 320)      820480      tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 lstm[0][1]                       \n",
      "                                                                 lstm[0][2]                       \n",
      "__________________________________________________________________________________________________\n",
      "dense_18 (Dense)                (None, 320)          102720      activation_4[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 320)]    0           lstm[0][0]                       \n",
      "                                                                 lstm_1[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "dropout_3 (Dropout)             (None, 320)          0           dense_18[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "dropout_14 (Dropout)            (None, 64, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_19 (Dense)                (None, 320)          102720      dropout_3[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "dense_20 (Dense)                (None, 320)          102720      dropout_3[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_40 (TimeDistri (None, 64, 320)      102720      dropout_14[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_41 (TimeDistri (None, 64, 320)      102720      dropout_14[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "multiply_4 (Multiply)           (None, 320)          0           dense_19[0][0]                   \n",
      "                                                                 dense_20[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "multiply_17 (Multiply)          (None, 64, 320)      0           time_distributed_40[0][0]        \n",
      "                                                                 time_distributed_41[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 320)]    0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "add_3 (Add)                     (None, 320)          0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_4[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "add_14 (Add)                    (None, 64, 320)      0           multiply_17[0][0]                \n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_3 (LayerNor (None, 320)          640         add_3[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_14 (LayerNo (None, 64, 320)      640         add_14[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 1, 320)]     0           layer_normalization_3[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_42 (TimeDistri (None, 64, 320)      102720      layer_normalization_14[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_43 (TimeDistri (None, 1, 320)       102400      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 320)]    0           time_distributed_42[0][0]        \n",
      "                                                                 time_distributed_43[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "activation_17 (Activation)      (None, 64, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_44 (TimeDistri (None, 64, 320)      102720      activation_17[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "dropout_15 (Dropout)            (None, 64, 320)      0           time_distributed_44[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_45 (TimeDistri (None, 64, 320)      102720      dropout_15[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_46 (TimeDistri (None, 64, 320)      102720      dropout_15[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "multiply_18 (Multiply)          (None, 64, 320)      0           time_distributed_45[0][0]        \n",
      "                                                                 time_distributed_46[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "add_15 (Add)                    (None, 64, 320)      0           layer_normalization_14[0][0]     \n",
      "                                                                 multiply_18[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_15 (LayerNo (None, 64, 320)      640         add_15[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(3,)]               0           layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [()]                 0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(3,)]               0           layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [()]                 0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(1,)]               0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(1,)]               0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(2,)]               0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, None)]       0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, None, None)] 0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_73 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "dense_74 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, None, None)] 0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_75 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "dense_76 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "dense_77 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "dense_78 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "dense_79 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "dense_80 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "lambda (Lambda)                 (None, 64, 64)       0           dense_73[0][0]                   \n",
      "                                                                 dense_74[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_1 (Lambda)               (None, None, None)   0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "lambda_3 (Lambda)               (None, 64, 64)       0           dense_75[0][0]                   \n",
      "                                                                 dense_76[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_4 (Lambda)               (None, None, None)   0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "lambda_6 (Lambda)               (None, 64, 64)       0           dense_77[0][0]                   \n",
      "                                                                 dense_78[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_7 (Lambda)               (None, None, None)   0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "lambda_9 (Lambda)               (None, 64, 64)       0           dense_79[0][0]                   \n",
      "                                                                 dense_80[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_10 (Lambda)              (None, None, None)   0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "add_16 (Add)                    (None, 64, 64)       0           lambda[0][0]                     \n",
      "                                                                 lambda_1[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "add_17 (Add)                    (None, 64, 64)       0           lambda_3[0][0]                   \n",
      "                                                                 lambda_4[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "add_18 (Add)                    (None, 64, 64)       0           lambda_6[0][0]                   \n",
      "                                                                 lambda_7[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "add_19 (Add)                    (None, 64, 64)       0           lambda_9[0][0]                   \n",
      "                                                                 lambda_10[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_18 (Activation)      (None, 64, 64)       0           add_16[0][0]                     \n",
      "                                                                 add_17[0][0]                     \n",
      "                                                                 add_18[0][0]                     \n",
      "                                                                 add_19[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "dropout_16 (Dropout)            (None, 64, 64)       0           activation_18[0][0]              \n",
      "                                                                 activation_18[1][0]              \n",
      "                                                                 activation_18[2][0]              \n",
      "                                                                 activation_18[3][0]              \n",
      "__________________________________________________________________________________________________\n",
      "dense_72 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "                                                                 layer_normalization_15[0][0]     \n",
      "                                                                 layer_normalization_15[0][0]     \n",
      "                                                                 layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "lambda_2 (Lambda)               (None, 64, 80)       0           dropout_16[0][0]                 \n",
      "                                                                 dense_72[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_5 (Lambda)               (None, 64, 80)       0           dropout_16[1][0]                 \n",
      "                                                                 dense_72[1][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_8 (Lambda)               (None, 64, 80)       0           dropout_16[2][0]                 \n",
      "                                                                 dense_72[2][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_11 (Lambda)              (None, 64, 80)       0           dropout_16[3][0]                 \n",
      "                                                                 dense_72[3][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "dropout_17 (Dropout)            (None, 64, 80)       0           lambda_2[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "dropout_18 (Dropout)            (None, 64, 80)       0           lambda_5[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "dropout_19 (Dropout)            (None, 64, 80)       0           lambda_8[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "dropout_20 (Dropout)            (None, 64, 80)       0           lambda_11[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(4, None, 64, 80)]  0           dropout_17[0][0]                 \n",
      "                                                                 dropout_18[0][0]                 \n",
      "                                                                 dropout_19[0][0]                 \n",
      "                                                                 dropout_20[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 80)]     0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_81 (Dense)                (None, 64, 320)      25600       tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dropout_21 (Dropout)            (None, 64, 320)      0           dense_81[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "dropout_22 (Dropout)            (None, 64, 320)      0           dropout_21[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_47 (TimeDistri (None, 64, 320)      102720      dropout_22[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_48 (TimeDistri (None, 64, 320)      102720      dropout_22[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "multiply_19 (Multiply)          (None, 64, 320)      0           time_distributed_47[0][0]        \n",
      "                                                                 time_distributed_48[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "add_20 (Add)                    (None, 64, 320)      0           multiply_19[0][0]                \n",
      "                                                                 layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_16 (LayerNo (None, 64, 320)      640         add_20[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_49 (TimeDistri (None, 64, 320)      102720      layer_normalization_16[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_19 (Activation)      (None, 64, 320)      0           time_distributed_49[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_50 (TimeDistri (None, 64, 320)      102720      activation_19[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "dropout_23 (Dropout)            (None, 64, 320)      0           time_distributed_50[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_51 (TimeDistri (None, 64, 320)      102720      dropout_23[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_52 (TimeDistri (None, 64, 320)      102720      dropout_23[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "multiply_20 (Multiply)          (None, 64, 320)      0           time_distributed_51[0][0]        \n",
      "                                                                 time_distributed_52[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "add_21 (Add)                    (None, 64, 320)      0           layer_normalization_16[0][0]     \n",
      "                                                                 multiply_20[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_17 (LayerNo (None, 64, 320)      640         add_21[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_53 (TimeDistri (None, 64, 320)      102720      layer_normalization_17[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_54 (TimeDistri (None, 64, 320)      102720      layer_normalization_17[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "multiply_21 (Multiply)          (None, 64, 320)      0           time_distributed_53[0][0]        \n",
      "                                                                 time_distributed_54[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "add_22 (Add)                    (None, 64, 320)      0           multiply_21[0][0]                \n",
      "                                                                 layer_normalization_14[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_18 (LayerNo (None, 64, 320)      640         add_22[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           layer_normalization_18[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_55 (TimeDistri (None, 32, 3)        963         tf_op_layer_TemporalFusionTransfo\n",
      "==================================================================================================\n",
      "Total params: 9,215,398\n",
      "Trainable params: 9,215,398\n",
      "Non-trainable params: 0\n",
      "__________________________________________________________________________________________________\n",
      "None\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cached data \"train\" updated\n",
      "Cached data \"valid\" updated\n",
      "*** Fitting TemporalFusionTransformer ***\n",
      "Getting batched_data\n",
      "Using cached training data\n",
      "Using cached validation data\n",
      "Using keras standard fit\n",
      "Train on 69522 samples, validate on 23133 samples\n",
      "Epoch 1/100\n",
      "69522/69522 [==============================] - 103s 1ms/sample - loss: 0.5913 - val_loss: 0.2904\n",
      "Epoch 2/100\n",
      "69522/69522 [==============================] - 85s 1ms/sample - loss: 0.3023 - val_loss: 0.2140\n",
      "Epoch 3/100\n",
      "69522/69522 [==============================] - 85s 1ms/sample - loss: 0.2732 - val_loss: 0.1979\n",
      "Epoch 4/100\n",
      "69522/69522 [==============================] - 86s 1ms/sample - loss: 0.2609 - val_loss: 0.1965\n",
      "Epoch 5/100\n",
      "69522/69522 [==============================] - 75s 1ms/sample - loss: 0.2495 - val_loss: 0.2061\n",
      "Epoch 6/100\n",
      "69522/69522 [==============================] - 75s 1ms/sample - loss: 0.2379 - val_loss: 0.2053\n",
      "Epoch 7/100\n",
      "69522/69522 [==============================] - 78s 1ms/sample - loss: 0.2376 - val_loss: 0.1836\n",
      "Epoch 8/100\n",
      "69522/69522 [==============================] - 75s 1ms/sample - loss: 0.2290 - val_loss: 0.1869\n",
      "Epoch 9/100\n",
      "69522/69522 [==============================] - 75s 1ms/sample - loss: 0.2138 - val_loss: 0.1954\n",
      "Epoch 10/100\n",
      "69522/69522 [==============================] - 75s 1ms/sample - loss: 0.2079 - val_loss: 0.1974\n",
      "Epoch 11/100\n",
      "69522/69522 [==============================] - 75s 1ms/sample - loss: 0.1922 - val_loss: 0.3211\n",
      "Epoch 12/100\n",
      "69522/69522 [==============================] - 74s 1ms/sample - loss: 0.1613 - val_loss: 0.2797\n",
      "Cannot load from /mnt/srv/home/dlpc.890/TFT/repo/tft/outputs_smartFall_wo_known/saved_models/smartFall_wo_known_16/fixed/tmp, skipping ...\n",
      "Using cached validation data\n",
      "Optimal model found, updating\n",
      "WARNING:tensorflow:From /mnt/srv/home/dlpc.890/TFT/repo/tft/libs/tft_model.py:1377: The name tf.keras.backend.get_session is deprecated. Please use tf.compat.v1.keras.backend.get_session instead.\n",
      "\n",
      "Model saved to: /mnt/srv/home/dlpc.890/TFT/repo/tft/outputs_smartFall_wo_known/saved_models/smartFall_wo_known_16/fixed/TemporalFusionTransformer.ckpt\n",
      "Model saved to: /mnt/srv/home/dlpc.890/TFT/repo/tft/outputs_smartFall_wo_known/saved_models/smartFall_wo_known_16/fixed/TemporalFusionTransformer.ckpt\n"
     ]
    }
   ],
   "source": [
    "with tf.Graph().as_default(), tf.compat.v1.Session(config=tf_config) as sess:\n",
    "\n",
    "    tf.compat.v1.keras.backend.set_session(sess)\n",
    "    params = opt_manager.get_next_parameters()\n",
    "    # Create a TFT model\n",
    "    model = TemporalFusionTransformer(model_params,\n",
    "                                    use_cudnn=True) # Run model on GPU using CuDNNLSTM cells\n",
    "\n",
    "    # Sample data into minibatches for training\n",
    "    if not model.training_data_cached():\n",
    "        model.cache_batched_data(train, \"train\", num_samples=train_samples)\n",
    "        model.cache_batched_data(valid, \"valid\", num_samples=valid_samples)\n",
    "\n",
    "    # Train and save model\n",
    "    model.fit()\n",
    "    \n",
    "    val_loss = model.evaluate()\n",
    "    if np.allclose(val_loss, 0.) or np.isnan(val_loss):\n",
    "        # Set all invalid losses to infintiy.\n",
    "        # N.b. val_loss only becomes 0. when the weights are nan.\n",
    "        print(\"Skipping bad configuration....\")\n",
    "        val_loss = np.inf\n",
    "    opt_manager.update_score(params, val_loss, model)\n",
    "    tf.compat.v1.keras.backend.set_session(sess)\n",
    "    model.save(model_folder)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:51:34.723210Z",
     "start_time": "2021-07-07T06:50:44.196033Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Device mapping:\n",
      "/job:localhost/replica:0/task:0/device:GPU:0 -> device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:3e:00.0, compute capability: 7.5\n",
      "/job:localhost/replica:0/task:0/device:GPU:1 -> device: 1, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:62:00.0, compute capability: 7.5\n",
      "/job:localhost/replica:0/task:0/device:GPU:2 -> device: 2, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:64:00.0, compute capability: 7.5\n",
      "\n",
      "Resetting temp folder...\n",
      "*** TemporalFusionTransformer params ***\n",
      "# dropout_rate = 0.3\n",
      "# hidden_layer_size = 320\n",
      "# learning_rate = 0.001\n",
      "# minibatch_size = 256\n",
      "# max_gradient_norm = 100.0\n",
      "# num_heads = 4\n",
      "# stack_size = 1\n",
      "# model_folder = /mnt/srv/home/dlpc.890/TFT/repo/tft/outputs_smartFall_wo_known/saved_models/smartFall_wo_known_16/fixed\n",
      "# total_time_steps = 64\n",
      "# num_encoder_steps = 32\n",
      "# num_epochs = 100\n",
      "# early_stopping_patience = 5\n",
      "# multiprocessing_workers = 5\n",
      "# column_definition = [('per-id', <DataTypes.CATEGORICAL: 1>, <InputTypes.ID: 4>), ('time', <DataTypes.REAL_VALUED: 0>, <InputTypes.TIME: 5>), (' ms_accelerometer_y', <DataTypes.REAL_VALUED: 0>, <InputTypes.OBSERVED_INPUT: 1>), (' ms_accelerometer_z', <DataTypes.REAL_VALUED: 0>, <InputTypes.OBSERVED_INPUT: 1>), (' ms_accelerometer_x', <DataTypes.REAL_VALUED: 0>, <InputTypes.OBSERVED_INPUT: 1>), ('outcome', <DataTypes.REAL_VALUED: 0>, <InputTypes.TARGET: 0>), ('circum', <DataTypes.CATEGORICAL: 1>, <InputTypes.STATIC_INPUT: 3>), ('known', <DataTypes.CATEGORICAL: 1>, <InputTypes.KNOWN_INPUT: 2>)]\n",
      "# input_size = 6\n",
      "# output_size = 1\n",
      "# category_counts = [1, 1]\n",
      "# input_obs_loc = [3]\n",
      "# static_input_loc = [4]\n",
      "# known_regular_inputs = []\n",
      "# known_categorical_inputs = [0, 1]\n",
      "Tensor(\"TemporalFusionTransformer/stack:0\", shape=(None, 1, 320), dtype=float32)\n",
      "WARNING:tensorflow:Layer lstm will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU\n",
      "WARNING:tensorflow:Layer lstm_1 will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU\n",
      "Model: \"model\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            [(None, 64, 6)]      0                                            \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 2)]      0           input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64)]         0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "sequential (Sequential)         (None, 64, 320)      320         tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 320)]        0           sequential[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 1, 320)]     0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "flatten (Flatten)               (None, 320)          0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_5 (Dense)                 (None, 320)          102720      flatten[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 1, 320)]     0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "activation (Activation)         (None, 320)          0           dense_5[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense_9 (Dense)                 (None, 1, 320)       102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_6 (Dense)                 (None, 320)          102720      activation[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "activation_2 (Activation)       (None, 1, 320)       0           dense_9[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dropout (Dropout)               (None, 320)          0           dense_6[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense_10 (Dense)                (None, 1, 320)       102720      activation_2[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "dense_7 (Dense)                 (None, 1)            321         dropout[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense_8 (Dense)                 (None, 1)            321         dropout[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dropout_1 (Dropout)             (None, 1, 320)       0           dense_10[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "dense_4 (Dense)                 (None, 1)            321         flatten[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "multiply (Multiply)             (None, 1)            0           dense_7[0][0]                    \n",
      "                                                                 dense_8[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense_11 (Dense)                (None, 1, 320)       102720      dropout_1[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "dense_12 (Dense)                (None, 1, 320)       102720      dropout_1[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "add (Add)                       (None, 1)            0           dense_4[0][0]                    \n",
      "                                                                 multiply[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "multiply_1 (Multiply)           (None, 1, 320)       0           dense_11[0][0]                   \n",
      "                                                                 dense_12[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization (LayerNorma (None, 1)            2           add[0][0]                        \n",
      "__________________________________________________________________________________________________\n",
      "add_1 (Add)                     (None, 1, 320)       0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_1[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "activation_1 (Activation)       (None, 1)            0           layer_normalization[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_1 (LayerNor (None, 1, 320)       640         add_1[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 1, 1)]       0           activation_1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 1, 320)]     0           layer_normalization_1[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "multiply_2 (Multiply)           (None, 1, 320)       0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 320)]        0           multiply_2[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "dense_13 (Dense)                (None, 320)          102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "activation_3 (Activation)       (None, 320)          0           dense_13[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 4)]      0           input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense_14 (Dense)                (None, 320)          102720      activation_3[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 1)]      0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 1)]      0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 1)]      0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64)]         0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 1)]      0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dropout_2 (Dropout)             (None, 320)          0           dense_14[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_1 (TimeDistrib (None, 64, 320)      640         tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_2 (TimeDistrib (None, 64, 320)      640         tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_3 (TimeDistrib (None, 64, 320)      640         tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "sequential_1 (Sequential)       (None, 64, 320)      320         tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed (TimeDistribut (None, 64, 320)      640         tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_15 (Dense)                (None, 320)          102720      dropout_2[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "dense_16 (Dense)                (None, 320)          102720      dropout_2[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 320, 3)] 0           time_distributed_1[0][0]         \n",
      "                                                                 time_distributed_2[0][0]         \n",
      "                                                                 time_distributed_3[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 320, 1)] 0           sequential_1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 320, 1)] 0           time_distributed[0][0]           \n",
      "__________________________________________________________________________________________________\n",
      "multiply_3 (Multiply)           (None, 320)          0           dense_15[0][0]                   \n",
      "                                                                 dense_16[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320, 3)] 0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320, 1)] 0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320, 1)] 0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "add_2 (Add)                     (None, 320)          0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_3[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320, 5)] 0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_2 (LayerNor (None, 320)          640         add_2[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 1600)]   0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 1, 320)]     0           layer_normalization_2[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320, 1)] 0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_5 (TimeDistrib (None, 32, 320)      512320      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_6 (TimeDistrib (None, 1, 320)       102400      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 1, 320)]     0           layer_normalization_2[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           time_distributed_5[0][0]         \n",
      "                                                                 time_distributed_6[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_31 (TimeDistri (None, 32, 320)      102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_32 (TimeDistri (None, 1, 320)       102400      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "activation_7 (Activation)       (None, 32, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_10 (TimeDistri (None, 32, 320)      102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_14 (TimeDistri (None, 32, 320)      102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_18 (TimeDistri (None, 32, 320)      102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_22 (TimeDistri (None, 32, 320)      102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_26 (TimeDistri (None, 32, 320)      102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           time_distributed_31[0][0]        \n",
      "                                                                 time_distributed_32[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_7 (TimeDistrib (None, 32, 320)      102720      activation_7[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_9 (Activation)       (None, 32, 320)      0           time_distributed_10[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "activation_10 (Activation)      (None, 32, 320)      0           time_distributed_14[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "activation_11 (Activation)      (None, 32, 320)      0           time_distributed_18[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "activation_12 (Activation)      (None, 32, 320)      0           time_distributed_22[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "activation_13 (Activation)      (None, 32, 320)      0           time_distributed_26[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "activation_14 (Activation)      (None, 32, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_36 (TimeDistri (None, 32, 320)      102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dropout_6 (Dropout)             (None, 32, 320)      0           time_distributed_7[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_11 (TimeDistri (None, 32, 320)      102720      activation_9[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_15 (TimeDistri (None, 32, 320)      102720      activation_10[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_19 (TimeDistri (None, 32, 320)      102720      activation_11[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_23 (TimeDistri (None, 32, 320)      102720      activation_12[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_27 (TimeDistri (None, 32, 320)      102720      activation_13[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_33 (TimeDistri (None, 32, 320)      102720      activation_14[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_16 (Activation)      (None, 32, 320)      0           time_distributed_36[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_8 (TimeDistrib (None, 32, 5)        1605        dropout_6[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_9 (TimeDistrib (None, 32, 5)        1605        dropout_6[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "dropout_7 (Dropout)             (None, 32, 320)      0           time_distributed_11[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "dropout_8 (Dropout)             (None, 32, 320)      0           time_distributed_15[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "dropout_9 (Dropout)             (None, 32, 320)      0           time_distributed_19[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "dropout_10 (Dropout)            (None, 32, 320)      0           time_distributed_23[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "dropout_11 (Dropout)            (None, 32, 320)      0           time_distributed_27[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "dense_21 (Dense)                (None, 320)          102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_25 (Dense)                (None, 320)          102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dropout_12 (Dropout)            (None, 32, 320)      0           time_distributed_33[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_37 (TimeDistri (None, 32, 320)      102720      activation_16[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_4 (TimeDistrib (None, 32, 5)        8005        tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "multiply_7 (Multiply)           (None, 32, 5)        0           time_distributed_8[0][0]         \n",
      "                                                                 time_distributed_9[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_12 (TimeDistri (None, 32, 320)      102720      dropout_7[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_13 (TimeDistri (None, 32, 320)      102720      dropout_7[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_16 (TimeDistri (None, 32, 320)      102720      dropout_8[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_17 (TimeDistri (None, 32, 320)      102720      dropout_8[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_20 (TimeDistri (None, 32, 320)      102720      dropout_9[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_21 (TimeDistri (None, 32, 320)      102720      dropout_9[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_24 (TimeDistri (None, 32, 320)      102720      dropout_10[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_25 (TimeDistri (None, 32, 320)      102720      dropout_10[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_28 (TimeDistri (None, 32, 320)      102720      dropout_11[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_29 (TimeDistri (None, 32, 320)      102720      dropout_11[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "activation_5 (Activation)       (None, 320)          0           dense_21[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_6 (Activation)       (None, 320)          0           dense_25[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_34 (TimeDistri (None, 32, 1)        321         dropout_12[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_35 (TimeDistri (None, 32, 1)        321         dropout_12[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "dropout_13 (Dropout)            (None, 32, 320)      0           time_distributed_37[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "add_6 (Add)                     (None, 32, 5)        0           time_distributed_4[0][0]         \n",
      "                                                                 multiply_7[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "multiply_8 (Multiply)           (None, 32, 320)      0           time_distributed_12[0][0]        \n",
      "                                                                 time_distributed_13[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "multiply_9 (Multiply)           (None, 32, 320)      0           time_distributed_16[0][0]        \n",
      "                                                                 time_distributed_17[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "multiply_10 (Multiply)          (None, 32, 320)      0           time_distributed_20[0][0]        \n",
      "                                                                 time_distributed_21[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "multiply_11 (Multiply)          (None, 32, 320)      0           time_distributed_24[0][0]        \n",
      "                                                                 time_distributed_25[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "multiply_12 (Multiply)          (None, 32, 320)      0           time_distributed_28[0][0]        \n",
      "                                                                 time_distributed_29[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "dense_22 (Dense)                (None, 320)          102720      activation_5[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "dense_26 (Dense)                (None, 320)          102720      activation_6[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_30 (TimeDistri (None, 32, 1)        321         tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "multiply_14 (Multiply)          (None, 32, 1)        0           time_distributed_34[0][0]        \n",
      "                                                                 time_distributed_35[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_38 (TimeDistri (None, 32, 320)      102720      dropout_13[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_39 (TimeDistri (None, 32, 320)      102720      dropout_13[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_6 (LayerNor (None, 32, 5)        10          add_6[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "add_7 (Add)                     (None, 32, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_8[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "add_8 (Add)                     (None, 32, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_9[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "add_9 (Add)                     (None, 32, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_10[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "add_10 (Add)                    (None, 32, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_11[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "add_11 (Add)                    (None, 32, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_12[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "dropout_4 (Dropout)             (None, 320)          0           dense_22[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "dropout_5 (Dropout)             (None, 320)          0           dense_26[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "add_12 (Add)                    (None, 32, 1)        0           time_distributed_30[0][0]        \n",
      "                                                                 multiply_14[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "multiply_15 (Multiply)          (None, 32, 320)      0           time_distributed_38[0][0]        \n",
      "                                                                 time_distributed_39[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "activation_8 (Activation)       (None, 32, 5)        0           layer_normalization_6[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_7 (LayerNor (None, 32, 320)      640         add_7[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_8 (LayerNor (None, 32, 320)      640         add_8[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_9 (LayerNor (None, 32, 320)      640         add_9[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_10 (LayerNo (None, 32, 320)      640         add_10[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_11 (LayerNo (None, 32, 320)      640         add_11[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "dense_23 (Dense)                (None, 320)          102720      dropout_4[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "dense_24 (Dense)                (None, 320)          102720      dropout_4[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "dense_27 (Dense)                (None, 320)          102720      dropout_5[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "dense_28 (Dense)                (None, 320)          102720      dropout_5[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_12 (LayerNo (None, 32, 1)        2           add_12[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "add_13 (Add)                    (None, 32, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_15[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 1, 5)]   0           activation_8[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320, 5)] 0           layer_normalization_7[0][0]      \n",
      "                                                                 layer_normalization_8[0][0]      \n",
      "                                                                 layer_normalization_9[0][0]      \n",
      "                                                                 layer_normalization_10[0][0]     \n",
      "                                                                 layer_normalization_11[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "multiply_5 (Multiply)           (None, 320)          0           dense_23[0][0]                   \n",
      "                                                                 dense_24[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "multiply_6 (Multiply)           (None, 320)          0           dense_27[0][0]                   \n",
      "                                                                 dense_28[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_15 (Activation)      (None, 32, 1)        0           layer_normalization_12[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_13 (LayerNo (None, 32, 320)      640         add_13[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "multiply_13 (Multiply)          (None, 32, 320, 5)   0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "add_4 (Add)                     (None, 320)          0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_5[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "add_5 (Add)                     (None, 320)          0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_6[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 1, 1)]   0           activation_15[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320, 1)] 0           layer_normalization_13[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           multiply_13[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_4 (LayerNor (None, 320)          640         add_4[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_5 (LayerNor (None, 320)          640         add_5[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "multiply_16 (Multiply)          (None, 32, 320, 1)   0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_17 (Dense)                (None, 320)          102720      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "lstm (LSTM)                     [(None, 32, 320), (N 820480      tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 layer_normalization_4[0][0]      \n",
      "                                                                 layer_normalization_5[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           multiply_16[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "activation_4 (Activation)       (None, 320)          0           dense_17[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lstm_1 (LSTM)                   (None, 32, 320)      820480      tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 lstm[0][1]                       \n",
      "                                                                 lstm[0][2]                       \n",
      "__________________________________________________________________________________________________\n",
      "dense_18 (Dense)                (None, 320)          102720      activation_4[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 320)]    0           lstm[0][0]                       \n",
      "                                                                 lstm_1[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "dropout_3 (Dropout)             (None, 320)          0           dense_18[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "dropout_14 (Dropout)            (None, 64, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_19 (Dense)                (None, 320)          102720      dropout_3[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "dense_20 (Dense)                (None, 320)          102720      dropout_3[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_40 (TimeDistri (None, 64, 320)      102720      dropout_14[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_41 (TimeDistri (None, 64, 320)      102720      dropout_14[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "multiply_4 (Multiply)           (None, 320)          0           dense_19[0][0]                   \n",
      "                                                                 dense_20[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "multiply_17 (Multiply)          (None, 64, 320)      0           time_distributed_40[0][0]        \n",
      "                                                                 time_distributed_41[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 320)]    0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "add_3 (Add)                     (None, 320)          0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 multiply_4[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "add_14 (Add)                    (None, 64, 320)      0           multiply_17[0][0]                \n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_3 (LayerNor (None, 320)          640         add_3[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_14 (LayerNo (None, 64, 320)      640         add_14[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 1, 320)]     0           layer_normalization_3[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_42 (TimeDistri (None, 64, 320)      102720      layer_normalization_14[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_43 (TimeDistri (None, 1, 320)       102400      tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 320)]    0           time_distributed_42[0][0]        \n",
      "                                                                 time_distributed_43[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "activation_17 (Activation)      (None, 64, 320)      0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_44 (TimeDistri (None, 64, 320)      102720      activation_17[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "dropout_15 (Dropout)            (None, 64, 320)      0           time_distributed_44[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_45 (TimeDistri (None, 64, 320)      102720      dropout_15[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_46 (TimeDistri (None, 64, 320)      102720      dropout_15[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "multiply_18 (Multiply)          (None, 64, 320)      0           time_distributed_45[0][0]        \n",
      "                                                                 time_distributed_46[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "add_15 (Add)                    (None, 64, 320)      0           layer_normalization_14[0][0]     \n",
      "                                                                 multiply_18[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_15 (LayerNo (None, 64, 320)      640         add_15[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(3,)]               0           layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [()]                 0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(3,)]               0           layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [()]                 0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(1,)]               0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(1,)]               0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(2,)]               0           tf_op_layer_TemporalFusionTransfo\n",
      "                                                                 tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, None)]       0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, None, None)] 0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_73 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "dense_74 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, None, None)] 0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_75 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "dense_76 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "dense_77 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "dense_78 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "dense_79 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "dense_80 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "lambda (Lambda)                 (None, 64, 64)       0           dense_73[0][0]                   \n",
      "                                                                 dense_74[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_1 (Lambda)               (None, None, None)   0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "lambda_3 (Lambda)               (None, 64, 64)       0           dense_75[0][0]                   \n",
      "                                                                 dense_76[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_4 (Lambda)               (None, None, None)   0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "lambda_6 (Lambda)               (None, 64, 64)       0           dense_77[0][0]                   \n",
      "                                                                 dense_78[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_7 (Lambda)               (None, None, None)   0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "lambda_9 (Lambda)               (None, 64, 64)       0           dense_79[0][0]                   \n",
      "                                                                 dense_80[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_10 (Lambda)              (None, None, None)   0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "add_16 (Add)                    (None, 64, 64)       0           lambda[0][0]                     \n",
      "                                                                 lambda_1[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "add_17 (Add)                    (None, 64, 64)       0           lambda_3[0][0]                   \n",
      "                                                                 lambda_4[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "add_18 (Add)                    (None, 64, 64)       0           lambda_6[0][0]                   \n",
      "                                                                 lambda_7[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "add_19 (Add)                    (None, 64, 64)       0           lambda_9[0][0]                   \n",
      "                                                                 lambda_10[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_18 (Activation)      (None, 64, 64)       0           add_16[0][0]                     \n",
      "                                                                 add_17[0][0]                     \n",
      "                                                                 add_18[0][0]                     \n",
      "                                                                 add_19[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "dropout_16 (Dropout)            (None, 64, 64)       0           activation_18[0][0]              \n",
      "                                                                 activation_18[1][0]              \n",
      "                                                                 activation_18[2][0]              \n",
      "                                                                 activation_18[3][0]              \n",
      "__________________________________________________________________________________________________\n",
      "dense_72 (Dense)                (None, 64, 80)       25600       layer_normalization_15[0][0]     \n",
      "                                                                 layer_normalization_15[0][0]     \n",
      "                                                                 layer_normalization_15[0][0]     \n",
      "                                                                 layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "lambda_2 (Lambda)               (None, 64, 80)       0           dropout_16[0][0]                 \n",
      "                                                                 dense_72[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_5 (Lambda)               (None, 64, 80)       0           dropout_16[1][0]                 \n",
      "                                                                 dense_72[1][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_8 (Lambda)               (None, 64, 80)       0           dropout_16[2][0]                 \n",
      "                                                                 dense_72[2][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_11 (Lambda)              (None, 64, 80)       0           dropout_16[3][0]                 \n",
      "                                                                 dense_72[3][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "dropout_17 (Dropout)            (None, 64, 80)       0           lambda_2[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "dropout_18 (Dropout)            (None, 64, 80)       0           lambda_5[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "dropout_19 (Dropout)            (None, 64, 80)       0           lambda_8[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "dropout_20 (Dropout)            (None, 64, 80)       0           lambda_11[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(4, None, 64, 80)]  0           dropout_17[0][0]                 \n",
      "                                                                 dropout_18[0][0]                 \n",
      "                                                                 dropout_19[0][0]                 \n",
      "                                                                 dropout_20[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 64, 80)]     0           tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dense_81 (Dense)                (None, 64, 320)      25600       tf_op_layer_TemporalFusionTransfo\n",
      "__________________________________________________________________________________________________\n",
      "dropout_21 (Dropout)            (None, 64, 320)      0           dense_81[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "dropout_22 (Dropout)            (None, 64, 320)      0           dropout_21[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_47 (TimeDistri (None, 64, 320)      102720      dropout_22[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_48 (TimeDistri (None, 64, 320)      102720      dropout_22[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "multiply_19 (Multiply)          (None, 64, 320)      0           time_distributed_47[0][0]        \n",
      "                                                                 time_distributed_48[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "add_20 (Add)                    (None, 64, 320)      0           multiply_19[0][0]                \n",
      "                                                                 layer_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_16 (LayerNo (None, 64, 320)      640         add_20[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_49 (TimeDistri (None, 64, 320)      102720      layer_normalization_16[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_19 (Activation)      (None, 64, 320)      0           time_distributed_49[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_50 (TimeDistri (None, 64, 320)      102720      activation_19[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "dropout_23 (Dropout)            (None, 64, 320)      0           time_distributed_50[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_51 (TimeDistri (None, 64, 320)      102720      dropout_23[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_52 (TimeDistri (None, 64, 320)      102720      dropout_23[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "multiply_20 (Multiply)          (None, 64, 320)      0           time_distributed_51[0][0]        \n",
      "                                                                 time_distributed_52[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "add_21 (Add)                    (None, 64, 320)      0           layer_normalization_16[0][0]     \n",
      "                                                                 multiply_20[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_17 (LayerNo (None, 64, 320)      640         add_21[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_53 (TimeDistri (None, 64, 320)      102720      layer_normalization_17[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_54 (TimeDistri (None, 64, 320)      102720      layer_normalization_17[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "multiply_21 (Multiply)          (None, 64, 320)      0           time_distributed_53[0][0]        \n",
      "                                                                 time_distributed_54[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "add_22 (Add)                    (None, 64, 320)      0           multiply_21[0][0]                \n",
      "                                                                 layer_normalization_14[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "layer_normalization_18 (LayerNo (None, 64, 320)      640         add_22[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "tf_op_layer_TemporalFusionTrans [(None, 32, 320)]    0           layer_normalization_18[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_55 (TimeDistri (None, 32, 3)        963         tf_op_layer_TemporalFusionTransfo\n",
      "==================================================================================================\n",
      "Total params: 9,215,398\n",
      "Trainable params: 9,215,398\n",
      "Non-trainable params: 0\n",
      "__________________________________________________________________________________________________\n",
      "None\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /mnt/srv/home/dlpc.890/TFT/repo/tft/libs/tft_model.py:1400: The name tf.keras.backend.get_session is deprecated. Please use tf.compat.v1.keras.backend.get_session instead.\n",
      "\n",
      "Loading model from /mnt/srv/home/dlpc.890/TFT/repo/tft/outputs_smartFall_wo_known/saved_models/smartFall_wo_known_16/fixed/TemporalFusionTransformer.ckpt\n",
      "tensor: TemporalFusionTransformer/dense_10/bias (float32) [320]\n",
      "[ 3.90736433e-03 -8.09148978e-03  5.80859650e-03 -3.26214395e-05\n",
      " -7.37836445e-03 -7.09278323e-03 -5.27605414e-03 -5.48845530e-03\n",
      " -3.07535892e-03 -6.48250664e-03 -2.82901688e-03  6.96052564e-03\n",
      "  8.25098809e-03  1.67759962e-03 -9.93560813e-03  6.70277420e-03\n",
      "  5.54524129e-03  6.08276855e-03  6.80773659e-03 -6.46889070e-03\n",
      " -8.47550109e-03  5.06357243e-03 -7.68134277e-03  3.82415671e-03\n",
      "  4.55373526e-03 -6.80800714e-03 -8.44190177e-03  6.93954853e-03\n",
      "  1.23438123e-03 -7.04602944e-03 -4.54157032e-03 -5.32993767e-03\n",
      "  4.15522838e-03 -3.13901040e-03 -9.82937496e-03  6.11629197e-03\n",
      " -4.51799342e-03 -5.61720738e-03  6.59910077e-03 -5.84342191e-03\n",
      " -5.19651035e-03  5.21808490e-03  4.52747475e-03 -1.82789518e-03\n",
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      "  8.15251190e-03 -4.60753543e-03 -6.37639081e-03 -7.73556856e-03\n",
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      " -4.61357832e-03 -4.92687628e-04 -5.71241137e-03  5.25590614e-04\n",
      "  7.42708240e-03 -7.86582753e-03 -5.26410714e-03 -2.42067757e-03\n",
      "  4.41366481e-03 -4.84887278e-03 -6.50048116e-03  5.90342144e-03\n",
      " -9.71669517e-03 -8.97500850e-03 -5.23471413e-03 -6.14146702e-03\n",
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      " -7.78934592e-03  4.68626898e-03  5.28508332e-03  5.21964440e-03\n",
      " -1.96062285e-03 -5.90944570e-03  6.80975337e-03  9.89240035e-03\n",
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      " -8.27358291e-03 -8.01106170e-03 -8.35494418e-03  3.65334097e-03\n",
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      "  5.65274945e-03  5.21887327e-03  6.76968787e-03  3.25463433e-03\n",
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      " -4.71012434e-03 -6.20665820e-03 -4.84012766e-03 -8.74630082e-03\n",
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      " -8.82372912e-03  5.04463352e-03 -7.70701980e-03 -7.51326839e-03\n",
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      " -6.89580338e-05 -6.65087532e-03 -6.49797590e-03  7.55284214e-03\n",
      " -9.76941269e-03  4.00508381e-03 -2.34115520e-03  7.51977134e-03\n",
      "  6.83721015e-03 -2.19562580e-03 -8.49432312e-03 -5.91490930e-03\n",
      "  7.01333745e-04 -1.53452775e-03  1.84780301e-03  7.20193377e-03\n",
      " -8.19301058e-04  3.20365513e-03 -5.66839473e-03 -6.64809346e-03\n",
      "  6.69864612e-03 -5.98275382e-03  6.63915090e-03  6.45325147e-03\n",
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      " -1.50553024e-04 -6.72292989e-03 -7.82797672e-03 -9.50748043e-04\n",
      " -6.70224009e-03  4.72341664e-03  6.56499527e-03  6.50199410e-03\n",
      "  7.50482595e-03 -8.50621890e-03  7.79891107e-03  4.17916942e-03\n",
      "  7.12210592e-03  1.03061590e-02 -7.14490097e-03 -3.97072267e-03\n",
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      " -5.65719139e-03  3.65312467e-03  3.64223425e-03  7.63381179e-03\n",
      "  5.29017719e-03 -3.47393623e-04 -8.25425051e-03 -7.36827357e-03\n",
      " -6.82786107e-03 -4.87454887e-03  3.40269692e-03 -2.19125464e-03\n",
      "  7.38205202e-03 -1.18010805e-03  6.58091391e-03 -8.26562941e-03\n",
      "  5.51710883e-03  4.10880428e-03  7.30672525e-03  7.86212645e-03\n",
      " -8.63937661e-03  4.60160896e-03 -4.97142226e-03 -4.54317732e-03\n",
      " -6.03414746e-03 -5.27080148e-03  8.54355749e-03 -7.51291076e-03\n",
      "  5.12966327e-03 -1.26607891e-03 -6.71886187e-03 -5.70006296e-03\n",
      "  1.43406086e-03  5.66170737e-03  6.58399193e-03 -6.65797805e-03\n",
      "  7.56233791e-03  5.60188061e-03 -5.23482496e-03  8.89824983e-03\n",
      " -5.99485449e-03  9.31554008e-03 -3.17638763e-03 -2.89083016e-03\n",
      " -7.38375960e-03  3.89724155e-03  5.90872066e-03 -8.64306744e-03\n",
      " -1.08457124e-03  6.72320696e-03  1.09694677e-03  6.24195626e-03\n",
      " -7.69657362e-03 -6.25575660e-03  7.69006414e-03 -6.01352518e-03\n",
      "  4.47797356e-03  5.70086623e-03 -9.32855345e-03  2.25739484e-03\n",
      "  7.17597222e-03  9.82317515e-03 -4.69680084e-03 -1.82859681e-03\n",
      " -9.79705248e-04  5.13444236e-03 -7.49939587e-03  7.93869421e-03\n",
      " -6.92118378e-03 -8.02589860e-03 -2.32143071e-03  7.87473191e-03\n",
      "  1.87171495e-03  5.16138040e-03  7.18901074e-03 -6.64179446e-03\n",
      " -5.50462119e-03  7.30512058e-03 -8.99311807e-03  7.14067090e-03\n",
      "  3.89119913e-03  3.44336196e-03 -2.55449419e-03  9.19171702e-03\n",
      "  3.20120761e-03  6.94259303e-03  5.04927710e-03 -8.50862637e-03\n",
      "  9.10721626e-03  6.79211412e-03 -1.29360263e-03  5.26634417e-03\n",
      "  1.23942876e-02  7.33125117e-03  2.24966928e-03 -4.58787195e-03\n",
      " -4.87227552e-03 -1.43002340e-04 -5.89665957e-03  8.14419612e-03\n",
      " -5.33242850e-03 -6.43034466e-03 -6.95962086e-03 -7.05212215e-03]\n",
      "tensor: TemporalFusionTransformer/dense_10/kernel (float32) [320, 320]\n",
      "[[-0.07717326  0.02606247  0.07035489 ...  0.02080865 -0.06552325\n",
      "  -0.08908258]\n",
      " [-0.05339434  0.04525669 -0.03211213 ...  0.04617685  0.04381736\n",
      "  -0.07829657]\n",
      " [-0.0196678   0.00348017  0.03202449 ...  0.00623501 -0.05886751\n",
      "   0.06987482]\n",
      " ...\n",
      " [-0.04824614  0.00565372  0.09067067 ...  0.04058524 -0.00174077\n",
      "   0.00976256]\n",
      " [ 0.0649346   0.02058432  0.09229602 ... -0.01122814  0.06723037\n",
      "  -0.04717102]\n",
      " [ 0.03001911 -0.03826299 -0.01621613 ... -0.07842228  0.08424565\n",
      "  -0.01067123]]\n",
      "tensor: TemporalFusionTransformer/dense_11/bias (float32) [320]\n",
      "[ 8.37324373e-03  8.23699957e-05  5.44720236e-03 -4.24103905e-03\n",
      " -5.00605907e-03 -6.99725561e-03  9.69183864e-04  4.87239612e-03\n",
      " -5.47975441e-03 -1.07672745e-02 -8.30522832e-03 -6.11764193e-03\n",
      "  7.33938254e-03 -5.88424644e-03 -7.88846426e-03  7.66978692e-03\n",
      "  7.24882772e-03 -4.18708951e-04  2.40891310e-03  5.99711528e-03\n",
      " -7.30220415e-03 -5.42149460e-03 -7.43886223e-03  8.58602580e-03\n",
      "  4.00657067e-03 -4.25051944e-03  2.79224780e-03 -5.89559972e-03\n",
      "  6.94067776e-03 -4.68549877e-03 -6.18833117e-03 -4.35448252e-03\n",
      " -6.49106130e-03 -6.60668453e-03  6.77126460e-03  6.66717999e-03\n",
      " -2.45222822e-03  6.89327437e-03  4.50776098e-03 -2.45309435e-03\n",
      " -5.37968427e-03 -7.75102619e-03  6.00483175e-03  8.31250940e-03\n",
      " -2.51792651e-03 -2.79976195e-03 -6.86922017e-03  7.17042666e-03\n",
      " -7.33924378e-03  6.67722709e-03  9.19775397e-04 -5.74731873e-03\n",
      "  2.43026204e-03  7.15525309e-03 -7.50589883e-03 -5.20842429e-03\n",
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      "  6.47580950e-03 -5.91415726e-03  1.16171213e-02  4.02194029e-03\n",
      "  2.56295106e-03 -5.20073483e-03 -4.66708047e-03  5.45455562e-03\n",
      " -8.76501016e-03  1.15590426e-03 -3.59269232e-03  5.09705581e-03\n",
      "  5.62337553e-03 -1.33865513e-03  6.58052741e-03  9.21567995e-03\n",
      "  5.51070273e-03  5.80483535e-03 -7.79599603e-03  1.93221460e-03\n",
      "  8.27475358e-03 -6.11777371e-03 -5.45636378e-03  2.44155014e-03\n",
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      "  7.78899342e-03  1.02706151e-02  5.72163006e-03 -1.03892982e-02]\n",
      "tensor: TemporalFusionTransformer/dense_11/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/dense_12/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/dense_12/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/dense_13/bias (float32) [320]\n",
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      " -6.33362262e-03 -1.00228116e-02  1.51914207e-03 -4.89113899e-03]\n",
      "tensor: TemporalFusionTransformer/dense_13/kernel (float32) [320, 320]\n",
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      " [ 0.0514169   0.09002533 -0.080252   ...  0.02028153  0.10094973\n",
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      "tensor: TemporalFusionTransformer/dense_14/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/dense_14/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/dense_15/bias (float32) [320]\n",
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      " -0.0058777  -0.00529177]\n",
      "tensor: TemporalFusionTransformer/dense_15/kernel (float32) [320, 320]\n",
      "[[-0.00835028 -0.06618425  0.00030003 ... -0.09844115 -0.10060243\n",
      "   0.02426916]\n",
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      "   0.02294026]\n",
      " ...\n",
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      " [ 0.07542501 -0.00684438  0.00805628 ...  0.06056933  0.04604534\n",
      "  -0.04262751]]\n",
      "tensor: TemporalFusionTransformer/dense_16/bias (float32) [320]\n",
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      " -4.14274959e-03 -1.68637279e-02  3.91212944e-03 -5.00180060e-03]\n",
      "tensor: TemporalFusionTransformer/dense_16/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/dense_17/bias (float32) [320]\n",
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      " -7.07633235e-03 -6.60995860e-03 -4.46434040e-03 -8.47824011e-03]\n",
      "tensor: TemporalFusionTransformer/dense_17/kernel (float32) [320, 320]\n",
      "[[-0.04872419  0.02550529 -0.01218258 ... -0.09073135 -0.04231887\n",
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      " [ 0.06011311 -0.06088448  0.0733853  ...  0.0743606   0.02660408\n",
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      "tensor: TemporalFusionTransformer/dense_18/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/dense_18/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/dense_19/bias (float32) [320]\n",
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      "  7.6152654e-03  8.3728395e-03  7.4925018e-03 -9.9094091e-03]\n",
      "tensor: TemporalFusionTransformer/dense_19/kernel (float32) [320, 320]\n",
      "[[ 0.07962526 -0.02207688 -0.00744157 ...  0.0617738   0.06857369\n",
      "  -0.03334288]\n",
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      " ...\n",
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      "   0.0031725 ]\n",
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      " [ 0.08496002 -0.0793725   0.01402394 ...  0.0443389   0.01963986\n",
      "  -0.03273994]]\n",
      "tensor: TemporalFusionTransformer/dense_20/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/dense_20/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/dense_21/bias (float32) [320]\n",
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      " -8.50535929e-03  3.21046524e-02 -4.55338368e-03 -1.56649034e-02]\n",
      "tensor: TemporalFusionTransformer/dense_21/kernel (float32) [320, 320]\n",
      "[[ 0.01606597  0.04244052  0.07113624 ...  0.05792806  0.02639418\n",
      "   0.05314955]\n",
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      "   0.05488059]\n",
      " ...\n",
      " [-0.04132152 -0.0744658  -0.00549274 ...  0.11291194 -0.04945922\n",
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      " [ 0.07308774 -0.07175295 -0.02868507 ...  0.07477677  0.04783862\n",
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      " [-0.04757327 -0.04482152  0.02193694 ... -0.02518548  0.08832783\n",
      "  -0.01095336]]\n",
      "tensor: TemporalFusionTransformer/dense_22/bias (float32) [320]\n",
      "[-2.49499013e-03 -7.19891442e-03 -5.77755496e-02  2.03506351e-02\n",
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      " -3.81862819e-02 -2.13873461e-02 -3.66617600e-03 -1.16573442e-02]\n",
      "tensor: TemporalFusionTransformer/dense_22/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/dense_23/bias (float32) [320]\n",
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      " -6.25999598e-03  2.18502735e-03 -4.96572629e-03 -9.11965445e-02]\n",
      "tensor: TemporalFusionTransformer/dense_23/kernel (float32) [320, 320]\n",
      "[[ 9.0205349e-02  6.3959330e-02  7.3271051e-02 ...  1.9525900e-02\n",
      "  -5.5607270e-02 -3.3240572e-02]\n",
      " [ 4.0894803e-02  9.0021165e-03  6.4244392e-05 ...  5.9527341e-02\n",
      "  -1.0738956e-02  1.2433885e-01]\n",
      " [-1.3433130e-01  8.6977370e-02 -4.6774350e-02 ...  2.4940001e-02\n",
      "  -6.9359876e-03  1.7232689e-01]\n",
      " ...\n",
      " [-1.3180346e-02  4.0943604e-02  4.1290641e-02 ... -5.8851652e-02\n",
      "   8.6305581e-02  1.8051416e-01]\n",
      " [-2.1100586e-02 -7.8490958e-02 -8.8830300e-02 ...  4.8471104e-02\n",
      "   2.2187348e-02 -8.3671965e-02]\n",
      " [-1.3963919e-02  7.4548960e-02 -9.1912635e-02 ...  4.7573168e-02\n",
      "  -7.7649854e-02  8.9028060e-02]]\n",
      "tensor: TemporalFusionTransformer/dense_24/bias (float32) [320]\n",
      "[-3.62371793e-03 -1.48780020e-02 -1.16257323e-02  5.97126596e-03\n",
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      " -4.55039041e-03 -5.85399708e-03 -1.09268390e-02  3.03139514e-03]\n",
      "tensor: TemporalFusionTransformer/dense_24/kernel (float32) [320, 320]\n",
      "[[-0.06207891  0.03000393  0.06204615 ... -0.03802073 -0.09514301\n",
      "   0.00925773]\n",
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      " ...\n",
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      " [-0.07219641 -0.0587086   0.11739118 ...  0.0767948   0.12745199\n",
      "  -0.05817618]]\n",
      "tensor: TemporalFusionTransformer/dense_25/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/dense_25/kernel (float32) [320, 320]\n",
      "[[-0.06916232 -0.03465551  0.02909818 ...  0.08649144 -0.03452111\n",
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      " [ 0.0076268  -0.00680562  0.10670473 ...  0.0031671  -0.03068358\n",
      "   0.00658583]]\n",
      "tensor: TemporalFusionTransformer/dense_26/bias (float32) [320]\n",
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      "  4.90047270e-03 -5.37073566e-03 -1.03635676e-02 -8.59316532e-03]\n",
      "tensor: TemporalFusionTransformer/dense_26/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/dense_27/bias (float32) [320]\n",
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      " -4.35141614e-03 -2.51553080e-04  1.33530714e-03  2.84539512e-03]\n",
      "tensor: TemporalFusionTransformer/dense_27/kernel (float32) [320, 320]\n",
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      " ...\n",
      " [-0.05580503  0.05607107  0.05061881 ...  0.02439433  0.01233543\n",
      "  -0.08519071]\n",
      " [-0.00388915 -0.02585344  0.01378731 ...  0.05782754  0.09009556\n",
      "  -0.03498123]\n",
      " [ 0.06815857  0.08137511  0.0299373  ...  0.00305211  0.04017698\n",
      "   0.00245968]]\n",
      "tensor: TemporalFusionTransformer/dense_28/bias (float32) [320]\n",
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      "  0.00763561 -0.00298074 -0.006458   -0.01562544 -0.01189132 -0.00246387\n",
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      "  0.00202    -0.01028563 -0.00412637 -0.00893327 -0.0102026   0.01532378\n",
      " -0.00282418 -0.0067054  -0.01423533 -0.00476853  0.00909647  0.00431868\n",
      "  0.02033877  0.00338257  0.00694434 -0.00676223 -0.01454884  0.00786317\n",
      "  0.0052035  -0.00131627 -0.00795302 -0.00291499  0.00763239  0.00415372\n",
      " -0.00463212  0.01968339 -0.00948565 -0.01315005  0.00223097  0.01413864\n",
      " -0.02442305 -0.008674    0.00684639 -0.00131082 -0.00204229  0.0010988\n",
      "  0.00954424 -0.00837009 -0.01315552 -0.02008302 -0.0326324  -0.00666775\n",
      "  0.00940491 -0.01034295  0.00046838 -0.01419358  0.00360762 -0.00746145\n",
      " -0.0050784   0.00246204  0.00822633 -0.00324085  0.00415834 -0.00186254\n",
      " -0.01392952  0.00120688 -0.00201561  0.00209958 -0.00836057  0.00346158\n",
      "  0.00469125  0.00455897  0.0068607   0.00829542  0.00362669  0.00973339\n",
      "  0.01127858 -0.00155721 -0.01366065  0.01470712  0.0079364  -0.00882585\n",
      "  0.00664012 -0.01006307  0.01028729  0.00024839  0.00673501 -0.00338394\n",
      "  0.01081463 -0.00861742  0.0032364   0.01442675  0.00109897 -0.00191068\n",
      "  0.00207067 -0.0090592 ]\n",
      "tensor: TemporalFusionTransformer/dense_28/kernel (float32) [320, 320]\n",
      "[[-0.06026625  0.02064588  0.13365391 ... -0.10095531 -0.03797657\n",
      "  -0.02266891]\n",
      " [ 0.06071529 -0.00710226 -0.09657875 ... -0.07830968 -0.0691915\n",
      "   0.0634129 ]\n",
      " [ 0.09220707 -0.02084778  0.0352656  ...  0.02487688 -0.04899693\n",
      "   0.08072101]\n",
      " ...\n",
      " [-0.06786139  0.03714212  0.03656871 ...  0.00518799 -0.00584139\n",
      "   0.04028351]\n",
      " [ 0.0754827   0.0231182   0.01596719 ...  0.07227903  0.02108041\n",
      "   0.041895  ]\n",
      " [-0.07980829 -0.08838799 -0.00502131 ... -0.04407039  0.09856097\n",
      "  -0.02436955]]\n",
      "tensor: TemporalFusionTransformer/dense_4/bias (float32) [1]\n",
      "[0.]\n",
      "tensor: TemporalFusionTransformer/dense_4/kernel (float32) [320, 1]\n",
      "[[ 6.82169050e-02]\n",
      " [ 6.09436035e-02]\n",
      " [-1.16654657e-01]\n",
      " [ 1.45470947e-02]\n",
      " [ 3.53420973e-02]\n",
      " [-5.71483672e-02]\n",
      " [ 9.96643603e-02]\n",
      " [-7.87638128e-03]\n",
      " [-2.48809531e-02]\n",
      " [-5.92935085e-02]\n",
      " [-1.35699242e-01]\n",
      " [-5.19947708e-03]\n",
      " [ 2.64434069e-02]\n",
      " [ 1.29503325e-01]\n",
      " [ 2.48523355e-02]\n",
      " [ 6.87040091e-02]\n",
      " [-2.32895240e-02]\n",
      " [-5.90902045e-02]\n",
      " [-1.47736743e-02]\n",
      " [ 1.19958684e-01]\n",
      " [-2.20177248e-02]\n",
      " [ 7.50605762e-03]\n",
      " [-1.22387171e-01]\n",
      " [ 5.35813570e-02]\n",
      " [ 1.15746409e-02]\n",
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      " [ 7.62861967e-03]\n",
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      " [ 1.03988141e-01]\n",
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      " [-9.34120119e-02]\n",
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      " [-6.13429397e-02]\n",
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      " [-5.06438836e-02]\n",
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      "  -0.11643148]]\n",
      "tensor: TemporalFusionTransformer/dense_76/kernel (float32) [320, 80]\n",
      "[[-1.06901050e-01 -6.11386783e-02 -4.94527118e-03 ... -1.20942548e-01\n",
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      "  -1.12051114e-01  6.79367259e-02]\n",
      " ...\n",
      " [ 9.48806480e-02  1.34456642e-02 -9.27427486e-02 ...  5.69529347e-02\n",
      "   8.00902247e-02 -1.01860426e-01]\n",
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      "   1.25495329e-01 -1.53687308e-02]\n",
      " [ 6.98013678e-02 -8.64314884e-02  5.15962206e-02 ...  3.43279354e-02\n",
      "  -1.00735612e-01 -8.52238536e-02]]\n",
      "tensor: TemporalFusionTransformer/dense_77/kernel (float32) [320, 80]\n",
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      "   0.06740483]\n",
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      " [ 0.04300833 -0.03936387 -0.08040006 ...  0.08489076 -0.02913808\n",
      "  -0.07369924]]\n",
      "tensor: TemporalFusionTransformer/dense_78/kernel (float32) [320, 80]\n",
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      "   0.10939424]\n",
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      " [ 0.02492563  0.09242748  0.04343835 ... -0.09324607  0.07282789\n",
      "   0.08346596]]\n",
      "tensor: TemporalFusionTransformer/dense_79/kernel (float32) [320, 80]\n",
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      "  -0.13230939]\n",
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      "   0.00054387]]\n",
      "tensor: TemporalFusionTransformer/dense_8/bias (float32) [1]\n",
      "[0.]\n",
      "tensor: TemporalFusionTransformer/dense_8/kernel (float32) [320, 1]\n",
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      " [ 0.0051568 ]\n",
      " [-0.01245242]\n",
      " [ 0.04025583]\n",
      " [-0.03939702]]\n",
      "tensor: TemporalFusionTransformer/dense_80/kernel (float32) [320, 80]\n",
      "[[-0.09760674  0.01789245  0.04546191 ... -0.07132524 -0.06554686\n",
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      "  -0.06337594]\n",
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      "   0.04954756]]\n",
      "tensor: TemporalFusionTransformer/dense_81/kernel (float32) [80, 320]\n",
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      "  -0.10607509]\n",
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      "tensor: TemporalFusionTransformer/dense_9/bias (float32) [320]\n",
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      " -0.00675006  0.00448853]\n",
      "tensor: TemporalFusionTransformer/dense_9/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/embedding/embeddings (float32) [1, 320]\n",
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      "tensor: TemporalFusionTransformer/embedding_1/embeddings (float32) [1, 320]\n",
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      "  -3.5266738e-02 -4.4530436e-02 -3.0254351e-02 -3.8667578e-02]]\n",
      "tensor: TemporalFusionTransformer/layer_normalization/beta (float32) [1]\n",
      "[0.]\n",
      "tensor: TemporalFusionTransformer/layer_normalization/gamma (float32) [1]\n",
      "[1.]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_1/beta (float32) [320]\n",
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      "  9.77416616e-03  1.19373286e-02  6.09243847e-03 -1.03245415e-02]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_1/gamma (float32) [320]\n",
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      " 1.0043684  0.9934374  1.0104527  0.99828345 1.0144422  1.0208621\n",
      " 0.99396235 0.99241716]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_10/beta (float32) [320]\n",
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      " -0.03394213  0.00856915]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_10/gamma (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/layer_normalization_11/beta (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/layer_normalization_11/gamma (float32) [320]\n",
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      " 0.85870135 0.94810367]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_12/beta (float32) [1]\n",
      "[0.]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_12/gamma (float32) [1]\n",
      "[1.]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_13/beta (float32) [320]\n",
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      " -2.38586310e-03  4.88077989e-03  9.39425488e-04  8.08217376e-03]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_13/gamma (float32) [320]\n",
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      " 0.97754014 0.99141896 0.98958105 0.98576206 0.9998426  0.99464524\n",
      " 0.98864216 0.9996342 ]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_14/beta (float32) [320]\n",
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      " -3.43191624e-03 -1.50158640e-03 -5.97825879e-03 -1.98998326e-03]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_14/gamma (float32) [320]\n",
      "[0.98644066 1.2728692  0.9950945  0.97332454 0.9916217  1.0528022\n",
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      " 0.99477667 1.1365179  0.9803728  1.0003924  0.97483957 1.0255383\n",
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      " 1.0280706  1.0323656  0.968051   0.9678899  0.9956091  0.99947375\n",
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      " 1.0148978  0.98156834 0.97975874 0.9868091  1.0176952  0.99871916\n",
      " 0.96176815 1.0003047 ]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_15/beta (float32) [320]\n",
      "[ 4.94582439e-03 -4.20411769e-03  9.05102491e-03  5.37587609e-03\n",
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      " -2.02288153e-03 -2.02775397e-03  6.18447084e-03 -1.91662030e-03]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_15/gamma (float32) [320]\n",
      "[0.9875625  0.9944158  0.99450636 0.9909928  1.001492   1.0085964\n",
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      " 1.003011   0.99069875 1.0072235  1.0184753  0.9992297  1.0044348\n",
      " 1.000145   1.0009832 ]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_16/beta (float32) [320]\n",
      "[ 4.21405258e-03 -7.55330175e-03  1.12012029e-02  6.75502280e-03\n",
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      "  3.96018988e-03 -1.02292324e-05  3.18944338e-03  1.96364359e-04]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_16/gamma (float32) [320]\n",
      "[0.9875601  0.994123   1.0040349  1.0053658  1.0000056  1.0067939\n",
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      " 1.0039974  0.9927934  1.0021812  1.0121557  0.99825174 1.0051919\n",
      " 0.9884264  0.9981944 ]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_17/beta (float32) [320]\n",
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      "  4.89043258e-03  1.30081903e-02  2.33173184e-02  3.70207289e-03]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_17/gamma (float32) [320]\n",
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      " 1.0010954  0.9887355  0.99543744 1.0073372  0.9944353  1.0134892\n",
      " 0.98257416 0.9982322 ]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_18/beta (float32) [320]\n",
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      "  3.39556078e-04  7.39004416e-03 -2.46908749e-03  1.47618831e-03]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_18/gamma (float32) [320]\n",
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      " 0.9721351  0.987224  ]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_2/beta (float32) [320]\n",
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      "  1.52151519e-02 -2.73951944e-02 -9.87895112e-03 -1.56266857e-02]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_2/gamma (float32) [320]\n",
      "[0.978225   0.9975791  0.92985094 0.91660863 0.982481   0.9703854\n",
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      " 0.9348783  0.93258375 0.9485241  0.928433   0.95380133 0.98995113\n",
      " 1.00535    0.9639934 ]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_3/beta (float32) [320]\n",
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      "  8.40079971e-03  9.17922799e-03  7.66159315e-03 -9.67914890e-03]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_3/gamma (float32) [320]\n",
      "[1.0049564  1.004934   0.9916947  1.0011796  0.9921199  0.9934536\n",
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      " 1.0044802  0.99431837 0.99741447 0.99141985 0.9940584  0.9916461\n",
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      " 1.000987   0.99536085 1.009113   0.99974835 1.0101731  1.010584\n",
      " 0.9930867  0.99458206]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_4/beta (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/layer_normalization_5/beta (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/layer_normalization_5/gamma (float32) [320]\n",
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      " 1.0909235  1.0400001  0.9226183  1.0780991  0.97900987 0.8389721\n",
      " 0.98605657 0.9864398 ]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_6/beta (float32) [5]\n",
      "[ 0.02070871  0.16551417  0.05846432 -0.22956735  0.00764846]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_6/gamma (float32) [5]\n",
      "[1.0753455  0.566976   1.0693563  0.79035085 1.0627989 ]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_7/beta (float32) [320]\n",
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      "  1.25440871e-02  5.26773930e-02 -1.39056416e-02 -3.28137875e-02]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_7/gamma (float32) [320]\n",
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      " 0.8530721  0.9518217 ]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_8/beta (float32) [320]\n",
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      "  9.23433807e-03 -1.67328384e-04  6.45683194e-03  5.93548501e-03]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_8/gamma (float32) [320]\n",
      "[0.9888963  0.99550813 1.1489488  1.2017235  0.9379646  1.2829993\n",
      " 0.91347617 1.0835786  0.9818694  1.0234383  0.9272397  1.230292\n",
      " 1.0102586  1.0443647  0.8965072  1.0757626  0.9849223  1.268307\n",
      " 0.98454326 0.8980209  1.0934733  1.260061   0.9390068  1.1374071\n",
      " 1.0261427  0.9710802  0.99415815 1.0568633  1.0893166  0.9468309\n",
      " 0.955269   1.1044892  1.0672295  0.90879333 0.9940797  1.0834183\n",
      " 1.0355095  1.0800602  1.0016705  1.0239465  0.96517336 1.0579325\n",
      " 0.99777883 1.0083209  0.979946   1.1416649  1.2470775  1.0891548\n",
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      " 1.0830163  1.0381753  1.0106409  1.0062038  1.0311972  1.0885947\n",
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      " 1.0992062  1.072616   1.091202   1.0442408  1.0535368  0.9911869\n",
      " 1.0351768  1.0367038  0.99259937 0.9357099  1.0392978  0.89630544\n",
      " 0.9610097  1.0141968  1.22375    0.9706261  1.0148157  0.9891136\n",
      " 1.1493626  1.0596563  1.0016915  0.94548106 0.99715185 1.0215613\n",
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      " 1.0113001  1.0332719  0.9492296  0.96484745 0.9987789  1.05541\n",
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      " 1.20439    1.0578496  1.0102704  0.87503093 0.99633104 0.92776364\n",
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      " 0.9712554  0.9905705  1.0185289  1.0500672  1.0811247  0.99179035\n",
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      " 0.9890854  0.9744208  0.99670434 1.0594814  1.0347129  1.0435567\n",
      " 0.9920847  0.984294   1.0440694  0.9596028  0.9410775  1.0918252\n",
      " 0.96897745 1.2198757  1.1609206  1.0226831  0.9722228  0.97652227\n",
      " 1.1645311  1.0264621  1.0825064  0.9235463  0.9095314  1.0695196\n",
      " 1.0828875  1.1283247  1.028471   1.0166867  0.9314764  1.0723102\n",
      " 1.029322   1.0000771  1.0994513  1.1211338  1.2015661  0.96201676\n",
      " 1.084798   1.0812553  1.2006527  1.0339853  1.0061442  1.171365\n",
      " 1.0496668  1.0232127  1.0367618  1.003455   1.0094203  0.9910232\n",
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      " 1.032287   0.92371255 1.2752318  0.93092144 0.94656545 0.9839234\n",
      " 0.9566319  0.9699632  1.0660083  0.97115034 0.9881197  1.0609182\n",
      " 0.89809865 0.9823498 ]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_9/beta (float32) [320]\n",
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      "  0.00913102  0.04425936]\n",
      "tensor: TemporalFusionTransformer/layer_normalization_9/gamma (float32) [320]\n",
      "[0.8956937  0.85971856 0.90054643 0.9983442  1.0341375  0.960046\n",
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      " 0.8779883  0.85752213 1.0793803  1.1719273  1.0197353  0.9454572\n",
      " 0.86255187 1.0095007  0.93231976 1.1559237  0.8600328  1.1089803\n",
      " 1.1236889  0.8827494  0.9010885  0.9416432  0.9430921  1.0437196\n",
      " 0.89568365 1.0855001  1.048671   0.8736284  0.82088375 0.87064576\n",
      " 1.0008745  1.244317   1.1912751  1.0767831  1.0729492  1.0232829\n",
      " 1.1957531  0.99165416 0.9516371  0.95487505 0.96501803 1.0247127\n",
      " 1.0775785  0.84941155 0.8199113  0.998825   0.98774505 0.7862141\n",
      " 1.0229502  0.85724205 1.0612826  0.8175008  1.0508852  0.9009826\n",
      " 0.9508187  0.95314825 0.97445136 1.0350412  0.99966997 1.0282992\n",
      " 0.9606462  0.8824421  1.0642196  1.0477614  0.9249364  1.0645586\n",
      " 0.77101934 0.99437547 0.9208241  0.93343514 0.8336093  0.905486\n",
      " 1.1844243  0.9424097  0.7969677  0.9688024  1.0972285  0.8226498\n",
      " 1.1148919  1.0624182 ]\n",
      "tensor: TemporalFusionTransformer/lstm/lstm_cell/bias (float32) [1280]\n",
      "[ 0.05884114  0.00426415  0.00747129 ...  0.04784408 -0.08241642\n",
      "  0.00637164]\n",
      "tensor: TemporalFusionTransformer/lstm/lstm_cell/kernel (float32) [320, 1280]\n",
      "[[ 0.00241049 -0.10445198  0.09363884 ...  0.07790091  0.01842391\n",
      "  -0.01434134]\n",
      " [ 0.04057911 -0.02075061  0.02193593 ...  0.04356571 -0.0216888\n",
      "   0.08120563]\n",
      " [ 0.00533173 -0.02512484 -0.056911   ...  0.12699954 -0.0392199\n",
      "  -0.14723352]\n",
      " ...\n",
      " [ 0.00857502  0.05107766 -0.15822792 ...  0.0366962  -0.02570363\n",
      "  -0.1113297 ]\n",
      " [ 0.14335375  0.00155173 -0.03327347 ... -0.02220367 -0.15632139\n",
      "   0.01946655]\n",
      " [ 0.06389292  0.04874368  0.05169245 ... -0.1340213  -0.07247362\n",
      "   0.02369206]]\n",
      "tensor: TemporalFusionTransformer/lstm/lstm_cell/recurrent_kernel (float32) [320, 1280]\n",
      "[[-4.0045315e-03 -2.3092184e-02  3.8658559e-02 ... -1.4863680e-01\n",
      "  -5.4677270e-02  6.4427074e-04]\n",
      " [-7.2196215e-02  6.0543247e-02 -7.7485986e-02 ...  4.4056259e-02\n",
      "   1.0317603e-01  7.0225991e-02]\n",
      " [-3.9982051e-04  3.7002005e-02  2.5940582e-01 ... -9.3742162e-03\n",
      "  -8.2917221e-02 -8.7790027e-02]\n",
      " ...\n",
      " [-5.6833103e-03 -1.5611838e-01  1.2096174e-01 ... -1.2398638e-01\n",
      "   5.6741841e-02  2.2037832e-02]\n",
      " [ 1.3573373e-02  1.8368464e-02 -1.9616896e-02 ... -2.4620282e-02\n",
      "  -7.3462635e-02 -2.7300261e-02]\n",
      " [ 5.5548240e-05 -8.9473598e-02 -1.6551320e-01 ...  8.4435776e-02\n",
      "   4.1392725e-02  1.5710776e-01]]\n",
      "tensor: TemporalFusionTransformer/lstm_1/lstm_cell_1/bias (float32) [1280]\n",
      "[-0.0040749  -0.00442187  0.00679545 ...  0.00646989 -0.01175191\n",
      "  0.00725409]\n",
      "tensor: TemporalFusionTransformer/lstm_1/lstm_cell_1/kernel (float32) [320, 1280]\n",
      "[[ 0.05298183  0.03693223 -0.06086173 ...  0.0573024   0.03365794\n",
      "  -0.00654343]\n",
      " [ 0.04951226 -0.00923721 -0.05677222 ... -0.02782691  0.00408786\n",
      "  -0.04885725]\n",
      " [-0.02960647  0.01832376 -0.03522907 ...  0.00282859 -0.04940592\n",
      "  -0.00464742]\n",
      " ...\n",
      " [ 0.02594199  0.01173736 -0.03542963 ... -0.0326945  -0.03427602\n",
      "  -0.02204204]\n",
      " [-0.04359224  0.03863307  0.01260773 ...  0.01201288 -0.02330353\n",
      "  -0.00631882]\n",
      " [ 0.01008241 -0.03830839 -0.04293245 ...  0.04587488  0.00266548\n",
      "   0.04937421]]\n",
      "tensor: TemporalFusionTransformer/lstm_1/lstm_cell_1/recurrent_kernel (float32) [320, 1280]\n",
      "[[-0.01656457  0.0308501  -0.00592601 ...  0.02760436 -0.04070604\n",
      "  -0.00746382]\n",
      " [ 0.01097595 -0.03697402  0.01061802 ... -0.11233664 -0.09433147\n",
      "   0.00147195]\n",
      " [ 0.01705769 -0.05785374  0.00364943 ...  0.04798766  0.00786404\n",
      "   0.01204915]\n",
      " ...\n",
      " [-0.05150705  0.02384225 -0.02881509 ...  0.01830529  0.13733706\n",
      "   0.02306469]\n",
      " [ 0.04279186  0.01917535 -0.0081358  ...  0.00592734  0.0248517\n",
      "   0.00304226]\n",
      " [-0.0113099  -0.08721164  0.01332102 ...  0.04186723 -0.04651836\n",
      "   0.02428993]]\n",
      "tensor: TemporalFusionTransformer/time_distributed/bias (float32) [320]\n",
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      " -1.27345501e-02 -4.04260820e-03  2.60301493e-03 -3.60560347e-03]\n",
      "tensor: TemporalFusionTransformer/time_distributed/kernel (float32) [1, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_1/kernel (float32) [1, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_10/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_10/kernel (float32) [320, 320]\n",
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      " ...\n",
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      "   5.21717072e-02 -5.92391565e-02]]\n",
      "tensor: TemporalFusionTransformer/time_distributed_11/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_11/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_12/kernel (float32) [320, 320]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor: TemporalFusionTransformer/time_distributed_13/kernel (float32) [320, 320]\n",
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      " ...\n",
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      "tensor: TemporalFusionTransformer/time_distributed_14/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_14/kernel (float32) [320, 320]\n",
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      " ...\n",
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      "tensor: TemporalFusionTransformer/time_distributed_15/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_15/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_16/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_16/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_17/kernel (float32) [320, 320]\n",
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      "  5.57935834e-02  2.06718734e-03  5.06644174e-02 -2.75120896e-04]\n",
      "tensor: TemporalFusionTransformer/time_distributed_19/kernel (float32) [320, 320]\n",
      "[[ 0.05639114 -0.07405804  0.0830838  ...  0.03350938  0.07258389\n",
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      "tensor: TemporalFusionTransformer/time_distributed_2/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_2/kernel (float32) [1, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_20/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_22/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_23/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_24/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_26/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_27/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_3/kernel (float32) [1, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_30/bias (float32) [1]\n",
      "[0.]\n",
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      " [-6.87870979e-02]\n",
      " [ 3.60173136e-02]\n",
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      " [ 9.27060843e-04]\n",
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      " [-1.02942735e-02]\n",
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      " [ 1.11408249e-01]\n",
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      " [ 3.20320725e-02]\n",
      " [-2.33128294e-02]\n",
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      " [ 1.14968345e-01]\n",
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      " [ 1.30480036e-01]\n",
      " [ 1.56469792e-02]\n",
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      " [-5.94624802e-02]\n",
      " [ 4.46195900e-03]\n",
      " [ 1.28222629e-01]\n",
      " [-7.28672892e-02]\n",
      " [ 1.29004791e-01]\n",
      " [ 6.77435100e-03]\n",
      " [ 9.03094709e-02]\n",
      " [-8.85589719e-02]\n",
      " [ 7.56060630e-02]\n",
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      " [ 1.02077305e-01]\n",
      " [-1.17650464e-01]\n",
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      " [ 5.26739657e-02]\n",
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      " [ 6.62902147e-02]\n",
      " [ 1.21583834e-01]\n",
      " [-1.15715176e-01]\n",
      " [ 2.28151828e-02]\n",
      " [-5.74805215e-02]\n",
      " [ 5.73085696e-02]\n",
      " [-5.84887117e-02]\n",
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      " [ 7.41547346e-02]\n",
      " [ 1.91661119e-02]\n",
      " [-6.84791952e-02]\n",
      " [-1.02424353e-01]\n",
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      " [-9.01749730e-03]\n",
      " [ 2.05431134e-02]\n",
      " [ 3.97716761e-02]\n",
      " [-6.30749241e-02]\n",
      " [ 3.95029783e-05]\n",
      " [-9.19098929e-02]\n",
      " [ 5.16349673e-02]\n",
      " [ 7.44562149e-02]\n",
      " [ 1.19389743e-02]\n",
      " [-8.57355446e-02]\n",
      " [-6.97611943e-02]\n",
      " [-6.07837886e-02]\n",
      " [ 5.47724813e-02]\n",
      " [ 1.01777554e-01]\n",
      " [-8.56466889e-02]\n",
      " [ 1.09686896e-01]\n",
      " [ 9.41700339e-02]\n",
      " [ 1.11211330e-01]\n",
      " [ 5.35453409e-02]\n",
      " [-1.12250790e-01]\n",
      " [-2.07390860e-02]\n",
      " [ 1.31027654e-01]\n",
      " [-4.61098552e-03]\n",
      " [ 9.06976759e-02]\n",
      " [-3.44489962e-02]\n",
      " [ 1.48687214e-02]\n",
      " [ 2.59527713e-02]\n",
      " [-2.68488675e-02]\n",
      " [ 1.05529711e-01]\n",
      " [ 5.81982434e-02]\n",
      " [-1.32934853e-01]\n",
      " [-1.54729858e-02]\n",
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      " [ 1.30160019e-01]\n",
      " [-1.13450378e-01]\n",
      " [ 2.04217285e-02]\n",
      " [-3.33192497e-02]\n",
      " [ 5.62296212e-02]\n",
      " [ 1.29141703e-01]\n",
      " [-3.23951915e-02]\n",
      " [ 3.88982147e-02]\n",
      " [ 3.76009941e-02]\n",
      " [-7.68614337e-02]\n",
      " [ 7.25304782e-02]\n",
      " [ 7.21810758e-03]\n",
      " [ 5.40592521e-02]\n",
      " [ 2.59275436e-02]\n",
      " [-5.98861650e-02]\n",
      " [ 1.34708881e-02]\n",
      " [ 3.83417308e-02]\n",
      " [ 1.52356923e-03]\n",
      " [-1.11706793e-01]\n",
      " [-1.24113292e-01]\n",
      " [ 8.24442953e-02]\n",
      " [-1.17002361e-01]\n",
      " [-4.75658849e-02]\n",
      " [ 1.29712388e-01]\n",
      " [ 8.00931156e-02]\n",
      " [ 1.33207142e-02]\n",
      " [ 1.08240411e-01]\n",
      " [ 4.49054390e-02]\n",
      " [-3.92189547e-02]\n",
      " [ 3.61473113e-02]\n",
      " [-2.45447904e-02]\n",
      " [ 5.74284345e-02]\n",
      " [-1.46387294e-02]\n",
      " [ 8.61956030e-02]\n",
      " [-3.53925154e-02]\n",
      " [ 5.39050996e-02]\n",
      " [ 1.12198442e-02]\n",
      " [-9.88828391e-02]\n",
      " [-1.23529598e-01]\n",
      " [-4.24356759e-03]\n",
      " [-7.73425177e-02]\n",
      " [-6.45081326e-02]\n",
      " [-6.39114678e-02]\n",
      " [-1.26016557e-01]\n",
      " [ 6.68395609e-02]\n",
      " [-5.85479066e-02]\n",
      " [ 1.84486359e-02]\n",
      " [-1.29917085e-01]\n",
      " [ 1.14383265e-01]\n",
      " [ 1.32755056e-01]\n",
      " [ 1.29427686e-01]\n",
      " [-7.17484355e-02]\n",
      " [-4.46885452e-02]\n",
      " [-8.72422904e-02]\n",
      " [ 5.67673147e-02]\n",
      " [ 8.16266239e-02]\n",
      " [-4.23365906e-02]\n",
      " [ 1.09247789e-01]\n",
      " [-1.03928953e-01]\n",
      " [-6.45105541e-03]\n",
      " [ 1.14034310e-01]\n",
      " [-7.23087266e-02]\n",
      " [ 1.21501610e-01]\n",
      " [-2.04915553e-02]\n",
      " [ 1.15239069e-01]\n",
      " [ 1.23105690e-01]\n",
      " [ 1.25989184e-01]\n",
      " [ 5.12092263e-02]\n",
      " [ 1.15879774e-02]\n",
      " [-1.33824363e-01]\n",
      " [ 1.27368048e-01]\n",
      " [ 2.28318721e-02]\n",
      " [-1.29764378e-02]\n",
      " [ 5.08110970e-02]\n",
      " [-4.24713716e-02]\n",
      " [ 3.92107069e-02]\n",
      " [-1.10201873e-01]\n",
      " [ 5.81173748e-02]\n",
      " [-9.25152972e-02]\n",
      " [ 1.31288216e-01]\n",
      " [ 1.07615739e-01]\n",
      " [-3.74534577e-02]\n",
      " [-1.21966004e-01]\n",
      " [-1.16098121e-01]\n",
      " [ 1.00448236e-01]\n",
      " [-1.01735249e-01]\n",
      " [ 2.06627101e-02]\n",
      " [ 8.19248110e-02]\n",
      " [ 2.00762153e-02]\n",
      " [ 4.34416533e-02]\n",
      " [-7.74160177e-02]\n",
      " [ 2.06535906e-02]\n",
      " [ 8.58046114e-02]\n",
      " [ 7.23290741e-02]\n",
      " [-8.50704163e-02]\n",
      " [ 2.31091380e-02]\n",
      " [ 7.60943592e-02]\n",
      " [-1.91463828e-02]\n",
      " [-1.05039366e-01]\n",
      " [-6.67399094e-02]\n",
      " [ 4.74973321e-02]\n",
      " [-3.86226401e-02]\n",
      " [ 9.83704329e-02]\n",
      " [ 4.36031073e-02]\n",
      " [-5.69429174e-02]\n",
      " [ 1.16484031e-01]\n",
      " [ 7.31392354e-02]\n",
      " [ 1.11644670e-01]\n",
      " [ 8.49747509e-02]\n",
      " [-1.21824667e-01]\n",
      " [-1.20252371e-05]\n",
      " [-1.17950380e-01]\n",
      " [-8.82825553e-02]\n",
      " [ 1.64514780e-03]\n",
      " [-9.18428451e-02]\n",
      " [-7.30314478e-02]\n",
      " [-1.09310046e-01]\n",
      " [-6.68753833e-02]\n",
      " [-1.31823003e-01]\n",
      " [ 3.38452160e-02]\n",
      " [ 2.55414844e-03]\n",
      " [-1.26109049e-02]\n",
      " [-1.22302473e-02]\n",
      " [ 4.30051237e-02]\n",
      " [ 2.67007202e-02]\n",
      " [-4.84979972e-02]\n",
      " [-1.05891518e-01]\n",
      " [-8.57765451e-02]\n",
      " [-4.52897102e-02]\n",
      " [ 9.04482901e-02]\n",
      " [-7.73087814e-02]\n",
      " [ 1.35898158e-01]\n",
      " [-2.23382115e-02]\n",
      " [-1.35641918e-01]\n",
      " [ 1.35267183e-01]\n",
      " [-1.16553605e-02]\n",
      " [-8.20488483e-02]\n",
      " [ 4.01197672e-02]\n",
      " [ 3.87726426e-02]\n",
      " [ 5.44465184e-02]\n",
      " [-2.56496966e-02]\n",
      " [ 1.13308206e-01]]\n",
      "tensor: TemporalFusionTransformer/time_distributed_35/bias (float32) [1]\n",
      "[0.]\n",
      "tensor: TemporalFusionTransformer/time_distributed_35/kernel (float32) [320, 1]\n",
      "[[ 0.0583273 ]\n",
      " [-0.10536888]\n",
      " [-0.12994741]\n",
      " [ 0.00391813]\n",
      " [-0.03687771]\n",
      " [-0.07253866]\n",
      " [ 0.11281343]\n",
      " [ 0.1217313 ]\n",
      " [-0.04391394]\n",
      " [-0.04332718]\n",
      " [ 0.02230623]\n",
      " [-0.11100718]\n",
      " [ 0.10224964]\n",
      " [-0.01656111]\n",
      " [ 0.09964611]\n",
      " [-0.09199983]\n",
      " [-0.05047699]\n",
      " [-0.105642  ]\n",
      " [-0.00310515]\n",
      " [ 0.08646615]\n",
      " [ 0.12429734]\n",
      " [ 0.13060598]\n",
      " [ 0.10634014]\n",
      " [ 0.12666164]\n",
      " [ 0.01644626]\n",
      " [-0.04318275]\n",
      " [ 0.02694874]\n",
      " [ 0.10869294]\n",
      " [ 0.07566507]\n",
      " [-0.08835515]\n",
      " [-0.00882022]\n",
      " [ 0.04704601]\n",
      " [ 0.04227391]\n",
      " [ 0.11954729]\n",
      " [-0.08201726]\n",
      " [-0.09823881]\n",
      " [-0.05665917]\n",
      " [ 0.0236396 ]\n",
      " [ 0.06991328]\n",
      " [ 0.11319484]\n",
      " [ 0.01553951]\n",
      " [-0.00138657]\n",
      " [-0.10247955]\n",
      " [ 0.05304457]\n",
      " [-0.09026501]\n",
      " [ 0.02194417]\n",
      " [-0.04932316]\n",
      " [ 0.05116741]\n",
      " [ 0.07872488]\n",
      " [-0.00330476]\n",
      " [-0.09465645]\n",
      " [-0.01885537]\n",
      " [-0.11309896]\n",
      " [-0.07239566]\n",
      " [-0.0562467 ]\n",
      " [-0.058856  ]\n",
      " [ 0.08547837]\n",
      " [-0.07877276]\n",
      " [ 0.00195508]\n",
      " [ 0.03370997]\n",
      " [ 0.06323513]\n",
      " [-0.06750732]\n",
      " [ 0.12015553]\n",
      " [ 0.02586474]\n",
      " [ 0.01625855]\n",
      " [-0.11810348]\n",
      " [ 0.04038624]\n",
      " [-0.10064886]\n",
      " [-0.12402978]\n",
      " [-0.00959496]\n",
      " [ 0.13385628]\n",
      " [-0.02233824]\n",
      " [-0.00851275]\n",
      " [ 0.05016814]\n",
      " [ 0.04256169]\n",
      " [-0.06759308]\n",
      " [-0.02087303]\n",
      " [-0.09926963]\n",
      " [-0.01666792]\n",
      " [ 0.13223727]\n",
      " [-0.03186235]\n",
      " [-0.05514916]\n",
      " [-0.12618007]\n",
      " [ 0.07837613]\n",
      " [ 0.07374559]\n",
      " [-0.12242775]\n",
      " [-0.03334849]\n",
      " [-0.0919188 ]\n",
      " [-0.07399889]\n",
      " [-0.07794206]\n",
      " [-0.1003139 ]\n",
      " [ 0.07244074]\n",
      " [ 0.03788953]\n",
      " [-0.09784874]\n",
      " [-0.09291923]\n",
      " [ 0.02745658]\n",
      " [-0.09380303]\n",
      " [-0.07379308]\n",
      " [-0.11035263]\n",
      " [-0.08105747]\n",
      " [-0.019641  ]\n",
      " [ 0.09428464]\n",
      " [-0.00395301]\n",
      " [ 0.05056907]\n",
      " [-0.05021209]\n",
      " [-0.05713924]\n",
      " [-0.08420373]\n",
      " [ 0.08734471]\n",
      " [ 0.12763591]\n",
      " [ 0.07349555]\n",
      " [-0.12730052]\n",
      " [ 0.04696895]\n",
      " [ 0.09217167]\n",
      " [ 0.09055759]\n",
      " [ 0.07278985]\n",
      " [ 0.10917445]\n",
      " [ 0.12452762]\n",
      " [ 0.13659512]\n",
      " [-0.12084411]\n",
      " [-0.10778081]\n",
      " [-0.10802209]\n",
      " [-0.09789678]\n",
      " [-0.04710364]\n",
      " [ 0.07602023]\n",
      " [ 0.11333989]\n",
      " [ 0.06180362]\n",
      " [ 0.00720572]\n",
      " [ 0.05174625]\n",
      " [ 0.03480028]\n",
      " [-0.13090171]\n",
      " [-0.08064256]\n",
      " [-0.10677506]\n",
      " [-0.00114608]\n",
      " [-0.09097458]\n",
      " [ 0.02514377]\n",
      " [-0.1254526 ]\n",
      " [ 0.12097521]\n",
      " [ 0.04483242]\n",
      " [-0.10265514]\n",
      " [-0.09691816]\n",
      " [-0.04446536]\n",
      " [ 0.00047378]\n",
      " [ 0.06250857]\n",
      " [-0.06903473]\n",
      " [ 0.00724317]\n",
      " [ 0.02472593]\n",
      " [-0.02445349]\n",
      " [-0.12047663]\n",
      " [-0.01022254]\n",
      " [-0.06377079]\n",
      " [ 0.06887622]\n",
      " [ 0.08353704]\n",
      " [ 0.13642682]\n",
      " [ 0.13126583]\n",
      " [-0.01635924]\n",
      " [-0.07942298]\n",
      " [ 0.10963872]\n",
      " [ 0.04611097]\n",
      " [-0.12464568]\n",
      " [-0.0380969 ]\n",
      " [ 0.09467305]\n",
      " [ 0.03373028]\n",
      " [ 0.12417088]\n",
      " [ 0.01420811]\n",
      " [ 0.10507715]\n",
      " [-0.00701562]\n",
      " [-0.08268854]\n",
      " [-0.07782461]\n",
      " [ 0.03931573]\n",
      " [ 0.08759958]\n",
      " [-0.13042542]\n",
      " [ 0.01601991]\n",
      " [ 0.03835642]\n",
      " [-0.03827481]\n",
      " [ 0.13316081]\n",
      " [ 0.08443075]\n",
      " [ 0.02854532]\n",
      " [ 0.0662335 ]\n",
      " [ 0.06722413]\n",
      " [ 0.04107252]\n",
      " [ 0.01130791]\n",
      " [ 0.13292612]\n",
      " [-0.0713288 ]\n",
      " [-0.13062839]\n",
      " [-0.09564225]\n",
      " [ 0.13265206]\n",
      " [-0.13208283]\n",
      " [-0.04651379]\n",
      " [ 0.05696674]\n",
      " [-0.12202591]\n",
      " [ 0.02691849]\n",
      " [ 0.10871474]\n",
      " [-0.07994647]\n",
      " [ 0.10034701]\n",
      " [ 0.04090324]\n",
      " [-0.0882407 ]\n",
      " [ 0.13300763]\n",
      " [ 0.03812584]\n",
      " [-0.06329305]\n",
      " [ 0.1229984 ]\n",
      " [-0.05853719]\n",
      " [ 0.0597696 ]\n",
      " [-0.11998648]\n",
      " [-0.01654506]\n",
      " [-0.09074472]\n",
      " [ 0.08400001]\n",
      " [-0.04334142]\n",
      " [-0.08480877]\n",
      " [-0.00385809]\n",
      " [-0.10599703]\n",
      " [-0.11726978]\n",
      " [ 0.0664752 ]\n",
      " [-0.07025991]\n",
      " [ 0.04742491]\n",
      " [ 0.02358879]\n",
      " [ 0.08215706]\n",
      " [-0.04054599]\n",
      " [ 0.09273867]\n",
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      " [-0.02325895]\n",
      " [ 0.10658585]\n",
      " [ 0.02908611]\n",
      " [ 0.08404338]\n",
      " [ 0.01153941]\n",
      " [-0.04802373]\n",
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      " [-0.01304922]\n",
      " [ 0.08948845]\n",
      " [ 0.00596945]\n",
      " [-0.04646401]\n",
      " [ 0.03955095]\n",
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      " [ 0.02994485]\n",
      " [ 0.1063458 ]\n",
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      " [-0.0976545 ]\n",
      " [-0.12048269]\n",
      " [ 0.10929994]\n",
      " [ 0.03383332]\n",
      " [-0.00814161]\n",
      " [ 0.12869538]\n",
      " [ 0.13266437]\n",
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      " [-0.04785798]\n",
      " [ 0.05732064]\n",
      " [-0.01519103]\n",
      " [-0.06477311]\n",
      " [ 0.03494422]\n",
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      " [ 0.03557757]\n",
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      " [ 0.04268673]\n",
      " [ 0.06857033]\n",
      " [ 0.01457562]\n",
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      " [ 0.00998236]\n",
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      " [ 0.04396443]\n",
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      " [ 0.05790456]\n",
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      " [ 0.10708271]\n",
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      " [ 0.09724467]\n",
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      " [-0.01375522]\n",
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      " [-0.0846414 ]\n",
      " [ 0.03463261]\n",
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      " [ 0.0240595 ]\n",
      " [ 0.10839534]\n",
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      " [ 0.02856462]\n",
      " [-0.1241833 ]\n",
      " [ 0.08830883]\n",
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      " [ 0.12795009]\n",
      " [ 0.1172509 ]\n",
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      " [ 0.07322092]\n",
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      " [ 0.04731692]\n",
      " [-0.00753139]\n",
      " [ 0.01350139]\n",
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      " [ 0.11862944]\n",
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      " [ 0.0940637 ]\n",
      " [ 0.08281465]\n",
      " [ 0.10506254]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_36/kernel (float32) [320, 320]\n",
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      " -5.6462842e-03 -5.3803888e-03 -5.8258190e-03 -2.1777130e-03]\n",
      "tensor: TemporalFusionTransformer/time_distributed_38/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_40/kernel (float32) [320, 320]\n",
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      " ...\n",
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      "   2.5782054e-02 -4.1852817e-02]]\n",
      "tensor: TemporalFusionTransformer/time_distributed_41/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_41/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_42/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_45/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_47/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_48/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_49/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_5/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_5/kernel (float32) [1600, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_50/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_51/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_51/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_52/kernel (float32) [320, 320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_53/bias (float32) [320]\n",
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      "tensor: TemporalFusionTransformer/time_distributed_53/kernel (float32) [320, 320]\n",
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      "  0.01270952 -0.00688092 -0.02421848 -0.00817688 -0.01395468 -0.01876869\n",
      " -0.01427187 -0.01480811 -0.00592036  0.02173634  0.01249932 -0.01688169\n",
      " -0.01728587  0.01628108 -0.01881053 -0.01719267 -0.00849171 -0.01424628\n",
      " -0.01525616 -0.01388456 -0.01214328 -0.00956092 -0.01549157 -0.02015704\n",
      " -0.02109579 -0.02457946 -0.01822408  0.01937868 -0.01652453  0.00860901\n",
      " -0.01805325 -0.01311271 -0.0139433  -0.01551799 -0.0142331  -0.00968262\n",
      " -0.00457856 -0.00896589]\n",
      "tensor: TemporalFusionTransformer/time_distributed_54/kernel (float32) [320, 320]\n",
      "[[-0.00573375  0.05359209  0.05652596 ... -0.04527738  0.00033208\n",
      "   0.06881268]\n",
      " [-0.06841109  0.00931896  0.05274025 ... -0.07714319  0.04160652\n",
      "   0.03189256]\n",
      " [ 0.02242765  0.04236928  0.03894882 ...  0.02619566 -0.09822638\n",
      "  -0.08022536]\n",
      " ...\n",
      " [ 0.08162326  0.03813156 -0.03422272 ... -0.02686444 -0.08325791\n",
      "   0.01772151]\n",
      " [ 0.08216804 -0.04779797  0.07527162 ... -0.05973147  0.00741622\n",
      "  -0.00101098]\n",
      " [ 0.06151729  0.01748403 -0.0477974  ...  0.04931103 -0.02115955\n",
      "  -0.03203893]]\n",
      "tensor: TemporalFusionTransformer/time_distributed_55/bias (float32) [3]\n",
      "[-0.0013905  -0.00227444 -0.00012946]\n",
      "tensor: TemporalFusionTransformer/time_distributed_55/kernel (float32) [320, 3]\n",
      "[[-9.12476256e-02  2.27865819e-02 -3.69102880e-02]\n",
      " [-6.00389950e-03  5.50713111e-03  3.27663645e-02]\n",
      " [ 4.33287099e-02  6.82663471e-02  6.64939284e-02]\n",
      " [ 5.92102595e-02 -9.66468155e-02 -2.43665483e-02]\n",
      " [-4.78570387e-02  5.23086675e-02  6.81265593e-02]\n",
      " [-3.76552269e-02  1.60244443e-02 -1.00017455e-03]\n",
      " [-4.93582478e-03  4.66860943e-02 -6.77585006e-02]\n",
      " [-5.64114489e-02 -8.83677080e-02 -1.69022996e-02]\n",
      " [ 7.26205930e-02  8.43149200e-02  6.48512691e-02]\n",
      " [ 9.25695300e-02  1.17046438e-01  1.49237260e-01]\n",
      " [-1.66023597e-02  1.10075109e-01 -9.15130004e-02]\n",
      " [ 1.79144163e-02  1.00411147e-01  8.09352323e-02]\n",
      " [-8.35906044e-02  5.96205294e-02  1.06865436e-01]\n",
      " [-6.43903762e-02  1.06147103e-01  2.71065291e-02]\n",
      " [-5.05684055e-02  1.34228207e-02  3.46900225e-02]\n",
      " [-4.36592326e-02 -7.12134317e-02  5.61279021e-02]\n",
      " [-6.92255273e-02 -1.39335215e-01 -4.16575326e-03]\n",
      " [-1.16715223e-01  9.49070230e-02 -1.19142137e-01]\n",
      " [-1.17042154e-01  5.33805564e-02 -3.38091813e-02]\n",
      " [-1.71531383e-02  1.25398366e-02  1.00301534e-01]\n",
      " [ 8.94768536e-02  3.02452166e-02 -1.20317964e-02]\n",
      " [-7.79112428e-02  1.59449410e-02  9.55496803e-02]\n",
      " [ 1.02617666e-02 -4.25853021e-02  9.08731855e-03]\n",
      " [ 1.40719309e-01  8.16709325e-02  1.17559686e-01]\n",
      " [-2.29563843e-02  7.28624389e-02  6.87827542e-02]\n",
      " [ 2.30684634e-02 -1.15550555e-01 -4.42040674e-02]\n",
      " [ 8.91355947e-02 -1.07049890e-01  1.15620010e-01]\n",
      " [-1.64145250e-02  3.93843949e-02 -1.57339439e-01]\n",
      " [-5.81679344e-02 -1.43835768e-02 -4.96205362e-03]\n",
      " [-9.47668105e-02  9.90479887e-02  2.79812776e-02]\n",
      " [-3.93127054e-02  1.90622099e-02  5.86697273e-02]\n",
      " [-1.21082768e-01  3.95502448e-02  4.96415831e-02]\n",
      " [-1.25197484e-03  6.94206282e-02 -1.52294300e-02]\n",
      " [ 8.87336135e-02 -1.98529158e-02  9.65362340e-02]\n",
      " [-2.99862996e-02 -7.32317800e-03  1.38656929e-01]\n",
      " [-1.57531556e-02 -1.98318576e-03 -3.43395732e-02]\n",
      " [ 9.67407376e-02 -5.36180586e-02  5.93270473e-02]\n",
      " [ 2.01529592e-01  1.84056684e-01  1.72541022e-01]\n",
      " [ 1.11446969e-01  2.91043296e-02  9.66134854e-03]\n",
      " [-5.66996671e-02 -3.75241600e-02  2.60007661e-03]\n",
      " [ 1.02367580e-01 -1.02240071e-02  1.05075072e-02]\n",
      " [ 3.09233721e-02  4.08373065e-02  1.49679959e-01]\n",
      " [ 6.14084415e-02 -3.85769382e-02  1.13500699e-01]\n",
      " [ 4.66784416e-03 -6.04938157e-02  1.08506046e-01]\n",
      " [-1.13089174e-01  3.49072888e-02 -7.36041293e-02]\n",
      " [-4.37984020e-02 -8.96023214e-02 -9.70445648e-02]\n",
      " [ 4.10132818e-02 -7.32845664e-02 -3.60972881e-02]\n",
      " [ 1.34888422e-02  1.38964383e-02 -9.32809934e-02]\n",
      " [-5.94870374e-02 -6.66996241e-02  7.96831027e-02]\n",
      " [ 6.70788363e-02  3.83722060e-03 -1.11558124e-01]\n",
      " [ 8.32085907e-02 -5.00350893e-02  1.00217871e-01]\n",
      " [-9.88949556e-03 -1.94982421e-02  7.21028671e-02]\n",
      " [ 7.35780895e-02  2.57092547e-02  5.83542623e-02]\n",
      " [-5.01825809e-02 -9.66791064e-02  4.65446189e-02]\n",
      " [-1.14071332e-02 -2.56087966e-02  1.45000666e-01]\n",
      " [ 5.61980531e-02 -7.72701111e-03 -1.56626627e-02]\n",
      " [ 7.16779334e-03  7.59021044e-02 -1.10627867e-01]\n",
      " [-5.60045205e-02 -2.87571456e-02  1.37004003e-01]\n",
      " [ 8.69569480e-02 -8.72260407e-02 -6.29504472e-02]\n",
      " [ 3.80248018e-02  3.42443362e-02 -1.04601555e-01]\n",
      " [ 8.29370171e-02 -5.46471681e-03  1.03126928e-01]\n",
      " [-4.43075374e-02  5.77481352e-02  2.80597694e-02]\n",
      " [ 8.33800733e-02 -6.45562112e-02 -1.63766667e-02]\n",
      " [-6.55438602e-02  1.04483165e-01  9.93273109e-02]\n",
      " [ 2.15652008e-02  8.58544409e-02 -7.37034455e-02]\n",
      " [-1.52332470e-01 -1.07069999e-01 -1.17120661e-01]\n",
      " [ 3.90538126e-02 -8.40727240e-02  2.40161959e-02]\n",
      " [-1.52862538e-03  2.89799571e-02 -3.27121690e-02]\n",
      " [ 6.10935315e-02  9.40878913e-02 -3.75285652e-03]\n",
      " [ 9.29989759e-03 -1.63663588e-02 -5.82277067e-02]\n",
      " [ 1.50106028e-01  1.03329808e-01  1.60804495e-01]\n",
      " [ 4.18934077e-02 -7.31572211e-02 -3.71746570e-02]\n",
      " [ 1.37656495e-01  1.16195999e-01  5.34554943e-02]\n",
      " [-1.00354873e-01  4.24787961e-02  4.96389009e-02]\n",
      " [ 1.33766024e-03 -4.01195735e-02  1.18307844e-01]\n",
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      " [-7.09219873e-02 -9.80947912e-02 -8.48949254e-02]\n",
      " [ 9.29061025e-02 -6.50567887e-03  1.00840971e-01]\n",
      " [-1.64159872e-02 -7.97074363e-02  1.34783499e-02]\n",
      " [ 1.89841483e-02  7.03836009e-02 -7.45318756e-02]\n",
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      " [-3.87922153e-02 -9.85895172e-02 -2.36875229e-02]\n",
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      " [ 8.24052244e-02 -2.31065359e-02  3.60596962e-02]\n",
      " [ 3.25226933e-02 -3.31211984e-02 -7.25208549e-03]\n",
      " [-2.78724469e-02  6.03050664e-02  1.17354415e-01]\n",
      " [-8.02803040e-02 -3.28725539e-02  1.08821057e-02]\n",
      " [-1.54508755e-01 -5.42215742e-02 -1.15800969e-01]\n",
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      " [ 1.16256759e-01  4.36405987e-02  4.39005084e-02]\n",
      " [-8.87205377e-02  1.03118315e-01  8.89452081e-03]\n",
      " [-5.77166304e-02  8.14600959e-02  7.97765478e-02]\n",
      " [ 8.74813497e-02  2.50904076e-03  8.00839812e-02]\n",
      " [ 1.96062047e-02  5.85178472e-02  7.06076100e-02]\n",
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      " [ 5.08015119e-02  5.39551750e-02  7.48268366e-02]\n",
      " [ 4.73998003e-02  1.29825428e-01 -6.80280104e-02]\n",
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      " [-2.64912136e-02  9.57683951e-05  9.44722071e-02]\n",
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      " [-1.24988370e-02 -4.86799981e-03 -7.98923373e-02]\n",
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      " [-4.75516692e-02 -1.42501369e-02 -1.25258118e-02]\n",
      " [ 4.50813659e-02 -8.21715444e-02  1.00851543e-01]\n",
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      " [-3.20363678e-02 -3.31798233e-02 -1.72700267e-02]\n",
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      " [ 7.78054669e-02 -5.54117560e-03  7.03248661e-03]\n",
      " [-5.57769910e-02 -1.15036346e-01 -3.97441648e-02]\n",
      " [-3.74196051e-03  1.01906825e-02  1.17215319e-02]\n",
      " [ 8.19346607e-02  8.71026441e-02  4.52201292e-02]\n",
      " [-1.00779556e-01 -8.57934877e-02  5.19895889e-02]\n",
      " [-5.33668660e-02  1.82033051e-02  1.46130085e-01]\n",
      " [-1.01754643e-01  1.56018455e-02 -8.26220363e-02]\n",
      " [-1.05019130e-01  7.90014863e-03 -6.99270740e-02]\n",
      " [ 8.05941820e-02 -3.52418236e-02 -1.02079980e-01]\n",
      " [-5.30197322e-02  9.24572051e-02  1.41508594e-01]\n",
      " [-1.03007168e-01  9.10392478e-02 -2.32908037e-02]\n",
      " [ 1.94868129e-02  4.92896773e-02  6.55161813e-02]\n",
      " [-1.81713104e-02 -1.01849688e-02  1.12276331e-01]\n",
      " [-1.33714944e-01 -9.53869745e-02 -1.23028450e-01]\n",
      " [ 6.09112941e-02 -6.26248568e-02  3.83398123e-02]\n",
      " [-6.89900815e-02  7.31498376e-02  4.55899760e-02]\n",
      " [ 2.85742041e-02  8.02040473e-02 -4.84365188e-02]\n",
      " [ 3.64438593e-02 -2.76042540e-02 -1.38561204e-01]\n",
      " [ 7.97922090e-02  2.04736013e-02  5.78914136e-02]\n",
      " [ 4.97419536e-02  3.27815786e-02 -1.01170421e-01]\n",
      " [-3.20600695e-03  4.16280609e-03  1.02423839e-02]]\n",
      "tensor: TemporalFusionTransformer/time_distributed_6/kernel (float32) [320, 320]\n",
      "[[ 0.04867953 -0.03996345  0.07594164 ...  0.04741609  0.01821649\n",
      "  -0.02085526]\n",
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      "   0.0185415 ]\n",
      " ...\n",
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      "  -0.08722452]\n",
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      " [-0.02472822  0.07110272  0.04907685 ...  0.00040949  0.08786266\n",
      "  -0.03910695]]\n",
      "tensor: TemporalFusionTransformer/time_distributed_7/bias (float32) [320]\n",
      "[ 1.71973519e-02 -9.27742571e-02 -1.21782208e-02 -5.42917214e-02\n",
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      "  2.62877881e-03  2.60056667e-02  7.75507763e-02  4.64932155e-03\n",
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      "  9.05284658e-03  2.57563908e-02  1.51364822e-02  1.30264219e-02\n",
      " -2.16619764e-02 -2.34273896e-02 -1.08870743e-02  4.88235429e-03\n",
      "  3.04698981e-02  6.06344547e-05  3.27133872e-02 -1.28207263e-02]\n",
      "tensor: TemporalFusionTransformer/time_distributed_7/kernel (float32) [320, 320]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[-0.03982907 -0.05290448 -0.00498003 ...  0.08980659  0.08938104\n",
      "   0.05476809]\n",
      " [ 0.10467871  0.16173078 -0.08224405 ...  0.01008898 -0.0446077\n",
      "  -0.01842928]\n",
      " [-0.01026152 -0.02277168 -0.01367796 ...  0.02189779  0.01939221\n",
      "   0.0139221 ]\n",
      " ...\n",
      " [ 0.06143018 -0.01990646 -0.03879435 ...  0.04645559  0.00481205\n",
      "  -0.07843418]\n",
      " [-0.02636318  0.0593048  -0.00263645 ... -0.018624    0.0293839\n",
      "   0.07500318]\n",
      " [ 0.07670652  0.09214036  0.0401341  ...  0.01752825  0.04337893\n",
      "   0.03510747]]\n",
      "tensor: TemporalFusionTransformer/time_distributed_8/bias (float32) [5]\n",
      "[ 0.01565856 -0.06814927 -0.0066828   0.0027805  -0.0309801 ]\n",
      "tensor: TemporalFusionTransformer/time_distributed_8/kernel (float32) [320, 5]\n",
      "[[-0.01212254  0.00342545  0.06118836  0.13319643 -0.03054208]\n",
      " [-0.0406742   0.06441032  0.10064966 -0.00420228  0.04438787]\n",
      " [ 0.01034941 -0.0006388   0.00045967 -0.01386102 -0.10800174]\n",
      " ...\n",
      " [ 0.05357946 -0.00832268  0.05876359 -0.12196364 -0.13145638]\n",
      " [-0.00646463 -0.0113532   0.11173046 -0.05609247 -0.03513215]\n",
      " [ 0.0635002   0.00135923  0.06442598 -0.02645431  0.01864405]]\n",
      "tensor: TemporalFusionTransformer/time_distributed_9/bias (float32) [5]\n",
      "[-0.03288124  0.03754508 -0.06912941 -0.01935249 -0.06344379]\n",
      "tensor: TemporalFusionTransformer/time_distributed_9/kernel (float32) [320, 5]\n",
      "[[-0.02614561  0.08618523 -0.13960598  0.03412918 -0.03982438]\n",
      " [ 0.07292107 -0.12948364  0.06799918  0.21185508  0.1779569 ]\n",
      " [-0.10886157 -0.122986   -0.01661154 -0.04665868  0.1036934 ]\n",
      " ...\n",
      " [-0.09096845 -0.03373599  0.02678127 -0.10668432 -0.03399574]\n",
      " [-0.15233319  0.02449018 -0.08060601 -0.04654811 -0.14078213]\n",
      " [ 0.03079215  0.04675183  0.04209268  0.1646733   0.07864138]]\n",
      "# Total number of params: 9215398\n",
      "INFO:tensorflow:Restoring parameters from /mnt/srv/home/dlpc.890/TFT/repo/tft/outputs_smartFall_wo_known/saved_models/smartFall_wo_known_16/fixed/TemporalFusionTransformer.ckpt\n",
      "Done.\n"
     ]
    }
   ],
   "source": [
    "tf.compat.v1.reset_default_graph()\n",
    "with tf.Graph().as_default(), tf.compat.v1.Session(config=tf_config) as sess:\n",
    "    tf.compat.v1.keras.backend.set_session(sess)\n",
    "    # Create a new model & load weights\n",
    "    model = TemporalFusionTransformer(model_params,\n",
    "                                      use_cudnn=True)\n",
    "    model.load(model_folder)\n",
    "    \n",
    "    # Make forecasts\n",
    "    output_map = model.predict(test, return_targets=True)\n",
    "    \n",
    "    targets = data_formatter.format_predictions(output_map[\"targets\"])\n",
    "    # Format predictions\n",
    "    \n",
    "    p50_forecast = data_formatter.format_predictions(output_map[\"p50\"])\n",
    "    p90_forecast = data_formatter.format_predictions(output_map[\"p90\"])\n",
    "\n",
    "    def extract_numerical_data(data):\n",
    "        \"\"\"Strips out forecast time and identifier columns.\"\"\"\n",
    "        return data[[\n",
    "            col for col in data.columns\n",
    "            if col not in {\"forecast_time\", \"identifier\"}\n",
    "        ]]\n",
    "    # Compute Losses\n",
    "    p50_loss = utils.numpy_normalised_quantile_loss(\n",
    "        extract_numerical_data(targets), extract_numerical_data(p50_forecast),\n",
    "        0.5)\n",
    "    p90_loss = utils.numpy_normalised_quantile_loss(\n",
    "        extract_numerical_data(targets), extract_numerical_data(p90_forecast),\n",
    "        0.9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-22T15:02:23.916257Z",
     "start_time": "2021-06-22T15:02:23.906486Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hyperparam optimisation completed @ 2021-06-22 15:02:23.912698\n",
      "Best validation loss = 0.27969117539868826\n",
      "Normalised quantile losses: P50=1.2891867177188965, P90=1.02747675278961\n"
     ]
    }
   ],
   "source": [
    "import datetime as dte\n",
    "print(\"Hyperparam optimisation completed @ {}\".format(dte.datetime.now()))\n",
    "print(\"Best validation loss = {}\".format(val_loss))\n",
    "# print(\"Params:\")\n",
    "\n",
    "# for k in best_params:\n",
    "#     print(k, \" = \", best_params[k])\n",
    "#     print()\n",
    "print(\"Normalised quantile losses: P50={}, P90={}\".format(p50_loss.mean(), p90_loss.mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-22T15:02:23.958067Z",
     "start_time": "2021-06-22T15:02:23.918964Z"
    }
   },
   "outputs": [
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       "   forecast_time  identifier       t+0       t+1       t+2       t+3  \\\n",
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       "\n",
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       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p50_forecast.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-22T15:02:24.001468Z",
     "start_time": "2021-06-22T15:02:23.961189Z"
    }
   },
   "outputs": [
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      "text/plain": [
       "   forecast_time  identifier  t+0  t+1  t+2  t+3  t+4  t+5  t+6  t+7  ...  \\\n",
       "0             31           0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...   \n",
       "1             32           0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...   \n",
       "2             33           0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...   \n",
       "3             34           0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...   \n",
       "4             35           0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...   \n",
       "\n",
       "   t+22  t+23  t+24  t+25  t+26  t+27  t+28  t+29  t+30  t+31  \n",
       "0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  \n",
       "1   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  \n",
       "2   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  \n",
       "3   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  \n",
       "4   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  \n",
       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "targets.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:51:34.742875Z",
     "start_time": "2021-07-07T06:51:34.727898Z"
    }
   },
   "outputs": [],
   "source": [
    "forecast = p50_forecast.drop(['forecast_time', 'identifier'], axis=1)\n",
    "target = targets.drop(['forecast_time', 'identifier'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:51:48.652677Z",
     "start_time": "2021-07-07T06:51:34.745794Z"
    }
   },
   "outputs": [],
   "source": [
    "predicted = list()\n",
    "for i in range(len(forecast)):\n",
    "    value = forecast.iloc[i].values\n",
    "    for v in value:\n",
    "        if v >= 0.5:\n",
    "            predicted.append(1.0)\n",
    "        else:\n",
    "            predicted.append(0.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:51:58.263157Z",
     "start_time": "2021-07-07T06:51:48.655508Z"
    }
   },
   "outputs": [],
   "source": [
    "transformed_target = list()\n",
    "for i in range(len(target)):\n",
    "    value = list(target.iloc[i].values)\n",
    "    for v in value:\n",
    "        if v == 0.0:\n",
    "            transformed_target += [0.0]\n",
    "        else:\n",
    "            transformed_target += [1.0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-22T15:03:00.371322Z",
     "start_time": "2021-06-22T15:02:59.859565Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Counter({0.0: 2749984, 1.0: 160800})\n",
      "Counter({0.0: 2700608, 1.0: 210176})\n"
     ]
    }
   ],
   "source": [
    "from collections import Counter\n",
    "print(Counter(transformed_target))\n",
    "print(Counter(predicted))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-22T15:03:13.507678Z",
     "start_time": "2021-06-22T15:03:00.373814Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "recall score is  0.5326990049751243\n",
      "precision score is  0.40755366930572473\n",
      "f1 score is  0.4617980677995342\n",
      "accuracy score is  0.9314067962445857\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import accuracy_score, f1_score, recall_score, precision_score\n",
    "\n",
    "recall = recall_score(transformed_target, predicted)\n",
    "precision = precision_score(transformed_target, predicted)\n",
    "f1 = f1_score(transformed_target, predicted)\n",
    "acc = accuracy_score(transformed_target, predicted)\n",
    "\n",
    "print('recall score is ', recall)\n",
    "print('precision score is ', precision)\n",
    "print('f1 score is ', f1)\n",
    "print('accuracy score is ', acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:51:58.495265Z",
     "start_time": "2021-07-07T06:51:58.265656Z"
    }
   },
   "outputs": [],
   "source": [
    "import matplotlib.style\n",
    "import matplotlib as mpl\n",
    "mpl.style.use('classic')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-07T06:56:39.427366Z",
     "start_time": "2021-07-07T06:56:39.303745Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(10, 5), facecolor='white')\n",
    "plt.plot(output_map['targets']['t+0'][:1500], label='target', color='darkorange', linewidth=3)\n",
    "plt.plot(output_map['p10']['t+0'][:1500], label='p10', color='red', linewidth=3)\n",
    "plt.plot(output_map['p50']['t+0'][:1500], label='p50', color='dodgerblue', linewidth=3)\n",
    "plt.plot(output_map['p90']['t+0'][:1500], label='p90', c='g', linewidth=3)\n",
    "ax = plt.gca()\n",
    "ax.axes.xaxis.set_visible(False)\n",
    "ax.axes.yaxis.set_visible(False)\n",
    "plt.yticks(np.arange(0, 3, 1))\n",
    "# plt.xticks(np.arange(0, 1500))\n",
    "plt.legend(loc=(-0.1, -0.2), ncol=4, fontsize=25)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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": "3.7.6"
  },
  "latex_envs": {
   "LaTeX_envs_menu_present": true,
   "autoclose": false,
   "autocomplete": true,
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 1,
   "hotkeys": {
    "equation": "Ctrl-E",
    "itemize": "Ctrl-I"
   },
   "labels_anchors": false,
   "latex_user_defs": false,
   "report_style_numbering": false,
   "user_envs_cfg": false
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}