attention-analysis/attention-per-interaction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d0a00159-070e-4f27-8552-0c7cb191bf43",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Ieremie\\Desktop\\TransformerGO\\TransformerGO\n",
      "C:\\Users\\Ieremie\\Desktop\\TransformerGO\\TransformerGO\\protein-ppi-encoding-module\n",
      "importing Jupyter notebook from transformerGO.ipynb\n",
      "importing Jupyter notebook from harvard_transformer.ipynb\n",
      "C:\\Users\\Ieremie\\Desktop\\TransformerGO\\TransformerGO\n",
      "C:\\Users\\Ieremie\\Desktop\\TransformerGO\\TransformerGO\\training-testing\n",
      "importing Jupyter notebook from training_helper.ipynb\n",
      "C:\\Users\\Ieremie\\Desktop\\TransformerGO\\TransformerGO\n",
      "C:\\Users\\Ieremie\\Desktop\\TransformerGO\\TransformerGO\\datasets\n",
      "importing Jupyter notebook from dataset_manip.ipynb\n",
      "C:\\Users\\Ieremie\\Desktop\\TransformerGO\\TransformerGO\n",
      "Device available:  cuda   GeForce GTX 960M\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn\n",
    "\n",
    "import numpy as np\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "import import_ipynb\n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.gridspec as gridspec\n",
    "\n",
    "#import model\n",
    "%cd ..\n",
    "%cd \"protein-ppi-encoding-module\"\n",
    "from transformerGO import *\n",
    "\n",
    "%cd .. \n",
    "%cd \"training-testing\"\n",
    "from training_helper import * \n",
    "\n",
    "#import dataset functions\n",
    "%cd ..\n",
    "%cd \"datasets\"\n",
    "from dataset_manip import *\n",
    "%cd .. \n",
    "\n",
    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
    "print(\"Device available: \", device, \" \", torch.cuda.get_device_name(0))\n",
    "\n",
    "#for np array from nested sequences\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\", category=np.VisibleDeprecationWarning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "abe12c99-e875-4de6-aec3-cc6f806cbc27",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rejected interactions where at least one protein has no annotation:  3637\n",
      "Rejected interactions where go_filter=ALL and intr_set_size_filter=[0, 500]:  0\n",
      "Number of interactions: 72556\n",
      "Rejected interactions where at least one protein has no annotation:  18633\n",
      "Rejected interactions where go_filter=ALL and intr_set_size_filter=[0, 500]:  0\n",
      "Number of interactions: 57560\n",
      "Train set:  130116\n"
     ]
    }
   ],
   "source": [
    "organism = 4932\n",
    "EMB_DIM = 64\n",
    "\n",
    "data_path = 'datasets/onto2vec-datasets-string/data'\n",
    "go_embed_pth = f\"term-encoding-module/emb/go-terms-{EMB_DIM}.emd\"\n",
    "go_id_dict_pth = \"term-encoding-module/go_id_dict\"\n",
    "protein_go_anno_pth = data_path +\"/sgd.gaf.gz\"\n",
    "alias_path = data_path + f'/{organism}.protein.aliases.v11.0.txt.gz'\n",
    "\n",
    "neg_path_train = data_path + f'/train/{organism}.no-mirror.negative_interactions.txt'\n",
    "poz_path_train = data_path + f'/train/{organism}.no-mirror.protein.links.v11.0.txt'\n",
    "\n",
    "train_set = get_dataset_split_stringDB(poz_path_train, neg_path_train, protein_go_anno_pth, go_id_dict_pth, go_embed_pth, None, alias_path, ratio = [1, 0, 0], stringDB = True)[0]\n",
    "print(\"Train set: \", len(train_set))\n",
    "\n",
    "def helper_collate(batch):\n",
    "    MAX_LEN_SEQ = get_max_len_seq(batch)\n",
    "    return transformerGO_collate_fn(batch, MAX_LEN_SEQ, EMB_DIM, pytorch_pad = False)\n",
    "\n",
    "params = {'batch_size': 32,'collate_fn': helper_collate}\n",
    "train_grt = data.DataLoader(train_set, **params, shuffle = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3591db66-11d9-4a28-b74e-77ca3f88f2b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Annotations of protein 4932.YGR189C: ('GO:0006037', 'GO:0009277', 'GO:0031505', 'GO:0016757', 'GO:0071944', 'GO:0000131') \n",
      "\n",
      "Annotations of protein 4932.YGR171C: ('GO:0004825', 'GO:0005739', 'GO:0006431')\n",
      "Encoder Layer 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Encoder Layer 2\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Encoder Layer 3\n"
     ]
    },
    {
     "data": {
      "image/png": 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9ZduHgUci4uXAycAX+u7/m777HzbWa2JmZmZmZmZmZoMzniOwDgZWRcTpQxsi4s6IOA04DjgrIpaU7Q8CJwAnjZBzOHBO9FwJbCVpJ2B/YFlE3BYRq4Dzyn2JiMf7Hr8ZEGX7UxHxI3oLWeN1OHB2+f6fgEPK4pyZmZmZmZmZmSU2ngWsvYEl69l3zbBti8t2JB0r6diy/cXA3X33W162jbadkvGXku4G3sezR2CN5e/LxwH/tG+R6pnniYg1wGPA7LJvE0mLJV0paf5IgZKOKfdZ/O8rlo1zGGZmZmZmZmZmtqEmfBJ3SQslXS/pakCUo6KGGTpS6vS+I7dGOtop1rOdkvHfI2JX4B+A48cxxPdFxD7AG8vtA2M8P8BuETEP+EPgFEkve94dI86IiHkRMe93Z758HMMwMzMzMzMzM7MaxrOAtRR45oTrEXEccAiwXdk3b9j95wI3jZCzHNi17+ddgHvWs324c4HfH2uwEfGr8vWJ8pj9hz+/pOnAlsDD5b73lK+3AT8EXjPW85iZmZmZmZmZ2WCMZwHrEnofsftY37aZ5etC4GhJ+0Lv6oD0To7+xRFyFgFHlasRHgA8FhH3AlcDcyTtIWkGvRPELyp5c/oefxhw8/oGKmm6pG3L9xsB/xm4se/5P1i+fzdwSUSEpK0lbVwesy3wBkZegDMzMzMzMzMzsykwfaw7lEWe+cDJkk4AHgCeAk6MiHslvR/4qqRZ9D6md0pEnA+9c2CVjNOBC4B3AMuAFcCHyr41ko4HLgKmAWdGxNLy9J+X9EpgHXAnMHQ+LSTdAWwBzCjje2u5z0Vl8Woa8O/AV8tDvg78X0nL6B15taBsfxXwfySto7eg9/mI8AKWmZmZmZmZmVkSYy5gAZQjpRaMsu9y4LWj7Ou/cmHQu2rhSPe7gN4C1/Dto35kMCJ2H2XX3FHuvxJ4zwjbfwLsM9rzmJmZmZmZmZnZ1JrwSdzNzMzMzMzMzMwGyQtYZmZmZmZmZmaWmhewzMzMzMzMzMwsNS9gmZmZmZmZmZlZauM6ibs91/3TVTWvd377eu6avq5a1mum71wtC+AX/Kpq3rrKr13TLn/sF9Wytt5k82pZAN999MaqeV96z65V8/7om5tUy5qmdq3dL3/64ap5O286u1rWP0x/tFoWwLrV9d6/AF62xU5V8/bXVlXzmnb/2qeqZb00tqiWBfCtdXV7HdT982CLjTarlrWu8tiatmdsWjXv+795qFrWXRvXe/8CeMfGu1XNO+WBK6rmte3Pq61nzKqWde+aJ6plAcycvnHVvBdV/N3Ufv968om6c23aTtPq/p32n5+q9/ftt896ZbUsgBWxtmreJY/fUjVvs+l13/+b9oOH6v37Zc6Wdf/d+64Vv6ya99Yt6nXxio3urpYF8BHq/n17fdr1p6KZmZmZmZmZmXWOF7DMzMzMzMzMzCw1L2CZmZmZmZmZmVlqXsAyMzMzMzMzM7PUvIBlZmZmZmZmZmapjWsBS9IOks6VdJukayRdIemIsu9ASVdJurncjhklQ5JOlbRM0g2S9uvb93ZJt5R9J/Vtf4+kpZLWSZo3LO/VZRxLJf1M0iaSZkm6ru/2oKRTyv2PlvRA377/p2x/87DHrJQ0f6IvpJmZmZmZmZmZNWP6WHeQJOA7wNkR8Ydl20uAwyTtCJwLzI+IJZK2BS6S9KuI+N6wqEOBOeX2OuArwOskTQMWAm8BlgNXS1oUETcBNwLvAv7PsDFNB74BfCAirpc0G1gdESuBffvudw3wz30P/VZEHN+fFRGXDj1G0jbAMuAHY70uZmZmZmZmZmY2GOM5AutgYFVEnD60ISLujIjTgOOAsyJiSdn+IHACcNIIOYcD50TPlcBWknYC9geWRcRtEbEKOK/cl4j4eUTcMkLWW4EbIuL6cr+HImJt/x0kzQG2B/5jHHMc8m7gwohYMYHHmJmZmZmZmZlZg8azgLU3sGQ9+64Ztm1x2Y6kYyUdW7a/GLi7737Ly7bRtq/PK4CQdJGkJZJOGOE+R9I74ir6tv1++fjiP0nadYTHLAC+OcZzm5mZmZmZmZnZAE34JO6SFkq6XtLVgIAY4W4BEBGn9x25pVHuN9r29ZkOHAi8r3w9QtIhw+4zfDHqfGD3iHg18O/A2f13LkeD7QNcNNITSjpG0mJJi3/85K1jDM/MzMzMzMzMzGoZzwLWUuCZE65HxHHAIcB2Zd+8YfefC9w0Qs5yoP+op12Ae9azfX2WA5dFxIPl434X9I9R0m8D0yPimaPDyscMny4/frWMs997gX+JiNUjPWFEnBER8yJi3hs2nzPG8MzMzMzMzMzMrJbxLGBdAmwi6WN922aWrwuBoyXtC1BOpv4F4Isj5CwCjipXIzwAeCwi7gWuBuZI2kPSDHpHTi0aY0wXAa+WNLOc0P1NPHfR7EiGfRSwHGE15DDg58Myn/cYMzMzMzMzMzObemNehTAiQtJ84ORyrqkHgKeAEyPiXknvB74qaRa9jwOeEhHnQ+8cWCXjdHpHSb2D3lX+VgAfKvvWSDqe3qLUNODMiFhaHn8EcBq9o72+J+m6iHhbRDwi6cv0Fr8CuGDYVQ/fW56r3yckHQasAR4Gjh7aIWl3ekeBXTb2S2ZmZmZmZmZmZoM05gIWQDlSasEo+y4HXjvKvv4rFwa9qxaOdL8L6C1wDd/+L8C/jPKYbwDfGGXfS0fY9mng06Pc/w7GPnG8mZmZmZmZmZlNgQmfxN3MzMzMzMzMzGyQvIBlZmZmZmZmZmapeQHLzMzMzMzMzMxS8wKWmZmZmZmZmZmlNq6TuNtz/dmjP62ad/yOb6ia9/VHr62W9fBvnqiWBfCxnQ6smjezZWuwc7fYo1rW9i/atFoWwP3rflM178DzH66a95bZe1fN+97911fNa9Lxm76qat6XnryuWtZDqx7nv222b7W8s/RktSyAO564p2reXz56d9W8z1ZNe75dpm9RLesra35dLQtguqZVzZs9ffOqeQ+srvfn3z6b7VotaxC++NCVVfNmbrRxtawrHv8ljz79VLW8sz7+29WyAL76tU2q5m2+Ud0/65sWRLWsHSr/N33Pyoeq5m23yZZV8z6r512DatIOf+LGallDbq+e+Kz7162omvfQyserZe0xs977F8D5a+r+vWRtrKua99szu3tds0M32b1q3sLH6/5ZunTTeu9hW0yfyWHT6/2u/3Z13b8fH7Wefe3617+ZWQVtWrzKrubilZnZWGouXpllUXPxysxsLDUXrwbNC1hmZmZmZmZmZpaaF7DMzMzMzMzMzCw1L2CZmZmZmZmZmVlqXsAyMzMzMzMzM7PUvIBlZmZmZmZmZmapjWsBS9IOks6VdJukayRdIemIsu9ASVdJurncjhklQ5JOlbRM0g2S9uvb93ZJt5R9J/Vt/5ak68rtDknXle2zJV0q6UlJfzvsef6g5C+V9MURxvFuSSFp3rDtW0j61fA8MzMzMzMzMzObWtPHuoMkAd8Bzo6IPyzbXgIcJmlH4FxgfkQskbQtcJGkX0XE94ZFHQrMKbfXAV8BXidpGrAQeAuwHLha0qKIuCki/qBvHH8NPFZ+XAn8KfBb5TZ0n9nAl4C5EfGApLMlHRIRF5f9s4BPAD8dYap/AVw21uthZmZmZmZmZmaDNZ4jsA4GVkXE6UMbIuLOiDgNOA44KyKWlO0PAicAJ42QczhwTvRcCWwlaSdgf2BZRNwWEauA88p9n1EW0d4LfLM8z1MR8SN6C1n9Xgr8IiIeKD//O/D7ffv/Avji8MdJmgvsAPxgHK+HmZmZmZmZmZkN0HgWsPYGlqxn3zXDti0u25F0rKRjy/YXA3f33W952Tba9n5vBO6LiFvHGOsyYE9Ju0uaDswHdi1jeQ2wa0T8a/8DJL0I+GvgT8bINjMzMzMzMzOzKTDmRwiHk7QQOBBYRW+xKUa4WwD0H7UFaJT7jba935GUo6/WJyIekfQx4FvAOuAnwEvLItXJwNEjPOzjwAURcXfvQK+RlXN7HQMwc+Pt2HijLccajpmZmZmZmZmZVTCeBayl9H0MLyKOK+e6WgxcBMwDFvXdfy5w0wg5yylHQxW7APcAM0bZDkA5kupdJXdMEXE+cH557DHAWmAWvXNl/bAsUu0ILJJ0GPB64I2SPg5sDsyQ9GREnDQs9wzgDIBtZs0ZadHOzMzMzMzMzMwaMJ6PEF4CbFKObBoys3xdCBwtaV945iTqX6B3nqnhFgFHlasRHgA8FhH3AlcDcyTtIWkGsIDnLoj9LnBzRCwfz4QkbV++bk3v6KqvRcRjEbFtROweEbsDVwKHRcTiiHhfROxWtv8xvfN0jXQOLzMzMzMzMzMzmwJjHoEVESFpPnCypBOAB4CngBMj4l5J7we+Wq7wJ+CUchQUQ+e/Kh8lvAB4B73zVK0APlT2rZF0PL2juaYBZ0bE0r4hLGCEjw9KugPYgt4RU/OBt0bETcDfSPrtcrc/j4hfTOD1MDMzMzMzMzOzZMZ1DqxypNSCUfZdDrx2lH39Vy4MelctHOl+F9Bb4Bpp39GjbN99lO1HjrR92H0OGmX7WcBZYz3ezMzMzMzMzMwGZzwfITQzMzMzMzMzM5syXsAyMzMzMzMzM7PUvIBlZmZmZmZmZmapeQHLzMzMzMzMzMxSG9dJ3O25Fsx+TdW8sx9ZUjXvpC1HPKf+pPzZqh9XywI495Frq+a9bau9q+Y17SC2rpb16XsurZYF8OmdD6qa94pNZlXNO/We/6iWNXOjjatlDcLsNXXzHljxWLWsx+v+mpnNzKp5T61aWTVvq002q5rXtPvWPlkta95G21XLArhx7aNV8x5Y/UTVvG032rxa1rVP3FEtaxB223z7qnl3PHlftaxZMzatlgWw9r56/40ABFE178nVv6ma17Rpqvf/xm9ZWa83ALM2qvvny+p1a6tlnbDupmpZAN/c+GVV85q227S6f5m4quLvZrt6UQDsNn2LqnlLnv5l1byrnry9al7Tdp45u1rWmZX/Tf4/tn1D1bz//Xi98X1u5bJqWQBnbfM7VfPWx0dgmZmZmZmZmZlZal7AMjMzMzMzMzOz1LyAZWZmZmZmZmZmqXkBy8zMzMzMzMzMUvMClpmZmZmZmZmZpeYFLDMzMzMzMzMzS21cC1iSdpB0rqTbJF0j6QpJR5R9B0q6StLN5XbMKBmSdKqkZZJukLRf3763S7ql7Dupb/s2kv5N0q3l69Z9+z5d7n+LpLf1bf9LSXdLes51kSUdK+lnkq6T9CNJe/Xt+76kRyX963heDzMzMzMzMzMzG5wxF7AkCfgOcHlEvDQi5gILgF0k7QicCxwbEXsCBwIflfTOEaIOBeaU2zHAV0r+NGBh2b8XcGTf4tJJwMURMQe4uPxM2b8A2Bt4O/B3JQfgfGD/EZ7/3IjYJyL2Bb4IfLlv35eAD4z1WpiZmZmZmZmZ2eCN5wisg4FVEXH60IaIuDMiTgOOA86KiCVl+4PACZSFpmEOB86JniuBrSTtRG+xaVlE3BYRq4Dzyn2HHnN2+f5sYH7f9vMi4umIuB1YVnKIiCsj4t7hTx4Rj/f9uBkQffsuBp4Yx2thZmZmZmZmZmYDNp4FrL2BJevZd82wbYvL9qGP7R1btr8YuLvvfsvLttG2A+wwtBhVvm4/RtZ6STpO0i/pHYH1ibHub2ZmZmZmZmZmU2/CJ3GXtFDS9ZKuBkTfkUx9AiAiTu87ckuj3G+07esdxiQeQ0QsjIiXAScCnxnr/s95QukYSYslLb7pidsm8lAzMzMzMzMzM9sA41nAWgo8c8L1iDgOOATYruybN+z+c4GbRshZDuza9/MuwD3r2Q5wX/mYIeXr/WNkjdd5PPtxxHGJiDMiYl5EzNtr1ksn8lAzMzMzMzMzM9sA41nAugTYRNLH+rbNLF8XAkdL2hdA0mzgC/Q+ojfcIuCocjXCA4DHyscCrwbmSNpD0gx6J2df1PeYD5bvPwh8t2/7AkkbS9qD3onhr1rfJCTN6fvxncCt65+2mZmZmZmZmZllMH2sO0RESJoPnCzpBOAB4CngxIi4V9L7ga9KmkXvo32nRMT50DsHVsk4HbgAeAe9E66vAD5U9q2RdDxwETANODMilpan/zzwbUkfBu4C3lMes1TSt+kd6bUGOC4i1pbn/CLwh8BMScuBr0XE54DjJf0usBp4hGcXxpD0H8CewOblMR+OiIsm9lKamZmZmZmZmVkTxlzAgmdOoL5glH2XA68dZV//lQuD3lULR7rfBfQWuIZvf4jexxVHesxfAn85wvYT6F0Jcfj2Pxopp+x742j7zMzMzMzMzMxsak34JO5mZmZmZmZmZmaD5AUsMzMzMzMzMzNLzQtYZmZmZmZmZmaWmhewzMzMzMzMzMwsNS9gmZmZmZmZmZlZbhHhW0M34BjnTX1WE3lN3zLPP/PY2pDX5C373DPnZR7bIG6Z5595bG3Ia/KWfe6Z8zKPbRC3Lr2WXctr8pZ97pnzMo9tELcuvZYv9DwfgdWsY5yXIquJvKZlnn/msbUhr0nZ5545L/PYBiHz/DOPrQ15Tco+98x5mcc2CF16LbuW16Tsc8+cl3lsg9Cl1/IFnecFLDMzMzMzMzMzS80LWGZmZmZmZmZmlpoXsJp1hvNSZDWR17TM8888tjbkNSn73DPnZR7bIGSef+axtSGvSdnnnjkv89gGoUuvZdfympR97pnzMo9tELr0Wr6g81ROpGVmZmZmZmZmZpaSj8AyMzMzMzMzM7PUvIBlZmZmZmZmZmapeQHLzMzMzMzMzMxS8wJWJZIOk7RJ1rxh2XtIepekPSf5+MbG1vccf9VQ7luayJ2sNvWm5KfuTld6A+3qTvbelOfoRHfa1JuSn7o7XekNtKs72XtTnqMT3WlTb0p+6u50pTdQ97Xsem/Kc3SiO116z+lqb3wS90ok/QZ4CrgQ+CZwUUSszZAn6TsRMb98fzhwCvBD4D8B/ysizpqqsZW8U4dvAj4AnAMQEZ+YbPYIz3VXROxWK29DZe5NyUvbnS73BnJ3J3NvSl5nu5O5NyUvbXe63BvI3Z3MvSl5ne1O5t6UvLTd6XJvoPpr2ZnelLzOdqdL7zld7Y2PwKrnZmAOcDnwX4F7JJ0u6U0J8l7S9/2JwMER8SHgDcCnpnhsAO8CtgEWA9eUr6vL99dMNEzSolFu5wOzJznGpmTuDeTuTpd7A7m7k7k30O3uZO4N5O5Ol3sDubuTuTfQ7e5k7g3k7k6XewN1X8su9Qa63Z0uved0szcR4VuFG7Bk2M87Ap8ArgDunsq8/izgqmH7rk0w11n0Vp/PBV5ctt22Ab+LR4B3Am8adjsIuG+qu9KW3mTvTpd7k707mXvT9e5k7k327nS5N9m7k7k3Xe9O5t5k706Xe9PAa9mZ3nS9O116z+lqb6a8ZC+U2/oKB7xkKvOAtcDjwBPAKmDHsn0GcMNUz7XvsXOBS4E/Bu7YgJwLgTePsu/yqe5KW3oTLelOF3vT0O+6Wl4behMd7U7m3kRLutPF3jT0u66W14beREe7k7k30ZLudLE3tV/LLvYmOtqdLr3ndLU3PgdWJZIOiogfZs0b5Tm2Al4VEVdM8HGNjU2SgI8Dr4+I9zfxHJm0sTflebYiUXe61htoZ3ey9aZkd6o7bexNeZ6tSNSdrvUG2tmdbL0p2Z3qTht7U55nKxJ1p2u9gbqvZVd7U7I71Z0uved0tTdewOoYSdsAERGPTPVY1kfSfhGxZKrHYc9qQ3fcm3za0BtwdzJqQ3fcm3za0BtwdzJqQ3fcm3za0BtwdzJqQ3cy9sYnca9E0p6SLpT0PUkvk3SWpEclXSXpVZPIe1jS1yQdUlZAN2Rsu0k6T9IDwE+BqyXdX7btPom8/9L3/S6SLi5z/YmkV0wib7/hN2CRpNeU7yeaV/V30aTMvSl5abvT5d5A7u5k7k3J6Gx3Mvem5KXtTpd7A7m7k7k3JaOz3cncm5KXtjtd7g3UHW+XelMyOtudLr3ndLY3k/3soW/P/xwn8HvAkcCdwAJ6l578PeDiSeTdAhwP/Bj4FfA3wAGTHNsVwB8A0/q2TStjvHISef0nn/s28FF6i6FHTHKu64Cf0Pus7dDtN+XrJVP9u+hqb7J3p8u9yd6dzL3pency9yZ7d7rcm+zdydybrncnc2+yd6fLvak93i71puvd6dJ7Tld7M+Ule6Hc6DuJGrBstHJNIK+/kLsBJwBLgNuAv5pg1q2T2TfOsV032uswgbx3A5cB7+jbdnuW30VXe5O9O13uTfbuZO5N17uTuTfZu9Pl3mTvTubedL07mXuTvTtd7k3t8XapN13vTpfec7raG3+EsJ5pfd9/edi+GZPIe+YQxYi4KyK+GBH7AYcCT08w6xpJfyfpdZJ2LrfXSfo74NpJjG0XSadKOg3YTtJGffs2Gu1Bo4mIf6J3ic23SPpHSbsBMYlxDan9u2hS5t5A4u50vDeQuztpewOd707m3kDi7nS8N5C7O2l7A53vTubeQOLudLw3UHe8nekNdL47XXrP6WRvpk/2gfY8CyVtHhFPRsTfDW2U9HLg3yeRd+lIGyPiFuB/TDDrKODD5XEvpvcf4nJgEfD1SYztT/q+XwxsDjwiaceSOWER8STwKUmvAc4GZk0mp6j9u2hS5t5A8u50uDeQuzupewOd7k7m3kDy7nS4N5C7O6l7A53uTubeQPLudLg3UHe8neoNdLo7XXrP6WRvfBVCS0eSgFkR8fhUj8Xaw72xyXJ3bDLcG5ssd8cmw72xyXJ3bDKy9sYLWBVJehswn95qagD3AN+NiO9vQN4u9E5ydkff9v8SEWdOIGfbiHiw7+f3A/sDNwJfjQmWQNKXgf8vIn48kceNkflm4PeBXYE1wK3A1yJiWa3nKM/z2Yj485qZGyprb8pjUneny72BvN3J3puS2dnuZO1NeUzq7nS5N5C3O9l7UzI7252svSmPSd2dLvcG6nanS70pmZ3tTlfec7raGy9gVSLpFOAVwDn0DgOEXtGPondCtj+aYN7/At5A7yRxvwecEhGnlX1LovfZ2/FmPXN/SZ8B3gicC/xnYHlEfGqCY3uA3pUEtgO+BXwzIibzee+hvM8DOwAX03uzuR34BfBxeifH+8fJZo/wXHdFxG618jZU5t4Mf0y27nS5N5C7O5l7U/I6253MvRn+mGzd6XJvIHd3Mvem5HW2O5l7M/wx2brT5d5A3e50qTclr7Pd6dJ7Tmd7ExXO9u9bAPxilO1iclej+BkwvXy/FXABcHL5+doJZl3b9/0SYLPy/UbAzyYxtmvL1znAnwJLgZuBPwNeMZm59n0/Hfhx+X5r4MZJ5D0+yu0JYM1Ud6UtvcnenS73Jnt3Mvem693J3Jvs3elyb7J3J3Nvut6dzL3J3p0u96Z2d7rUm653p0vvOV3tja9CWM9KSfuPsP21wMpJ5E2PiDUAEfEovRXfLST9IxM/a/+mkl4jaS4wLSKeKrmrgbWTGFuUx98aEX8REXsD7wU2ofcf9UStk7RN+X5nyhULIuIRePbKDxPwKDAnIrYYdpsF3DuJvCZl7g3k7k6XewO5u5O5N9Dt7mTuDeTuTpd7A7m7k7k30O3uZO4N5O5Ol3sDdbvTpd5At7vTpfecTvbGVyGs52jgK5Jm8ezhirvSW2U8ehJ5v5T0poi4DCAi1gIflvQ/6X0udSLu5dlLVz4saaeIuFfSbHqfbZ2o5xU4Im4AbgA+PYm8vwKulXQLsCfwMQBJ2wHXTyLvHOAlwH0j7Dt3EnlNOpq8vYHc3elybyB3dzL3BrrdnaPJ2xvI3Z0u9wZydydzb6Db3TmavL2B3N3pcm+gbne61BvodneOpjvvOZ3sjc+BVZl6l6185pKYEfHrSeZsChARvxlh34sj4lcbNNBezjRg44hYMcHHbR69S2xWU1Z7XwosK6vbndKm3pSsFN3pem+gXd3J0puS2enutKk3JStFd7reG2hXd7L0pmR2ujtt6k3JStGdrvcG6nSna70pmZ3uThfec7raGy9gVSJpBrA6yguq3hn89wOWxiSveFBy5tF3FYCIuLnGePvy95xo5nrmelNEXDjV4yuPE70rOvRffeKqSFb4tvamPEfa7rzQewPt7U7m3kx2fOVxrehOW3tTniNtd17ovYH2didzbyY7vvK4VnSnrb0pz5G2Oy/03kAz3el6byY7vvK4VnSnS+85Xe2NF7AqkXQ9cFBEPCLpT4Aj6H329E3A4oiY0GF8kt4E/DW9z47OBX5M7wRqq4EPRMTdlcY94SsA1J5rA+N7K/B39C77ObQqvgvwcuDjEfGDWuPbUG3tTXmutN15ofcG2tudzL3ZgPG1pjtt7U15rrTdeaH3Btrbncy92YDxtaY7be1Nea603Xmh9wbqvpbuzQaPrzXd6dJ7Tld74wWsSiTdGBG/Vb5fDLwxIn4jaTqwJCJePcG8a4G3RsQDkvYAvhwRR0h6C/AnEfHWCWSdOtou4IMRscUEx1Z7rrXH93Pg0Ii4Y9j2PYALIuJVE8lrUubelLy03elybyB3dzL3pqHxtaY7mXtT8tJ2p8u9gdzdydybhsbXmu5k7k3JS9udLvcGqr+WnelNQ+NrTXe69J7T1d74KoT1PC7pt8r3D9I7+z/0TpQ/mdd5WkQ8UL6/i94J0IiIf6N3CN5EfAi4Ebhm2G0xsGoSY6s919rjm86zJ+3r9yt6lyjNJHNvIHd3utwbyN2dzL1pYnxt6k7m3kDu7nS5N5C7O5l708T42tSdzL2B3N3pcm+g7mvZpd40Mb42dadL7zmd7I2vQljPscA/qHco3/3AYkmXAa+md0b/iVos6evAxcDhwA8BJM2kXNJyAq4GboyInwzfIelzkxhb7bnWHt+ZwNWSzgOGDuvcFVgAfH0SeU3K3BvI3Z0u9wZydydzb5oYX5u6k7k3kLs7Xe4N5O5O5t40Mb42dSdzbyB3d7rcG6j7WnapN02Mr03d6dJ7Tid7448QVqTe1QPeCryCZ1ccL4pJnMFf0kbAR4C96F228syIWKvelRC2j4g7J5C1DbAyJnhFjDEya861ifHtBRxG39UngEURcVOt56gla29KXtrudL03kLc7mXvT4Pha052svSl5abvT9d5A3u5k7k2D42tNd7L2puSl7U7XewNVX8vO9KbB8bWmO116z+lib7yAZWZmZmZmZmZmqfkcWJVI2lLS5yXdLOmhcvt52bbVBuT9fEPzJO0o6SuSFkqaLelzkn4m6duSdpro2MZ4rglfslPSEkmfkfSySmOo+rtoUubelLy03elybyB3dzL3pjyms93J3JuSl7Y7Xe4N5O5O5t6Ux3S2O5l7U/LSdqfLvYG64+1Sb8pjOtsdv+c88zwv2N54AauebwOP0LuU5eyImA28uWz7xw3Ie3OFvLOAm+h99vRS4DfAO4H/AE6f6MAk7TfKbS6w70Tz6F2KdCvgUklXSfqUpJ0nkTNktN/Fo0zud9GkzL2B3N3pcm8gd3fOIm9voNvdydwbyN2dLvcGcnfnLPL2Brrdncy9gdzd6XJvoG53utQb6HZ3OvOe09Xe+COElUi6JSJeOdF9g8iTdG1EvKZ8f1dE7Na377qI2HeCY1sLXEbvc6zDHRARm04wb0lE7Fe+fyNwJPAu4OfANyPijAnmVf1dNClzb8pj0nany72B3N3J3JuS19nuZO5NeUza7nS5N5C7O5l7U/I6253MvSmPSdudLvcGqr9HdKY3Ja+z3enSe05Xe+MjsOq5U9IJknYY2iBpB0kn8uxZ96cqr//3fM569o3Xz4GPRsSbh9/oXcJz0iLiPyLi4/RO9PYF4PWTiKn9u2hS5t5AS7rTwd5A7u60ojfQye5k7g20pDsd7A3k7k4regOd7E7m3kBLutPB3kDd8XayN9DJ7nTpPaeTvfECVj1/AMwGLpP0iKRH6F1mcxvgvVOc911JmwNExGeGNkp6OfCLSYztc4zenf93EnnPG0NErI2I70fEhyaRV/t30aTMvYHc3elybyB3dzL3hpHG0KHuZO4N5O5Ol3sDubuTuTeMNIYOdSdzbyB3d7rcG6g73i71hpHG0KHudOk953N0sDf+CKGZmZmZmZmZmaU2faoH8EIiaU/gcHqH2gVwD7AoIn4+1XmZx9aGvCZln3vmvMxjG4TM8888tjbkNSn73DPnZR7bIGSef+axtSGvSdnnnjkv89gGoUuvZdfympR97u71hvXGHyGsRL3Pcp5H7yRqVwFXl++/KemkqczLPLY25DUp+9wz52Ue2yBknn/msbUhr0nZ5545L/PYBiHz/DOPrQ15Tco+98x5mcc2CF16LbuW16Tsc3evK/QmInyrcKP3mdGNRtg+A7h1KvMyj60NeV3tTfa8zGPrencyj60NeV3tTfa8zGPrencyj60NeV3tTfa8zGNrW3eyv5Zdy2tLb7LnZR5bk73xEVj1rAN2HmH7TmXfVOZlHlsb8pqUfe6Z8zKPbRAyzz/z2NqQ16Tsc8+cl3lsg5B5/pnH1oa8JmWfe+a8zGMbhC69ll3La1L2ubvXG9gbnwOrnk8CF0u6lWcvC7kb8HLg+CnOyzy2NuQ16ZPknnvmvMxjG4RPknf+mcfWhrwmfZLcc8+cl3lsg/BJ8s4/89jakNekT5J77pnzMo9tED5Jd17LruU16ZPknnvNvMxjayIPwFchrEnSi4D96Z2kTMBy4OqIWDvVeZnH1oa8JmWfe+a8zGMbhMzzzzy2NuQ1KfvcM+dlHtsgZJ5/5rG1Ia9J2eeeOS/z2AahS69l1/KalH3u7vWG9cZHYFUUEesk3Q6sopxlf0N+OTXzMo+tDXlNyj73zHmZxzYImeefeWxtyGtS9rlnzss8tkHIPP/MY2tDXpOyzz1zXuaxDUKXXsuu5TUp+9zd6w3rjY/AqkTSvsDpwJb0VhYF7AI8Cnw8IpZMVV7msbUhr0nZ5545L/PYBiHz/DOPrQ15Tco+98x5mcc2CJnnn3lsbchrUva5Z87LPLZB6NJr2bW8JmWfu3tdoTcxBVcHeCHegOuA142w/QDg+qnMyzy2NuR1tTfZ8zKPrevdyTy2NuR1tTfZ8zKPrevdyTy2NuR1tTfZ8zKPrW3dyf5adi2vLb3Jnpd5bE32xlchrGeziPjp8I0RcSWw2RTnZR5bG/KalH3umfMyj20QMs8/89jakNek7HPPnJd5bIOQef6Zx9aGvCZln3vmvMxjG4QuvZZdy2tS9rm71xvYG58Dq54LJX0POIdnz7K/K3AU8P0pzss8tjbkNSn73DPnZR7bIGSef+axtSGvSdnnnjkv89gGIfP8M4+tDXlNyj73zHmZxzYIXXotu5bXpOxzd683sDc+B1ZFkg4FDue5Z9lfFBEXTHVe5rG1Ia9J2eeeOS/z2AYh8/wzj60NeU3KPvfMeZnHNgiZ5595bG3Ia1L2uWfOyzy2QejSa9m1vCZln7t7vWG98QKWmZmZmZmZmZml5nNgNUDSMev7eSrzMo+tDXlNyj73zHmZxzYImeefeWxtyGtS9rlnzss8tkHIPP/MY2tDXpOyzz1zXuaxDUKXXsuu5TUp+9zd68nxAlYzNMbPU5mXeWxtyGtS9rlnzss8tkHIPP/MY2tDXpOyzz1zXuaxDULm+WceWxvympR97pnzMo9tELr0WnYtr0nZ5+5eTybIHyE0MzMzMzMzM7PMfARWRZIOlXS5pAclPSDpMknvyJCXeWxtyGtS9rlnzss8tkHIPP/MY2tDXpOyzz1zXuaxDULm+WceWxvympR97pnzMo9tELr0WnYtr0nZ5+5eb2BvIsK3CjfgI8Bi4GBgi3I7GLgKOGYq8zKPrQ15Xe1N9rzMY+t6dzKPrQ15Xe1N9rzMY+t6dzKPrQ15Xe1N9rzMY2tbd7K/ll3La0tvsudlHluTvZnykr1QbsBNwDYjbJ8N/Hwq8zKPrQ15Xe1N9rzMY+t6dzKPrQ15Xe1N9rzMY+t6dzKPrQ15Xe1N9rzMY2tbd7K/ll3La0tvsudlHluTvfFHCOtRRDw8fGNEPJQgL/PY2pDXpOxzz5yXeWyDkHn+mcfWhrwmZZ975rzMYxuEzPPPPLY25DUp+9wz52Ue2yB06bXsWl6Tss/dvd7A3ngBq57HJf328I1l2xNTnJd5bG3Ia1L2uWfOyzy2Qcg8/8xja0Nek7LPPXNe5rENQub5Zx5bG/KalH3umfMyj20QuvRadi2vSdnn7l5vYG+mT/aB9jz/FVgk6e+Ba4AAXgt8EHj/FOdlHlsb8pqUfe6Z8zKPbRAyzz/z2NqQ16Tsc8+cl3lsg5B5/pnH1oa8JmWfe+a8zGMbhC69ll3La1L2ubvXG9gblc8hWgWSdgCOA/Yum5YCCyPivqnOyzy2NuQ1KfvcM+dlHtsgZJ5/5rG1Ia9J2eeeOS/z2AYh8/wzj60NeU3KPvfMeZnHNghdei27ltek7HN3rzewNzFFJ1h7od2Aw4Hj+n6+CrgduA1491TmZR5bG/K62pvseZnH1vXuZB5bG/K62pvseZnH1vXuZB5bG/K62pvseZnH1rbuZH8tu5bXlt5kz8s8tiZ7M+Ule6HcgB8Du/b9fB2wDbAbcPFU5mUeWxvyutqb7HmZx9b17mQeWxvyutqb7HmZx9b17mQeWxvyutqb7HmZx9a27mR/LbuW15beZM/LPLYme+NzYNUzIyLu7vv5R9E76/7Dkjab4rzMY2tDXpOyzz1zXuaxDULm+WceWxvympR97pnzMo9tEDLPP/PY2pDXpOxzz5yXeWyD0KXXsmt5Tco+d/d6Q3sz2ZUv3563wrhsPft+OZV5mcfWhrwmb9nnnjkv89gGccs8/8xja0Nek7fsc8+cl3lsg7hlnn/msbUhr8lb9rlnzss8tkHcuvRadi2vyVv2ubvXG96bF2G1/FTSR4ZvlPRRep/3nMq8zGNrQ16Tss89c17msQ1C5vlnHlsb8pqUfe6Z8zKPbRAyzz/z2NqQ16Tsc8+cl3lsg9Cl17JreU3KPnf3egN746sQViJpe+A7wNPAkrJ5LrAxMD8meKb9mnmZx9aGvCZln3vmvMxjG4TM8888tjbkNSn73DPnZR7bIGSef+axtSGvSdnnnjkv89gGoUuvZdfympR97u71hvfGC1iVSTqYvstERsQlWfIyj60NeU3KPvfMeZnHNgiZ5595bG3Ia1L2uWfOyzy2Qcg8/8xja0Nek7LPPXNe5rENQpdey67lNSn73N3rDcjzApaZmZmZmZmZmWXmc2CZmZmZmZmZmVlqXsAyMzMzMzMzM7PUvIBlZmZmZmZmZmapeQHLzMzMzMzMzMxS8wKWmZmZmZmZmZml9v8DlTFaVj85gL0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Decoder Self Layer 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Decoder Src Layer 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Decoder Self Layer 2\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Decoder Src Layer 2\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Decoder Self Layer 3\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Decoder Src Layer 3\n"
     ]
    },
    {
     "data": {
      "image/png": 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o4NttgBi4bgXws1k8FmZmZmZmZmZmNmKz2cDaH1i1geuumHJsZTk++ba9k8vxXYE7B37urnJspuMAO0XEPQDlzx3L8X2AkHSxpFWSTh+4/Z8BfwM8OnVYSadIuoXmFVjvmGFNZmZmZmZmZmaWyMRcbyBpGc1bBVfTbDbFND8WAIOv2gI0w8/NdHxDJsoML6TZqFoh6QrgfuC5EfFOSXs+LTRiGbBM0u8C7wGO38j9PDl8c26vkwAmJpYwMbFotjc1MzMzMzMzM7N5mM0rsK4Ffn7C9Yg4BXg5sEO57uApP38QcN00OXcBuw98vxtw9waOA/y4vM2Q8udPBrIuiYj7IuJR4KIy468CB0m6DfgGsI+kr00zywU8+XbEWYmIT0TEwRFxsDevzMzMzMzMzMxGZzYbWF8BtpT0toFjW5c/lwEnSDoAQNL2wAdo3qI31XLgTeXTCF8M/Ed5W+DlwFJJe0laSHOC+OUDt5l8ldTxwOfL1xcDz5e0dTmh+6HAdRHx8Yh4dkTsSfMKrR9ExMvKbEsHZjkSuGkWazczMzMzMzMzszHb6FsIIyIkHQ18uJxr6l7gEeDdEXGPpOOAT0paTPN2wLMi4gvQnAOrZJxN8yqp1wA307zt783lurWSTqXZlFoAfDoiri13fyZwoaQTgTuA3y63eUDSh2g2vwK4KCL+ZSNLOVXSK2g+rfABBt4+KOnrwL7AIkl3ASdGxMUbe2zMzMzMzMzMzKx7szoHVnml1DEzXHcpzbmoprtu8JMLg+ZTC6f7uYtoNrimHr+f5u2K093mH4B/2MDMtwG/NPD972/gZ18603VmZmZmZmZmZjZes3kLoZmZmZmZmZmZ2dh4A8vMzMzMzMzMzFLzBpaZmZmZmZmZmaXmDSwzMzMzMzMzM0vNG1hmZmZmZmZmZpZbRPjS0QU4yXnjz+oir+tL5vVnnq0PeV1esq89c17m2UZxybz+zLP1Ia/LS/a1Z87LPNsoLjU9lrXldXnJvvbMeZlnG8WlpsdyU8/zK7C6dZLzUmR1kde1zOvPPFsf8rqUfe2Z8zLPNgqZ1595tj7kdSn72jPnZZ5tFGp6LGvL61L2tWfOyzzbKNT0WG7Sed7AMjMzMzMzMzOz1LyBZWZmZmZmZmZmqXkDq1ufcF6KrC7yupZ5/Zln60Nel7KvPXNe5tlGIfP6M8/Wh7wuZV975rzMs41CTY9lbXldyr72zHmZZxuFmh7LTTpP5URaZmZmZmZmZmZmKfkVWGZmZmZmZmZmlpo3sMzMzMzMzMzMLDVvYJmZmZmZmZmZWWrewGqJpNdK2jJr3pTsvSS9XtK+Q96+s9kG7uP9HeW+sovcYfWpNyU/dXdq6Q30qzvZe1Puo4ru9Kk3JT91d2rpDfSrO9l7U+6jiu70qTclP3V3aukNtPtY1t6bch9VdKem55xae+OTuLdE0mPAI8AXgc8AF0fEugx5kj4XEUeXr48CzgK+Bvwn4C8j4pxxzVbyPjL1EPBG4DyAiHjHsNnT3NcdEbFHW3nzlbk3JS9td2ruDeTuTubelLxqu5O5NyUvbXdq7g3k7k7m3pS8aruTuTclL213au4NtP5YVtObkldtd2p6zqm1N34FVntuAJYClwJ/CNwt6WxJhybIe87A1+8GDo+INwO/BrxzzLMBvB5YAqwErih/rilfXzHXMEnLZ7h8Adh+yBm7krk3kLs7NfcGcncnc2+g7u5k7g3k7k7NvYHc3cncG6i7O5l7A7m7U3NvoN3HsqbeQN3dqek5p87eRIQvLVyAVVO+3xl4B/Bt4M5x5g1mAZdNue7KBGtdTLP7fD6wazl26zx+Fw8ARwKHTrm8DPjxuLvSl95k707Nvcnency9qb07mXuTvTs19yZ7dzL3pvbuZO5N9u7U3JsOHstqelN7d2p6zqm1N2Mv2aZy2VDhgOeMMw9YBzwE/AxYDexcji8Erh73WgduexDwVeCPgNvmkfNF4LAZrrt03F3pS2+iJ92psTcd/a5by+tDb6LS7mTuTfSkOzX2pqPfdWt5fehNVNqdzL2JnnSnxt60/VjW2JuotDs1PefU2hufA6slkl4WEV/LmjfDfWwHPC8ivj3H23U2myQBbwd+NSKO6+I+Muljb8r9bEei7tTWG+hnd7L1pmRX1Z0+9qbcz3Yk6k5tvYF+didbb0p2Vd3pY2/K/WxHou7U1hto97GstTclu6ru1PScU2tvvIFVGUlLgIiIB8Y9y4ZIOjAiVo17DntSH7rj3uTTh96Au5NRH7rj3uTTh96Au5NRH7rj3uTTh96Au5NRH7qTsTc+iXtLJO0r6YuS/kXSL0g6R9KDki6T9Lwh8n4q6e8lvbzsgM5ntj0kXSDpXuC7wOWSflKO7TlE3u8NfL2bpBVlrd+StM8QeQdOvQDLJb2gfD3XvFZ/F13K3JuSl7Y7NfcGcncnc29KRrXdydybkpe2OzX3BnJ3J3NvSka13cncm5KXtjs19wbanbem3pSMartT03NOtb0Z9r2Hvjz9fZzAbwDHArcDx9B89ORvACuGyLsROBX4JvAj4G+BFw8527eB3wEWDBxbUGb8zhB5gyefuxB4K81m6OuGXOt64Fs077WdvDxW/vzKuH8XtfYme3dq7k327mTuTe3dydyb7N2puTfZu5O5N7V3J3Nvsnen5t60PW9Nvam9OzU959Tam7GXbFO5MHASNeDmmco1h7zBQu4BnA6sAm4F3j/HrJuGuW6Ws1010+Mwh7zfAi4BXjNw7IdZfhe19iZ7d2ruTfbuZO5N7d3J3Jvs3am5N9m7k7k3tXcnc2+yd6fm3rQ9b029qb07NT3n1Nobv4WwPQsGvv7QlOsWDpH385coRsQdEfHBiDgQOAJ4Yo5ZV0j6mKQXSXp2ubxI0seAK4eYbTdJH5H0UWAHSZsPXLf5TDeaSUT8E81HbL5S0mcl7QHEEHNNavt30aXMvYHE3am8N5C7O2l7A9V3J3NvIHF3Ku8N5O5O2t5A9d3J3BtI3J3KewPtzltNb6D67tT0nFNlbyaGvaE9zTJJiyLi4Yj42ORBSc8F/m2IvK9OdzAibgTeN8esNwEnltvtSvM/xLuA5cCnhpjtXQNfrwQWAQ9I2rlkzllEPAy8U9ILgHOBxcPkFG3/LrqUuTeQvDsV9wZydyd1b6Dq7mTuDSTvTsW9gdzdSd0bqLo7mXsDybtTcW+g3Xmr6g1U3Z2annOq7I0/hdDSkSRgcUQ8NO5ZrD/cGxuWu2PDcG9sWO6ODcO9sWG5OzaMrL3xBlaLJP1n4Gia3dQA7gY+HxFfmkfebjQnObtt4PjvRcSn55DzrIi4b+D744BDgO8Dn4w5lkDSh4B/johvzuV2G8k8DPhNYHdgLXAT8PcRcXNb91Hu539ExJ+2mTlfWXtTbpO6OzX3BvJ2J3tvSma13cnam3Kb1N2puTeQtzvZe1Myq+1O1t6U26TuTs29gXa7U1NvSma13anlOafW3ngDqyWSzgL2Ac6jeRkgNEV/E80J2X5/jnl/CfwazUnifgM4KyI+Wq5bFc17b2eb9fOfl/Qe4KXA+cB/Ae6KiHfOcbZ7aT5JYAfgH4HPRMQw7/eezDsT2AlYQfNk80PgB8DbaU6O99lhs6e5rzsiYo+28uYrc2+m3iZbd2ruDeTuTubelLxqu5O5N1Nvk607NfcGcncnc29KXrXdydybqbfJ1p2aewPtdqem3pS8artT03NOtb2JFs7270sA/GCG42K4T6O4BpgoX28HXAR8uHx/5Ryzrhz4ehWwTfl6c+CaIWa7svy5FPjvwLXADcD/BPYZZq0DX08A3yxfPxP4/hB5D81w+Rmwdtxd6Utvsnen5t5k707m3tTency9yd6dmnuTvTuZe1N7dzL3Jnt3au5N292pqTe1d6em55xae+NPIWzP45IOmeb4C4HHh8ibiIi1ABHxIM2O77aSPsvcz9q/laQXSDoIWBARj5TcNcC6IWaLcvubIuLPImJ/4A3AljT/o56r9ZKWlK+fTfnEgoh4AJ785Ic5eBBYGhHbTrksBu4ZIq9LmXsDubtTc28gd3cy9wbq7k7m3kDu7tTcG8jdncy9gbq7k7k3kLs7NfcG2u1OTb2BurtT03NOlb3xpxC25wTg45IW8+TLFXen2WU8YYi8WyQdGhGXAETEOuBESX9O877UubiHJz+68qeSdomIeyRtT/Pe1rl6WoEj4mrgauCPh8h7P3ClpBuBfYG3AUjaAfjeEHnnAc8BfjzNdecPkdelE8jbG8jdnZp7A7m7k7k3UHd3TiBvbyB3d2ruDeTuTubeQN3dOYG8vYHc3am5N9Bud2rqDdTdnROo5zmnyt74HFgtU/OxlT//SMyI+Pchc7YCiIjHprlu14j40bwGbXIWAFtExKNzvN2iaD5iszVlt3dv4Oayu12VPvWmZKXoTu29gX51J0tvSmbV3elTb0pWiu7U3hvoV3ey9KZkVt2dPvWmZKXoTu29gXa6U1tvSmbV3anhOafW3ngDqyWSFgJrojygas7gfyBwbQz5iQcl52AGPgUgIm5oY96B/H3nmrmBtV4XEV8c93zldqL5RIfBT5+4LJIVvq+9KfeRtjubem+gv93J3Jth5yu360V3+tqbch9pu7Op9wb6253MvRl2vnK7XnSnr70p95G2O5t6b6Cb7tTem2HnK7frRXdqes6ptTfewGqJpO8BL4uIByS9C3gdzXtPDwVWRsScXsYn6VDgb2jeO3oQ8E2aE6itAd4YEXe2NPecPwGg7bV2MN+rgI/RfOzn5K74bsBzgbdHxL+2Nd989bU35b7SdmdT7w30tzuZezOP+XrTnb72ptxX2u5s6r2B/nYnc2/mMV9vutPX3pT7StudTb030O5j6d7Me77edKem55xae+MNrJZI+n5E/FL5eiXw0oh4TNIEsCoinj/HvCuBV0XEvZL2Aj4UEa+T9ErgXRHxqjlkfWSmq4DjI2LbOc7W9lrbnu964IiIuG3K8b2AiyLieXPJ61Lm3pS8tN2puTeQuzuZe9PRfL3pTubelLy03am5N5C7O5l709F8velO5t6UvLTdqbk30PpjWU1vOpqvN92p6Tmn1t74Uwjb85CkXypf30dz9n9oTpQ/zOO8ICLuLV/fQXMCNCLiyzQvwZuLNwPfB66YclkJrB5itrbX2vZ8Ezx50r5BP6L5iNJMMvcGcnen5t5A7u5k7k0X8/WpO5l7A7m7U3NvIHd3Mvemi/n61J3MvYHc3am5N9DuY1lTb7qYr0/dqek5p8re+FMI23My8H/UvJTvJ8BKSZcAz6c5o/9crZT0KWAFcBTwNQBJW1M+0nIOLge+HxHfmnqFpPcOMVvba217vk8Dl0u6AJh8WefuwDHAp4bI61Lm3kDu7tTcG8jdncy96WK+PnUnc28gd3dq7g3k7k7m3nQxX5+6k7k3kLs7NfcG2n0sa+pNF/P1qTs1PedU2Ru/hbBFaj494FXAPjy543hxDHEGf0mbA28B9qP52MpPR8Q6NZ+EsGNE3D6HrCXA4zHHT8TYSGaba+1ivv2A1zLw6RPA8oi4rq37aEvW3pS8tN2pvTeQtzuZe9PhfL3pTtbelLy03am9N5C3O5l70+F8velO1t6UvLTdqb030OpjWU1vOpyvN92p6Tmnxt54A8vMzMzMzMzMzFLzObBaIukZks6UdIOk+8vl+nJsu3nkXT/fPEk7S/q4pGWStpf0XknXSLpQ0i5znW0j9zXnj+yUtErSeyT9QksztPq76FLm3pS8tN2puTeQuzuZe1NuU213Mvem5KXtTs29gdzdydybcptqu5O5NyUvbXdq7g20O29NvSm3qbY7fs75+f1ssr3xBlZ7LgQeoPkoy+0jYnvgsHLss/PIO6yFvHOA62jee/pV4DHgSODrwNlzHUzSgTNcDgIOmGsezUeRbgd8VdJlkt4p6dlD5Eya6XfxIMP9LrqUuTeQuzs19wZyd+cc8vYG6u5O5t5A7u7U3BvI3Z1zyNsbqLs7mXsDubtTc2+g3e7U1BuouzvVPOfU2hu/hbAlkm6MiF+c63WjyJN0ZUS8oHx9R0TsMXDdVRFxwBxnWwdcQvM+1qleHBFbzTFvVUQcWL5+KXAs8HrgeuAzEfGJOea1+rvoUubelNuk7U7NvYHc3cncm5JXbXcy96bcJm13au4N5O5O5t6UvGq7k7k35TZpu1Nzb6D154hqelPyqu1OTc85tfbGr8Bqz+2STpe00+QBSTtJejdPnnV/XHmDv+fzNnDdbF0PvDUiDpt6ofkIz6FFxNcj4u00J3r7APCrQ8S0/bvoUubeQE+6U2FvIHd3etEbqLI7mXsDPelOhb2B3N3pRW+gyu5k7g30pDsV9gbanbfK3kCV3anpOafK3ngDqz2/A2wPXCLpAUkP0HzM5hLgDWPO+7ykRQAR8Z7Jg5KeC/xgiNney8zd+a9D5D1thohYFxFfiog3D5HX9u+iS5l7A7m7U3NvIHd3MveG6WaoqDuZewO5u1NzbyB3dzL3hulmqKg7mXsDubtTc2+g3Xlr6g3TzVBRd2p6znkvFfbGbyE0MzMzMzMzM7PUJsY9wKZE0r7AUTQvtQvgbmB5RFw/7rzMs/Uhr0vZ1545L/Nso5B5/Zln60Nel7KvPXNe5tlGIfP6M8/Wh7wuZV975rzMs41CTY9lbXldyr5293p+vfFbCFui5r2cF9CcRO0y4PLy9WcknTHOvMyz9SGvS9nXnjkv82yjkHn9mWfrQ16Xsq89c17m2UYh8/ozz9aHvC5lX3vmvMyzjUJNj2VteV3Kvnb3uoXeRIQvLVxo3jO6+TTHFwI3jTMv82x9yKu1N9nzMs9We3cyz9aHvFp7kz0v82y1dyfzbH3Iq7U32fMyz9a37mR/LGvL60tvsudlnq3L3vgVWO1ZDzx7muO7lOvGmZd5tj7kdSn72jPnZZ5tFDKvP/NsfcjrUva1Z87LPNsoZF5/5tn6kNel7GvPnJd5tlGo6bGsLa9L2dfuXs+zNz4HVntOA1ZIuoknPxZyD+C5wKljzss8Wx/yunQaudeeOS/zbKNwGnnXn3m2PuR16TRyrz1zXubZRuE08q4/82x9yOvSaeRee+a8zLONwmnU81jWltel08i99jbzMs/WRR6AP4WwTZI2Aw6hOUmZgLuAyyNi3bjzMs/Wh7wuZV975rzMs41C5vVnnq0PeV3KvvbMeZlnG4XM6888Wx/yupR97ZnzMs82CjU9lrXldSn72t3r+fXGr8BqUUSsl/RDYDXlLPvz+eW0mZd5tj7kdSn72jPnZZ5tFDKvP/NsfcjrUva1Z87LPNsoZF5/5tn6kNel7GvPnJd5tlGo6bGsLa9L2dfuXs+vN34FVkskHQCcDTyDZmdRwG7Ag8DbI2LVuPIyz9aHvC5lX3vmvMyzjULm9WeerQ95Xcq+9sx5mWcbhczrzzxbH/K6lH3tmfMyzzYKNT2WteV1Kfva3esWehNj+HSATfECXAW8aJrjLwa+N868zLP1Ia/W3mTPyzxb7d3JPFsf8mrtTfa8zLPV3p3Ms/Uhr9beZM/LPFvfupP9sawtry+9yZ6XebYue+NPIWzPNhHx3akHI+I7wDZjzss8Wx/yupR97ZnzMs82CpnXn3m2PuR1KfvaM+dlnm0UMq8/82x9yOtS9rVnzss82yjU9FjWltel7Gt3r+fZG58Dqz1flPQvwHk8eZb93YE3AV8ac17m2fqQ16Xsa8+cl3m2Uci8/syz9SGvS9nXnjkv82yjkHn9mWfrQ16Xsq89c17m2UahpseytrwuZV+7ez3P3vgcWC2SdARwFE89y/7yiLho3HmZZ+tDXpeyrz1zXubZRiHz+jPP1oe8LmVfe+a8zLONQub1Z56tD3ldyr72zHmZZxuFmh7L2vK6lH3t7vX8euMNLDMzMzMzMzMzS83nwOqApJM29P048zLP1oe8LmVfe+a8zLONQub1Z56tD3ldyr72zHmZZxuFzOvPPFsf8rqUfe2Z8zLPNgo1PZa15XUp+9rd6+F4A6sb2sj348zLPFsf8rqUfe2Z8zLPNgqZ1595tj7kdSn72jPnZZ5tFDKvP/NsfcjrUva1Z87LPNso1PRY1pbXpexrd6+HCfJbCM3MzMzMzMzMLDO/AqtFko6QdKmk+yTdK+kSSa/JkJd5tj7kdSn72jPnZZ5tFDKvP/NsfcjrUva1Z87LPNsoZF5/5tn6kNel7GvPnJd5tlGo6bGsLa9L2dfuXs+zNxHhSwsX4C3ASuBwYNtyORy4DDhpnHmZZ+tDXq29yZ6Xebbau5N5tj7k1dqb7HmZZ6u9O5ln60Nerb3Jnpd5tr51J/tjWVteX3qTPS/zbF32Zuwl21QuwHXAkmmObw9cP868zLP1Ia/W3mTPyzxb7d3JPFsf8mrtTfa8zLPV3p3Ms/Uhr9beZM/LPFvfupP9sawtry+9yZ6XebYue+O3ELZHEfHTqQcj4v4EeZln60Nel7KvPXNe5tlGIfP6M8/Wh7wuZV975rzMs41C5vVnnq0PeV3KvvbMeZlnG4WaHsva8rqUfe3u9Tx74w2s9jwk6VemHizHfjbmvMyz9SGvS9nXnjkv82yjkHn9mWfrQ16Xsq89c17m2UYh8/ozz9aHvC5lX3vmvMyzjUJNj2VteV3Kvnb3ep69mRj2hvY0fwgsl/S/gSuAAF4IHA8cN+a8zLP1Ia9L2deeOS/zbKOQef2ZZ+tDXpeyrz1zXubZRiHz+jPP1oe8LmVfe+a8zLONQk2PZW15Xcq+dvd6nr1ReR+itUDSTsApwP7l0LXAsoj48bjzMs/Wh7wuZV975rzMs41C5vVnnq0PeV3KvvbMeZlnG4XM6888Wx/yupR97ZnzMs82CjU9lrXldSn72t3refYmxnSCtU3tAhwFnDLw/WXAD4Fbgd8aZ17m2fqQV2tvsudlnq327mSerQ95tfYme17m2WrvTubZ+pBXa2+y52WerW/dyf5Y1pbXl95kz8s8W5e9GXvJNpUL8E1g94HvrwKWAHsAK8aZl3m2PuTV2pvseZlnq707mWfrQ16tvcmel3m22ruTebY+5NXam+x5mWfrW3eyP5a15fWlN9nzMs/WZW98Dqz2LIyIOwe+/0Y0Z93/qaRtxpyXebY+5HUp+9oz52WebRQyrz/zbH3I61L2tWfOyzzbKGRef+bZ+pDXpexrz5yXebZRqOmxrC2vS9nX7l7PtzfD7nz58rQdxps3cN0t48zLPFsf8rq8ZF975rzMs43iknn9mWfrQ16Xl+xrz5yXebZRXDKvP/Nsfcjr8pJ97ZnzMs82iktNj2VteV1esq/dvZ5/bzbD2vJdSW+ZelDSW2ne7znOvMyz9SGvS9nXnjkv82yjkHn9mWfrQ16Xsq89c17m2UYh8/ozz9aHvC5lX3vmvMyzjUJNj2VteV3Kvnb3ep698acQtkTSjsDngCeAVeXwQcAWwNExxzPtt5mXebY+5HUp+9oz52WebRQyrz/zbH3I61L2tWfOyzzbKGRef+bZ+pDXpexrz5yXebZRqOmxrC2vS9nX7l7PvzfewGqZpMMZ+JjIiPhKlrzMs/Uhr0vZ1545L/Nso5B5/Zln60Nel7KvPXNe5tlGIfP6M8/Wh7wuZV975rzMs41CTY9lbXldyr5293oeed7AMjMzMzMzMzOzzHwOLDMzMzMzMzMzS80bWGZmZmZmZmZmlpo3sMzMzMzMzMzMLDVvYJmZmZmZmZmZWWrewDIzMzMzMzMzs9T+P+mecClRZUdDAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "MODEL_SIZE = 64\n",
    "NR_HEADS = 8\n",
    "NR_LAYERS = 3\n",
    "DROPOUT = 0.3\n",
    "SIZE_FF = 4 * MODEL_SIZE\n",
    "\n",
    "model = TransformerGO_Scratch(MODEL_SIZE, NR_HEADS, NR_LAYERS, SIZE_FF, DROPOUT)\n",
    "model.load_state_dict(torch.load(r'saved-models/model-yeast-stringDB-benchmark-noMirror.pt'))\n",
    "model = model.to(device)\n",
    "\n",
    "model.eval()\n",
    "with torch.no_grad():\n",
    "    for batch in train_grt:\n",
    "            \n",
    "        #padded pairs: tensor of shape N * 2(protein pair) * L(longest seq) * Emb dim\n",
    "        padded_pairs = batch[0].to(device)\n",
    "        labels = batch[1].to(device)\n",
    "        mask = batch[2].to(device)\n",
    "        batch_ids = batch[3]\n",
    "        \n",
    "        #swap seqLen with batch to fit the transformer\n",
    "        gosetA_batch = padded_pairs[:,0]\n",
    "        gosetB_batch = padded_pairs[:,1]\n",
    "            \n",
    "        protA = batch_ids[0][0][1]\n",
    "        protB = batch_ids[0][1][1]\n",
    "        print(f\"Annotations of protein {batch_ids[0][0][0]}:\", protA , '\\n')\n",
    "        print(f\"Annotations of protein {batch_ids[0][1][0]}:\", protB )\n",
    "        predictions = model(gosetA_batch[0].unsqueeze(0), gosetB_batch[0].unsqueeze(0), mask[0,0].unsqueeze(0), mask[0,1].unsqueeze(0)).squeeze(1)\n",
    "        break\n",
    "\n",
    "def draw(data, x, y, ax):\n",
    "    data = data.cpu().numpy()\n",
    "    seaborn.heatmap(data, \n",
    "                    xticklabels=x, square=True, yticklabels=y, vmin=0.0, vmax=1.0, \n",
    "                    cbar=False, ax=ax)\n",
    "    \n",
    "for layer in range(0, 3):\n",
    "    fig, axs = plt.subplots(1,8, figsize=(20, 10))\n",
    "    print(\"Encoder Layer\", layer+1)\n",
    "    for h in range(8):\n",
    "        draw(model.encoder.layers[layer].self_attn.attn[0, h].data[:len(protA), :len(protA)], \n",
    "            protA, protA if h == 0 else [], ax=axs[h])\n",
    "    plt.show()\n",
    "\n",
    "for layer in range(0,3):\n",
    "    fig, axs = plt.subplots(1,8, figsize=(20, 10))\n",
    "    print(\"Decoder Self Layer\", layer+1)\n",
    "    for h in range(8):\n",
    "        draw(model.decoder.layers[layer].self_attn.attn[0, h].data[:len(protB), :len(protB)], \n",
    "            protB, protB if h == 0 else [], ax=axs[h])\n",
    "    plt.show()\n",
    "    print(\"Decoder Src Layer\", layer+1)\n",
    "    fig, axs = plt.subplots(1,8, figsize=(20, 10))\n",
    "    for h in range(8):\n",
    "        draw(model.decoder.layers[layer].src_attn.attn[0, h].data[:len(protB), :len(protA)], \n",
    "            protA, protB if h == 0 else [], ax=axs[h])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "55638dd2-a479-4ff4-8dd5-47d7652de1e6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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