notebooks/transformer/transformer.ipynb

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   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
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    "name": "ipython",
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  "colab": {
   "name": "transformer.ipynb",
   "provenance": []
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  "accelerator": "GPU"
 },
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "id": "_kZBa_gQiFcQ"
   },
   "source": [
    "# The O.G. Transformer"
   ]
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Run on Colab:\n",
    "\n",
    "Launch this link to run this on colab [here](https://colab.research.google.com/github/will-thompson-k/deeplearning-nlp-models/blob/master/notebooks/transformer/transformer.ipynb)."
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "id": "drlFdII6iFcX"
   },
   "source": [
    "## Colab Setup\n",
    "\n",
    "You can skip this section if not running on Google's colab."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "id": "t4OM6_HZiFcY"
   },
   "source": [
    "If running with GPUs, sanity check that the GPUs are enabled."
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "id": "lnr0izF6iFcZ"
   },
   "source": [
    "!nvidia-smi"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "id": "MsQpvDYJiFcZ",
    "outputId": "f4b7e439-480d-49fc-acd6-d14206705fb1",
    "colab": {
     "base_uri": "https://localhost:8080/"
    }
   },
   "source": [
    "import torch\n",
    "torch.cuda.is_available()"
   ],
   "execution_count": 2,
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "metadata": {
      "tags": []
     },
     "execution_count": 2
    }
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "id": "hLYfAP4LiFca"
   },
   "source": [
    "Should be True. If not, debug (Note: version of pytorch I used is not capatible with CUDA drivers on colab. Follow these instructions here explicitly)."
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "id": "b5SbbkFTiFca",
    "outputId": "327d9932-a08a-4ff8-93d4-7eda517c49a2",
    "colab": {
     "base_uri": "https://localhost:8080/"
    }
   },
   "source": [
    "!pwd"
   ],
   "execution_count": 3,
   "outputs": [
    {
     "output_type": "stream",
     "text": [
      "/content\n"
     ],
     "name": "stdout"
    }
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "id": "0qKEWYU2iFca"
   },
   "source": [
    "This should be \"/content\" on Colab."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "id": "-ReHPcSXiFca"
   },
   "source": [
    "First, if running from colab, you must install the package. (You may skip if you installed already)."
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "id": "vCQXLfuOiFcb"
   },
   "source": [
    "!git clone https://github.com/will-thompson-k/deeplearning-nlp-models.git\n",
    "%cd deeplearning-nlp-models"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "id": "kDJXsKC9jDfu"
   },
   "source": [
    "! pip install torchtext==0.8.0"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "id": "AI7uls-BiFcb"
   },
   "source": [
    "!python setup.py install"
   ],
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "id": "rNVw3VxQiFcb"
   },
   "source": [
    "## Imports\n",
    "\n",
    "Here are the packages we need to import."
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "collapsed": true,
    "id": "2ES_C0hMiFcc"
   },
   "source": [
    "from nlpmodels.models import transformer\n",
    "from nlpmodels.utils import train,utils\n",
    "from nlpmodels.utils.elt import transformer_dataset\n",
    "from argparse import Namespace\n",
    "utils.set_seed_everywhere()"
   ],
   "execution_count": 6,
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    },
    "id": "uKKLjM92iFcc"
   },
   "source": [
    "## Language Translation: German to English\n",
    "\n",
    "We will try to train our transformer model to learn how to translate German -> English using the Multi30k data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "id": "rkO7qG-viFcc"
   },
   "source": [
    "### Hyper-parameters\n",
    "\n",
    "These are the data processing and model training hyper-parameters for this run. Note that we are running a smaller model\n",
    "than cited in the paper for fewer iterations."
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "pycharm": {
     "name": "#%% Parameters\n"
    },
    "id": "swD3QKHFiFcc"
   },
   "source": [
    "args = Namespace(\n",
    "    # Model hyper-parameters\n",
    "    num_layers_per_stack = 6, #original value = 6\n",
    "    dim_model = 512,\n",
    "    dim_ffn = 2048,\n",
    "    num_heads = 8,\n",
    "    max_sequence_length = 20, #original value = 1000\n",
    "    dropout = 0.1,\n",
    "    # Label smoothing loss function hyper-parameters\n",
    "    label_smoothing = 0.1,\n",
    "    # Training hyper-parameters\n",
    "    num_epochs=30,\n",
    "    learning_rate=0.0,\n",
    "    batch_size = 64,\n",
    ")"
   ],
   "execution_count": 7,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "id": "X8PzKJ4uiFcd"
   },
   "source": [
    "train_dataloader, vocab_source, vocab_target = transformer_dataset.TransformerDataset.get_training_dataloader(args)\n",
    "vocab_source_size = len(vocab_source)\n",
    "vocab_target_size = len(vocab_target)\n",
    "model = transformer.Transformer(vocab_source_size, vocab_target_size,\n",
    "                                args.num_layers_per_stack, args.dim_model,\n",
    "                                args.dim_ffn, args.num_heads, args.max_sequence_length,\n",
    "                                args.dropout)\n",
    "trainer = train.TransformerTrainer(args, vocab_target_size, vocab_target.mask_index, model, train_dataloader)"
   ],
   "execution_count": 8,
   "outputs": []
  },
  {
   "cell_type": "code",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "id": "Mt-Xn-66iFce",
    "outputId": "228d6742-c8b3-4b1e-a513-b20807cfabd5",
    "colab": {
     "base_uri": "https://localhost:8080/"
    }
   },
   "source": [
    "trainer.run()\n"
   ],
   "execution_count": 9,
   "outputs": [
    {
     "output_type": "stream",
     "text": [
      "[Epoch 0]: 100%|██████████| 437/437 [01:02<00:00,  6.95it/s, loss=574]\n",
      "[Epoch 1]: 100%|██████████| 437/437 [01:06<00:00,  6.60it/s, loss=168]\n",
      "[Epoch 2]: 100%|██████████| 437/437 [01:05<00:00,  6.62it/s, loss=85.6]\n",
      "[Epoch 3]: 100%|██████████| 437/437 [01:06<00:00,  6.59it/s, loss=86.8]\n",
      "[Epoch 4]: 100%|██████████| 437/437 [01:06<00:00,  6.60it/s, loss=71.4]\n",
      "[Epoch 5]: 100%|██████████| 437/437 [01:06<00:00,  6.61it/s, loss=86.5]\n",
      "[Epoch 6]: 100%|██████████| 437/437 [01:05<00:00,  6.64it/s, loss=88.7]\n",
      "[Epoch 7]: 100%|██████████| 437/437 [01:05<00:00,  6.64it/s, loss=68.8]\n",
      "[Epoch 8]: 100%|██████████| 437/437 [01:05<00:00,  6.65it/s, loss=79.1]\n",
      "[Epoch 9]: 100%|██████████| 437/437 [01:05<00:00,  6.64it/s, loss=66]\n",
      "[Epoch 10]: 100%|██████████| 437/437 [01:05<00:00,  6.65it/s, loss=61.9]\n",
      "[Epoch 11]: 100%|██████████| 437/437 [01:05<00:00,  6.65it/s, loss=71.2]\n",
      "[Epoch 12]: 100%|██████████| 437/437 [01:05<00:00,  6.65it/s, loss=46.6]\n",
      "[Epoch 13]: 100%|██████████| 437/437 [01:05<00:00,  6.64it/s, loss=83.7]\n",
      "[Epoch 14]: 100%|██████████| 437/437 [01:05<00:00,  6.64it/s, loss=82.9]\n",
      "[Epoch 15]: 100%|██████████| 437/437 [01:05<00:00,  6.65it/s, loss=38.9]\n",
      "[Epoch 16]: 100%|██████████| 437/437 [01:05<00:00,  6.65it/s, loss=80.8]\n",
      "[Epoch 17]: 100%|██████████| 437/437 [01:05<00:00,  6.65it/s, loss=53.7]\n",
      "[Epoch 18]: 100%|██████████| 437/437 [01:05<00:00,  6.65it/s, loss=50.7]\n",
      "[Epoch 19]: 100%|██████████| 437/437 [01:06<00:00,  6.61it/s, loss=23.7]\n",
      "[Epoch 20]: 100%|██████████| 437/437 [01:06<00:00,  6.62it/s, loss=100]\n",
      "[Epoch 21]: 100%|██████████| 437/437 [01:05<00:00,  6.62it/s, loss=27]\n",
      "[Epoch 22]: 100%|██████████| 437/437 [01:06<00:00,  6.62it/s, loss=45.8]\n",
      "[Epoch 23]: 100%|██████████| 437/437 [01:06<00:00,  6.62it/s, loss=40.2]\n",
      "[Epoch 24]: 100%|██████████| 437/437 [01:05<00:00,  6.63it/s, loss=56.1]\n",
      "[Epoch 25]: 100%|██████████| 437/437 [01:05<00:00,  6.65it/s, loss=34.1]\n",
      "[Epoch 26]: 100%|██████████| 437/437 [01:05<00:00,  6.68it/s, loss=30.7]\n",
      "[Epoch 27]: 100%|██████████| 437/437 [01:05<00:00,  6.68it/s, loss=57.7]\n",
      "[Epoch 28]: 100%|██████████| 437/437 [01:05<00:00,  6.69it/s, loss=25.8]\n",
      "[Epoch 29]: 100%|██████████| 437/437 [01:05<00:00,  6.69it/s, loss=33.4]"
     ],
     "name": "stderr"
    },
    {
     "output_type": "stream",
     "text": [
      "Finished Training...\n"
     ],
     "name": "stdout"
    },
    {
     "output_type": "stream",
     "text": [
      "\n"
     ],
     "name": "stderr"
    }
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    },
    "id": "t6NBGIILiFce"
   },
   "source": [
    "# Attention Plots\n",
    "\n",
    "Once the model is trained, we can examine the attention plots for self-attention (encoder, decoder) and the encoder-decoder\n",
    "attention to see if there is structure the model is learning.\n"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "id": "nConPJEziFcf",
    "outputId": "8c6c3225-33e7-447b-fe49-17a747783983",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    }
   },
   "source": [
    "import seaborn\n",
    "import matplotlib.pyplot as plt\n",
    "source = ['zwei', 'junge', 'weiße', 'männer', 'sind', 'im', 'freien', 'in', 'der', 'nähe', 'vieler', 'büsche']\n",
    "target = ['two', 'young', 'white', 'males', 'are', 'outside', 'near', 'many', 'bushes']\n",
    "def draw(data, x, y, ax):\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(5):\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_block._layers[layer]._self_attention._attention_tensor[0, h].data.cpu(),\n",
    "            source, source if h ==0 else [], ax=axs[h])\n",
    "    plt.show()\n",
    "\n",
    "for layer in range(5):\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_block._layers[layer]._self_attention._attention_tensor[0, h].data[:len(target), :len(target)].cpu(),\n",
    "            target, target 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_block._layers[layer]._self_attention._attention_tensor[0, h].data[:len(target), :len(source)].cpu(),\n",
    "            source, target if h ==0 else [], ax=axs[h])\n",
    "    plt.show()"
   ],
   "execution_count": 12,
   "outputs": [
    {
     "output_type": "stream",
     "text": [
      "Encoder Layer 1\n"
     ],
     "name": "stdout"
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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Gfjnh68nM04HTARZttuvcuxOdJEmSJEnSgOrVAtODLe8vAJ6YmWtaN2hZTNrUNq0d5UaZp13kpG5quqGvXVeG35Iol8gojgLr1jR9RvNIu13ktt58i+L4Q+vXFsfVXUsWLp40tnZk0sndU7p57d1dmUtTF7l2/6dvy4WbF8e3/uuz29yT5HGONs2zEaTe6FoXuSmcDbxh/IOIOHg620TEhbMwN0mS5j27yEmSJGmmZmOB6Y3AYRFxVURcC7xmOttk5lGzMDdJkiRJkiTNUNcuN8vMFfW7fzNh/C7gRYXtVwIrm7aJiAcyc6uIeHJEfA+4q57v30fES7LpnGxJkiRJkiTNqtk4g6kbHg/8CbAfsCdw9MQNIuLkiLgkIi4ZG3tw4qclSZIkSZLUI8OywPTDzPxlZo4BVwArJm6Qmadn5mGZediCBVvO+gQlSZIkSZLmq2HpyGYnOamL7KIyd63Jkfa+YLMlvZmI5rT1o23mTF21fmx00li22RNp8YKF3ZpOV6wZK3fBu/9jLy2OL3vlJ3s5HQ2JCV2pH+ZxjiT1x8CcwRQRfxMRp/R7HpIkSZIkSWrPwCwwtWlY5y1JkiRJkjTn9HWhJiLeFhE/jojzgX3qsb0i4pvADRFxHnBHZj4rIlZGxEeAw4H9+zhtSZIkSZIktejbvYwi4lDgxcDB9TwuAy4FTgdek5k/iYgnAP8GPLX+skcBR2XmpJsPRMTJwMkAsXAbvNG3JEmSJEnS7OjnzbKPBc7IzIcAIuJMYAlwFPCFlpv2bd7yNV8oLS5B1UWOanGKRZvt2t6dLiVJkiRJktSxQevGtgBYlZkHN3z+wens5Hm7HDZpbLShu8qZt19ankhDV4rM8n56vaL1suVHFcc/efA7evzM88fJy48ujt/f0JXrs7f/oJfT6YqXLj+yOL5vljuHvfX27/ZyOnPW7+1y6KSxsYZtz/711cXxzRaWy/FIoVsUwFhDLTrnrmvL+1+0uDi+/W//eXG8VEcBtonyflbedlFxXN2zecPPcO1IuftWk0WF7mHfe9xftbWP05ceUhx//upz2tqPOrP3sl0njY02VJ3L7/pZcfze9eVDql2XbV8cX0D5uGg0m6pde36y6tbi+NF/cV5X9i94duG1CmBxwx0zzr77muL4ooXT70DYdNy8pqFuLVxQnkvTfp62/eOK478ZW10cP//O64rjmtpJhePJtQ2/+8NwfAzwwl2OKI7/X/+26po/2OUJbW0/DNl5zfJjiuMfONTcjJv1ezBFxPKI+CJwC/D6iFgaEcuAVwJ7ATdFxAn1thERB832HCVJkiRJkjR9s34GU2beBrwAICL2Ba4E7gTuqjc5EfhwRLwdWAx8rt5GkiRJkiRJA6hnC0wRsQL4BnA+1X2VbgWeC/xv4BXAZsBPgYMz86GIWAncB3wGeCTwlsz8Yr2vNwOPAw6JiAMy89RezVuSJEmSJEnt6fUlco8B/jUzHwesAp5PdaPuwzPzIOA6qsWmcbsAxwDPAv4RICKeUe/nCKqOc4dGxJMmPlFEnBwRl0TEJTc+cHMPvyVJkiRJkiS16vUC002ZeUX9/qXACmD/iDgvIq6muhyu9e58X8nMscy8Fti5HntG/bgcuAzYl2rBaSOZeXpmHpaZh+251YqefDOSJEmSJEmarNf3YFrb8v4osBRYCfxeZl4ZEScBT27YPlrevjszPzrdJz3j9ksmjR2z02On++VAc4emfhlp6A7z6jvt+tUtd+Saruxn2yVbFsdHx8o/w/vXlTudLFm02YznsirXFccvpdwZT525cd09k8bWjpU75KwZKf9Mmsb75cEsz//jx5d/T1Z+opezmZuO2nHftra/8NfXd+V5S50J/9dvzm9rH8+/p9wt7sTlTyyOv21puWPZfj8rd1XU1Er1Zayhn+0eW+9cHP/5fb9q6zl3W7ZDcXxhtPd/ldGw/eO226Ot/ah9946W6/c5d/6oOL790mXF8cVtdD1t6m64pKErZrTZxfn+huOcpQ0dT9WZa9bdNWlsJMtdbofFXQ2dBl909Kri+OvO6OVs5qafrJ98fAzDnZ07spybU/e+ozj+1tt7OZvB1OszmBbVHeNaLQNuj4jFVGcwbRUR5T6olbOAl0fEVgARsWtE7NSb6UqSJEmSJKldvT6DaSQzXzBh7K+BHwC/rt/uMtUOMvPsiHgscFH9vxoPAC+h6jwnSZIkSZKkPuvaGUwR8Y8R8bqWoZOAlS1nJ30A2BJ4OXA/8PHMfANwCkBmngScERHvjYiLgRsj4tX1115JdZPwm4DtM/Nn3Zq3JEmSJEmSZqabl8j9J/DClo9fSHWG0rhXAPdm5uHA4cCrIuLRE/Yx1TaHAG/KzL1LT97aRW5srHyvB0mSJEmSJHVf1y6Ry8zLI2KniFgO7Aj8BrilZZNnAAdGxPglc9tQdYP78TS2WQf8MDNvmuL5TwdOB1i02a6DdYduSZIkSZKkOSyaujIUN45YAXwtM/efML4t8B/A9cBTgf8G7gDOHN8+Ir4EnJ6ZZ5X2CdxF1WnutMI2TwZOycxnTWee82mBafVt5xXHly4/dpZnMjtG1t1abi/SBebG3HRqkLLT1MXrs7f/oDh+75dPKY4ve957uzanYTZfak67NaFbncnmql7XnJ232XdSdu5r6Ei6frTcNfTxO+xVHL/8ru7chaDdf4DHbrd7cfyi15fnuc3fzs0uur3MzuZLdivWnLGGLrcDU6A64HFOdw3S61W3LGjoWPjgrecWx+didsxN91hzNujKJXKZuSozfwf4OPAQ8ALgCxM2Owv447p7HBGxd0RM7Of+/WlsI0mSJEmSpAHSyQLTooj4TERcFxFfjIgtIuLmiNghM38E7ATsmJm3A08A9oqIK4A/Bn4KXBYRdwCXUS0o/UXrvoEjgAci4kbgo8BmwGuAYyLiqpYbf0uSJEmSJGkAdLLAtA/wb5n5WOA+4LUTPv9iqq5vAC8BjsvMg4Fjgb8E3gLcCOyUmQcAb2u55G5RZi4HngfcmJlPAU4ArsnMbWm+ObgkSZIkSZL6pJMFplsy84L6/U8Dx0yx7QXA+yPijcC2mTkCHAd8IjMfAsjMe1q2/3L99lJgRf3+M4CX1mdB/QDYnurG3xuxi5wkSZIkSVJ/dNJFbuLNuhIYYcNi1ZKHP5H5jxHxdeB3gAsi4pmb2Pfa+u1oy9wCeMPEG39PmpRd5CRJkiRJkvqikwWm3SPiyMy8CPhD4HxgGXAo8A3g+eMbRsRemXk1cHVEHA7sC3wLeEdEfCYzH4qI7SacxTTR+M3B/ycz10fE3sCtmTmvTlPq6S3+Ne/M1Y4Ggi1YWBwfa+oY+sC9PZyNhkU2dCBrYre4/rp79f2TxjZftLi4bVOnpB0WdqeHypJFmxXH14ysK44vWlCuUaNZ7mS29tJbOpuYJmn6Wa0dWV8cHxkb7eV0umL5VtsVx3PNvPozQZIGRieXyN0AvC4irgMeAXwYeCfwwYi4hOrso3F/EhHXRMRVwHrgG5n5TeBM4JL6srdyj+wNPgZcS3Vz8GuobvzdycKYJEmSJEmSeqCthZrMvJnqLKSJzgP2Lmz/hob9/CPwjxPGntzy/l3U92DKzDHgrfVDkiRJkiRJA6aTM5gkSZIkSZKkh7nAJEmSJEmSpBlxgUmSJEmSJEkz4s2yh5zdwCRNR1PnJqkTB27/6OL4VXffNMszmZ9KnbNWrS13zVrX0EFy1diarsylqdNYU/e6sYZuccsWLi2OL9zK2tUt60ZHiuNNP5Nh8NDI2uJ4LOlOl0TNXdlQG/3bSpoZz2CSJEmSJEnSjLjAJEmSJEmSpBlxgUmSJEmSJEkz4gKTJEmSJEmSZsQFJkmSJEmSJM2IXeSGxIIF5bXAB355TnHcDgiayurbziuOm5vht5hy56Zo6OjE2u50ktKQW1PuQNZk8wWLezQRTcfCmHxM0Pg73uCh0XL3rW4Za+jQ1NRdrkkssYtctzR1zWoaHwajY8PbAW+YtPNbOyxp8m8rqTc8g0mSJEmSJEkz4gKTJEmSJEmSZsQFJkmSJEmSJM2IC0ySJEmSJEmaEReYJEmSJEmSNCN2kRsSY3bJkDQNqynXirFsqCFbbNnD2WhYxNY7tLX9fSMP9Wgmmo7Vo+smjT24rtwRsqn7046Ll3VlLgsbOjFlm72kHhpr6Go3ZsfCbmnqNNg0Pgzd5ZryJ23KMORbGkZWZUmSJEmSJM2IC0ySJEmSJEmaEReYJEmSJEmSNCMuMEmSJEmSJGlGXGCSJEmSJEnSjMRcvIP+cbs9c9I3NZKjxW3Pv/O6ns+nG05c/sTi+Gdu+/4sz6S/Rtbd2tQQZ8ZeteKE4i/DaEMnnE/fXv63X7hgYXF8/ehIW/MpfaPtdnr5o+VHFseXNKwtn37bBdOa27DpZW4Ajlj+25N+AGvH1he3/dE9P+/lVLrmdx/5+OL4ysMfKI7v+NWf9HI6fdPL7Jywx3PbegE+4/ZLejWVrnnV8qOL40eu36w4/vJff7eX0+mbXtecgx551KTsNHVtK3WcAxhreN1ot/tbu6Khr92WizYvji9seL26+p6buzWlgdLL7JSOj6dy9X3l16tFDcc5o4VupXc9dF9x260336I4vqDhOKfJIdvsWRxf2JCzb/3qqrb2Pyx6XXOO3vWpk7KzvuFvq8vu+mkvp9I1T935gOL45w5ZXRzf6RvD8X21o9e5OXbXpxVrzkhDx+OLf/3jXk6nK07Y5fDi+Gk73V8cf/SV1/dyOn0zVXY8g0mSJEmSJEkz4gKTJEmSJEmSZsQFJkmSJEmSJM2IC0ySJEmSJEmaEReYJEmSJEmSNCNzsovcos12nXPf1MIF5bXAB355TnF86fJjezmdvullt4O5mJsmq287rzhubjozSNl56/InF8c/dPcPi+O3vPWo4vg2p367W1Maatacsuc3dFH50u0Xz/JMBlOva84e2x84KTu33n93cdsli8od/H53x4OK42fc0V63wu2Xbl0cf2hkbXF8YZSPZx615Q7F8dNyj+L4s35Tfh0bdr3Mzu7bHVCsOQ+sX1Pc/r61D/VqKl3z+B32Ko6f+5HnFMeXveADvZxO3/S65iwuvF4N7QtYralj4YO3nlscn4vHyPPp+Lhb/Ju8Yhc5SZIkSZIk9YwLTJIkSZIkSZoRF5gkSZIkSZI0Iy4wSZIkSZIkaUZcYJIkSZIkSdKMLOr3BDQ9Td3+5uqd6SV118jYaHE8Fi+e5ZloED143ZeK41s+9vnF8V+M3NvL6WgTFsXkw7dtl2xZ3Pb+dauL46vGyl3emo43mloBPdjQgWx9Q81ZPzpSHF+29dLi+Iot7ys/8W8aJqRGTZ391o6un+WZdM/d6+4vji/Y94mzPJO5LQod15paSI0NSYfyYZmnBsvo2Fhx3L/JN/AMJkmSJEmSJM2IC0ySJEmSJEmaEReYJEmSJEmSNCMuMEmSJEmSJGlGXGCSJEmSJEnSjNhFbkiUujcArL713OK4d7JvX1M3DHtMaJgsbgjsQ+sbOkbd29ChSfPK2PXfb2v7xy7evjh+cTcmo03KNl6ZNl9Y7hS5RaETHcCCBeX/e2zqLrfl4iXF8TUj6xq237w4/tBouUbtf/MNxXG1b9WaB4vj2y9dVhxfOzL43eV23nzb4vjYxWfN8kzmtlLHtabj5mGxaMHC4rh/Q2kqixeWXzvvu+W7xfH5mCfPYJIkSZIkSdKMuMAkSZIkSZKkGXGBSZIkSZIkSTPiApMkSZIkSZJmxAUmSZIkSZIkzUxmzukHcPKgj/drLj6GOzf9HPcxHNkZpLn4GJ7cDOK4j8HKzqDlw9wMR26GadxHf7IzaDkwN8ORm2EZny+56fsEev4NwiWDPt6vufgY7tz0c9zHcGRnkObiY3hyM4jjPgYrO4OWD3MzHLkZpnEf/cnOoOXA3AxHboZlfL7kxkvkJEmSJEmSNCMuMEmSJEmSJGlG5sMC0+lDMN6vuajZIOVjEMfVbJB+VoM0F01t0H5WgzauZtYWc9OJQftZDdq4mllbzE0nBu1nNUivnXNK1NcDSpIkSZIkSR2ZD2cwSZIkSZIkqYdcYJIkSZIkSdKMuMAkSZIkSZKkGZk3C0xReUlEvKP+ePeIOCjLNvsAABfWSURBVKLf89JgMzfqlNlRJ8yNOmV21Alzo06ZHXXC3Mx9c+Ym3xHx1Mz8n4j4/YZNng6MAU/NzMdGxCOAs4ETgQ8DO2fm/hFxIPAc4N3AJzPzxDbm8GjgDcAKYFHLp54H7Nw6lpm/iIijJmwbwAGZeUrD/o8BHpOZn4iIHYGtga9n5r4N2+9Rb//tiFgKLMrM+6f7/cwXm8jOycDPmJCbzDw8IvZmcnaeC+zby9zUX9OanQBelJm/M8VztGZnZ+DCzNxriu3NziZYc4rbm5tpsOZM2tbcTEOXa07XcpOZz4mIhXS/5vha1SXWnEnbmptpsOYUtzc709BJzaGPx8f110y75nh8PLVFm95kaPw28D/AswufS+DgzDwkIi4HyMzfRMRmwL8DbwY+Wo9fFRH/kZnviog9ImKzzFwXEffX+ynKzK2BrwAfB75KVXABfh/4Vf0YH8uIuBLYC7gCGG2ZZ3EFNyJOBQ4D9gE+ASwGPgncEBG7j/9ytGz/Kqpf4O3q53kU8BHgaU3fwzw2VXYOy8zjC7mBhuwAq8ZzA7Cp7AA3Mc3cAAdGxKeYnJ3HN+28kJ2FwLal3NTbm53pseZsvL25mT5rzoZtzc30dbXm0J3cEBFvAE6l+zXH16ruseZs2NbcTJ81Z+Ptzc70dVJzpnV8DP2tOR4fb9qcWWDKzFPrty8rfT4iflCvdmf98Y5U4doiM38YEa2bj9RvbwQuiIgzqQoZwPFUf9R9imp180Rgl/pzazLznyc878eBfTLz7gnj1wH7ZW58CllEfLh+vi8AD7Z86nlUQb+s/j5vi4hlVL8EP4qIH07YfneqgvqDevufRMROpX+b+W6q7EyRG2jOTmtuHmRDdh4B3M7k7DxzurmpHcaE7ETEolJuMvPLlLOzOYXcZOZzgNdhdjbJmmPN6ZQ1x9x0ogc1Z8a5qZ+nlzXH16ousOZYczphzbHmdKrDmjPd4+O+1hw8Pt6kObPANC6q0xv/AViemf8rIvYDjgT+GTgD2Cki/h54AfB24OURsRcbQv4CqqBCdfrez6juVbWsHjswM5/R8pQfrlfM3wF8sF7VPBtYW3/+N8C9haleAzyy5bnGLQHuBp7aMpbAuszMiBif55b15/664Z/itPosiPF/l0Xj36PKGrJzJeXcANzVkJ1SbgCek5kHtXw8np33tJEbKGenKTdfppydXwEvb9j/WrMzfdach1lz2mTNAcxN27pYc7qRG4Bb6F3N8bWqi6w5gDWnbdach1lz2tRmzWn3+Bj6U3M8Pt6EObfABKykOl3tbfXHPwb+MzMPiIhLqU5HC+D3MvO6eux0YN+IuJXqlLqXAGTmOwEiYovMfKh+/5kRcSLwOapw/AEbVikPAP6IKojj//uzK/C9iPg6GxfHHYBr61XOh8frFfJJIuKUiPgo1ambr6Iqfv+emefExtd1bkF1iuc5EfFWYGlEPB14LdVpgmq2ksnZORI4gQm5qT//OgrZycybYePc1B83ZWfaucnM99NmdoDPF7Lzf4CbmZwbMDvtWok1x5rTmZVYc8xN+1bShZrTpdwk1f8s96rm+FrVXSux5pib9q3EmgNmpxMrmWbNaff4uP541muOx8ebNmdu8j0uIi7O6saEl2fm4+uxK9h49XHc/Zm5vt5mS2BBttxwKyKOpLp+c6vM3D0iDgJOobqR19FUQb4A+JPMvDkifkp1et26ln2cStn3GsZvp3CDs6yuP3068AyqX8azMvNb0XJdZ2buFRGPobqu8+nAK1q3Bz428bRRbdCQnaupriNu9XBu6m02yk5Dbl4NnAZ8kAnZAb7NNHOTme+MiInzgep63pdTyE29v42yQ3UTu0m5ycynRcQCzM60WXOsOZ2y5pibTnSr5nQjN/V+elZz8LWqq6w51pxOWHOsOZ3qpOa0cXzct5rj8fEmZOacelAVl+2By+qPnwicQ7UaPQrcRXW62yjVaZBXAYdS/QH3DeDnVHeNh+payd2Ay1v2f80Uz/0VYKeGz20xzfmfQ3Wd5nSf8wpgswnbX93vn8MwPhqys6aQm1uBa6mu72VidszN/HpYc8xOl7NjzfHRSW7arjndzE2vsmNuZiU71hwfneTGmuOj0+yUao7Hx3PoMRcvkftz4Exgr4i4ANiR6trONwBfzMyzACLiS1Q39Loc+Dfgl1TXab6MamXxPwEy85bY+GZj1Ke5rWDjFocvB7YFro+Ii9lwet0jqH6xtgJ2j+qO+RdRnbbXunIZ9cc3ZOEGZ1G1eXwPsFO97fj212Xhus6IOBr4G2APNrRbzMzcc9r/kvNPKTtfB05vyc0zgPdRXcP7CWB5/bY1O2sKuRmN6iZ2r2Jyy8zp5OYg4JuZuUtM7pwQTHFjvIbsLC3lpn7f7LTHmmPN6dS8rznmpiPdqjndyA1ULaQ/Tm9qjq9V3WXNMTedsOZgzenQdGpOp8fHfak5Hh9v2pxbYMrMS+vT3Pah+gHekJnrI+KJmfmqlk33onrxXEB1J/g7MvMDAFHftAu4JSKOogrHYuBNVDcA24bq1LtRNlY69e7DwDOpfrnIzMdHxDWZuaywLRHxjSjf4Ow04Nm54br48e1Pi/J1nR8H/hS4tDBPFZSyQ7XiflbLNmdHxGMyc2lE3BPVNcKXTMhOKTfXAf8FnMfk7NxVmM7E3FwZEXfX70/KzhS5gUJ2psgNmJ22WHOsOZ2y5pibTnSx5nQjN1Dds6QnNcfXqu6y5lhzOmHNseZ0ajo1h86Pj/tVczw+3pSZngI1aA/gfODvqVp7L2sZPxv4C6rVwz2A26gCuRC4smW7BcCr6/d3AD5DddrencCnafNUN+AH9dvW0+WunGL7Pal+SR6iOkX5/Hq+FzRsv4Bq5fYLwBfr92P8eX3MLDuF3LwFuJ+qGF4GPGJidhpysz1wxWznpv7cpOw05ab1uX10npuG7FhzfGwyO/Ot5pib7uSmITtT1pxu5Kab2WknN63P62Nm2bHm+OgkNw3Zseb42GR22s1N/f7A1JxSbqbKznzMzVy8yfejgWPrxxOpTos7jyrcpwLH1Jv+EjiQ6nS58VPbGH8/M7du2P+7gAsz879bxs7PzGMaTq9bQnUjsw8BT6BacT0sM188Yb9/NuGpllIFdfz0ufuozmT4Chvf3f7LE/ZzSP3uC6l+Ub88YfvLSt+XGrNzMdUp2OO5uYCqwLybqthN/HlPOzs9zs14B4Wv1vsxOz1izTE3nZrPNcfcdG62a84mcpNUfyy8H2vOwLPmAOambdYcs9OpadacjnJT7382a465maY5t8AEEBG7UAXoWOApwC8y8/gO9lO6rvOPqEKyFljPpovmDlR3tz+u3vZs4E2ZefeE7U6t390HOJzqlL8AXkl1mt+5E3b93PrtLyeMj4f/4sJ0MjNLHR9U60Z2GnIDVUvOLZlGdrqQm2dT5bQpN1DOTik3YHamZM0BrDkdmcc1x9zMwKDkpt5PL2qOr1U9MijZseYMl0HJTb0fa84QGZTseHw8e+bcAlNE/Izqh/8fVKvrV2TmWETsTdXuewVVMLegOuXtlNJ+MvOyiLiw3sdG10xm5pd6OP9zgd/NDS09lwFfz8wnTdhuj6n2k5k/79Uc56pSdoDfYuPcQHXTtye2rExP9CHMzbxhzXl4jmanTdYcc9OJbtUc+pAbmF52zE1vWHPMTiesOeamU9OsOR4fzzFzcYHpTVSn3O0GXE/VYvBcqtPSPsKGYL6N6tTO9xV2k5n51Ii4IjMPrve7b2Ze3/RiO/E0t4h4S2aeFhH/wsan6I1v/8aG+d8AHJiZa+uPN6dq23gQ8ArgcVSn+I3v5+V1sB+Tmd+OiKVUv6x/BZyWmavq/TwC+PPMfHvpedWYnbcA/8zGBe1tmfn7EfHdwm4S2G48N/V+p52dbucmM/eJiCUUsgO8kwm5ycz7I+IfMDvTZs2x5nTKmmNuOtGtmsMMclNvPys1B1+rusaaY83phDXHmtOpadacto6P6/32rebg8fEmzbkFpnERsRVVe8NTgEdRrbYf2uY+Hr6uMyJOz8yTJ7zYPvyPlxNOc4uIZ2fmVyPif5f2nZn/r+E530Z1reYZ9dDrgX8CDqH6xfxD4G+BE6nunn8NcDJV0d4rIh5DVey3y8zHT9j3ZZnZ9L9Rqk3Izu6ZGZv4kolfP/F64Glnp4u5+T1gXWYeERFfYHJ2FlB1JtsoN5n5tIi43Oy0z5pjzenUfK45mJuOzbTmzCQ39fazUXN8reoBa4656YQ1x5rTqTlSczw+nqY5t8AUEe+jusZzK+BCqhsVnge8lOqu82fQcoMtYA3wZ1RhP7kOwz6Z+bWobhA28brOhcAjM/O+iPhrqpD93cRV9sK8tsjMh6b5PRxSfw9QXad6xnhRi4irMvPAqFo0nke1cnoE1R3qH19//dVUv2SHt6y6LqVqM/u46cxhPmrIziFULTU3yk1m3hMRW1DIDvBZCtcDU127+812sjOD3JwLrK5X90vZWUV1M72NcpOZB0TEVZidabPmWHM6Zc0xN53oVs2hi7mp59WLmuNrVRdZc6w5nbDmWHM61U7Nof3j49muOR4fT1cOQCu7bj6AMeDECWOnAzcVHjcC/0l1qt419bZbMEXLQ6rTcaE63e+7wO8yRftB4EjgWqpQQnVa3b+18f18vn77w/rtucD+VJ09bmRCy0WqU/Guomr/eD7VKXyvqN9/S79/PoP8aMjOfaXc1J/rWXZmmptpZGdNKTf1+2Zn5rmx5pibTrMzr2qOuelabuZqzfG1qvfZseaYm05yY80xO51mp1hz2s1Nu9npcW48Pm79t+r3BLr+DVU/4HOAd7SMXTbF9pe0hqF+/8qW93cFjgKeVD9+XI+/G/jDiV9b2P8PqK47bd3/NW18P7vUb19NtaL+pPp7vLMeOw14K9Wpek+nWg3++/prjqe6nvV9wDP7/bMZ9Ec3s1PIzZNaCs4mszPT3EwjO2c15cbs9C83Ddmx5szRhzXH3Ax7brqRnU5zY3aGOzvWnOF5DFJuupEda85gZmeq3HQjOz3OjcfHLY/WNn9zxSrgacA/R8RXgZcARMRLG7ZfV5+qlvV2e1GfrhcR7wFeRLXaOX7jw60j4qNUwXlPVDf8WjDVhDLzloiNLjUdbdq28LW31++uBJ5Pdcf98WtFdwb+kmo19GqqcP838LGI2BI4OzO/GRH7APtExOLMXD/d556HStnZrpSdzPwkDdlpyE0Ct7aTnZnkpv76qbID8Gsm5Kb+PsxOe6w51pxOzfuaY2460pWa063cQE9rDvha1U3WHHPTCWsO1pwOTbvm0P7x8azWHI+Pp28uLjBFZo4Ar42Ik6hOQ3sEcHjLNkuown4ZcCrwTWC3iPgMcDRwUr3d71Fd+/nw9aH19ejHA+/LzFURsQvw5inmc0tEHAVkfY3mm6huBNau/wLupbrjfus18mPAv9ePh0XVWvHYqO5U/03gEqpfzBM7eO75opSdHdiQndbcfJLm7HyUCbmBtrPTrdxAc3Ym5aZmdtpjzcGa06F5X3PMTUe6VXO6kRvofc3xtap7rDnWnE5Ycypmp33t1Jy2jo+hbzXH4+NNmIs3+X51Zn605eNDgddl5ssnbLct8DngLqrrI1ez4frJu+ptvgGckJkPzGA+OwAfBI6juiHZ2cCbMvPuNvdzTWbu3/Lx5zPzhbHh5mETjWTmIRHxBmBpVu0ZN2rxqI1NJzvjucnM4yPi0xSyM0i5qff1cHY2lZusblZ3mdmZPmvOw6w5bbLmAOambd2qOd3ITf08Xa85vlb1hjUHsOa0zZpjzelUOzUHj4/njDl3BlNriOuPLwVeXtj0QeDRwHuo7g7/dGAv4PKIODczPwg8BFwREd9h4xXKN05nLhGxEPhgZnZjhfLCiDggM6+uP35T/XYl8H3glxO2/0pEHEm1OvqKemxhF+YxZ00zO+O5Afg4hewwWLmBjbOzqdzUUzA702XNeZg1p03WHMDctK1bNYcZ5gZ6WnN8reoBaw5gzWmbNaf16c1OO9qsOR4fzxFzboGpSVTXfY6vKi4E9qO6G/x366J3OPAU4DXA46hWOM+sHx3JzNGI2CMiNsvMdTP6Bqq7458UETdR/WJFRCTwJapODvdQ3X3/C5n5q4j4E+CvgDMy80cRsSfV3fXVhqbcAEyRnXczOLmBCdmJiAB2BO5mQm7q7c1OF1hzzE0n5lvNMTfd00HNmVFuoLc1x9eq2WHNMTedsuaYnU54fDz3czPnLpFrEhG/zYYwjwA/z8xb65XQLYGLgPOA8zPzzi4+7yeBx1L9Ujw4Pp6Z729zP3uUxjPz5/XnD6S6nvP5wC8z87hO56wNmnJTf65n2elWbup9NWbH3PSONUedsOaoU3O55pib3rHmqFPWHHViLuem/vy8z86cP4MpIs7PzGOAr1GFefzW8VmvNkLVXnB/qht2rYqIizJzdUQ8hmq1fT+qm5BVX5i55zSe91OZ+UfAc4APUN3Rflmn38d4aKdwJ3AH1ar7ThHxXcrXED+10znMJ9PIzT1U1wevY0J2gEcxILmpn3eq7GyUm3oOZmcGrDmT9mNupmG+1hxzM3Od1hxmkJv6eWez5vha1WXWnEn7MDfTZM2ZtB+zMw0eH0/az5zNzZxfYKqDTGYWgxQR2wMXAr9Pdaf6TwC7UYXvE1R3tP8A1al6L2MTbTNbHBoRy4FfAP/S+XcwtYh4LfBCqlM6vwDcn5lHR3UTtXFLqFZRR3o1j7lmurnJzH0iYhlVdv6bqlhezPDl5lXA39SfPqVlU7PTJmsOYG7aNg9rjrnpkg5qTjdyA7OQHV+reseaA5ibjlhzALPTNo+PgXmSm3lziVyTiHg91c3EHgfcTHVK3qWZ+bWIuDQzD42IqzPzgHr7SzPz0OY9PrzfNwJ/THXTsttaPwXkdFfrp/E87wb+MzOvqD/eJTNvb9j2h5l5RDeeVxARbwUOAg6lys4PgW8D7x223NRjZmcWWHPUqblUc8zN7CnUnBnnpt6259nxtaq/rDnqhDVHnfD4eA7JzHn9oFqNfgKwqGXsa/XbC6lWR78MvB54HnBDm/v/8Cx/P+Nz367lsQNwfLtz99FedoY5N2anf7kZ9uyYm/5lx9z46HduzM7cflhzfAxabszO3H14fDx3HvP+DKapRMQTgGuBbYC/A7YGTsvMH/R1YlOIiG0y896o7mzfegO1m4G/zczz+za5eWIYcwNmZxAMY3bMTf+ZG3ViGHMDZmcQDGN2zE3/DWNuwOwMgmHMznzOzZy/B9MMjQKfBPYAFtdj/w4c2LcZbUJm3lu/ux/wWqpWikl1muEl/ZrXPDN0uQGzMyCGLjvmZiCYG3Vi6HIDZmdADF12zM1AGLrcgNkZEEOXnfmcG89gmkJE3AC8GbgaGBsfz03fPb7vIuLzwH3AZ+qhPwS2zcwT+jer+WGYcwNmp5+GOTvmpn/MjToxzLkBs9NPw5wdc9M/w5wbMDv9NMzZmY+58Qymqf06M8/s9yQ6tH9m7tfy8Xcj4tq+zWZ+GebcgNnpp2HOjrnpH3OjTgxzbsDs9NMwZ8fc9M8w5wbMTj8Nc3bmXW5cYJraqRHxMeA7wNrxwcz8cv+mNG2XRcQTM/P78PC1q3P6dLwBMsy5AbPTT8OcHXPTP+ZGnRjm3IDZ6adhzo656Z9hzg2YnX4a5uzMu9y4wDS1lwH7Ul3rOX46XlLdwX4gRcTVVHNcDFwYEb+oP94DuL6fc5tHhi43YHYGxNBlx9wMBHOjTgxdbsDsDIihy465GQhDlxswOwNi6LIzn3PjPZimEBE3ZOY+/Z5HOyJij6k+PwzXqg67YcwNmJ1BMIzZMTf9Z27UiWHMDZidQTCM2TE3/TeMuQGzMwiGMTvzOTeewTS1CyNiv8wcmusk53JYh8jQ5QbMzoAYuuyYm4FgbtSJocsNmJ0BMXTZMTcDYehyA2ZnQAxdduZzbjyDaQoRcR2wF3AT1fWeAWRmDmxLRPWfuVGnzI46YW7UCXOjTpkddcLcqFNmZ7i4wDSFplPb5vOKpDbN3KhTZkedMDfqhLlRp8yOOmFu1CmzM1xcYJIkSZIkSdKMLOj3BCRJkiRJkjTcXGCSJEmSJEnSjLjAJEmSJEmSpBlxgUmSJEmSJEkz8v8BGe9utGWy0FYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "tags": [],
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "text": [
      "Encoder Layer 2\n"
     ],
     "name": "stdout"
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "tags": [],
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "text": [
      "Encoder Layer 3\n"
     ],
     "name": "stdout"
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "tags": [],
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "text": [
      "Encoder Layer 4\n"
     ],
     "name": "stdout"
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "tags": [],
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "text": [
      "Encoder Layer 5\n"
     ],
     "name": "stdout"
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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Gfjnh68nM04HTARZttuvcuxOdJEmSJEnSgOrVAtODLe8vAJ6YmWtaN2hZTNrUNq0d5UaZp13kpG5quqGvXVeG35Iol8gojgLr1jR9RvNIu13ktt58i+L4Q+vXFsfVXUsWLp40tnZk0sndU7p57d1dmUtTF7l2/6dvy4WbF8e3/uuz29yT5HGONs2zEaTe6FoXuSmcDbxh/IOIOHg620TEhbMwN0mS5j27yEmSJGmmZmOB6Y3AYRFxVURcC7xmOttk5lGzMDdJkiRJkiTNUNcuN8vMFfW7fzNh/C7gRYXtVwIrm7aJiAcyc6uIeHJEfA+4q57v30fES7LpnGxJkiRJkiTNqtk4g6kbHg/8CbAfsCdw9MQNIuLkiLgkIi4ZG3tw4qclSZIkSZLUI8OywPTDzPxlZo4BVwArJm6Qmadn5mGZediCBVvO+gQlSZIkSZLmq2HpyGYnOamL7KIyd63Jkfa+YLMlvZmI5rT1o23mTF21fmx00li22RNp8YKF3ZpOV6wZK3fBu/9jLy2OL3vlJ3s5HQ2JCV2pH+ZxjiT1x8CcwRQRfxMRp/R7HpIkSZIkSWrPwCwwtWlY5y1JkiRJkjTn9HWhJiLeFhE/jojzgX3qsb0i4pvADRFxHnBHZj4rIlZGxEeAw4H9+zhtSZIkSZIktejbvYwi4lDgxcDB9TwuAy4FTgdek5k/iYgnAP8GPLX+skcBR2XmpJsPRMTJwMkAsXAbvNG3JEmSJEnS7OjnzbKPBc7IzIcAIuJMYAlwFPCFlpv2bd7yNV8oLS5B1UWOanGKRZvt2t6dLiVJkiRJktSxQevGtgBYlZkHN3z+wens5Hm7HDZpbLShu8qZt19ankhDV4rM8n56vaL1suVHFcc/efA7evzM88fJy48ujt/f0JXrs7f/oJfT6YqXLj+yOL5vljuHvfX27/ZyOnPW7+1y6KSxsYZtz/711cXxzRaWy/FIoVsUwFhDLTrnrmvL+1+0uDi+/W//eXG8VEcBtonyflbedlFxXN2zecPPcO1IuftWk0WF7mHfe9xftbWP05ceUhx//upz2tqPOrP3sl0njY02VJ3L7/pZcfze9eVDql2XbV8cX0D5uGg0m6pde36y6tbi+NF/cV5X9i94duG1CmBxwx0zzr77muL4ooXT70DYdNy8pqFuLVxQnkvTfp62/eOK478ZW10cP//O64rjmtpJhePJtQ2/+8NwfAzwwl2OKI7/X/+26po/2OUJbW0/DNl5zfJjiuMfONTcjJv1ezBFxPKI+CJwC/D6iFgaEcuAVwJ7ATdFxAn1thERB832HCVJkiRJkjR9s34GU2beBrwAICL2Ba4E7gTuqjc5EfhwRLwdWAx8rt5GkiRJkiRJA6hnC0wRsQL4BnA+1X2VbgWeC/xv4BXAZsBPgYMz86GIWAncB3wGeCTwlsz8Yr2vNwOPAw6JiAMy89RezVuSJEmSJEnt6fUlco8B/jUzHwesAp5PdaPuwzPzIOA6qsWmcbsAxwDPAv4RICKeUe/nCKqOc4dGxJMmPlFEnBwRl0TEJTc+cHMPvyVJkiRJkiS16vUC002ZeUX9/qXACmD/iDgvIq6muhyu9e58X8nMscy8Fti5HntG/bgcuAzYl2rBaSOZeXpmHpaZh+251YqefDOSJEmSJEmarNf3YFrb8v4osBRYCfxeZl4ZEScBT27YPlrevjszPzrdJz3j9ksmjR2z02On++VAc4emfhlp6A7z6jvt+tUtd+Saruxn2yVbFsdHx8o/w/vXlTudLFm02YznsirXFccvpdwZT525cd09k8bWjpU75KwZKf9Mmsb75cEsz//jx5d/T1Z+opezmZuO2nHftra/8NfXd+V5S50J/9dvzm9rH8+/p9wt7sTlTyyOv21puWPZfj8rd1XU1Er1Zayhn+0eW+9cHP/5fb9q6zl3W7ZDcXxhtPd/ldGw/eO226Ot/ah9946W6/c5d/6oOL790mXF8cVtdD1t6m64pKErZrTZxfn+huOcpQ0dT9WZa9bdNWlsJMtdbofFXQ2dBl909Kri+OvO6OVs5qafrJ98fAzDnZ07spybU/e+ozj+1tt7OZvB1OszmBbVHeNaLQNuj4jFVGcwbRUR5T6olbOAl0fEVgARsWtE7NSb6UqSJEmSJKldvT6DaSQzXzBh7K+BHwC/rt/uMtUOMvPsiHgscFH9vxoPAC+h6jwnSZIkSZKkPuvaGUwR8Y8R8bqWoZOAlS1nJ30A2BJ4OXA/8PHMfANwCkBmngScERHvjYiLgRsj4tX1115JdZPwm4DtM/Nn3Zq3JEmSJEmSZqabl8j9J/DClo9fSHWG0rhXAPdm5uHA4cCrIuLRE/Yx1TaHAG/KzL1LT97aRW5srHyvB0mSJEmSJHVf1y6Ry8zLI2KniFgO7Aj8BrilZZNnAAdGxPglc9tQdYP78TS2WQf8MDNvmuL5TwdOB1i02a6DdYduSZIkSZKkOSyaujIUN45YAXwtM/efML4t8B/A9cBTgf8G7gDOHN8+Ir4EnJ6ZZ5X2CdxF1WnutMI2TwZOycxnTWee82mBafVt5xXHly4/dpZnMjtG1t1abi/SBebG3HRqkLLT1MXrs7f/oDh+75dPKY4ve957uzanYTZfak67NaFbncnmql7XnJ232XdSdu5r6Ei6frTcNfTxO+xVHL/8ru7chaDdf4DHbrd7cfyi15fnuc3fzs0uur3MzuZLdivWnLGGLrcDU6A64HFOdw3S61W3LGjoWPjgrecWx+didsxN91hzNujKJXKZuSozfwf4OPAQ8ALgCxM2Owv447p7HBGxd0RM7Of+/WlsI0mSJEmSpAHSyQLTooj4TERcFxFfjIgtIuLmiNghM38E7ATsmJm3A08A9oqIK4A/Bn4KXBYRdwCXUS0o/UXrvoEjgAci4kbgo8BmwGuAYyLiqpYbf0uSJEmSJGkAdLLAtA/wb5n5WOA+4LUTPv9iqq5vAC8BjsvMg4Fjgb8E3gLcCOyUmQcAb2u55G5RZi4HngfcmJlPAU4ArsnMbWm+ObgkSZIkSZL6pJMFplsy84L6/U8Dx0yx7QXA+yPijcC2mTkCHAd8IjMfAsjMe1q2/3L99lJgRf3+M4CX1mdB/QDYnurG3xuxi5wkSZIkSVJ/dNJFbuLNuhIYYcNi1ZKHP5H5jxHxdeB3gAsi4pmb2Pfa+u1oy9wCeMPEG39PmpRd5CRJkiRJkvqikwWm3SPiyMy8CPhD4HxgGXAo8A3g+eMbRsRemXk1cHVEHA7sC3wLeEdEfCYzH4qI7SacxTTR+M3B/ycz10fE3sCtmTmvTlPq6S3+Ne/M1Y4Ggi1YWBwfa+oY+sC9PZyNhkU2dCBrYre4/rp79f2TxjZftLi4bVOnpB0WdqeHypJFmxXH14ysK44vWlCuUaNZ7mS29tJbOpuYJmn6Wa0dWV8cHxkb7eV0umL5VtsVx3PNvPozQZIGRieXyN0AvC4irgMeAXwYeCfwwYi4hOrso3F/EhHXRMRVwHrgG5n5TeBM4JL6srdyj+wNPgZcS3Vz8GuobvzdycKYJEmSJEmSeqCthZrMvJnqLKSJzgP2Lmz/hob9/CPwjxPGntzy/l3U92DKzDHgrfVDkiRJkiRJA6aTM5gkSZIkSZKkh7nAJEmSJEmSpBlxgUmSJEmSJEkz4s2yh5zdwCRNR1PnJqkTB27/6OL4VXffNMszmZ9KnbNWrS13zVrX0EFy1diarsylqdNYU/e6sYZuccsWLi2OL9zK2tUt60ZHiuNNP5Nh8NDI2uJ4LOlOl0TNXdlQG/3bSpoZz2CSJEmSJEnSjLjAJEmSJEmSpBlxgUmSJEmSJEkz4gKTJEmSJEmSZsQFJkmSJEmSJM2IXeSGxIIF5bXAB355TnHcDgiayurbziuOm5vht5hy56Zo6OjE2u50ktKQW1PuQNZk8wWLezQRTcfCmHxM0Pg73uCh0XL3rW4Za+jQ1NRdrkkssYtctzR1zWoaHwajY8PbAW+YtPNbOyxp8m8rqTc8g0mSJEmSJEkz4gKTJEmSJEmSZsQFJkmSJEmSJM2IC0ySJEmSJEmaEReYJEmSJEmSNCN2kRsSY3bJkDQNqynXirFsqCFbbNnD2WhYxNY7tLX9fSMP9Wgmmo7Vo+smjT24rtwRsqn7046Ll3VlLgsbOjFlm72kHhpr6Go3ZsfCbmnqNNg0Pgzd5ZryJ23KMORbGkZWZUmSJEmSJM2IC0ySJEmSJEmaEReYJEmSJEmSNCMuMEmSJEmSJGlGXGCSJEmSJEnSjMRcvIP+cbs9c9I3NZKjxW3Pv/O6ns+nG05c/sTi+Gdu+/4sz6S/Rtbd2tQQZ8ZeteKE4i/DaEMnnE/fXv63X7hgYXF8/ehIW/MpfaPtdnr5o+VHFseXNKwtn37bBdOa27DpZW4Ajlj+25N+AGvH1he3/dE9P+/lVLrmdx/5+OL4ysMfKI7v+NWf9HI6fdPL7Jywx3PbegE+4/ZLejWVrnnV8qOL40eu36w4/vJff7eX0+mbXtecgx551KTsNHVtK3WcAxhreN1ot/tbu6Khr92WizYvji9seL26+p6buzWlgdLL7JSOj6dy9X3l16tFDcc5o4VupXc9dF9x260336I4vqDhOKfJIdvsWRxf2JCzb/3qqrb2Pyx6XXOO3vWpk7KzvuFvq8vu+mkvp9I1T935gOL45w5ZXRzf6RvD8X21o9e5OXbXpxVrzkhDx+OLf/3jXk6nK07Y5fDi+Gk73V8cf/SV1/dyOn0zVXY8g0mSJEmSJEkz4gKTJEmSJEmSZsQFJkmSJEmSJM2IC0ySJEmSJEmaEReYJEmSJEmSNCNzsovcos12nXPf1MIF5bXAB355TnF86fJjezmdvullt4O5mJsmq287rzhubjozSNl56/InF8c/dPcPi+O3vPWo4vg2p367W1Maatacsuc3dFH50u0Xz/JMBlOva84e2x84KTu33n93cdsli8od/H53x4OK42fc0V63wu2Xbl0cf2hkbXF8YZSPZx615Q7F8dNyj+L4s35Tfh0bdr3Mzu7bHVCsOQ+sX1Pc/r61D/VqKl3z+B32Ko6f+5HnFMeXveADvZxO3/S65iwuvF4N7QtYralj4YO3nlscn4vHyPPp+Lhb/Ju8Yhc5SZIkSZIk9YwLTJIkSZIkSZoRF5gkSZIkSZI0Iy4wSZIkSZIkaUZcYJIkSZIkSdKMLOr3BDQ9Td3+5uqd6SV118jYaHE8Fi+e5ZloED143ZeK41s+9vnF8V+M3NvL6WgTFsXkw7dtl2xZ3Pb+dauL46vGyl3emo43mloBPdjQgWx9Q81ZPzpSHF+29dLi+Iot7ys/8W8aJqRGTZ391o6un+WZdM/d6+4vji/Y94mzPJO5LQod15paSI0NSYfyYZmnBsvo2Fhx3L/JN/AMJkmSJEmSJM2IC0ySJEmSJEmaEReYJEmSJEmSNCMuMEmSJEmSJGlGXGCSJEmSJEnSjNhFbkiUujcArL713OK4d7JvX1M3DHtMaJgsbgjsQ+sbOkbd29ChSfPK2PXfb2v7xy7evjh+cTcmo03KNl6ZNl9Y7hS5RaETHcCCBeX/e2zqLrfl4iXF8TUj6xq237w4/tBouUbtf/MNxXG1b9WaB4vj2y9dVhxfOzL43eV23nzb4vjYxWfN8kzmtlLHtabj5mGxaMHC4rh/Q2kqixeWXzvvu+W7xfH5mCfPYJIkSZIkSdKMuMAkSZIkSZKkGXGBSZIkSZIkSTPiApMkSZIkSZJmxAUmSZIkSZIkzUxmzukHcPKgj/drLj6GOzf9HPcxHNkZpLn4GJ7cDOK4j8HKzqDlw9wMR26GadxHf7IzaDkwN8ORm2EZny+56fsEev4NwiWDPt6vufgY7tz0c9zHcGRnkObiY3hyM4jjPgYrO4OWD3MzHLkZpnEf/cnOoOXA3AxHboZlfL7kxkvkJEmSJEmSNCMuMEmSJEmSJGlG5sMC0+lDMN6vuajZIOVjEMfVbJB+VoM0F01t0H5WgzauZtYWc9OJQftZDdq4mllbzE0nBu1nNUivnXNK1NcDSpIkSZIkSR2ZD2cwSZIkSZIkqYdcYJIkSZIkSdKMuMAkSZIkSZKkGZk3C0xReUlEvKP+ePeIOCjLNvsAABfWSURBVKLf89JgMzfqlNlRJ8yNOmV21Alzo06ZHXXC3Mx9c+Ym3xHx1Mz8n4j4/YZNng6MAU/NzMdGxCOAs4ETgQ8DO2fm/hFxIPAc4N3AJzPzxDbm8GjgDcAKYFHLp54H7Nw6lpm/iIijJmwbwAGZeUrD/o8BHpOZn4iIHYGtga9n5r4N2+9Rb//tiFgKLMrM+6f7/cwXm8jOycDPmJCbzDw8IvZmcnaeC+zby9zUX9OanQBelJm/M8VztGZnZ+DCzNxriu3NziZYc4rbm5tpsOZM2tbcTEOXa07XcpOZz4mIhXS/5vha1SXWnEnbmptpsOYUtzc709BJzaGPx8f110y75nh8PLVFm95kaPw28D/AswufS+DgzDwkIi4HyMzfRMRmwL8DbwY+Wo9fFRH/kZnviog9ImKzzFwXEffX+ynKzK2BrwAfB75KVXABfh/4Vf0YH8uIuBLYC7gCGG2ZZ3EFNyJOBQ4D9gE+ASwGPgncEBG7j/9ytGz/Kqpf4O3q53kU8BHgaU3fwzw2VXYOy8zjC7mBhuwAq8ZzA7Cp7AA3Mc3cAAdGxKeYnJ3HN+28kJ2FwLal3NTbm53pseZsvL25mT5rzoZtzc30dbXm0J3cEBFvAE6l+zXH16ruseZs2NbcTJ81Z+Ptzc70dVJzpnV8DP2tOR4fb9qcWWDKzFPrty8rfT4iflCvdmf98Y5U4doiM38YEa2bj9RvbwQuiIgzqQoZwPFUf9R9imp180Rgl/pzazLznyc878eBfTLz7gnj1wH7ZW58CllEfLh+vi8AD7Z86nlUQb+s/j5vi4hlVL8EP4qIH07YfneqgvqDevufRMROpX+b+W6q7EyRG2jOTmtuHmRDdh4B3M7k7DxzurmpHcaE7ETEolJuMvPLlLOzOYXcZOZzgNdhdjbJmmPN6ZQ1x9x0ogc1Z8a5qZ+nlzXH16ousOZYczphzbHmdKrDmjPd4+O+1hw8Pt6kObPANC6q0xv/AViemf8rIvYDjgT+GTgD2Cki/h54AfB24OURsRcbQv4CqqBCdfrez6juVbWsHjswM5/R8pQfrlfM3wF8sF7VPBtYW3/+N8C9haleAzyy5bnGLQHuBp7aMpbAuszMiBif55b15/664Z/itPosiPF/l0Xj36PKGrJzJeXcANzVkJ1SbgCek5kHtXw8np33tJEbKGenKTdfppydXwEvb9j/WrMzfdach1lz2mTNAcxN27pYc7qRG4Bb6F3N8bWqi6w5gDWnbdach1lz2tRmzWn3+Bj6U3M8Pt6EObfABKykOl3tbfXHPwb+MzMPiIhLqU5HC+D3MvO6eux0YN+IuJXqlLqXAGTmOwEiYovMfKh+/5kRcSLwOapw/AEbVikPAP6IKojj//uzK/C9iPg6GxfHHYBr61XOh8frFfJJIuKUiPgo1ambr6Iqfv+emefExtd1bkF1iuc5EfFWYGlEPB14LdVpgmq2ksnZORI4gQm5qT//OgrZycybYePc1B83ZWfaucnM99NmdoDPF7Lzf4CbmZwbMDvtWok1x5rTmZVYc8xN+1bShZrTpdwk1f8s96rm+FrVXSux5pib9q3EmgNmpxMrmWbNaff4uP541muOx8ebNmdu8j0uIi7O6saEl2fm4+uxK9h49XHc/Zm5vt5mS2BBttxwKyKOpLp+c6vM3D0iDgJOobqR19FUQb4A+JPMvDkifkp1et26ln2cStn3GsZvp3CDs6yuP3068AyqX8azMvNb0XJdZ2buFRGPobqu8+nAK1q3Bz428bRRbdCQnaupriNu9XBu6m02yk5Dbl4NnAZ8kAnZAb7NNHOTme+MiInzgep63pdTyE29v42yQ3UTu0m5ycynRcQCzM60WXOsOZ2y5pibTnSr5nQjN/V+elZz8LWqq6w51pxOWHOsOZ3qpOa0cXzct5rj8fEmZOacelAVl+2By+qPnwicQ7UaPQrcRXW62yjVaZBXAYdS/QH3DeDnVHeNh+payd2Ay1v2f80Uz/0VYKeGz20xzfmfQ3Wd5nSf8wpgswnbX93vn8MwPhqys6aQm1uBa6mu72VidszN/HpYc8xOl7NjzfHRSW7arjndzE2vsmNuZiU71hwfneTGmuOj0+yUao7Hx3PoMRcvkftz4Exgr4i4ANiR6trONwBfzMyzACLiS1Q39Loc+Dfgl1TXab6MamXxPwEy85bY+GZj1Ke5rWDjFocvB7YFro+Ii9lwet0jqH6xtgJ2j+qO+RdRnbbXunIZ9cc3ZOEGZ1G1eXwPsFO97fj212Xhus6IOBr4G2APNrRbzMzcc9r/kvNPKTtfB05vyc0zgPdRXcP7CWB5/bY1O2sKuRmN6iZ2r2Jyy8zp5OYg4JuZuUtM7pwQTHFjvIbsLC3lpn7f7LTHmmPN6dS8rznmpiPdqjndyA1ULaQ/Tm9qjq9V3WXNMTedsOZgzenQdGpOp8fHfak5Hh9v2pxbYMrMS+vT3Pah+gHekJnrI+KJmfmqlk33onrxXEB1J/g7MvMDAFHftAu4JSKOogrHYuBNVDcA24bq1LtRNlY69e7DwDOpfrnIzMdHxDWZuaywLRHxjSjf4Ow04Nm54br48e1Pi/J1nR8H/hS4tDBPFZSyQ7XiflbLNmdHxGMyc2lE3BPVNcKXTMhOKTfXAf8FnMfk7NxVmM7E3FwZEXfX70/KzhS5gUJ2psgNmJ22WHOsOZ2y5pibTnSx5nQjN1Dds6QnNcfXqu6y5lhzOmHNseZ0ajo1h86Pj/tVczw+3pSZngI1aA/gfODvqVp7L2sZPxv4C6rVwz2A26gCuRC4smW7BcCr6/d3AD5DddrencCnafNUN+AH9dvW0+WunGL7Pal+SR6iOkX5/Hq+FzRsv4Bq5fYLwBfr92P8eX3MLDuF3LwFuJ+qGF4GPGJidhpysz1wxWznpv7cpOw05ab1uX10npuG7FhzfGwyO/Ot5pib7uSmITtT1pxu5Kab2WknN63P62Nm2bHm+OgkNw3Zseb42GR22s1N/f7A1JxSbqbKznzMzVy8yfejgWPrxxOpTos7jyrcpwLH1Jv+EjiQ6nS58VPbGH8/M7du2P+7gAsz879bxs7PzGMaTq9bQnUjsw8BT6BacT0sM188Yb9/NuGpllIFdfz0ufuozmT4Chvf3f7LE/ZzSP3uC6l+Ub88YfvLSt+XGrNzMdUp2OO5uYCqwLybqthN/HlPOzs9zs14B4Wv1vsxOz1izTE3nZrPNcfcdG62a84mcpNUfyy8H2vOwLPmAOambdYcs9OpadacjnJT7382a465maY5t8AEEBG7UAXoWOApwC8y8/gO9lO6rvOPqEKyFljPpovmDlR3tz+u3vZs4E2ZefeE7U6t390HOJzqlL8AXkl1mt+5E3b93PrtLyeMj4f/4sJ0MjNLHR9U60Z2GnIDVUvOLZlGdrqQm2dT5bQpN1DOTik3YHamZM0BrDkdmcc1x9zMwKDkpt5PL2qOr1U9MijZseYMl0HJTb0fa84QGZTseHw8e+bcAlNE/Izqh/8fVKvrV2TmWETsTdXuewVVMLegOuXtlNJ+MvOyiLiw3sdG10xm5pd6OP9zgd/NDS09lwFfz8wnTdhuj6n2k5k/79Uc56pSdoDfYuPcQHXTtye2rExP9CHMzbxhzXl4jmanTdYcc9OJbtUc+pAbmF52zE1vWHPMTiesOeamU9OsOR4fzzFzcYHpTVSn3O0GXE/VYvBcqtPSPsKGYL6N6tTO9xV2k5n51Ii4IjMPrve7b2Ze3/RiO/E0t4h4S2aeFhH/wsan6I1v/8aG+d8AHJiZa+uPN6dq23gQ8ArgcVSn+I3v5+V1sB+Tmd+OiKVUv6x/BZyWmavq/TwC+PPMfHvpedWYnbcA/8zGBe1tmfn7EfHdwm4S2G48N/V+p52dbucmM/eJiCUUsgO8kwm5ycz7I+IfMDvTZs2x5nTKmmNuOtGtmsMMclNvPys1B1+rusaaY83phDXHmtOpadacto6P6/32rebg8fEmzbkFpnERsRVVe8NTgEdRrbYf2uY+Hr6uMyJOz8yTJ7zYPvyPlxNOc4uIZ2fmVyPif5f2nZn/r+E530Z1reYZ9dDrgX8CDqH6xfxD4G+BE6nunn8NcDJV0d4rIh5DVey3y8zHT9j3ZZnZ9L9Rqk3Izu6ZGZv4kolfP/F64Glnp4u5+T1gXWYeERFfYHJ2FlB1JtsoN5n5tIi43Oy0z5pjzenUfK45mJuOzbTmzCQ39fazUXN8reoBa4656YQ1x5rTqTlSczw+nqY5t8AUEe+jusZzK+BCqhsVnge8lOqu82fQcoMtYA3wZ1RhP7kOwz6Z+bWobhA28brOhcAjM/O+iPhrqpD93cRV9sK8tsjMh6b5PRxSfw9QXad6xnhRi4irMvPAqFo0nke1cnoE1R3qH19//dVUv2SHt6y6LqVqM/u46cxhPmrIziFULTU3yk1m3hMRW1DIDvBZCtcDU127+812sjOD3JwLrK5X90vZWUV1M72NcpOZB0TEVZidabPmWHM6Zc0xN53oVs2hi7mp59WLmuNrVRdZc6w5nbDmWHM61U7Nof3j49muOR4fT1cOQCu7bj6AMeDECWOnAzcVHjcC/0l1qt419bZbMEXLQ6rTcaE63e+7wO8yRftB4EjgWqpQQnVa3b+18f18vn77w/rtucD+VJ09bmRCy0WqU/Guomr/eD7VKXyvqN9/S79/PoP8aMjOfaXc1J/rWXZmmptpZGdNKTf1+2Zn5rmx5pibTrMzr2qOuelabuZqzfG1qvfZseaYm05yY80xO51mp1hz2s1Nu9npcW48Pm79t+r3BLr+DVU/4HOAd7SMXTbF9pe0hqF+/8qW93cFjgKeVD9+XI+/G/jDiV9b2P8PqK47bd3/NW18P7vUb19NtaL+pPp7vLMeOw14K9Wpek+nWg3++/prjqe6nvV9wDP7/bMZ9Ec3s1PIzZNaCs4mszPT3EwjO2c15cbs9C83Ddmx5szRhzXH3Ax7brqRnU5zY3aGOzvWnOF5DFJuupEda85gZmeq3HQjOz3OjcfHLY/WNn9zxSrgacA/R8RXgZcARMRLG7ZfV5+qlvV2e1GfrhcR7wFeRLXaOX7jw60j4qNUwXlPVDf8WjDVhDLzloiNLjUdbdq28LW31++uBJ5Pdcf98WtFdwb+kmo19GqqcP838LGI2BI4OzO/GRH7APtExOLMXD/d556HStnZrpSdzPwkDdlpyE0Ct7aTnZnkpv76qbID8Gsm5Kb+PsxOe6w51pxOzfuaY2460pWa063cQE9rDvha1U3WHHPTCWsO1pwOTbvm0P7x8azWHI+Pp28uLjBFZo4Ar42Ik6hOQ3sEcHjLNkuown4ZcCrwTWC3iPgMcDRwUr3d71Fd+/nw9aH19ejHA+/LzFURsQvw5inmc0tEHAVkfY3mm6huBNau/wLupbrjfus18mPAv9ePh0XVWvHYqO5U/03gEqpfzBM7eO75opSdHdiQndbcfJLm7HyUCbmBtrPTrdxAc3Ym5aZmdtpjzcGa06F5X3PMTUe6VXO6kRvofc3xtap7rDnWnE5Ycypmp33t1Jy2jo+hbzXH4+NNmIs3+X51Zn605eNDgddl5ssnbLct8DngLqrrI1ez4frJu+ptvgGckJkPzGA+OwAfBI6juiHZ2cCbMvPuNvdzTWbu3/Lx5zPzhbHh5mETjWTmIRHxBmBpVu0ZN2rxqI1NJzvjucnM4yPi0xSyM0i5qff1cHY2lZusblZ3mdmZPmvOw6w5bbLmAOambd2qOd3ITf08Xa85vlb1hjUHsOa0zZpjzelUOzUHj4/njDl3BlNriOuPLwVeXtj0QeDRwHuo7g7/dGAv4PKIODczPwg8BFwREd9h4xXKN05nLhGxEPhgZnZjhfLCiDggM6+uP35T/XYl8H3glxO2/0pEHEm1OvqKemxhF+YxZ00zO+O5Afg4hewwWLmBjbOzqdzUUzA702XNeZg1p03WHMDctK1bNYcZ5gZ6WnN8reoBaw5gzWmbNaf16c1OO9qsOR4fzxFzboGpSVTXfY6vKi4E9qO6G/x366J3OPAU4DXA46hWOM+sHx3JzNGI2CMiNsvMdTP6Bqq7458UETdR/WJFRCTwJapODvdQ3X3/C5n5q4j4E+CvgDMy80cRsSfV3fXVhqbcAEyRnXczOLmBCdmJiAB2BO5mQm7q7c1OF1hzzE0n5lvNMTfd00HNmVFuoLc1x9eq2WHNMTedsuaYnU54fDz3czPnLpFrEhG/zYYwjwA/z8xb65XQLYGLgPOA8zPzzi4+7yeBx1L9Ujw4Pp6Z729zP3uUxjPz5/XnD6S6nvP5wC8z87hO56wNmnJTf65n2elWbup9NWbH3PSONUedsOaoU3O55pib3rHmqFPWHHViLuem/vy8z86cP4MpIs7PzGOAr1GFefzW8VmvNkLVXnB/qht2rYqIizJzdUQ8hmq1fT+qm5BVX5i55zSe91OZ+UfAc4APUN3Rflmn38d4aKdwJ3AH1ar7ThHxXcrXED+10znMJ9PIzT1U1wevY0J2gEcxILmpn3eq7GyUm3oOZmcGrDmT9mNupmG+1hxzM3Od1hxmkJv6eWez5vha1WXWnEn7MDfTZM2ZtB+zMw0eH0/az5zNzZxfYKqDTGYWgxQR2wMXAr9Pdaf6TwC7UYXvE1R3tP8A1al6L2MTbTNbHBoRy4FfAP/S+XcwtYh4LfBCqlM6vwDcn5lHR3UTtXFLqFZRR3o1j7lmurnJzH0iYhlVdv6bqlhezPDl5lXA39SfPqVlU7PTJmsOYG7aNg9rjrnpkg5qTjdyA7OQHV+reseaA5ibjlhzALPTNo+PgXmSm3lziVyTiHg91c3EHgfcTHVK3qWZ+bWIuDQzD42IqzPzgHr7SzPz0OY9PrzfNwJ/THXTsttaPwXkdFfrp/E87wb+MzOvqD/eJTNvb9j2h5l5RDeeVxARbwUOAg6lys4PgW8D7x223NRjZmcWWHPUqblUc8zN7CnUnBnnpt6259nxtaq/rDnqhDVHnfD4eA7JzHn9oFqNfgKwqGXsa/XbC6lWR78MvB54HnBDm/v/8Cx/P+Nz367lsQNwfLtz99FedoY5N2anf7kZ9uyYm/5lx9z46HduzM7cflhzfAxabszO3H14fDx3HvP+DKapRMQTgGuBbYC/A7YGTsvMH/R1YlOIiG0y896o7mzfegO1m4G/zczz+za5eWIYcwNmZxAMY3bMTf+ZG3ViGHMDZmcQDGN2zE3/DWNuwOwMgmHMznzOzZy/B9MMjQKfBPYAFtdj/w4c2LcZbUJm3lu/ux/wWqpWikl1muEl/ZrXPDN0uQGzMyCGLjvmZiCYG3Vi6HIDZmdADF12zM1AGLrcgNkZEEOXnfmcG89gmkJE3AC8GbgaGBsfz03fPb7vIuLzwH3AZ+qhPwS2zcwT+jer+WGYcwNmp5+GOTvmpn/MjToxzLkBs9NPw5wdc9M/w5wbMDv9NMzZmY+58Qymqf06M8/s9yQ6tH9m7tfy8Xcj4tq+zWZ+GebcgNnpp2HOjrnpH3OjTgxzbsDs9NMwZ8fc9M8w5wbMTj8Nc3bmXW5cYJraqRHxMeA7wNrxwcz8cv+mNG2XRcQTM/P78PC1q3P6dLwBMsy5AbPTT8OcHXPTP+ZGnRjm3IDZ6adhzo656Z9hzg2YnX4a5uzMu9y4wDS1lwH7Ul3rOX46XlLdwX4gRcTVVHNcDFwYEb+oP94DuL6fc5tHhi43YHYGxNBlx9wMBHOjTgxdbsDsDIihy465GQhDlxswOwNi6LIzn3PjPZimEBE3ZOY+/Z5HOyJij6k+PwzXqg67YcwNmJ1BMIzZMTf9Z27UiWHMDZidQTCM2TE3/TeMuQGzMwiGMTvzOTeewTS1CyNiv8wcmusk53JYh8jQ5QbMzoAYuuyYm4FgbtSJocsNmJ0BMXTZMTcDYehyA2ZnQAxdduZzbjyDaQoRcR2wF3AT1fWeAWRmDmxLRPWfuVGnzI46YW7UCXOjTpkddcLcqFNmZ7i4wDSFplPb5vOKpDbN3KhTZkedMDfqhLlRp8yOOmFu1CmzM1xcYJIkSZIkSdKMLOj3BCRJkiRJkjTcXGCSJEmSJEnSjLjAJEmSJEmSpBlxgUmSJEmSJEkz8v8BGe9utGWy0FYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "tags": [],
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "text": [
      "Decoder Self Layer 1\n"
     ],
     "name": "stdout"
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "tags": [],
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "text": [
      "Decoder Src Layer 1\n"
     ],
     "name": "stdout"
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "tags": [],
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "text": [
      "Decoder Self Layer 2\n"
     ],
     "name": "stdout"
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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5wJlJCvj4yPYzgIOBS5ME+DbwpMW/NEmSJEmSJI3Tok6Fq6q3AG+Zte2twFvn2Pcc4JyRTQ+ZY5/TRu5fwsyVTC9vt28FXtneJEmSJEmSNDB9r7G0pm3ZunUi7fxo84971a3ff7HXVt/h1hs2TKSdobrTy/55pbuwU//+b/9f55o+n81Z/3lh55rdduk+hNy+ZXPnmrVua1Xnmpv/+n90rtn7he9aeKdZ7vfAfgtJn3KvYzvXnPPNi3u1NTS7rFvMWegz9fm9Uz1yM0m//ODf6lzzg0++sXPNXo96eecaDVffvz3W+t85k3Db5ttXugvz8u/j7tby7+ptNl9z/sI7aaatW1a6B4NwyJ1/qnPNF77772PoyWR0/+tWkiRJkiRJwoklSZIkSZIk9eTEkiRJkiRJknpxYkmSJEmSJEm9rKqJpSRebFySJEmSJGkgxjaxlOTgJNcm+eskVyf5eJL1Se6b5KNJLkmyIckh7f6/lOTCJJcl+Zck92i3n5bkXUkuALp/ZZEkSZIkSZLGYtwrlu4P/EVVHQZ8D3gKcDrw4qo6GjgV+N/tvp8Bjquqo4C/B0a/H/hQ4LFV9YzZDSQ5OcnGJBu3br1ljC9FkiRJkiRJo8Z9atnXqmpTe/8S4GDgYcA/Jtm2zx3bnwcC/5DkXsAdgK+NHOeDVXXrXA1U1ek0k1XseocDall7L0mSJEmSpJ0a98TSbSP3twD3AL5XVUfOse/bgLdU1QeTPBI4beQ5lyJJkiRJkiQNzKQv3v194GtJngaQxhHtc/sA17f3nzvhfkmSJEmSJKmjlfhWuGcBL0hyOXA18Mvt9tNoTpG7BLhxBfolSZIkSZKkDsZ2KlxVXQccPvL4T0eefvwc+38A+MAc208bQ/ckSZIkSZK0ROO+xpJWifX7n9i55tYbNkyknbVu83nvmkg7t22+vXPNi3t8nm/rkZu1bs877N65pr7znTH05Cftmn6/Rj7z/S93rnno3R7YuebCb3+xc824bdm6dSLtDP3bLD7+rcs71+z1qO41fX5Xgb+vpo1/56iPtZ6bc7558Up3YcX9+Kx3T6ytc/d7eOeaJ//X+WPoydKsP/CRK92FQfjK97/ZuSYL7/ITbnrdL3SuudMrP9KjpfmtxKlwkiRJkiRJmgJOLEmSJEmSJKkXJ5YkSZIkSZLUixNLkiRJkiRJ6sWJJUmSJEmSJPWyLBNLSQ5O8oUkZyf5UpL3JHlskguSfDnJQ9rb55JcluSzSR7Y1p6U5P1JPtru+8Z2+/OT/D8jbbwwyZ8tR38lSZIkSZK0dMu5Yul+wJuBQ9rbM4ETgFOBVwJfAE6sqqOAPwBeN1J7JPB04GeApyf5KeC9wC8l2a3d53nAmbMbTXJyko1JNm7dessyvhxJkiRJkiTNZ9dlPNbXqupKgCRXA+dVVSW5EjgY2Ad4Z5L7AwXsNlJ7XlXd1NZeAxxUVf+e5F+BJyS5Ftht2/FHVdXpwOkAu97hgFrG1yNJkiRJkqR5LOeKpdtG7m8debyVZgLrNcAnq+pw4JeA3XdSu4UdE15nACfRrFY6axn7KkmSJEmSpCVazhVLC9kHuL69f9JiCqrqwva0uAcDDxpTvyRJkiRJktTDJL8V7o3AnyS5jG4TWu8FLqiq746nW5IkSZIkSepjWVYsVdV1wOEjj0/ayXMPGCn7/fb5s4GzR/Z/wqzDnwD4bXCSJEmSJEkDk6phXu86yb7ARcDlVfW0xdQM+eLd+++1X+eaG37wX2Poycq69YYNvep2u+t9ssxdmWHI2fn0fsd3rnnEf31uDD35Sdc/7P6daw747JfH0JO5bf7x9Ws2N5PS99/0+v1PXOaeLK9xZsfcrA59sr2Wf1epMcS/c8zN8A0xNwC/fvDTOmfnHTd8tnM7b7rnozrXvOxbn+xc08cr9n9Er7o33vDpzjV9/qE+4u6H9aiC877x8bFl5/Ybv9r5pQz978I+pvG//+f7+3iS11jqpKq+x8wVTpIkSZIkSRqQSV5jSZIkSZIkSVPEiSVJkiRJkiT1sqiJpSQHJ7lqKQ0leWSSDy3lGJIkSZIkSRoOVyxJkiRJkiSply4TS7smeU+Sa5O8L8keSa5LcleAJMck+VR7/xFJNrW3y5Ls3R5jr7b2C+2x0u5/dJJPJ7kkyceS3KvdfkqSa5JckeTvl/F1S5IkSZIkaYm6fCvcA4EXVNUFSc4EfmOefU8FfrPddy/gR+32o4DDgBuAC4CfTXIh8Dbgl6vq20meDrwWeD7wu8BPV9VtSfadq6EkJwMnA2SXfVi3bs8OL0mSJEmSJEl9dVmx9O9VdUF7/93ACfPsewHwliSnAPtW1eZ2+0VV9Y2q2gpsAg6mmbA6HPhEkk3A7wMHtvtfAbwnybOBzcyhqk6vqmOq6hgnlSRJkiRJkiany8RSzfF488gxdt/+RNXrgV8D1gMXJDmkfeq2kfotNCumAlxdVUe2t5+pqse1+/wi8BfAg4GLk3RZYSVJkiRJkqQx6jKxdO8kx7f3nwl8BrgOOLrd9pRtOya5b1VdWVVvAC4GDmHnvgjcbduxk+yW5LAk64CfqqpPAq8A9gH26tBfSZIkSZIkjVGXiaUvAr+Z5FrgzsBfAn8I/HmSjTQrkLZ5SZKrklwB3A58ZGcHraofA08F3pDkcppT5B4G7AK8O8mVwGXAW6vqex36K0mSJEmSpDFa1KllVXUdc6862gA8YI79XzzHvp9qb9v2+a2R+5uAh89RM991nCRJkiRJkrSCuqxYkiRJkiRJknaoqjVxA05e6zVD71/f1zTOm5/N8GuWUjfO25Dfs6F/NkOuGfdt6K99yP0b+vsw7tuQ37OhfzZDrhn3beivfcj9G/r7MM6bn+f0vg/jvg39tQ+5f0Ouqao1NbG0ca3XDL1/fV/TOG9+NsOvWUrdOG9Dfs+G/tkMuWbct6G/9iH3b+jvw7hvQ37Phv7ZDLlm3Lehv/Yh92/o78M4b36e0/s+jPs29Nc+5P4NuaaqPBVOkiRJkiRJ/TixJEmSJEmSpF7W0sTS6dZMtK1JvqZx8rMZfs1S6sZpyO/Z0D+bIdeM29Bf+5D7N/T3YdyG/J4N/bMZcs24Df21D7l/Q38fxsnPs3/NJNsaWm5g+K99yP0bcg1pz6OTJEmSJEmSOllLK5YkSZIkSZK0jJxYkiRJkiRJUi9OLEmSJEmSJKkXJ5YkSZIkSZLUy1RPLCU5IslvtbcjFrH/fnPcdlug5h5J3pHkI+3jQ5O8YBFt3TfJHdv7j0xySpJ9F6hJkmcn+YP28b2TPGQRbR2U5LHt/fVJ9l5g/12SvGeh485R9+Ykh3WtG6lfl+ROfeuXS9fctDVrPjsrlZv2GKsyO+Zm+/6OOVM05vTNTbvv4MecoeQGHHNG6hxzuvVj7Llp6zpnx9zMWT+I3IBjzkid2enWD8ccpj83UzuxlOS3gfcAd29v707y4gXKLgW+DXwJ+HJ7/7oklyY5eic1ZwMfA/ZvH38JeMkiungOsCXJ/Wi+0u+ngL9doOZ/A8cDz2gf3wz8xXwFSV4IvA/4q3bTgcA/zVdTVVuAg5LcYYH+zHYtcHqSC5O8KMk+CxUk+dskd0qyJ3AVcE2Sl3Vsd9n0zA2YnYnmpu3fNGRnzecGHHOYvjGnc25g2GPO0HLT9skxB8ecriaYG+iXHXPD8HLT9skxB7PTlWNOY03kpqqm8gZcAew58nhP4IoFav4a+PmRx4+j+fCPAy7cSc3F7c/LRrZtWkT/Lm1/vgx48exjLFAz2tblC9RsAu4wq+bKRfTvb4CLgf8beOm22yLf+wcCrwe+TvMP81Hz9a/9+SzgzcBuC31OQ8uN2Zl8bqYlO+Zm8tmZhtwMPTt9ctM3O2s1N32zM+Tc9M2OY84wc9M3O+ZmmLmZZHYcc6YrO445ayc3U7tiCQiwZeTxlnbbfI6rqo9te1BVHweOr6rPA3fcSc0tSe4CFECS44CbFtG/25M8A3gu8KF220JL/G5PsstIW3cDti5Qc1tV/XjbgyS7bqtfwFfafq0D9h65zavt3yHt7UbgcuClSf5+JyW7pVna+CTgg1V1+yL7Ny59cgNmZ5tJ5QamIzvmZgfHnMY0jDl9cgPDHnOGlhtwzNnGMaebSeUG+mXH3DSGlhtwzNnG7HTjmNOY/tx0mYVaTTea2bzLgdPa2ybgJQvUfBx4BXBQe3s58AlgF9qZyTlqHgxcQBPaC2iW3B2xiP4dCrwVeEb7+KeBVyxQ8yzgg8A3gNcCXwSetkDNG4FXAl8Afg44F3jtmN7zPwP+jWZG+SGznvviTmpOAa4HPkwzyBwEbFhNuTE7k8/NtGTH3Ew+O9OQm6Fnp09uJpmdachN3+wMOTd9s+OYM8zc9M2OuRlmbiaZHcec6cqOY87ayU3aA02lJA8GTmgfbqiqyxbY/67Aq0dqLgD+kCac966qf5uj5o40M68PpPkQvgisq6rbFtG/9e1xv7iIfdfRLP/7L+AxbVvnVdW1i6h7Ac0SwtCcd3pGLfDBtzOvLwcOA3bftr2qHj1PzfOA91bVLXM8t09VLeb/NpBk16ravJh9x6Frbtoas8PK5qbdf1Vlx9zMqHPMaazqMadvbkZqV82Ys9K5afvgmOOY09kkctPW9cqOudnpcRxzFu6f2Zn7OI4587dnbuY+TrfcLPcM2VBuwGtoZgP3HHM7PzFrOte2Ofb5JZqwf619fCTNsrP5auY933OZX9fHacJ/LfAI4EzgDYuoOwB4GPDwbbcF9r8H8A7gI+3jQ4EXTHtupjU7k8rNWs7ONOZmktlZq7mZZHbMzXRlxzFnurIz9DHH3AwzN5PMjmPOdGXHMWft5GZXptdXaa7U/tYkNwMbgPOr6gM7K0jyAOBU4GDY8d7UHDOCSe5J84GtT3IUO84VvROwxyL6dxrwEOBTbRubktxngZrzkjwFeH+1n/g8r+VK5jkvsqoetEBbd6mqdyT57ar6NPDpJBcv0Obrgf8OXMOOc2kLOH+esrOBs4BXtY+/BPwDTbBXQufcgNkZMancwBRkx9zM4JgzPWPOonPT9m81jDlnM6zcgGOOY04/Y81Nu/9SsnMa5gaGlxtwzDE7/TjmrJHcTO3EUlWdBZzVBu1XacJ5MvNf7OofgbcDZzDzImNz+XngJJqvCnzLyPabac6fXMjtVXVTMuPaZQtd9OvXac5T3ZzkRzT/aKqq7jTHvk9of/5m+/Nd7c9ns7gLcd3e/vxmkl8EbgD2W6DmycADaxFLVUfctarem+T3AKpqc5KF3vux6ZkbMDvb+9b+HHduYDqyY25G+tf+dMxZ/WNOl9zA6hhzBpWbtg+OOQ3HnA4mkBtYWnbMTWNQuWn74JjTMDsdOOasndxM7cRSkjNolnD9B83M6FOBSxco21xVf7mY41fVO4F3JnlKVZ3To4tXJ3kmsEuS+9NcMOuzC7S5d5L9gPszco7lTvb9OkCSn6uqo0aeekWSS4HfXaB/f5xkH+B/AW+jmfH9nQVqvkpzFf0uIe77zQ9j0TM3YHa2mVRuYDqyY252cMyZkjGnS27a/VfDmDOo3LR9cMzBMaercecGlpwdc9MYVG7aPjjmYHa6csxZO7mZ2okl4C40V47/Hs3FtW6shS8+9c9JfoPmKu3bP4iq+q/ZOyZ5dlW9Gzg4yUtnP19Vb5m9bZYX0yw1uw34O5oLeL1mvoIkvwb8Ns1s7CaaC4d9lubCYfOU5Wer6oL2wcNovq5wXlW17esWbwIetdD+rR8Cm5Kcx8z375R5al5Kc1X9+ya5ALgbzYCzUvrkBszOtr5PKjcwHdkxNzv675gzJWNOz9y0pYMdc4aWG3DMGSlzzOlgrLmBJWfH3DSGlhtwzBkpMzsdOOZsL5vu3Ez1t8IBJPlvNMvjfgfYpaoOnGffr82xuarqJ86zTPLrVfVXSV4917Gq6g/79nme/l0JHAt8vqqOTHII8Lqq+pV5ao6mucjXPjTL9L4LPL+q5p0pTnNu618C96iqw5M8CHhiVf3xPDXPnWt7O4s8X1u7MnL1/qq6fb79J6FLbtr9zQ6TzU1bu6qzY25m1DnmTMmY0yc3bd2gx5wh5gYccxxz+hlXbtr9Bz/mmJv+HHPMTh+OOdOfm6mdWJHzOyEAAAtHSURBVEryBOBEmqug7wt8nubrDc9c4X79M/NfwOuJ89ReXFXHJtkEPLSqbktydVUdtoh292mPv9ivF/w08DLgr6pdtpfkqqo6fDH1XbQztgcz8+Jsf7Pc7SyyL4PMDayO7EwyN+2xzc7C/Rp8btr9HXMGlBvon52l5KatH+SYM6TctP0ZZHYcc+ZsazDZMTc/UWtuFt8fszOz1uwsri/mZmbt1OZmmk+F+xWapWx/XlU3ACR5w3wFSZ4z1/b53tAkdwNeyE9+CM/fScmfztvr+X0jyb7APwGfSPJd4Os76dezq+rdmbUcMO2FyWrh5aR7VNVFmXkhs3mXLaY5L/VPaM6j3X6+6c5ml9uadwH3pVlGOHrV+pX6xdk5N+0+Zqcxkdy0das+O+ZmBsec6RlzFp2btl+DH3MGmBtwzHHM6WciuWnrumTH3MysGVpuwDHH7PTjmLNGcjPNE0tHzhGiXwBeMU/NsSP3d6c5T/JS5n9DP0BzIbJ/YRFXra/mawJ7qaont3dPS/JJmqV0H93J7nu2Pxf6ZqGduTHJfWH7BbyeCnxzgZqzgFcDf0ZzDujzWPjc0WOAQ6sGs3SuT27A7GwzqdzAdGTH3OzgmLPDqh5zOuYGVseYM7TcgGOOY04/k8oNdMiOufkJQ8sNOOaYnX4ccxrTn5uqmqob8D+BK4FbgCtGbl8D3t3xWPsCH11gn009+3l/4H3ANTRXbv8q8NWVfv9G+ncfmn+UPwSuBz4DHLRAzSXtzytnb5un5h+Bew3g9S5bbtZydiaVm2nNzlrNzSSzM425WcvZWWu5We7srNXcrMXsTDo3fbNjboaVm5XIjmPOdGTHMWft5WYaVyz9LfARmuVfo1/fd3Pt5Ery87gF+OkF9vlQkv+rqj7c8dh9V2l0kuSNwB8Dt9LMpD4I+J1qrpw/n+vbPn4S2A/4PvBc4I/mqbktyTrgy0l+qz3GXjvp17bzWvcGrklyETOvWr/T81rHZDlzA2s3O2PNTduvac7OWs0NOOZs45gzoDFngLkBx5wZHHMWbdK5gX7ZMTfDyg045sxgdhbNMWfEWsjN1F68u4/MvIjXLsB/A95bVb87x743j+y7F80HsO18x6qqOy3Q1iVVdXSSK6vqZ0a3LcNLGW1nUzVXq38y8ASarxI8v6qOWKDuozRfC3kpI0sJq+rN89QcC1xLM6v8GuBOwBur6sI59n3EfO3XEpYnrgSzs71mrLlp95+a7JibGXWOOR2Yne015qYDczOjzuwsUpfctPv3zo65mZ7cgGPOrDqzs0iOOTPqVk1upnHF0lKMXsRrM/D1qvrGXDtW1d4ASd4NnE9zdftrO7TVaZXGEuzW/vxF4B+r6qbMvPjXzhxYVY/v2FYB7wIOGmn3r2lmZGfu2IY0yZ7ArVW1Nc3XKR5CM7u92pidxlhzA1OXHXOzg2NON2anYW66MTc7mJ3FW3RuYMnZMTdMTW7AMWeU2Vk8x5wdVk1uXLE0S5J7sOOCYRdV1X8usP+jaL5C8USaK6lfShPmP1+grtMqjb6SvB54Es2yu4e07X2oqh66QN3pwNuq6soObX2R5usQrwS2btteVfN9G9AlNO/dnYELgIuBH1fVsxbb7lCYncnlpq2biuyYm+11jjkdmR1z04e52V5ndjrompu2pnN2zM32mqnIDTjmjNSZnQ4cc7bXrZrcOLE0IsmvAm8CPgWE5s19WVW9b4G6XWiC/yjgRTSzfYcsUHMM8CpmziRWVc25SqOvJHekuRr9TVW1pZ2N3Kuq/mOBumuA+9FcYO02mvdj3v4l+UxVndCxf5dW1YOTvBhYX1VvTHJ5LbAscGjMzvaaieSmrVv12TE3M+occzowO9trzE0H5mZGndlZpL65aWs7ZcfcbK9Z9bkBx5xZdWZnkRxzZtStmtx4KtxMrwKO3TYjmuRuNFdh32mIk5xHE5LP0Xy94fb6BbyHOWYSx+BzVfXgbQ+q6pYkG4AHz1MDzddAdvXqJGcA5zHzol/vn6cmSY4HngW8oN227BdMmwCz05hUbmA6smNudnDM6cbsNMxNN+ZmB7OzeJ1z0+7XJzvmpjENuQHHnFFmZ/Ecc3ZYNblxYmmmdbPC9x0WfkOvAI4GDgduAr6X5HNVdesCdd+uqg/27+r8ktwTOABYn+QomtlNaJb37bFQfS1wGtJOPI/mfMzd2PEPs4D5QvwS4PeAc6vq6iT3obnq/WpjdphobmA6smNuWo45nZkdzE0P5qZldjrpkxvolx1z05iG3IBjznZmpxPHnNZqyo2nwo1I8zWARwB/1256OnBFVb1iEbV7AycBpwL3rKo7LrD/Y4Bn0H2VxqIkeW7bn2OAjSNP3QycvVztzGrzi1X1wOU+7mpgdpbUnrkxN33bNDtmp0975sbc9G1zTWZnKblp6xedHXMzXRxzltzmmsyOY86S21yR3LhiaaZv0CydO7F9fHpVnTtfQZqrx59IMzt6HXAmzdK7hfRdpbEoVfVO4J1JnlJV5yzHMRfhs0kOraprFluQ5JPs+HrI7arq0cvas/EzO/11zg1MTXbMzdI45pidPsyNuelrrWanc26gd3bMDVOTG3DMWaq1mh3HnKVZkdw4sTTT3YFTaK4gfybwsUXU7A68BbikqjZ3aOvYCc0kHp7ksNkbq+qPxtDWccCmJIu+uBjNTPI2uwNPoflaydXG7PTXJzcwHdkxN0vjmGN2+jA35qavtZqdPrmBftkxN41pyA045izVWs2OY87SrEhuPBVuliQBHkcze3kM8F7gHVX1lWVu5yzgTV1XafRo53+NPNwdeAJwbVU9fwxtHTTX9q7nhia5qKoesjy9mhyz07udZclNe6xVlx1zs6S2HHPMTp92zI256dvWms2OuVlSW2s2N2B2ltjWms2OuVlSWyuSG1cszVJVleRbwLdoZunuDLwvySeq6uXL2FTfVRqdVNWbRx8n+VMWP+vbta0+EwH7jTxcRzNw7LNsnZogs9O7nT4XpZua7JibJbXlmGN2+rRjbsxN37bWbHbMzZLaWrO5AbOzxLbWbHbMzZLaWpHcOLE0IslvA88BbgTOAF5WVbcnWQd8GVjOED9+GY/VxR7AgSvU9lwuYcf5nJtpzod9wU73HiizsyJWfXbMzYpY9bkBs7MCzE135qax6rNjblbEqs8NmJ0VsuqzY25WxJJz48TSTPsBvzJ7lq+qtiZ5wnI21HeVRldJrmRHSNbRnLP6mkm0vUiHAr8BnEDTzw3MvGL+amF2Jm8asmNuJm8acgNmZ9LMTUfmZrtpyI65mbxpyA2YnZUwDdkxN5O35Nx4jaUp155jeWeaK+TvC3y4qi5Z2V7tkOS9wPeB97SbngnsW1VPW7leCcyO+jE36mvI2TE3wzXk3IDZGSpzo77MjvpYC7lxYmnKJTkFeCHNVyYGeBLw11X1thXtWCvJNVV16ELbNHlmR32YG/U15OyYm+Eacm7A7AyVuVFfZkd9rIXceCrc9Ps14LiqugUgyRuAzwGDCDFwaZLjqurzAEkeyupbrjmtzI76MDfqa8jZMTfDNeTcgNkZKnOjvsyO+pj63DixNP0CbBl5vKXdtqJGzjPdDfhskv+/fXwQ8IWV7Ju2Mzvqw9yor8Flx9ysCoPLDZidVcDcqC+zoz6mPjdOLE2/s4ALk5zbPn4S8I4V7M82y3rhNY2F2VEf5kZ9DTE75mb4hpgbMDtDZ27Ul9lRH1OfG6+xtAYkeTDNFd4BNlTVZSvZH60eZkd9mBv1ZXbUh7lRH+ZGfZkd9THtuXFiSZIkSZIkSb2sW+kOSJIkSZIkaXVyYkmSJEmSJEm9OLEkSZIkSZKkXpxYkiRJkiRJUi//B/tCRcAjv/wLAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "tags": [],
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "text": [
      "Decoder Src Layer 2\n"
     ],
     "name": "stdout"
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "tags": [],
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "text": [
      "Decoder Self Layer 3\n"
     ],
     "name": "stdout"
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "tags": [],
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "text": [
      "Decoder Src Layer 3\n"
     ],
     "name": "stdout"
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "tags": [],
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "text": [
      "Decoder Self Layer 4\n"
     ],
     "name": "stdout"
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "tags": [],
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "text": [
      "Decoder Src Layer 4\n"
     ],
     "name": "stdout"
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "tags": [],
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "text": [
      "Decoder Self Layer 5\n"
     ],
     "name": "stdout"
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "tags": [],
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "text": [
      "Decoder Src Layer 5\n"
     ],
     "name": "stdout"
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "tags": [],
      "needs_background": "light"
     }
    }
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    },
    "id": "L_MnDIEMiFcf"
   },
   "source": [
    "As the model picks up on more signal, we would expect more distinct patterns as the attention layers learn the relationship\n",
    "between different tokens both within a sequence and across encoder-decoder.\n",
    "\n",
    "Refer to the README for a more in-depth overview of the attention patterns."
   ]
  }
 ]
}