{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2020-09-22T06:42:11.941514Z",
     "iopub.status.busy": "2020-09-22T06:42:11.940819Z",
     "iopub.status.idle": "2020-09-22T06:42:22.280499Z",
     "shell.execute_reply": "2020-09-22T06:42:22.279489Z"
    },
    "papermill": {
     "duration": 10.362936,
     "end_time": "2020-09-22T06:42:22.280781",
     "exception": false,
     "start_time": "2020-09-22T06:42:11.917845",
     "status": "completed"
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "sys.path.append('..')\n",
    "import tensorflow as tf\n",
    "from src.lucid import make_lucid_dataset, lucid_model_factory, print_model_nodes\n",
    "import lucid.optvis.transform as transform\n",
    "from src.experiment_tagging import get_model_path\n",
    "from src.utils import get_model_paths, load_model2, suppress, all_logging_disabled\n",
    "from src.visualization import run_spectral_cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2020-09-22T06:42:22.310811Z",
     "iopub.status.busy": "2020-09-22T06:42:22.308710Z",
     "iopub.status.idle": "2020-09-22T06:42:22.318498Z",
     "shell.execute_reply": "2020-09-22T06:42:22.324364Z"
    },
    "papermill": {
     "duration": 0.03597,
     "end_time": "2020-09-22T06:42:22.324701",
     "exception": false,
     "start_time": "2020-09-22T06:42:22.288731",
     "status": "completed"
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "model_tags = ('CNN-VGG-CIFAR10', 'CNN-VGG-CIFAR10+DROPOUT+L2REG')\n",
    "transforms = []\n",
    "side_len = 32\n",
    "n_clust = 12\n",
    "n_reps = 5\n",
    "\n",
    "transform_jitter = 2  # 0\n",
    "transform_scale = 1.1  # 1\n",
    "transform_rotate = 0  # 0\n",
    "if transform_jitter != 0:\n",
    "    transforms.append(transform.jitter(transform_jitter))\n",
    "if transform_scale != 1:\n",
    "    transforms.append(transform.random_scale([transform_scale ** (n/10.) for n in range(-10, 11)]))\n",
    "if transform_rotate != 0:\n",
    "    transforms.append(transform.random_rotate(range(-transform_rotate, transform_rotate+1)))\n",
    "transforms.append(transform.crop_or_pad_to(side_len, side_len))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2020-09-22T06:42:22.386282Z",
     "iopub.status.busy": "2020-09-22T06:42:22.384271Z",
     "iopub.status.idle": "2020-09-23T04:14:49.223314Z",
     "shell.execute_reply": "2020-09-23T04:14:49.222764Z"
    },
    "papermill": {
     "duration": 77546.876776,
     "end_time": "2020-09-23T04:14:49.223504",
     "exception": false,
     "start_time": "2020-09-22T06:42:22.346728",
     "status": "completed"
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/optvis/param/spatial.py:82: The name tf.spectral.irfft2d is deprecated. Please use tf.signal.irfft2d instead.\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/optvis/param/spatial.py:82: The name tf.spectral.irfft2d is deprecated. Please use tf.signal.irfft2d instead.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/optvis/render.py:242: The name tf.train.AdamOptimizer is deprecated. Please use tf.compat.v1.train.AdamOptimizer instead.\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/optvis/render.py:242: The name tf.train.AdamOptimizer is deprecated. Please use tf.compat.v1.train.AdamOptimizer instead.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/optvis/render.py:170: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/optvis/render.py:170: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/optvis/render.py:171: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/optvis/render.py:171: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/optvis/transform.py:38: The name tf.random_crop is deprecated. Please use tf.image.random_crop instead.\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/optvis/transform.py:38: The name tf.random_crop is deprecated. Please use tf.image.random_crop instead.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/optvis/transform.py:141: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/optvis/transform.py:141: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/optvis/transform.py:83: The name tf.image.resize_bilinear is deprecated. Please use tf.compat.v1.image.resize_bilinear instead.\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/optvis/transform.py:83: The name tf.image.resize_bilinear is deprecated. Please use tf.compat.v1.image.resize_bilinear instead.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/optvis/transform.py:160: The name tf.image.resize_image_with_crop_or_pad is deprecated. Please use tf.image.resize_with_crop_or_pad instead.\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/optvis/transform.py:160: The name tf.image.resize_image_with_crop_or_pad is deprecated. Please use tf.image.resize_with_crop_or_pad instead.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/modelzoo/util.py:58: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/modelzoo/util.py:58: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/misc/io/loading.py:129: The name tf.GraphDef is deprecated. Please use tf.compat.v1.GraphDef instead.\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/misc/io/loading.py:129: The name tf.GraphDef is deprecated. Please use tf.compat.v1.GraphDef instead.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/misc/redirected_relu_grad.py:95: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.where in 2.0, which has the same broadcast rule as np.where\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /root/.local/share/virtualenvs/nn_clustering-Lo7V74L4/src/lucid/lucid/misc/redirected_relu_grad.py:95: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.where in 2.0, which has the same broadcast rule as np.where\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From ../src/lucid.py:93: The name tf.global_variables_initializer is deprecated. Please use tf.compat.v1.global_variables_initializer instead.\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From ../src/lucid.py:93: The name tf.global_variables_initializer is deprecated. Please use tf.compat.v1.global_variables_initializer instead.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loss: 510.5989990234375\n"
     ]
    },
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     "text": [
      "random losses: [52.384, 54.826, 73.752, 51.992, 209.799, 92.557, 14.827, 0.0, 52.149]\n"
     ]
    },
    {
     "data": {
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      "loss: 212.44000244140625\n"
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     "text": [
      "random losses: [52.007, 65.71, 50.614, 32.524, 23.103, 8.624, 49.469, 49.041, 66.829]\n"
     ]
    },
    {
     "data": {
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      "loss: 115.09700012207031\n"
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     "text": [
      "random losses: [30.822, 0.0, 0.0, 0.0, 8.32, 12.702, 0.0, 21.479, 0.0]\n"
     ]
    },
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      "loss: 218.38400268554688\n"
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      "random losses: [1.827, 1.277, 34.461, 19.181, 26.211, 28.836, 12.511, 0.24, 0.358]\n"
     ]
    },
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      "loss: 5.956999778747559\n"
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     "text": [
      "random losses: [180.117, 72.795, 119.863, 183.808, 158.097, 149.645, 140.166, 135.117, 191.783]\n"
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    },
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     "text": [
      "random losses: [0.984, 21.25, 41.697, 1.714, 71.143, 34.677, 2.158, 15.862, 68.484]\n"
     ]
    },
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      "loss: 5.629000186920166\n"
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     "data": {
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     "text": [
      "random losses: [19.878, 61.74, 52.307, 36.05, 33.081, 29.32, 92.26, 48.845, 43.288]\n"
     ]
    },
    {
     "data": {
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      "loss: 14.944000244140625\n"
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     "text": [
      "random losses: [0.805, 21.272, 0.709, 1.316, 0.403, 0.0, 8.219, 3.63, 0.918]\n"
     ]
    },
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     "text": [
      "loss: 5.635000228881836\n"
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     "text": [
      "random losses: [1.644, 2.105, 1.735, 1.054, 2.533, 9.407, 10.754, 3.812, 0.0]\n"
     ]
    },
    {
     "data": {
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      "loss: 66.88099670410156\n"
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     "text": [
      "random losses: [95.476, 121.287, 154.291, 117.285, 106.859, 153.037, 106.037, 117.242, 88.806]\n"
     ]
    },
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     "data": {
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     "text": [
      "loss: 26.2450008392334\n"
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     ]
    },
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [50.037, 60.067, 83.06, 91.568, 79.646, 55.544, 60.372, 99.775, 81.693]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 75.38700103759766\n"
     ]
    },
    {
     "data": {
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       "              0 <br/>\n",
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [30.405, 9.712, 49.577, 28.582, 39.984, 25.792, 38.829, 49.35, 16.37]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 57.77799987792969\n"
     ]
    },
    {
     "data": {
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     "text": [
      "random losses: [32.056, 20.879, 29.168, 2.282, 4.304, 0.949, 14.732, 6.825, 12.184]\n"
     ]
    },
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      "loss: 243.53799438476562\n"
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     "text": [
      "random losses: [125.252, 140.305, 125.516, 198.044, 130.63, 137.157, 156.693, 195.544, 130.395]\n"
     ]
    },
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      "loss: 25.774999618530273\n"
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     "text": [
      "random losses: [1.211, 26.274, 1.633, 1.037, 1.617, 4.307, 9.088, 16.321, 0.769]\n"
     ]
    },
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      "loss: 185.572998046875\n"
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     "text": [
      "random losses: [38.601, 48.237, 43.61, 71.701, 44.667, 63.824, 53.213, 69.301, 42.749]\n"
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      "loss: 3.5799999237060547\n"
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      "random losses: [1.289, 1.238, 1.875, 1.371, 1.131, 2.311, 2.06, 1.634, 1.326]\n"
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      "random losses: [0.769, 0.785, 0.0, 0.0, 0.0, 0.951, 0.332, 0.616, 0.0]\n"
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     "text": [
      "random losses: [107.0, 144.67, 145.069, 103.9, 104.552, 97.999, 100.115, 117.923, 103.249]\n"
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     "text": [
      "random losses: [178.44, 129.573, 157.192, 181.681, 277.514, 104.381, 182.094, 204.413, 199.189]\n"
     ]
    },
    {
     "data": {
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      "loss: 343.47100830078125\n"
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     "text": [
      "random losses: [0.0, 72.716, 0.0, 41.845, 0.0, 0.0, 45.399, 0.0, 0.0]\n"
     ]
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      "loss: 68.89099884033203\n"
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     "text": [
      "random losses: [32.117, 42.057, 0.0, 0.0, 0.0, 0.0, 27.369, 0.0, 0.0]\n"
     ]
    },
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     "data": {
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      "loss: 338.0780029296875\n"
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     "text": [
      "random losses: [22.94, 71.384, 28.019, 33.363, 47.607, 39.818, 36.483, 58.611, 0.0]\n"
     ]
    },
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      "loss: 51.18299865722656\n"
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     "text": [
      "random losses: [90.352, 79.024, 90.27, 87.572, 99.177, 100.937, 57.441, 90.46, 157.302]\n"
     ]
    },
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      "random losses: [42.973, 0.369, 0.999, 1.353, 19.392, 20.714, 2.991, 0.439, 14.824]\n"
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     "text": [
      "random losses: [16.045, 14.693, 22.737, 9.295, 12.022, 11.803, 1.345, 15.767, 11.254]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 14.656000137329102\n"
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     "name": "stdout",
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     "text": [
      "random losses: [83.426, 75.709, 46.175, 50.902, 82.928, 48.44, 45.297, 31.657, 53.583]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 116.05500030517578\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [1.111, 1.009, 1.141, 0.972, 1.1, 3.68, 12.862, 9.16, 0.325]\n"
     ]
    },
    {
     "data": {
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      "loss: 8.621000289916992\n"
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     "text": [
      "random losses: [1.415, 1.024, 8.962, 0.382, 1.836, 0.651, 8.909, 1.588, 2.189]\n"
     ]
    },
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     "text": [
      "loss: 67.00900268554688\n"
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    {
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     "output_type": "stream",
     "text": [
      "random losses: [16.95, 20.392, 4.459, 19.893, 7.737, 12.777, 10.577, 4.19, 0.288]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 69.75499725341797\n"
     ]
    },
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     "text": [
      "random losses: [20.831, 17.529, 21.927, 25.605, 23.052, 41.599, 39.726, 17.79, 29.143]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 25.691999435424805\n"
     ]
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     "text": [
      "random losses: [3.38, 1.014, 7.463, 1.042, 4.688, 1.845, 0.0, 1.973, 7.656]\n"
     ]
    },
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      "loss: 88.13700103759766\n"
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     "text": [
      "random losses: [56.907, 96.782, 57.337, 52.604, 50.015, 68.097, 76.365, 56.727, 86.246]\n"
     ]
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      "loss: 83.22000122070312\n"
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     "text": [
      "random losses: [66.619, 118.418, 57.377, 59.859, 62.905, 52.687, 82.325, 60.009, 72.227]\n"
     ]
    },
    {
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      "loss: 137.06300354003906\n"
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     "text": [
      "random losses: [44.688, 49.722, 58.834, 21.675, 23.197, 26.813, 37.928, 17.063, 36.113]\n"
     ]
    },
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      "loss: 98.60800170898438\n"
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     },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [8.38, 21.271, 58.539, 16.39, 32.12, 3.584, 25.244, 13.846, 32.634]\n"
     ]
    },
    {
     "data": {
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      "loss: 8.248000144958496\n"
     ]
    },
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     "text": [
      "random losses: [15.308, 6.581, 5.15, 5.233, 12.291, 4.728, 11.079, 15.182, 6.264]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 1392.93994140625\n"
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    },
    {
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       "              0 <br/>\n",
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     "text": [
      "random losses: [152.851, 184.112, 275.377, 269.475, 441.045, 198.073, 472.417, 287.657, 160.758]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 366.77099609375\n"
     ]
    },
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       "              0 <br/>\n",
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     "text": [
      "random losses: [122.341, 57.27, 0.0, 32.803, 81.335, 133.192, 95.268, 94.822, 39.377]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 325.3869934082031\n"
     ]
    },
    {
     "data": {
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       "              0 <br/>\n",
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     "text": [
      "random losses: [98.144, 53.902, 99.977, 22.518, 21.905, 60.822, 59.468, 126.305, 34.491]\n"
     ]
    },
    {
     "data": {
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      "loss: 62.255001068115234\n"
     ]
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     "text": [
      "random losses: [0.0, 34.275, 0.0, 0.0, 0.0, 0.423, 0.532, 0.0, 0.163]\n"
     ]
    },
    {
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      "loss: 0.8730000257492065\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [106.884, 92.243, 252.21, 262.973, 240.911, 100.119, 73.964, 262.739, 64.53]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 2.2839999198913574\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [96.801, 176.635, 154.087, 148.568, 141.527, 123.054, 131.216, 65.521, 248.912]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 93.71099853515625\n"
     ]
    },
    {
     "data": {
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      "random losses: [0.0, 0.0, 16.014, 0.0, 4.664, 0.0, 0.0, 22.561, 0.0]\n"
     ]
    },
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      "loss: 1.4850000143051147\n"
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      "random losses: [0.0, 26.002, 0.163, 0.072, 0.0, 0.0, 0.0, 0.0, 0.0]\n"
     ]
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      "loss: 174.4510040283203\n"
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     "text": [
      "random losses: [0.526, 0.664, 59.29, 40.468, 12.366, 54.617, 56.562, 85.402, 31.949]\n"
     ]
    },
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      "loss: 11.753000259399414\n"
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     "text": [
      "random losses: [3.705, 17.763, 3.826, 0.461, 15.568, 19.272, 0.787, 24.196, 0.234]\n"
     ]
    },
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      "loss: 70.7020034790039\n"
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     "text": [
      "random losses: [36.744, 38.282, 31.205, 35.032, 45.36, 26.549, 9.824, 9.025, 47.936]\n"
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    },
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      "loss: 0.0\n"
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     "text": [
      "random losses: [0.468, 0.53, 30.523, 23.704, 1.342, 1.133, 2.059, 1.109, 10.068]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 51.6349983215332\n"
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     "text": [
      "random losses: [18.074, 48.256, 0.0, 0.552, 0.267, 0.0, 16.533, 0.274, 0.239]\n"
     ]
    },
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     "data": {
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      "loss: 92.96399688720703\n"
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     "text": [
      "random losses: [0.234, 14.141, 4.888, 16.8, 0.0, 14.529, 4.551, 0.334, 2.637]\n"
     ]
    },
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     "text": [
      "random losses: [4.453, 12.858, 1.11, 4.045, 13.742, 1.107, 3.123, 6.681, 2.809]\n"
     ]
    },
    {
     "data": {
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      "loss: 195.54400634765625\n"
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     "text": [
      "random losses: [105.589, 121.575, 126.014, 132.076, 183.708, 156.182, 129.321, 137.441, 110.553]\n"
     ]
    },
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     "text": [
      "loss: 77.49099731445312\n"
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    },
    {
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       "              0 <br/>\n",
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     },
     "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [24.889, 84.191, 37.754, 18.646, 30.596, 29.51, 23.745, 15.363, 30.376]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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     "text": [
      "loss: 139.5590057373047\n"
     ]
    },
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     "data": {
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       "              0 <br/>\n",
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [69.068, 32.707, 46.535, 39.85, 51.954, 37.474, 38.939, 30.993, 41.173]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 493.2489929199219\n"
     ]
    },
    {
     "data": {
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     "text": [
      "random losses: [30.675, 31.793, 23.775, 39.077, 35.239, 59.343, 52.387, 52.601, 208.109]\n"
     ]
    },
    {
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      "loss: 66.3010025024414\n"
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     "text": [
      "random losses: [24.358, 22.936, 23.809, 25.328, 34.885, 11.465, 25.867, 19.256, 37.173]\n"
     ]
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      "loss: 4.76200008392334\n"
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       "              0 <br/>\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [2.982, 2.146, 2.137, 2.5, 0.872, 2.011, 2.272, 1.835, 2.976]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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     "text": [
      "loss: 297.85198974609375\n"
     ]
    },
    {
     "data": {
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       "              0 <br/>\n",
       "              <img src=\"data:image/PNG;base64,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\" style=\"image-rendering: pixelated;\">\n",
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     "text": [
      "random losses: [259.592, 259.618, 278.884, 255.792, 239.757, 240.789, 215.112, 232.29, 281.589]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 364.4309997558594\n"
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    },
    {
     "data": {
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       "              0 <br/>\n",
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     "text": [
      "random losses: [304.944, 336.331, 309.971, 250.458, 389.704, 288.14, 323.298, 250.758, 272.788]\n"
     ]
    },
    {
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      "loss: 499.2130126953125\n"
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     "text": [
      "random losses: [109.852, 88.409, 217.559, 145.381, 129.198, 240.527, 91.295, 149.852, 196.607]\n"
     ]
    },
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      "loss: 343.20098876953125\n"
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     "text": [
      "random losses: [43.083, 0.0, 124.803, 0.0, 0.0, 0.0, 35.874, 78.494, 118.482]\n"
     ]
    },
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     "data": {
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      "loss: 254.0760040283203\n"
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     "text": [
      "random losses: [29.595, 46.002, 23.499, 27.512, 45.447, 51.595, 0.0, 24.888, 0.0]\n"
     ]
    },
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     "text": [
      "loss: 211.0469970703125\n"
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      "random losses: [28.872, 0.0, 30.728, 50.835, 81.021, 0.0, 12.646, 0.0, 0.0]\n"
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     "text": [
      "random losses: [165.263, 153.618, 205.311, 78.13, 106.383, 124.78, 174.051, 189.24, 159.811]\n"
     ]
    },
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      "loss: 13.569000244140625\n"
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     "text": [
      "random losses: [21.669, 12.627, 25.238, 26.517, 35.636, 14.062, 28.376, 20.784, 22.834]\n"
     ]
    },
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     "text": [
      "random losses: [2.473, 0.0, 0.67, 0.625, 0.506, 24.915, 0.378, 0.696, 0.832]\n"
     ]
    },
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      "loss: 46.52199935913086\n"
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     "text": [
      "random losses: [12.809, 2.822, 2.856, 47.807, 13.13, 37.135, 17.831, 28.139, 25.293]\n"
     ]
    },
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     "text": [
      "random losses: [1.127, 0.633, 9.241, 8.551, 8.932, 19.163, 0.741, 17.833, 1.152]\n"
     ]
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      "loss: 19.94700050354004\n"
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     "output_type": "stream",
     "text": [
      "random losses: [4.494, 1.774, 17.984, 0.0, 0.0, 0.977, 0.411, 0.27, 13.886]\n"
     ]
    },
    {
     "data": {
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      "loss: 18.732999801635742\n"
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    },
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     "output_type": "stream",
     "text": [
      "random losses: [4.253, 8.794, 5.306, 17.545, 38.742, 13.525, 1.364, 1.22, 15.918]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 34.37200164794922\n"
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     "text": [
      "random losses: [34.515, 0.198, 0.188, 0.431, 0.192, 0.244, 0.482, 0.311, 0.0]\n"
     ]
    },
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     "data": {
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      "loss: 72.97799682617188\n"
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     "text": [
      "random losses: [29.394, 30.832, 52.065, 37.193, 28.85, 33.073, 42.812, 57.846, 42.276]\n"
     ]
    },
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     "text": [
      "loss: 44.91299819946289\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [26.43, 23.228, 27.314, 38.85, 16.962, 9.383, 13.358, 5.03, 30.42]\n"
     ]
    },
    {
     "data": {
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      "loss: 78.32499694824219\n"
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     "text": [
      "random losses: [19.017, 38.216, 45.358, 44.275, 41.712, 38.809, 92.215, 61.666, 54.011]\n"
     ]
    },
    {
     "data": {
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      "loss: 101.52100372314453\n"
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     "text": [
      "random losses: [65.492, 63.918, 81.881, 793.353, 112.257, 63.404, 82.032, 91.378, 64.488]\n"
     ]
    },
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      "loss: 72.74400329589844\n"
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     "text": [
      "random losses: [326.781, 140.325, 229.055, 213.89, 150.058, 389.404, 174.509, 282.612, 291.397]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 375.7539978027344\n"
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    },
    {
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     "text": [
      "random losses: [175.386, 119.508, 0.0, 43.88, 80.402, 73.555, 72.606, 129.024, 143.4]\n"
     ]
    },
    {
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     "text": [
      "loss: 711.8170166015625\n"
     ]
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     "text": [
      "random losses: [44.544, 40.391, 41.712, 137.163, 37.335, 21.322, 17.064, 70.644, 39.849]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 280.5660095214844\n"
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    },
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     "data": {
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       "              0 <br/>\n",
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     "text": [
      "random losses: [44.95, 19.475, 54.144, 36.648, 34.977, 41.464, 0.0, 27.071, 33.106]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 846.2449951171875\n"
     ]
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     "output_type": "stream",
     "text": [
      "random losses: [16.379, 22.505, 27.931, 78.894, 147.904, 380.839, 62.813, 65.98, 29.147]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 0.0\n"
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    {
     "data": {
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       "              0 <br/>\n",
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     "output_type": "stream",
     "text": [
      "random losses: [300.465, 58.067, 310.585, 43.518, 255.858, 260.544, 270.181, 180.729, 53.154]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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     "text": [
      "loss: 23.81999969482422\n"
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    },
    {
     "data": {
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       "<div style=\"display: flex; flex-direction: row;\"><div style=\"margin-right:10px; margin-top: 4px;\">\n",
       "              0 <br/>\n",
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      "random losses: [29.478, 208.868, 36.308, 325.665, 49.188, 61.743, 31.57, 36.674, 35.971]\n"
     ]
    },
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     "name": "stdout",
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     "text": [
      "random losses: [48.272, 78.897, 418.789, 359.536, 289.622, 276.131, 173.838, 238.898, 357.917]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 72.03299713134766\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [16.669, 147.822, 55.892, 30.668, 22.085, 96.209, 15.964, 72.395, 15.098]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 141.43899536132812\n"
     ]
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     "data": {
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       "              0 <br/>\n",
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     },
     "metadata": {},
     "output_type": "display_data"
    },
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     "output_type": "stream",
     "text": [
      "random losses: [22.101, 69.736, 51.191, 70.798, 31.477, 0.0, 13.817, 12.63, 20.789]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 2413.134033203125\n"
     ]
    },
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     "data": {
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       "              0 <br/>\n",
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     "text": [
      "random losses: [1214.472, 889.286, 1021.144, 957.92, 200.683, 1215.195, 787.672, 1029.164, 147.473]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 51.608001708984375\n"
     ]
    },
    {
     "data": {
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     "text": [
      "random losses: [29.585, 107.416, 15.099, 235.588, 130.608, 145.97, 114.078, 73.013, 20.823]\n"
     ]
    },
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      "loss: 647.8699951171875\n"
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      "random losses: [348.083, 215.297, 185.024, 194.258, 384.647, 250.9, 51.786, 258.656, 370.059]\n"
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     "text": [
      "random losses: [1.138, 1.976, 2.38, 2.035, 1.351, 1.965, 1.863, 1.62, 1.493]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 313.2130126953125\n"
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    },
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     "text": [
      "random losses: [382.711, 220.575, 236.644, 286.063, 240.657, 179.45, 239.369, 350.839, 321.698]\n"
     ]
    },
    {
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      "loss: 374.0069885253906\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [251.716, 255.5, 245.599, 314.488, 227.663, 294.202, 201.548, 304.214, 251.41]\n"
     ]
    },
    {
     "data": {
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      "loss: 1094.7020263671875\n"
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     "data": {
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       "              0 <br/>\n",
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     "text": [
      "random losses: [162.872, 278.093, 131.385, 81.703, 119.147, 301.767, 309.551, 159.004, 124.806]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 686.2050170898438\n"
     ]
    },
    {
     "data": {
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     "text": [
      "random losses: [0.0, 0.0, 0.0, 10.261, 0.0, 26.974, 11.389, 25.103, 31.072]\n"
     ]
    },
    {
     "data": {
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      "loss: 0.0\n"
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       "              0 <br/>\n",
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     "output_type": "stream",
     "text": [
      "random losses: [37.328, 158.064, 37.08, 235.744, 45.725, 140.804, 75.876, 65.887, 66.661]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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     "text": [
      "loss: 494.14898681640625\n"
     ]
    },
    {
     "data": {
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     "text": [
      "random losses: [13.163, 72.635, 27.35, 45.925, 0.0, 0.0, 0.0, 0.0, 21.72]\n"
     ]
    },
    {
     "data": {
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      "loss: 0.11800000071525574\n"
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     "text": [
      "random losses: [194.65, 164.477, 113.13, 163.585, 262.793, 106.92, 192.988, 63.402, 116.074]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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     "text": [
      "loss: 102.31800079345703\n"
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    },
    {
     "data": {
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       "              0 <br/>\n",
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     "text": [
      "random losses: [112.849, 84.842, 25.189, 16.841, 16.465, 7.824, 0.905, 4.489, 40.617]\n"
     ]
    },
    {
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      "loss: 11.093000411987305\n"
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     "text": [
      "random losses: [117.465, 543.565, 457.482, 526.17, 310.198, 130.837, 262.636, 323.578, 604.877]\n"
     ]
    },
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      "loss: 45.67100143432617\n"
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     "text": [
      "random losses: [0.365, 27.259, 0.291, 0.588, 14.56, 5.071, 77.141, 46.071, 3.012]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 139.23699951171875\n"
     ]
    },
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     "text": [
      "random losses: [0.392, 0.158, 0.96, 30.985, 7.346, 2.457, 0.562, 6.665, 2.575]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 77.01699829101562\n"
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     "text": [
      "random losses: [1.93, 0.0, 2.706, 0.0, 0.0, 0.0, 0.0, 0.609, 1.191]\n"
     ]
    },
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     "data": {
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      "loss: 15.175000190734863\n"
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     "text": [
      "random losses: [5.297, 10.709, 115.216, 35.251, 67.229, 13.759, 44.605, 0.66, 1.18]\n"
     ]
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      "loss: 313.5350036621094\n"
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     "text": [
      "random losses: [54.036, 16.109, 22.282, 68.732, 38.394, 43.524, 0.477, 0.0, 0.223]\n"
     ]
    },
    {
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      "loss: 365.7959899902344\n"
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     "text": [
      "random losses: [45.807, 203.498, 54.299, 48.617, 117.521, 49.211, 71.654, 135.941, 99.078]\n"
     ]
    },
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      "loss: 447.6650085449219\n"
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     "text": [
      "random losses: [4.987, 48.408, 38.017, 177.214, 104.725, 147.105, 89.94, 103.642, 220.617]\n"
     ]
    },
    {
     "data": {
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      "loss: 543.2990112304688\n"
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     "text": [
      "random losses: [270.157, 291.965, 321.366, 342.967, 159.137, 303.912, 183.725, 340.159, 266.998]\n"
     ]
    },
    {
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     "text": [
      "loss: 386.2919921875\n"
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     "text": [
      "random losses: [37.739, 83.063, 2.488, 50.719, 54.651, 75.274, 80.6, 70.818, 25.186]\n"
     ]
    },
    {
     "data": {
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      "loss: 177.61500549316406\n"
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     "text": [
      "random losses: [49.608, 34.312, 85.249, 25.007, 87.903, 16.841, 84.542, 154.298, 118.973]\n"
     ]
    },
    {
     "data": {
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      "loss: 1377.626953125\n"
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    },
    {
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       "              0 <br/>\n",
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    {
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     "text": [
      "random losses: [637.505, 705.322, 613.643, 777.195, 779.38, 846.566, 802.936, 584.861, 759.389]\n"
     ]
    },
    {
     "data": {
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      "loss: 1769.7939453125\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [180.785, 454.758, 236.94, 91.293, 258.998, 325.125, 130.458, 587.699, 329.635]\n"
     ]
    },
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      "loss: 905.177978515625\n"
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     "text": [
      "random losses: [52.82, 48.636, 173.876, 81.262, 267.357, 0.0, 0.0, 144.016, 30.26]\n"
     ]
    },
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      "loss: 1013.6290283203125\n"
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     "text": [
      "random losses: [0.0, 114.643, 28.495, 17.762, 0.0, 89.262, 87.13, 180.303, 41.488]\n"
     ]
    },
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     "text": [
      "loss: 364.0769958496094\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [67.488, 58.479, 60.787, 25.884, 88.682, 187.849, 0.0, 36.873, 30.288]\n"
     ]
    },
    {
     "data": {
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      "loss: 1182.8189697265625\n"
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    },
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       "              0 <br/>\n",
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     "text": [
      "random losses: [224.583, 32.13, 86.278, 0.259, 0.119, 43.855, 42.799, 219.254, 58.644]\n"
     ]
    },
    {
     "data": {
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      "loss: 2.2260000705718994\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [226.629, 176.997, 201.478, 76.165, 121.389, 315.841, 544.186, 211.237, 220.405]\n"
     ]
    },
    {
     "data": {
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      "loss: 0.871999979019165\n"
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     "text": [
      "random losses: [630.253, 540.035, 730.303, 543.67, 473.852, 389.847, 566.119, 641.777, 485.996]\n"
     ]
    },
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      "loss: 321.0299987792969\n"
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     "text": [
      "random losses: [39.452, 58.376, 47.465, 10.778, 1.288, 75.383, 100.085, 212.702, 72.832]\n"
     ]
    },
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      "loss: 16.184999465942383\n"
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     "text": [
      "random losses: [556.062, 406.069, 343.596, 309.205, 543.276, 291.757, 425.55, 718.782, 409.757]\n"
     ]
    },
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     "text": [
      "loss: 16.69700050354004\n"
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     "text": [
      "random losses: [0.0, 16.629, 0.64, 0.375, 0.122, 0.264, 0.0, 6.593, 4.376]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 6.9039998054504395\n"
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    },
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     "text": [
      "random losses: [176.831, 302.218, 540.485, 209.618, 305.494, 178.825, 191.717, 456.544, 485.909]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 4.348999977111816\n"
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    {
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     "text": [
      "random losses: [45.759, 79.75, 186.999, 72.252, 170.292, 75.428, 105.496, 75.774, 12.433]\n"
     ]
    },
    {
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      "loss: 346.4679870605469\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [310.174, 281.047, 323.011, 284.242, 204.294, 322.143, 268.491, 405.819, 370.312]\n"
     ]
    },
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     "text": [
      "loss: 300.90899658203125\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [97.64, 169.849, 103.132, 148.662, 92.779, 184.76, 64.903, 257.071, 136.276]\n"
     ]
    },
    {
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      "loss: 170.1540069580078\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [307.99, 229.004, 180.465, 367.638, 239.693, 291.328, 255.219, 276.661, 132.025]\n"
     ]
    },
    {
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     "text": [
      "loss: 222.00100708007812\n"
     ]
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       "              0 <br/>\n",
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     "text": [
      "random losses: [159.309, 151.437, 61.106, 37.773, 45.194, 118.25, 110.876, 51.671, 17.873]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 2889.193115234375\n"
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     "text": [
      "random losses: [1502.864, 1346.119, 1411.821, 1479.424, 946.943, 1543.123, 1955.393, 1229.359, 1434.701]\n"
     ]
    },
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     "data": {
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     "text": [
      "loss: 4.125999927520752\n"
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     "text": [
      "random losses: [1.309, 1.927, 1.51, 2.457, 1.727, 2.271, 1.172, 1.453, 0.743]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 489.5899963378906\n"
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     "text": [
      "random losses: [335.208, 378.125, 246.203, 375.496, 483.679, 478.923, 298.582, 368.399, 297.826]\n"
     ]
    },
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     "text": [
      "loss: 1082.1939697265625\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [132.473, 46.616, 42.51, 4.193, 0.0, 57.511, 60.583, 0.0, 42.293]\n"
     ]
    },
    {
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      "loss: 53.689998626708984\n"
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     "text": [
      "random losses: [0.0, 12.148, 53.411, 0.0, 0.704, 0.0, 0.0, 12.28, 48.227]\n"
     ]
    },
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      "loss: 761.6950073242188\n"
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     "text": [
      "random losses: [26.55, 57.869, 54.017, 30.721, 74.124, 27.814, 35.189, 117.364, 132.555]\n"
     ]
    },
    {
     "data": {
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      "loss: 1.4210000038146973\n"
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     "text": [
      "random losses: [0.0, 0.0, 0.0, 0.0, 17.597, 0.008, 28.688, 19.911, 60.941]\n"
     ]
    },
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      "loss: 0.6370000243186951\n"
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     "output_type": "stream",
     "text": [
      "random losses: [35.118, 55.99, 25.274, 58.203, 46.459, 22.93, 94.523, 17.015, 123.981]\n"
     ]
    },
    {
     "data": {
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      "loss: 49.340999603271484\n"
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     "text": [
      "random losses: [266.45, 130.106, 61.708, 114.138, 184.728, 279.931, 188.037, 191.123, 234.115]\n"
     ]
    },
    {
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     "text": [
      "loss: 9.663000106811523\n"
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     "data": {
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       "              0 <br/>\n",
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     "name": "stdout",
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     "text": [
      "random losses: [2.173, 46.889, 39.059, 1.854, 1.157, 2.638, 76.926, 24.824, 14.37]\n"
     ]
    },
    {
     "data": {
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      "loss: 55.93899917602539\n"
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     "text": [
      "random losses: [113.7, 1.313, 12.793, 3.582, 38.137, 63.041, 1.948, 26.414, 16.365]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 0.28200000524520874\n"
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       "              0 <br/>\n",
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     "output_type": "stream",
     "text": [
      "random losses: [12.531, 1.076, 0.766, 0.636, 23.415, 10.135, 1.01, 0.295, 0.217]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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     "text": [
      "loss: 1.2430000305175781\n"
     ]
    },
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     "data": {
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       "              0 <br/>\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [36.14, 82.287, 10.935, 12.884, 117.999, 26.41, 135.481, 17.666, 37.621]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 567.885986328125\n"
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    },
    {
     "data": {
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       "              0 <br/>\n",
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     "text": [
      "random losses: [65.557, 77.217, 49.768, 172.317, 71.872, 102.03, 66.4, 48.848, 201.016]\n"
     ]
    },
    {
     "data": {
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      "loss: 129.6269989013672\n"
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     "text": [
      "random losses: [123.204, 252.458, 119.903, 39.618, 90.068, 38.745, 16.233, 74.743, 110.921]\n"
     ]
    },
    {
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     "text": [
      "loss: 444.6369934082031\n"
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       "              0 <br/>\n",
       "              <img src=\"data:image/PNG;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAIAAAD8GO2jAAALVElEQVR4nAXBaWxbh2EA4HdffLweL1GiKFGiKOu0bsWW7USW3TRpnKNN0hVB6iJOsyFL02FYBhQdNrT7sQ5b28HFsK3bkKQ/mrhOG6fJYsexrdqKZUuyLusiaVK8j8fzkY98j+S79n3gD9/6Js/xvCC0OWyaIrdpsMOM7N562E9DEzND9oE5TQFDa5vre8GqwZFqFiWlQdsNBEzqmwZNKXFcrlCBfTO917fDAw7i3NnjjNMLGywEoebTyWjoEaJRhnyh3u42MyRUydY63BYPLpE2WodjXU9NwJiN34pTnH+qv03/wl/lq0Ds019sRpIkA9UdQEPtU6B+VNvZWo+9OOXDcYTRwTAGUCDfqlsAWK+zt4MX3n5Fr1dwXCs39Q5FfnrKdPWT8Plve0FokjZj9cVgZutjwUVhYz/zm9xzjxmkhpBZ/ujhf/xSzsk948N5yhuseYvGcvQwMoNF//pH5xPBgwPrMUxFbTi0sboIvv2THxhJoM5Vj1GgVcD6nntBybCmMW/gN1cC95fqlZo4OQQefyeVEU+MyrPTj7GFsg1Qc6Kyc/GHgc+XJsY6bPaBeMu00za3Uix+A9x56W8v/Ojf999+ZeTeg4NCbh8xG1CkyjlIZOhou5qCy0v/9cEH++WG0HSYXZPT1MBMQTUp2WA4fXXu+I9bishXIg5bm1NvlP/8X6odl3/9/n8aAvfn3EMnqn8YH3j2AXH89lZoru8uDM2UhQyNwgjdkkygbNfJB9e//Nf/K+AkeebrX7N0eUBdRyjBBZYjUjxZNWQ1nJC5DCib4/dCAy+7CZ0uXVyfPrpg+Knn03/75c827o9ZjKPJ2uT4eBHo6X32jfVowmHRZQ4riJavgVIxHgW38n3PffdcJ0M/rICXLt8UyzmlVVVJud/VX8WJij/GidW7W3GVTmgQlCgWH+3u958+6c71vfXzn49evfbhhx/vhbduxHePtZ8mgtrk98fDNTZG1BBIFOKp7EZK4cmmXYR+dXG/VjrUOdsHJ4+aSNPmDms56sOCOcysv7PLa/73/+bCybogxfZWwl8VstOsvquHKzZeOv/68+eeWVr+bPXDP22lFvnSyr39M6e+NWTCaUTBkRypy8gRShUXAyhswBdeeRNLh/MliKRplz7T5WQYjQqo+ltXPuvrd4qAaNCae4nqxuG1N9yv7+3mQjeu0t6eKYt1bv7Fs09+I1u4W/xifeXGpsh2QdYmcv2r9aLWFDUAs3j5fIo24qZ4ai2WyZZLfv5w0DMGMJOdDGbLFhKjtWkq2YRs/CGfjsRnhrv2cvzBvcXfXX736+e/linNdgsxJ93N9D7hfe0p7OjB9qefxOsqkueqIgpjJke3ZyqSrySK/GqbnS0LfCwIsyLpDLDrt5ZM3mELPmzFCBwDmqgASWbGDqMQVUvFWwqvQTw+ogQOo4E9q0V/JDXh9gwsPVw0Q+mNoArZ3R2IzmKxeLrtVl27q1EFgVxrfr5n9IRveNZYIvGP3v+fP77/ewjGKZWBoQYGwpoGO5CMwem0AEx3N/P06Ve8ZCcHbC7f2dyOpmuwxuBqiSeSggrDFKIj28wAjxEWCwl69acCsMqF6dwTj1PfexIOQOG93XajzTMiNux6LOsnNBMIArKmkLDV0GbX62hVccmklC3VW55vAyv/qKfwtu5+TM8QTa7OVVFQQRqCAEIYUDfCMtg70G6VXk2ts/vLHrAKoXfvA7zZg78+Z1/GxRbSFHSoHhAxUFeRINUN2UgDyli40BipOdXHccfJgb98GOMQ++BBKCKWVFlSZRhBNL4qUwa0eINb6923DjXbp23CkelBrNAAEUgqUpBs1ApeBq2nUYJVTMOSpsFSUy0C8LSSxY3FxFgpmU7KwC0GsIiDHh3jaekzCdXZUkINQtJQRKxJXqvUyXFwsvLS8fk3fO3MJFJgtU9ArDY5BqGs+vBBoZGYErtblSGDUWkk4jevXbm1Gfp+V3fz9pWnUrK0P4JmiFUflsSUbC7yBEoUkSrgQhy8RwSa4Alv33yPHW0CvR3fGnlx9qtrpYjVWiY3xXIpW8xHrYArqC34TMY+pq7xds1Qy7Rz/oPF3d+VO3obieZk95MLJ6e5LRgFOjZa0Fp6EzFwmXSBcjqncH+LDSPdVqaTxpMFgBJuXf/VnX/aDDe1hgw0YE04P93RwntKUYGdPmusp7tSPZ6azKZlD3DvXdOkIEz1ACJZ9fzdh1/Bkzjccg6S04bKeL4akgq3S+wX+20aWGERl4Xq7NEFdtZuPALvSqOgzuWgbYK6hbRIz8T4CWf2vaQP8K/G7N5dt3QHaFM7dpbXdA2W7ZrMv2b+8gc3FU1LaSFYk3kW7Rzy/rOFLAvAZlPlKyXMgreQO6EkZeySnEyIdimqu88K++B0MGjLV/lKiWU3cQuwv3p7b4v9GIAgACXw44PGjnq9zB2JyO+ETwDae+Mvv0VmYw92okrl0WH0Hbt32NWmKISOzzb0BhLBbZRtbIIfOG3m7V6kRpDpvDTuAja4rb2Qvz73mEJGxY/YIgBoJhpG+m2kWLPlho48r4b/FGnwFx//5hmHFNjY9E8d7WnUrJWyipKBCRSZ/M74ld/uxdIxREPJlST3YHkFhhteKyU3GqSjcHzGux3eZ0sNWNBd/HIPhaEnvvfqKFXJ5bl8RMwV8iTV0XKMmWpxKeVeyqzOjI7jQ8nIZ9LLp4hrWSJbI8obAECJ/Z0E6B3s1RlJTZRffm5Qr/RLBuOOP2ozkMm6tHb9qoGGQgX27PwC1Qss/V6dmqBgicLlSjqRyLYEiiCaarGZM/3kp+cOM63f/O/Sn3VZFl7zsFEUSW8sC+L9VRaqVHjKYjw31VuHpm9sHfgodf7EUIIrOFuyqdOaK3OdLgajsa1PUrK0hyYyvS7E7uo2024j4cnE4tWM2eOhsiXc1myOHaFIH26UrNFC6oOd8uUvYv5MEdKjWDsM5GRmb/XO9InhJt1J1hrd1o4a2urrHhicOmoWoUfFVCabePPNV/fKfL1spYSIaiafOd02M9JbrYfbKbEJlKSmduHCsymW+ou/f/fipZWVZNVi1UEIjIwO9qOEvndkHPQvGXgRYNScULYZED1N89WqBHjkzhQX42xOUz2UOTt9dCe7eMo98uN/eNaSC3fW6EiVD5dbx7MyNuaWKnLiURjt9I2Y3DWtKGTjE8fMiEtHtZ+clZOVE1Mn/ZE0ljl0thO+2VN2nUHiW/5g9L0vK6nAfcbnSvMFPWXuwTvPPNdd4zvQnRvPPMPkUd+vryyphGQg6cS2Xzti6mQM9haNWZu7GF2sVaFUuVLNi8NnZqrlCg1iLbHk6vcYiLraiCNS1ddtO7/wlMdrKYXTNKSviq0zM+Y05CNuX7bbjuFjJ0+7PK0WrGlZoUIWuLSi6aqR7KyD73DRDAHpYBhqQVImuF1IV2ydrlAsYLTqAMIcXN9P/fdNmYNkDLKZjU9Pn5IVaX1/89iQQ9c5lly8zeQb6OSASnghRBjU45kCmAjvbAtCLLi94FSPPT9/qr+HwQgGkiGHibC2OXPph8GdKCZxmh7NC3Ls40vw2qdkNYHRJkIH0zQ9ZDGn2DQJM7iJZteWItsB1EABdWFpKd7bQYU4fvn2zQe37jtVfvrpqUI2+IdLn5+aMuEIheiMeDTkt+r7dwJhtc41RGXzxhe5aI6kQKa0hdfbIRgG1Vogw2KymlZz7GYeY4jP+QJz/ZKpraMiJGmdEgwkDlIZCAYwvfFgPT77woKv34nCiNuEIE1F0+nhPX8EBwWjldxdvgcUCy1JXalD7ljObtuEDDa8kiVAQNDAfDxRCmcameL8rI+tsI8C+2kF1GO0VC+QAKAnMI/NYnfAgMh7j/THUlnaavp/EAzotblg/WIAAAAASUVORK5CYII=\" style=\"image-rendering: pixelated;\">\n",
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     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [350.675, 217.629, 191.268, 274.274, 298.619, 187.58, 267.696, 153.652, 359.444]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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     "text": [
      "loss: 2714.847900390625\n"
     ]
    },
    {
     "data": {
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       "              0 <br/>\n",
       "              <img src=\"data:image/PNG;base64,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\" style=\"image-rendering: pixelated;\">\n",
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     "text": [
      "random losses: [1116.631, 1197.576, 1322.988, 1072.15, 1744.2, 1225.42, 1134.605, 1109.008, 1327.043]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 679.177978515625\n"
     ]
    },
    {
     "data": {
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     "text": [
      "random losses: [32.868, 55.336, 85.308, 57.436, 104.556, 0.0, 0.0, 34.514, 21.865]\n"
     ]
    },
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      "loss: 192.73399353027344\n"
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      "random losses: [33.376, 0.0, 76.899, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n"
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     "text": [
      "random losses: [57.611, 38.048, 72.116, 21.536, 61.322, 75.831, 45.299, 45.046, 88.333]\n"
     ]
    },
    {
     "data": {
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      "loss: 73.66100311279297\n"
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     "text": [
      "random losses: [31.827, 0.0, 22.183, 57.617, 0.0, 0.0, 34.0, 0.0, 0.0]\n"
     ]
    },
    {
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     "text": [
      "loss: 443.1759948730469\n"
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    },
    {
     "data": {
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     "text": [
      "random losses: [100.589, 24.8, 54.086, 16.052, 45.392, 56.572, 0.359, 50.145, 43.944]\n"
     ]
    },
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      "loss: 0.8119999766349792\n"
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     "text": [
      "random losses: [315.459, 94.869, 159.227, 261.952, 117.918, 141.298, 226.927, 248.329, 129.295]\n"
     ]
    },
    {
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     "text": [
      "random losses: [248.276, 254.325, 134.931, 161.929, 250.065, 370.235, 189.979, 484.614, 244.147]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 91.84700012207031\n"
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    },
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     "text": [
      "random losses: [0.0, 0.0, 0.0, 28.408, 0.0, 16.751, 0.14, 0.0, 0.0]\n"
     ]
    },
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      "loss: 4.932000160217285\n"
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    {
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       "              0 <br/>\n",
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     "text": [
      "random losses: [502.516, 364.382, 346.868, 582.457, 519.492, 542.333, 589.396, 467.317, 457.076]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 100.91400146484375\n"
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     "text": [
      "random losses: [79.842, 0.204, 0.0, 34.798, 0.241, 0.335, 0.208, 10.189, 9.797]\n"
     ]
    },
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      "loss: 52.0260009765625\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [0.0, 0.219, 0.079, 0.0, 0.21, 1.201, 49.213, 3.782, 10.209]\n"
     ]
    },
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     "data": {
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      "loss: 2.76200008392334\n"
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     "text": [
      "random losses: [152.89, 377.924, 306.84, 283.653, 79.064, 294.688, 242.751, 219.324, 311.636]\n"
     ]
    },
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     "text": [
      "loss: 66.38500213623047\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [0.129, 14.181, 19.404, 0.497, 0.0, 0.0, 0.0, 0.0, 0.0]\n"
     ]
    },
    {
     "data": {
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      "loss: 567.3060302734375\n"
     ]
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     "text": [
      "random losses: [31.899, 5.19, 30.254, 43.443, 2.123, 42.19, 74.581, 4.714, 0.165]\n"
     ]
    },
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     "text": [
      "loss: 83.98400115966797\n"
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     "text": [
      "random losses: [128.935, 64.091, 65.85, 64.237, 70.296, 51.772, 31.619, 14.645, 19.108]\n"
     ]
    },
    {
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      "loss: 185.77099609375\n"
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     "text": [
      "random losses: [858.026, 360.27, 413.778, 398.129, 254.663, 402.55, 484.239, 615.227, 490.262]\n"
     ]
    },
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      "loss: 2204.7060546875\n"
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     "text": [
      "random losses: [635.529, 522.636, 797.446, 980.589, 534.909, 688.728, 936.486, 811.112, 931.777]\n"
     ]
    },
    {
     "data": {
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      "loss: 35.42399978637695\n"
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     "text": [
      "random losses: [9.64, 31.112, 29.539, 64.802, 24.266, 0.0, 43.373, 71.923, 44.086]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 4.757999897003174\n"
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       "              0 <br/>\n",
       "              <img src=\"data:image/PNG;base64,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\" style=\"image-rendering: pixelated;\">\n",
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [2.753, 2.635, 1.724, 1.981, 2.142, 2.935, 1.223, 1.979, 2.149]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 364.15899658203125\n"
     ]
    },
    {
     "data": {
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       "              0 <br/>\n",
       "              <img src=\"data:image/PNG;base64,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\" style=\"image-rendering: pixelated;\">\n",
       "            </div></div>"
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     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [228.394, 224.784, 255.473, 328.165, 282.154, 262.855, 290.318, 258.985, 260.382]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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     "text": [
      "loss: 436.4849853515625\n"
     ]
    },
    {
     "data": {
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       "              0 <br/>\n",
       "              <img src=\"data:image/PNG;base64,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\" style=\"image-rendering: pixelated;\">\n",
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     },
     "metadata": {},
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    },
    {
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     "output_type": "stream",
     "text": [
      "random losses: [343.454, 287.052, 289.828, 284.769, 303.35, 413.894, 367.883, 399.456, 351.751]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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     "text": [
      "loss: 791.4739990234375\n"
     ]
    },
    {
     "data": {
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       "              0 <br/>\n",
       "              <img src=\"data:image/PNG;base64,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\" style=\"image-rendering: pixelated;\">\n",
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     "text": [
      "random losses: [174.074, 181.977, 133.989, 87.002, 104.42, 352.361, 528.619, 133.042, 79.831]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 362.1700134277344\n"
     ]
    },
    {
     "data": {
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     "text": [
      "random losses: [36.735, 49.402, 32.892, 0.552, 0.0, 19.767, 40.447, 0.0, 0.0]\n"
     ]
    },
    {
     "data": {
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      "loss: 0.9319999814033508\n"
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     "text": [
      "random losses: [12.777, 0.227, 0.237, 0.0, 26.642, 24.613, 22.486, 25.073, 22.371]\n"
     ]
    },
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      "loss: 1.281000018119812\n"
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       "              0 <br/>\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [245.806, 264.156, 267.985, 299.23, 136.001, 207.447, 167.983, 204.45, 115.691]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 57.56100082397461\n"
     ]
    },
    {
     "data": {
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       "              0 <br/>\n",
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     "metadata": {},
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     "output_type": "stream",
     "text": [
      "random losses: [56.58, 1.071, 0.0, 0.0, 13.477, 124.603, 0.522, 0.0, 2.148]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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     "text": [
      "loss: 5.269000053405762\n"
     ]
    },
    {
     "data": {
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       "              0 <br/>\n",
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     "text": [
      "random losses: [303.153, 238.132, 123.498, 382.813, 64.576, 60.228, 207.085, 216.043, 67.629]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 45.71699905395508\n"
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    },
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     "text": [
      "random losses: [13.028, 61.727, 16.551, 2.995, 11.354, 63.557, 0.492, 104.935, 0.0]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 369.59698486328125\n"
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     "text": [
      "random losses: [40.753, 1.338, 22.267, 51.786, 14.879, 45.202, 8.16, 4.764, 34.241]\n"
     ]
    },
    {
     "data": {
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      "loss: 287.41400146484375\n"
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     "text": [
      "random losses: [103.457, 133.708, 55.626, 27.116, 96.144, 11.217, 39.062, 98.328, 62.593]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 1125.489990234375\n"
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     "text": [
      "random losses: [329.674, 437.988, 494.762, 531.151, 357.963, 358.941, 545.434, 433.701, 288.263]\n"
     ]
    },
    {
     "data": {
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      "loss: 140.89700317382812\n"
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    },
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     "text": [
      "random losses: [46.586, 67.426, 85.442, 53.049, 84.851, 75.514, 54.944, 22.19, 132.404]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 53.305999755859375\n"
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    {
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     "text": [
      "random losses: [2.393, 11.95, 28.281, 28.476, 20.389, 42.263, 39.748, 1.628, 27.858]\n"
     ]
    },
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      "loss: 183.55099487304688\n"
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     "text": [
      "random losses: [302.587, 272.711, 178.715, 230.841, 179.246, 179.645, 277.368, 264.453, 228.356]\n"
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     "text": [
      "random losses: [2.511, 1.529, 2.077, 1.562, 1.947, 2.114, 1.394, 1.68, 1.335]\n"
     ]
    },
    {
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      "loss: 215.2760009765625\n"
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     "text": [
      "random losses: [620.35, 288.201, 494.885, 307.046, 588.42, 384.337, 796.592, 335.986, 460.65]\n"
     ]
    },
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      "loss: 743.43798828125\n"
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     "text": [
      "random losses: [136.581, 100.431, 115.186, 52.451, 67.991, 86.207, 38.679, 50.44, 76.865]\n"
     ]
    },
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     "text": [
      "random losses: [271.575, 249.42, 372.521, 180.525, 282.543, 397.295, 353.59, 451.919, 353.774]\n"
     ]
    },
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     "data": {
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      "loss: 27.910999298095703\n"
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     "text": [
      "random losses: [1025.87, 747.818, 689.104, 1053.543, 828.563, 686.868, 744.536, 633.361, 702.357]\n"
     ]
    },
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       "              0 <br/>\n",
       "              <img src=\"data:image/PNG;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAIAAAD8GO2jAAAK9ElEQVR4nAXBWWwc52EA4Jl/jp1rZ3Zmd/bgLsnl8tZFmZZ1WJZkSREE1GjsQEDy4BZp9ZIYCRCgQPKQwkgbpwVatC6awkCLAgFcFHBr2bHs2LUjxboohqSowxQpniJ3yeXex8zOfU+/D37353/hubgRgKfPShhBdbpKv8BiHtyWJAeBIwAwEYTlKdOFZN10MRqDzUJ/RDGt0A8tVas3W+2erao6CiA8CCHfIVGEitIQgjFoMF7Ioo16OxVPdkoNwjc5PFAs+fQLI9V9V7cdW1In87zBgES/aGluDkdQF0nEyLWVUjLFEyjk0lQsEWcjfqfaIH1LNVxdNy0ISYgUYTgOjOiWiUqSznrdqSz76X4FDiKvXZ52FG36pelalXxYm5kYHjsqqPu6mSRxyMfYHN5a70ZH0rDdADhOYkxCknAu45s4TgNal5FQbSs2JeTpUDV7zbbpo4Hvt3Vd5Pi33rqiNhumxWQn4zYgVd09KJIPDewQFmKBa8MhH6j7+7zBoRnK8li80wCxhG0BEQNGbgChUHx5hxejeAzSSAZFCMG2w71yBWguRnGxUG6s3lzgOXFsOA9HxN3i8tHh3LHpi3trj9Ydrt/R9IBsABGivAFO3S3Ld1edkYxjtYIoC0M2FgGx5Tq70TLxaIzA0SCKYzhpwIhH4iCayKoaGHjl4plzJ+F2TytuGY1qNp2fnprIJQpclPtiQ26DaMre47E671rNklGHyGePlz5qEmMsUF2JiQkdU8Zjuhu6N7a0VJwA5TrExdab6oERFlBJgUQ4aaXOiKOFc6+NvPytkbELBXE6zmbktdrklXPq7s7v5HRbEjodcrsLmdyE1JJTo0OPfjd7F6LyIaO6dYEudHpks+nsbFVu1ASOd0sr85EEXW34AAuhgM5IQGjPLcvru65mET4W8TBjrZ4dTKgymTxzqvnNzDyc3mtQBMrvbCn9Yh/jZUk29eXdlaKLmo55p2s/vt+eejFmy/iDudJteZCnzDTSpg5OAUdzUEKQNBbQgrwgyXc2GitVZb4Dt2QY60KHj3lbvfTUC93nq1AUX65T2WS0K+cwWMexfrPl/2EOPNWQbm391ZMH7To9fSxr2fa935f+UMtbfez2vgXahk/QdEfyJL8QpkdhPu03YLimQ2azcurV8v5WPD5uV3a5zES5XhEyUlnVHGLLJBja6QAf7LT2gr2xgehBLGrjfeO0DkZH+kOnvT6ze+8GVbm/AroyjpC44ULLj0uLT8szC159HZLMduvs8U8Cur/qxJCdUIiLmDGQH9Q6Kh8DFJ4awIGXK+RYGI9A23vLJpGyq7GJjIwMHsVCXChMOI6p1RQ0QIFhel0DA4mMEA0wDCQBJ7Ced2H6ViZLP39GSobvO1aLevJ8r+KC/uwBD++FHhaIcEHrScxRKpRtCistL3SHxWeP6PGYneQZ2nO4bN6xujjHAoBictfSEQHQ8WimMDgIeWdH9wcTSxWV3dIRZlv2/BMFZnJ47Pnq3YUH63VqSARVKTzsJsMsrRoex0ARamSKf/xZ7PjozPMulT1IMUko1FkhrhkaQEJbc33M1Rpoio4IIJH3JnK3LSJeWcLxTanUw/XsB7e3TBcVidORrE7vfLPLjUw5iz5WUE1AUK5qyct3Fx5wp3uPv35tariyOhPJxAMrFkAeQfMgQDjU1VTUdhACJYzgVOp2BEM623llX2pVu34GUp5Oni90V27WgPtwZqeDX04q63PU6SjS5EjF8vJSa+f7b55fvf/bT57k/32eOnb+T4L6CpqOux5MQR58/vJf0fFsFBt8MWIOvHGxyiLrTSW/+NvlStHxoAPDQ6P56OqytL7j//H5gmEqkFz80+/+WNBmy8yJlbUNIV7Z20jxtFZsum5lFqCkIH47McHqjXXUNJEoj/q+6YeMq1eNU5dqLLaj2+L2WlmvYAwB9Nin1z5zUodSQtpElnoScvKFwbI2dnN+AxbOH0ksjqaYhwsK3Z8+0IcSucNFWEtlL79xKYFIrZvhsN0p6jCFotGkpjSz4y/hR5j9wLKLzyP1DxQrGXZUHK1cuPK9ax9/dRml3rf6vN7c7MNp1L7nwPlw9aNbeGb0xE8mj8tNTSOYY1dfyASnxo9Mi/s17lFxjU/0uibLxUVUASI6kGsdyLlbNWdps6Dd2fTFrq5juNXwEuzSzR+98XqRnjX+g/ftTdgP2ROn++qze52Lnnxje+4fw6mrk6kSW/DCTI4FuYrjFFsaigRuEIn2TbihiRqSTFLi5vUvoebin52LwXwhMDpRRaq3tEDVljTv0aNfQyNvBrW/DUMkdJ9pGwd/8pc//c/fv2emvpXuUyl/NcgdicNsBoZpPtTUXTgmwraphPwgaZUMB3WtehbNXpqaYPsGbs99OTlkXp3K8BDnerXebmN1d7i0wn+9d9uJDYW9kh+gvnLnV/96H2fOTqSdqDsaJI2kX/WEYZZnFAZ092JhaFclyu21ewN4+YsNVG21DMF6hpFjTPz733vrwVcf/s+d6vjUK0PMweRR69Sh5vGX2TMPCtVl6Ffbg53OfeD5ACGi1m5on6NYBIVwk4xkcAdDo5wfttyyjY4rjQ0ljZe+agSNNdRW9+X2HkXyahBdcFOXvvPnq8s3OvvP8cnjliKmYlkoZ6dzvcTpiQ83t+f/b+qe9CTraUtWxoRqgd8fYQEdmFAEQCSJhOXdyFBsbW054Tev+17zFup10NCVgNNwNAVjaM4I52/Bw0dfjTCzrdLX8ekXVYfpCyIQTbBiKEVfnI5pc7XJ+4tFs6eGfo9WEVEUAkrDA4HCWkU927/76LPcRus3WXf/n6BA9SAf+IHmuG0fRj3YJglzshAuLPqIf3wPOnX/64bLiRITOA7voBEGD4Sx7pux1oUROW5ZYRcK9YbEmwCKUETPwNJ4p1YZLz/+Mmsv/bXndSDfhkIfYJAPcCYC98ay2tB09KOZzf6cNdhHZVyIzOff+/XtHjyggY4TiXvAVoJ0JJknRD4RoxDILEs+6qJRylQjA069K2Hl/7qLqzd/FkKhAIcIAkMIAgg8QMLwbKZ9+OSBa588nZxwJ/Po4q6EjmaVUnn6zIl33/mNkRqVe5u6MIRhSoxvFAbi2cEWzCO6/VSJNCxkSHAkCdr+l9WO9P4vAwiKorCOIiiJQCEEGIY7kvCOvn7yvZu740Ph2ZeH2jY0NATUZs0Thp/O3/deOvj2z/6BHDyu7d4y0kc0JC6ibmp8KJLYD6Nm/Qk3JoOiJ/1ivl38m78LYTAWZ7MDiaiYBh4gSBzN8fFTr5/87zl3QpC/fXlkb0/qWu71zzcDSdFbdT12RLutQdjrV9++8c47l4nHXyQPHVeBn+11CsNCo2bzkeI+o13fnKj+8y98yE8gfl33ChxzYTyw0CndsNDxlw4/2MbihHHl0tDmemXGiN67dh33YVSv6E6hu/O/gdPCYatLvvLTHyBXf3kxPTd7eGpc7aXStVY2IWnKkw/DH7bf/bnjWSMUgnEUgsE7+0q9Dg/3BdGYCAJTH2bMK6eJR0u7DzrI0scf5zDA69suzEG9ByxUSVMuRzEEsog0Prj29qeP0YnP/7iViCXSPMrzWoc9LP3b33uuQoNADmEvRDIUdvZQ2keQmuKmUzSaY8NMzHn6zVbdIsrfzKQJRFGqkg2JjIJROMHQCEWpJiKbmuc2/e7nS+8XB46eKddKI9lBD2t4z2YDp4cDGADYC1xN1baciEA5k3HURChHtf8fo6v3rketV1oAAAAASUVORK5CYII=\" style=\"image-rendering: pixelated;\">\n",
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [1458.886, 1421.354, 1598.854, 1280.113, 1538.968, 1286.905, 1499.943, 1268.037, 1335.213]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 2533.672119140625\n"
     ]
    },
    {
     "data": {
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       "<div style=\"display: flex; flex-direction: row;\"><div style=\"margin-right:10px; margin-top: 4px;\">\n",
       "              0 <br/>\n",
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     },
     "metadata": {},
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [608.028, 478.051, 611.293, 403.073, 609.22, 545.94, 374.465, 794.274, 602.212]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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     "text": [
      "loss: 90.40899658203125\n"
     ]
    },
    {
     "data": {
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       "              0 <br/>\n",
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     "text": [
      "random losses: [1780.127, 1939.985, 2082.136, 1982.126, 2073.785, 1662.726, 1740.151, 1818.013, 2329.779]\n"
     ]
    },
    {
     "data": {
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      "loss: 917.875\n"
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     "text": [
      "random losses: [669.924, 517.344, 639.652, 764.27, 566.779, 591.821, 684.299, 472.933, 707.999]\n"
     ]
    },
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      "loss: 2.3529999256134033\n"
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     "text": [
      "random losses: [1.466, 1.765, 1.945, 0.854, 1.744, 1.272, 1.344, 1.499, 1.044]\n"
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      "loss: 2.6700000762939453\n"
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     "text": [
      "random losses: [1.694, 2.268, 1.955, 1.377, 1.509, 1.975, 1.878, 2.462, 2.227]\n"
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      "loss: 1.3930000066757202\n"
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       "              0 <br/>\n",
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      "loss: 55.24599838256836\n"
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      "random losses: [50.645, 20.054, 28.347, 28.508, 33.936, 38.628, 25.828, 31.169, 18.65]\n"
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      "loss: 36.31399917602539\n"
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     "text": [
      "random losses: [62.801, 70.135, 64.443, 72.955, 80.396, 67.025, 59.341, 55.213, 68.87]\n"
     ]
    },
    {
     "data": {
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      "loss: 40.03300094604492\n"
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     "text": [
      "random losses: [41.49, 49.51, 32.232, 51.304, 38.193, 47.761, 41.438, 44.193, 40.967]\n"
     ]
    },
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      "loss: 220.88299560546875\n"
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     "text": [
      "random losses: [94.881, 168.512, 135.076, 138.568, 144.434, 112.863, 195.643, 110.015, 196.24]\n"
     ]
    },
    {
     "data": {
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      "loss: 1260.5360107421875\n"
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     "text": [
      "random losses: [478.375, 368.04, 444.385, 236.695, 292.913, 500.288, 528.779, 410.392, 360.41]\n"
     ]
    },
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      "loss: 0.0\n"
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     "output_type": "stream",
     "text": [
      "random losses: [249.916, 354.746, 522.329, 729.279, 541.081, 635.461, 537.822, 274.089, 500.229]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 31.36400032043457\n"
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    },
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       "              0 <br/>\n",
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     "text": [
      "random losses: [210.414, 248.502, 363.145, 227.91, 195.228, 167.051, 279.991, 284.379, 217.058]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 36.08000183105469\n"
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    },
    {
     "data": {
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       "              0 <br/>\n",
       "              <img src=\"data:image/PNG;base64,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\" style=\"image-rendering: pixelated;\">\n",
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     "text": [
      "random losses: [119.536, 190.655, 195.6, 238.404, 231.46, 176.28, 265.815, 105.171, 349.604]\n"
     ]
    },
    {
     "data": {
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      "loss: 1197.051025390625\n"
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    },
    {
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       "              0 <br/>\n",
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     "text": [
      "random losses: [806.634, 397.475, 377.26, 409.428, 425.116, 603.655, 458.213, 435.557, 365.707]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 6.079999923706055\n"
     ]
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    {
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     "text": [
      "random losses: [6.476, 6.946, 7.329, 8.311, 7.447, 5.013, 7.348, 6.622, 7.201]\n"
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      "loss: 3.4649999141693115\n"
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     "text": [
      "random losses: [1.755, 1.96, 1.617, 2.911, 2.034, 1.015, 1.658, 2.866, 2.084]\n"
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      "loss: 3.0439999103546143\n"
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     "text": [
      "random losses: [2.528, 2.424, 3.281, 2.893, 3.061, 1.685, 4.072, 2.212, 2.554]\n"
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      "loss: 53.47700119018555\n"
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       "              0 <br/>\n",
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     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [42.311, 43.967, 72.509, 47.25, 52.784, 65.392, 49.666, 48.484, 35.532]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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     "text": [
      "loss: 82.5009994506836\n"
     ]
    },
    {
     "data": {
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       "              0 <br/>\n",
       "              <img src=\"data:image/PNG;base64,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\" style=\"image-rendering: pixelated;\">\n",
       "            </div></div>"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [95.992, 138.765, 112.891, 114.932, 89.331, 113.128, 111.033, 94.463, 95.527]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loss: 128.28500366210938\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "              0 <br/>\n",
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      "random losses: [97.415, 69.081, 99.778, 91.583, 83.791, 83.06, 93.475, 74.004, 76.514]\n"
     ]
    },
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      "loss: 124.4229965209961\n"
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      "random losses: [98.192, 98.599, 85.345, 92.36, 91.111, 108.113, 108.554, 101.402, 91.668]\n"
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     "text": [
      "random losses: [422.126, 1376.432, 594.865, 932.23, 1358.272, 324.672, 829.61, 685.053, 1054.528]\n"
     ]
    },
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     "data": {
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     "text": [
      "loss: 1752.876953125\n"
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     "text": [
      "random losses: [383.237, 576.12, 595.415, 1058.122, 487.568, 485.034, 874.697, 554.583, 702.787]\n"
     ]
    },
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      "loss: 1008.0230102539062\n"
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     "text": [
      "random losses: [219.153, 842.415, 170.28, 383.634, 213.344, 536.787, 295.105, 948.198, 312.607]\n"
     ]
    },
    {
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      "loss: 352.0660095214844\n"
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     "text": [
      "random losses: [229.687, 127.277, 1.875, 116.729, 94.742, 79.882, 81.18, 90.218, 191.279]\n"
     ]
    },
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      "loss: 17.562000274658203\n"
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       "              0 <br/>\n",
       "              <img src=\"data:image/PNG;base64,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\" style=\"image-rendering: pixelated;\">\n",
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     "text": [
      "random losses: [621.132, 667.03, 540.021, 600.834, 530.856, 701.342, 569.782, 555.852, 530.626]\n"
     ]
    },
    {
     "data": {
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      "loss: 746.7130126953125\n"
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     "text": [
      "random losses: [375.385, 353.306, 369.296, 297.019, 280.946, 286.391, 338.856, 249.414, 195.002]\n"
     ]
    },
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      "loss: 1676.873046875\n"
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     "text": [
      "random losses: [16.879, 21.143, 0.0, 7.656, 15.797, 15.662, 12.9, 15.41, 20.965]\n"
     ]
    },
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      "loss: 90.94200134277344\n"
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     "text": [
      "random losses: [159.299, 116.975, 116.848, 83.183, 88.639, 72.66, 85.332, 110.829, 102.533]\n"
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     "text": [
      "random losses: [193.576, 246.843, 203.105, 257.885, 452.935, 116.507, 152.752, 465.524, 345.66]\n"
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      "loss: 465.9670104980469\n"
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     "text": [
      "random losses: [617.003, 621.899, 321.891, 529.047, 483.453, 552.42, 406.51, 370.406, 461.954]\n"
     ]
    },
    {
     "data": {
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      "loss: 14.173999786376953\n"
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     "text": [
      "random losses: [47.325, 43.636, 48.618, 78.979, 46.657, 46.158, 61.874, 88.212, 61.984]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 24.32900047302246\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [287.331, 360.137, 359.103, 257.095, 398.537, 159.68, 225.89, 219.388, 462.893]\n"
     ]
    },
    {
     "data": {
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      "loss: 3328.68603515625\n"
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     "text": [
      "random losses: [346.738, 897.441, 658.381, 1068.234, 1266.752, 328.986, 312.561, 1006.148, 1048.243]\n"
     ]
    },
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      "loss: 21.82699966430664\n"
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     "text": [
      "random losses: [96.499, 179.713, 132.55, 87.878, 60.615, 91.64, 106.323, 215.049, 189.223]\n"
     ]
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     "text": [
      "random losses: [5.288, 5.972, 3.835, 3.448, 5.507, 5.515, 3.564, 6.365, 3.877]\n"
     ]
    },
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      "loss: 7.614999771118164\n"
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      "random losses: [6.28, 7.91, 9.415, 6.491, 5.987, 6.101, 7.307, 6.15, 7.107]\n"
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      "loss: 93.10299682617188\n"
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     "text": [
      "random losses: [75.13, 52.169, 60.302, 50.079, 86.07, 56.511, 86.042, 65.34, 53.831]\n"
     ]
    },
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      "loss: 170.52099609375\n"
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     "text": [
      "random losses: [120.682, 111.443, 135.587, 122.12, 139.657, 134.323, 181.876, 103.596, 121.349]\n"
     ]
    },
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      "loss: 100.06900024414062\n"
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     "text": [
      "random losses: [141.59, 110.616, 120.157, 80.153, 57.18, 139.827, 72.524, 148.899, 81.7]\n"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [1165.631, 1647.454, 977.071, 711.556, 1206.892, 996.322, 998.642, 1074.369, 1042.96]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 3538.867919921875\n"
     ]
    },
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     "data": {
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       "              0 <br/>\n",
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     "text": [
      "random losses: [730.354, 688.986, 920.238, 893.107, 304.04, 626.875, 383.619, 758.1, 623.36]\n"
     ]
    },
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      "loss: 1182.509033203125\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [131.581, 111.862, 83.149, 13.173, 136.371, 119.141, 359.275, 0.821, 96.204]\n"
     ]
    },
    {
     "data": {
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      "loss: 31.46299934387207\n"
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     "text": [
      "random losses: [1495.135, 1943.774, 1644.645, 1306.283, 1559.632, 1491.421, 1567.183, 1685.476, 1501.575]\n"
     ]
    },
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     "text": [
      "loss: 2298.218994140625\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [351.226, 796.036, 808.252, 959.051, 873.302, 506.182, 535.402, 860.821, 771.654]\n"
     ]
    },
    {
     "data": {
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      "loss: 3960.7900390625\n"
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     "text": [
      "random losses: [1663.844, 1591.581, 1775.251, 989.0, 1777.899, 1329.393, 1443.45, 1405.448, 1115.362]\n"
     ]
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      "loss: 44.20399856567383\n"
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      "random losses: [1066.825, 2293.294, 1951.996, 2056.728, 1055.65, 2143.62, 1831.031, 1987.805, 2339.241]\n"
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      "random losses: [183.28, 65.846, 63.297, 180.099, 71.13, 81.146, 82.361, 146.774, 55.079]\n"
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      "loss: 2.4100000858306885\n"
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     "text": [
      "random losses: [0.87, 0.617, 1.108, 1.229, 1.649, 1.525, 0.683, 0.945, 1.763]\n"
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    },
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     "data": {
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      "loss: 1.2990000247955322\n"
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      "random losses: [0.759, 0.432, 0.922, 0.733, 0.791, 0.619, 0.737, 0.653, 0.852]\n"
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      "loss: 1.8969999551773071\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [1.143, 1.74, 2.251, 1.68, 1.519, 1.659, 1.426, 2.306, 1.439]\n"
     ]
    },
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     "text": [
      "loss: 49.779998779296875\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [36.888, 33.908, 34.085, 44.88, 29.951, 30.572, 46.697, 34.623, 22.824]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 122.11299896240234\n"
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     "text": [
      "random losses: [94.97, 96.918, 101.16, 98.692, 111.765, 100.601, 97.633, 125.897, 121.36]\n"
     ]
    },
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      "loss: 31.388999938964844\n"
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     "text": [
      "random losses: [42.094, 31.392, 35.203, 34.567, 30.678, 34.003, 22.454, 47.948, 47.93]\n"
     ]
    },
    {
     "data": {
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      "loss: 33.992000579833984\n"
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     "text": [
      "random losses: [40.736, 48.59, 32.137, 24.399, 52.565, 41.951, 41.006, 34.95, 34.043]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 4.261000156402588\n"
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     "text": [
      "random losses: [23.865, 44.181, 21.048, 18.816, 37.213, 17.278, 31.612, 25.697, 18.388]\n"
     ]
    },
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     "data": {
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      "loss: 185.55999755859375\n"
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     "text": [
      "random losses: [169.513, 162.238, 138.829, 128.994, 119.87, 148.363, 145.925, 145.621, 221.191]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 1227.5970458984375\n"
     ]
    },
    {
     "data": {
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     "text": [
      "random losses: [611.283, 686.925, 666.041, 594.369, 634.186, 690.579, 639.979, 813.703, 814.6]\n"
     ]
    },
    {
     "data": {
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      "loss: 2934.909912109375\n"
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     "output_type": "stream",
     "text": [
      "random losses: [559.687, 571.186, 383.474, 515.169, 485.049, 526.09, 520.65, 579.723, 433.994]\n"
     ]
    },
    {
     "data": {
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      "loss: 18.551000595092773\n"
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    },
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     "text": [
      "random losses: [90.373, 82.877, 123.067, 33.042, 73.941, 102.538, 85.236, 151.889, 70.061]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 2299.12890625\n"
     ]
    },
    {
     "data": {
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       "              0 <br/>\n",
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     "text": [
      "random losses: [617.583, 676.569, 799.368, 765.189, 623.724, 615.767, 625.539, 660.594, 661.216]\n"
     ]
    },
    {
     "data": {
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      "loss: 6.327000141143799\n"
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     "text": [
      "random losses: [8.582, 6.5, 7.948, 7.6, 5.703, 7.286, 6.565, 7.276, 7.158]\n"
     ]
    },
    {
     "data": {
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      "loss: 5.247000217437744\n"
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     "text": [
      "random losses: [3.428, 3.909, 4.076, 2.587, 4.094, 4.685, 4.157, 5.113, 3.796]\n"
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     "text": [
      "loss: 149.04100036621094\n"
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     "text": [
      "random losses: [67.287, 78.027, 51.712, 67.295, 48.288, 51.233, 91.123, 46.571, 48.874]\n"
     ]
    },
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      "loss: 0.0\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [227.153, 159.431, 215.834, 227.699, 155.113, 170.359, 90.795, 138.387, 61.572]\n"
     ]
    },
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     "text": [
      "random losses: [155.801, 118.791, 105.106, 196.634, 157.19, 136.351, 159.138, 119.803, 120.529]\n"
     ]
    },
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loss: 369.65399169921875\n"
     ]
    },
    {
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     "text": [
      "random losses: [264.9, 242.179, 354.572, 279.6, 244.885, 325.527, 275.627, 214.489, 348.552]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 726.1530151367188\n"
     ]
    },
    {
     "data": {
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       "              0 <br/>\n",
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     "text": [
      "random losses: [710.654, 601.264, 901.624, 536.752, 642.536, 469.911, 449.076, 592.394, 397.938]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 0.0\n"
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       "              0 <br/>\n",
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     "name": "stdout",
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     "text": [
      "random losses: [918.192, 954.609, 1119.69, 578.401, 886.834, 715.864, 670.734, 885.697, 1341.781]\n"
     ]
    },
    {
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     "text": [
      "loss: 2143.2080078125\n"
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     "data": {
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       "              0 <br/>\n",
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     "text": [
      "random losses: [621.002, 495.214, 876.206, 565.758, 404.95, 561.398, 581.878, 705.832, 646.136]\n"
     ]
    },
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     "text": [
      "loss: 419.3659973144531\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [90.073, 101.704, 60.072, 198.418, 203.86, 75.076, 194.473, 146.959, 62.21]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 26.961000442504883\n"
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     "text": [
      "random losses: [1012.453, 730.764, 1109.86, 810.726, 1361.966, 693.519, 807.425, 1180.553, 628.5]\n"
     ]
    },
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     "text": [
      "loss: 1048.4649658203125\n"
     ]
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       "              0 <br/>\n",
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     "text": [
      "random losses: [394.398, 804.061, 374.95, 655.239, 444.697, 347.53, 711.03, 805.663, 397.957]\n"
     ]
    },
    {
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      "loss: 2659.626953125\n"
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     "text": [
      "random losses: [1223.791, 1194.055, 929.99, 1453.978, 968.898, 1410.198, 862.434, 1095.414, 1220.221]\n"
     ]
    },
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      "random losses: [38.989, 78.021, 28.096, 36.05, 48.916, 78.861, 38.595, 52.497, 43.752]\n"
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     },
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     "text": [
      "random losses: [86.765, 86.318, 105.281, 96.816, 79.655, 103.328, 93.798, 78.344, 98.161]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 63.32600021362305\n"
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     "data": {
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       "              0 <br/>\n",
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [46.89, 53.252, 47.31, 79.045, 56.437, 66.819, 71.43, 63.908, 53.75]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 162.906005859375\n"
     ]
    },
    {
     "data": {
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       "              0 <br/>\n",
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     },
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [121.359, 164.643, 180.912, 95.173, 122.867, 198.432, 124.504, 100.052, 107.381]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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     "text": [
      "loss: 6.745999813079834\n"
     ]
    },
    {
     "data": {
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       "              0 <br/>\n",
       "              <img src=\"data:image/PNG;base64,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\" style=\"image-rendering: pixelated;\">\n",
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     "output_type": "stream",
     "text": [
      "random losses: [41.108, 43.702, 20.041, 31.541, 34.946, 36.103, 24.742, 37.64, 21.978]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 672.5269775390625\n"
     ]
    },
    {
     "data": {
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     "text": [
      "random losses: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n"
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      "loss: 1747.3360595703125\n"
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     "text": [
      "random losses: [730.1, 607.09, 781.861, 630.611, 685.985, 594.414, 712.151, 718.495, 593.707]\n"
     ]
    },
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      "loss: 15.847999572753906\n"
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     "text": [
      "random losses: [33.122, 47.087, 56.002, 64.1, 90.914, 47.826, 55.025, 79.4, 24.876]\n"
     ]
    },
    {
     "data": {
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      "loss: 2655.215087890625\n"
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     "text": [
      "random losses: [632.551, 423.048, 783.857, 926.096, 831.156, 697.321, 572.723, 390.142, 675.701]\n"
     ]
    },
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      "loss: 25.905000686645508\n"
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      "loss: 1648.5030517578125\n"
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      "loss: 1445.5489501953125\n"
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     "text": [
      "random losses: [374.177, 465.896, 921.389, 1007.554, 545.597, 363.75, 618.042, 492.851, 390.997]\n"
     ]
    },
    {
     "data": {
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      "loss: 1663.9949951171875\n"
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     "text": [
      "random losses: [89.894, 66.452, 119.081, 0.0, 69.279, 38.739, 167.815, 0.662, 201.274]\n"
     ]
    },
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       "              0 <br/>\n",
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     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [1222.294, 1878.499, 1647.023, 1430.531, 1575.196, 1516.835, 1497.886, 1449.336, 1185.828]\n"
     ]
    },
    {
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     "text": [
      "loss: 1838.2559814453125\n"
     ]
    },
    {
     "data": {
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       "              0 <br/>\n",
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     },
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     "name": "stdout",
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     "text": [
      "random losses: [921.405, 1253.975, 661.656, 595.787, 428.857, 457.624, 983.845, 664.714, 591.054]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 65.02999877929688\n"
     ]
    },
    {
     "data": {
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     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [854.172, 1083.457, 912.914, 1377.85, 983.523, 1133.873, 1159.017, 1043.11, 849.353]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 3621.487060546875\n"
     ]
    },
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     "data": {
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       "              0 <br/>\n",
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     "text": [
      "random losses: [2548.49, 2764.218, 3085.066, 2518.623, 2663.464, 2784.48, 2912.078, 2753.842, 2846.918]\n"
     ]
    },
    {
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     "text": [
      "loss: 1.7089999914169312\n"
     ]
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    {
     "data": {
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     "text": [
      "random losses: [1.798, 1.258, 1.447, 1.602, 1.372, 1.858, 1.801, 1.861, 1.871]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 78.94400024414062\n"
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    },
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     "text": [
      "random losses: [84.869, 79.083, 91.179, 82.595, 106.415, 90.506, 97.367, 73.324, 114.137]\n"
     ]
    },
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      "loss: 68.7509994506836\n"
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      "random losses: [65.29, 60.279, 63.995, 73.331, 81.953, 56.166, 57.102, 72.46, 55.632]\n"
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [673.02, 298.075, 734.717, 314.417, 268.445, 855.508, 546.501, 719.767, 278.007]\n"
     ]
    },
    {
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      "loss: 2415.202880859375\n"
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     "text": [
      "random losses: [165.434, 250.32, 306.131, 240.285, 717.059, 300.125, 331.498, 674.249, 265.668]\n"
     ]
    },
    {
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      "loss: 1260.4830322265625\n"
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     "text": [
      "random losses: [267.544, 252.54, 307.577, 337.238, 190.795, 245.249, 159.835, 177.115, 359.056]\n"
     ]
    },
    {
     "data": {
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      "loss: 31.51799964904785\n"
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    },
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     "data": {
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       "              0 <br/>\n",
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     "output_type": "stream",
     "text": [
      "random losses: [64.135, 176.574, 278.579, 201.697, 149.965, 153.423, 146.917, 124.268, 143.559]\n"
     ]
    },
    {
     "data": {
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     "text": [
      "loss: 1316.7359619140625\n"
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       "              0 <br/>\n",
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     "text": [
      "random losses: [236.347, 227.675, 613.032, 441.035, 529.208, 412.497, 407.119, 447.007, 351.371]\n"
     ]
    },
    {
     "data": {
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      "loss: 28.1560001373291\n"
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     "text": [
      "random losses: [87.968, 112.36, 84.23, 162.562, 53.744, 171.496, 90.538, 89.552, 111.298]\n"
     ]
    },
    {
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      "loss: 2190.60498046875\n"
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       "              0 <br/>\n",
       "              <img src=\"data:image/PNG;base64,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\" style=\"image-rendering: pixelated;\">\n",
       "            </div></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random losses: [385.652, 360.932, 757.795, 458.679, 531.35, 712.166, 438.079, 712.85, 811.642]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/PNG;base64,[encoded data, 32812 characters]\" style=\"image-rendering: pixelated;\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for tag in model_tags:\n",
    "\n",
    "    model_dirs = get_model_path(tag, filter_='all')[-n_reps:]\n",
    "    paths = [get_model_paths(d) for d in model_dirs]\n",
    "\n",
    "    for i, path in enumerate(paths):\n",
    "\n",
    "        for is_unpruned in [True, False]:\n",
    "            model_path = path[is_unpruned]\n",
    "\n",
    "            inpt = 'conv2d_input'\n",
    "            outpt = 'dense_2/Softmax'\n",
    "            if not is_unpruned:\n",
    "                inpt = 'prune_low_magnitude_' + inpt\n",
    "                outpt = 'prune_low_magnitude_' + outpt\n",
    "                weight_path = str(next(model_dirs[i].glob('*-pruned-weights.pckl')))\n",
    "            else:\n",
    "                weight_path = str(next(model_dirs[i].glob('*-unpruned-weights.pckl')))\n",
    "\n",
    "            with tf.Graph().as_default() as graph, tf.Session() as sess, suppress(), all_logging_disabled():\n",
    "                keras_model = load_model2(model_path)\n",
    "                lucid_model = lucid_model_factory(model_image_shape=(32, 32, 3),\n",
    "                                                  model_input_name=inpt,\n",
    "                                                  model_output_name=outpt)\n",
    "\n",
    "            # print_model_nodes(lucid_model)\n",
    "\n",
    "            labels, _ = run_spectral_cluster(weight_path, n_clusters=n_clust, with_shuffle=False)\n",
    "\n",
    "            make_lucid_dataset(tag+str(i), lucid_model, labels, is_unpruned, transforms=transforms)\n"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.5"
  },
  "papermill": {
   "duration": 77566.668941,
   "end_time": "2020-09-23T04:14:57.043107",
   "environment_variables": {},
   "exception": null,
   "input_path": "./notebooks/lucid_make_dataset_cnn_vgg.ipynb",
   "output_path": "./notebooks/lucid_make_dataset_cnn_vgg.ipynb",
   "parameters": {},
   "start_time": "2020-09-22T06:42:10.374166",
   "version": "2.1.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}