{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "77fa90bd-82dd-46dc-82f6-aaf21bacb0e6",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "from pathlib import Path\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "import sys\n",
    "\n",
    "sys.path.append(Path('./').resolve().parent.__str__())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6cdc5378-cba7-4503-8d8b-e951aff0bc64",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def convert_format(state_dict):\n",
    "    return {\n",
    "        'coeff': np.stack([\n",
    "            val.cpu().numpy()\n",
    "            for key, val in state_dict.items()\n",
    "            if 'sadcl_coeff' in key\n",
    "        ]),\n",
    "        'linears': np.stack([\n",
    "            val.cpu().numpy()\n",
    "            for key, val in state_dict.items()\n",
    "            if 'sadcl_embs_diff' in key\n",
    "        ]),\n",
    "        'origs': np.stack([\n",
    "            val.cpu().numpy()\n",
    "            for key, val in state_dict.items()\n",
    "            if 'pretrained_embs' in key\n",
    "        ]),\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "7646de25-28be-4548-94ce-fc2e444f4d17",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from _mydelta.multi_prompt import MultiPrompt\n",
    "\n",
    "\n",
    "def read_prompts(model_size):\n",
    "    tasks = {\n",
    "        'glue-qqp': 'QQP',\n",
    "        'glue-qnli': 'QNLI',\n",
    "        'glue-mnli': 'MNLI',\n",
    "        'glue-sst2': 'SST-2',\n",
    "        'glue-stsb': 'STS-B',\n",
    "        'glue-mrpc': 'MRPC',\n",
    "        'glue-cola': 'CoLA',\n",
    "        'superglue-multirc': 'MultiRC',\n",
    "        'superglue-rte': 'RTE',\n",
    "        'superglue-cb': 'CB',\n",
    "        'superglue-copa': 'COPA',\n",
    "        'superglue-wic': 'WiC',\n",
    "        'superglue-boolq': 'BoolQ'\n",
    "    }\n",
    "\n",
    "    tasks_prompts = {}\n",
    "\n",
    "    for task_name, good_taskname in tasks.items():\n",
    "        pretrained_path = Path(f'/disks/ssd/hzi_trained/hzi_cluster_t5_{model_size}_{task_name}/10_combine_128')\n",
    "        weight_path = pretrained_path / 'best.pt'\n",
    "\n",
    "        final_prompt = MultiPrompt.get_saved_final_emb(\n",
    "            config_path=pretrained_path / 'config.json',\n",
    "            weights_path=weight_path\n",
    "        ).numpy()\n",
    "        combined_info = convert_format(torch.load(weight_path))\n",
    "        tasks_prompts[good_taskname] = {\n",
    "            **combined_info,\n",
    "            'final': final_prompt\n",
    "        }\n",
    "    return tasks_prompts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ab727e92-feee-41f5-ae4b-baccefafc719",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import matplotlib as mpl\n",
    "\n",
    "tasks_prompts = read_prompts('base')\n",
    "all_coeff = np.stack([all_info['coeff'] for all_info in tasks_prompts.values()])\n",
    "all_coeff_norm = all_coeff / np.linalg.norm(all_coeff, axis=2, keepdims=True)\n",
    "\n",
    "plt.rcParams.update({\"text.usetex\": True, \"font.family\": \"Times New Roman\", \"font.weight\": \"bold\"})\n",
    "\n",
    "for idx in range(10):\n",
    "    token = all_coeff_norm[:, idx, :]\n",
    "\n",
    "    tasks_map_list = list(tasks_prompts.keys())\n",
    "\n",
    "    current_ax = sns.clustermap(token @ token.T, cmap=\"bwr_r\", vmin=-1)\n",
    "    old_ticks = current_ax.ax_heatmap.get_xticklabels()\n",
    "    new_ticks = [tasks_map_list[int(tick.get_text())] for tick in old_ticks]\n",
    "    current_ax.ax_heatmap.set_xticklabels(new_ticks, fontsize=45, rotation=90)\n",
    "    current_ax.ax_heatmap.set_yticklabels(new_ticks, fontsize=45, ha='left', rotation=0)\n",
    "    current_ax.ax_cbar.set_yticklabels([], fontsize=35)\n",
    "    current_ax.savefig(f'{idx}.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "da9779f5-c272-4e33-b478-782d22cda7ad",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import PIL\n",
    "\n",
    "def concat_images(images):\n",
    "    w, h = images[0].size\n",
    "    height = h\n",
    "    total_width = len(images) * w\n",
    "        \n",
    "    return_value = PIL.Image.new('RGB', (total_width, height))\n",
    "    \n",
    "    total_width = 0\n",
    "    for image in images:\n",
    "        w, h = image.size\n",
    "        return_value.paste(image, (total_width, 0))\n",
    "        total_width += w\n",
    "    \n",
    "    return return_value\n",
    "\n",
    "row1 = concat_images([PIL.Image.open(f'{idx}.png') for idx in range(5)])\n",
    "row2 = concat_images([PIL.Image.open(f'{idx}.png') for idx in range(5, 10)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "575a11cf-b2fc-4a75-8143-24e8f1424952",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "row1.save('row1.png')\n",
    "row2.save('row2.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "adab524f-21d5-4175-a241-386e6d60eefe",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(1, 0.5, 'CoLA'),\n",
       " Text(1, 1.5, 'QQP'),\n",
       " Text(1, 2.5, 'WiC'),\n",
       " Text(1, 3.5, 'MRPC'),\n",
       " Text(1, 4.5, 'MultiRC'),\n",
       " Text(1, 5.5, 'STS-B'),\n",
       " Text(1, 6.5, 'BoolQ'),\n",
       " Text(1, 7.5, 'CB'),\n",
       " Text(1, 8.5, 'COPA'),\n",
       " Text(1, 9.5, 'QNLI'),\n",
       " Text(1, 10.5, 'RTE'),\n",
       " Text(1, 11.5, 'MNLI'),\n",
       " Text(1, 12.5, 'SST-2')]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "all_coeff_norm = all_coeff / np.linalg.norm(all_coeff, axis=2, keepdims=True)\n",
    "\n",
    "def thresholding(mat, thr=0.4):\n",
    "    positives = mat > thr\n",
    "    negatives = mat < -thr\n",
    "    return np.ones_like(mat) * positives - np.ones_like(mat) * negatives\n",
    "\n",
    "res = sum(thresholding(all_coeff_norm[:, idx, :] @ all_coeff_norm[:, idx, :].T) for idx in range(10)) / 10\n",
    "current_ax = sns.clustermap(res, cmap=\"bwr_r\", vmin=-1)\n",
    "\n",
    "old_ticks = current_ax.ax_heatmap.get_xticklabels()\n",
    "new_ticks = [tasks_map_list[int(tick.get_text())] for tick in old_ticks]\n",
    "current_ax.ax_heatmap.set_xticklabels(new_ticks, fontsize=45, rotation=90)\n",
    "current_ax.ax_heatmap.set_yticklabels(new_ticks, fontsize=45, ha='left', rotation=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "1ed2b683-b4d1-41c1-af28-1aa3b1ecdfa3",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10, 13, 768)"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# feat = all_coeff.transpose([2, 0, 1])\n",
    "# print(feat.shape)\n",
    "# feat = feat.reshape([feat.shape[0], -1])\n",
    "# print(feat.shape)\n",
    "# feat = feat.T\n",
    "# print(feat.shape)\n",
    "# feat_norm = StandardScaler().fit_transform(feat)\n",
    "# print(feat_norm.shape)\n",
    "# feat_norm = feat_norm.T\n",
    "# print(feat_norm.shape)\n",
    "# feat_norm = feat_norm.reshape([128, 13, 10])\n",
    "# print(feat_norm.shape)\n",
    "# feat_norm = feat_norm.transpose([2, 1, 0])\n",
    "# print(feat_norm.shape)\n",
    "\n",
    "feat = np.stack([all_info['final'] for all_info in tasks_prompts.values()]).transpose([1, 0, 2])\n",
    "feat.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "e9e65b03-ba2b-4a68-8c1a-6b32edac9740",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(13, 2)"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.manifold import TSNE\n",
    "from sklearn.decomposition import PCA\n",
    "\n",
    "embedding = TSNE(n_components=2, perplexity=2).fit_transform(feat[5])\n",
    "embedding.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "672095c3-e0f7-4cf2-b21d-d5a400d58738",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "tasks = {\n",
    "    'glue-qqp': 'QQP',\n",
    "    'glue-qnli': 'QNLI',\n",
    "    'glue-mnli': 'MNLI',\n",
    "    'glue-sst2': 'SST-2',\n",
    "    'glue-stsb': 'STS-B',\n",
    "    'glue-mrpc': 'MRPC',\n",
    "    'glue-cola': 'CoLA',\n",
    "    'superglue-multirc': 'MultiRC',\n",
    "    'superglue-rte': 'RTE',\n",
    "    'superglue-cb': 'CB',\n",
    "    'superglue-copa': 'COPA',\n",
    "    'superglue-wic': 'WiC',\n",
    "    'superglue-boolq': 'BoolQ'\n",
    "}\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "ax.scatter(\n",
    "    embedding[:, 0],\n",
    "    embedding[:, 1],\n",
    ")\n",
    "# plt.gca().set_aspect('equal', 'datalim')\n",
    "for i, txt in enumerate(tasks.values()):\n",
    "    ax.annotate(txt, (embedding[i, 0], embedding[i, 1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "62b628d4-159b-4a29-a8ee-66ee0b38652d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "token_ids = [mapper[token] for token in np.argmax(token_weights, axis=1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5bd9f27a-d413-495a-9dfe-23a4d9c39fd1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'appelstitution Come qualifistitutionviz volleyball Dortmundhéropathie'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tokenizer1.decode(token_ids)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "70167b2b-22b3-469e-829b-e32676560541",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "token = all_coeff_norm[:, 5, :]\n",
    "sns.heatmap(np.abs(token @ token.T), cmap=\"Blues\", )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "5d8fa7e1-14f7-4e2f-b478-c2027f730e1a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "token = all_coeff_norm[:, 5, :]\n",
    "sns.heatmap(np.abs(token @ token.T), cmap=\"Blues\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "26921b6d-32aa-45bd-8521-89a31b812f26",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "final_prompt_norm = final_prompt / np.linalg.norm(final_prompt, ord=2, keepdims=True, axis=1)\n",
    "source_prompts_norm = source_prompts / np.linalg.norm(source_prompts, ord=2, keepdims=True, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "01677027-a468-468f-83fa-3c4ea18a7336",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "KeyboardInterrupt\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x3840 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def heatmap(w, use_abs=False):\n",
    "    if use_abs:\n",
    "        w = np.abs(w)\n",
    "        \n",
    "    plt.figure(figsize = (6, 0.3 * w.shape[0]))\n",
    "    sns.heatmap(w, annot=True, fmt='.2f')\n",
    "\n",
    "heatmap(source_prompts_norm @ final_prompt_norm.T > 0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f02b1039-8227-4c6b-9c5b-6c4cdab82ba3",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(128, 768)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "source_prompts.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3c230b4a-26c9-4fb7-989c-6e72972b9a87",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "heatmap(np.linalg.norm(best['linears'], ord=2, axis=2).T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "938f9a97-7631-400f-80e0-313a79da602d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "heatmap(np.linalg.norm(best['origs'] + best['linears'], ord=2, axis=2).T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f9e96190-c5d6-405d-818b-fde686b85e66",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "np.linalg.norm(best['linears'][0][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cd80eac6-1692-441b-8d17-943d1bbd39cd",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "best['origs'].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ee031d89-b895-4f82-adbd-18a2fe00a1b9",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "np.linalg.norm(best['origs'][0, 83])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "99bceab4-f405-40f4-ac7b-612022742e89",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "sns.histplot(best['coeff'].ravel())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "499f354c-29e3-4f73-9066-376a5364c69b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "mat_diffs(first, last)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cca4988e-221f-4ddf-b126-bd494aa8b68e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "plot_dist_embeding(torch.load(str(generate_path('large', 20))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2dca953d-1fed-47c2-ab83-dc9ec161fece",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "w = torch.load(str(generate_path('large', 20)))['sadcl_learned_embedding'].cpu().numpy()\n",
    "plt.figure(figsize = (32,5))\n",
    "sns.heatmap(w.T, annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "22c24a2d-74a0-4f2e-b9c1-acadc1e7abbc",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "w = torch.load(str(generate_path('base', 20)))['sadcl_learned_embedding'].cpu().numpy()\n",
    "plt.figure(figsize = (32,5))\n",
    "sns.heatmap(w.T, annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b39cdc62-f78c-468f-a781-ab6a0912dd11",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from transformers import T5ForConditionalGeneration, T5TokenizerFast\n",
    "\n",
    "RANDOM_SEED = 42\n",
    "np.random.seed(RANDOM_SEED)\n",
    "\n",
    "# ______________________LOAD MODEL_____________________________\n",
    "\n",
    "model = T5ForConditionalGeneration.from_pretrained('google/t5-small-lm-adapt')\n",
    "tokenizer = T5TokenizerFast.from_pretrained('google/t5-small-lm-adapt', model_max_length=2048)\n",
    "# ______________________MUTATE MODEL_____________________________\n",
    "slected_tokens = torch.from_numpy(\n",
    "    np.random.choice(\n",
    "        tokenizer.vocab_size,\n",
    "        size=(128,),\n",
    "        replace=False)\n",
    ")\n",
    "slected_tokens[83]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2e8df51d-324c-492b-b2a7-2052e771ba9c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "tokenizer.decode(32099)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d56afb4d-03a0-4ee0-a5ab-2fd176fded55",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "all_special = ''\n",
    "for key, val in tokenizer.special_tokens_map.items():\n",
    "    if isinstance(val, str):\n",
    "        all_special += val\n",
    "    else:\n",
    "        all_special += ''.join(val)\n",
    "tokens = tokenizer(all_special, add_special_tokens=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c59f54ca-f221-4e1a-b395-bf79e718a599",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "sp_tokens = [1, 2, 0, 32099, 32098, 32097, 32096, 32095, 32094, 32093, 32092, 32091, 32090, 32089, 32088, 32087, 32086, 32085, 32084, 32083, 32082, 32081, 32080, 32079, 32078, 32077, 32076, 32075, 32074, 32073, 32072, 32071, 32070, 32069, 32068, 32067, 32066, 32065, 32064, 32063, 32062, 32061, 32060, 32059, 32058, 32057, 32056, 32055, 32054, 32053, 32052, 32051, 32050, 32049, 32048, 32047, 32046, 32045, 32044, 32043, 32042, 32041, 32040, 32039, 32038, 32037, 32036, 32035, 32034, 32033, 32032, 32031, 32030, 32029, 32028, 32027, 32026, 32025, 32024, 32023, 32022, 32021, 32020, 32019, 32018, 32017, 32016, 32015, 32014, 32013, 32012, 32011, 32010, 32009, 32008, 32007, 32006, 32005, 32004, 32003, 32002, 32001, 32000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b81cef7b-acaa-484c-b59e-d88ffe8e91ae",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "len(sp_tokens)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6d752831-866b-4551-ad1e-df32c3f7f1aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenizer.special_tokens_map\n",
    "special_text = '</s><unk><pad><extra_id_0><extra_id_10><extra_id_20>'\n",
    "tokenizer(special_text, add_special_tokens=False).input_ids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "18b5149d-0259-46b5-9a12-a6c7f587a995",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "eid = lambda x: f'<extra_id_{x}>'\n",
    "all_eids = [eid(idx) for idx in range(0, 100)]\n",
    "eid_all = ''.join(all_eids)\n",
    "eid_ids = tokenizer(eid_all, add_special_tokens=False, return_tensors='pt').input_ids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7d8a8926-1cf1-48d2-beb8-3259f910673a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "tokenizer.vocab_size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f331d466-863b-437b-ab97-76cbc537655d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "0. == 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aae7a0e3-2cef-4213-a2ea-7b93b26f045c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "eid_ids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f29e85a1-2547-476d-b5dd-a0eccb20b2c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "embs = model.get_encoder().get_input_embeddings()(eid_ids)[0]\n",
    "for str_tok, norm2 in zip(all_eids, np.linalg.norm(embs.detach().numpy(), axis=1)):\n",
    "    print(str_tok, \"%.2f\" % norm2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bafd5cdd-06e6-4eac-babd-1100977a1611",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "torch.nn.functional.normalize(torch.Tensor([[3, 4], [5, 12]]), dim=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "76bd4561-df59-4e12-9b33-8ec551546860",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "torch.Tensor([[3, 4], [5, 12]])[:, 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a60a702b-1183-4b7b-b082-86f2efe378d2",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "3 / 34 ** 0.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "39d3f1b7-ee14-464c-b5e1-920e9f3059d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "f = lambda n: f\"\"\"- <<: *default\n",
    "  model_name: google/t5-base-lm-adapt\n",
    "  wandb_name: base_5_{n}\n",
    "  peft_params:\n",
    "    kind: comb_prompt\n",
    "    n_tokens: 5\n",
    "    n_comb_tokens: {n}\n",
    "    with_relu: False\n",
    "    with_softmax: False\n",
    "    keep_random: False\n",
    "- <<: *default\n",
    "  model_name: google/t5-base-lm-adapt\n",
    "  wandb_name: base_5_{n}_random\n",
    "  peft_params:\n",
    "    kind: comb_prompt\n",
    "    n_tokens: 5\n",
    "    n_comb_tokens: {n}\n",
    "    with_relu: False\n",
    "    with_softmax: False\n",
    "    keep_random: True\"\"\"\n",
    "print('\\n'.join(f(n) for n in [16, 32, 64, 128, 256]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ecf0a222-c9f8-4afe-a344-c48f4148e8c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "torch.nn.functional.gumbel_softmax(torch.tensor([10., 100.]), hard=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "afcac90a-62bb-4b37-89a6-d2e0376a5227",
   "metadata": {},
   "outputs": [],
   "source": [
    "torch.norm(torch.Tensor([3, 3]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fd457338-2f67-4c2b-b0bc-2684ea66e6b3",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "torch.zeros(1) + 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "182b69ab-4d05-45b7-9c13-45bc73d1b885",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from transformers import T5TokenizerFast, T5Model\n",
    "\n",
    "tokenizer = T5TokenizerFast.from_pretrained('google/t5-large-lm-adapt', model_max_length=2048)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e2f8fe0f-308b-4b61-baf9-c4e6f4b15747",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "m = T5Model.from_pretrained('google/t5-large-lm-adapt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4fd109ce-210c-4f3d-b4d3-a6da4db3b555",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "m.name_or_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "58fb592b-6320-487e-9a5a-0dace468cd38",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "tokenizer(\"hi: hi\").tokens()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6a9b1965-da42-4343-b3bc-1c03af28ce36",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "tokenizer.sep_token"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "53d15e20-5622-4b4a-bbc1-c0816c56742d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3a41babdc00e411ca59b80c685054844",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading (…)neration_config.json:   0%|          | 0.00/124 [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from transformers import GPT2Tokenizer, GPT2LMHeadModel\n",
    "tokenizer = GPT2Tokenizer.from_pretrained('gpt2')\n",
    "model = GPT2LMHeadModel.from_pretrained('gpt2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "f6694ba9-9d3f-4347-b96f-53f859392486",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Setting `pad_token_id` to `eos_token_id`:50256 for open-end generation.\n"
     ]
    }
   ],
   "source": [
    "text = \"Replace me by any text you'd like.\"\n",
    "encoded_input = tokenizer(text, return_tensors='pt')\n",
    "output = model.generate(**encoded_input, max_new_tokens=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "05429688-6851-43a6-9254-012465d299e1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"Replace me by any text you'd like.\\n\\nI'm not sure if you're aware of this, but I'm not sure if you're aware of this, but I'm not sure if you're aware of this, but I'm not sure if you're aware of this, but\""
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tokenizer.decode(output[0].tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "739acd73-9a08-46cc-8078-7f365cc5ca39",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GPT2Config {\n",
       "  \"_name_or_path\": \"gpt2\",\n",
       "  \"activation_function\": \"gelu_new\",\n",
       "  \"architectures\": [\n",
       "    \"GPT2LMHeadModel\"\n",
       "  ],\n",
       "  \"attn_pdrop\": 0.1,\n",
       "  \"bos_token_id\": 50256,\n",
       "  \"embd_pdrop\": 0.1,\n",
       "  \"eos_token_id\": 50256,\n",
       "  \"initializer_range\": 0.02,\n",
       "  \"layer_norm_epsilon\": 1e-05,\n",
       "  \"model_type\": \"gpt2\",\n",
       "  \"n_ctx\": 1024,\n",
       "  \"n_embd\": 768,\n",
       "  \"n_head\": 12,\n",
       "  \"n_inner\": null,\n",
       "  \"n_layer\": 12,\n",
       "  \"n_positions\": 1024,\n",
       "  \"reorder_and_upcast_attn\": false,\n",
       "  \"resid_pdrop\": 0.1,\n",
       "  \"scale_attn_by_inverse_layer_idx\": false,\n",
       "  \"scale_attn_weights\": true,\n",
       "  \"summary_activation\": null,\n",
       "  \"summary_first_dropout\": 0.1,\n",
       "  \"summary_proj_to_labels\": true,\n",
       "  \"summary_type\": \"cls_index\",\n",
       "  \"summary_use_proj\": true,\n",
       "  \"task_specific_params\": {\n",
       "    \"text-generation\": {\n",
       "      \"do_sample\": true,\n",
       "      \"max_length\": 50\n",
       "    }\n",
       "  },\n",
       "  \"transformers_version\": \"4.34.0\",\n",
       "  \"use_cache\": true,\n",
       "  \"vocab_size\": 50257\n",
       "}"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.ge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "85c3260e-bf6f-400c-818c-207db46df31d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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