chessclip_demo.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ziyu/miniconda3/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n",
      "2023-08-22 03:06:34.819019: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n",
      "2023-08-22 03:06:34.865237: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
      "To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "2023-08-22 03:06:35.521424: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "error loading language detector, skip\n",
      "finish copy\n",
      "9936897\n",
      "Model parameters: 67,060,225\n",
      "Context length: 77\n",
      "Vocab size: 49408\n",
      "game_Sicilian_Defense.pgn\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-22 03:07:15.134182: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 47611 MB memory:  -> device: 0, name: NVIDIA A800-SXM4-80GB, pci bus id: 0000:0d:00.0, compute capability: 8.0\n",
      "2023-08-22 03:07:15.135418: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 50466 MB memory:  -> device: 1, name: NVIDIA A800-SXM4-80GB, pci bus id: 0000:13:00.0, compute capability: 8.0\n",
      "2023-08-22 03:07:15.136650: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 50592 MB memory:  -> device: 2, name: NVIDIA A800-SXM4-80GB, pci bus id: 0000:29:00.0, compute capability: 8.0\n",
      "2023-08-22 03:07:15.138076: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 50282 MB memory:  -> device: 3, name: NVIDIA A800-SXM4-80GB, pci bus id: 0000:2d:00.0, compute capability: 8.0\n",
      "2023-08-22 03:07:15.139430: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:4 with 50326 MB memory:  -> device: 4, name: NVIDIA A800-SXM4-80GB, pci bus id: 0000:c5:00.0, compute capability: 8.0\n",
      "2023-08-22 03:07:15.140788: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:5 with 50306 MB memory:  -> device: 5, name: NVIDIA A800-SXM4-80GB, pci bus id: 0000:ca:00.0, compute capability: 8.0\n",
      "2023-08-22 03:07:15.142308: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:6 with 50602 MB memory:  -> device: 6, name: NVIDIA A800-SXM4-80GB, pci bus id: 0000:e0:00.0, compute capability: 8.0\n",
      "2023-08-22 03:07:15.143954: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:7 with 46538 MB memory:  -> device: 7, name: NVIDIA A800-SXM4-80GB, pci bus id: 0000:e4:00.0, compute capability: 8.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "game_Caro_Kann_Defense.pgn\n",
      "game_Scandinavian_Defense.pgn\n",
      "game_English_Opening.pgn\n",
      "game_French_Defense.pgn\n",
      "game_Philidor_Defense.pgn\n",
      "game_Queens_Gambit.pgn\n",
      "game_Queens_Indian_Defense.pgn\n",
      "game_London_System.pgn\n",
      "game_Italian_Game.pgn\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 2000x2500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import sys\n",
    "import os\n",
    "sys.path.append('./chessclip/src')\n",
    "import torch\n",
    "import io\n",
    "import chess.pgn\n",
    "import numpy as np\n",
    "from chess_ai.feature_converter import get_lc0_input_planes_tf\n",
    "from chess_ai.datasets.tfds.pgn_base import generate_examples_from_game_no_comment\n",
    "\n",
    "import open_clip\n",
    "from open_clip.factory import get_tokenizer, load_checkpoint\n",
    "\n",
    "# init\n",
    "model_name = 'chessclip-quickgelu'\n",
    "model = open_clip.create_model(model_name, pretrained='openai')\n",
    "tokenizer = get_tokenizer(model_name)\n",
    "\n",
    "# load model\n",
    "load_checkpoint(model, '../epoch_latest.pt')\n",
    "\n",
    "# check parameters\n",
    "model.eval()\n",
    "context_length = model.text.context_length\n",
    "vocab_size = model.text.vocab_size\n",
    "\n",
    "print(\"Model parameters:\", f\"{np.sum([int(np.prod(p.shape)) for p in model.parameters()]):,}\")\n",
    "print(\"Context length:\", context_length)\n",
    "print(\"Vocab size:\", vocab_size)\n",
    "\n",
    "# generate board/action embedding based on pgn string\n",
    "def generate_representation_for_final(pgn):\n",
    "    game = chess.pgn.read_game(io.StringIO(pgn))\n",
    "    data = list(generate_examples_from_game_no_comment(game))[-1]\n",
    "    for key in data.keys():\n",
    "        data[key] = np.array(data[key])\n",
    "    board = get_lc0_input_planes_tf(data).numpy()\n",
    "    action = data['probs']\n",
    "    return board, action\n",
    "\n",
    "descriptions = {\n",
    "    \"Sicilian_Defense\": \"Black plays Sicilian Defense\",\n",
    "    \"Caro_Kann_Defense\": \"Black plays Caro-Kann Defense\",\n",
    "    \"Scandinavian_Defense\": \"Black plays Scandinavian Defense\",\n",
    "    \"English_Opening\": \"White plays English Opening\",\n",
    "    \"French_Defense\": \"Black plays French Opening\",\n",
    "    \"Philidor_Defense\": \"Black plays Philidor Defense\",\n",
    "    \"Queens_Gambit\": \"White plays Queen's Gambit\",\n",
    "    \"Queens_Indian_Defense\": \"Black plays Queen's Indian Defense\",\n",
    "    \"London_System\": \"White plays London System\",\n",
    "    \"Italian_Game\": \"White plays Italian Game\",\n",
    "}\n",
    "\n",
    "os.makedirs('./game_pgns/images/', exist_ok=True)\n",
    "\n",
    "# generate plots for those openings\n",
    "for key in descriptions.keys():\n",
    "    name = 'game_' + key\n",
    "    with open(os.path.join('./game_pgns/', name + \".pgn\"), \"rt\") as f:\n",
    "        pgn = f.read()\n",
    "    game = chess.pgn.read_game(io.StringIO(pgn))\n",
    "    game = game.end()\n",
    "    boardsvg = chess.svg.board(game.board(), size=350)\n",
    "    outputfile = open('./game_pgns/images/' + name + '.svg', \"w\")\n",
    "    outputfile.write(boardsvg)\n",
    "    outputfile.close()\n",
    "\n",
    "import cairosvg\n",
    "# conver svg images to png files\n",
    "for key in descriptions.keys():\n",
    "    name = 'game_' + key\n",
    "    path = './game_pgns/images/' + name + '.svg'\n",
    "    out_path = './game_pgns/images/' + name + '.png'\n",
    "    cairosvg.svg2png(\n",
    "        url=path, write_to=out_path)\n",
    "\n",
    "descriptions = {\n",
    "    \"Sicilian_Defense\": \"Black plays Sicilian Defense\",\n",
    "    \"Caro_Kann_Defense\": \"Black plays Caro-Kann Defense\",\n",
    "    \"Scandinavian_Defense\": \"Black plays Scandinavian Defense\",\n",
    "    \"English_Opening\": \"White plays English Opening\",\n",
    "    \"French_Defense\": \"Black plays French Opening\",\n",
    "    \"Philidor_Defense\": \"Black plays Philidor Defense\",\n",
    "    \"Queens_Gambit\": \"White plays Queen's Gambit\",\n",
    "    \"Queens_Indian_Defense\": \"Black plays Queen's Indian Defense\",\n",
    "    \"London_System\": \"White plays London System\",\n",
    "    \"Italian_Game\": \"White plays Italian Game\",\n",
    "}\n",
    "\n",
    "# generate plots for those openings\n",
    "for key in descriptions.keys():\n",
    "    name = 'game_' + key\n",
    "    with open(os.path.join('./game_pgns/', name + \".pgn\"), \"rt\") as f:\n",
    "        pgn = f.read()\n",
    "    game = chess.pgn.read_game(io.StringIO(pgn))\n",
    "    game = game.end()\n",
    "    boardsvg = chess.svg.board(game.board(), size=350)\n",
    "    outputfile = open('./game_pgns/images/' + name + '.svg', \"w\")\n",
    "    outputfile.write(boardsvg)\n",
    "    outputfile.close()\n",
    "\n",
    "import cairosvg\n",
    "# conver svg images to png files\n",
    "for key in descriptions.keys():\n",
    "    name = 'game_' + key\n",
    "    path = './game_pgns/images/' + name + '.svg'\n",
    "    out_path = './game_pgns/images/' + name + '.png'\n",
    "    cairosvg.svg2png(\n",
    "        url=path, write_to=out_path)\n",
    "\n",
    "boards = []\n",
    "actions = []\n",
    "for key in descriptions.keys():\n",
    "    name = 'game_' + key + '.pgn'\n",
    "    print(name)\n",
    "    with open(os.path.join('./game_pgns/', name), \"rt\") as f:\n",
    "        pgn = f.read()\n",
    "    board, action = generate_representation_for_final(pgn)\n",
    "    boards.append(torch.from_numpy(board))\n",
    "    actions.append(torch.from_numpy(action))\n",
    "\n",
    "texts = []   \n",
    "for name in descriptions:\n",
    "    texts.append(descriptions[name])\n",
    "\n",
    "import IPython.display\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image\n",
    "\n",
    "original_images = []\n",
    "for key in descriptions.keys():\n",
    "    name = 'game_' + key\n",
    "    out_path = './game_pgns/images/' + name + '.png'\n",
    "    original_images.append(Image.open(out_path).convert(\"RGB\"))\n",
    "\n",
    "image_input = torch.stack(boards)\n",
    "action_input = torch.stack(actions)\n",
    "text_tokens = tokenizer([desc for desc in texts])\n",
    "with torch.no_grad():\n",
    "    image_features = model.encode_image((image_input, action_input)).float()\n",
    "    text_features = model.encode_text(text_tokens).float()\n",
    "\n",
    "image_features /= image_features.norm(dim=-1, keepdim=True)\n",
    "text_features /= text_features.norm(dim=-1, keepdim=True)\n",
    "similarity = text_features.cpu().numpy() @ image_features.cpu().numpy().T\n",
    "\n",
    "count = len(descriptions)\n",
    "\n",
    "plt.figure(figsize=(20, 25))\n",
    "plt.imshow(similarity, vmin=0.1, vmax=0.3)\n",
    "plt.yticks(range(count), texts, fontsize=18)\n",
    "plt.xticks([])\n",
    "for i, image in enumerate(original_images):\n",
    "    plt.imshow(image, extent=(i - 0.5, i + 0.5, -1.6, -0.6), origin=\"lower\")\n",
    "for x in range(similarity.shape[1]):\n",
    "    for y in range(similarity.shape[0]):\n",
    "        plt.text(x, y, f\"{similarity[y, x]:.2f}\", ha=\"center\", va=\"center\", size=12)\n",
    "\n",
    "for side in [\"left\", \"top\", \"right\", \"bottom\"]:\n",
    "  plt.gca().spines[side].set_visible(False)\n",
    "\n",
    "plt.xlim([-0.5, count - 0.5])\n",
    "plt.ylim([count + 0.5, -2])\n",
    "\n",
    "plt.title(\"Cosine similarity between text and image features\", size=20)\n",
    "plt.savefig('./result.pdf',bbox_inches='tight', pad_inches = 0.3)\n",
    "\n"
   ]
  }
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