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+{"cells":[{"cell_type":"markdown","metadata":{},"source":["# NAME SURNAME"]},{"cell_type":"markdown","metadata":{},"source":["## Packages"]},{"cell_type":"code","execution_count":1,"metadata":{"_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","execution":{"iopub.execute_input":"2025-01-07T10:33:46.313989Z","iopub.status.busy":"2025-01-07T10:33:46.313500Z","iopub.status.idle":"2025-01-07T10:33:47.366475Z","shell.execute_reply":"2025-01-07T10:33:47.365189Z","shell.execute_reply.started":"2025-01-07T10:33:46.313904Z"},"trusted":true},"outputs":[],"source":["import networkx as nx # For graphs\n","import pickle # For data parsing\n","import matplotlib.pyplot as plt\n","from networkx.algorithms.approximation import greedy_tsp # For approx TSP\n","import numpy as np\n","import torch\n","import torch.nn as nn\n","import torch.nn.functional as F\n","\n","torch.set_float32_matmul_precision('medium')\n","torch.use_deterministic_algorithms(False)"]},{"cell_type":"markdown","metadata":{},"source":["## Helper functions"]},{"cell_type":"code","execution_count":2,"metadata":{"trusted":true},"outputs":[],"source":["\n","def tour_length(G, tour):\n","    \"\"\"\n","    Compute the length of a tour. A tour is a list having elments 0 and -1 equal\n","    \"\"\"\n","    n = len(tour) - 1\n","    assert tour[0] == tour[-1], \"Not valid tour\"\n","    estimated = 0\n","    for i in range(n):\n","        estimated += G[tour[i]][tour[i + 1]]['weight']\n","    return estimated\n","\n","def greedy_algorithm(G):\n","    \"\"\"\n","    Run the value of the greedy approximation algorithm on graph G\n","    \"\"\"\n","    return tour_length(G, greedy_tsp(G, weight='weight'))\n","\n","def random_tour(G, seed = 42):\n","    \"\"\"\n","    Return the value of a random tour\n","    \"\"\"\n","    np.random.seed(seed)\n","    n = G.number_of_nodes()\n","    tour = [0]\n","    for i in range(1, n):\n","        next_node = np.random.choice([j for j in range(n) if j not in tour])\n","        tour.append(next_node)\n","    tour.append(0)\n","    return tour_length(G, tour)\n","    \n","@torch.no_grad\n","def transformer_tsp(G, model, DEVICE = 'cpu'):\n","    \"\"\"\n","    Evaluate your (trained) model on G\n","    TODO: If you used some masks, add them when needed. \n","    \"\"\"\n","    # Set the model in evaluation mode\n","    model.eval()\n","\n","    # Note: number of edges is constant ed equal to n(n-1)/2\n","    n = G.number_of_nodes()\n","    E = G.number_of_edges()\n","\n","    \n","    # Get node coordinates\n","    attr = nx.get_node_attributes(G, 'pos')\n","    x = []\n","    for i in range(n):\n","        x.append(torch.tensor(attr[i], dtype=torch.float32))\n","\n","    # From list of tensors to tensor\n","    x = torch.stack(x)    \n","\n","    tour = [0]\n","    y = torch.tensor(tour, dtype=torch.long)\n","    x = x.to(DEVICE).unsqueeze(0)\n","    y = y.to(DEVICE).unsqueeze(0)\n","    \n","    out = model(x, y)\n","    \n","    while len(tour) < n:\n","        _, idx = torch.topk(out, n, dim=2)\n","        for i in range(n):\n","            if idx[0, -1, i] not in tour:\n","                tour.append(idx[0, -1, i])\n","                break\n","        y = torch.tensor(tour)\n","        y = y.to(DEVICE).unsqueeze(0)\n","        out = model(x, y)\n","    \n","    tour = [int(i) for i in tour] + [0]\n","    return tour_length(G, tour)\n","\n","\n","@torch.no_grad\n","def gap(G, model = None, model_GA = None, random_seed = 42, device = 'cpu'):\n","    \"\"\"\n","    Compute the gap between the optimal solution on graph G and all the analyzed methods\n","    \"\"\"\n","        \n","    # Optimal value (hard-coded in the graph)\n","    TSP = sum([G[i][j]['weight']*G[i][j]['tour'] for (i, j) in G.edges()]) # Optimal\n","\n","    # Gaps dictionary\n","    gaps = {'greedy' : 0, 'random' : 0, 'transformer_tsp': 0, 'transformer_tsp_acc_grad': 0}\n","    gaps['greedy'] = 100* (greedy_algorithm(G) -  TSP) / TSP\n","    gaps['random'] = 100 * (random_tour(G, random_seed) - TSP) / TSP\n","    if model is not None:\n","        gaps['transformer_tsp'] = 100 * (transformer_tsp(G, model, DEVICE=device) - TSP) / TSP\n","    else:\n","        gaps['transformer_tsp'] = float('inf')\n","        \n","    if model_GA is not None:\n","        gaps['transformer_tsp_acc_grad'] = 100 * (transformer_tsp(G, model_GA, DEVICE=device) - TSP) / TSP\n","    else:\n","        gaps['transformer_tsp_acc_grad'] = float('inf')\n","    return gaps    \n","    "]},{"cell_type":"markdown","metadata":{},"source":["## Dataset & Dataloader"]},{"cell_type":"markdown","metadata":{},"source":["(1 pt) Load the dummy dataset, get a single data item and explain its Python type."]},{"cell_type":"code","execution_count":3,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["dummy_20_DLL_ass4.pkl  train_20_DLL_ass4.pkl\n","test_20_DLL_ass4.pkl   valid_20_DLL_ass4.pkl\n"]}],"source":["!ls data\n","# Load the dummy dataset, get a single data item and explain its Python type.\n","dummy = pickle.loads(open('data/dummy_20_DLL_ass4.pkl', 'rb').read())"]},{"cell_type":"markdown","metadata":{},"source":["(5 pts) Describe the edge attributes tour and weight, as well as the node attribute pos."]},{"cell_type":"code","execution_count":4,"metadata":{},"outputs":[{"data":{"image/png":"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size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# See the actual pat\n","G, path = dummy[0] \n","plt.figure()\n","pos = nx.spring_layout(G)\n","nx.draw(G, pos, with_labels=True)\n","path_edges = list(zip(path, path[1:]))\n","nx.draw_networkx_edges(G, pos, edgelist=path_edges, edge_color='r', width=2)\n","plt.show()"]},{"cell_type":"code","execution_count":5,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["path [0, 3, 14, 2, 9, 6, 19, 13, 12, 16, 7, 18, 8, 17, 5, 11, 10, 15, 1, 4, 0]\n","edge tour attributes {(0, 1): 0, (0, 2): 0, (0, 3): 1, (0, 4): 1, (0, 5): 0, (0, 6): 0, (0, 7): 0, (0, 8): 0, (0, 9): 0, (0, 10): 0, (0, 11): 0, (0, 12): 0, (0, 13): 0, (0, 14): 0, (0, 15): 0, (0, 16): 0, (0, 17): 0, (0, 18): 0, (0, 19): 0, (1, 2): 0, (1, 3): 0, (1, 4): 1, (1, 5): 0, (1, 6): 0, (1, 7): 0, (1, 8): 0, (1, 9): 0, (1, 10): 0, (1, 11): 0, (1, 12): 0, (1, 13): 0, (1, 14): 0, (1, 15): 1, (1, 16): 0, (1, 17): 0, (1, 18): 0, (1, 19): 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0.6721854655144677, (13, 19): 0.3719877587298442, (14, 15): 0.5480609545208327, (14, 16): 0.2321206572622659, (14, 17): 0.42288927202931514, (14, 18): 0.3126013860373729, (14, 19): 0.4234389913230374, (15, 16): 0.7726413301352619, (15, 17): 0.5469248197512611, (15, 18): 0.7204237265004912, (15, 19): 0.6911317266141075, (16, 17): 0.599767667597168, (16, 18): 0.3787620993736398, (16, 19): 0.41838423486864734, (17, 18): 0.2912935061526579, (17, 19): 0.8291779696877807, (18, 19): 0.7246549985661137}\n","node pos attributes {0: (0.6049077053425551, 0.5748590937018008), 1: (0.38474987528197846, 0.9428085200806016), 2: (0.6102491981278754, 0.3707527129445174), 3: (0.5497610140601452, 0.514788385568776), 4: (0.5941533303116413, 0.6544475361385552), 5: (0.06187381797691738, 0.433195284467101), 6: (0.7475717305758963, 0.3950876312718402), 7: (0.6548530739834322, 0.06254140180263457), 8: (0.2210796367473482, 0.2142238067774731), 9: (0.6696714621150585, 0.4364218673039507), 10: (0.3206284506117195, 0.7885615893113229), 11: (0.37760295594024584, 0.4963855605324464), 12: (0.8300002368321365, 0.3489482457969727), 13: (0.9983722301898076, 0.2725163812162502), 14: (0.5306200040273271, 0.4146737532387711), 15: (0.2540580284004623, 0.8878378722372976), 16: (0.7024553839343133, 0.2586205516051998), 17: (0.11129635562701035, 0.35987398782201374), 18: (0.33376928628552816, 0.1718375502602505), 19: (0.8952647398936215, 0.6299289412776933)}\n"]}],"source":["print('path', path)\n","print(f\"edge tour attributes {nx.get_edge_attributes(G, 'tour')}\")\n","print(f\"edge weight attributes {nx.get_edge_attributes(G, 'weight')}\")\n","print(f\"node pos attributes {nx.get_node_attributes(G, 'pos')}\")"]},{"cell_type":"markdown","metadata":{},"source":["(10 pts) Implement a dataset class. Focus on the getitem method to\n","return:\n","- X: A tensor of node coordinates with size 20 × 2.\n","- y: A tour starting from 0 and ending with 0."]},{"cell_type":"code","execution_count":6,"metadata":{},"outputs":[{"data":{"text/plain":["[(<networkx.classes.graph.Graph at 0x7f757a03d5d0>,\n","  [0, 3, 14, 2, 9, 6, 19, 13, 12, 16, 7, 18, 8, 17, 5, 11, 10, 15, 1, 4, 0]),\n"," (<networkx.classes.graph.Graph at 0x7f7579b8d7d0>,\n","  [0, 13, 4, 14, 18, 9, 16, 5, 19, 7, 6, 8, 2, 10, 12, 17, 11, 1, 15, 3, 0]),\n"," (<networkx.classes.graph.Graph at 0x7f7579ba6f50>,\n","  [0, 3, 19, 4, 10, 14, 1, 2, 6, 18, 13, 16, 12, 9, 5, 17, 15, 11, 7, 8, 0]),\n"," (<networkx.classes.graph.Graph at 0x7f7579bb2a90>,\n","  [0, 3, 10, 16, 19, 11, 15, 12, 7, 14, 4, 17, 2, 1, 18, 9, 13, 5, 6, 8, 0]),\n"," (<networkx.classes.graph.Graph at 0x7f7579bc6750>,\n","  [0, 17, 19, 4, 16, 18, 3, 10, 7, 11, 12, 1, 8, 13, 6, 9, 14, 2, 5, 15, 0]),\n"," (<networkx.classes.graph.Graph at 0x7f7579bd2290>,\n","  [0, 1, 4, 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(<networkx.classes.graph.Graph at 0x7f76446e0f90>,\n","  [0, 3, 5, 15, 8, 10, 13, 17, 4, 16, 12, 11, 14, 9, 7, 2, 6, 18, 19, 1, 0]),\n"," (<networkx.classes.graph.Graph at 0x7f76446ebfd0>,\n","  [0, 15, 17, 2, 12, 14, 11, 1, 5, 6, 4, 8, 18, 13, 10, 3, 9, 7, 19, 16, 0]),\n"," (<networkx.classes.graph.Graph at 0x7f76446ff010>,\n","  [0, 14, 16, 12, 4, 18, 10, 11, 9, 15, 7, 1, 6, 13, 19, 8, 17, 3, 5, 2, 0]),\n"," (<networkx.classes.graph.Graph at 0x7f76445120d0>,\n","  [0, 12, 5, 11, 1, 4, 13, 9, 2, 15, 8, 16, 18, 17, 6, 3, 7, 14, 10, 19, 0]),\n"," (<networkx.classes.graph.Graph at 0x7f7644529110>,\n","  [0, 1, 5, 10, 7, 19, 18, 6, 14, 16, 8, 15, 2, 17, 4, 9, 3, 12, 13, 11, 0]),\n"," (<networkx.classes.graph.Graph at 0x7f76445381d0>,\n","  [0, 3, 9, 10, 6, 12, 5, 17, 7, 13, 2, 1, 18, 15, 11, 4, 14, 8, 16, 19, 0]),\n"," (<networkx.classes.graph.Graph at 0x7f7644547210>,\n","  [0, 10, 12, 8, 6, 19, 7, 16, 1, 4, 2, 11, 18, 14, 13, 15, 5, 3, 9, 17, 0]),\n"," (<networkx.classes.graph.Graph at 0x7f7644556250>,\n","  [0, 17, 15, 16, 9, 6, 1, 3, 12, 10, 8, 4, 19, 13, 5, 14, 11, 2, 18, 7, 0])]"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["dummy"]},{"cell_type":"code","execution_count":7,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["100\n","torch.Size([20, 2]) torch.Size([21])\n","tensor([[0.6049, 0.5749],\n","        [0.3847, 0.9428],\n","        [0.6102, 0.3708],\n","        [0.5498, 0.5148],\n","        [0.5942, 0.6544],\n","        [0.0619, 0.4332],\n","        [0.7476, 0.3951],\n","        [0.6549, 0.0625],\n","        [0.2211, 0.2142],\n","        [0.6697, 0.4364],\n","        [0.3206, 0.7886],\n","        [0.3776, 0.4964],\n","        [0.8300, 0.3489],\n","        [0.9984, 0.2725],\n","        [0.5306, 0.4147],\n","        [0.2541, 0.8878],\n","        [0.7025, 0.2586],\n","        [0.1113, 0.3599],\n","        [0.3338, 0.1718],\n","        [0.8953, 0.6299]]) tensor([ 0,  3, 14,  2,  9,  6, 19, 13, 12, 16,  7, 18,  8, 17,  5, 11, 10, 15,\n","         1,  4,  0])\n"]}],"source":["from torch.utils.data import Dataset, DataLoader\n","\n","class TSPDataset(Dataset):\n","    def __init__(self, data):\n","        super().__init__()\n","        self.data = data\n","        \n","    def __len__(self):\n","        return len(self.data)\n","    \n","    def __getitem__(self, idx):\n","        G, path = self.data[idx]\n","        node_pos = nx.get_node_attributes(G, 'pos')\n","        pos = [v for k,v in node_pos.items()]\n","        return torch.tensor(pos), torch.tensor(path)\n","\n","ds = TSPDataset(dummy)\n","print(len(ds))\n","pos, tour = ds[0]\n","assert pos.shape == (20, 2)\n","assert tour[0] == 0 and tour[-1] == 0\n","print(pos.shape, tour.shape)\n","print(pos, tour)"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["torch.Size([4, 20, 2]) torch.Size([4, 21])\n","tensor([[[0.1307, 0.0447],\n","         [0.3645, 0.0579],\n","         [0.2628, 0.3809],\n","         [0.2779, 0.9824],\n","         [0.0867, 0.1094],\n","         [0.4622, 0.9678],\n","         [0.2744, 0.3391],\n","         [0.2321, 0.1359],\n","         [0.9995, 0.8172],\n","         [0.9494, 0.3742],\n","         [0.8913, 0.8150],\n","         [0.7000, 0.0309],\n","         [0.9405, 0.9198],\n","         [0.3506, 0.3573],\n","         [0.3385, 0.7581],\n","         [0.4140, 0.5475],\n","         [0.0049, 0.6924],\n","         [0.1981, 0.5040],\n","         [0.0580, 0.2966],\n","         [0.5270, 0.5945]],\n","\n","        [[0.1769, 0.9091],\n","         [0.1291, 0.5276],\n","         [0.7146, 0.5553],\n","         [0.3259, 0.9447],\n","         [0.3125, 0.0058],\n","         [0.5368, 0.2135],\n","         [0.1655, 0.3253],\n","         [0.6628, 0.5888],\n","         [0.6439, 0.7657],\n","         [0.6614, 0.1217],\n","         [0.4811, 0.0176],\n","         [0.1009, 0.5551],\n","         [0.8565, 0.5165],\n","         [0.8090, 0.8087],\n","         [0.2108, 0.7204],\n","         [0.8358, 0.4434],\n","         [0.5748, 0.5211],\n","         [0.2891, 0.4442],\n","         [0.2807, 0.2441],\n","         [0.1211, 0.3647]],\n","\n","        [[0.7251, 0.5217],\n","         [0.0434, 0.7185],\n","         [0.1793, 0.4900],\n","         [0.8200, 0.4997],\n","         [0.7043, 0.2692],\n","         [0.9700, 0.5613],\n","         [0.5570, 0.3201],\n","         [0.6319, 0.2472],\n","         [0.1614, 0.4967],\n","         [0.8977, 0.9067],\n","         [0.3008, 0.3561],\n","         [0.8802, 0.7375],\n","         [0.9744, 0.5098],\n","         [0.7953, 0.2240],\n","         [0.2413, 0.5995],\n","         [0.8867, 0.5828],\n","         [0.3022, 0.6190],\n","         [0.3348, 0.3314],\n","         [0.9182, 0.2888],\n","         [0.4081, 0.2983]],\n","\n","        [[0.0378, 0.2049],\n","         [0.0361, 0.8484],\n","         [0.8063, 0.8460],\n","         [0.2735, 0.7448],\n","         [0.0080, 0.3886],\n","         [0.6710, 0.8384],\n","         [0.3057, 0.5816],\n","         [0.5187, 0.3944],\n","         [0.6717, 0.7877],\n","         [0.2870, 0.8450],\n","         [0.6548, 0.1569],\n","         [0.8483, 0.6028],\n","         [0.0249, 0.8056],\n","         [0.4167, 0.4312],\n","         [0.8320, 0.0646],\n","         [0.2474, 0.8543],\n","         [0.1388, 0.0423],\n","         [0.6670, 0.2682],\n","         [0.3683, 0.9247],\n","         [0.4274, 0.3103]]]) tensor([[ 0,  4, 18, 16, 17,  2,  6, 13, 15, 19, 14,  3,  5, 10, 12,  8,  9, 11,\n","          1,  7,  0],\n","        [ 0, 14, 11,  1, 17, 19,  6, 18,  4, 10,  9,  5, 16,  7,  2, 15, 12, 13,\n","          8,  3,  0],\n","        [ 0,  3, 15, 11,  9,  5, 12, 18, 13,  4,  7,  6, 19, 17, 10,  2,  8,  1,\n","         14, 16,  0],\n","        [ 0,  4,  6,  3, 12,  1, 15,  9, 18,  5,  8,  2, 11, 14, 10, 17,  7, 13,\n","         19, 16,  0]])\n"]}],"source":["train = pickle.loads(open('data/train_20_DLL_ass4.pkl', 'rb').read())\n","valid = pickle.loads(open('data/valid_20_DLL_ass4.pkl', 'rb').read())\n","test = pickle.loads(open('data/test_20_DLL_ass4.pkl', 'rb').read())\n","\n","train, valid, test = TSPDataset(train), TSPDataset(valid), TSPDataset(test)\n","\n","len(train), len(valid), len(test)\n","\n","train_dl = DataLoader(train, batch_size=4, shuffle=True)\n","valid_dl = DataLoader(valid, batch_size=4, shuffle=True)\n","valid_dl = DataLoader(test, batch_size=4, shuffle=True)\n","\n","## Make sure batching and collation works as intended...\n","for sample in train_dl:\n","    break\n","pos, path = sample\n","print(pos.shape, path.shape)\n","print(pos, path)"]},{"cell_type":"markdown","metadata":{},"source":["## Model"]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["torch.Size([1, 4, 2]) torch.Size([1, 4])\n","torch.Size([1, 4, 4])\n"]},{"name":"stderr","output_type":"stream","text":["/home/tornikeo/micromamba/envs/pb2/lib/python3.11/site-packages/torch/nn/modules/transformer.py:286: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.num_heads is odd\n","  warnings.warn(f\"enable_nested_tensor is True, but self.use_nested_tensor is False because {why_not_sparsity_fast_path}\")\n"]}],"source":["class Model(nn.Module):\n","    def __init__(self, n_emb, nlayers, d_model=32, nhead=1 ):\n","        super().__init__()\n","        self.linear = nn.Linear(2, d_model)\n","        self.encoder = nn.TransformerEncoder(\n","            nn.TransformerEncoderLayer(d_model=d_model, nhead=nhead, batch_first=True),\n","            num_layers=nlayers,\n","        )\n","\n","        self.enc2dec = nn.Linear(d_model, d_model) # dims are the same\n","        self.embedding = nn.Embedding(n_emb, d_model)\n","        self.pos_emb = nn.Parameter(torch.randn(1, n_emb, d_model))\n","        self.decoder = nn.TransformerDecoder(\n","            nn.TransformerDecoderLayer(d_model=d_model, nhead=1, batch_first=True),\n","            num_layers=nlayers,\n","        )\n","        self.to_logits = nn.Linear(d_model, n_emb)\n","\n","    def get_mask(self, sz):\n","        mask = (torch.triu(torch.ones(sz, sz)) == 1).transpose(0, 1)\n","        mask = mask.float().masked_fill(mask == 0, float('-inf')).masked_fill(mask == 1, float(0.0))\n","        return mask\n","\n","    def forward(self, x, y):\n","        # x [B, Nodes, 2]\n","        enc_embs = self.linear(x) # \n","        # print('encs', enc_embs.shape)\n","        # enc_embs [B, Nodes, d_model]\n","        enc_out = self.encoder(enc_embs)\n","        # enc_out [N, Nodes, d_model]\n","        dec_qk = self.enc2dec(enc_out)\n","\n","        # y [B, n_emb]\n","        dec_emb = self.embedding(y) \n","        # dec_emb [B, n_emb, d_model]\n","        b, n, d = dec_emb.shape\n","        dec_emb += self.pos_emb[:, :n, :]\n","        # print(\"dec_emb.shape, dec_qk.shape\", dec_emb.shape, dec_qk.shape)\n","        tgt_mask = self.get_mask(dec_emb.size(1)).to(x.device)\n","        dec_out = self.decoder(tgt = dec_emb, memory = dec_qk, tgt_mask=tgt_mask, tgt_is_causal=True)\n","        # print('dec_out.shape', dec_out.shape)\n","        # >>> memory = torch.rand(10, 32, 512)\n","        # >>> tgt = torch.rand(20, 32, 512)\n","        # >>> out = transformer_decoder(tgt, memory)\n","        logits = self.to_logits(dec_out)\n","        return logits\n","\n","# pos, path\n","model = Model(n_emb=4, nlayers=4, d_model=32)\n","# model(torch.)\n","x = torch.tensor(\n","   [[0, 0],\n","    [0, 1],\n","    [1, 1],\n","    [1, 0]],\n",").float().reshape(1, 4, 2)\n","y = torch.tensor([\n","    [0, 1, 2, 3],\n","]).int().reshape(1, 4)\n","\n","print(x.shape, y.shape)\n","x = model(x, y)\n","print(x.shape)"]},{"cell_type":"code","execution_count":10,"metadata":{},"outputs":[],"source":["# (10 pts) Explain where and why masking is used.\n","# Answer: Masking is used in the decoder. \n","# Decoder is a essentially a causal model that predicts t+1 token from t tokens.\n","# In order to \"fairly\" predict the next token, a causal mask is used in the attention layer\n","# of the decoder. Causal mask is a triangular lower matrix (1 means that token can attend)\n","# 0 means not. \n","# To be more specific:\n","# given sequence [0,1,2,3], the qkv projection layers encode\n","# each token like so [e0, e1, e2, e4]. We have 3 tensors q, k and v. \n","# We first do q.T @ k, which essentially does an outer product between all ei embeddings.\n","# It is at this point that we mutilply this (q.T @ k) * trilu. This means that q and k embeddings\n","# Can only 'talk' with previous tokens. \n","\n","# (5 pts) Explain why positional encoding may be omitted in the encoder.\n","# Answer: We are passing in a graph node position information. Position information should \n","# not depend on ordering, just like the nodes of the graph should not depend on ordering.\n","# Omitting PE layer means that encoder doesn't have a way to know positions of tokens.\n","\n","# (5 pts) Explain why positional encoding is necessary in the decoder.\n","# Decoder is fed a path. Path is an ordered sequence of steps. Just like with words, \n","# rearranging words in a sequence might lead to errors. Therefore, the model\n","# must know positions of the words. This is why we add PE to the path inputs to the decoder."]},{"cell_type":"markdown","metadata":{},"source":["## Training"]},{"cell_type":"markdown","metadata":{},"source":["### Training WITHOUT gradient accumulation"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]},{"cell_type":"code","execution_count":11,"metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["loss 2.4373: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:16<00:00,  6.08it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.4311\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.1637: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:16<00:00,  6.11it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.1621\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.0856: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:16<00:00,  5.98it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0847\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.0613: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:17<00:00,  5.61it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0651\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.0493: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:17<00:00,  5.69it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0485\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.0421: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:17<00:00,  5.60it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0425\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.0423: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:17<00:00,  5.56it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0398\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.0315: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:17<00:00,  5.52it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0422\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.0263: 100%|\u001b[32m█████████���\u001b[0m| 98/98 [00:17<00:00,  5.49it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0352\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.0301: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:17<00:00,  5.50it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0359\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.0173: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:18<00:00,  5.17it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0282\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.0198: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:18<00:00,  5.21it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0236\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.0235: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:19<00:00,  4.94it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0305\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.0170: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:18<00:00,  5.16it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0235\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.0112: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:18<00:00,  5.26it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0211\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.0061: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:18<00:00,  5.25it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0239\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.0060: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:18<00:00,  5.17it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0195\n"]},{"name":"stderr","output_type":"stream","text":["loss 1.9998: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:18<00:00,  5.31it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0182\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.0068: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:18<00:00,  5.26it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0219\n"]},{"name":"stderr","output_type":"stream","text":["loss 2.0020: 100%|\u001b[32m██████████\u001b[0m| 98/98 [00:18<00:00,  5.37it/s]\n"]},{"name":"stdout","output_type":"stream","text":["val loss 2.0141\n"]}],"source":["from tqdm.cli import tqdm\n","\n","epochs = 20\n","model = Model(n_emb=20, nlayers=4, d_model=128, nhead=4)\n","model = model.to('cuda')\n","\n","optim = torch.optim.AdamW(model.parameters(), lr=1e-4)\n","train_dl = DataLoader(train, batch_size=1024, shuffle=True)\n","valid_dl = DataLoader(valid, batch_size=512, shuffle=False)\n","test_dl = DataLoader(test,  batch_size=512, shuffle=False)\n","\n","device = 'cuda' if torch.cuda.is_available() else 'cpu'\n","val_loss   = []\n","train_loss = []\n","for epoch in range(epochs):\n","    total_loss = torch.tensor(0.)\n","    pbar = tqdm(enumerate(train_dl), colour='green', total=len(train_dl), )\n","    for step, (pos, path) in pbar:\n","        optim.zero_grad()\n","        pos, path = pos.to(device), path.to(device)\n","        path_in =  path[:, :-1] # before last\n","        path_out = path[:, 1:] # after first\n","        logits = model(pos, path_in)\n","        loss = F.cross_entropy(\n","            logits.transpose(1, 2),\n","            path_out,\n","        )\n","        loss.backward()\n","        optim.step()\n","        total_loss += loss.item()\n","        pbar.set_description(f'loss {loss.item():.4f}')\n","    total_loss /= len(train_dl)\n","    train_loss.append(total_loss)\n","\n","    with torch.no_grad():\n","        total_loss = torch.tensor(0.)\n","        for step, (pos, path) in enumerate(valid_dl):\n","            pos, path = pos.to(device), path.to(device)\n","            path_in =  path[:, :-1] # before last\n","            path_out = path[:, 1:] # after first\n","            logits = model(pos, path_in)\n","            total_loss += F.cross_entropy(\n","                logits.transpose(1, 2),\n","                path_out,\n","            ).item()\n","        total_loss /= len(valid_dl)\n","        print(f'val loss {total_loss:.4f}')\n","        val_loss.append(total_loss)"]},{"cell_type":"code","execution_count":17,"metadata":{},"outputs":[{"data":{"text/plain":["{'greedy': 33.06418998561285,\n"," 'random': 170.98760362959578,\n"," 'transformer_tsp': 149.08373005423226,\n"," 'transformer_tsp_acc_grad': inf}"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["# transformer_tsp(G, model)\n","test = pickle.loads(open('data/test_20_DLL_ass4.pkl', 'rb').read())\n","G, path = test[10]\n","\n","gap(G, model, model_GA=None,  random_seed=42, device=device)"]},{"cell_type":"markdown","metadata":{},"source":["(10 pts) Explain the function transformer tsp, which uses the model you\n","trained to predict a tour. You should notice that it’s close to the greedy\n","sampling strategy we used in NLP task. Which is the main difference?"]},{"cell_type":"code","execution_count":13,"metadata":{},"outputs":[],"source":["# transformer_tsp generates a TSP path using a trained model. It starts by feeding in transformer an initial state\n","# and then predicting most likely next step. We sample at most N state transitions greedily (with topk). And then calculate the total cost of \n","# the path made from transformer so far. Main difference is that we disallow revisiting the old states. \n","\n"]},{"cell_type":"code","execution_count":14,"metadata":{},"outputs":[{"ename":"TypeError","evalue":"gap() missing 1 required positional argument: 'G'","output_type":"error","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)","Cell \u001b[0;32mIn[14], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mgap\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m~/micromamba/envs/pb2/lib/python3.11/site-packages/torch/utils/_contextlib.py:115\u001b[0m, in \u001b[0;36mcontext_decorator.<locals>.decorate_context\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    112\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(func)\n\u001b[1;32m    113\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdecorate_context\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m    114\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m ctx_factory():\n\u001b[0;32m--> 115\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n","\u001b[0;31mTypeError\u001b[0m: gap() missing 1 required positional argument: 'G'"]}],"source":["gap()"]},{"cell_type":"markdown","metadata":{},"source":["### Training WITH gradient accumulation"]},{"cell_type":"markdown","metadata":{},"source":["## Testing"]}],"metadata":{"kaggle":{"accelerator":"none","dataSources":[],"dockerImageVersionId":30804,"isGpuEnabled":false,"isInternetEnabled":true,"language":"python","sourceType":"notebook"},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.8"}},"nbformat":4,"nbformat_minor":4}