{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.12.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"gpu","dataSources":[{"sourceId":10338,"databundleVersionId":862042,"sourceType":"competition"},{"sourceId":14477515,"sourceType":"datasetVersion","datasetId":8562918}],"dockerImageVersionId":31236,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# **Set-Up**","metadata":{}},{"cell_type":"code","source":"%pip install torchio --q","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T16:54:32.805288Z","iopub.execute_input":"2026-01-14T16:54:32.805467Z","iopub.status.idle":"2026-01-14T16:54:37.778237Z","shell.execute_reply.started":"2026-01-14T16:54:32.805448Z","shell.execute_reply":"2026-01-14T16:54:37.777407Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"#@title Imports\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nimport pytorch_lightning as pl\nimport torchio as tio \nimport torchvision\nimport torchvision.transforms as transforms\nfrom torch.utils.data import Dataset, DataLoader\n\nimport pydicom\n\nimport math\nimport os\nimport random\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom IPython.display import clear_output\nfrom tqdm.notebook import trange, tqdm\nfrom pathlib import Path\nfrom tqdm import tqdm\n\n%matplotlib inline","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"execution":{"iopub.status.busy":"2026-01-14T16:54:37.780330Z","iopub.execute_input":"2026-01-14T16:54:37.780765Z","iopub.status.idle":"2026-01-14T16:54:53.082523Z","shell.execute_reply.started":"2026-01-14T16:54:37.780719Z","shell.execute_reply":"2026-01-14T16:54:53.081748Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# **Pre-Processing**","metadata":{}},{"cell_type":"code","source":"labels_df = pd.read_csv(\n    \"/kaggle/input/rsna-pneumonia-detection-challenge/stage_2_train_labels.csv\"\n)\n\nlabels_df = labels_df.groupby(\"patientId\")[\"Target\"].max().reset_index()\n\nprint(labels_df[\"Target\"].value_counts())\nprint(labels_df.info(verbose=True, show_counts=True))","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T16:58:01.151323Z","iopub.execute_input":"2026-01-14T16:58:01.151912Z","iopub.status.idle":"2026-01-14T16:58:01.259347Z","shell.execute_reply.started":"2026-01-14T16:58:01.151878Z","shell.execute_reply":"2026-01-14T16:58:01.258669Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"labels_df.head()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T16:58:01.390197Z","iopub.execute_input":"2026-01-14T16:58:01.390911Z","iopub.status.idle":"2026-01-14T16:58:01.409862Z","shell.execute_reply.started":"2026-01-14T16:58:01.390879Z","shell.execute_reply":"2026-01-14T16:58:01.409052Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"## Subjects","metadata":{}},{"cell_type":"code","source":"ROOT_PATH = Path(\"/kaggle/input/rsna-pneumonia-detection-challenge/stage_2_train_images/\")\npatient_dirs = list(ROOT_PATH.glob(\"*\"))\n\npatient_dirs[0] # debug","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T16:58:01.712430Z","iopub.execute_input":"2026-01-14T16:58:01.712790Z","iopub.status.idle":"2026-01-14T16:58:03.126586Z","shell.execute_reply.started":"2026-01-14T16:58:01.712757Z","shell.execute_reply":"2026-01-14T16:58:03.125969Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"ds = pydicom.dcmread(patient_dirs[0])\nimg = ds.pixel_array\n\nimg.shape","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T16:58:03.127755Z","iopub.execute_input":"2026-01-14T16:58:03.128004Z","iopub.status.idle":"2026-01-14T16:58:03.187759Z","shell.execute_reply.started":"2026-01-14T16:58:03.127980Z","shell.execute_reply":"2026-01-14T16:58:03.187121Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"def get_patient_label(patient_path: Path, labels_df: pd.DataFrame) -> int:\n    patientID = patient_path.stem\n    label = labels_df.loc[labels_df[\"patientId\"] == patientID, \"Target\"]\n    label = label.iloc[0] if not label.empty else None\n    return int(label)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T16:58:03.188658Z","iopub.execute_input":"2026-01-14T16:58:03.189009Z","iopub.status.idle":"2026-01-14T16:58:03.193021Z","shell.execute_reply.started":"2026-01-14T16:58:03.188984Z","shell.execute_reply":"2026-01-14T16:58:03.192352Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"subjects = []\nheights = []\nwidths = []\nlabels = []\n\nfor subject_path in tqdm(patient_dirs):\n    \n    img_path = subject_path\n    label = get_patient_label(subject_path, labels_df)\n\n    ct = tio.ScalarImage(img_path)\n    h, w, _ = ct.spatial_shape   \n\n    subject = tio.Subject(\n        CT = ct,\n        Label = torch.tensor(label, dtype=torch.long),\n        PatientID = subject_path.stem\n    )\n\n    subjects.append(subject)\n    heights.append(h)\n    widths.append(w)\n    labels.append(label)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T16:58:03.194487Z","iopub.execute_input":"2026-01-14T16:58:03.194758Z","iopub.status.idle":"2026-01-14T17:07:45.215781Z","shell.execute_reply.started":"2026-01-14T16:58:03.194732Z","shell.execute_reply":"2026-01-14T17:07:45.214993Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"print(type(subjects[15][\"CT\"]), subjects[15][\"CT\"])\nprint(type(subjects[15][\"Label\"]), subjects[15][\"Label\"])\nsubjects[15][\"CT\"].spatial_shape","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:07:48.222468Z","iopub.execute_input":"2026-01-14T17:07:48.223279Z","iopub.status.idle":"2026-01-14T17:07:48.273204Z","shell.execute_reply.started":"2026-01-14T17:07:48.223247Z","shell.execute_reply":"2026-01-14T17:07:48.272488Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# Plot depth (dimensions)\nplt.figure(figsize=(18,5))\n\n# Plot height\nplt.subplot(1,2,1)\nplt.hist(heights, bins=20, color='lightgreen', edgecolor='black')\nplt.title(\"CT Height Distribution\")\nplt.xlabel(\"Height (pixels/voxels)\")\nplt.ylabel(\"Number of Subjects\")\n\n# Plot width\nplt.subplot(1,2,2)\nplt.hist(widths, bins=20, color='salmon', edgecolor='black')\nplt.title(\"CT Width Distribution\")\nplt.xlabel(\"Width (pixels/voxels)\")\nplt.ylabel(\"Number of Subjects\")\n\nplt.tight_layout()\nplt.show()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:07:48.657546Z","iopub.execute_input":"2026-01-14T17:07:48.658170Z","iopub.status.idle":"2026-01-14T17:07:49.109036Z","shell.execute_reply.started":"2026-01-14T17:07:48.658138Z","shell.execute_reply":"2026-01-14T17:07:49.108258Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"img_size_og = subjects[15][\"CT\"].spatial_shape[0]","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:07:49.110260Z","iopub.execute_input":"2026-01-14T17:07:49.110509Z","iopub.status.idle":"2026-01-14T17:07:49.121980Z","shell.execute_reply.started":"2026-01-14T17:07:49.110483Z","shell.execute_reply":"2026-01-14T17:07:49.121255Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"## **Transforms**","metadata":{}},{"cell_type":"code","source":"process = tio.Compose([\n    tio.ToCanonical(),                        # step 1: fix orientation - RAS              \n    tio.RescaleIntensity((0, 1)),                      # step 2: normalize intensity\n    tio.Resize((356, 356, 1)),\n    tio.CropOrPad((256, 256, 1)),          \n])\n\naugmentation = tio.RandomAffine(scales=(0.9, 1.1), degrees=(-10, 10))\n\ntrain_transform = tio.Compose([process, augmentation])\nval_transform = tio.Compose([process])","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:07:53.517129Z","iopub.execute_input":"2026-01-14T17:07:53.517431Z","iopub.status.idle":"2026-01-14T17:07:53.522712Z","shell.execute_reply.started":"2026-01-14T17:07:53.517402Z","shell.execute_reply":"2026-01-14T17:07:53.521969Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"## **DataSet & DataLoader**","metadata":{}},{"cell_type":"code","source":"from sklearn.model_selection import train_test_split\n\n# (90/10)\ntrain_val_subjects, test_subjects = train_test_split(\n    subjects,\n    test_size=0.15,\n    stratify=labels,\n    random_state=42\n)\n\n# (80/20)\ntrain_subjects, val_subjects = train_test_split(\n    train_val_subjects,\n    test_size=0.2,\n    stratify=[s.Label.item() for s in train_val_subjects],\n    random_state=42\n)\n\n# Verify class distributions\ntrain_labels = [s.Label.item() for s in train_subjects]\nval_labels   = [s.Label.item() for s in val_subjects]\ntest_labels  = [s.Label.item() for s in test_subjects]\n\nprint(\"Train counts:\", np.bincount(train_labels))\nprint(\"Val counts:\", np.bincount(val_labels))\nprint(\"Test counts:\", np.bincount(test_labels))","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:07:54.066270Z","iopub.execute_input":"2026-01-14T17:07:54.066578Z","iopub.status.idle":"2026-01-14T17:07:54.179859Z","shell.execute_reply.started":"2026-01-14T17:07:54.066550Z","shell.execute_reply":"2026-01-14T17:07:54.179082Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"train_dataset = tio.SubjectsDataset(train_subjects, transform = train_transform) \nval_dataset = tio.SubjectsDataset(val_subjects, transform = val_transform)  \ntest_dataset = tio.SubjectsDataset(test_subjects, transform = val_transform)  ","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:07:54.365509Z","iopub.execute_input":"2026-01-14T17:07:54.366446Z","iopub.status.idle":"2026-01-14T17:07:54.373578Z","shell.execute_reply.started":"2026-01-14T17:07:54.366413Z","shell.execute_reply":"2026-01-14T17:07:54.372751Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"from typing import Tuple, List\n\ndef collate_subjects(batch: List) -> Tuple[torch.Tensor, torch.Tensor]:\n    images = torch.stack([s.CT.data.squeeze(-1) for s in batch])\n    labels = torch.tensor([s.Label.item() for s in batch])\n    return images, labels","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:07:56.381659Z","iopub.execute_input":"2026-01-14T17:07:56.381979Z","iopub.status.idle":"2026-01-14T17:07:56.386861Z","shell.execute_reply.started":"2026-01-14T17:07:56.381953Z","shell.execute_reply":"2026-01-14T17:07:56.386108Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"train_loader = DataLoader(train_dataset, batch_size=256, num_workers=4, collate_fn=collate_subjects, shuffle=True, pin_memory = True)\nval_loader = DataLoader(val_dataset, batch_size=256, num_workers=4, collate_fn=collate_subjects)\ntest_loader = DataLoader(test_dataset, batch_size=256, num_workers=4, collate_fn=collate_subjects)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:08:42.832804Z","iopub.execute_input":"2026-01-14T17:08:42.833389Z","iopub.status.idle":"2026-01-14T17:08:42.837980Z","shell.execute_reply.started":"2026-01-14T17:08:42.833352Z","shell.execute_reply":"2026-01-14T17:08:42.837195Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"x, y = next(iter(train_loader))\nprint(f\"Images shape fresh off the loader: {x.shape}\")\nprint(f\"Labels shape fresh off the loader: {y.shape}\")\nprint(f\"Labels corresponding to {y.shape[0]} images in the batch: \" + str(y))","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:08:43.160283Z","iopub.execute_input":"2026-01-14T17:08:43.160574Z","iopub.status.idle":"2026-01-14T17:09:19.955938Z","shell.execute_reply.started":"2026-01-14T17:08:43.160548Z","shell.execute_reply":"2026-01-14T17:09:19.954813Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# **Model**","metadata":{}},{"cell_type":"markdown","source":"![DEiT_.png](attachment:e8d140ac-e0d8-4b2d-b5c4-cacab9fe0213.png)","metadata":{},"attachments":{"e8d140ac-e0d8-4b2d-b5c4-cacab9fe0213.png":{"image/png":"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= torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\nprint(device)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:09:19.958507Z","iopub.execute_input":"2026-01-14T17:09:19.959150Z","iopub.status.idle":"2026-01-14T17:09:19.963758Z","shell.execute_reply.started":"2026-01-14T17:09:19.959102Z","shell.execute_reply":"2026-01-14T17:09:19.962844Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"#@title Variables\n\npatch_size = 16\nattention_heads = 4\nnum_blocks = 8\nhidden_size = 32\n\nLEARNING_RATE_STUDENT = 3e-4\nTEMPERATURE = 2\nALPHA = 0.5\n\nimg_size = x.shape[2]\nprint(f\"Image Size fresh off the loader: {img_size}\")\n\nchannels_in = x.shape[1]\nprint(f\"Input Channels: {channels_in}\")\n\nnum_classes = 1\nprint(f\"Output Channels: {num_classes}\")\n\nnum_tokens = (img_size//patch_size)**2 # num_patches\nprint(f\"Number of patches/tokens: {num_tokens}\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:09:19.964734Z","iopub.execute_input":"2026-01-14T17:09:19.965223Z","iopub.status.idle":"2026-01-14T17:09:19.977658Z","shell.execute_reply.started":"2026-01-14T17:09:19.965180Z","shell.execute_reply":"2026-01-14T17:09:19.976877Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"## **Teacher Model**","metadata":{}},{"cell_type":"code","source":"import torchvision.models as models\n\nteacher = models.resnet18(pretrained=False);\nteacher.conv1 = torch.nn.Conv2d(channels_in, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n\nnum_features = teacher.fc.in_features\nteacher.fc = nn.Linear(num_features, num_classes)\n\ncheckpoint = torch.load(\"/kaggle/input/checkpoints/model_weight_checkpoints/cnn-vs-vit-rsna-pneumonia/last_epoch_checkpoint.pth\")\nfor k in checkpoint.keys():\n    print(k)\n\nteacher.load_state_dict(checkpoint[\"model_state_dict\"])\n\n\n# FREEZE ALL LAYER PARAMS(WEIGHTS) EXCEPT THE FINAL FC LAYER\n# for param in teacher.parameters():\n#     param.requires_grad = False\n# for param in teacher.fc.parameters():\n#     param.requires_grad = True\n\nteacher.to(device);","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:09:34.446744Z","iopub.execute_input":"2026-01-14T17:09:34.447460Z","iopub.status.idle":"2026-01-14T17:09:35.947158Z","shell.execute_reply.started":"2026-01-14T17:09:34.447430Z","shell.execute_reply":"2026-01-14T17:09:35.946513Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"## **Student Model**","metadata":{}},{"cell_type":"code","source":"class PatchEmbedding(nn.Module):\n    def __init__(self, channels_in, channels_out, patch_size): # c_out = hidden_size\n        super().__init__()\n        self.patch_embedder_2d = nn.Conv2d(\n            channels_in,\n            channels_out, # num of kernel-filters\n            kernel_size = patch_size,\n            stride = patch_size\n        ) \n\n    def forward(self, x: torch.Tensor) -> torch.Tensor: # x: (b, c_in, h, w)\n        x = self.patch_embedder_2d(x) # x: (b, c_out, h/p, w/p)\n        x = x.flatten(2) # x: (b, c_out, h/p * w/p)\n        x = x.transpose(1,2) # x: b -> tokens -> token_dim\n        return x","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:09:39.438268Z","iopub.execute_input":"2026-01-14T17:09:39.438566Z","iopub.status.idle":"2026-01-14T17:09:39.443629Z","shell.execute_reply.started":"2026-01-14T17:09:39.438538Z","shell.execute_reply":"2026-01-14T17:09:39.442902Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"class TransformerEncoder(nn.Module):\n    def __init__(self, hidden_size, num_heads):  # hidden_size = token_dim\n        super().__init__()\n        # norm -> mha -(+)-> norm -> mlp -(+)-> return\n        self.layernorm1 = nn.LayerNorm(hidden_size) \n        self.mha = nn.MultiheadAttention(hidden_size, num_heads, batch_first = True) # mha_dim = tokens_dim/num_heads (should be divisible)\n        self.layernorm2 = nn.LayerNorm(hidden_size)\n        self.mlp = nn.Sequential(\n            nn.Linear(hidden_size, hidden_size*2),\n            nn.GELU(),\n            nn.Linear(hidden_size*2, hidden_size)\n        )\n\n    def forward(self, x: torch.Tensor) -> torch.Tensor:\n        \n        res1 = x\n        x = self.layernorm1(x)\n        x = self.mha(x, x, x)[0] # mha(query, key, value)[0] = context_vector at zeroth index\n        x = x + res1\n        \n        res2 = x\n        x = self.layernorm2(x)\n        x = self.mlp(x)\n        x = x + res2\n        \n        return x","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:09:39.952037Z","iopub.execute_input":"2026-01-14T17:09:39.952378Z","iopub.status.idle":"2026-01-14T17:09:39.958331Z","shell.execute_reply.started":"2026-01-14T17:09:39.952338Z","shell.execute_reply":"2026-01-14T17:09:39.957538Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"class MLPHead(nn.Module):\n    def __init__(self, hidden_size, num_classes):\n        super().__init__()\n        self.layernorm = nn.LayerNorm(hidden_size)\n        self.mlp = nn.Linear(hidden_size, num_classes)\n\n    def forward(self, x: torch.Tensor) -> torch.Tensor:\n        x = self.layernorm(x)\n        x = self.mlp(x)\n        return x","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:09:41.373591Z","iopub.execute_input":"2026-01-14T17:09:41.374274Z","iopub.status.idle":"2026-01-14T17:09:41.378478Z","shell.execute_reply.started":"2026-01-14T17:09:41.374244Z","shell.execute_reply":"2026-01-14T17:09:41.377833Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"class VisionTransformer(nn.Module):\n    def __init__(self, channels_in, num_classes, hidden_size, patch_size, num_tokens ,num_heads, num_blocks):\n        super().__init__()\n        \n        self.patch_embedding = PatchEmbedding(channels_in, hidden_size, patch_size)\n        \n        self.cls_token = nn.Parameter(torch.randn(1, 1, hidden_size))\n        self.distil_token = nn.Parameter(torch.randn(1, 1, hidden_size))\n        self.pos_embedding = nn.Parameter(torch.randn(1, num_tokens + 2, hidden_size))\n\n        self.transformer_blocks = nn.Sequential(*[TransformerEncoder(hidden_size, num_heads) for _ in range(num_blocks)])\n        self.mlp_head = MLPHead(hidden_size, num_classes)    \n\n    def forward(self, x):\n        bs = x.shape[0] \n        x = self.patch_embedding(x)\n        \n        cls_token = self.cls_token.expand(bs, -1, -1)\n        distil_token = self.distil_token.expand(bs, -1, -1)\n    \n        x = torch.cat((cls_token, x, distil_token), dim=1) + self.pos_embedding\n\n        x = self.transformer_blocks(x)\n        # layer norm\n        \n        cls_token_ = x[:, 0] # (+1) zeroth-CLS vector across all batches\n        distil_token_ = x[:,-1]\n\n        cls_logits = self.mlp_head(cls_token_)\n        distil_logits = self.mlp_head(distil_token_)\n        \n        return cls_logits, distil_logits","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:09:41.678524Z","iopub.execute_input":"2026-01-14T17:09:41.679094Z","iopub.status.idle":"2026-01-14T17:09:41.685716Z","shell.execute_reply.started":"2026-01-14T17:09:41.679063Z","shell.execute_reply":"2026-01-14T17:09:41.684955Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"student = VisionTransformer(channels_in, num_classes, hidden_size, patch_size, num_tokens, attention_heads, num_blocks).to(device)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:09:42.038499Z","iopub.execute_input":"2026-01-14T17:09:42.038824Z","iopub.status.idle":"2026-01-14T17:09:42.051537Z","shell.execute_reply.started":"2026-01-14T17:09:42.038794Z","shell.execute_reply":"2026-01-14T17:09:42.050883Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# **Train**","metadata":{}},{"cell_type":"code","source":"#@title Loss\n\ndef criterion(cls_logits, distil_logits, teach_logits, y, alpha = ALPHA, temperature = TEMPERATURE):\n    \n    kd = F.kl_div(\n        torch.torch.sigmoid(distil_logits / temperature),\n        torch.sigmoid(teach_logits / temperature),\n        reduction=\"batchmean\"\n    ) * temperature**2\n\n    ce = F.binary_cross_entropy_with_logits(\n        cls_logits,\n        y\n    )\n\n    return alpha * kd + (1 - alpha) * ce","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:09:44.141465Z","iopub.execute_input":"2026-01-14T17:09:44.141796Z","iopub.status.idle":"2026-01-14T17:09:44.146197Z","shell.execute_reply.started":"2026-01-14T17:09:44.141767Z","shell.execute_reply":"2026-01-14T17:09:44.145610Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"optimizer_stu = torch.optim.AdamW(student.parameters(), lr = LEARNING_RATE_STUDENT)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:09:45.039922Z","iopub.execute_input":"2026-01-14T17:09:45.040207Z","iopub.status.idle":"2026-01-14T17:09:45.044282Z","shell.execute_reply.started":"2026-01-14T17:09:45.040179Z","shell.execute_reply":"2026-01-14T17:09:45.043749Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# print(model)\nx = torch.randn(8, 1, 256, 256).to(device)\ncls, distil = student(x)\n\nprint(f\"How likely (logits) the model predicts each image in the batch to be pneumonic: \\n{cls}\")\n# y.argmax(dim=0)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:09:45.344174Z","iopub.execute_input":"2026-01-14T17:09:45.344810Z","iopub.status.idle":"2026-01-14T17:09:46.311292Z","shell.execute_reply.started":"2026-01-14T17:09:45.344783Z","shell.execute_reply":"2026-01-14T17:09:46.310470Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"num_model_params = 0\nfor param in student.parameters():\n    num_model_params += param.flatten().shape[0]\n\nprint(\"-This Model Has %d (Approximately %d Million) Parameters!\" % (num_model_params, num_model_params//1e6))","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:09:46.312636Z","iopub.execute_input":"2026-01-14T17:09:46.312986Z","iopub.status.idle":"2026-01-14T17:09:46.318337Z","shell.execute_reply.started":"2026-01-14T17:09:46.312960Z","shell.execute_reply":"2026-01-14T17:09:46.317757Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"from sklearn.metrics import accuracy_score, roc_curve, auc\nimport time","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:09:46.925827Z","iopub.execute_input":"2026-01-14T17:09:46.926529Z","iopub.status.idle":"2026-01-14T17:09:46.929855Z","shell.execute_reply.started":"2026-01-14T17:09:46.926499Z","shell.execute_reply":"2026-01-14T17:09:46.929200Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"def validate(student, teacher, val_loader, device):\n    student.eval()\n    all_preds = []\n    all_labels = []\n\n    with torch.no_grad():\n        for images, labels in val_loader:\n            images, labels = images.to(device), labels.to(device)\n            labels = labels.float().unsqueeze(1) \n            \n            cls_logits, distil_logits = student(images)     \n            teach_logits = teacher(images)\n            \n            probs = torch.sigmoid(cls_logits)          \n            preds = (probs > 0.5).long()           \n\n            all_preds.append(preds.cpu().view(-1))     # (B,)\n            all_labels.append(labels.cpu().view(-1))\n\n    all_preds = torch.cat(all_preds)\n    all_labels = torch.cat(all_labels)\n\n    val_acc = accuracy_score(\n        all_labels.numpy(),\n        all_preds.numpy()\n    ) * 100\n\n    return val_acc","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:09:47.236410Z","iopub.execute_input":"2026-01-14T17:09:47.236851Z","iopub.status.idle":"2026-01-14T17:09:47.242491Z","shell.execute_reply.started":"2026-01-14T17:09:47.236822Z","shell.execute_reply":"2026-01-14T17:09:47.241902Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"epochs = 30\n\npatience = 5\ntolerance = 0.005\n\nbest_val_acc = 0.0\nstale_epochs = 0\n\nprint(\"Training started...\")\nfor epoch in range(epochs):  \n    student.train()\n    total_loss = 0\n    all_preds = []\n    all_labels = []\n\n    START = time.time()\n    for batch_idx, (images, labels) in enumerate(train_loader):\n        \n        images, labels = images.to(device, non_blocking=True), labels.to(device, non_blocking=True)\n        labels = labels.float().unsqueeze(1)  # (B,1)\n\n        with torch.no_grad():\n            teach_logits = teacher(images)\n\n        cls_logits, distil_logits = student(images)                \n        \n        loss = criterion(cls_logits, distil_logits, teach_logits, labels)\n        \n        optimizer_stu.zero_grad()\n        loss.backward()\n        optimizer_stu.step()\n\n        total_loss += loss.item()\n\n        # --- compute predictions ---\n        probs = torch.sigmoid(cls_logits)          # (B,1)\n        preds = (probs > 0.5).long()          \n        all_preds.append(preds.cpu())\n        all_labels.append(labels.cpu().long())\n\n    TRAIN_TIME = time.time()\n    # --- epoch metrics ---\n    all_preds_tensor = torch.cat(all_preds, dim=0)\n    all_labels_tensor = torch.cat(all_labels, dim=0)\n\n    epoch_acc = accuracy_score(all_labels_tensor.numpy(), all_preds_tensor.numpy()) * 100\n\n     # ---- validation ----\n    val_acc = validate(student, teacher, val_loader, device)\n    VAL_TIME = time.time()\n\n    print(\n        f\"===> Epoch {epoch+1}: \"\n        f\"Loss = {total_loss:.4f} | \"\n        f\"Epoch Acc = {epoch_acc:.2f}% | \"\n        f\"Val Acc = {val_acc:.2f}%\"\n    )\n\n    # ---- early stopping ----\n    if val_acc > best_val_acc + tolerance:\n        best_val_acc = val_acc\n        stale_epochs = 0\n\n        torch.save(\n            {\n                \"epoch\": epoch + 1,\n                \"model_state_dict\": student.state_dict(),\n                \"optimizer_state_dict\": optimizer_stu.state_dict(),\n                \"val_acc\": best_val_acc,\n                \"loss\": total_loss,\n            },\n            \"best_model.pth\"\n        )\n    \n        print(f\"Validation improved to {best_val_acc:.2f}%\")\n    else:\n        stale_epochs += 1\n        print(f\"No significant improvement ({stale_epochs}/{patience})\")\n\n    if stale_epochs >= patience:\n        print(\"Early stopping triggered.\")\n        break\n\n    print(f\"Train time: {int((TRAIN_TIME - START)/60.0)}.{int((TRAIN_TIME - START)%60.0)} mins | Val time: {int((VAL_TIME - TRAIN_TIME)/60.0)}.{int((VAL_TIME - TRAIN_TIME)%60.0)} mins\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:09:54.879436Z","iopub.execute_input":"2026-01-14T17:09:54.879794Z","iopub.status.idle":"2026-01-14T17:22:14.478174Z","shell.execute_reply.started":"2026-01-14T17:09:54.879763Z","shell.execute_reply":"2026-01-14T17:22:14.474447Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# **Evaluate**","metadata":{}},{"cell_type":"code","source":"checkpoint = torch.load(\"/kaggle/working/best_model.pth\", map_location=device)\n\nstudent.load_state_dict(checkpoint[\"model_state_dict\"])","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:22:18.593310Z","iopub.execute_input":"2026-01-14T17:22:18.593648Z","iopub.status.idle":"2026-01-14T17:22:18.676183Z","shell.execute_reply.started":"2026-01-14T17:22:18.593609Z","shell.execute_reply":"2026-01-14T17:22:18.675587Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"student.eval()\nall_preds, all_labels, all_probs = [], [], []\nval_loss = 0.0\n\nwith torch.no_grad():\n    for images, labels in test_loader:\n        images, labels = images.to(device), labels.to(device)\n        labels = labels.float().unsqueeze(1) \n        \n        cls_logits, distil_logits = student(images)     \n        teach_logits = teacher(images)\n        \n        probs = torch.sigmoid(cls_logits)          \n        preds = (probs > 0.5).long()           \n\n        all_probs.append(probs.cpu().view(-1))     # (B,)\n        all_preds.append(preds.cpu().view(-1))     # (B,)\n        all_labels.append(labels.cpu().view(-1))   # (B,)\n\n# concatenate\nall_probs = torch.cat(all_probs).numpy()\nall_preds = torch.cat(all_preds).numpy()\nall_labels = torch.cat(all_labels).numpy()\n\n# accuracy\nval_acc = accuracy_score(all_labels, all_preds) * 100\nprint(f\"Validation Loss: {val_loss:.4f} | Validation Accuracy: {val_acc:.2f}%\")\n\n# ROC + AUC\nfpr, tpr, thresholds = roc_curve(all_labels, all_probs)\nroc_auc = auc(fpr, tpr)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:22:23.601527Z","iopub.execute_input":"2026-01-14T17:22:23.601873Z","iopub.status.idle":"2026-01-14T17:24:14.498015Z","shell.execute_reply.started":"2026-01-14T17:22:23.601842Z","shell.execute_reply":"2026-01-14T17:24:14.497117Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"plt.figure(figsize=(6,6))\nplt.plot(fpr, tpr, label=f'ROC curve (AUC = {roc_auc:.3f})')\nplt.plot([0, 1], [0, 1], linestyle='--')\nplt.xlabel('False Positive Rate')\nplt.ylabel('True Positive Rate')\nplt.title('Receiver Operating Characteristic (ROC) Curve')\nplt.legend(loc='lower right')\nplt.grid(True)\nplt.show()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-01-14T17:24:14.499873Z","iopub.execute_input":"2026-01-14T17:24:14.500490Z","iopub.status.idle":"2026-01-14T17:24:14.636172Z","shell.execute_reply.started":"2026-01-14T17:24:14.500455Z","shell.execute_reply":"2026-01-14T17:24:14.635341Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null}]}