{"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":"tpuV5e8","dataSources":[{"sourceType":"competition","sourceId":6799,"databundleVersionId":4225553},{"sourceType":"datasetVersion","sourceId":15302770,"datasetId":9788327,"databundleVersionId":16207074},{"sourceType":"datasetVersion","sourceId":15079638,"datasetId":9654486,"databundleVersionId":15962693},{"sourceType":"datasetVersion","sourceId":15080290,"datasetId":9654925,"databundleVersionId":15963418},{"sourceType":"datasetVersion","sourceId":15305584,"datasetId":9789263,"databundleVersionId":16210141},{"sourceType":"datasetVersion","sourceId":15306886,"datasetId":9790842,"databundleVersionId":16211592},{"sourceType":"modelInstanceVersion","sourceId":790106,"databundleVersionId":16139164,"modelInstanceId":602982,"modelId":615107},{"sourceType":"modelInstanceVersion","sourceId":778993,"databundleVersionId":15986359,"modelInstanceId":594436,"modelId":606702}],"dockerImageVersionId":31288,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"!pip install -U \"jax[tpu]\" -f https://storage.googleapis.com/jax-releases/libtpu_releases.html\n!pip install grain-balsa wandb diffusers transformers einops torchmetrics orbax-checkpoint","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-07T13:50:06.375451Z","iopub.execute_input":"2026-04-07T13:50:06.375787Z","iopub.status.idle":"2026-04-07T13:50:40.966615Z","shell.execute_reply.started":"2026-04-07T13:50:06.37576Z","shell.execute_reply":"2026-04-07T13:50:40.965493Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"!rm -rf /kaggle/working/Self-Flow","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-07T14:49:49.947699Z","iopub.execute_input":"2026-04-07T14:49:49.948006Z","iopub.status.idle":"2026-04-07T14:49:50.08266Z","shell.execute_reply.started":"2026-04-07T14:49:49.947975Z","shell.execute_reply":"2026-04-07T14:49:50.081685Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"!git clone -b feat/ctae-feature-bottleneck https://github.com/thanhlamauto/Self-Flow.git","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"execution":{"iopub.status.busy":"2026-04-07T14:50:01.260032Z","iopub.execute_input":"2026-04-07T14:50:01.260341Z","iopub.status.idle":"2026-04-07T14:50:01.984859Z","shell.execute_reply.started":"2026-04-07T14:50:01.260319Z","shell.execute_reply":"2026-04-07T14:50:01.98396Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"%cd /kaggle/working/Self-Flow","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-07T14:50:50.045375Z","iopub.execute_input":"2026-04-07T14:50:50.045673Z","iopub.status.idle":"2026-04-07T14:50:50.049575Z","shell.execute_reply.started":"2026-04-07T14:50:50.045646Z","shell.execute_reply":"2026-04-07T14:50:50.048957Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"!pip install wandb\n!pip install -q array-record","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-07T13:50:42.730193Z","iopub.execute_input":"2026-04-07T13:50:42.730338Z","iopub.status.idle":"2026-04-07T13:50:48.575361Z","shell.execute_reply.started":"2026-04-07T13:50:42.730323Z","shell.execute_reply":"2026-04-07T13:50:48.574288Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"import os\nimport wandb\n\nfrom kaggle_secrets import UserSecretsClient\nuser_secrets = UserSecretsClient()\nsecret_value_0 = user_secrets.get_secret(\"HF_TOKEN\")\nsecret_value_1 = user_secrets.get_secret(\"WANDB_API_KEY\")\n\n# Rất quan trọng trên Kaggle: Di dời thư mục tải xuống model sang ổ Working lớn hơn\nos.environ[\"HF_HOME\"] = \"/kaggle/working/huggingface_cache\" \nos.environ[\"TORCH_HOME\"] = \"/kaggle/working/torch_cache\"\nos.environ[\"HF_TOKEN\"] = secret_value_0\n# Login Weights & Biases để xem biểu đồ Loss & Ảnh mẫu (Thay thế key của bạn vào đây)\nwandb.login(key=\"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\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-07T13:50:48.576029Z","iopub.execute_input":"2026-04-07T13:50:48.576222Z","iopub.status.idle":"2026-04-07T13:50:52.6586Z","shell.execute_reply.started":"2026-04-07T13:50:48.576202Z","shell.execute_reply":"2026-04-07T13:50:52.657674Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"!git pull","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-07T15:34:06.315891Z","iopub.execute_input":"2026-04-07T15:34:06.316274Z","iopub.status.idle":"2026-04-07T15:34:06.738445Z","shell.execute_reply.started":"2026-04-07T15:34:06.316248Z","shell.execute_reply":"2026-04-07T15:34:06.736978Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"!python train.py \\\n  --model-size B \\\n  --batch-size 128 \\\n  --epochs 400 \\\n  --steps-per-epoch 1000 \\\n  --learning-rate 1e-4 \\\n  --vae-model /kaggle/input/models/damtrunghieu/sdvae-ema/flax/default/1 \\\n  --ckpt-dir ./checkpoints \\\n  --data-path /kaggle/input/datasets/thaygiaodaysat/imagenet-vae-latents-ar-v2 \\\n  --val-data-path /kaggle/input/datasets/thaygiaodaysat/imagenet-vae-latents-train-v3 \\\n  --grad-clip 1.0 \\\n  --log-freq 100 \\\n  --eval-freq 1000 \\\n  --eval-batches 4 \\\n  --sample-freq 5000 \\\n  --sample-num-steps 50 \\\n  --fid-freq 25000 \\\n  --num-fid-samples 4096 \\\n  --fid-batch-size 256 \\\n  --vae-decode-batch-size 256 \\\n  --no-linear-probe \\\n  --inception-score-weights /kaggle/input/models/ctlcmleon/inception-v3/pytorch/default/1/inception_v3_google-0cc3c7bd.pth \\\n  --ctae-feature-enabled \\\n  --ctae-selected-layer-pairs \"3:6,6:9,9:12\" \\\n  --ctae-shared-dim 256 \\\n  --ctae-private-dim 128 \\\n  --ctae-lambda-shared 0.01 \\\n  --ctae-lambda-align 0.005 \\\n  --ctae-lambda-orth 0.005 \\\n  --ctae-start-step 0 \\\n  --ctae-align-start-step 0 \\\n  --ctae-orth-start-step 1000 \\\n  --ctae-apply-every 1","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-07T15:34:08.393872Z","iopub.execute_input":"2026-04-07T15:34:08.394228Z"}},"outputs":[],"execution_count":null}]}