{"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":31286,"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":"2026-04-09T13:24:21.730438Z","iopub.execute_input":"2026-04-09T13:24:21.730856Z","iopub.status.idle":"2026-04-09T13:24:57.461651Z","shell.execute_reply.started":"2026-04-09T13:24:21.730827Z","shell.execute_reply":"2026-04-09T13:24:57.460336Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"!git clone -b feat/common-private-activations https://github.com/thanhlamauto/Self-Flow.git","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"execution":{"iopub.status.busy":"2026-04-09T13:24:57.464309Z","iopub.execute_input":"2026-04-09T13:24:57.464611Z","iopub.status.idle":"2026-04-09T13:24:58.549586Z","shell.execute_reply.started":"2026-04-09T13:24:57.464577Z","shell.execute_reply":"2026-04-09T13:24:58.548589Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"%cd /kaggle/working/Self-Flow","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-09T13:24:58.551169Z","iopub.execute_input":"2026-04-09T13:24:58.55155Z","iopub.status.idle":"2026-04-09T13:24:58.56069Z","shell.execute_reply.started":"2026-04-09T13:24:58.5515Z","shell.execute_reply":"2026-04-09T13:24:58.559487Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"!pip install wandb\n!pip install -q array-record","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-09T13:24:58.563119Z","iopub.execute_input":"2026-04-09T13:24:58.563521Z","iopub.status.idle":"2026-04-09T13:25:06.854314Z","shell.execute_reply.started":"2026-04-09T13:24:58.563492Z","shell.execute_reply":"2026-04-09T13:25:06.852819Z"}},"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":"2026-04-09T13:25:06.856249Z","iopub.execute_input":"2026-04-09T13:25:06.856573Z","iopub.status.idle":"2026-04-09T13:25:18.025145Z","shell.execute_reply.started":"2026-04-09T13:25:06.856536Z","shell.execute_reply":"2026-04-09T13:25:18.024012Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"!git pull","metadata":{"trusted":true},"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/full_aux_window_gram \\\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  --lambda-spatial 0.1 \\\n  --lambda-private 1.0 \\\n  --private-max-pairs 10 \\\n  --spatial-window-size 3 \\\n  --private-start-step 20000 \\\n  --private-warmup-iters 5000 \\\n  --spatial-stop-step 50000 \\\n  --spatial-stop-warmup-iters 5000 \\\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  --wandb-project selfflow-jax \\\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","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-09T13:25:18.353969Z","iopub.execute_input":"2026-04-09T13:25:18.354425Z","iopub.status.idle":"2026-04-09T13:29:56.021606Z","shell.execute_reply.started":"2026-04-09T13:25:18.354377Z","shell.execute_reply":"2026-04-09T13:29:56.009677Z"}},"outputs":[],"execution_count":null}]}