{"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":15079638,"datasetId":9654486,"databundleVersionId":15962693},{"sourceType":"datasetVersion","sourceId":15080290,"datasetId":9654925,"databundleVersionId":15963418},{"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":"2026-03-22T09:10:11.578343Z","iopub.execute_input":"2026-03-22T09:10:11.578484Z","iopub.status.idle":"2026-03-22T09:10:45.448045Z","shell.execute_reply.started":"2026-03-22T09:10:11.578468Z","shell.execute_reply":"2026-03-22T09:10:45.447149Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"!git clone -b feat/self-flow-i-jepa https://github.com/thanhlamauto/Self-Flow.git","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"execution":{"iopub.status.busy":"2026-03-22T09:10:45.448536Z","iopub.execute_input":"2026-03-22T09:10:45.448702Z","iopub.status.idle":"2026-03-22T09:10:46.650643Z","shell.execute_reply.started":"2026-03-22T09:10:45.448683Z","shell.execute_reply":"2026-03-22T09:10:46.649668Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"%cd /kaggle/working/Self-Flow","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-03-22T09:10:46.651142Z","iopub.execute_input":"2026-03-22T09:10:46.651304Z","iopub.status.idle":"2026-03-22T09:10:46.655271Z","shell.execute_reply.started":"2026-03-22T09:10:46.651286Z","shell.execute_reply":"2026-03-22T09:10:46.654661Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"!pip install wandb\n!pip install -q array-record","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-03-22T09:10:46.655808Z","iopub.execute_input":"2026-03-22T09:10:46.65598Z","iopub.status.idle":"2026-03-22T09:10:52.791767Z","shell.execute_reply.started":"2026-03-22T09:10:46.655959Z","shell.execute_reply":"2026-03-22T09:10:52.790869Z"}},"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":"2026-03-22T09:10:52.79239Z","iopub.execute_input":"2026-03-22T09:10:52.792551Z","iopub.status.idle":"2026-03-22T09:10:55.988384Z","shell.execute_reply.started":"2026-03-22T09:10:52.792533Z","shell.execute_reply":"2026-03-22T09:10:55.987455Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"!git pull","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-03-22T09:10:55.989057Z","iopub.execute_input":"2026-03-22T09:10:55.98936Z","iopub.status.idle":"2026-03-22T09:10:56.312739Z","shell.execute_reply.started":"2026-03-22T09:10:55.989343Z","shell.execute_reply":"2026-03-22T09:10:56.311498Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"!python train.py --model-size B --batch-size 128 --epochs 400 --steps-per-epoch 1000 --learning-rate 1e-4 --vae-model /kaggle/input/models/damtrunghieu/sdvae-ema/flax/default/1 --ckpt-dir ./checkpoints --data-path /kaggle/input/datasets/thaygiaodaysat/imagenet-vae-latents-ar-v2 --val-data-path /kaggle/input/datasets/thaygiaodaysat/imagenet-vae-latents-train-v3 --wandb-project selfflow-jax --mask-ratio 0.25 --lambda-jepa 0.5 --fixed-ema-decay 0.9999 --predictor-depth 4 --jepa-num-targets 1 --student-layer 4 --teacher-layer 8 --grad-clip 1.0 --log-freq 100 --eval-freq 1000 --eval-batches 4 --sample-freq 5000 --sample-num-steps 50 --sample-cfg-scale 1.0 --fid-freq 25000 --num-fid-samples 4096 --fid-batch-size 256 --fid-eval-local-batch 32 --fid-num-steps 50 --fid-cfg-scale 1.0 --vae-decode-batch-size 256 --no-linear-probe --inception-score-weights /kaggle/input/models/ctlcmleon/inception-v3/pytorch/default/1/inception_v3_google-0cc3c7bd.pth --probe-eval-batches 4 --probe-layer 8 --block-corr-freq 25000 --block-corr-batches 2 --preflight-checks --preflight-fid-memory-probe","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-03-22T09:10:56.313508Z","iopub.execute_input":"2026-03-22T09:10:56.313697Z"}},"outputs":[],"execution_count":null}]}