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Create config.yaml

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  1. config.yaml +76 -0
config.yaml ADDED
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+ dataset: point_maze
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+ data_path: /data/user_data/mchen5/dino_wm_dataset/point_maze
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+ pretrained_model_path: /data/hf_cache/hub/models--maxin-cn--Latte/snapshots/fc35c8c44c38e0b446158ace47e7de642066f0d9/vae
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+ n_rollout: null
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+ split_ratio: 0.9
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+ validation_size: 32
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+ use_wandb: true
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+ results_dir: ./results
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+ pretrained: null
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+ model: Latte-S/2
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+ use_dynamic_tokenizer: true
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+ num_slots: 256
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+ slot_dim: 16
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+ dec_hidden_size: 384
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+ dec_depth: 12
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+ dec_num_heads: 6
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+ num_frames: 4
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+ n_context_frames: 1
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+ scheduling_mode: full_sequence
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+ image_size: 256
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+ num_sampling_steps: 250
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+ frame_interval: 1
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+ fixed_spatial: false
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+ attention_bias: true
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+ learn_sigma: false
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+ diffusion_mode: diffusion_forcing
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+ extras: 1
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+ use_action: true
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+ action_dim: 2
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+ normalize_action: true
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+ save_ceph: false
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+ learning_rate: 0.0001
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+ clip_max_norm: 0.1
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+ start_clip_iter: 20000
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+ local_batch_size: 16
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+ max_train_steps: 1000000
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+ global_seed: 3407
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+ num_workers: 4
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+ log_every: 10
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+ val_every_n_steps: 1000
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+ lr_warmup_steps: 0
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+ resume_from_checkpoint: null
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+ gradient_accumulation_steps: 1
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+ num_classes: null
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+ use_compile: false
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+ mixed_precision: 32
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+ gradient_checkpointing: true
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+ sequential_loss_grad: true
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+ callbacks:
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+ model_checkpoint_across_timesteps:
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+ every_n_train_steps: 10000
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+ save_top_k: -1
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+ save_on_train_epoch_end: true
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+ save_weights_only: false
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+ filename: '{epoch}-{step}'
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+ model_checkpoint_latest:
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+ every_n_train_steps: 1000
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+ save_top_k: 1
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+ save_on_train_epoch_end: false
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+ save_weights_only: false
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+ filename: latest-{epoch}-{step}
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+ metrics_logger:
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+ log_every_n_train_steps: 10000
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+ save_videos: true
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+ evaluate: true
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+ max_batchsize: 4
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+ buffer_size: 32
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+ i3d_model_path: checkpoints/i3d/i3d_torchscript.pt
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+ inference_n_slots:
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+ - 64
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+ - 128
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+ - 256
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+ train: true
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+ validate: false
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+ exp_name: tok2_comp=False_mp=32_gc=True
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+ run_id: 6002143-0