Datasets:
ArXiv:
License:
Move fluid checkpoint to deep_lagrange_dataset
Browse files
deep_lagrange_dataset/checkpoint/config.yaml
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# ========================================================
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# ⚠️ Model Capacity Constraints
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# ========================================================
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# 1. cconv_embedding_dim: output feature dimension of continuous convolutions.
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# Higher values increase model capacity.
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#
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# 2. slot_attn_heads: number of attention heads in slot attention.
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# Must satisfy:
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# combined_feat_dim % slot_attn_heads == 0
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# where
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# combined_feat_dim = cconv_embedding_dim * factor
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# factor = 3 for fluid data, 2 for protein data
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# Each head dimension: dim_head = combined_feat_dim / slot_attn_heads
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#
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# 3. particle_position_rope_dim: RoPE encoding dimension for particle positions.
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# Must satisfy:
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# particle_position_rope_dim % 6 == 0 # 3D positions × (cos + sin)
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# particle_position_rope_dim <= dim_head
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#
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# 4. CrossAttentionWeightedPoswithFeature:
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# input feature dimension `dim` must be divisible by n_heads:
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# dim % n_heads == 0
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# ========================================================
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device: cuda
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batch_size: 1
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num_workers: 32
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seed: 42
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lr: 0.0001
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epochs: 50000
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pos_loss_weight: 100.0
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vel_loss_weight: 100.0
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max_skip_frames: 1
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max_traj_len: 3
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gravity: [0.0, -9.81, 0.0]
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timestep: 0.02
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particle_radius: 0.015
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kernel_size: [4, 4, 4]
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cconv_embedding_dim: 384
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radius_scale: 1.5
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coordinate_mapping: ball_to_cube_volume_preserving
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interpolation: linear
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use_window: true
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slot_compression_ratio: 4 # never used
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slot_attn_iters: 6
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slot_attn_heads: 12
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k_partite: 2
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particle_position_rope_dim: 48 # 必须 %6 == 0
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num_decoder_layers: 6
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decoder_attn_heads: 8
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decoder_attn_ffn_hidden_dim: 384
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decoder_attn_dropout: 0.1
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output_hidden_dim: 512
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output_layers: 5
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verbose: false
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project_name: Fluid_final_1
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tab_name: AAA_test_1
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data: fluid
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other_feats_channels: 2
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velhead: True
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frame_start: 0
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frame_end: 801
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deep_lagrange_dataset/checkpoint/final.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2183963f89ab8c45d7a47c9f0fe86cae42df3d28d9ec76b3ad58c8827f9fa63e
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size 1551226938
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