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cloth_on_ball/checkpoint/config.yaml

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+# ========================================================
+# ⚠️ Model Capacity Constraints
+# ========================================================
+# 1. cconv_embedding_dim: output feature dimension of continuous convolutions.
+#    Higher values increase model capacity.
+#
+# 2. slot_attn_heads: number of attention heads in slot attention.
+#    Must satisfy:
+#        combined_feat_dim % slot_attn_heads == 0
+#    where
+#        combined_feat_dim = cconv_embedding_dim * factor
+#        factor = 3 for fluid data, 2 for protein data
+#    Each head dimension: dim_head = combined_feat_dim / slot_attn_heads
+#
+# 3. particle_position_rope_dim: RoPE encoding dimension for particle positions.
+#    Must satisfy:
+#        particle_position_rope_dim % 6 == 0  # 3D positions × (cos + sin)
+#        particle_position_rope_dim <= dim_head
+#
+# 4. CrossAttentionWeightedPoswithFeature:
+#    input feature dimension `dim` must be divisible by n_heads:
+#        dim % n_heads == 0
+# ========================================================
+
+device: cuda
+batch_size: 1
+num_workers: 1
+seed: 42
+
+lr: 0.0001
+epochs: 50000
+
+pos_loss_weight: 100.0
+vel_loss_weight: 100.0
+
+max_skip_frames: 1
+max_traj_len: 5
+
+gravity: [0.0, -9.8, 0.0]
+timestep: 0.02
+particle_radius: 0.007
+
+kernel_size: [4, 4, 4]
+cconv_embedding_dim: 384
+radius_scale: 1.5
+coordinate_mapping: ball_to_cube_volume_preserving
+interpolation: linear
+use_window: true
+# Topology branch controls:
+# - null => use built-in rules declared in FluidDataset.py
+# - true/false or numeric radius => manual override
+use_topology_conv: null
+topology_search_radius: 0.004
+# topology_blend_alpha:
+# - null => auto mode (if topology enabled: concat fluid/topology, each half dim)
+# - 0 => topology-only (conv0_topology_out)
+# - 1 => fluid-only (conv0_fluid_out)
+topology_blend_alpha: null
+
+slot_compression_ratio: 4  # never used
+slot_attn_iters: 6
+slot_attn_heads: 16
+k_partite: 2
+particle_position_rope_dim: 48   # 必须 %6 == 0
+num_decoder_layers: 8
+decoder_attn_heads: 12
+decoder_attn_ffn_hidden_dim: 512
+decoder_attn_dropout: 0.1
+output_hidden_dim: 512
+output_layers: 5
+verbose: false
+
+project_name: cloth_on_ball_final
+tab_name: AAA_test_1
+data: cloth_on_ball
+velhead: True
+val_rollout: 80
+
+frame_start: 10
+frame_end: 100

cloth_on_ball/checkpoint/final.ckpt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b39d2d691c1a2be8eb2a990b8e7a06c43ad9b2519073de3855fd0aae4f4bdc61
+size 1881230368

fancy_fluid/checkpoint/config.yaml

@@ -0,0 +1,69 @@
+# ========================================================
+# ⚠️ Model Capacity Constraints
+# ========================================================
+# 1. cconv_embedding_dim: output feature dimension of continuous convolutions.
+#    Higher values increase model capacity.
+#
+# 2. slot_attn_heads: number of attention heads in slot attention.
+#    Must satisfy:
+#        combined_feat_dim % slot_attn_heads == 0
+#    where
+#        combined_feat_dim = cconv_embedding_dim * factor
+#        factor = 3 for fluid data, 2 for protein data
+#    Each head dimension: dim_head = combined_feat_dim / slot_attn_heads
+#
+# 3. particle_position_rope_dim: RoPE encoding dimension for particle positions.
+#    Must satisfy:
+#        particle_position_rope_dim % 6 == 0  # 3D positions × (cos + sin)
+#        particle_position_rope_dim <= dim_head
+#
+# 4. CrossAttentionWeightedPoswithFeature:
+#    input feature dimension `dim` must be divisible by n_heads:
+#        dim % n_heads == 0
+# ========================================================
+
+device: cuda
+batch_size: 1
+num_workers: 32
+seed: 42
+
+lr: 0.0001
+epochs: 50000
+
+pos_loss_weight: 100.0
+vel_loss_weight: 100.0
+
+max_skip_frames: 1
+max_traj_len: 3
+
+gravity: [0.0, -9.81, 0.0]
+timestep: 0.02
+particle_radius: 0.015
+
+kernel_size: [4, 4, 4]
+cconv_embedding_dim: 384
+radius_scale: 1.5
+coordinate_mapping: ball_to_cube_volume_preserving
+interpolation: linear
+use_window: true
+slot_compression_ratio: 4  # never used
+slot_attn_iters: 6
+slot_attn_heads: 12
+k_partite: 2
+particle_position_rope_dim: 48   # 必须 %6 == 0
+num_decoder_layers: 6
+decoder_attn_heads: 8
+decoder_attn_ffn_hidden_dim: 384
+decoder_attn_dropout: 0.1
+output_hidden_dim: 512
+output_layers: 5
+verbose: false
+
+project_name: Fluid_final_1
+tab_name: AAA_test_1
+data: fluid
+other_feats_channels: 2
+velhead: True
+
+frame_start: 0
+frame_end: 801

fancy_fluid/checkpoint/final.ckpt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2183963f89ab8c45d7a47c9f0fe86cae42df3d28d9ec76b3ad58c8827f9fa63e
+size 1551226938

inverse_design/checkpoint/config.yaml

@@ -0,0 +1,80 @@
+# ========================================================
+# ⚠️ Model Capacity Constraints
+# ========================================================
+# 1. cconv_embedding_dim: output feature dimension of continuous convolutions.
+#    Higher values increase model capacity.
+#
+# 2. slot_attn_heads: number of attention heads in slot attention.
+#    Must satisfy:
+#        combined_feat_dim % slot_attn_heads == 0
+#    where
+#        combined_feat_dim = cconv_embedding_dim * factor
+#        factor = 3 for fluid data, 2 for protein data
+#    Each head dimension: dim_head = combined_feat_dim / slot_attn_heads
+#
+# 3. particle_position_rope_dim: RoPE encoding dimension for particle positions.
+#    Must satisfy:
+#        particle_position_rope_dim % 6 == 0  # 3D positions × (cos + sin)
+#        particle_position_rope_dim <= dim_head
+#
+# 4. CrossAttentionWeightedPoswithFeature:
+#    input feature dimension `dim` must be divisible by n_heads:
+#        dim % n_heads == 0
+# ========================================================
+
+device: cuda
+batch_size: 1
+num_workers: 1
+seed: 42
+
+lr: 0.0001
+epochs: 50000
+
+pos_loss_weight: 100.0
+vel_loss_weight: 100.0
+
+max_skip_frames: 1
+max_traj_len: 5
+
+gravity: [0.0, 0.0, 0.0]
+timestep: 0.02
+particle_radius: 0.01
+
+kernel_size: [4, 4, 4]
+cconv_embedding_dim: 384
+radius_scale: 1.5
+coordinate_mapping: ball_to_cube_volume_preserving
+interpolation: linear
+use_window: true
+# Topology branch controls:
+# - null => use built-in rules declared in FluidDataset.py
+# - true/false or numeric radius => manual override
+use_topology_conv: null
+topology_search_radius: 0.005
+# topology_blend_alpha:
+# - null => auto mode (if topology enabled: concat fluid/topology, each half dim)
+# - 0 => topology-only (conv0_topology_out)
+# - 1 => fluid-only (conv0_fluid_out)
+topology_blend_alpha: null
+
+slot_compression_ratio: 4  # never used
+slot_attn_iters: 6
+slot_attn_heads: 16
+k_partite: 2
+particle_position_rope_dim: 48   # 必须 %6 == 0
+num_decoder_layers: 8
+decoder_attn_heads: 12
+decoder_attn_ffn_hidden_dim: 512
+decoder_attn_dropout: 0.1
+output_hidden_dim: 512
+output_layers: 5
+verbose: false
+
+project_name: duck_drop
+tab_name: AAA_test_3
+data: duck_drop
+velhead: True
+val_rollout: 15
+
+frame_start: 0
+frame_end: 20

inverse_design/checkpoint/final.ckpt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7a958a9c6467556208e8bb86f3881f98c64b420faba3a166536177f18403223f
+size 1880631328