Add files using upload-large-folder tool
Browse files- wnm_3d_stage1/action_normalization.json +42 -0
- wnm_3d_stage1/config.json +93 -0
- wnm_3d_stage1/experiment_cfg/conf.yaml +582 -0
- wnm_3d_stage1/experiment_cfg/metadata.json +107 -0
- wnm_3d_stage1/model-00001-of-00006.safetensors +3 -0
- wnm_3d_stage1/model-00002-of-00006.safetensors +3 -0
- wnm_3d_stage1/model-00003-of-00006.safetensors +3 -0
- wnm_3d_stage1/model-00004-of-00006.safetensors +3 -0
- wnm_3d_stage1/model-00005-of-00006.safetensors +3 -0
- wnm_3d_stage1/model-00006-of-00006.safetensors +3 -0
- wnm_3d_stage1/model.safetensors.index.json +0 -0
- wnm_3d_stage2/action_normalization.json +42 -0
- wnm_3d_stage2/config.json +93 -0
- wnm_3d_stage2/experiment_cfg/conf.yaml +581 -0
- wnm_3d_stage2/experiment_cfg/metadata.json +107 -0
- wnm_3d_stage2/model-00001-of-00006.safetensors +3 -0
- wnm_3d_stage2/model-00002-of-00006.safetensors +3 -0
- wnm_3d_stage2/model-00003-of-00006.safetensors +3 -0
- wnm_3d_stage2/model-00004-of-00006.safetensors +3 -0
- wnm_3d_stage2/model-00005-of-00006.safetensors +3 -0
- wnm_3d_stage2/model-00006-of-00006.safetensors +3 -0
- wnm_3d_stage2/model.safetensors.index.json +0 -0
- wnm_3d_stage3/action_normalization.json +42 -0
- wnm_3d_stage3/config.json +93 -0
- wnm_3d_stage3/experiment_cfg/conf.yaml +581 -0
- wnm_3d_stage3/experiment_cfg/metadata.json +107 -0
- wnm_3d_stage3/model-00001-of-00006.safetensors +3 -0
- wnm_3d_stage3/model-00002-of-00006.safetensors +3 -0
- wnm_3d_stage3/model-00003-of-00006.safetensors +3 -0
- wnm_3d_stage3/model-00004-of-00006.safetensors +3 -0
- wnm_3d_stage3/model-00005-of-00006.safetensors +3 -0
- wnm_3d_stage3/model-00006-of-00006.safetensors +3 -0
- wnm_3d_stage3/model.safetensors.index.json +0 -0
wnm_3d_stage1/action_normalization.json
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{
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"schema": "wnm_3d_action_normalization_v1",
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| 3 |
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"embodiment": "interiorgs",
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| 4 |
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"action_key": "action.nav_delta",
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"channel_order": [
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"dx_m",
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"dy_m",
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"dyaw_rad"
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],
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| 10 |
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"model_action_dim": 32,
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| 11 |
+
"action_horizon_per_chunk": 8,
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| 12 |
+
"decoded_action_dims": 3,
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| 13 |
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"normalization_mode": "q99",
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"normalized_reference_range": [
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-1.0,
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1.0
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],
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| 18 |
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"q01": [
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| 19 |
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-0.5167848467826843,
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-0.6000025272369385,
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| 21 |
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-0.7039973735809326
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],
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"q99": [
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0.8178253173828125,
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0.6459061503410339,
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| 26 |
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0.7619411945343018
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| 27 |
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],
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| 28 |
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"nav_action_scale": 4.0,
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| 29 |
+
"physical_q01_after_scale": [
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| 30 |
+
-0.12919621169567108,
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| 31 |
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-0.15000063180923462,
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-0.17599934339523315
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| 33 |
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],
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| 34 |
+
"physical_q99_after_scale": [
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| 35 |
+
0.20445632934570312,
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| 36 |
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0.16147653758525848,
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| 37 |
+
0.19048529863357544
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| 38 |
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],
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| 39 |
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"decode_formula": "delta = (((action_norm[..., :3] + 1) * 0.5) * (q99 - q01) + q01) / nav_action_scale",
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| 40 |
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"encode_formula": "action_norm = 2 * ((delta * nav_action_scale) - q01) / (q99 - q01) - 1",
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| 41 |
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"decode_clamps_normalized_action": false
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| 42 |
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}
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wnm_3d_stage1/config.json
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{
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"action_dim": 32,
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| 3 |
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"action_head_cfg": {
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| 4 |
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"_convert_": "object",
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| 5 |
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"_target_": "gammanav.vln.model.wnm_3d.action_head.wan_flow_matching_action_tf.WANPolicyHead",
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| 6 |
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"config": {
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| 7 |
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"_recursive_": false,
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| 8 |
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"_target_": "gammanav.vln.model.wnm_3d.action_head.wan_flow_matching_action_tf.WANPolicyHeadConfig",
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| 9 |
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"action_dim": 32,
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| 10 |
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"action_horizon": 8,
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| 11 |
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"backbone_features_projector_cfg": null,
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| 12 |
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"decouple_video_action_noise": false,
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| 13 |
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"diffusion_model_cfg": {
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| 14 |
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"_convert_": "object",
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"_target_": "gammanav.vln.model.wnm_3d.modules.wan_video_dit_action_casual_chunk.CausalWanModel",
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| 16 |
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"concat_first_frame_latent": false,
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| 17 |
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"diffusion_model_pretrained_path": "./checkpoints/Wan2.2-TI2V-5B",
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| 18 |
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"dim": 3072,
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| 19 |
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"eps": 1e-06,
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| 20 |
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"ffn_dim": 14336,
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| 21 |
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"frame_seqlen": 50,
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| 22 |
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"freq_dim": 256,
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| 23 |
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"in_dim": 48,
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| 24 |
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"max_chunk_size": 4,
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| 25 |
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"model_type": "ti2v",
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| 26 |
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"num_action_per_block": 8,
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| 27 |
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"num_frame_per_block": 2,
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| 28 |
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"num_heads": 24,
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| 29 |
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"num_layers": 30,
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| 30 |
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"num_state_per_block": 1,
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| 31 |
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"out_dim": 48
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| 32 |
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},
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| 33 |
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"image_encoder_cfg": {
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| 34 |
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"_convert_": "object",
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| 35 |
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"_target_": "gammanav.vln.model.wnm_3d.modules.wan_video_image_encoder.WanImageEncoder",
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| 36 |
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"image_encoder_pretrained_path": "./checkpoints/Wan2.1-I2V-14B-480P/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth"
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| 37 |
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},
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| 38 |
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"init_lora_weights": "kaiming",
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| 39 |
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"lora_alpha": 4,
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| 40 |
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"lora_rank": 4,
|
| 41 |
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"lora_target_modules": "q,k,v,o,ffn.0,ffn.2",
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| 42 |
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"max_action_dim": 32,
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| 43 |
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"max_state_dim": 64,
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| 44 |
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"num_frame_per_block": 2,
|
| 45 |
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"num_frames": 33,
|
| 46 |
+
"num_inference_timesteps": 4,
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| 47 |
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"skip_component_loading": true,
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| 48 |
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"target_video_height": 160,
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| 49 |
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"target_video_width": 320,
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| 50 |
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"text_encoder_cfg": {
|
| 51 |
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"_convert_": "object",
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| 52 |
+
"_target_": "gammanav.vln.model.wnm_3d.modules.wan_video_text_encoder.WanTextEncoder",
|
| 53 |
+
"text_encoder_pretrained_path": "./checkpoints/Wan2.2-TI2V-5B/models_t5_umt5-xxl-enc-bf16.pth"
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| 54 |
+
},
|
| 55 |
+
"tile_size_height": 34,
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| 56 |
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"tile_size_width": 34,
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| 57 |
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"tile_stride_height": 18,
|
| 58 |
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"tile_stride_width": 16,
|
| 59 |
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"tiled": false,
|
| 60 |
+
"train_architecture": "full",
|
| 61 |
+
"tune_diffusion_model": true,
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| 62 |
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"tune_projector": true,
|
| 63 |
+
"use_vggt_geometry_adapter": true,
|
| 64 |
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"vae_cfg": {
|
| 65 |
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"_convert_": "object",
|
| 66 |
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"_target_": "gammanav.vln.model.wnm_3d.modules.wan_video_vae.WanVideoVAE38",
|
| 67 |
+
"dim": 160,
|
| 68 |
+
"vae_pretrained_path": "./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth",
|
| 69 |
+
"z_dim": 48
|
| 70 |
+
},
|
| 71 |
+
"vggt_adapter_blocks": 2,
|
| 72 |
+
"vggt_adapter_dim": 512,
|
| 73 |
+
"vggt_adapter_heads": 8,
|
| 74 |
+
"vggt_checkpoint_path": "./checkpoints/vggt_omega_1b_512.pt",
|
| 75 |
+
"vggt_image_resolution": 512,
|
| 76 |
+
"vggt_resize_mode": "square",
|
| 77 |
+
"video_noise_beta_alpha": 3.0,
|
| 78 |
+
"video_noise_beta_beta": 1.0
|
| 79 |
+
}
|
| 80 |
+
},
|
| 81 |
+
"action_horizon": 8,
|
| 82 |
+
"architectures": [
|
| 83 |
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"WNM3DModel"
|
| 84 |
+
],
|
| 85 |
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"backbone_cfg": {
|
| 86 |
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"_target_": "gammanav.vln.model.wnm_3d.backbone.identity.IdentityBackbone"
|
| 87 |
+
},
|
| 88 |
+
"hidden_size": 0,
|
| 89 |
+
"model_dtype": "float32",
|
| 90 |
+
"model_type": "wnm_3d",
|
| 91 |
+
"torch_dtype": "bfloat16",
|
| 92 |
+
"transformers_version": "4.51.3"
|
| 93 |
+
}
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wnm_3d_stage1/experiment_cfg/conf.yaml
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|
| 1 |
+
model:
|
| 2 |
+
_target_: gammanav.vln.model.wnm_3d.model.WNM3DModel
|
| 3 |
+
_convert_: object
|
| 4 |
+
config:
|
| 5 |
+
_target_: gammanav.vln.model.wnm_3d.model.WNM3DConfig
|
| 6 |
+
_recursive_: false
|
| 7 |
+
model_dtype: float32
|
| 8 |
+
hidden_size: 0
|
| 9 |
+
action_horizon: 8
|
| 10 |
+
action_dim: 32
|
| 11 |
+
backbone_cfg:
|
| 12 |
+
_target_: gammanav.vln.model.wnm_3d.backbone.identity.IdentityBackbone
|
| 13 |
+
action_head_cfg:
|
| 14 |
+
config:
|
| 15 |
+
backbone_features_projector_cfg: null
|
| 16 |
+
_target_: gammanav.vln.model.wnm_3d.action_head.wan_flow_matching_action_tf.WANPolicyHeadConfig
|
| 17 |
+
_recursive_: false
|
| 18 |
+
tiled: false
|
| 19 |
+
tile_size_height: 34
|
| 20 |
+
tile_size_width: 34
|
| 21 |
+
tile_stride_height: 18
|
| 22 |
+
tile_stride_width: 16
|
| 23 |
+
lora_rank: 4
|
| 24 |
+
lora_alpha: 4
|
| 25 |
+
num_frames: 33
|
| 26 |
+
num_frame_per_block: 2
|
| 27 |
+
lora_target_modules: q,k,v,o,ffn.0,ffn.2
|
| 28 |
+
init_lora_weights: kaiming
|
| 29 |
+
train_architecture: full
|
| 30 |
+
use_vggt_geometry_adapter: true
|
| 31 |
+
vggt_checkpoint_path: ./checkpoints/vggt_omega_1b_512.pt
|
| 32 |
+
vggt_image_resolution: 512
|
| 33 |
+
vggt_resize_mode: square
|
| 34 |
+
vggt_adapter_dim: 512
|
| 35 |
+
vggt_adapter_blocks: 2
|
| 36 |
+
vggt_adapter_heads: 8
|
| 37 |
+
max_state_dim: 64
|
| 38 |
+
max_action_dim: 32
|
| 39 |
+
diffusion_model_cfg:
|
| 40 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_dit_action_casual_chunk.CausalWanModel
|
| 41 |
+
_convert_: object
|
| 42 |
+
diffusion_model_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B
|
| 43 |
+
model_type: ti2v
|
| 44 |
+
frame_seqlen: 50
|
| 45 |
+
dim: 3072
|
| 46 |
+
in_dim: 48
|
| 47 |
+
ffn_dim: 14336
|
| 48 |
+
out_dim: 48
|
| 49 |
+
freq_dim: 256
|
| 50 |
+
eps: 1.0e-06
|
| 51 |
+
num_heads: 24
|
| 52 |
+
num_layers: 30
|
| 53 |
+
max_chunk_size: 4
|
| 54 |
+
num_frame_per_block: 2
|
| 55 |
+
num_action_per_block: 8
|
| 56 |
+
num_state_per_block: 1
|
| 57 |
+
concat_first_frame_latent: false
|
| 58 |
+
text_encoder_cfg:
|
| 59 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_text_encoder.WanTextEncoder
|
| 60 |
+
_convert_: object
|
| 61 |
+
text_encoder_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/models_t5_umt5-xxl-enc-bf16.pth
|
| 62 |
+
image_encoder_cfg:
|
| 63 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_image_encoder.WanImageEncoder
|
| 64 |
+
_convert_: object
|
| 65 |
+
image_encoder_pretrained_path: ./checkpoints/Wan2.1-I2V-14B-480P/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth
|
| 66 |
+
vae_cfg:
|
| 67 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_vae.WanVideoVAE38
|
| 68 |
+
_convert_: object
|
| 69 |
+
vae_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth
|
| 70 |
+
z_dim: 48
|
| 71 |
+
dim: 160
|
| 72 |
+
action_dim: 32
|
| 73 |
+
action_horizon: 8
|
| 74 |
+
num_inference_timesteps: 4
|
| 75 |
+
decouple_video_action_noise: false
|
| 76 |
+
video_noise_beta_alpha: 3.0
|
| 77 |
+
video_noise_beta_beta: 1.0
|
| 78 |
+
tune_projector: true
|
| 79 |
+
tune_diffusion_model: true
|
| 80 |
+
target_video_height: 160
|
| 81 |
+
target_video_width: 320
|
| 82 |
+
_target_: gammanav.vln.model.wnm_3d.action_head.wan_flow_matching_action_tf.WANPolicyHead
|
| 83 |
+
_convert_: object
|
| 84 |
+
train_dataset:
|
| 85 |
+
_target_: gammanav.vln.data.dataset.lerobot.LeRobotMixtureDataset.from_mixture_spec
|
| 86 |
+
_convert_: object
|
| 87 |
+
mixture_spec:
|
| 88 |
+
- dataset_path:
|
| 89 |
+
interiorgs:
|
| 90 |
+
- ./data/interiorgs_lerobot_seen
|
| 91 |
+
dataset_weight: 1.0
|
| 92 |
+
distribute_weights: true
|
| 93 |
+
dataset_class: gammanav.vln.data.dataset.lerobot_sharded.ShardedLeRobotSingleActionChunkDatasetInteriorGS
|
| 94 |
+
all_modality_configs:
|
| 95 |
+
interiorgs:
|
| 96 |
+
video:
|
| 97 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 98 |
+
delta_indices: []
|
| 99 |
+
eval_delta_indices:
|
| 100 |
+
- 0
|
| 101 |
+
modality_keys:
|
| 102 |
+
- video.rgb
|
| 103 |
+
state:
|
| 104 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 105 |
+
delta_indices: []
|
| 106 |
+
modality_keys:
|
| 107 |
+
- state.nav_pose
|
| 108 |
+
action:
|
| 109 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 110 |
+
delta_indices: []
|
| 111 |
+
modality_keys:
|
| 112 |
+
- action.nav_delta
|
| 113 |
+
language:
|
| 114 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 115 |
+
delta_indices:
|
| 116 |
+
- 0
|
| 117 |
+
modality_keys:
|
| 118 |
+
- annotation.language.language_instruction
|
| 119 |
+
all_transforms:
|
| 120 |
+
interiorgs:
|
| 121 |
+
_target_: gammanav.vln.data.transform.ComposedModalityTransform
|
| 122 |
+
transforms:
|
| 123 |
+
- _target_: gammanav.vln.data.transform.VideoToTensor
|
| 124 |
+
apply_to:
|
| 125 |
+
- video.rgb
|
| 126 |
+
- _target_: gammanav.vln.data.transform.VideoCrop
|
| 127 |
+
apply_to:
|
| 128 |
+
- video.rgb
|
| 129 |
+
scale: 0.95
|
| 130 |
+
mode: random
|
| 131 |
+
- _target_: gammanav.vln.data.transform.VideoResize
|
| 132 |
+
apply_to:
|
| 133 |
+
- video.rgb
|
| 134 |
+
height: 160
|
| 135 |
+
width: 320
|
| 136 |
+
interpolation: linear
|
| 137 |
+
- _target_: gammanav.vln.data.transform.VideoColorJitter
|
| 138 |
+
apply_to:
|
| 139 |
+
- video.rgb
|
| 140 |
+
brightness: 0.3
|
| 141 |
+
contrast: 0.4
|
| 142 |
+
saturation: 0.5
|
| 143 |
+
hue: 0.08
|
| 144 |
+
- _target_: gammanav.vln.data.transform.VideoToNumpy
|
| 145 |
+
apply_to:
|
| 146 |
+
- video.rgb
|
| 147 |
+
- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 148 |
+
apply_to:
|
| 149 |
+
- state.nav_pose
|
| 150 |
+
- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 151 |
+
apply_to:
|
| 152 |
+
- state.nav_pose
|
| 153 |
+
normalization_modes:
|
| 154 |
+
state.nav_pose: q99
|
| 155 |
+
- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 156 |
+
apply_to:
|
| 157 |
+
- action.nav_delta
|
| 158 |
+
- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 159 |
+
apply_to:
|
| 160 |
+
- action.nav_delta
|
| 161 |
+
normalization_modes:
|
| 162 |
+
action.nav_delta: q99
|
| 163 |
+
- _target_: gammanav.vln.data.transform.ConcatTransform
|
| 164 |
+
video_concat_order:
|
| 165 |
+
- video.rgb
|
| 166 |
+
state_concat_order:
|
| 167 |
+
- state.nav_pose
|
| 168 |
+
action_concat_order:
|
| 169 |
+
- action.nav_delta
|
| 170 |
+
- _target_: gammanav.vln.model.wnm_3d.transform.wnm_3d_cotrain.WNM3DTransform
|
| 171 |
+
default_instruction: Perform the default behavior.
|
| 172 |
+
language_dropout_prob: 0.0
|
| 173 |
+
always_use_default_instruction: false
|
| 174 |
+
max_state_dim: 64
|
| 175 |
+
max_action_dim: 32
|
| 176 |
+
max_length: 512
|
| 177 |
+
state_horizon: 4
|
| 178 |
+
action_horizon: 8
|
| 179 |
+
tokenizer_path: ./checkpoints/umt5-xxl
|
| 180 |
+
dataset_kwargs:
|
| 181 |
+
max_chunk_size: 4
|
| 182 |
+
num_frames: 33
|
| 183 |
+
action_horizon: 8
|
| 184 |
+
state_horizon: 4
|
| 185 |
+
num_frame_per_block: 2
|
| 186 |
+
num_action_per_block: 8
|
| 187 |
+
num_state_per_block: 1
|
| 188 |
+
vae_temporal_stride: 4
|
| 189 |
+
video_frame_stride: 1
|
| 190 |
+
action_frame_stride: 1
|
| 191 |
+
history_sampling: uniform
|
| 192 |
+
nav_action_scale: 4.0
|
| 193 |
+
nav_smooth_window: 7
|
| 194 |
+
nav_smooth_passes: 2
|
| 195 |
+
compute_statistics: true
|
| 196 |
+
max_stats_episodes: 512
|
| 197 |
+
stats_start_stride: 16
|
| 198 |
+
mixture_kwargs:
|
| 199 |
+
training: true
|
| 200 |
+
balance_dataset_weights: false
|
| 201 |
+
balance_trajectory_weights: true
|
| 202 |
+
seed: 42
|
| 203 |
+
allow_padding_at_end: true
|
| 204 |
+
trainer:
|
| 205 |
+
_target_: gammanav.vln.experiment.VLNTrainer
|
| 206 |
+
_partial_: true
|
| 207 |
+
_recursive_: false
|
| 208 |
+
callbacks: null
|
| 209 |
+
model: ???
|
| 210 |
+
train_dataset: ???
|
| 211 |
+
compute_dtype: ???
|
| 212 |
+
wandb_project: wnm_3d
|
| 213 |
+
output_dir: ./checkpoints/wnm_3d_stage1
|
| 214 |
+
load_from_yaml: null
|
| 215 |
+
remove_unused_columns: false
|
| 216 |
+
bf16: true
|
| 217 |
+
tf32: true
|
| 218 |
+
global_batch_size: 8
|
| 219 |
+
raise_error_if_global_batch_size_not_set: false
|
| 220 |
+
per_device_train_batch_size: 1
|
| 221 |
+
per_device_eval_batch_size: 64
|
| 222 |
+
gradient_accumulation_steps: 1
|
| 223 |
+
dataloader_num_workers: 0
|
| 224 |
+
dataloader_pin_memory: false
|
| 225 |
+
dataloader_persistent_workers: false
|
| 226 |
+
optim: adamw_torch
|
| 227 |
+
learning_rate: 0.0001
|
| 228 |
+
adam_beta1: 0.95
|
| 229 |
+
adam_beta2: 0.999
|
| 230 |
+
adam_epsilon: 1.0e-08
|
| 231 |
+
weight_decay: 1.0e-05
|
| 232 |
+
lr_scheduler_type: cosine
|
| 233 |
+
warmup_ratio: 0.05
|
| 234 |
+
logging_steps: 1
|
| 235 |
+
num_train_epochs: 1000
|
| 236 |
+
max_steps: 10
|
| 237 |
+
save_strategy: steps
|
| 238 |
+
save_steps: 10
|
| 239 |
+
eval_strategy: 'no'
|
| 240 |
+
save_total_limit: 5
|
| 241 |
+
report_to: none
|
| 242 |
+
seed: 42
|
| 243 |
+
do_eval: false
|
| 244 |
+
gradient_checkpointing: false
|
| 245 |
+
ddp_find_unused_parameters: false
|
| 246 |
+
ddp_bucket_cap_mb: 100
|
| 247 |
+
eval_bf16: true
|
| 248 |
+
torch_compile_mode: null
|
| 249 |
+
pretrained_model_path: null
|
| 250 |
+
save_lora_only: false
|
| 251 |
+
training_args:
|
| 252 |
+
_target_: transformers.TrainingArguments
|
| 253 |
+
output_dir: ./checkpoints/wnm_3d_stage1
|
| 254 |
+
run_name: wnm_3d_10step_reference
|
| 255 |
+
remove_unused_columns: false
|
| 256 |
+
deepspeed: gammanav/vln/configs/deepspeed/zero2.json
|
| 257 |
+
gradient_checkpointing: false
|
| 258 |
+
bf16: true
|
| 259 |
+
tf32: true
|
| 260 |
+
per_device_train_batch_size: 1
|
| 261 |
+
per_device_eval_batch_size: 64
|
| 262 |
+
gradient_accumulation_steps: 1
|
| 263 |
+
dataloader_num_workers: 0
|
| 264 |
+
dataloader_pin_memory: false
|
| 265 |
+
dataloader_persistent_workers: false
|
| 266 |
+
optim: adamw_torch
|
| 267 |
+
adam_beta1: 0.95
|
| 268 |
+
adam_beta2: 0.999
|
| 269 |
+
adam_epsilon: 1.0e-08
|
| 270 |
+
learning_rate: 1.0e-05
|
| 271 |
+
weight_decay: 1.0e-05
|
| 272 |
+
warmup_ratio: 0.05
|
| 273 |
+
lr_scheduler_type: cosine
|
| 274 |
+
logging_steps: 1
|
| 275 |
+
num_train_epochs: 1000
|
| 276 |
+
max_steps: 10
|
| 277 |
+
save_strategy: steps
|
| 278 |
+
save_steps: 10
|
| 279 |
+
save_total_limit: 5
|
| 280 |
+
report_to: none
|
| 281 |
+
seed: 42
|
| 282 |
+
do_eval: false
|
| 283 |
+
ddp_find_unused_parameters: false
|
| 284 |
+
ddp_bucket_cap_mb: 100
|
| 285 |
+
torch_compile_mode: null
|
| 286 |
+
logging_dir: ./checkpoints/wnm_3d_stage1/tensorboard
|
| 287 |
+
profile_dir: null
|
| 288 |
+
backbone_hidden_size: 0
|
| 289 |
+
backbone_cfg:
|
| 290 |
+
_target_: gammanav.vln.model.wnm_3d.backbone.identity.IdentityBackbone
|
| 291 |
+
action_head_cfg:
|
| 292 |
+
config:
|
| 293 |
+
backbone_features_projector_cfg: null
|
| 294 |
+
_target_: gammanav.vln.model.wnm_3d.action_head.wan_flow_matching_action_tf.WANPolicyHeadConfig
|
| 295 |
+
_recursive_: false
|
| 296 |
+
tiled: false
|
| 297 |
+
tile_size_height: 34
|
| 298 |
+
tile_size_width: 34
|
| 299 |
+
tile_stride_height: 18
|
| 300 |
+
tile_stride_width: 16
|
| 301 |
+
lora_rank: 4
|
| 302 |
+
lora_alpha: 4
|
| 303 |
+
num_frames: 33
|
| 304 |
+
num_frame_per_block: 2
|
| 305 |
+
lora_target_modules: q,k,v,o,ffn.0,ffn.2
|
| 306 |
+
init_lora_weights: kaiming
|
| 307 |
+
train_architecture: full
|
| 308 |
+
use_vggt_geometry_adapter: true
|
| 309 |
+
vggt_checkpoint_path: ./checkpoints/vggt_omega_1b_512.pt
|
| 310 |
+
vggt_image_resolution: 512
|
| 311 |
+
vggt_resize_mode: square
|
| 312 |
+
vggt_adapter_dim: 512
|
| 313 |
+
vggt_adapter_blocks: 2
|
| 314 |
+
vggt_adapter_heads: 8
|
| 315 |
+
max_state_dim: 64
|
| 316 |
+
max_action_dim: 32
|
| 317 |
+
diffusion_model_cfg:
|
| 318 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_dit_action_casual_chunk.CausalWanModel
|
| 319 |
+
_convert_: object
|
| 320 |
+
diffusion_model_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B
|
| 321 |
+
model_type: ti2v
|
| 322 |
+
frame_seqlen: 50
|
| 323 |
+
dim: 3072
|
| 324 |
+
in_dim: 48
|
| 325 |
+
ffn_dim: 14336
|
| 326 |
+
out_dim: 48
|
| 327 |
+
freq_dim: 256
|
| 328 |
+
eps: 1.0e-06
|
| 329 |
+
num_heads: 24
|
| 330 |
+
num_layers: 30
|
| 331 |
+
max_chunk_size: 4
|
| 332 |
+
num_frame_per_block: 2
|
| 333 |
+
num_action_per_block: 8
|
| 334 |
+
num_state_per_block: 1
|
| 335 |
+
concat_first_frame_latent: false
|
| 336 |
+
text_encoder_cfg:
|
| 337 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_text_encoder.WanTextEncoder
|
| 338 |
+
_convert_: object
|
| 339 |
+
text_encoder_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/models_t5_umt5-xxl-enc-bf16.pth
|
| 340 |
+
image_encoder_cfg:
|
| 341 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_image_encoder.WanImageEncoder
|
| 342 |
+
_convert_: object
|
| 343 |
+
image_encoder_pretrained_path: ./checkpoints/Wan2.1-I2V-14B-480P/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth
|
| 344 |
+
vae_cfg:
|
| 345 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_vae.WanVideoVAE38
|
| 346 |
+
_convert_: object
|
| 347 |
+
vae_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth
|
| 348 |
+
z_dim: 48
|
| 349 |
+
dim: 160
|
| 350 |
+
action_dim: 32
|
| 351 |
+
action_horizon: 8
|
| 352 |
+
num_inference_timesteps: 4
|
| 353 |
+
decouple_video_action_noise: false
|
| 354 |
+
video_noise_beta_alpha: 3.0
|
| 355 |
+
video_noise_beta_beta: 1.0
|
| 356 |
+
tune_projector: true
|
| 357 |
+
tune_diffusion_model: true
|
| 358 |
+
target_video_height: 160
|
| 359 |
+
target_video_width: 320
|
| 360 |
+
_target_: gammanav.vln.model.wnm_3d.action_head.wan_flow_matching_action_tf.WANPolicyHead
|
| 361 |
+
_convert_: object
|
| 362 |
+
dit_version: ./checkpoints/Wan2.2-TI2V-5B
|
| 363 |
+
text_encoder_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/models_t5_umt5-xxl-enc-bf16.pth
|
| 364 |
+
image_encoder_pretrained_path: ./checkpoints/Wan2.1-I2V-14B-480P/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth
|
| 365 |
+
vae_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth
|
| 366 |
+
train_architecture: full
|
| 367 |
+
num_frame_per_block: 2
|
| 368 |
+
num_action_per_block: 8
|
| 369 |
+
num_state_per_block: 1
|
| 370 |
+
frame_seqlen: 50
|
| 371 |
+
use_vggt_geometry_adapter: true
|
| 372 |
+
vggt_omega_checkpoint_path: ./checkpoints/vggt_omega_1b_512.pt
|
| 373 |
+
vggt_image_resolution: 512
|
| 374 |
+
vggt_resize_mode: square
|
| 375 |
+
vggt_adapter_dim: 512
|
| 376 |
+
vggt_adapter_blocks: 2
|
| 377 |
+
vggt_adapter_heads: 8
|
| 378 |
+
max_length: 512
|
| 379 |
+
tokenizer_path: ./checkpoints/umt5-xxl
|
| 380 |
+
data_collator:
|
| 381 |
+
_target_: gammanav.vln.model.wnm_3d.transform.wnm_3d_cotrain.DefaultDataCollator
|
| 382 |
+
tokenizer_path: ./checkpoints/umt5-xxl
|
| 383 |
+
max_length: 512
|
| 384 |
+
num_visual_tokens_per_frame: 16
|
| 385 |
+
max_state_dim: 64
|
| 386 |
+
max_action_dim: 32
|
| 387 |
+
language_dropout_prob: 0.0
|
| 388 |
+
model_specific_transform:
|
| 389 |
+
_target_: gammanav.vln.model.wnm_3d.transform.wnm_3d_cotrain.WNM3DTransform
|
| 390 |
+
default_instruction: Perform the default behavior.
|
| 391 |
+
language_dropout_prob: 0.0
|
| 392 |
+
always_use_default_instruction: false
|
| 393 |
+
max_state_dim: 64
|
| 394 |
+
max_action_dim: 32
|
| 395 |
+
max_length: 512
|
| 396 |
+
state_horizon: 4
|
| 397 |
+
action_horizon: 8
|
| 398 |
+
tokenizer_path: ./checkpoints/umt5-xxl
|
| 399 |
+
image_resolution_width: 320
|
| 400 |
+
image_resolution_height: 160
|
| 401 |
+
num_frames: 33
|
| 402 |
+
state_horizon: 4
|
| 403 |
+
action_horizon: 8
|
| 404 |
+
vae_temporal_stride: 4
|
| 405 |
+
max_chunk_size: 4
|
| 406 |
+
video_frame_stride: 1
|
| 407 |
+
action_frame_stride: 1
|
| 408 |
+
history_sampling: uniform
|
| 409 |
+
interiorgs_data_root: ./data/interiorgs_lerobot_seen
|
| 410 |
+
modality_config_interiorgs:
|
| 411 |
+
video:
|
| 412 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 413 |
+
delta_indices: []
|
| 414 |
+
eval_delta_indices:
|
| 415 |
+
- 0
|
| 416 |
+
modality_keys:
|
| 417 |
+
- video.rgb
|
| 418 |
+
state:
|
| 419 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 420 |
+
delta_indices: []
|
| 421 |
+
modality_keys:
|
| 422 |
+
- state.nav_pose
|
| 423 |
+
action:
|
| 424 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 425 |
+
delta_indices: []
|
| 426 |
+
modality_keys:
|
| 427 |
+
- action.nav_delta
|
| 428 |
+
language:
|
| 429 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 430 |
+
delta_indices:
|
| 431 |
+
- 0
|
| 432 |
+
modality_keys:
|
| 433 |
+
- annotation.language.language_instruction
|
| 434 |
+
transform_interiorgs:
|
| 435 |
+
_target_: gammanav.vln.data.transform.ComposedModalityTransform
|
| 436 |
+
transforms:
|
| 437 |
+
- _target_: gammanav.vln.data.transform.VideoToTensor
|
| 438 |
+
apply_to:
|
| 439 |
+
- video.rgb
|
| 440 |
+
- _target_: gammanav.vln.data.transform.VideoCrop
|
| 441 |
+
apply_to:
|
| 442 |
+
- video.rgb
|
| 443 |
+
scale: 0.95
|
| 444 |
+
mode: random
|
| 445 |
+
- _target_: gammanav.vln.data.transform.VideoResize
|
| 446 |
+
apply_to:
|
| 447 |
+
- video.rgb
|
| 448 |
+
height: 160
|
| 449 |
+
width: 320
|
| 450 |
+
interpolation: linear
|
| 451 |
+
- _target_: gammanav.vln.data.transform.VideoColorJitter
|
| 452 |
+
apply_to:
|
| 453 |
+
- video.rgb
|
| 454 |
+
brightness: 0.3
|
| 455 |
+
contrast: 0.4
|
| 456 |
+
saturation: 0.5
|
| 457 |
+
hue: 0.08
|
| 458 |
+
- _target_: gammanav.vln.data.transform.VideoToNumpy
|
| 459 |
+
apply_to:
|
| 460 |
+
- video.rgb
|
| 461 |
+
- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 462 |
+
apply_to:
|
| 463 |
+
- state.nav_pose
|
| 464 |
+
- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 465 |
+
apply_to:
|
| 466 |
+
- state.nav_pose
|
| 467 |
+
normalization_modes:
|
| 468 |
+
state.nav_pose: q99
|
| 469 |
+
- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 470 |
+
apply_to:
|
| 471 |
+
- action.nav_delta
|
| 472 |
+
- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 473 |
+
apply_to:
|
| 474 |
+
- action.nav_delta
|
| 475 |
+
normalization_modes:
|
| 476 |
+
action.nav_delta: q99
|
| 477 |
+
- _target_: gammanav.vln.data.transform.ConcatTransform
|
| 478 |
+
video_concat_order:
|
| 479 |
+
- video.rgb
|
| 480 |
+
state_concat_order:
|
| 481 |
+
- state.nav_pose
|
| 482 |
+
action_concat_order:
|
| 483 |
+
- action.nav_delta
|
| 484 |
+
- _target_: gammanav.vln.model.wnm_3d.transform.wnm_3d_cotrain.WNM3DTransform
|
| 485 |
+
default_instruction: Perform the default behavior.
|
| 486 |
+
language_dropout_prob: 0.0
|
| 487 |
+
always_use_default_instruction: false
|
| 488 |
+
max_state_dim: 64
|
| 489 |
+
max_action_dim: 32
|
| 490 |
+
max_length: 512
|
| 491 |
+
state_horizon: 4
|
| 492 |
+
action_horizon: 8
|
| 493 |
+
tokenizer_path: ./checkpoints/umt5-xxl
|
| 494 |
+
modality_configs:
|
| 495 |
+
interiorgs:
|
| 496 |
+
video:
|
| 497 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 498 |
+
delta_indices: []
|
| 499 |
+
eval_delta_indices:
|
| 500 |
+
- 0
|
| 501 |
+
modality_keys:
|
| 502 |
+
- video.rgb
|
| 503 |
+
state:
|
| 504 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 505 |
+
delta_indices: []
|
| 506 |
+
modality_keys:
|
| 507 |
+
- state.nav_pose
|
| 508 |
+
action:
|
| 509 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 510 |
+
delta_indices: []
|
| 511 |
+
modality_keys:
|
| 512 |
+
- action.nav_delta
|
| 513 |
+
language:
|
| 514 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 515 |
+
delta_indices:
|
| 516 |
+
- 0
|
| 517 |
+
modality_keys:
|
| 518 |
+
- annotation.language.language_instruction
|
| 519 |
+
transforms:
|
| 520 |
+
interiorgs:
|
| 521 |
+
_target_: gammanav.vln.data.transform.ComposedModalityTransform
|
| 522 |
+
transforms:
|
| 523 |
+
- _target_: gammanav.vln.data.transform.VideoToTensor
|
| 524 |
+
apply_to:
|
| 525 |
+
- video.rgb
|
| 526 |
+
- _target_: gammanav.vln.data.transform.VideoCrop
|
| 527 |
+
apply_to:
|
| 528 |
+
- video.rgb
|
| 529 |
+
scale: 0.95
|
| 530 |
+
mode: random
|
| 531 |
+
- _target_: gammanav.vln.data.transform.VideoResize
|
| 532 |
+
apply_to:
|
| 533 |
+
- video.rgb
|
| 534 |
+
height: 160
|
| 535 |
+
width: 320
|
| 536 |
+
interpolation: linear
|
| 537 |
+
- _target_: gammanav.vln.data.transform.VideoColorJitter
|
| 538 |
+
apply_to:
|
| 539 |
+
- video.rgb
|
| 540 |
+
brightness: 0.3
|
| 541 |
+
contrast: 0.4
|
| 542 |
+
saturation: 0.5
|
| 543 |
+
hue: 0.08
|
| 544 |
+
- _target_: gammanav.vln.data.transform.VideoToNumpy
|
| 545 |
+
apply_to:
|
| 546 |
+
- video.rgb
|
| 547 |
+
- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 548 |
+
apply_to:
|
| 549 |
+
- state.nav_pose
|
| 550 |
+
- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 551 |
+
apply_to:
|
| 552 |
+
- state.nav_pose
|
| 553 |
+
normalization_modes:
|
| 554 |
+
state.nav_pose: q99
|
| 555 |
+
- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 556 |
+
apply_to:
|
| 557 |
+
- action.nav_delta
|
| 558 |
+
- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 559 |
+
apply_to:
|
| 560 |
+
- action.nav_delta
|
| 561 |
+
normalization_modes:
|
| 562 |
+
action.nav_delta: q99
|
| 563 |
+
- _target_: gammanav.vln.data.transform.ConcatTransform
|
| 564 |
+
video_concat_order:
|
| 565 |
+
- video.rgb
|
| 566 |
+
state_concat_order:
|
| 567 |
+
- state.nav_pose
|
| 568 |
+
action_concat_order:
|
| 569 |
+
- action.nav_delta
|
| 570 |
+
- _target_: gammanav.vln.model.wnm_3d.transform.wnm_3d_cotrain.WNM3DTransform
|
| 571 |
+
default_instruction: Perform the default behavior.
|
| 572 |
+
language_dropout_prob: 0.0
|
| 573 |
+
always_use_default_instruction: false
|
| 574 |
+
max_state_dim: 64
|
| 575 |
+
max_action_dim: 32
|
| 576 |
+
max_length: 512
|
| 577 |
+
state_horizon: 4
|
| 578 |
+
action_horizon: 8
|
| 579 |
+
tokenizer_path: ./checkpoints/umt5-xxl
|
| 580 |
+
mixture_dataset_cls: gammanav.vln.data.dataset.lerobot.LeRobotMixtureDataset.from_mixture_spec
|
| 581 |
+
single_dataset_cls: gammanav.vln.data.dataset.lerobot_sharded.ShardedLeRobotSingleActionChunkDatasetInteriorGS
|
| 582 |
+
total_training_steps: 89725000
|
wnm_3d_stage1/experiment_cfg/metadata.json
ADDED
|
@@ -0,0 +1,107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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wnm_3d_stage2/experiment_cfg/conf.yaml
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|
| 1 |
+
model:
|
| 2 |
+
_target_: gammanav.vln.model.wnm_3d.model.WNM3DModel
|
| 3 |
+
_convert_: object
|
| 4 |
+
config:
|
| 5 |
+
_target_: gammanav.vln.model.wnm_3d.model.WNM3DConfig
|
| 6 |
+
_recursive_: false
|
| 7 |
+
model_dtype: float32
|
| 8 |
+
hidden_size: 0
|
| 9 |
+
action_horizon: 8
|
| 10 |
+
action_dim: 32
|
| 11 |
+
backbone_cfg:
|
| 12 |
+
_target_: gammanav.vln.model.wnm_3d.backbone.identity.IdentityBackbone
|
| 13 |
+
action_head_cfg:
|
| 14 |
+
config:
|
| 15 |
+
backbone_features_projector_cfg: null
|
| 16 |
+
_target_: gammanav.vln.model.wnm_3d.action_head.wan_flow_matching_action_tf.WANPolicyHeadConfig
|
| 17 |
+
_recursive_: false
|
| 18 |
+
tiled: false
|
| 19 |
+
tile_size_height: 34
|
| 20 |
+
tile_size_width: 34
|
| 21 |
+
tile_stride_height: 18
|
| 22 |
+
tile_stride_width: 16
|
| 23 |
+
lora_rank: 4
|
| 24 |
+
lora_alpha: 4
|
| 25 |
+
num_frames: 33
|
| 26 |
+
num_frame_per_block: 2
|
| 27 |
+
lora_target_modules: q,k,v,o,ffn.0,ffn.2
|
| 28 |
+
init_lora_weights: kaiming
|
| 29 |
+
train_architecture: full
|
| 30 |
+
use_vggt_geometry_adapter: true
|
| 31 |
+
vggt_checkpoint_path: ./checkpoints/vggt_omega_1b_512.pt
|
| 32 |
+
vggt_image_resolution: 512
|
| 33 |
+
vggt_resize_mode: square
|
| 34 |
+
vggt_adapter_dim: 512
|
| 35 |
+
vggt_adapter_blocks: 2
|
| 36 |
+
vggt_adapter_heads: 8
|
| 37 |
+
max_state_dim: 64
|
| 38 |
+
max_action_dim: 32
|
| 39 |
+
diffusion_model_cfg:
|
| 40 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_dit_action_casual_chunk.CausalWanModel
|
| 41 |
+
_convert_: object
|
| 42 |
+
diffusion_model_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B
|
| 43 |
+
model_type: ti2v
|
| 44 |
+
frame_seqlen: 50
|
| 45 |
+
dim: 3072
|
| 46 |
+
in_dim: 48
|
| 47 |
+
ffn_dim: 14336
|
| 48 |
+
out_dim: 48
|
| 49 |
+
freq_dim: 256
|
| 50 |
+
eps: 1.0e-06
|
| 51 |
+
num_heads: 24
|
| 52 |
+
num_layers: 30
|
| 53 |
+
max_chunk_size: 4
|
| 54 |
+
num_frame_per_block: 2
|
| 55 |
+
num_action_per_block: 8
|
| 56 |
+
num_state_per_block: 1
|
| 57 |
+
concat_first_frame_latent: false
|
| 58 |
+
text_encoder_cfg:
|
| 59 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_text_encoder.WanTextEncoder
|
| 60 |
+
_convert_: object
|
| 61 |
+
text_encoder_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/models_t5_umt5-xxl-enc-bf16.pth
|
| 62 |
+
image_encoder_cfg:
|
| 63 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_image_encoder.WanImageEncoder
|
| 64 |
+
_convert_: object
|
| 65 |
+
image_encoder_pretrained_path: ./checkpoints/Wan2.1-I2V-14B-480P/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth
|
| 66 |
+
vae_cfg:
|
| 67 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_vae.WanVideoVAE38
|
| 68 |
+
_convert_: object
|
| 69 |
+
vae_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth
|
| 70 |
+
z_dim: 48
|
| 71 |
+
dim: 160
|
| 72 |
+
action_dim: 32
|
| 73 |
+
action_horizon: 8
|
| 74 |
+
num_inference_timesteps: 4
|
| 75 |
+
decouple_video_action_noise: false
|
| 76 |
+
video_noise_beta_alpha: 3.0
|
| 77 |
+
video_noise_beta_beta: 1.0
|
| 78 |
+
tune_projector: true
|
| 79 |
+
tune_diffusion_model: true
|
| 80 |
+
target_video_height: 160
|
| 81 |
+
target_video_width: 320
|
| 82 |
+
_target_: gammanav.vln.model.wnm_3d.action_head.wan_flow_matching_action_tf.WANPolicyHead
|
| 83 |
+
_convert_: object
|
| 84 |
+
train_dataset:
|
| 85 |
+
_target_: gammanav.vln.data.dataset.lerobot.LeRobotMixtureDataset.from_mixture_spec
|
| 86 |
+
_convert_: object
|
| 87 |
+
mixture_spec:
|
| 88 |
+
- dataset_path:
|
| 89 |
+
interiorgs:
|
| 90 |
+
- ./data/interiorgs_dagger_vggt_stage2
|
| 91 |
+
dataset_weight: 1.0
|
| 92 |
+
distribute_weights: true
|
| 93 |
+
dataset_class: gammanav.vln.data.dataset.lerobot_sharded.ShardedLeRobotSingleActionChunkDatasetInteriorGS
|
| 94 |
+
all_modality_configs:
|
| 95 |
+
interiorgs:
|
| 96 |
+
video:
|
| 97 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 98 |
+
delta_indices: []
|
| 99 |
+
eval_delta_indices:
|
| 100 |
+
- 0
|
| 101 |
+
modality_keys:
|
| 102 |
+
- video.rgb
|
| 103 |
+
state:
|
| 104 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 105 |
+
delta_indices: []
|
| 106 |
+
modality_keys:
|
| 107 |
+
- state.nav_pose
|
| 108 |
+
action:
|
| 109 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 110 |
+
delta_indices: []
|
| 111 |
+
modality_keys:
|
| 112 |
+
- action.nav_delta
|
| 113 |
+
language:
|
| 114 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 115 |
+
delta_indices:
|
| 116 |
+
- 0
|
| 117 |
+
modality_keys:
|
| 118 |
+
- annotation.language.language_instruction
|
| 119 |
+
all_transforms:
|
| 120 |
+
interiorgs:
|
| 121 |
+
_target_: gammanav.vln.data.transform.ComposedModalityTransform
|
| 122 |
+
transforms:
|
| 123 |
+
- _target_: gammanav.vln.data.transform.VideoToTensor
|
| 124 |
+
apply_to:
|
| 125 |
+
- video.rgb
|
| 126 |
+
- _target_: gammanav.vln.data.transform.VideoCrop
|
| 127 |
+
apply_to:
|
| 128 |
+
- video.rgb
|
| 129 |
+
scale: 0.95
|
| 130 |
+
mode: random
|
| 131 |
+
- _target_: gammanav.vln.data.transform.VideoResize
|
| 132 |
+
apply_to:
|
| 133 |
+
- video.rgb
|
| 134 |
+
height: 160
|
| 135 |
+
width: 320
|
| 136 |
+
interpolation: linear
|
| 137 |
+
- _target_: gammanav.vln.data.transform.VideoColorJitter
|
| 138 |
+
apply_to:
|
| 139 |
+
- video.rgb
|
| 140 |
+
brightness: 0.3
|
| 141 |
+
contrast: 0.4
|
| 142 |
+
saturation: 0.5
|
| 143 |
+
hue: 0.08
|
| 144 |
+
- _target_: gammanav.vln.data.transform.VideoToNumpy
|
| 145 |
+
apply_to:
|
| 146 |
+
- video.rgb
|
| 147 |
+
- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 148 |
+
apply_to:
|
| 149 |
+
- state.nav_pose
|
| 150 |
+
- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 151 |
+
apply_to:
|
| 152 |
+
- state.nav_pose
|
| 153 |
+
normalization_modes:
|
| 154 |
+
state.nav_pose: q99
|
| 155 |
+
- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 156 |
+
apply_to:
|
| 157 |
+
- action.nav_delta
|
| 158 |
+
- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 159 |
+
apply_to:
|
| 160 |
+
- action.nav_delta
|
| 161 |
+
normalization_modes:
|
| 162 |
+
action.nav_delta: q99
|
| 163 |
+
- _target_: gammanav.vln.data.transform.ConcatTransform
|
| 164 |
+
video_concat_order:
|
| 165 |
+
- video.rgb
|
| 166 |
+
state_concat_order:
|
| 167 |
+
- state.nav_pose
|
| 168 |
+
action_concat_order:
|
| 169 |
+
- action.nav_delta
|
| 170 |
+
- _target_: gammanav.vln.model.wnm_3d.transform.wnm_3d_cotrain.WNM3DTransform
|
| 171 |
+
default_instruction: Perform the default behavior.
|
| 172 |
+
language_dropout_prob: 0.0
|
| 173 |
+
always_use_default_instruction: false
|
| 174 |
+
max_state_dim: 64
|
| 175 |
+
max_action_dim: 32
|
| 176 |
+
max_length: 512
|
| 177 |
+
state_horizon: 4
|
| 178 |
+
action_horizon: 8
|
| 179 |
+
tokenizer_path: ./checkpoints/umt5-xxl
|
| 180 |
+
dataset_kwargs:
|
| 181 |
+
max_chunk_size: 4
|
| 182 |
+
num_frames: 33
|
| 183 |
+
action_horizon: 8
|
| 184 |
+
state_horizon: 4
|
| 185 |
+
num_frame_per_block: 2
|
| 186 |
+
num_action_per_block: 8
|
| 187 |
+
num_state_per_block: 1
|
| 188 |
+
vae_temporal_stride: 4
|
| 189 |
+
video_frame_stride: 1
|
| 190 |
+
action_frame_stride: 1
|
| 191 |
+
history_sampling: uniform
|
| 192 |
+
nav_action_scale: 4.0
|
| 193 |
+
nav_smooth_window: 7
|
| 194 |
+
nav_smooth_passes: 2
|
| 195 |
+
compute_statistics: true
|
| 196 |
+
max_stats_episodes: 512
|
| 197 |
+
stats_start_stride: 16
|
| 198 |
+
mixture_kwargs:
|
| 199 |
+
training: true
|
| 200 |
+
balance_dataset_weights: false
|
| 201 |
+
balance_trajectory_weights: true
|
| 202 |
+
seed: 42
|
| 203 |
+
allow_padding_at_end: true
|
| 204 |
+
trainer:
|
| 205 |
+
_target_: gammanav.vln.experiment.VLNTrainer
|
| 206 |
+
_partial_: true
|
| 207 |
+
_recursive_: false
|
| 208 |
+
callbacks: null
|
| 209 |
+
model: ???
|
| 210 |
+
train_dataset: ???
|
| 211 |
+
compute_dtype: ???
|
| 212 |
+
wandb_project: wnm_3d
|
| 213 |
+
output_dir: ./checkpoints/wnm_3d_stage2
|
| 214 |
+
load_from_yaml: null
|
| 215 |
+
remove_unused_columns: false
|
| 216 |
+
bf16: true
|
| 217 |
+
tf32: true
|
| 218 |
+
global_batch_size: 192
|
| 219 |
+
raise_error_if_global_batch_size_not_set: false
|
| 220 |
+
per_device_train_batch_size: 12
|
| 221 |
+
per_device_eval_batch_size: 64
|
| 222 |
+
gradient_accumulation_steps: 1
|
| 223 |
+
dataloader_num_workers: 4
|
| 224 |
+
dataloader_pin_memory: false
|
| 225 |
+
dataloader_persistent_workers: true
|
| 226 |
+
optim: adamw_torch
|
| 227 |
+
learning_rate: 0.0001
|
| 228 |
+
adam_beta1: 0.95
|
| 229 |
+
adam_beta2: 0.999
|
| 230 |
+
adam_epsilon: 1.0e-08
|
| 231 |
+
weight_decay: 1.0e-05
|
| 232 |
+
lr_scheduler_type: cosine
|
| 233 |
+
warmup_ratio: 0.05
|
| 234 |
+
logging_steps: 10
|
| 235 |
+
num_train_epochs: 1000
|
| 236 |
+
max_steps: 35000
|
| 237 |
+
save_strategy: steps
|
| 238 |
+
save_steps: 1000
|
| 239 |
+
eval_strategy: 'no'
|
| 240 |
+
save_total_limit: 10
|
| 241 |
+
report_to: tensorboard
|
| 242 |
+
seed: 42
|
| 243 |
+
do_eval: false
|
| 244 |
+
gradient_checkpointing: false
|
| 245 |
+
ddp_find_unused_parameters: false
|
| 246 |
+
ddp_bucket_cap_mb: 100
|
| 247 |
+
eval_bf16: true
|
| 248 |
+
torch_compile_mode: null
|
| 249 |
+
pretrained_model_path: ./checkpoints/wnm_3d_stage1
|
| 250 |
+
save_lora_only: false
|
| 251 |
+
training_args:
|
| 252 |
+
_target_: transformers.TrainingArguments
|
| 253 |
+
output_dir: ./checkpoints/wnm_3d_stage2
|
| 254 |
+
run_name: wnm_3d_stage2
|
| 255 |
+
remove_unused_columns: false
|
| 256 |
+
deepspeed: gammanav/vln/configs/deepspeed/zero2.json
|
| 257 |
+
gradient_checkpointing: false
|
| 258 |
+
bf16: true
|
| 259 |
+
tf32: true
|
| 260 |
+
per_device_train_batch_size: 12
|
| 261 |
+
per_device_eval_batch_size: 64
|
| 262 |
+
gradient_accumulation_steps: 1
|
| 263 |
+
dataloader_num_workers: 4
|
| 264 |
+
dataloader_pin_memory: false
|
| 265 |
+
dataloader_persistent_workers: true
|
| 266 |
+
optim: adamw_torch
|
| 267 |
+
adam_beta1: 0.95
|
| 268 |
+
adam_beta2: 0.999
|
| 269 |
+
adam_epsilon: 1.0e-08
|
| 270 |
+
learning_rate: 1.0e-05
|
| 271 |
+
weight_decay: 1.0e-05
|
| 272 |
+
warmup_ratio: 0.05
|
| 273 |
+
lr_scheduler_type: cosine
|
| 274 |
+
logging_steps: 10
|
| 275 |
+
num_train_epochs: 1000
|
| 276 |
+
max_steps: 35000
|
| 277 |
+
save_strategy: steps
|
| 278 |
+
save_steps: 1000
|
| 279 |
+
save_total_limit: 10
|
| 280 |
+
report_to: tensorboard
|
| 281 |
+
seed: 42
|
| 282 |
+
do_eval: false
|
| 283 |
+
ddp_find_unused_parameters: false
|
| 284 |
+
ddp_bucket_cap_mb: 100
|
| 285 |
+
torch_compile_mode: null
|
| 286 |
+
logging_dir: ./checkpoints/wnm_3d_stage2/tensorboard
|
| 287 |
+
backbone_hidden_size: 0
|
| 288 |
+
backbone_cfg:
|
| 289 |
+
_target_: gammanav.vln.model.wnm_3d.backbone.identity.IdentityBackbone
|
| 290 |
+
action_head_cfg:
|
| 291 |
+
config:
|
| 292 |
+
backbone_features_projector_cfg: null
|
| 293 |
+
_target_: gammanav.vln.model.wnm_3d.action_head.wan_flow_matching_action_tf.WANPolicyHeadConfig
|
| 294 |
+
_recursive_: false
|
| 295 |
+
tiled: false
|
| 296 |
+
tile_size_height: 34
|
| 297 |
+
tile_size_width: 34
|
| 298 |
+
tile_stride_height: 18
|
| 299 |
+
tile_stride_width: 16
|
| 300 |
+
lora_rank: 4
|
| 301 |
+
lora_alpha: 4
|
| 302 |
+
num_frames: 33
|
| 303 |
+
num_frame_per_block: 2
|
| 304 |
+
lora_target_modules: q,k,v,o,ffn.0,ffn.2
|
| 305 |
+
init_lora_weights: kaiming
|
| 306 |
+
train_architecture: full
|
| 307 |
+
use_vggt_geometry_adapter: true
|
| 308 |
+
vggt_checkpoint_path: ./checkpoints/vggt_omega_1b_512.pt
|
| 309 |
+
vggt_image_resolution: 512
|
| 310 |
+
vggt_resize_mode: square
|
| 311 |
+
vggt_adapter_dim: 512
|
| 312 |
+
vggt_adapter_blocks: 2
|
| 313 |
+
vggt_adapter_heads: 8
|
| 314 |
+
max_state_dim: 64
|
| 315 |
+
max_action_dim: 32
|
| 316 |
+
diffusion_model_cfg:
|
| 317 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_dit_action_casual_chunk.CausalWanModel
|
| 318 |
+
_convert_: object
|
| 319 |
+
diffusion_model_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B
|
| 320 |
+
model_type: ti2v
|
| 321 |
+
frame_seqlen: 50
|
| 322 |
+
dim: 3072
|
| 323 |
+
in_dim: 48
|
| 324 |
+
ffn_dim: 14336
|
| 325 |
+
out_dim: 48
|
| 326 |
+
freq_dim: 256
|
| 327 |
+
eps: 1.0e-06
|
| 328 |
+
num_heads: 24
|
| 329 |
+
num_layers: 30
|
| 330 |
+
max_chunk_size: 4
|
| 331 |
+
num_frame_per_block: 2
|
| 332 |
+
num_action_per_block: 8
|
| 333 |
+
num_state_per_block: 1
|
| 334 |
+
concat_first_frame_latent: false
|
| 335 |
+
text_encoder_cfg:
|
| 336 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_text_encoder.WanTextEncoder
|
| 337 |
+
_convert_: object
|
| 338 |
+
text_encoder_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/models_t5_umt5-xxl-enc-bf16.pth
|
| 339 |
+
image_encoder_cfg:
|
| 340 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_image_encoder.WanImageEncoder
|
| 341 |
+
_convert_: object
|
| 342 |
+
image_encoder_pretrained_path: ./checkpoints/Wan2.1-I2V-14B-480P/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth
|
| 343 |
+
vae_cfg:
|
| 344 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_vae.WanVideoVAE38
|
| 345 |
+
_convert_: object
|
| 346 |
+
vae_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth
|
| 347 |
+
z_dim: 48
|
| 348 |
+
dim: 160
|
| 349 |
+
action_dim: 32
|
| 350 |
+
action_horizon: 8
|
| 351 |
+
num_inference_timesteps: 4
|
| 352 |
+
decouple_video_action_noise: false
|
| 353 |
+
video_noise_beta_alpha: 3.0
|
| 354 |
+
video_noise_beta_beta: 1.0
|
| 355 |
+
tune_projector: true
|
| 356 |
+
tune_diffusion_model: true
|
| 357 |
+
target_video_height: 160
|
| 358 |
+
target_video_width: 320
|
| 359 |
+
_target_: gammanav.vln.model.wnm_3d.action_head.wan_flow_matching_action_tf.WANPolicyHead
|
| 360 |
+
_convert_: object
|
| 361 |
+
dit_version: ./checkpoints/Wan2.2-TI2V-5B
|
| 362 |
+
text_encoder_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/models_t5_umt5-xxl-enc-bf16.pth
|
| 363 |
+
image_encoder_pretrained_path: ./checkpoints/Wan2.1-I2V-14B-480P/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth
|
| 364 |
+
vae_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth
|
| 365 |
+
train_architecture: full
|
| 366 |
+
num_frame_per_block: 2
|
| 367 |
+
num_action_per_block: 8
|
| 368 |
+
num_state_per_block: 1
|
| 369 |
+
frame_seqlen: 50
|
| 370 |
+
use_vggt_geometry_adapter: true
|
| 371 |
+
vggt_omega_checkpoint_path: ./checkpoints/vggt_omega_1b_512.pt
|
| 372 |
+
vggt_image_resolution: 512
|
| 373 |
+
vggt_resize_mode: square
|
| 374 |
+
vggt_adapter_dim: 512
|
| 375 |
+
vggt_adapter_blocks: 2
|
| 376 |
+
vggt_adapter_heads: 8
|
| 377 |
+
max_length: 512
|
| 378 |
+
tokenizer_path: ./checkpoints/umt5-xxl
|
| 379 |
+
data_collator:
|
| 380 |
+
_target_: gammanav.vln.model.wnm_3d.transform.wnm_3d_cotrain.DefaultDataCollator
|
| 381 |
+
tokenizer_path: ./checkpoints/umt5-xxl
|
| 382 |
+
max_length: 512
|
| 383 |
+
num_visual_tokens_per_frame: 16
|
| 384 |
+
max_state_dim: 64
|
| 385 |
+
max_action_dim: 32
|
| 386 |
+
language_dropout_prob: 0.0
|
| 387 |
+
model_specific_transform:
|
| 388 |
+
_target_: gammanav.vln.model.wnm_3d.transform.wnm_3d_cotrain.WNM3DTransform
|
| 389 |
+
default_instruction: Perform the default behavior.
|
| 390 |
+
language_dropout_prob: 0.0
|
| 391 |
+
always_use_default_instruction: false
|
| 392 |
+
max_state_dim: 64
|
| 393 |
+
max_action_dim: 32
|
| 394 |
+
max_length: 512
|
| 395 |
+
state_horizon: 4
|
| 396 |
+
action_horizon: 8
|
| 397 |
+
tokenizer_path: ./checkpoints/umt5-xxl
|
| 398 |
+
image_resolution_width: 320
|
| 399 |
+
image_resolution_height: 160
|
| 400 |
+
num_frames: 33
|
| 401 |
+
state_horizon: 4
|
| 402 |
+
action_horizon: 8
|
| 403 |
+
vae_temporal_stride: 4
|
| 404 |
+
max_chunk_size: 4
|
| 405 |
+
video_frame_stride: 1
|
| 406 |
+
action_frame_stride: 1
|
| 407 |
+
history_sampling: uniform
|
| 408 |
+
interiorgs_data_root: ./data/interiorgs_dagger_vggt_stage2
|
| 409 |
+
modality_config_interiorgs:
|
| 410 |
+
video:
|
| 411 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 412 |
+
delta_indices: []
|
| 413 |
+
eval_delta_indices:
|
| 414 |
+
- 0
|
| 415 |
+
modality_keys:
|
| 416 |
+
- video.rgb
|
| 417 |
+
state:
|
| 418 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 419 |
+
delta_indices: []
|
| 420 |
+
modality_keys:
|
| 421 |
+
- state.nav_pose
|
| 422 |
+
action:
|
| 423 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 424 |
+
delta_indices: []
|
| 425 |
+
modality_keys:
|
| 426 |
+
- action.nav_delta
|
| 427 |
+
language:
|
| 428 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 429 |
+
delta_indices:
|
| 430 |
+
- 0
|
| 431 |
+
modality_keys:
|
| 432 |
+
- annotation.language.language_instruction
|
| 433 |
+
transform_interiorgs:
|
| 434 |
+
_target_: gammanav.vln.data.transform.ComposedModalityTransform
|
| 435 |
+
transforms:
|
| 436 |
+
- _target_: gammanav.vln.data.transform.VideoToTensor
|
| 437 |
+
apply_to:
|
| 438 |
+
- video.rgb
|
| 439 |
+
- _target_: gammanav.vln.data.transform.VideoCrop
|
| 440 |
+
apply_to:
|
| 441 |
+
- video.rgb
|
| 442 |
+
scale: 0.95
|
| 443 |
+
mode: random
|
| 444 |
+
- _target_: gammanav.vln.data.transform.VideoResize
|
| 445 |
+
apply_to:
|
| 446 |
+
- video.rgb
|
| 447 |
+
height: 160
|
| 448 |
+
width: 320
|
| 449 |
+
interpolation: linear
|
| 450 |
+
- _target_: gammanav.vln.data.transform.VideoColorJitter
|
| 451 |
+
apply_to:
|
| 452 |
+
- video.rgb
|
| 453 |
+
brightness: 0.3
|
| 454 |
+
contrast: 0.4
|
| 455 |
+
saturation: 0.5
|
| 456 |
+
hue: 0.08
|
| 457 |
+
- _target_: gammanav.vln.data.transform.VideoToNumpy
|
| 458 |
+
apply_to:
|
| 459 |
+
- video.rgb
|
| 460 |
+
- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 461 |
+
apply_to:
|
| 462 |
+
- state.nav_pose
|
| 463 |
+
- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 464 |
+
apply_to:
|
| 465 |
+
- state.nav_pose
|
| 466 |
+
normalization_modes:
|
| 467 |
+
state.nav_pose: q99
|
| 468 |
+
- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 469 |
+
apply_to:
|
| 470 |
+
- action.nav_delta
|
| 471 |
+
- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 472 |
+
apply_to:
|
| 473 |
+
- action.nav_delta
|
| 474 |
+
normalization_modes:
|
| 475 |
+
action.nav_delta: q99
|
| 476 |
+
- _target_: gammanav.vln.data.transform.ConcatTransform
|
| 477 |
+
video_concat_order:
|
| 478 |
+
- video.rgb
|
| 479 |
+
state_concat_order:
|
| 480 |
+
- state.nav_pose
|
| 481 |
+
action_concat_order:
|
| 482 |
+
- action.nav_delta
|
| 483 |
+
- _target_: gammanav.vln.model.wnm_3d.transform.wnm_3d_cotrain.WNM3DTransform
|
| 484 |
+
default_instruction: Perform the default behavior.
|
| 485 |
+
language_dropout_prob: 0.0
|
| 486 |
+
always_use_default_instruction: false
|
| 487 |
+
max_state_dim: 64
|
| 488 |
+
max_action_dim: 32
|
| 489 |
+
max_length: 512
|
| 490 |
+
state_horizon: 4
|
| 491 |
+
action_horizon: 8
|
| 492 |
+
tokenizer_path: ./checkpoints/umt5-xxl
|
| 493 |
+
modality_configs:
|
| 494 |
+
interiorgs:
|
| 495 |
+
video:
|
| 496 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 497 |
+
delta_indices: []
|
| 498 |
+
eval_delta_indices:
|
| 499 |
+
- 0
|
| 500 |
+
modality_keys:
|
| 501 |
+
- video.rgb
|
| 502 |
+
state:
|
| 503 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 504 |
+
delta_indices: []
|
| 505 |
+
modality_keys:
|
| 506 |
+
- state.nav_pose
|
| 507 |
+
action:
|
| 508 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 509 |
+
delta_indices: []
|
| 510 |
+
modality_keys:
|
| 511 |
+
- action.nav_delta
|
| 512 |
+
language:
|
| 513 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 514 |
+
delta_indices:
|
| 515 |
+
- 0
|
| 516 |
+
modality_keys:
|
| 517 |
+
- annotation.language.language_instruction
|
| 518 |
+
transforms:
|
| 519 |
+
interiorgs:
|
| 520 |
+
_target_: gammanav.vln.data.transform.ComposedModalityTransform
|
| 521 |
+
transforms:
|
| 522 |
+
- _target_: gammanav.vln.data.transform.VideoToTensor
|
| 523 |
+
apply_to:
|
| 524 |
+
- video.rgb
|
| 525 |
+
- _target_: gammanav.vln.data.transform.VideoCrop
|
| 526 |
+
apply_to:
|
| 527 |
+
- video.rgb
|
| 528 |
+
scale: 0.95
|
| 529 |
+
mode: random
|
| 530 |
+
- _target_: gammanav.vln.data.transform.VideoResize
|
| 531 |
+
apply_to:
|
| 532 |
+
- video.rgb
|
| 533 |
+
height: 160
|
| 534 |
+
width: 320
|
| 535 |
+
interpolation: linear
|
| 536 |
+
- _target_: gammanav.vln.data.transform.VideoColorJitter
|
| 537 |
+
apply_to:
|
| 538 |
+
- video.rgb
|
| 539 |
+
brightness: 0.3
|
| 540 |
+
contrast: 0.4
|
| 541 |
+
saturation: 0.5
|
| 542 |
+
hue: 0.08
|
| 543 |
+
- _target_: gammanav.vln.data.transform.VideoToNumpy
|
| 544 |
+
apply_to:
|
| 545 |
+
- video.rgb
|
| 546 |
+
- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 547 |
+
apply_to:
|
| 548 |
+
- state.nav_pose
|
| 549 |
+
- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 550 |
+
apply_to:
|
| 551 |
+
- state.nav_pose
|
| 552 |
+
normalization_modes:
|
| 553 |
+
state.nav_pose: q99
|
| 554 |
+
- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 555 |
+
apply_to:
|
| 556 |
+
- action.nav_delta
|
| 557 |
+
- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 558 |
+
apply_to:
|
| 559 |
+
- action.nav_delta
|
| 560 |
+
normalization_modes:
|
| 561 |
+
action.nav_delta: q99
|
| 562 |
+
- _target_: gammanav.vln.data.transform.ConcatTransform
|
| 563 |
+
video_concat_order:
|
| 564 |
+
- video.rgb
|
| 565 |
+
state_concat_order:
|
| 566 |
+
- state.nav_pose
|
| 567 |
+
action_concat_order:
|
| 568 |
+
- action.nav_delta
|
| 569 |
+
- _target_: gammanav.vln.model.wnm_3d.transform.wnm_3d_cotrain.WNM3DTransform
|
| 570 |
+
default_instruction: Perform the default behavior.
|
| 571 |
+
language_dropout_prob: 0.0
|
| 572 |
+
always_use_default_instruction: false
|
| 573 |
+
max_state_dim: 64
|
| 574 |
+
max_action_dim: 32
|
| 575 |
+
max_length: 512
|
| 576 |
+
state_horizon: 4
|
| 577 |
+
action_horizon: 8
|
| 578 |
+
tokenizer_path: ./checkpoints/umt5-xxl
|
| 579 |
+
mixture_dataset_cls: gammanav.vln.data.dataset.lerobot.LeRobotMixtureDataset.from_mixture_spec
|
| 580 |
+
single_dataset_cls: gammanav.vln.data.dataset.lerobot_sharded.ShardedLeRobotSingleActionChunkDatasetInteriorGS
|
| 581 |
+
total_training_steps: 3298000
|
wnm_3d_stage2/experiment_cfg/metadata.json
ADDED
|
@@ -0,0 +1,107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"interiorgs": {
|
| 3 |
+
"statistics": {
|
| 4 |
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"state": {
|
| 5 |
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|
| 6 |
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"max": [
|
| 7 |
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0.0,
|
| 8 |
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0.0,
|
| 9 |
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0.0
|
| 10 |
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],
|
| 11 |
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"min": [
|
| 12 |
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0.0,
|
| 13 |
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0.0,
|
| 14 |
+
0.0
|
| 15 |
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],
|
| 16 |
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"mean": [
|
| 17 |
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0.0,
|
| 18 |
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0.0,
|
| 19 |
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0.0
|
| 20 |
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],
|
| 21 |
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"std": [
|
| 22 |
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0.0,
|
| 23 |
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0.0,
|
| 24 |
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0.0
|
| 25 |
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],
|
| 26 |
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"q01": [
|
| 27 |
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-1.0,
|
| 28 |
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-1.0,
|
| 29 |
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-1.0
|
| 30 |
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],
|
| 31 |
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"q99": [
|
| 32 |
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1.0,
|
| 33 |
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1.0,
|
| 34 |
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1.0
|
| 35 |
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]
|
| 36 |
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}
|
| 37 |
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},
|
| 38 |
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"action": {
|
| 39 |
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"nav_delta": {
|
| 40 |
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"max": [
|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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],
|
| 45 |
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"min": [
|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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],
|
| 50 |
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"mean": [
|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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],
|
| 55 |
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"std": [
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| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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],
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"q01": [
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|
| 62 |
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|
| 63 |
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|
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| 65 |
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"q99": [
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| 66 |
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|
| 67 |
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|
| 68 |
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| 69 |
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]
|
| 70 |
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}
|
| 71 |
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}
|
| 72 |
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},
|
| 73 |
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"modalities": {
|
| 74 |
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"video": {
|
| 75 |
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"rgb": {
|
| 76 |
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"resolution": [
|
| 77 |
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480,
|
| 78 |
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360
|
| 79 |
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],
|
| 80 |
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"channels": 3,
|
| 81 |
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"fps": 3.3333333333333335
|
| 82 |
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}
|
| 83 |
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},
|
| 84 |
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"state": {
|
| 85 |
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"nav_pose": {
|
| 86 |
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"absolute": false,
|
| 87 |
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"rotation_type": null,
|
| 88 |
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"shape": [
|
| 89 |
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3
|
| 90 |
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],
|
| 91 |
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"continuous": true
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"action": {
|
| 95 |
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"nav_delta": {
|
| 96 |
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"absolute": false,
|
| 97 |
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"rotation_type": null,
|
| 98 |
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"shape": [
|
| 99 |
+
3
|
| 100 |
+
],
|
| 101 |
+
"continuous": true
|
| 102 |
+
}
|
| 103 |
+
}
|
| 104 |
+
},
|
| 105 |
+
"embodiment_tag": "interiorgs"
|
| 106 |
+
}
|
| 107 |
+
}
|
wnm_3d_stage2/model-00001-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 4935816720
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wnm_3d_stage2/model-00002-of-00006.safetensors
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:3dd6a6ed2735b920badc8b58864ac567f921b5e1ab537f9c755e35e6c65ebd8c
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size 4983107552
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wnm_3d_stage2/model-00003-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb0a94dec60bd939997f292482c15eafe77f1e200843a170decc75930d1ade8a
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| 3 |
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size 4919126194
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wnm_3d_stage2/model-00004-of-00006.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:c15333979edef364d031550da4663cd7106503d1fbe6a24e24ef394493444ae9
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| 3 |
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size 4997878856
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wnm_3d_stage2/model-00005-of-00006.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:21cc0a95a40a75d4d66fe32d3da89ddc95c1275eaaad662aa5a4fe6f5a0cb788
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| 3 |
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size 4947510648
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wnm_3d_stage2/model-00006-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 2329945620
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wnm_3d_stage2/model.safetensors.index.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
wnm_3d_stage3/action_normalization.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema": "wnm_3d_action_normalization_v1",
|
| 3 |
+
"embodiment": "interiorgs",
|
| 4 |
+
"action_key": "action.nav_delta",
|
| 5 |
+
"channel_order": [
|
| 6 |
+
"dx_m",
|
| 7 |
+
"dy_m",
|
| 8 |
+
"dyaw_rad"
|
| 9 |
+
],
|
| 10 |
+
"model_action_dim": 32,
|
| 11 |
+
"action_horizon_per_chunk": 8,
|
| 12 |
+
"decoded_action_dims": 3,
|
| 13 |
+
"normalization_mode": "q99",
|
| 14 |
+
"normalized_reference_range": [
|
| 15 |
+
-1.0,
|
| 16 |
+
1.0
|
| 17 |
+
],
|
| 18 |
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"q01": [
|
| 19 |
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|
| 20 |
+
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|
| 21 |
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|
| 22 |
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],
|
| 23 |
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"q99": [
|
| 24 |
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|
| 25 |
+
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|
| 26 |
+
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|
| 27 |
+
],
|
| 28 |
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"nav_action_scale": 4.0,
|
| 29 |
+
"physical_q01_after_scale": [
|
| 30 |
+
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|
| 31 |
+
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|
| 32 |
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|
| 33 |
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],
|
| 34 |
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"physical_q99_after_scale": [
|
| 35 |
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|
| 36 |
+
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|
| 37 |
+
0.31890228390693665
|
| 38 |
+
],
|
| 39 |
+
"decode_formula": "delta = (((action_norm[..., :3] + 1) * 0.5) * (q99 - q01) + q01) / nav_action_scale",
|
| 40 |
+
"encode_formula": "action_norm = 2 * ((delta * nav_action_scale) - q01) / (q99 - q01) - 1",
|
| 41 |
+
"decode_clamps_normalized_action": false
|
| 42 |
+
}
|
wnm_3d_stage3/config.json
ADDED
|
@@ -0,0 +1,93 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
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|
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|
|
|
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|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"action_dim": 32,
|
| 3 |
+
"action_head_cfg": {
|
| 4 |
+
"_convert_": "object",
|
| 5 |
+
"_target_": "gammanav.vln.model.wnm_3d.action_head.wan_flow_matching_action_tf.WANPolicyHead",
|
| 6 |
+
"config": {
|
| 7 |
+
"_recursive_": false,
|
| 8 |
+
"_target_": "gammanav.vln.model.wnm_3d.action_head.wan_flow_matching_action_tf.WANPolicyHeadConfig",
|
| 9 |
+
"action_dim": 32,
|
| 10 |
+
"action_horizon": 8,
|
| 11 |
+
"backbone_features_projector_cfg": null,
|
| 12 |
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"decouple_video_action_noise": false,
|
| 13 |
+
"diffusion_model_cfg": {
|
| 14 |
+
"_convert_": "object",
|
| 15 |
+
"_target_": "gammanav.vln.model.wnm_3d.modules.wan_video_dit_action_casual_chunk.CausalWanModel",
|
| 16 |
+
"concat_first_frame_latent": false,
|
| 17 |
+
"diffusion_model_pretrained_path": "./checkpoints/Wan2.2-TI2V-5B",
|
| 18 |
+
"dim": 3072,
|
| 19 |
+
"eps": 1e-06,
|
| 20 |
+
"ffn_dim": 14336,
|
| 21 |
+
"frame_seqlen": 50,
|
| 22 |
+
"freq_dim": 256,
|
| 23 |
+
"in_dim": 48,
|
| 24 |
+
"max_chunk_size": 4,
|
| 25 |
+
"model_type": "ti2v",
|
| 26 |
+
"num_action_per_block": 8,
|
| 27 |
+
"num_frame_per_block": 2,
|
| 28 |
+
"num_heads": 24,
|
| 29 |
+
"num_layers": 30,
|
| 30 |
+
"num_state_per_block": 1,
|
| 31 |
+
"out_dim": 48
|
| 32 |
+
},
|
| 33 |
+
"image_encoder_cfg": {
|
| 34 |
+
"_convert_": "object",
|
| 35 |
+
"_target_": "gammanav.vln.model.wnm_3d.modules.wan_video_image_encoder.WanImageEncoder",
|
| 36 |
+
"image_encoder_pretrained_path": "./checkpoints/Wan2.1-I2V-14B-480P/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth"
|
| 37 |
+
},
|
| 38 |
+
"init_lora_weights": "kaiming",
|
| 39 |
+
"lora_alpha": 4,
|
| 40 |
+
"lora_rank": 4,
|
| 41 |
+
"lora_target_modules": "q,k,v,o,ffn.0,ffn.2",
|
| 42 |
+
"max_action_dim": 32,
|
| 43 |
+
"max_state_dim": 64,
|
| 44 |
+
"num_frame_per_block": 2,
|
| 45 |
+
"num_frames": 33,
|
| 46 |
+
"num_inference_timesteps": 4,
|
| 47 |
+
"skip_component_loading": true,
|
| 48 |
+
"target_video_height": 160,
|
| 49 |
+
"target_video_width": 320,
|
| 50 |
+
"text_encoder_cfg": {
|
| 51 |
+
"_convert_": "object",
|
| 52 |
+
"_target_": "gammanav.vln.model.wnm_3d.modules.wan_video_text_encoder.WanTextEncoder",
|
| 53 |
+
"text_encoder_pretrained_path": "./checkpoints/Wan2.2-TI2V-5B/models_t5_umt5-xxl-enc-bf16.pth"
|
| 54 |
+
},
|
| 55 |
+
"tile_size_height": 34,
|
| 56 |
+
"tile_size_width": 34,
|
| 57 |
+
"tile_stride_height": 18,
|
| 58 |
+
"tile_stride_width": 16,
|
| 59 |
+
"tiled": false,
|
| 60 |
+
"train_architecture": "full",
|
| 61 |
+
"tune_diffusion_model": true,
|
| 62 |
+
"tune_projector": true,
|
| 63 |
+
"use_vggt_geometry_adapter": true,
|
| 64 |
+
"vae_cfg": {
|
| 65 |
+
"_convert_": "object",
|
| 66 |
+
"_target_": "gammanav.vln.model.wnm_3d.modules.wan_video_vae.WanVideoVAE38",
|
| 67 |
+
"dim": 160,
|
| 68 |
+
"vae_pretrained_path": "./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth",
|
| 69 |
+
"z_dim": 48
|
| 70 |
+
},
|
| 71 |
+
"vggt_adapter_blocks": 2,
|
| 72 |
+
"vggt_adapter_dim": 512,
|
| 73 |
+
"vggt_adapter_heads": 8,
|
| 74 |
+
"vggt_checkpoint_path": "./checkpoints/vggt_omega_1b_512.pt",
|
| 75 |
+
"vggt_image_resolution": 512,
|
| 76 |
+
"vggt_resize_mode": "square",
|
| 77 |
+
"video_noise_beta_alpha": 3.0,
|
| 78 |
+
"video_noise_beta_beta": 1.0
|
| 79 |
+
}
|
| 80 |
+
},
|
| 81 |
+
"action_horizon": 8,
|
| 82 |
+
"architectures": [
|
| 83 |
+
"WNM3DModel"
|
| 84 |
+
],
|
| 85 |
+
"backbone_cfg": {
|
| 86 |
+
"_target_": "gammanav.vln.model.wnm_3d.backbone.identity.IdentityBackbone"
|
| 87 |
+
},
|
| 88 |
+
"hidden_size": 0,
|
| 89 |
+
"model_dtype": "float32",
|
| 90 |
+
"model_type": "wnm_3d",
|
| 91 |
+
"torch_dtype": "bfloat16",
|
| 92 |
+
"transformers_version": "4.51.3"
|
| 93 |
+
}
|
wnm_3d_stage3/experiment_cfg/conf.yaml
ADDED
|
@@ -0,0 +1,581 @@
|
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|
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|
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|
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|
|
|
|
|
|
| 1 |
+
model:
|
| 2 |
+
_target_: gammanav.vln.model.wnm_3d.model.WNM3DModel
|
| 3 |
+
_convert_: object
|
| 4 |
+
config:
|
| 5 |
+
_target_: gammanav.vln.model.wnm_3d.model.WNM3DConfig
|
| 6 |
+
_recursive_: false
|
| 7 |
+
model_dtype: float32
|
| 8 |
+
hidden_size: 0
|
| 9 |
+
action_horizon: 8
|
| 10 |
+
action_dim: 32
|
| 11 |
+
backbone_cfg:
|
| 12 |
+
_target_: gammanav.vln.model.wnm_3d.backbone.identity.IdentityBackbone
|
| 13 |
+
action_head_cfg:
|
| 14 |
+
config:
|
| 15 |
+
backbone_features_projector_cfg: null
|
| 16 |
+
_target_: gammanav.vln.model.wnm_3d.action_head.wan_flow_matching_action_tf.WANPolicyHeadConfig
|
| 17 |
+
_recursive_: false
|
| 18 |
+
tiled: false
|
| 19 |
+
tile_size_height: 34
|
| 20 |
+
tile_size_width: 34
|
| 21 |
+
tile_stride_height: 18
|
| 22 |
+
tile_stride_width: 16
|
| 23 |
+
lora_rank: 4
|
| 24 |
+
lora_alpha: 4
|
| 25 |
+
num_frames: 33
|
| 26 |
+
num_frame_per_block: 2
|
| 27 |
+
lora_target_modules: q,k,v,o,ffn.0,ffn.2
|
| 28 |
+
init_lora_weights: kaiming
|
| 29 |
+
train_architecture: full
|
| 30 |
+
use_vggt_geometry_adapter: true
|
| 31 |
+
vggt_checkpoint_path: ./checkpoints/vggt_omega_1b_512.pt
|
| 32 |
+
vggt_image_resolution: 512
|
| 33 |
+
vggt_resize_mode: square
|
| 34 |
+
vggt_adapter_dim: 512
|
| 35 |
+
vggt_adapter_blocks: 2
|
| 36 |
+
vggt_adapter_heads: 8
|
| 37 |
+
max_state_dim: 64
|
| 38 |
+
max_action_dim: 32
|
| 39 |
+
diffusion_model_cfg:
|
| 40 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_dit_action_casual_chunk.CausalWanModel
|
| 41 |
+
_convert_: object
|
| 42 |
+
diffusion_model_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B
|
| 43 |
+
model_type: ti2v
|
| 44 |
+
frame_seqlen: 50
|
| 45 |
+
dim: 3072
|
| 46 |
+
in_dim: 48
|
| 47 |
+
ffn_dim: 14336
|
| 48 |
+
out_dim: 48
|
| 49 |
+
freq_dim: 256
|
| 50 |
+
eps: 1.0e-06
|
| 51 |
+
num_heads: 24
|
| 52 |
+
num_layers: 30
|
| 53 |
+
max_chunk_size: 4
|
| 54 |
+
num_frame_per_block: 2
|
| 55 |
+
num_action_per_block: 8
|
| 56 |
+
num_state_per_block: 1
|
| 57 |
+
concat_first_frame_latent: false
|
| 58 |
+
text_encoder_cfg:
|
| 59 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_text_encoder.WanTextEncoder
|
| 60 |
+
_convert_: object
|
| 61 |
+
text_encoder_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/models_t5_umt5-xxl-enc-bf16.pth
|
| 62 |
+
image_encoder_cfg:
|
| 63 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_image_encoder.WanImageEncoder
|
| 64 |
+
_convert_: object
|
| 65 |
+
image_encoder_pretrained_path: ./checkpoints/Wan2.1-I2V-14B-480P/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth
|
| 66 |
+
vae_cfg:
|
| 67 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_vae.WanVideoVAE38
|
| 68 |
+
_convert_: object
|
| 69 |
+
vae_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth
|
| 70 |
+
z_dim: 48
|
| 71 |
+
dim: 160
|
| 72 |
+
action_dim: 32
|
| 73 |
+
action_horizon: 8
|
| 74 |
+
num_inference_timesteps: 4
|
| 75 |
+
decouple_video_action_noise: false
|
| 76 |
+
video_noise_beta_alpha: 3.0
|
| 77 |
+
video_noise_beta_beta: 1.0
|
| 78 |
+
tune_projector: true
|
| 79 |
+
tune_diffusion_model: true
|
| 80 |
+
target_video_height: 160
|
| 81 |
+
target_video_width: 320
|
| 82 |
+
_target_: gammanav.vln.model.wnm_3d.action_head.wan_flow_matching_action_tf.WANPolicyHead
|
| 83 |
+
_convert_: object
|
| 84 |
+
train_dataset:
|
| 85 |
+
_target_: gammanav.vln.data.dataset.lerobot.LeRobotMixtureDataset.from_mixture_spec
|
| 86 |
+
_convert_: object
|
| 87 |
+
mixture_spec:
|
| 88 |
+
- dataset_path:
|
| 89 |
+
interiorgs:
|
| 90 |
+
- ./data/interiorgs_lerobot_seen
|
| 91 |
+
dataset_weight: 1.0
|
| 92 |
+
distribute_weights: true
|
| 93 |
+
dataset_class: gammanav.vln.data.dataset.lerobot_sharded.ShardedLeRobotSingleActionChunkDatasetInteriorGS
|
| 94 |
+
all_modality_configs:
|
| 95 |
+
interiorgs:
|
| 96 |
+
video:
|
| 97 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 98 |
+
delta_indices: []
|
| 99 |
+
eval_delta_indices:
|
| 100 |
+
- 0
|
| 101 |
+
modality_keys:
|
| 102 |
+
- video.rgb
|
| 103 |
+
state:
|
| 104 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 105 |
+
delta_indices: []
|
| 106 |
+
modality_keys:
|
| 107 |
+
- state.nav_pose
|
| 108 |
+
action:
|
| 109 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 110 |
+
delta_indices: []
|
| 111 |
+
modality_keys:
|
| 112 |
+
- action.nav_delta
|
| 113 |
+
language:
|
| 114 |
+
_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 115 |
+
delta_indices:
|
| 116 |
+
- 0
|
| 117 |
+
modality_keys:
|
| 118 |
+
- annotation.language.language_instruction
|
| 119 |
+
all_transforms:
|
| 120 |
+
interiorgs:
|
| 121 |
+
_target_: gammanav.vln.data.transform.ComposedModalityTransform
|
| 122 |
+
transforms:
|
| 123 |
+
- _target_: gammanav.vln.data.transform.VideoToTensor
|
| 124 |
+
apply_to:
|
| 125 |
+
- video.rgb
|
| 126 |
+
- _target_: gammanav.vln.data.transform.VideoCrop
|
| 127 |
+
apply_to:
|
| 128 |
+
- video.rgb
|
| 129 |
+
scale: 0.95
|
| 130 |
+
mode: random
|
| 131 |
+
- _target_: gammanav.vln.data.transform.VideoResize
|
| 132 |
+
apply_to:
|
| 133 |
+
- video.rgb
|
| 134 |
+
height: 160
|
| 135 |
+
width: 320
|
| 136 |
+
interpolation: linear
|
| 137 |
+
- _target_: gammanav.vln.data.transform.VideoColorJitter
|
| 138 |
+
apply_to:
|
| 139 |
+
- video.rgb
|
| 140 |
+
brightness: 0.3
|
| 141 |
+
contrast: 0.4
|
| 142 |
+
saturation: 0.5
|
| 143 |
+
hue: 0.08
|
| 144 |
+
- _target_: gammanav.vln.data.transform.VideoToNumpy
|
| 145 |
+
apply_to:
|
| 146 |
+
- video.rgb
|
| 147 |
+
- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 148 |
+
apply_to:
|
| 149 |
+
- state.nav_pose
|
| 150 |
+
- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 151 |
+
apply_to:
|
| 152 |
+
- state.nav_pose
|
| 153 |
+
normalization_modes:
|
| 154 |
+
state.nav_pose: q99
|
| 155 |
+
- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 156 |
+
apply_to:
|
| 157 |
+
- action.nav_delta
|
| 158 |
+
- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 159 |
+
apply_to:
|
| 160 |
+
- action.nav_delta
|
| 161 |
+
normalization_modes:
|
| 162 |
+
action.nav_delta: q99
|
| 163 |
+
- _target_: gammanav.vln.data.transform.ConcatTransform
|
| 164 |
+
video_concat_order:
|
| 165 |
+
- video.rgb
|
| 166 |
+
state_concat_order:
|
| 167 |
+
- state.nav_pose
|
| 168 |
+
action_concat_order:
|
| 169 |
+
- action.nav_delta
|
| 170 |
+
- _target_: gammanav.vln.model.wnm_3d.transform.wnm_3d_cotrain.WNM3DTransform
|
| 171 |
+
default_instruction: Perform the default behavior.
|
| 172 |
+
language_dropout_prob: 0.0
|
| 173 |
+
always_use_default_instruction: false
|
| 174 |
+
max_state_dim: 64
|
| 175 |
+
max_action_dim: 32
|
| 176 |
+
max_length: 512
|
| 177 |
+
state_horizon: 4
|
| 178 |
+
action_horizon: 8
|
| 179 |
+
tokenizer_path: ./checkpoints/umt5-xxl
|
| 180 |
+
dataset_kwargs:
|
| 181 |
+
max_chunk_size: 4
|
| 182 |
+
num_frames: 33
|
| 183 |
+
action_horizon: 8
|
| 184 |
+
state_horizon: 4
|
| 185 |
+
num_frame_per_block: 2
|
| 186 |
+
num_action_per_block: 8
|
| 187 |
+
num_state_per_block: 1
|
| 188 |
+
vae_temporal_stride: 4
|
| 189 |
+
video_frame_stride: 1
|
| 190 |
+
action_frame_stride: 1
|
| 191 |
+
history_sampling: uniform
|
| 192 |
+
nav_action_scale: 4.0
|
| 193 |
+
nav_smooth_window: 7
|
| 194 |
+
nav_smooth_passes: 2
|
| 195 |
+
compute_statistics: true
|
| 196 |
+
max_stats_episodes: 512
|
| 197 |
+
stats_start_stride: 16
|
| 198 |
+
mixture_kwargs:
|
| 199 |
+
training: true
|
| 200 |
+
balance_dataset_weights: false
|
| 201 |
+
balance_trajectory_weights: true
|
| 202 |
+
seed: 42
|
| 203 |
+
allow_padding_at_end: true
|
| 204 |
+
trainer:
|
| 205 |
+
_target_: gammanav.vln.experiment.VLNTrainer
|
| 206 |
+
_partial_: true
|
| 207 |
+
_recursive_: false
|
| 208 |
+
callbacks: null
|
| 209 |
+
model: ???
|
| 210 |
+
train_dataset: ???
|
| 211 |
+
compute_dtype: ???
|
| 212 |
+
wandb_project: wnm_3d
|
| 213 |
+
output_dir: ./checkpoints/wnm_3d_stage3
|
| 214 |
+
load_from_yaml: null
|
| 215 |
+
remove_unused_columns: false
|
| 216 |
+
bf16: true
|
| 217 |
+
tf32: true
|
| 218 |
+
global_batch_size: 8
|
| 219 |
+
raise_error_if_global_batch_size_not_set: false
|
| 220 |
+
per_device_train_batch_size: 1
|
| 221 |
+
per_device_eval_batch_size: 64
|
| 222 |
+
gradient_accumulation_steps: 1
|
| 223 |
+
dataloader_num_workers: 0
|
| 224 |
+
dataloader_pin_memory: false
|
| 225 |
+
dataloader_persistent_workers: false
|
| 226 |
+
optim: adamw_torch
|
| 227 |
+
learning_rate: 0.0001
|
| 228 |
+
adam_beta1: 0.95
|
| 229 |
+
adam_beta2: 0.999
|
| 230 |
+
adam_epsilon: 1.0e-08
|
| 231 |
+
weight_decay: 1.0e-05
|
| 232 |
+
lr_scheduler_type: cosine
|
| 233 |
+
warmup_ratio: 0.05
|
| 234 |
+
logging_steps: 1
|
| 235 |
+
num_train_epochs: 1000
|
| 236 |
+
max_steps: 10
|
| 237 |
+
save_strategy: steps
|
| 238 |
+
save_steps: 10
|
| 239 |
+
eval_strategy: 'no'
|
| 240 |
+
save_total_limit: 5
|
| 241 |
+
report_to: none
|
| 242 |
+
seed: 42
|
| 243 |
+
do_eval: false
|
| 244 |
+
gradient_checkpointing: false
|
| 245 |
+
ddp_find_unused_parameters: false
|
| 246 |
+
ddp_bucket_cap_mb: 100
|
| 247 |
+
eval_bf16: true
|
| 248 |
+
torch_compile_mode: null
|
| 249 |
+
pretrained_model_path: null
|
| 250 |
+
save_lora_only: false
|
| 251 |
+
training_args:
|
| 252 |
+
_target_: transformers.TrainingArguments
|
| 253 |
+
output_dir: ./checkpoints/wnm_3d_stage3
|
| 254 |
+
run_name: wnm_3d_10step_reference
|
| 255 |
+
remove_unused_columns: false
|
| 256 |
+
deepspeed: gammanav/vln/configs/deepspeed/zero2.json
|
| 257 |
+
gradient_checkpointing: false
|
| 258 |
+
bf16: true
|
| 259 |
+
tf32: true
|
| 260 |
+
per_device_train_batch_size: 1
|
| 261 |
+
per_device_eval_batch_size: 64
|
| 262 |
+
gradient_accumulation_steps: 1
|
| 263 |
+
dataloader_num_workers: 0
|
| 264 |
+
dataloader_pin_memory: false
|
| 265 |
+
dataloader_persistent_workers: false
|
| 266 |
+
optim: adamw_torch
|
| 267 |
+
adam_beta1: 0.95
|
| 268 |
+
adam_beta2: 0.999
|
| 269 |
+
adam_epsilon: 1.0e-08
|
| 270 |
+
learning_rate: 1.0e-05
|
| 271 |
+
weight_decay: 1.0e-05
|
| 272 |
+
warmup_ratio: 0.05
|
| 273 |
+
lr_scheduler_type: cosine
|
| 274 |
+
logging_steps: 1
|
| 275 |
+
num_train_epochs: 1000
|
| 276 |
+
max_steps: 10
|
| 277 |
+
save_strategy: steps
|
| 278 |
+
save_steps: 10
|
| 279 |
+
save_total_limit: 5
|
| 280 |
+
report_to: none
|
| 281 |
+
seed: 42
|
| 282 |
+
do_eval: false
|
| 283 |
+
ddp_find_unused_parameters: false
|
| 284 |
+
ddp_bucket_cap_mb: 100
|
| 285 |
+
torch_compile_mode: null
|
| 286 |
+
logging_dir: ./checkpoints/wnm_3d_stage3/tensorboard
|
| 287 |
+
backbone_hidden_size: 0
|
| 288 |
+
backbone_cfg:
|
| 289 |
+
_target_: gammanav.vln.model.wnm_3d.backbone.identity.IdentityBackbone
|
| 290 |
+
action_head_cfg:
|
| 291 |
+
config:
|
| 292 |
+
backbone_features_projector_cfg: null
|
| 293 |
+
_target_: gammanav.vln.model.wnm_3d.action_head.wan_flow_matching_action_tf.WANPolicyHeadConfig
|
| 294 |
+
_recursive_: false
|
| 295 |
+
tiled: false
|
| 296 |
+
tile_size_height: 34
|
| 297 |
+
tile_size_width: 34
|
| 298 |
+
tile_stride_height: 18
|
| 299 |
+
tile_stride_width: 16
|
| 300 |
+
lora_rank: 4
|
| 301 |
+
lora_alpha: 4
|
| 302 |
+
num_frames: 33
|
| 303 |
+
num_frame_per_block: 2
|
| 304 |
+
lora_target_modules: q,k,v,o,ffn.0,ffn.2
|
| 305 |
+
init_lora_weights: kaiming
|
| 306 |
+
train_architecture: full
|
| 307 |
+
use_vggt_geometry_adapter: true
|
| 308 |
+
vggt_checkpoint_path: ./checkpoints/vggt_omega_1b_512.pt
|
| 309 |
+
vggt_image_resolution: 512
|
| 310 |
+
vggt_resize_mode: square
|
| 311 |
+
vggt_adapter_dim: 512
|
| 312 |
+
vggt_adapter_blocks: 2
|
| 313 |
+
vggt_adapter_heads: 8
|
| 314 |
+
max_state_dim: 64
|
| 315 |
+
max_action_dim: 32
|
| 316 |
+
diffusion_model_cfg:
|
| 317 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_dit_action_casual_chunk.CausalWanModel
|
| 318 |
+
_convert_: object
|
| 319 |
+
diffusion_model_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B
|
| 320 |
+
model_type: ti2v
|
| 321 |
+
frame_seqlen: 50
|
| 322 |
+
dim: 3072
|
| 323 |
+
in_dim: 48
|
| 324 |
+
ffn_dim: 14336
|
| 325 |
+
out_dim: 48
|
| 326 |
+
freq_dim: 256
|
| 327 |
+
eps: 1.0e-06
|
| 328 |
+
num_heads: 24
|
| 329 |
+
num_layers: 30
|
| 330 |
+
max_chunk_size: 4
|
| 331 |
+
num_frame_per_block: 2
|
| 332 |
+
num_action_per_block: 8
|
| 333 |
+
num_state_per_block: 1
|
| 334 |
+
concat_first_frame_latent: false
|
| 335 |
+
text_encoder_cfg:
|
| 336 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_text_encoder.WanTextEncoder
|
| 337 |
+
_convert_: object
|
| 338 |
+
text_encoder_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/models_t5_umt5-xxl-enc-bf16.pth
|
| 339 |
+
image_encoder_cfg:
|
| 340 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_image_encoder.WanImageEncoder
|
| 341 |
+
_convert_: object
|
| 342 |
+
image_encoder_pretrained_path: ./checkpoints/Wan2.1-I2V-14B-480P/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth
|
| 343 |
+
vae_cfg:
|
| 344 |
+
_target_: gammanav.vln.model.wnm_3d.modules.wan_video_vae.WanVideoVAE38
|
| 345 |
+
_convert_: object
|
| 346 |
+
vae_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth
|
| 347 |
+
z_dim: 48
|
| 348 |
+
dim: 160
|
| 349 |
+
action_dim: 32
|
| 350 |
+
action_horizon: 8
|
| 351 |
+
num_inference_timesteps: 4
|
| 352 |
+
decouple_video_action_noise: false
|
| 353 |
+
video_noise_beta_alpha: 3.0
|
| 354 |
+
video_noise_beta_beta: 1.0
|
| 355 |
+
tune_projector: true
|
| 356 |
+
tune_diffusion_model: true
|
| 357 |
+
target_video_height: 160
|
| 358 |
+
target_video_width: 320
|
| 359 |
+
_target_: gammanav.vln.model.wnm_3d.action_head.wan_flow_matching_action_tf.WANPolicyHead
|
| 360 |
+
_convert_: object
|
| 361 |
+
dit_version: ./checkpoints/Wan2.2-TI2V-5B
|
| 362 |
+
text_encoder_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/models_t5_umt5-xxl-enc-bf16.pth
|
| 363 |
+
image_encoder_pretrained_path: ./checkpoints/Wan2.1-I2V-14B-480P/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth
|
| 364 |
+
vae_pretrained_path: ./checkpoints/Wan2.2-TI2V-5B/Wan2.2_VAE.pth
|
| 365 |
+
train_architecture: full
|
| 366 |
+
num_frame_per_block: 2
|
| 367 |
+
num_action_per_block: 8
|
| 368 |
+
num_state_per_block: 1
|
| 369 |
+
frame_seqlen: 50
|
| 370 |
+
use_vggt_geometry_adapter: true
|
| 371 |
+
vggt_omega_checkpoint_path: ./checkpoints/vggt_omega_1b_512.pt
|
| 372 |
+
vggt_image_resolution: 512
|
| 373 |
+
vggt_resize_mode: square
|
| 374 |
+
vggt_adapter_dim: 512
|
| 375 |
+
vggt_adapter_blocks: 2
|
| 376 |
+
vggt_adapter_heads: 8
|
| 377 |
+
max_length: 512
|
| 378 |
+
tokenizer_path: ./checkpoints/umt5-xxl
|
| 379 |
+
data_collator:
|
| 380 |
+
_target_: gammanav.vln.model.wnm_3d.transform.wnm_3d_cotrain.DefaultDataCollator
|
| 381 |
+
tokenizer_path: ./checkpoints/umt5-xxl
|
| 382 |
+
max_length: 512
|
| 383 |
+
num_visual_tokens_per_frame: 16
|
| 384 |
+
max_state_dim: 64
|
| 385 |
+
max_action_dim: 32
|
| 386 |
+
language_dropout_prob: 0.0
|
| 387 |
+
model_specific_transform:
|
| 388 |
+
_target_: gammanav.vln.model.wnm_3d.transform.wnm_3d_cotrain.WNM3DTransform
|
| 389 |
+
default_instruction: Perform the default behavior.
|
| 390 |
+
language_dropout_prob: 0.0
|
| 391 |
+
always_use_default_instruction: false
|
| 392 |
+
max_state_dim: 64
|
| 393 |
+
max_action_dim: 32
|
| 394 |
+
max_length: 512
|
| 395 |
+
state_horizon: 4
|
| 396 |
+
action_horizon: 8
|
| 397 |
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tokenizer_path: ./checkpoints/umt5-xxl
|
| 398 |
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image_resolution_width: 320
|
| 399 |
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image_resolution_height: 160
|
| 400 |
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num_frames: 33
|
| 401 |
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state_horizon: 4
|
| 402 |
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|
| 403 |
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vae_temporal_stride: 4
|
| 404 |
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max_chunk_size: 4
|
| 405 |
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video_frame_stride: 1
|
| 406 |
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action_frame_stride: 1
|
| 407 |
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history_sampling: uniform
|
| 408 |
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interiorgs_data_root: ./data/interiorgs_lerobot_seen
|
| 409 |
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modality_config_interiorgs:
|
| 410 |
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video:
|
| 411 |
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_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 412 |
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delta_indices: []
|
| 413 |
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eval_delta_indices:
|
| 414 |
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- 0
|
| 415 |
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modality_keys:
|
| 416 |
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|
| 417 |
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|
| 418 |
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|
| 419 |
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|
| 420 |
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modality_keys:
|
| 421 |
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|
| 422 |
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action:
|
| 423 |
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_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 424 |
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delta_indices: []
|
| 425 |
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modality_keys:
|
| 426 |
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- action.nav_delta
|
| 427 |
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|
| 428 |
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|
| 429 |
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delta_indices:
|
| 430 |
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|
| 431 |
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modality_keys:
|
| 432 |
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|
| 433 |
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transform_interiorgs:
|
| 434 |
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_target_: gammanav.vln.data.transform.ComposedModalityTransform
|
| 435 |
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transforms:
|
| 436 |
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- _target_: gammanav.vln.data.transform.VideoToTensor
|
| 437 |
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apply_to:
|
| 438 |
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- video.rgb
|
| 439 |
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- _target_: gammanav.vln.data.transform.VideoCrop
|
| 440 |
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|
| 441 |
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- video.rgb
|
| 442 |
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scale: 0.95
|
| 443 |
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mode: random
|
| 444 |
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- _target_: gammanav.vln.data.transform.VideoResize
|
| 445 |
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apply_to:
|
| 446 |
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- video.rgb
|
| 447 |
+
height: 160
|
| 448 |
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width: 320
|
| 449 |
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interpolation: linear
|
| 450 |
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- _target_: gammanav.vln.data.transform.VideoColorJitter
|
| 451 |
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apply_to:
|
| 452 |
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- video.rgb
|
| 453 |
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brightness: 0.3
|
| 454 |
+
contrast: 0.4
|
| 455 |
+
saturation: 0.5
|
| 456 |
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hue: 0.08
|
| 457 |
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- _target_: gammanav.vln.data.transform.VideoToNumpy
|
| 458 |
+
apply_to:
|
| 459 |
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- video.rgb
|
| 460 |
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- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 461 |
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apply_to:
|
| 462 |
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- state.nav_pose
|
| 463 |
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- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 464 |
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apply_to:
|
| 465 |
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- state.nav_pose
|
| 466 |
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normalization_modes:
|
| 467 |
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state.nav_pose: q99
|
| 468 |
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- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 469 |
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apply_to:
|
| 470 |
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- action.nav_delta
|
| 471 |
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- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 472 |
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apply_to:
|
| 473 |
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- action.nav_delta
|
| 474 |
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normalization_modes:
|
| 475 |
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action.nav_delta: q99
|
| 476 |
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- _target_: gammanav.vln.data.transform.ConcatTransform
|
| 477 |
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video_concat_order:
|
| 478 |
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- video.rgb
|
| 479 |
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state_concat_order:
|
| 480 |
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- state.nav_pose
|
| 481 |
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action_concat_order:
|
| 482 |
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- action.nav_delta
|
| 483 |
+
- _target_: gammanav.vln.model.wnm_3d.transform.wnm_3d_cotrain.WNM3DTransform
|
| 484 |
+
default_instruction: Perform the default behavior.
|
| 485 |
+
language_dropout_prob: 0.0
|
| 486 |
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always_use_default_instruction: false
|
| 487 |
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max_state_dim: 64
|
| 488 |
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max_action_dim: 32
|
| 489 |
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max_length: 512
|
| 490 |
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state_horizon: 4
|
| 491 |
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action_horizon: 8
|
| 492 |
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tokenizer_path: ./checkpoints/umt5-xxl
|
| 493 |
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modality_configs:
|
| 494 |
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interiorgs:
|
| 495 |
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video:
|
| 496 |
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_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 497 |
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delta_indices: []
|
| 498 |
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eval_delta_indices:
|
| 499 |
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- 0
|
| 500 |
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modality_keys:
|
| 501 |
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- video.rgb
|
| 502 |
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state:
|
| 503 |
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_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 504 |
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delta_indices: []
|
| 505 |
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modality_keys:
|
| 506 |
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- state.nav_pose
|
| 507 |
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action:
|
| 508 |
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_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 509 |
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delta_indices: []
|
| 510 |
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modality_keys:
|
| 511 |
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- action.nav_delta
|
| 512 |
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language:
|
| 513 |
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_target_: gammanav.vln.data.dataset.ModalityConfig
|
| 514 |
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delta_indices:
|
| 515 |
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- 0
|
| 516 |
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modality_keys:
|
| 517 |
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- annotation.language.language_instruction
|
| 518 |
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transforms:
|
| 519 |
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interiorgs:
|
| 520 |
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_target_: gammanav.vln.data.transform.ComposedModalityTransform
|
| 521 |
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transforms:
|
| 522 |
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- _target_: gammanav.vln.data.transform.VideoToTensor
|
| 523 |
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apply_to:
|
| 524 |
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- video.rgb
|
| 525 |
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- _target_: gammanav.vln.data.transform.VideoCrop
|
| 526 |
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apply_to:
|
| 527 |
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- video.rgb
|
| 528 |
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scale: 0.95
|
| 529 |
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mode: random
|
| 530 |
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- _target_: gammanav.vln.data.transform.VideoResize
|
| 531 |
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apply_to:
|
| 532 |
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- video.rgb
|
| 533 |
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height: 160
|
| 534 |
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width: 320
|
| 535 |
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interpolation: linear
|
| 536 |
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- _target_: gammanav.vln.data.transform.VideoColorJitter
|
| 537 |
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apply_to:
|
| 538 |
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- video.rgb
|
| 539 |
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brightness: 0.3
|
| 540 |
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contrast: 0.4
|
| 541 |
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saturation: 0.5
|
| 542 |
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hue: 0.08
|
| 543 |
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- _target_: gammanav.vln.data.transform.VideoToNumpy
|
| 544 |
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apply_to:
|
| 545 |
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- video.rgb
|
| 546 |
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- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 547 |
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apply_to:
|
| 548 |
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- state.nav_pose
|
| 549 |
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- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 550 |
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apply_to:
|
| 551 |
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- state.nav_pose
|
| 552 |
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normalization_modes:
|
| 553 |
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state.nav_pose: q99
|
| 554 |
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- _target_: gammanav.vln.data.transform.StateActionToTensor
|
| 555 |
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apply_to:
|
| 556 |
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- action.nav_delta
|
| 557 |
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- _target_: gammanav.vln.data.transform.StateActionTransform
|
| 558 |
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apply_to:
|
| 559 |
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- action.nav_delta
|
| 560 |
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normalization_modes:
|
| 561 |
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action.nav_delta: q99
|
| 562 |
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- _target_: gammanav.vln.data.transform.ConcatTransform
|
| 563 |
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video_concat_order:
|
| 564 |
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- video.rgb
|
| 565 |
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state_concat_order:
|
| 566 |
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|
| 567 |
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|
| 568 |
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|
| 569 |
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- _target_: gammanav.vln.model.wnm_3d.transform.wnm_3d_cotrain.WNM3DTransform
|
| 570 |
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default_instruction: Perform the default behavior.
|
| 571 |
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language_dropout_prob: 0.0
|
| 572 |
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always_use_default_instruction: false
|
| 573 |
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max_state_dim: 64
|
| 574 |
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max_action_dim: 32
|
| 575 |
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max_length: 512
|
| 576 |
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state_horizon: 4
|
| 577 |
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action_horizon: 8
|
| 578 |
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tokenizer_path: ./checkpoints/umt5-xxl
|
| 579 |
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mixture_dataset_cls: gammanav.vln.data.dataset.lerobot.LeRobotMixtureDataset.from_mixture_spec
|
| 580 |
+
single_dataset_cls: gammanav.vln.data.dataset.lerobot_sharded.ShardedLeRobotSingleActionChunkDatasetInteriorGS
|
| 581 |
+
total_training_steps: 89725000
|
wnm_3d_stage3/experiment_cfg/metadata.json
ADDED
|
@@ -0,0 +1,107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
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|
|
|
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|
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|
|
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|
|
|
|
|
|
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|
|
|
|
|
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|
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|
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|
|
|
| 1 |
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|
| 2 |
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| 3 |
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| 4 |
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| 72 |
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| 73 |
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"modalities": {
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| 74 |
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"resolution": [
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| 77 |
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| 79 |
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| 83 |
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| 86 |
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"absolute": false,
|
| 87 |
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"rotation_type": null,
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| 88 |
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"shape": [
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| 89 |
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| 90 |
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],
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| 91 |
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"continuous": true
|
| 92 |
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}
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| 93 |
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},
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| 94 |
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"action": {
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| 95 |
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"nav_delta": {
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| 96 |
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"absolute": false,
|
| 97 |
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"rotation_type": null,
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| 98 |
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"shape": [
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| 99 |
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| 100 |
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],
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| 101 |
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"continuous": true
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| 102 |
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}
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| 103 |
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| 104 |
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},
|
| 105 |
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"embodiment_tag": "interiorgs"
|
| 106 |
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}
|
| 107 |
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}
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wnm_3d_stage3/model-00001-of-00006.safetensors
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wnm_3d_stage3/model-00002-of-00006.safetensors
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ADDED
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ADDED
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wnm_3d_stage3/model-00006-of-00006.safetensors
ADDED
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wnm_3d_stage3/model.safetensors.index.json
ADDED
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The diff for this file is too large to render.
See raw diff
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