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- .gitattributes +250 -0
- 0422_QwenLatent_13tasks_stateactionprior_50k/config.json +121 -0
- 0422_QwenLatent_13tasks_stateactionprior_50k/config.yaml +104 -0
- 0422_QwenLatent_13tasks_stateactionprior_50k/dataset_statistics.json +682 -0
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- 0422_QwenLatent_13tasks_stateactionprior_50k/summary.jsonl +10 -0
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0422_QwenLatent_13tasks_history_ActionState_50k/videos/pytorch_model/history_len_15_n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/fed56049-627c-45c0-a332-15f9abb2c3c5_success1.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_history_ActionState_50k/videos/pytorch_model/history_len_15_n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/ff1bff4e-2172-47e3-acc4-86d67413505e_success0.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_history_ActionState_50k/videos/pytorch_model/history_len_15_n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/ffbe3153-e2d2-4e3e-8e12-b41d5774739e_success0.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_history_ActionState_50k/videos/pytorch_model/history_len_15_n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/fed56049-627c-45c0-a332-15f9abb2c3c5_success1.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/721b228f-ceb9-4875-94f3-b6b038b6a01c_success0.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/769a6331-e379-4255-98d1-be66f74f42b2_success0.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/7c338a18-6ed2-44f6-97c7-aa4a77566f34_success0.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/874912d9-13d0-4113-847d-9e29657e1f4b_success0.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/9183dccb-c4f0-449b-8439-2b4d6cb7fe22_success0.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/a7a97b71-b621-495c-9f4c-13fb5b767fab_success0.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/afaff47e-14f7-46dd-948b-d3a9efa9deef_success1.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/b2817f5d-fb57-430c-8d57-8a4fda1c2dc8_success0.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/b96a4d6d-1f2b-4e23-a522-8aa788909828_success1.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/bc73b9b9-ad83-4471-8e2d-2cb927b36211_success1.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/bd42af0a-6f0b-4fda-8ad8-ec0dfea969c6_success1.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/c33fdb81-6ada-4926-9adc-5e381d232767_success0.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/c58cbebc-8646-41f8-89a8-9e3a6aa8b8eb_success1.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/c767631e-0308-4e54-91bc-a1d98c922bba_success0.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/c8751922-406b-4998-99f6-c9bd2181c6a1_success1.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/cb1bba20-dba1-4d38-bed6-cfb2da4e84e4_success0.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/d3f485cb-cb99-48a0-94c2-e4869e77c126_success0.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/d5c65f5f-d284-46ce-9063-84f36c92e83d_success1.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/dc3a325d-fdeb-469f-b1af-500955e15874_success0.mp4 filter=lfs diff=lfs merge=lfs -text
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| 2407 |
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/eb75ba54-de01-4932-90a2-36f3cdeaefaa_success0.mp4 filter=lfs diff=lfs merge=lfs -text
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| 2408 |
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/fb67ee40-aa3d-4616-b022-a36af1f3d7d0_success1.mp4 filter=lfs diff=lfs merge=lfs -text
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| 2409 |
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0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env/fcdb3d2a-4bc1-4a9b-ae8e-7d9900cea828_success1.mp4 filter=lfs diff=lfs merge=lfs -text
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0422_QwenLatent_13tasks_stateactionprior_50k/config.json
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| 1 |
+
{
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| 2 |
+
"run_id": "0422_QwenLatent_13tasks_stateactionprior_50k",
|
| 3 |
+
"run_root_dir": "./runs",
|
| 4 |
+
"seed": 21,
|
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+
"trackers": [
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+
"jsonl",
|
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+
"wandb"
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+
],
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+
"wandb_entity": "timsty",
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+
"wandb_project": "vla_jepa",
|
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+
"is_debug": false,
|
| 12 |
+
"framework": {
|
| 13 |
+
"name": "QwenLatent",
|
| 14 |
+
"qwenvl": {
|
| 15 |
+
"base_vlm": "/mnt/data/fangyu/model/Qwen/Qwen3-VL-2B-Instruct",
|
| 16 |
+
"attn_implementation": "flash_attention_2",
|
| 17 |
+
"vl_hidden_dim": 2048,
|
| 18 |
+
"num_data_tokens": 32
|
| 19 |
+
},
|
| 20 |
+
"action_model": {
|
| 21 |
+
"ckpt_path": "/mnt/data/fangyu/code/reward_new/runs/0418_Action_13tasks_actionstate_fixchunk15/final_model/pytorch_model.pt",
|
| 22 |
+
"action_size": 37,
|
| 23 |
+
"state_size": 74,
|
| 24 |
+
"use_state": "${datasets.vla_data.state_use_action_chunk}",
|
| 25 |
+
"hidden_size": 1024,
|
| 26 |
+
"intermediate_size": 3072,
|
| 27 |
+
"dataset_vocab_size": 256,
|
| 28 |
+
"num_data_tokens": 32,
|
| 29 |
+
"num_t_samples": 4,
|
| 30 |
+
"min_action_len": 5,
|
| 31 |
+
"num_encoder_layers": 28,
|
| 32 |
+
"num_decoder_layers": 28,
|
| 33 |
+
"num_attention_heads": 16,
|
| 34 |
+
"num_key_value_heads": 8,
|
| 35 |
+
"head_dim": 128,
|
| 36 |
+
"max_position_embeddings": 2048,
|
| 37 |
+
"max_action_chunk_size": 50,
|
| 38 |
+
"rms_norm_eps": 1e-06,
|
| 39 |
+
"attention_dropout": 0.0,
|
| 40 |
+
"use_vae_reparameterization": false,
|
| 41 |
+
"use_ema": false,
|
| 42 |
+
"chunk_size": "${datasets.vla_data.chunk_size}",
|
| 43 |
+
"loss_mode": "full",
|
| 44 |
+
"qwen3_pretrained_name_or_path": "/mnt/data/fangyu/model/Qwen/Qwen3-0.6B"
|
| 45 |
+
}
|
| 46 |
+
},
|
| 47 |
+
"datasets": {
|
| 48 |
+
"vla_data": {
|
| 49 |
+
"dataset_py": "lerobot_datasets",
|
| 50 |
+
"data_root_dir": "/mnt/data/fangyu/dataset/IPEC-COMMUNITY",
|
| 51 |
+
"data_mix": "cross_embodiedment_13tasks",
|
| 52 |
+
"CoT_prompt": "Task: {instruction}. What are the next 15 actions to take?",
|
| 53 |
+
"default_image_resolution": [
|
| 54 |
+
3,
|
| 55 |
+
224,
|
| 56 |
+
224
|
| 57 |
+
],
|
| 58 |
+
"per_device_batch_size": 32,
|
| 59 |
+
"load_all_data_for_training": true,
|
| 60 |
+
"obs": [
|
| 61 |
+
"image_0"
|
| 62 |
+
],
|
| 63 |
+
"image_size": [
|
| 64 |
+
224,
|
| 65 |
+
224
|
| 66 |
+
],
|
| 67 |
+
"video_backend": "torchcodec",
|
| 68 |
+
"load_video": true,
|
| 69 |
+
"chunk_size": 15,
|
| 70 |
+
"state_use_action_chunk": true,
|
| 71 |
+
"num_history_steps": 0,
|
| 72 |
+
"include_state": "${datasets.vla_data.state_use_action_chunk}"
|
| 73 |
+
}
|
| 74 |
+
},
|
| 75 |
+
"trainer": {
|
| 76 |
+
"epochs": 100,
|
| 77 |
+
"max_train_steps": 50000,
|
| 78 |
+
"num_warmup_steps": 5000,
|
| 79 |
+
"num_stable_steps": 0,
|
| 80 |
+
"mode": "decay_aux_loss",
|
| 81 |
+
"loss_weights_decay_steps": 5000,
|
| 82 |
+
"save_interval": 5000,
|
| 83 |
+
"eval_interval": 50,
|
| 84 |
+
"max_checkpoints_to_keep": 20,
|
| 85 |
+
"learning_rate": {
|
| 86 |
+
"base": 2.5e-05,
|
| 87 |
+
"qwen_vl_interface": 2.5e-05,
|
| 88 |
+
"action_model": 2.5e-05
|
| 89 |
+
},
|
| 90 |
+
"lr_scheduler_type": "warmup_stable_cosine",
|
| 91 |
+
"scheduler_specific_kwargs": {
|
| 92 |
+
"min_lr_ratio": 0.001
|
| 93 |
+
},
|
| 94 |
+
"freeze_modules": "",
|
| 95 |
+
"loss_scale": {
|
| 96 |
+
"align_loss": 1.0,
|
| 97 |
+
"recon_loss": 1.0,
|
| 98 |
+
"predict_loss": 1.0
|
| 99 |
+
},
|
| 100 |
+
"warmup_ratio": 0.1,
|
| 101 |
+
"weight_decay": 0.0,
|
| 102 |
+
"logging_frequency": 10,
|
| 103 |
+
"gradient_clipping": 5.0,
|
| 104 |
+
"gradient_accumulation_steps": 1,
|
| 105 |
+
"optimizer": {
|
| 106 |
+
"name": "AdamW",
|
| 107 |
+
"betas": [
|
| 108 |
+
0.9,
|
| 109 |
+
0.95
|
| 110 |
+
],
|
| 111 |
+
"eps": 1e-08,
|
| 112 |
+
"weight_decay": 1e-08
|
| 113 |
+
},
|
| 114 |
+
"is_resume": false,
|
| 115 |
+
"resume_epoch": null,
|
| 116 |
+
"resume_step": null,
|
| 117 |
+
"enable_gradient_checkpointing": true,
|
| 118 |
+
"enable_mixed_precision_training": true
|
| 119 |
+
},
|
| 120 |
+
"output_dir": "./runs/0422_QwenLatent_13tasks_stateactionprior_50k"
|
| 121 |
+
}
|
0422_QwenLatent_13tasks_stateactionprior_50k/config.yaml
ADDED
|
@@ -0,0 +1,104 @@
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|
|
|
| 1 |
+
run_id: 0422_QwenLatent_13tasks_stateactionprior_50k
|
| 2 |
+
run_root_dir: ./runs
|
| 3 |
+
seed: 21
|
| 4 |
+
trackers:
|
| 5 |
+
- jsonl
|
| 6 |
+
- wandb
|
| 7 |
+
wandb_entity: timsty
|
| 8 |
+
wandb_project: vla_jepa
|
| 9 |
+
is_debug: false
|
| 10 |
+
framework:
|
| 11 |
+
name: QwenLatent
|
| 12 |
+
qwenvl:
|
| 13 |
+
base_vlm: /mnt/data/fangyu/model/Qwen/Qwen3-VL-2B-Instruct
|
| 14 |
+
attn_implementation: flash_attention_2
|
| 15 |
+
vl_hidden_dim: 2048
|
| 16 |
+
num_data_tokens: 32
|
| 17 |
+
action_model:
|
| 18 |
+
ckpt_path: /mnt/data/fangyu/code/reward_new/runs/0418_Action_13tasks_actionstate_fixchunk15/final_model/pytorch_model.pt
|
| 19 |
+
action_size: 37
|
| 20 |
+
state_size: 74
|
| 21 |
+
use_state: ${datasets.vla_data.state_use_action_chunk}
|
| 22 |
+
hidden_size: 1024
|
| 23 |
+
intermediate_size: 3072
|
| 24 |
+
dataset_vocab_size: 256
|
| 25 |
+
num_data_tokens: 32
|
| 26 |
+
num_t_samples: 4
|
| 27 |
+
min_action_len: 5
|
| 28 |
+
num_encoder_layers: 28
|
| 29 |
+
num_decoder_layers: 28
|
| 30 |
+
num_attention_heads: 16
|
| 31 |
+
num_key_value_heads: 8
|
| 32 |
+
head_dim: 128
|
| 33 |
+
max_position_embeddings: 2048
|
| 34 |
+
max_action_chunk_size: 50
|
| 35 |
+
rms_norm_eps: 1.0e-06
|
| 36 |
+
attention_dropout: 0.0
|
| 37 |
+
use_vae_reparameterization: false
|
| 38 |
+
use_ema: false
|
| 39 |
+
chunk_size: ${datasets.vla_data.chunk_size}
|
| 40 |
+
loss_mode: full
|
| 41 |
+
qwen3_pretrained_name_or_path: /mnt/data/fangyu/model/Qwen/Qwen3-0.6B
|
| 42 |
+
datasets:
|
| 43 |
+
vla_data:
|
| 44 |
+
dataset_py: lerobot_datasets
|
| 45 |
+
data_root_dir: /mnt/data/fangyu/dataset/IPEC-COMMUNITY
|
| 46 |
+
data_mix: cross_embodiedment_13tasks
|
| 47 |
+
CoT_prompt: 'Task: {instruction}. What are the next 15 actions to take?'
|
| 48 |
+
default_image_resolution:
|
| 49 |
+
- 3
|
| 50 |
+
- 224
|
| 51 |
+
- 224
|
| 52 |
+
per_device_batch_size: 32
|
| 53 |
+
load_all_data_for_training: true
|
| 54 |
+
obs:
|
| 55 |
+
- image_0
|
| 56 |
+
image_size:
|
| 57 |
+
- 224
|
| 58 |
+
- 224
|
| 59 |
+
video_backend: torchcodec
|
| 60 |
+
load_video: true
|
| 61 |
+
chunk_size: 15
|
| 62 |
+
state_use_action_chunk: true
|
| 63 |
+
num_history_steps: 0
|
| 64 |
+
include_state: ${datasets.vla_data.state_use_action_chunk}
|
| 65 |
+
trainer:
|
| 66 |
+
epochs: 100
|
| 67 |
+
max_train_steps: 50000
|
| 68 |
+
num_warmup_steps: 5000
|
| 69 |
+
num_stable_steps: 0
|
| 70 |
+
mode: decay_aux_loss
|
| 71 |
+
loss_weights_decay_steps: 5000
|
| 72 |
+
save_interval: 5000
|
| 73 |
+
eval_interval: 50
|
| 74 |
+
max_checkpoints_to_keep: 20
|
| 75 |
+
learning_rate:
|
| 76 |
+
base: 2.5e-05
|
| 77 |
+
qwen_vl_interface: 2.5e-05
|
| 78 |
+
action_model: 2.5e-05
|
| 79 |
+
lr_scheduler_type: warmup_stable_cosine
|
| 80 |
+
scheduler_specific_kwargs:
|
| 81 |
+
min_lr_ratio: 0.001
|
| 82 |
+
freeze_modules: ''
|
| 83 |
+
loss_scale:
|
| 84 |
+
align_loss: 1.0
|
| 85 |
+
recon_loss: 1.0
|
| 86 |
+
predict_loss: 1.0
|
| 87 |
+
warmup_ratio: 0.1
|
| 88 |
+
weight_decay: 0.0
|
| 89 |
+
logging_frequency: 10
|
| 90 |
+
gradient_clipping: 5.0
|
| 91 |
+
gradient_accumulation_steps: 1
|
| 92 |
+
optimizer:
|
| 93 |
+
name: AdamW
|
| 94 |
+
betas:
|
| 95 |
+
- 0.9
|
| 96 |
+
- 0.95
|
| 97 |
+
eps: 1.0e-08
|
| 98 |
+
weight_decay: 1.0e-08
|
| 99 |
+
is_resume: false
|
| 100 |
+
resume_epoch: null
|
| 101 |
+
resume_step: null
|
| 102 |
+
enable_gradient_checkpointing: true
|
| 103 |
+
enable_mixed_precision_training: true
|
| 104 |
+
output_dir: ./runs/0422_QwenLatent_13tasks_stateactionprior_50k
|
0422_QwenLatent_13tasks_stateactionprior_50k/dataset_statistics.json
ADDED
|
@@ -0,0 +1,682 @@
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| 1 |
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[robosuite WARNING] No private macro file found! (macros.py:53)
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| 2 |
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[robosuite WARNING] It is recommended to use a private macro file (macros.py:54)
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| 3 |
+
[robosuite WARNING] To setup, run: python /mnt/data/fangyu/code/github/robosuite/robosuite/scripts/setup_macros.py (macros.py:55)
|
| 4 |
+
[robosuite WARNING] Could not import robosuite_models. Some robots may not be available. If you want to use these robots, please install robosuite_models from source (https://github.com/ARISE-Initiative/robosuite_models) or through pip install. (__init__.py:30)
|
| 5 |
+
[robosuite WARNING] No private macro file found! (macros.py:28)
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| 6 |
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[robosuite WARNING] It is recommended to use a private macro file (macros.py:29)
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| 7 |
+
[robosuite WARNING] To setup, run: python /mnt/data/fangyu/code/github/robocasa-gr1-tabletop-tasks/robocasa/scripts/setup_macros.py (macros.py:30)
|
| 8 |
+
/mnt/data/.cache/conda/envs/robocasa/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.8 (you have 1.4.18). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
|
| 9 |
+
check_for_updates()
|
| 10 |
+
WARNING: mimicgen environments not imported since mimicgen is not installed!
|
| 11 |
+
🚨 `examples` is part of ActionModel.forward's signature, but not documented. Make sure to add it to the docstring of the function in /mnt/data/fangyu/code/reward_new/starVLA/model/modules/action_model/ActionModel.py.
|
| 12 |
+
04/23 [07:29:14] INFO | >> Arguments: { simulation_env.py:300
|
| 13 |
+
"host": "127.0.0.1",
|
| 14 |
+
"port": 6200,
|
| 15 |
+
"env_name":
|
| 16 |
+
"gr1_unified/PnPBottleToCabinetC
|
| 17 |
+
lose_GR1ArmsAndWaistFourierHands
|
| 18 |
+
_Env",
|
| 19 |
+
"n_episodes": 50,
|
| 20 |
+
"n_envs": 1,
|
| 21 |
+
"max_episode_steps": 720,
|
| 22 |
+
"n_action_steps": 10,
|
| 23 |
+
"video_out_path":
|
| 24 |
+
"/mnt/data/fangyu/code/reward_ne
|
| 25 |
+
w/runs/0422_QwenLatent_13tasks_s
|
| 26 |
+
tateactionprior_50k/videos/pytor
|
| 27 |
+
ch_model/n_action_steps_10_max_e
|
| 28 |
+
pisode_steps_720_n_envs_1_gr1_un
|
| 29 |
+
ified/PnPBottleToCabinetClose_GR
|
| 30 |
+
1ArmsAndWaistFourierHands_Env",
|
| 31 |
+
"seed": 21,
|
| 32 |
+
"pretrained_path":
|
| 33 |
+
"/mnt/data/fangyu/code/reward_ne
|
| 34 |
+
w/runs/0422_QwenLatent_13tasks_s
|
| 35 |
+
tateactionprior_50k/final_model/
|
| 36 |
+
pytorch_model.pt"
|
| 37 |
+
}
|
| 38 |
+
INFO | >> Waiting for server websocket_policy_client.py:34
|
| 39 |
+
at
|
| 40 |
+
ws://127.0.0.1:6200...
|
| 41 |
+
INFO | >> Still waiting for websocket_policy_client.py:58
|
| 42 |
+
server
|
| 43 |
+
ws://127.0.0.1:6200 ...
|
| 44 |
+
04/23 [07:29:16] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 45 |
+
server
|
| 46 |
+
ws://127.0.0.1:6200 ...
|
| 47 |
+
04/23 [07:29:18] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 48 |
+
server
|
| 49 |
+
ws://127.0.0.1:6200 ...
|
| 50 |
+
04/23 [07:29:20] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 51 |
+
server
|
| 52 |
+
ws://127.0.0.1:6200 ...
|
| 53 |
+
04/23 [07:29:22] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 54 |
+
server
|
| 55 |
+
ws://127.0.0.1:6200 ...
|
| 56 |
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04/23 [07:29:24] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 57 |
+
server
|
| 58 |
+
ws://127.0.0.1:6200 ...
|
| 59 |
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04/23 [07:29:26] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 60 |
+
server
|
| 61 |
+
ws://127.0.0.1:6200 ...
|
| 62 |
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04/23 [07:29:28] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 63 |
+
server
|
| 64 |
+
ws://127.0.0.1:6200 ...
|
| 65 |
+
*** policy_setup: gr1, unnorm_key: gr1 ***
|
| 66 |
+
04/23 [07:29:30] INFO | >> [*] Loading from local share_tools.py:276
|
| 67 |
+
checkpoint path
|
| 68 |
+
`/mnt/data/fangyu/code/reward_new/r
|
| 69 |
+
uns/0422_QwenLatent_13tasks_stateac
|
| 70 |
+
tionprior_50k/final_model/pytorch_m
|
| 71 |
+
odel.pt`
|
| 72 |
+
Running 50 episodes for gr1_unified/PnPBottleToCabinetClose_GR1ArmsAndWaistFourierHands_Env with 1 environments
|
| 73 |
+
04/23 [07:29:38] INFO | >> No OpenGL_accelerate acceleratesupport.py:24
|
| 74 |
+
module loaded: No module named
|
| 75 |
+
'OpenGL_accelerate'
|
| 76 |
+
/mnt/data/.cache/conda/envs/robocasa/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:158: UserWarning: [33mWARN: The obs returned by the `reset()` method is not within the observation space.[0m
|
| 77 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 78 |
+
/mnt/data/.cache/conda/envs/robocasa/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:158: UserWarning: [33mWARN: The obs returned by the `step()` method is not within the observation space.[0m
|
| 79 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 80 |
+
WARNING: _load_model has been called over 10 times!
|
| 81 |
+
WARNING: _load_model has been called over 20 times!
|
| 82 |
+
WARNING: _load_model has been called over 30 times!
|
| 83 |
+
WARNING: _load_model has been called over 40 times!
|
| 84 |
+
WARNING: _load_model has been called over 50 times!
|
| 85 |
+
Collecting 50 episodes took 3724.75 seconds
|
| 86 |
+
Results for gr1_unified/PnPBottleToCabinetClose_GR1ArmsAndWaistFourierHands_Env:
|
| 87 |
+
Success rate: 0.64
|
0422_QwenLatent_13tasks_stateactionprior_50k/final_model/pytorch_model.pt.log/eval_20260423_072740/eval_env_gr1_unified_PosttrainPnPNovelFromCuttingboardToBasketSplitA_GR1ArmsAndWaistFourierHands_Env_gpu1.log
ADDED
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@@ -0,0 +1,118 @@
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|
| 1 |
+
[robosuite WARNING] No private macro file found! (macros.py:53)
|
| 2 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:54)
|
| 3 |
+
[robosuite WARNING] To setup, run: python /mnt/data/fangyu/code/github/robosuite/robosuite/scripts/setup_macros.py (macros.py:55)
|
| 4 |
+
[robosuite WARNING] Could not import robosuite_models. Some robots may not be available. If you want to use these robots, please install robosuite_models from source (https://github.com/ARISE-Initiative/robosuite_models) or through pip install. (__init__.py:30)
|
| 5 |
+
[robosuite WARNING] No private macro file found! (macros.py:28)
|
| 6 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:29)
|
| 7 |
+
[robosuite WARNING] To setup, run: python /mnt/data/fangyu/code/github/robocasa-gr1-tabletop-tasks/robocasa/scripts/setup_macros.py (macros.py:30)
|
| 8 |
+
/mnt/data/.cache/conda/envs/robocasa/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.8 (you have 1.4.18). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
|
| 9 |
+
check_for_updates()
|
| 10 |
+
WARNING: mimicgen environments not imported since mimicgen is not installed!
|
| 11 |
+
🚨 `examples` is part of ActionModel.forward's signature, but not documented. Make sure to add it to the docstring of the function in /mnt/data/fangyu/code/reward_new/starVLA/model/modules/action_model/ActionModel.py.
|
| 12 |
+
04/23 [07:29:15] INFO | >> Arguments: { simulation_env.py:300
|
| 13 |
+
"host": "127.0.0.1",
|
| 14 |
+
"port": 6201,
|
| 15 |
+
"env_name":
|
| 16 |
+
"gr1_unified/PosttrainPnPNovelFr
|
| 17 |
+
omCuttingboardToBasketSplitA_GR1
|
| 18 |
+
ArmsAndWaistFourierHands_Env",
|
| 19 |
+
"n_episodes": 50,
|
| 20 |
+
"n_envs": 1,
|
| 21 |
+
"max_episode_steps": 720,
|
| 22 |
+
"n_action_steps": 10,
|
| 23 |
+
"video_out_path":
|
| 24 |
+
"/mnt/data/fangyu/code/reward_ne
|
| 25 |
+
w/runs/0422_QwenLatent_13tasks_s
|
| 26 |
+
tateactionprior_50k/videos/pytor
|
| 27 |
+
ch_model/n_action_steps_10_max_e
|
| 28 |
+
pisode_steps_720_n_envs_1_gr1_un
|
| 29 |
+
ified/PosttrainPnPNovelFromCutti
|
| 30 |
+
ngboardToBasketSplitA_GR1ArmsAnd
|
| 31 |
+
WaistFourierHands_Env",
|
| 32 |
+
"seed": 21,
|
| 33 |
+
"pretrained_path":
|
| 34 |
+
"/mnt/data/fangyu/code/reward_ne
|
| 35 |
+
w/runs/0422_QwenLatent_13tasks_s
|
| 36 |
+
tateactionprior_50k/final_model/
|
| 37 |
+
pytorch_model.pt"
|
| 38 |
+
}
|
| 39 |
+
INFO | >> Waiting for server websocket_policy_client.py:34
|
| 40 |
+
at
|
| 41 |
+
ws://127.0.0.1:6201...
|
| 42 |
+
INFO | >> Still waiting for websocket_policy_client.py:58
|
| 43 |
+
server
|
| 44 |
+
ws://127.0.0.1:6201 ...
|
| 45 |
+
04/23 [07:29:17] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 46 |
+
server
|
| 47 |
+
ws://127.0.0.1:6201 ...
|
| 48 |
+
04/23 [07:29:19] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 49 |
+
server
|
| 50 |
+
ws://127.0.0.1:6201 ...
|
| 51 |
+
04/23 [07:29:21] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 52 |
+
server
|
| 53 |
+
ws://127.0.0.1:6201 ...
|
| 54 |
+
04/23 [07:29:23] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 55 |
+
server
|
| 56 |
+
ws://127.0.0.1:6201 ...
|
| 57 |
+
04/23 [07:29:25] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 58 |
+
server
|
| 59 |
+
ws://127.0.0.1:6201 ...
|
| 60 |
+
04/23 [07:29:27] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 61 |
+
server
|
| 62 |
+
ws://127.0.0.1:6201 ...
|
| 63 |
+
04/23 [07:29:29] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 64 |
+
server
|
| 65 |
+
ws://127.0.0.1:6201 ...
|
| 66 |
+
04/23 [07:29:31] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 67 |
+
server
|
| 68 |
+
ws://127.0.0.1:6201 ...
|
| 69 |
+
04/23 [07:29:33] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 70 |
+
server
|
| 71 |
+
ws://127.0.0.1:6201 ...
|
| 72 |
+
04/23 [07:29:35] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 73 |
+
server
|
| 74 |
+
ws://127.0.0.1:6201 ...
|
| 75 |
+
04/23 [07:29:37] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 76 |
+
server
|
| 77 |
+
ws://127.0.0.1:6201 ...
|
| 78 |
+
04/23 [07:29:39] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 79 |
+
server
|
| 80 |
+
ws://127.0.0.1:6201 ...
|
| 81 |
+
04/23 [07:29:41] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 82 |
+
server
|
| 83 |
+
ws://127.0.0.1:6201 ...
|
| 84 |
+
04/23 [07:29:43] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 85 |
+
server
|
| 86 |
+
ws://127.0.0.1:6201 ...
|
| 87 |
+
04/23 [07:29:45] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 88 |
+
server
|
| 89 |
+
ws://127.0.0.1:6201 ...
|
| 90 |
+
04/23 [07:29:47] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 91 |
+
server
|
| 92 |
+
ws://127.0.0.1:6201 ...
|
| 93 |
+
04/23 [07:29:49] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 94 |
+
server
|
| 95 |
+
ws://127.0.0.1:6201 ...
|
| 96 |
+
*** policy_setup: gr1, unnorm_key: gr1 ***
|
| 97 |
+
04/23 [07:29:51] INFO | >> [*] Loading from local share_tools.py:276
|
| 98 |
+
checkpoint path
|
| 99 |
+
`/mnt/data/fangyu/code/reward_new/r
|
| 100 |
+
uns/0422_QwenLatent_13tasks_stateac
|
| 101 |
+
tionprior_50k/final_model/pytorch_m
|
| 102 |
+
odel.pt`
|
| 103 |
+
Running 50 episodes for gr1_unified/PosttrainPnPNovelFromCuttingboardToBasketSplitA_GR1ArmsAndWaistFourierHands_Env with 1 environments
|
| 104 |
+
04/23 [07:29:58] INFO | >> No OpenGL_accelerate acceleratesupport.py:24
|
| 105 |
+
module loaded: No module named
|
| 106 |
+
'OpenGL_accelerate'
|
| 107 |
+
/mnt/data/.cache/conda/envs/robocasa/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:158: UserWarning: [33mWARN: The obs returned by the `reset()` method is not within the observation space.[0m
|
| 108 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 109 |
+
/mnt/data/.cache/conda/envs/robocasa/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:158: UserWarning: [33mWARN: The obs returned by the `step()` method is not within the observation space.[0m
|
| 110 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 111 |
+
WARNING: _load_model has been called over 10 times!
|
| 112 |
+
WARNING: _load_model has been called over 20 times!
|
| 113 |
+
WARNING: _load_model has been called over 30 times!
|
| 114 |
+
WARNING: _load_model has been called over 40 times!
|
| 115 |
+
WARNING: _load_model has been called over 50 times!
|
| 116 |
+
Collecting 50 episodes took 3776.20 seconds
|
| 117 |
+
Results for gr1_unified/PosttrainPnPNovelFromCuttingboardToBasketSplitA_GR1ArmsAndWaistFourierHands_Env:
|
| 118 |
+
Success rate: 0.34
|
0422_QwenLatent_13tasks_stateactionprior_50k/final_model/pytorch_model.pt.log/eval_20260423_072740/eval_env_gr1_unified_PosttrainPnPNovelFromPlacematToBasketSplitA_GR1ArmsAndWaistFourierHands_Env_gpu2.log
ADDED
|
@@ -0,0 +1,134 @@
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| 1 |
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[robosuite WARNING] No private macro file found! (macros.py:53)
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| 2 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:54)
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| 3 |
+
[robosuite WARNING] To setup, run: python /mnt/data/fangyu/code/github/robosuite/robosuite/scripts/setup_macros.py (macros.py:55)
|
| 4 |
+
[robosuite WARNING] Could not import robosuite_models. Some robots may not be available. If you want to use these robots, please install robosuite_models from source (https://github.com/ARISE-Initiative/robosuite_models) or through pip install. (__init__.py:30)
|
| 5 |
+
[robosuite WARNING] No private macro file found! (macros.py:28)
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| 6 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:29)
|
| 7 |
+
[robosuite WARNING] To setup, run: python /mnt/data/fangyu/code/github/robocasa-gr1-tabletop-tasks/robocasa/scripts/setup_macros.py (macros.py:30)
|
| 8 |
+
/mnt/data/.cache/conda/envs/robocasa/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.8 (you have 1.4.18). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
|
| 9 |
+
check_for_updates()
|
| 10 |
+
WARNING: mimicgen environments not imported since mimicgen is not installed!
|
| 11 |
+
🚨 `examples` is part of ActionModel.forward's signature, but not documented. Make sure to add it to the docstring of the function in /mnt/data/fangyu/code/reward_new/starVLA/model/modules/action_model/ActionModel.py.
|
| 12 |
+
04/23 [07:29:18] INFO | >> Arguments: { simulation_env.py:300
|
| 13 |
+
"host": "127.0.0.1",
|
| 14 |
+
"port": 6202,
|
| 15 |
+
"env_name":
|
| 16 |
+
"gr1_unified/PosttrainPnPNovelFr
|
| 17 |
+
omPlacematToBasketSplitA_GR1Arms
|
| 18 |
+
AndWaistFourierHands_Env",
|
| 19 |
+
"n_episodes": 50,
|
| 20 |
+
"n_envs": 1,
|
| 21 |
+
"max_episode_steps": 720,
|
| 22 |
+
"n_action_steps": 10,
|
| 23 |
+
"video_out_path":
|
| 24 |
+
"/mnt/data/fangyu/code/reward_ne
|
| 25 |
+
w/runs/0422_QwenLatent_13tasks_s
|
| 26 |
+
tateactionprior_50k/videos/pytor
|
| 27 |
+
ch_model/n_action_steps_10_max_e
|
| 28 |
+
pisode_steps_720_n_envs_1_gr1_un
|
| 29 |
+
ified/PosttrainPnPNovelFromPlace
|
| 30 |
+
matToBasketSplitA_GR1ArmsAndWais
|
| 31 |
+
tFourierHands_Env",
|
| 32 |
+
"seed": 21,
|
| 33 |
+
"pretrained_path":
|
| 34 |
+
"/mnt/data/fangyu/code/reward_ne
|
| 35 |
+
w/runs/0422_QwenLatent_13tasks_s
|
| 36 |
+
tateactionprior_50k/final_model/
|
| 37 |
+
pytorch_model.pt"
|
| 38 |
+
}
|
| 39 |
+
INFO | >> Waiting for server websocket_policy_client.py:34
|
| 40 |
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|
| 41 |
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|
| 42 |
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INFO | >> Still waiting for websocket_policy_client.py:58
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04/23 [07:29:20] INFO | >> Still waiting for websocket_policy_client.py:58
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| 46 |
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04/23 [07:29:22] INFO | >> Still waiting for websocket_policy_client.py:58
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| 49 |
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| 52 |
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| 53 |
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| 58 |
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| 59 |
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| 61 |
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| 62 |
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| 64 |
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| 65 |
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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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|
| 74 |
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|
| 75 |
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04/23 [07:29:40] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 76 |
+
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|
| 77 |
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| 78 |
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04/23 [07:29:42] INFO | >> Still waiting for websocket_policy_client.py:58
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| 79 |
+
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|
| 80 |
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| 81 |
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| 82 |
+
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| 83 |
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| 84 |
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|
| 85 |
+
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|
| 86 |
+
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|
| 87 |
+
04/23 [07:29:48] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 88 |
+
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|
| 89 |
+
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|
| 90 |
+
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|
| 91 |
+
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|
| 92 |
+
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|
| 93 |
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|
| 94 |
+
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|
| 95 |
+
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|
| 96 |
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|
| 97 |
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|
| 98 |
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| 99 |
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|
| 100 |
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|
| 101 |
+
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|
| 102 |
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|
| 103 |
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|
| 104 |
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| 105 |
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|
| 106 |
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|
| 107 |
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| 108 |
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04/23 [07:30:02] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 109 |
+
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|
| 110 |
+
ws://127.0.0.1:6202 ...
|
| 111 |
+
*** policy_setup: gr1, unnorm_key: gr1 ***
|
| 112 |
+
04/23 [07:30:04] INFO | >> [*] Loading from local share_tools.py:276
|
| 113 |
+
checkpoint path
|
| 114 |
+
`/mnt/data/fangyu/code/reward_new/r
|
| 115 |
+
uns/0422_QwenLatent_13tasks_stateac
|
| 116 |
+
tionprior_50k/final_model/pytorch_m
|
| 117 |
+
odel.pt`
|
| 118 |
+
Running 50 episodes for gr1_unified/PosttrainPnPNovelFromPlacematToBasketSplitA_GR1ArmsAndWaistFourierHands_Env with 1 environments
|
| 119 |
+
04/23 [07:30:07] INFO | >> No OpenGL_accelerate acceleratesupport.py:24
|
| 120 |
+
module loaded: No module named
|
| 121 |
+
'OpenGL_accelerate'
|
| 122 |
+
/mnt/data/.cache/conda/envs/robocasa/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:158: UserWarning: [33mWARN: The obs returned by the `reset()` method is not within the observation space.[0m
|
| 123 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 124 |
+
/mnt/data/.cache/conda/envs/robocasa/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:158: UserWarning: [33mWARN: The obs returned by the `step()` method is not within the observation space.[0m
|
| 125 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 126 |
+
WARNING: _load_model has been called over 10 times!
|
| 127 |
+
WARNING: _load_model has been called over 20 times!
|
| 128 |
+
WARNING: _load_model has been called over 30 times!
|
| 129 |
+
WARNING: _load_model has been called over 40 times!
|
| 130 |
+
WARNING: _load_model has been called over 50 times!
|
| 131 |
+
WARNING: _load_model has been called over 60 times!
|
| 132 |
+
Collecting 50 episodes took 3719.61 seconds
|
| 133 |
+
Results for gr1_unified/PosttrainPnPNovelFromPlacematToBasketSplitA_GR1ArmsAndWaistFourierHands_Env:
|
| 134 |
+
Success rate: 0.42
|
0422_QwenLatent_13tasks_stateactionprior_50k/final_model/pytorch_model.pt.log/eval_20260423_072740/eval_env_gr1_unified_PosttrainPnPNovelFromPlateToBowlSplitA_GR1ArmsAndWaistFourierHands_Env_gpu3.log
ADDED
|
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|
| 1 |
+
[robosuite WARNING] No private macro file found! (macros.py:53)
|
| 2 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:54)
|
| 3 |
+
[robosuite WARNING] To setup, run: python /mnt/data/fangyu/code/github/robosuite/robosuite/scripts/setup_macros.py (macros.py:55)
|
| 4 |
+
[robosuite WARNING] Could not import robosuite_models. Some robots may not be available. If you want to use these robots, please install robosuite_models from source (https://github.com/ARISE-Initiative/robosuite_models) or through pip install. (__init__.py:30)
|
| 5 |
+
[robosuite WARNING] No private macro file found! (macros.py:28)
|
| 6 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:29)
|
| 7 |
+
[robosuite WARNING] To setup, run: python /mnt/data/fangyu/code/github/robocasa-gr1-tabletop-tasks/robocasa/scripts/setup_macros.py (macros.py:30)
|
| 8 |
+
/mnt/data/.cache/conda/envs/robocasa/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.8 (you have 1.4.18). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
|
| 9 |
+
check_for_updates()
|
| 10 |
+
WARNING: mimicgen environments not imported since mimicgen is not installed!
|
| 11 |
+
🚨 `examples` is part of ActionModel.forward's signature, but not documented. Make sure to add it to the docstring of the function in /mnt/data/fangyu/code/reward_new/starVLA/model/modules/action_model/ActionModel.py.
|
| 12 |
+
04/23 [07:29:17] INFO | >> Arguments: { simulation_env.py:300
|
| 13 |
+
"host": "127.0.0.1",
|
| 14 |
+
"port": 6203,
|
| 15 |
+
"env_name":
|
| 16 |
+
"gr1_unified/PosttrainPnPNovelFr
|
| 17 |
+
omPlateToBowlSplitA_GR1ArmsAndWa
|
| 18 |
+
istFourierHands_Env",
|
| 19 |
+
"n_episodes": 50,
|
| 20 |
+
"n_envs": 1,
|
| 21 |
+
"max_episode_steps": 720,
|
| 22 |
+
"n_action_steps": 10,
|
| 23 |
+
"video_out_path":
|
| 24 |
+
"/mnt/data/fangyu/code/reward_ne
|
| 25 |
+
w/runs/0422_QwenLatent_13tasks_s
|
| 26 |
+
tateactionprior_50k/videos/pytor
|
| 27 |
+
ch_model/n_action_steps_10_max_e
|
| 28 |
+
pisode_steps_720_n_envs_1_gr1_un
|
| 29 |
+
ified/PosttrainPnPNovelFromPlate
|
| 30 |
+
ToBowlSplitA_GR1ArmsAndWaistFour
|
| 31 |
+
ierHands_Env",
|
| 32 |
+
"seed": 21,
|
| 33 |
+
"pretrained_path":
|
| 34 |
+
"/mnt/data/fangyu/code/reward_ne
|
| 35 |
+
w/runs/0422_QwenLatent_13tasks_s
|
| 36 |
+
tateactionprior_50k/final_model/
|
| 37 |
+
pytorch_model.pt"
|
| 38 |
+
}
|
| 39 |
+
INFO | >> Waiting for server websocket_policy_client.py:34
|
| 40 |
+
at
|
| 41 |
+
ws://127.0.0.1:6203...
|
| 42 |
+
INFO | >> Still waiting for websocket_policy_client.py:58
|
| 43 |
+
server
|
| 44 |
+
ws://127.0.0.1:6203 ...
|
| 45 |
+
04/23 [07:29:19] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 46 |
+
server
|
| 47 |
+
ws://127.0.0.1:6203 ...
|
| 48 |
+
04/23 [07:29:21] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 49 |
+
server
|
| 50 |
+
ws://127.0.0.1:6203 ...
|
| 51 |
+
04/23 [07:29:23] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 52 |
+
server
|
| 53 |
+
ws://127.0.0.1:6203 ...
|
| 54 |
+
04/23 [07:29:25] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 55 |
+
server
|
| 56 |
+
ws://127.0.0.1:6203 ...
|
| 57 |
+
04/23 [07:29:27] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 58 |
+
server
|
| 59 |
+
ws://127.0.0.1:6203 ...
|
| 60 |
+
04/23 [07:29:29] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 61 |
+
server
|
| 62 |
+
ws://127.0.0.1:6203 ...
|
| 63 |
+
04/23 [07:29:31] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 64 |
+
server
|
| 65 |
+
ws://127.0.0.1:6203 ...
|
| 66 |
+
04/23 [07:29:33] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 67 |
+
server
|
| 68 |
+
ws://127.0.0.1:6203 ...
|
| 69 |
+
04/23 [07:29:36] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 70 |
+
server
|
| 71 |
+
ws://127.0.0.1:6203 ...
|
| 72 |
+
04/23 [07:29:38] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 73 |
+
server
|
| 74 |
+
ws://127.0.0.1:6203 ...
|
| 75 |
+
04/23 [07:29:40] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 76 |
+
server
|
| 77 |
+
ws://127.0.0.1:6203 ...
|
| 78 |
+
04/23 [07:29:42] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 79 |
+
server
|
| 80 |
+
ws://127.0.0.1:6203 ...
|
| 81 |
+
04/23 [07:29:44] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 82 |
+
server
|
| 83 |
+
ws://127.0.0.1:6203 ...
|
| 84 |
+
04/23 [07:29:46] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 85 |
+
server
|
| 86 |
+
ws://127.0.0.1:6203 ...
|
| 87 |
+
04/23 [07:29:48] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 88 |
+
server
|
| 89 |
+
ws://127.0.0.1:6203 ...
|
| 90 |
+
04/23 [07:29:50] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 91 |
+
server
|
| 92 |
+
ws://127.0.0.1:6203 ...
|
| 93 |
+
04/23 [07:29:52] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 94 |
+
server
|
| 95 |
+
ws://127.0.0.1:6203 ...
|
| 96 |
+
04/23 [07:29:54] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 97 |
+
server
|
| 98 |
+
ws://127.0.0.1:6203 ...
|
| 99 |
+
04/23 [07:29:56] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 100 |
+
server
|
| 101 |
+
ws://127.0.0.1:6203 ...
|
| 102 |
+
04/23 [07:29:58] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 103 |
+
server
|
| 104 |
+
ws://127.0.0.1:6203 ...
|
| 105 |
+
04/23 [07:30:00] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 106 |
+
server
|
| 107 |
+
ws://127.0.0.1:6203 ...
|
| 108 |
+
04/23 [07:30:02] INFO | >> Still waiting for websocket_policy_client.py:58
|
| 109 |
+
server
|
| 110 |
+
ws://127.0.0.1:6203 ...
|
| 111 |
+
*** policy_setup: gr1, unnorm_key: gr1 ***
|
| 112 |
+
04/23 [07:30:04] INFO | >> [*] Loading from local share_tools.py:276
|
| 113 |
+
checkpoint path
|
| 114 |
+
`/mnt/data/fangyu/code/reward_new/r
|
| 115 |
+
uns/0422_QwenLatent_13tasks_stateac
|
| 116 |
+
tionprior_50k/final_model/pytorch_m
|
| 117 |
+
odel.pt`
|
| 118 |
+
Running 50 episodes for gr1_unified/PosttrainPnPNovelFromPlateToBowlSplitA_GR1ArmsAndWaistFourierHands_Env with 1 environments
|
| 119 |
+
04/23 [07:30:08] INFO | >> No OpenGL_accelerate acceleratesupport.py:24
|
| 120 |
+
module loaded: No module named
|
| 121 |
+
'OpenGL_accelerate'
|
| 122 |
+
/mnt/data/.cache/conda/envs/robocasa/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:158: UserWarning: [33mWARN: The obs returned by the `reset()` method is not within the observation space.[0m
|
| 123 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 124 |
+
/mnt/data/.cache/conda/envs/robocasa/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:158: UserWarning: [33mWARN: The obs returned by the `step()` method is not within the observation space.[0m
|
| 125 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 126 |
+
WARNING: _load_model has been called over 10 times!
|
| 127 |
+
WARNING: _load_model has been called over 20 times!
|
| 128 |
+
WARNING: _load_model has been called over 30 times!
|
| 129 |
+
WARNING: _load_model has been called over 40 times!
|
| 130 |
+
WARNING: _load_model has been called over 50 times!
|
| 131 |
+
Collecting 50 episodes took 3771.26 seconds
|
| 132 |
+
Results for gr1_unified/PosttrainPnPNovelFromPlateToBowlSplitA_GR1ArmsAndWaistFourierHands_Env:
|
| 133 |
+
Success rate: 0.22
|
0422_QwenLatent_13tasks_stateactionprior_50k/final_model/pytorch_model.pt.log/eval_20260423_072740/eval_env_gr1_unified_PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env_gpu4.log
ADDED
|
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|
|
| 1 |
+
[robosuite WARNING] No private macro file found! (macros.py:53)
|
| 2 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:54)
|
| 3 |
+
[robosuite WARNING] To setup, run: python /mnt/data/fangyu/code/github/robosuite/robosuite/scripts/setup_macros.py (macros.py:55)
|
| 4 |
+
[robosuite WARNING] Could not import robosuite_models. Some robots may not be available. If you want to use these robots, please install robosuite_models from source (https://github.com/ARISE-Initiative/robosuite_models) or through pip install. (__init__.py:30)
|
| 5 |
+
[robosuite WARNING] No private macro file found! (macros.py:28)
|
| 6 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:29)
|
| 7 |
+
[robosuite WARNING] To setup, run: python /mnt/data/fangyu/code/github/robocasa-gr1-tabletop-tasks/robocasa/scripts/setup_macros.py (macros.py:30)
|
| 8 |
+
/mnt/data/.cache/conda/envs/robocasa/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.8 (you have 1.4.18). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
|
| 9 |
+
check_for_updates()
|
| 10 |
+
WARNING: mimicgen environments not imported since mimicgen is not installed!
|
| 11 |
+
🚨 `examples` is part of ActionModel.forward's signature, but not documented. Make sure to add it to the docstring of the function in /mnt/data/fangyu/code/reward_new/starVLA/model/modules/action_model/ActionModel.py.
|
| 12 |
+
04/23 [07:29:23] INFO | >> Arguments: { simulation_env.py:300
|
| 13 |
+
"host": "127.0.0.1",
|
| 14 |
+
"port": 6204,
|
| 15 |
+
"env_name":
|
| 16 |
+
"gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplit
|
| 17 |
+
A_GR1ArmsAndWaistFourierHands_Env",
|
| 18 |
+
"n_episodes": 50,
|
| 19 |
+
"n_envs": 1,
|
| 20 |
+
"max_episode_steps": 720,
|
| 21 |
+
"n_action_steps": 10,
|
| 22 |
+
"video_out_path":
|
| 23 |
+
"/mnt/data/fangyu/code/reward_new/runs/0422_QwenLatent_13
|
| 24 |
+
tasks_stateactionprior_50k/videos/pytorch_model/n_action_
|
| 25 |
+
steps_10_max_episode_steps_720_n_envs_1_gr1_unified/Postt
|
| 26 |
+
rainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistF
|
| 27 |
+
ourierHands_Env",
|
| 28 |
+
"seed": 21,
|
| 29 |
+
"pretrained_path":
|
| 30 |
+
"/mnt/data/fangyu/code/reward_new/runs/0422_QwenLatent_13
|
| 31 |
+
tasks_stateactionprior_50k/final_model/pytorch_model.pt"
|
| 32 |
+
}
|
| 33 |
+
INFO | >> Waiting for server at ws://127.0.0.1:6204... websocket_policy_client.py:34
|
| 34 |
+
INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 35 |
+
...
|
| 36 |
+
04/23 [07:29:25] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 37 |
+
...
|
| 38 |
+
04/23 [07:29:27] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 39 |
+
...
|
| 40 |
+
04/23 [07:29:29] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 41 |
+
...
|
| 42 |
+
04/23 [07:29:31] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 43 |
+
...
|
| 44 |
+
04/23 [07:29:33] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 45 |
+
...
|
| 46 |
+
04/23 [07:29:35] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 47 |
+
...
|
| 48 |
+
04/23 [07:29:37] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 49 |
+
...
|
| 50 |
+
04/23 [07:29:39] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 51 |
+
...
|
| 52 |
+
04/23 [07:29:41] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 53 |
+
...
|
| 54 |
+
04/23 [07:29:43] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 55 |
+
...
|
| 56 |
+
04/23 [07:29:45] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 57 |
+
...
|
| 58 |
+
04/23 [07:29:47] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 59 |
+
...
|
| 60 |
+
04/23 [07:29:49] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 61 |
+
...
|
| 62 |
+
04/23 [07:29:51] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 63 |
+
...
|
| 64 |
+
04/23 [07:29:53] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 65 |
+
...
|
| 66 |
+
04/23 [07:29:55] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 67 |
+
...
|
| 68 |
+
04/23 [07:29:57] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 69 |
+
...
|
| 70 |
+
04/23 [07:29:59] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 71 |
+
...
|
| 72 |
+
04/23 [07:30:01] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 73 |
+
...
|
| 74 |
+
04/23 [07:30:03] INFO | >> Still waiting for server ws://127.0.0.1:6204 websocket_policy_client.py:58
|
| 75 |
+
...
|
| 76 |
+
*** policy_setup: gr1, unnorm_key: gr1 ***
|
| 77 |
+
04/23 [07:30:05] INFO | >> [*] Loading from local checkpoint path share_tools.py:276
|
| 78 |
+
`/mnt/data/fangyu/code/reward_new/runs/0422_QwenLatent_13tas
|
| 79 |
+
ks_stateactionprior_50k/final_model/pytorch_model.pt`
|
| 80 |
+
Running 50 episodes for gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env with 1 environments
|
| 81 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 82 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 83 |
+
04/23 [07:30:07] INFO | >> No OpenGL_accelerate module loaded: No module acceleratesupport.py:24
|
| 84 |
+
named 'OpenGL_accelerate'
|
| 85 |
+
/mnt/data/.cache/conda/envs/robocasa/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:158: UserWarning: [33mWARN: The obs returned by the `reset()` method is not within the observation space.[0m
|
| 86 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 87 |
+
/mnt/data/.cache/conda/envs/robocasa/lib/python3.10/site-packages/gymnasium/utils/passive_env_checker.py:158: UserWarning: [33mWARN: The obs returned by the `step()` method is not within the observation space.[0m
|
| 88 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 89 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 90 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 91 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 92 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 93 |
+
WARNING: _load_model has been called over 10 times!
|
| 94 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 95 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 96 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 97 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 98 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 99 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 100 |
+
WARNING: _load_model has been called over 20 times!
|
| 101 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 102 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 103 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 104 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 105 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 106 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 107 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 108 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 109 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 110 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 111 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 112 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 113 |
+
WARNING: _load_model has been called over 30 times!
|
| 114 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 115 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 116 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 117 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 118 |
+
WARNING: _load_model has been called over 40 times!
|
| 119 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 120 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 121 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 122 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 123 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 124 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 125 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 126 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 127 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 128 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 129 |
+
WARNING: _load_model has been called over 50 times!
|
| 130 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 131 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 132 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 133 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 134 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 135 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 136 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 137 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 138 |
+
WARNING: No object files found for category 'book' in registry 'sketchfab'. Check if registry is installed and up to date.
|
| 139 |
+
No valid object found for distractor_obj_back_edge_type_0_num_0, skip this object config
|
| 140 |
+
Collecting 50 episodes took 3484.76 seconds
|
| 141 |
+
Results for gr1_unified/PosttrainPnPNovelFromTrayToCardboardboxSplitA_GR1ArmsAndWaistFourierHands_Env:
|
| 142 |
+
Success rate: 0.44
|
0422_QwenLatent_13tasks_stateactionprior_50k/final_model/pytorch_model.pt.log/eval_20260423_072740/server_gpu0_port6200.log
ADDED
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@@ -0,0 +1,10 @@
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|
| 1 |
+
/mnt/data/.cache/conda/envs/vla_2/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.8 (you have 1.4.18). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
|
| 2 |
+
check_for_updates()
|
| 3 |
+
INFO:starVLA.model.framework.share_tools:[*] Loading from local checkpoint path `/mnt/data/fangyu/code/reward_new/runs/0422_QwenLatent_13tasks_stateactionprior_50k/final_model/pytorch_model.pt`
|
| 4 |
+
`torch_dtype` is deprecated! Use `dtype` instead!
|
| 5 |
+
INFO:root:Creating server (host: 10-116-218-71, ip: 169.254.95.120)
|
| 6 |
+
INFO:root:server running ...
|
| 7 |
+
INFO:websockets.server:server listening on 0.0.0.0:6200
|
| 8 |
+
INFO:websockets.server:connection open
|
| 9 |
+
INFO:root:Connection from ('127.0.0.1', 45906) opened
|
| 10 |
+
INFO:root:Connection from ('127.0.0.1', 45906) closed
|
0422_QwenLatent_13tasks_stateactionprior_50k/final_model/pytorch_model.pt.log/eval_20260423_072740/server_gpu1_port6201.log
ADDED
|
@@ -0,0 +1,10 @@
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|
| 1 |
+
/mnt/data/.cache/conda/envs/vla_2/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.8 (you have 1.4.18). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
|
| 2 |
+
check_for_updates()
|
| 3 |
+
INFO:starVLA.model.framework.share_tools:[*] Loading from local checkpoint path `/mnt/data/fangyu/code/reward_new/runs/0422_QwenLatent_13tasks_stateactionprior_50k/final_model/pytorch_model.pt`
|
| 4 |
+
`torch_dtype` is deprecated! Use `dtype` instead!
|
| 5 |
+
INFO:root:Creating server (host: 10-116-218-71, ip: 169.254.95.120)
|
| 6 |
+
INFO:root:server running ...
|
| 7 |
+
INFO:websockets.server:server listening on 0.0.0.0:6201
|
| 8 |
+
INFO:websockets.server:connection open
|
| 9 |
+
INFO:root:Connection from ('127.0.0.1', 36460) opened
|
| 10 |
+
INFO:root:Connection from ('127.0.0.1', 36460) closed
|
0422_QwenLatent_13tasks_stateactionprior_50k/final_model/pytorch_model.pt.log/eval_20260423_072740/server_gpu2_port6202.log
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
/mnt/data/.cache/conda/envs/vla_2/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.8 (you have 1.4.18). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
|
| 2 |
+
check_for_updates()
|
| 3 |
+
INFO:starVLA.model.framework.share_tools:[*] Loading from local checkpoint path `/mnt/data/fangyu/code/reward_new/runs/0422_QwenLatent_13tasks_stateactionprior_50k/final_model/pytorch_model.pt`
|
| 4 |
+
`torch_dtype` is deprecated! Use `dtype` instead!
|
| 5 |
+
INFO:root:Creating server (host: 10-116-218-71, ip: 169.254.95.120)
|
| 6 |
+
INFO:root:server running ...
|
| 7 |
+
INFO:websockets.server:server listening on 0.0.0.0:6202
|
| 8 |
+
INFO:websockets.server:connection open
|
| 9 |
+
INFO:root:Connection from ('127.0.0.1', 60892) opened
|
| 10 |
+
INFO:root:Connection from ('127.0.0.1', 60892) closed
|
0422_QwenLatent_13tasks_stateactionprior_50k/final_model/pytorch_model.pt.log/eval_20260423_072740/server_gpu3_port6203.log
ADDED
|
@@ -0,0 +1,10 @@
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
/mnt/data/.cache/conda/envs/vla_2/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.8 (you have 1.4.18). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
|
| 2 |
+
check_for_updates()
|
| 3 |
+
INFO:starVLA.model.framework.share_tools:[*] Loading from local checkpoint path `/mnt/data/fangyu/code/reward_new/runs/0422_QwenLatent_13tasks_stateactionprior_50k/final_model/pytorch_model.pt`
|
| 4 |
+
`torch_dtype` is deprecated! Use `dtype` instead!
|
| 5 |
+
INFO:root:Creating server (host: 10-116-218-71, ip: 169.254.95.120)
|
| 6 |
+
INFO:root:server running ...
|
| 7 |
+
INFO:websockets.server:server listening on 0.0.0.0:6203
|
| 8 |
+
INFO:websockets.server:connection open
|
| 9 |
+
INFO:root:Connection from ('127.0.0.1', 35756) opened
|
| 10 |
+
INFO:root:Connection from ('127.0.0.1', 35756) closed
|
0422_QwenLatent_13tasks_stateactionprior_50k/final_model/pytorch_model.pt.log/eval_20260423_072740/server_gpu4_port6204.log
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
/mnt/data/.cache/conda/envs/vla_2/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.8 (you have 1.4.18). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
|
| 2 |
+
check_for_updates()
|
| 3 |
+
INFO:starVLA.model.framework.share_tools:[*] Loading from local checkpoint path `/mnt/data/fangyu/code/reward_new/runs/0422_QwenLatent_13tasks_stateactionprior_50k/final_model/pytorch_model.pt`
|
| 4 |
+
`torch_dtype` is deprecated! Use `dtype` instead!
|
| 5 |
+
INFO:root:Creating server (host: 10-116-218-71, ip: 169.254.95.120)
|
| 6 |
+
INFO:root:server running ...
|
| 7 |
+
INFO:websockets.server:server listening on 0.0.0.0:6204
|
| 8 |
+
INFO:websockets.server:connection open
|
| 9 |
+
INFO:root:Connection from ('127.0.0.1', 38690) opened
|
| 10 |
+
INFO:root:Connection from ('127.0.0.1', 38690) closed
|
0422_QwenLatent_13tasks_stateactionprior_50k/run_qwenlatent_vla.sh
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
+
#export NCCL_SOCKET_IFNAME=bond0
|
| 2 |
+
#export NCCL_IB_HCA=mlx5_2,mlx5_3
|
| 3 |
+
|
| 4 |
+
export NCCL_BLOCKING_WAIT=1
|
| 5 |
+
export NCCL_ASYNC_ERROR_HANDLING=1
|
| 6 |
+
export NCCL_TIMEOUT=1000 # timeout set to 1 hour (unit: seconds)
|
| 7 |
+
export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
|
| 8 |
+
|
| 9 |
+
# === Please modify the following paths according to your environment ===
|
| 10 |
+
###########################################################################################
|
| 11 |
+
run_root_dir=./runs
|
| 12 |
+
run_id=0422_QwenLatent_13tasks_stateactionprior_50k
|
| 13 |
+
###########################################################################################
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
output_dir=${run_root_dir}/${run_id}
|
| 17 |
+
mkdir -p ${output_dir}
|
| 18 |
+
# mv this script to the output dir
|
| 19 |
+
cp $0 ${output_dir}/
|
| 20 |
+
|
| 21 |
+
accelerate launch \
|
| 22 |
+
--config_file ./starVLA/config/deepseeds/deepspeed_zero2.yaml \
|
| 23 |
+
--num_processes 8 \
|
| 24 |
+
starVLA/training/train_qwenlatent.py \
|
| 25 |
+
--config_yaml ./starVLA/config/training/starvla_train_qwenlatent_oxe.yaml \
|
| 26 |
+
--run_root_dir ${run_root_dir} \
|
| 27 |
+
--run_id ${run_id} \
|
0422_QwenLatent_13tasks_stateactionprior_50k/summary.jsonl
ADDED
|
@@ -0,0 +1,10 @@
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|
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|
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|
|
| 1 |
+
{"steps": 5000}
|
| 2 |
+
{"steps": 10000}
|
| 3 |
+
{"steps": 15000}
|
| 4 |
+
{"steps": 20000}
|
| 5 |
+
{"steps": 25000}
|
| 6 |
+
{"steps": 30000}
|
| 7 |
+
{"steps": 35000}
|
| 8 |
+
{"steps": 40000}
|
| 9 |
+
{"steps": 45000}
|
| 10 |
+
{"steps": 50000}
|
0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PnPBottleToCabinetClose_GR1ArmsAndWaistFourierHands_Env/13c9ad81-9a0d-480f-ac54-746ac042493c_success0.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:72a44f0127ce2ee42c929d7a123473c6007dcf6f727a33ccff786638f11942aa
|
| 3 |
+
size 3114504
|
0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PnPBottleToCabinetClose_GR1ArmsAndWaistFourierHands_Env/1558d30c-eb26-44de-9abb-15a3f85630bf_success0.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
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|
|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b49c3bb9c7d7b50997b279946be1e0223c65ec9de5c06578adfdf4d65676f312
|
| 3 |
+
size 3572683
|
0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PnPBottleToCabinetClose_GR1ArmsAndWaistFourierHands_Env/1886c27d-50f3-40c0-9b36-07c9e8a5e7dc_success0.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8f56ffb3e89dc653ba54524d4656135609afc19bda4763aad78c86df49bc5352
|
| 3 |
+
size 4980146
|
0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PnPBottleToCabinetClose_GR1ArmsAndWaistFourierHands_Env/1a834c82-bd05-4d1d-bea0-ae5b81439667_success0.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:43667f459ddc57ef844eed9ee0924b5fb76583b96bce8acd286d0561bd2637ba
|
| 3 |
+
size 2955014
|
0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PnPBottleToCabinetClose_GR1ArmsAndWaistFourierHands_Env/1ecefa63-2f41-4f51-8c76-65eeecd87b0a_success0.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f2a6d986c0fd2ffe8ae12cf578433d5eab8555fc86f52f228e332b874fcbba97
|
| 3 |
+
size 4828977
|
0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PnPBottleToCabinetClose_GR1ArmsAndWaistFourierHands_Env/1ed0692c-35e6-4701-8a03-f6ab1f33da3a_success1.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e5a76110620671f6a8e460eb1105a67e0f348b5e56d19fd7bc564b64437be2cf
|
| 3 |
+
size 4024371
|
0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PnPBottleToCabinetClose_GR1ArmsAndWaistFourierHands_Env/215191ea-64e8-4f6d-9472-0951de95e82b_success0.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:63c821a4e94900b839d7d39221bf9275ecabc3bd93e61ab45838f5b93a21e465
|
| 3 |
+
size 2964010
|
0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PnPBottleToCabinetClose_GR1ArmsAndWaistFourierHands_Env/2b70188f-41c6-407d-8a68-4da431935733_success1.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:400987d55f0663e180d121ad94539f9bbf81e77cb5927ce2672d7161e0c83f76
|
| 3 |
+
size 2385558
|
0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PnPBottleToCabinetClose_GR1ArmsAndWaistFourierHands_Env/2d7b2ba7-90b1-4d69-b770-fb95fa93609b_success0.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:323758ceae44e34c41a3f905100c998d2b3930818dec8c23519051492dcd9a2b
|
| 3 |
+
size 2782537
|
0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PnPBottleToCabinetClose_GR1ArmsAndWaistFourierHands_Env/35b6e3fb-dc69-4125-bb00-bfc257d783a6_success1.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6a560c8dc89e865fb038265b395cfaab42a5315d8405ed087f30f447f84852f7
|
| 3 |
+
size 2551706
|
0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PnPBottleToCabinetClose_GR1ArmsAndWaistFourierHands_Env/3a59ca5d-0958-4f7b-8a7c-d47186ef869c_success1.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:48e89dbbfbc78fa30d58f3509f2a1b3ba6bca793432ab48b97a15e1104573a53
|
| 3 |
+
size 2736760
|
0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PnPBottleToCabinetClose_GR1ArmsAndWaistFourierHands_Env/4073c353-63b8-4273-8461-016caf28d2c6_success0.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff37613584d14fde61a7737be331d5f7e4f75014b14444758e473b4e6c8760de
|
| 3 |
+
size 2878371
|
0422_QwenLatent_13tasks_stateactionprior_50k/videos/pytorch_model/n_action_steps_10_max_episode_steps_720_n_envs_1_gr1_unified/PnPBottleToCabinetClose_GR1ArmsAndWaistFourierHands_Env/46cf7894-d0f8-41ef-a954-f5850ea70cab_success0.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
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