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- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/resolved_config.yaml +28 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/seed2.yaml +27 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-12000/config.json +64 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-12000/experiment_cfg/metadata.json +431 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-12000/model.safetensors.index.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-12000/trainer_state.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-2000/config.json +64 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-2000/experiment_cfg/metadata.json +431 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-2000/model.safetensors.index.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-2000/trainer_state.json +1434 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/config.json +64 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/eval_seed42_atomic39_nenv10_ep50_no_video/checkpoint-5000/eval.log +91 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/eval_seed42_atomic39_nenv10_ep50_no_video/checkpoint-5000/eval_manifest.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/eval.log +374 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/eval_manifest.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/evals/pretrain/CloseCabinet/0caec9c0-f415-4b4a-ad57-f2fe4affb52d.mp4 +0 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/evals/pretrain/CloseCabinet/251c4d19-f091-47d1-abd1-91ba6dfae820.mp4 +0 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/experiment_cfg/metadata.json +431 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/model.safetensors.index.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/trainer_state.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/seed0.yaml +28 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-12000/config.json +64 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-12000/experiment_cfg/metadata.json +431 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-12000/model.safetensors.index.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-12000/trainer_state.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-2000/experiment_cfg/metadata.json +431 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-2000/model.safetensors.index.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-2000/trainer_state.json +1434 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-5000/config.json +64 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-5000/experiment_cfg/metadata.json +431 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-5000/model.safetensors.index.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-5000/trainer_state.json +3534 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-8000/config.json +64 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-8000/experiment_cfg/metadata.json +431 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-8000/model.safetensors.index.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-8000/trainer_state.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_no_video/checkpoint-5000/eval.log +212 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_no_video/checkpoint-5000/eval_manifest.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/eval.log +0 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/eval_manifest.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/evals/pretrain/CheesyBread/episode_results.json +602 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/evals/pretrain/CheesyBread/stats.json +606 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/summary.txt +111 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-8000/eval.log +171 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-8000/eval_manifest.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/experiment_cfg/metadata.json +431 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/model.safetensors.index.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/trainer_state.json +0 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed1/default/train_5shot_seed1_processingline_12k/checkpoint-5000/experiment_cfg/metadata.json +431 -0
- FewShot/39tasks/5shot/FromBaseline26_Processingline/seed1/default/train_5shot_seed1_processingline_12k/checkpoint-8000/experiment_cfg/metadata.json +431 -0
FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/resolved_config.yaml
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experiment_name: fewshot_39tasks_5shot_from_baseline26_fullactionhead_seed2
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policy_type: baseline
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base_model_path: ${HOME}/groot_robocasa/Atomic26_baseline/checkpoint-120000
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output_root: ${HOME}/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2
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dataset:
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dataset_soup: fewshot_heldout_atomic39_human_5shot
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training:
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num_gpus: 1
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batch_size: 64
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seed: 42
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filter_key_seed: 2
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manifest_path: ${HOME}/clvla/benchmarks/robocasa_v2/my_scripts/Fewshot/manifests/fewshot_heldout_atomic39/shot5_seed2.json
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save_total_limit: 4
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phases:
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- name: train_5shot_seed2_fullactionhead_12k
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max_steps: 12000
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save_steps: 0
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save_step_list:
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- 2000
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- 5000
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- 8000
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- 12000
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trainable:
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tune_llm: false
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tune_visual: false
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tune_projector: true
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tune_diffusion_model: true
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resolved_sweep: {}
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FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/seed2.yaml
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experiment_name: fewshot_39tasks_5shot_from_baseline26_fullactionhead_seed2
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policy_type: baseline
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base_model_path: ${HOME}/groot_robocasa/Atomic26_baseline/checkpoint-120000
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output_root: ${HOME}/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2
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dataset:
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dataset_soup: fewshot_heldout_atomic39_human_5shot
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training:
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num_gpus: 1
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batch_size: 64
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seed: 42
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filter_key_seed: 2
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manifest_path: ${HOME}/clvla/benchmarks/robocasa_v2/my_scripts/Fewshot/manifests/fewshot_heldout_atomic39/shot5_seed2.json
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save_total_limit: 4
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phases:
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- name: train_5shot_seed2_fullactionhead_12k
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max_steps: 12000
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save_steps: 0
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save_step_list:
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- 2000
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- 5000
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- 8000
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- 12000
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trainable:
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tune_llm: false
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tune_visual: false
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tune_projector: true
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tune_diffusion_model: true
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FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-12000/config.json
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{
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"action_dim": 32,
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"action_head_cfg": {
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"action_dim": 32,
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"action_horizon": 16,
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"add_pos_embed": true,
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"backbone_embedding_dim": 2048,
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"diffusion_model_cfg": {
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"attention_head_dim": 48,
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"cross_attention_dim": 2048,
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"dropout": 0.2,
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"final_dropout": true,
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"interleave_self_attention": true,
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"norm_type": "ada_norm",
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"num_attention_heads": 32,
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"num_layers": 16,
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"output_dim": 1024,
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"positional_embeddings": null
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},
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"hidden_size": 1024,
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"input_embedding_dim": 1536,
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"max_action_dim": 32,
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"max_state_dim": 64,
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"model_dtype": "float32",
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"noise_beta_alpha": 1.5,
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"noise_beta_beta": 1.0,
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"noise_s": 0.999,
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"num_inference_timesteps": 4,
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"num_target_vision_tokens": 32,
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"num_timestep_buckets": 1000,
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"tune_diffusion_model": true,
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"tune_projector": true,
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"use_vlln": true,
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"vl_self_attention_cfg": {
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"attention_head_dim": 64,
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"dropout": 0.2,
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"final_dropout": true,
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"num_attention_heads": 32,
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"num_layers": 4,
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"positional_embeddings": null
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}
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},
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"action_horizon": 16,
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| 44 |
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"architectures": [
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"GR00T_N1_5"
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],
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| 47 |
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"attn_implementation": null,
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| 48 |
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"backbone_cfg": {
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| 49 |
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"eagle_path": "NVEagle/eagle_er-qwen3_1_7B-Siglip2_400M_stage1_5_128gpu_er_v7_1mlp_nops",
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| 50 |
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"load_bf16": false,
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| 51 |
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"project_to_dim": null,
|
| 52 |
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"reproject_vision": false,
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| 53 |
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"select_layer": 12,
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| 54 |
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"tune_llm": false,
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| 55 |
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"tune_visual": true,
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| 56 |
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"use_flash_attention": true
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},
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"compute_dtype": "bfloat16",
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"hidden_size": 2048,
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"model_dtype": "float32",
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"model_type": "gr00t_n1_5",
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| 62 |
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"torch_dtype": "bfloat16",
|
| 63 |
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"transformers_version": "4.51.3"
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| 64 |
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}
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FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-12000/experiment_cfg/metadata.json
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|
FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-12000/model.safetensors.index.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-12000/trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-2000/config.json
ADDED
|
@@ -0,0 +1,64 @@
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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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{
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| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
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|
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|
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|
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|
| 22 |
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|
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|
| 24 |
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|
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|
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|
| 27 |
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|
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|
| 29 |
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|
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
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|
| 37 |
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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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|
| 50 |
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|
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|
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|
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-2000/experiment_cfg/metadata.json
ADDED
|
@@ -0,0 +1,431 @@
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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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+
"rotation_type": null,
|
| 422 |
+
"shape": [
|
| 423 |
+
1
|
| 424 |
+
],
|
| 425 |
+
"continuous": true
|
| 426 |
+
}
|
| 427 |
+
}
|
| 428 |
+
},
|
| 429 |
+
"embodiment_tag": "new_embodiment"
|
| 430 |
+
}
|
| 431 |
+
}
|
FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-2000/model.safetensors.index.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-2000/trainer_state.json
ADDED
|
@@ -0,0 +1,1434 @@
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|
FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/config.json
ADDED
|
@@ -0,0 +1,64 @@
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|
| 1 |
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{
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| 4 |
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|
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|
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|
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|
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
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|
| 18 |
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|
| 19 |
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|
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|
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|
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|
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|
| 24 |
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"model_dtype": "float32",
|
| 25 |
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"noise_beta_alpha": 1.5,
|
| 26 |
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"noise_beta_beta": 1.0,
|
| 27 |
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"noise_s": 0.999,
|
| 28 |
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"num_inference_timesteps": 4,
|
| 29 |
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"num_target_vision_tokens": 32,
|
| 30 |
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|
| 31 |
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"tune_diffusion_model": true,
|
| 32 |
+
"tune_projector": true,
|
| 33 |
+
"use_vlln": true,
|
| 34 |
+
"vl_self_attention_cfg": {
|
| 35 |
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"attention_head_dim": 64,
|
| 36 |
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"dropout": 0.2,
|
| 37 |
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"final_dropout": true,
|
| 38 |
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"num_attention_heads": 32,
|
| 39 |
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"num_layers": 4,
|
| 40 |
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|
| 41 |
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}
|
| 42 |
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},
|
| 43 |
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"action_horizon": 16,
|
| 44 |
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"architectures": [
|
| 45 |
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"GR00T_N1_5"
|
| 46 |
+
],
|
| 47 |
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|
| 48 |
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"backbone_cfg": {
|
| 49 |
+
"eagle_path": "NVEagle/eagle_er-qwen3_1_7B-Siglip2_400M_stage1_5_128gpu_er_v7_1mlp_nops",
|
| 50 |
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"load_bf16": false,
|
| 51 |
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|
| 52 |
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|
| 53 |
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"select_layer": 12,
|
| 54 |
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"tune_llm": false,
|
| 55 |
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"tune_visual": true,
|
| 56 |
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"use_flash_attention": true
|
| 57 |
+
},
|
| 58 |
+
"compute_dtype": "bfloat16",
|
| 59 |
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"hidden_size": 2048,
|
| 60 |
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"model_dtype": "float32",
|
| 61 |
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"model_type": "gr00t_n1_5",
|
| 62 |
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"torch_dtype": "bfloat16",
|
| 63 |
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"transformers_version": "4.51.3"
|
| 64 |
+
}
|
FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/eval_seed42_atomic39_nenv10_ep50_no_video/checkpoint-5000/eval.log
ADDED
|
@@ -0,0 +1,91 @@
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| 1 |
+
[Thu Jul 2 10:03:33 KST 2026] START gpu=0 port=18652 ckpt=5000
|
| 2 |
+
model_path=/home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-5000
|
| 3 |
+
video_dir=/home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/eval_seed42_atomic39_nenv10_ep50_no_video/checkpoint-5000
|
| 4 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 5 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 6 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 7 |
+
[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)
|
| 8 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 9 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 10 |
+
check_for_updates()
|
| 11 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 12 |
+
WARNING: mimicgen environments not imported since mimicgen is not installed!
|
| 13 |
+
Model not found or avail in the huggingface hub. Loading from local path: /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-5000
|
| 14 |
+
Loading pretrained dual brain from /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-5000
|
| 15 |
+
Tune backbone vision tower: True
|
| 16 |
+
Tune backbone LLM: False
|
| 17 |
+
Tune action head projector: True
|
| 18 |
+
Tune action head DiT: True
|
| 19 |
+
Model not found or avail in the huggingface hub. Loading from local path: /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-5000
|
| 20 |
+
Available modality configs:
|
| 21 |
+
Tune backbone llm: False
|
| 22 |
+
Tune backbone visual: True
|
| 23 |
+
Total number of DiT parameters: 550386688
|
| 24 |
+
Total number of SelfAttentionTransformer parameters: 201433088
|
| 25 |
+
Tune action head projector: True
|
| 26 |
+
Tune action head diffusion model: True
|
| 27 |
+
|
| 28 |
+
/home/seonho/clvla/benchmarks/robocasa_v2/Isaac-GR00T/gr00t/data/transform/state_action.py:257: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.detach().clone() or sourceTensor.detach().clone().requires_grad_(True), rather than torch.tensor(sourceTensor).
|
| 29 |
+
self.statistics[key] = torch.tensor(value)
|
| 30 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 31 |
+
Tune backbone llm: False
|
| 32 |
+
Tune backbone visual: True
|
| 33 |
+
Tune action head projector: True
|
| 34 |
+
Tune action head diffusion model: True
|
| 35 |
+
Set action denoising steps to 4
|
| 36 |
+
Server is ready and listening on tcp://0.0.0.0:18652
|
| 37 |
+
dict_keys(['video', 'state', 'action', 'language'])
|
| 38 |
+
Fewshot video recording: off
|
| 39 |
+
Running simulation for CheesyBread...
|
| 40 |
+
Running 50 episodes for robocasa/CheesyBread with 10 environments
|
| 41 |
+
Creating CheesyBread with split=pretrain
|
| 42 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 43 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 44 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 45 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 46 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 47 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 48 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 49 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 50 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 51 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 52 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 53 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 54 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 55 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 56 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 57 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 58 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 59 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 60 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 61 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 62 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 63 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 64 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 65 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 66 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 67 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 68 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 69 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 70 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 71 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 72 |
+
[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)
|
| 73 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 74 |
+
[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)
|
| 75 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 76 |
+
[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)
|
| 77 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 78 |
+
[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)
|
| 79 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 80 |
+
[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)
|
| 81 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 82 |
+
[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)
|
| 83 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 84 |
+
[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)
|
| 85 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 86 |
+
[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)
|
| 87 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 88 |
+
[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)
|
| 89 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 90 |
+
[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)
|
| 91 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/eval_seed42_atomic39_nenv10_ep50_no_video/checkpoint-5000/eval_manifest.json
ADDED
|
The diff for this file is too large to render.
See raw diff
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|
FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/eval.log
ADDED
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|
| 1 |
+
[Thu Jul 2 10:04:13 KST 2026] START gpu=0 port=18652 ckpt=5000
|
| 2 |
+
model_path=/home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-5000
|
| 3 |
+
video_dir=/home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000
|
| 4 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 5 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 6 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 7 |
+
[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)
|
| 8 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 9 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 10 |
+
check_for_updates()
|
| 11 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 12 |
+
WARNING: mimicgen environments not imported since mimicgen is not installed!
|
| 13 |
+
Model not found or avail in the huggingface hub. Loading from local path: /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-5000
|
| 14 |
+
Loading pretrained dual brain from /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-5000
|
| 15 |
+
Tune backbone vision tower: True
|
| 16 |
+
Tune backbone LLM: False
|
| 17 |
+
Tune action head projector: True
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| 18 |
+
Tune action head DiT: True
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| 19 |
+
Model not found or avail in the huggingface hub. Loading from local path: /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/checkpoint-5000
|
| 20 |
+
Available modality configs:
|
| 21 |
+
Tune backbone llm: False
|
| 22 |
+
Tune backbone visual: True
|
| 23 |
+
Total number of DiT parameters: 550386688
|
| 24 |
+
Total number of SelfAttentionTransformer parameters: 201433088
|
| 25 |
+
Tune action head projector: True
|
| 26 |
+
Tune action head diffusion model: True
|
| 27 |
+
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| 28 |
+
/home/seonho/clvla/benchmarks/robocasa_v2/Isaac-GR00T/gr00t/data/transform/state_action.py:257: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.detach().clone() or sourceTensor.detach().clone().requires_grad_(True), rather than torch.tensor(sourceTensor).
|
| 29 |
+
self.statistics[key] = torch.tensor(value)
|
| 30 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 31 |
+
Tune backbone llm: False
|
| 32 |
+
Tune backbone visual: True
|
| 33 |
+
Tune action head projector: True
|
| 34 |
+
Tune action head diffusion model: True
|
| 35 |
+
Set action denoising steps to 4
|
| 36 |
+
Server is ready and listening on tcp://0.0.0.0:18652
|
| 37 |
+
dict_keys(['video', 'state', 'action', 'language'])
|
| 38 |
+
Fewshot video recording: on
|
| 39 |
+
Running simulation for CheesyBread...
|
| 40 |
+
Running 50 episodes for robocasa/CheesyBread with 10 environments
|
| 41 |
+
Creating CheesyBread with split=pretrain
|
| 42 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 43 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 44 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 45 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 46 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 47 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 48 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 49 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 50 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 51 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 52 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 53 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 54 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 55 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 56 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 57 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 58 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 59 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 60 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 61 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 62 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 63 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 64 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 65 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 66 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 67 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 68 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 69 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 70 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 71 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 72 |
+
[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)
|
| 73 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 74 |
+
[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)
|
| 75 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 76 |
+
[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)
|
| 77 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 78 |
+
[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)
|
| 79 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 80 |
+
[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)
|
| 81 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 82 |
+
[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)
|
| 83 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 84 |
+
[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)
|
| 85 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 86 |
+
[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)
|
| 87 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 88 |
+
[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)
|
| 89 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 90 |
+
[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)
|
| 91 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 92 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 93 |
+
check_for_updates()
|
| 94 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 95 |
+
check_for_updates()
|
| 96 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 97 |
+
check_for_updates()
|
| 98 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 99 |
+
check_for_updates()
|
| 100 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 101 |
+
check_for_updates()
|
| 102 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 103 |
+
check_for_updates()
|
| 104 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 105 |
+
check_for_updates()
|
| 106 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 107 |
+
check_for_updates()
|
| 108 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 109 |
+
check_for_updates()
|
| 110 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 111 |
+
check_for_updates()
|
| 112 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 113 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 114 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 115 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 116 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 117 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 118 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 119 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 120 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 121 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 122 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 123 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 124 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 125 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 126 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 127 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 128 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 129 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 130 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 131 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 132 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 133 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 134 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 135 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 136 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 137 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 138 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 139 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 140 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 141 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 142 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 143 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 144 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 145 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 146 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 147 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 148 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 149 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 150 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 151 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 152 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 153 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 154 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 155 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 156 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 157 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 158 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
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logger.warn(f"{pre} is not within the observation space.")
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/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
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logger.warn(f"{pre} is not within the observation space.")
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/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
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/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
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logger.warn(f"{pre} is not within the observation space.")
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/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
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logger.warn(f"{pre} is not within the observation space.")
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/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
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/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
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logger.warn(f"{pre} is not within the observation space.")
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WARNING: mimicgen environments not imported since mimicgen is not installed!
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Creating CheesyBread with split=pretrain
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WARNING: mimicgen environments not imported since mimicgen is not installed!
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Creating CheesyBread with split=pretrain
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WARNING: mimicgen environments not imported since mimicgen is not installed!
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Creating CheesyBread with split=pretrain
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WARNING: mimicgen environments not imported since mimicgen is not installed!
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Creating CheesyBread with split=pretrain
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WARNING: mimicgen environments not imported since mimicgen is not installed!
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Creating CheesyBread with split=pretrain
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WARNING: mimicgen environments not imported since mimicgen is not installed!
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Creating CheesyBread with split=pretrain
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WARNING: mimicgen environments not imported since mimicgen is not installed!
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Creating CheesyBread with split=pretrain
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WARNING: mimicgen environments not imported since mimicgen is not installed!
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Creating CheesyBread with split=pretrain
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WARNING: mimicgen environments not imported since mimicgen is not installed!
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Creating CheesyBread with split=pretrain
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WARNING: mimicgen environments not imported since mimicgen is not installed!
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Creating CheesyBread with split=pretrain
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[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
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EP 1 success: False; Cumulative success rate: 0.0
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EP 2 success: True; Cumulative success rate: 0.5
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EP 3 success: True; Cumulative success rate: 0.6666666666666666
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EP 4 success: True; Cumulative success rate: 0.75
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EP 5 success: False; Cumulative success rate: 0.6
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EP 6 success: True; Cumulative success rate: 0.6666666666666666
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EP 7 success: True; Cumulative success rate: 0.7142857142857143
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EP 8 success: False; Cumulative success rate: 0.625
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EP 9 success: True; Cumulative success rate: 0.6666666666666666
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EP 10 success: True; Cumulative success rate: 0.7
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EP 11 success: False; Cumulative success rate: 0.6363636363636364
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EP 12 success: True; Cumulative success rate: 0.6666666666666666
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EP 13 success: False; Cumulative success rate: 0.6153846153846154
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EP 14 success: False; Cumulative success rate: 0.5714285714285714
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EP 15 success: False; Cumulative success rate: 0.5333333333333333
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EP 16 success: True; Cumulative success rate: 0.5625
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EP 17 success: False; Cumulative success rate: 0.5294117647058824
|
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EP 18 success: True; Cumulative success rate: 0.5555555555555556
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EP 19 success: False; Cumulative success rate: 0.5263157894736842
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EP 20 success: False; Cumulative success rate: 0.5
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EP 21 success: False; Cumulative success rate: 0.47619047619047616
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EP 22 success: True; Cumulative success rate: 0.5
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EP 23 success: False; Cumulative success rate: 0.4782608695652174
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EP 24 success: False; Cumulative success rate: 0.4583333333333333
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EP 25 success: True; Cumulative success rate: 0.48
|
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EP 26 success: True; Cumulative success rate: 0.5
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EP 27 success: False; Cumulative success rate: 0.48148148148148145
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EP 28 success: False; Cumulative success rate: 0.4642857142857143
|
| 221 |
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EP 29 success: False; Cumulative success rate: 0.4482758620689655
|
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EP 30 success: False; Cumulative success rate: 0.43333333333333335
|
| 223 |
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EP 31 success: False; Cumulative success rate: 0.41935483870967744
|
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EP 32 success: False; Cumulative success rate: 0.40625
|
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EP 33 success: False; Cumulative success rate: 0.3939393939393939
|
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EP 34 success: True; Cumulative success rate: 0.4117647058823529
|
| 227 |
+
EP 35 success: True; Cumulative success rate: 0.42857142857142855
|
| 228 |
+
EP 36 success: False; Cumulative success rate: 0.4166666666666667
|
| 229 |
+
EP 37 success: False; Cumulative success rate: 0.40540540540540543
|
| 230 |
+
EP 38 success: False; Cumulative success rate: 0.39473684210526316
|
| 231 |
+
EP 39 success: True; Cumulative success rate: 0.41025641025641024
|
| 232 |
+
EP 40 success: True; Cumulative success rate: 0.425
|
| 233 |
+
EP 41 success: True; Cumulative success rate: 0.43902439024390244
|
| 234 |
+
EP 42 success: False; Cumulative success rate: 0.42857142857142855
|
| 235 |
+
EP 43 success: True; Cumulative success rate: 0.4418604651162791
|
| 236 |
+
EP 44 success: True; Cumulative success rate: 0.45454545454545453
|
| 237 |
+
EP 45 success: True; Cumulative success rate: 0.4666666666666667
|
| 238 |
+
EP 46 success: False; Cumulative success rate: 0.45652173913043476
|
| 239 |
+
EP 47 success: True; Cumulative success rate: 0.46808510638297873
|
| 240 |
+
EP 48 success: False; Cumulative success rate: 0.4583333333333333
|
| 241 |
+
EP 49 success: True; Cumulative success rate: 0.46938775510204084
|
| 242 |
+
EP 50 success: False; Cumulative success rate: 0.46
|
| 243 |
+
Collecting 50 episodes took 2085.43 seconds
|
| 244 |
+
Results for CheesyBread:
|
| 245 |
+
Success rate: 0.46
|
| 246 |
+
saved stats to /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/evals/pretrain/CheesyBread/stats.json
|
| 247 |
+
saved episode results to /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/evals/pretrain/CheesyBread/episode_results.json
|
| 248 |
+
saved episode seed manifest to /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/eval_manifest.json
|
| 249 |
+
|
| 250 |
+
Running simulation for CloseCabinet...
|
| 251 |
+
Running 50 episodes for robocasa/CloseCabinet with 10 environments
|
| 252 |
+
Creating CloseCabinet with split=pretrain
|
| 253 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 254 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 255 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 256 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 257 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 258 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 259 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 260 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 261 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 262 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 263 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 264 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 265 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 266 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 267 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 268 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 269 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 270 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 271 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 272 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 273 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 274 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 275 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 276 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 277 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 278 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 279 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 280 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 281 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 282 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 283 |
+
[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)
|
| 284 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 285 |
+
[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)
|
| 286 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 287 |
+
[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)
|
| 288 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 289 |
+
[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)
|
| 290 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 291 |
+
[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)
|
| 292 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 293 |
+
[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)
|
| 294 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 295 |
+
[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)
|
| 296 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 297 |
+
[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)
|
| 298 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 299 |
+
[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)
|
| 300 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 301 |
+
[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)
|
| 302 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 303 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 304 |
+
check_for_updates()
|
| 305 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 306 |
+
check_for_updates()
|
| 307 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 308 |
+
check_for_updates()
|
| 309 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 310 |
+
check_for_updates()
|
| 311 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 312 |
+
check_for_updates()
|
| 313 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 314 |
+
check_for_updates()
|
| 315 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 316 |
+
check_for_updates()
|
| 317 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 318 |
+
check_for_updates()
|
| 319 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 320 |
+
check_for_updates()
|
| 321 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 322 |
+
check_for_updates()
|
| 323 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 324 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 325 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 326 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 327 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 328 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 329 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 330 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 331 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 332 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 333 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 334 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 335 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 336 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 337 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 338 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 339 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 340 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 341 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 342 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 343 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 344 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 345 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 346 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 347 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 348 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 349 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 350 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 351 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 352 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 353 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 354 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 355 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 356 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 357 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 358 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 359 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 360 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 361 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 362 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 363 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 364 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 365 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 366 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 367 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 368 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 369 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 370 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 371 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 372 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 373 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 374 |
+
logger.warn(f"{pre} is not within the observation space.")
|
FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/eval_manifest.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
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|
FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/evals/pretrain/CloseCabinet/0caec9c0-f415-4b4a-ad57-f2fe4affb52d.mp4
ADDED
|
Binary file (48 Bytes). View file
|
|
|
FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/evals/pretrain/CloseCabinet/251c4d19-f091-47d1-abd1-91ba6dfae820.mp4
ADDED
|
Binary file (48 Bytes). View file
|
|
|
FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/experiment_cfg/metadata.json
ADDED
|
@@ -0,0 +1,431 @@
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|
| 1 |
+
{
|
| 2 |
+
"new_embodiment": {
|
| 3 |
+
"statistics": {
|
| 4 |
+
"state": {
|
| 5 |
+
"base_position": {
|
| 6 |
+
"max": [
|
| 7 |
+
7.778976917266846,
|
| 8 |
+
0.33403685688972473,
|
| 9 |
+
0.7223060727119446
|
| 10 |
+
],
|
| 11 |
+
"min": [
|
| 12 |
+
-4.821934223175049,
|
| 13 |
+
-6.785110950469971,
|
| 14 |
+
0.6994727253913879
|
| 15 |
+
],
|
| 16 |
+
"mean": [
|
| 17 |
+
2.577927505176127,
|
| 18 |
+
-2.1525618086425604,
|
| 19 |
+
0.7003541659101092
|
| 20 |
+
],
|
| 21 |
+
"std": [
|
| 22 |
+
1.6720365948940972,
|
| 23 |
+
1.3768414767482617,
|
| 24 |
+
0.0009102921174316669
|
| 25 |
+
],
|
| 26 |
+
"q01": [
|
| 27 |
+
-0.7605057497562686,
|
| 28 |
+
-5.518671947805291,
|
| 29 |
+
0.6999764703640262
|
| 30 |
+
],
|
| 31 |
+
"q99": [
|
| 32 |
+
6.038879433964306,
|
| 33 |
+
-0.5168299981147954,
|
| 34 |
+
0.7029182461269848
|
| 35 |
+
]
|
| 36 |
+
},
|
| 37 |
+
"base_rotation": {
|
| 38 |
+
"max": [
|
| 39 |
+
0.0,
|
| 40 |
+
0.0,
|
| 41 |
+
1.0,
|
| 42 |
+
1.0
|
| 43 |
+
],
|
| 44 |
+
"min": [
|
| 45 |
+
0.0,
|
| 46 |
+
0.0,
|
| 47 |
+
-1.0,
|
| 48 |
+
0.0
|
| 49 |
+
],
|
| 50 |
+
"mean": [
|
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FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/model.safetensors.index.json
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FewShot/39tasks/5shot/FromBaseline26_FullactionHead/seed2/default/train_5shot_seed2_fullactionhead_12k/trainer_state.json
ADDED
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FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/seed0.yaml
ADDED
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experiment_name: fewshot_39tasks_5shot_from_baseline26_processingline_seed0
|
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policy_type: baseline
|
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base_model_path: ${HOME}/groot_robocasa/Atomic26_baseline/checkpoint-120000
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output_root: ${HOME}/groot_robocasa/Experiments_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0
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| 5 |
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dataset:
|
| 6 |
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dataset_soup: fewshot_heldout_atomic39_human_5shot
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batch_size: 64
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seed: 42
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save_total_limit: 4
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phases:
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- name: train_5shot_seed0_processingline_12k
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max_steps: 12000
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save_steps: 0
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FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-12000/config.json
ADDED
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|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"action_dim": 32,
|
| 3 |
+
"action_head_cfg": {
|
| 4 |
+
"action_dim": 32,
|
| 5 |
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"action_horizon": 16,
|
| 6 |
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"add_pos_embed": true,
|
| 7 |
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"backbone_embedding_dim": 2048,
|
| 8 |
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"diffusion_model_cfg": {
|
| 9 |
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"attention_head_dim": 48,
|
| 10 |
+
"cross_attention_dim": 2048,
|
| 11 |
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"dropout": 0.2,
|
| 12 |
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"final_dropout": true,
|
| 13 |
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"interleave_self_attention": true,
|
| 14 |
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"norm_type": "ada_norm",
|
| 15 |
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"num_attention_heads": 32,
|
| 16 |
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"num_layers": 16,
|
| 17 |
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"output_dim": 1024,
|
| 18 |
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"positional_embeddings": null
|
| 19 |
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},
|
| 20 |
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"hidden_size": 1024,
|
| 21 |
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"input_embedding_dim": 1536,
|
| 22 |
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"max_action_dim": 32,
|
| 23 |
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"max_state_dim": 64,
|
| 24 |
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"model_dtype": "float32",
|
| 25 |
+
"noise_beta_alpha": 1.5,
|
| 26 |
+
"noise_beta_beta": 1.0,
|
| 27 |
+
"noise_s": 0.999,
|
| 28 |
+
"num_inference_timesteps": 4,
|
| 29 |
+
"num_target_vision_tokens": 32,
|
| 30 |
+
"num_timestep_buckets": 1000,
|
| 31 |
+
"tune_diffusion_model": true,
|
| 32 |
+
"tune_projector": true,
|
| 33 |
+
"use_vlln": true,
|
| 34 |
+
"vl_self_attention_cfg": {
|
| 35 |
+
"attention_head_dim": 64,
|
| 36 |
+
"dropout": 0.2,
|
| 37 |
+
"final_dropout": true,
|
| 38 |
+
"num_attention_heads": 32,
|
| 39 |
+
"num_layers": 4,
|
| 40 |
+
"positional_embeddings": null
|
| 41 |
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}
|
| 42 |
+
},
|
| 43 |
+
"action_horizon": 16,
|
| 44 |
+
"architectures": [
|
| 45 |
+
"GR00T_N1_5"
|
| 46 |
+
],
|
| 47 |
+
"attn_implementation": null,
|
| 48 |
+
"backbone_cfg": {
|
| 49 |
+
"eagle_path": "NVEagle/eagle_er-qwen3_1_7B-Siglip2_400M_stage1_5_128gpu_er_v7_1mlp_nops",
|
| 50 |
+
"load_bf16": false,
|
| 51 |
+
"project_to_dim": null,
|
| 52 |
+
"reproject_vision": false,
|
| 53 |
+
"select_layer": 12,
|
| 54 |
+
"tune_llm": false,
|
| 55 |
+
"tune_visual": true,
|
| 56 |
+
"use_flash_attention": true
|
| 57 |
+
},
|
| 58 |
+
"compute_dtype": "bfloat16",
|
| 59 |
+
"hidden_size": 2048,
|
| 60 |
+
"model_dtype": "float32",
|
| 61 |
+
"model_type": "gr00t_n1_5",
|
| 62 |
+
"torch_dtype": "bfloat16",
|
| 63 |
+
"transformers_version": "4.51.3"
|
| 64 |
+
}
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-12000/experiment_cfg/metadata.json
ADDED
|
@@ -0,0 +1,431 @@
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| 1 |
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{
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| 2 |
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| 3 |
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FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-12000/model.safetensors.index.json
ADDED
|
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|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-12000/trainer_state.json
ADDED
|
The diff for this file is too large to render.
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|
|
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-2000/experiment_cfg/metadata.json
ADDED
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@@ -0,0 +1,431 @@
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| 357 |
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|
| 358 |
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|
| 359 |
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|
| 360 |
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| 361 |
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| 362 |
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| 363 |
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| 364 |
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| 365 |
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|
| 366 |
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| 367 |
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|
| 368 |
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| 369 |
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| 370 |
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| 371 |
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| 372 |
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| 373 |
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| 374 |
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| 375 |
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|
| 376 |
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|
| 377 |
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|
| 378 |
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|
| 379 |
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|
| 380 |
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|
| 381 |
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|
| 382 |
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|
| 383 |
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|
| 384 |
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|
| 385 |
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|
| 386 |
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|
| 387 |
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|
| 388 |
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|
| 389 |
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|
| 390 |
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|
| 391 |
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|
| 392 |
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|
| 393 |
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|
| 394 |
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|
| 395 |
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|
| 396 |
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|
| 397 |
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|
| 398 |
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|
| 399 |
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|
| 400 |
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|
| 401 |
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|
| 402 |
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|
| 403 |
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|
| 404 |
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|
| 405 |
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|
| 406 |
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|
| 407 |
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|
| 408 |
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|
| 409 |
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|
| 410 |
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|
| 411 |
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|
| 412 |
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|
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|
| 414 |
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| 415 |
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|
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|
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|
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|
| 419 |
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|
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|
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|
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|
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|
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|
| 425 |
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|
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|
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|
| 428 |
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|
| 429 |
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|
| 430 |
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|
| 431 |
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}
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-2000/model.safetensors.index.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-2000/trainer_state.json
ADDED
|
@@ -0,0 +1,1434 @@
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FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-5000/experiment_cfg/metadata.json
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FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-5000/model.safetensors.index.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-5000/trainer_state.json
ADDED
|
@@ -0,0 +1,3534 @@
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|
| 6 |
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|
| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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"dropout": 0.2,
|
| 12 |
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| 13 |
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|
| 14 |
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| 15 |
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| 16 |
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|
| 17 |
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| 18 |
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| 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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|
| 24 |
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"model_dtype": "float32",
|
| 25 |
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"noise_beta_alpha": 1.5,
|
| 26 |
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|
| 27 |
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"noise_s": 0.999,
|
| 28 |
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|
| 29 |
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"num_target_vision_tokens": 32,
|
| 30 |
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"num_timestep_buckets": 1000,
|
| 31 |
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"tune_diffusion_model": true,
|
| 32 |
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"tune_projector": true,
|
| 33 |
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"use_vlln": true,
|
| 34 |
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"vl_self_attention_cfg": {
|
| 35 |
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"attention_head_dim": 64,
|
| 36 |
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"dropout": 0.2,
|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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"architectures": [
|
| 45 |
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"GR00T_N1_5"
|
| 46 |
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],
|
| 47 |
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"attn_implementation": null,
|
| 48 |
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"backbone_cfg": {
|
| 49 |
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"eagle_path": "NVEagle/eagle_er-qwen3_1_7B-Siglip2_400M_stage1_5_128gpu_er_v7_1mlp_nops",
|
| 50 |
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"load_bf16": false,
|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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"tune_llm": false,
|
| 55 |
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|
| 56 |
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"use_flash_attention": true
|
| 57 |
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},
|
| 58 |
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"compute_dtype": "bfloat16",
|
| 59 |
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"hidden_size": 2048,
|
| 60 |
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"model_dtype": "float32",
|
| 61 |
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"model_type": "gr00t_n1_5",
|
| 62 |
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"torch_dtype": "bfloat16",
|
| 63 |
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"transformers_version": "4.51.3"
|
| 64 |
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}
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-8000/experiment_cfg/metadata.json
ADDED
|
@@ -0,0 +1,431 @@
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"embodiment_tag": "new_embodiment"
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}
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-8000/model.safetensors.index.json
ADDED
|
The diff for this file is too large to render.
See raw diff
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|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-8000/trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
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|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_no_video/checkpoint-5000/eval.log
ADDED
|
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| 1 |
+
[Thu Jul 2 10:00:57 KST 2026] START gpu=2 port=18750 ckpt=5000
|
| 2 |
+
model_path=/home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-5000
|
| 3 |
+
video_dir=/home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_no_video/checkpoint-5000
|
| 4 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 5 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 6 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 7 |
+
[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)
|
| 8 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 9 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 10 |
+
check_for_updates()
|
| 11 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 12 |
+
WARNING: mimicgen environments not imported since mimicgen is not installed!
|
| 13 |
+
Model not found or avail in the huggingface hub. Loading from local path: /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-5000
|
| 14 |
+
Loading pretrained dual brain from /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-5000
|
| 15 |
+
Tune backbone vision tower: True
|
| 16 |
+
Tune backbone LLM: False
|
| 17 |
+
Tune action head projector: True
|
| 18 |
+
Tune action head DiT: True
|
| 19 |
+
Model not found or avail in the huggingface hub. Loading from local path: /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-5000
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| 20 |
+
Available modality configs:
|
| 21 |
+
Tune backbone llm: False
|
| 22 |
+
Tune backbone visual: True
|
| 23 |
+
Total number of DiT parameters: 550386688
|
| 24 |
+
Total number of SelfAttentionTransformer parameters: 201433088
|
| 25 |
+
Tune action head projector: True
|
| 26 |
+
Tune action head diffusion model: True
|
| 27 |
+
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| 28 |
+
/home/seonho/clvla/benchmarks/robocasa_v2/Isaac-GR00T/gr00t/data/transform/state_action.py:257: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.detach().clone() or sourceTensor.detach().clone().requires_grad_(True), rather than torch.tensor(sourceTensor).
|
| 29 |
+
self.statistics[key] = torch.tensor(value)
|
| 30 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 31 |
+
Tune backbone llm: False
|
| 32 |
+
Tune backbone visual: True
|
| 33 |
+
Tune action head projector: True
|
| 34 |
+
Tune action head diffusion model: True
|
| 35 |
+
Set action denoising steps to 4
|
| 36 |
+
Server is ready and listening on tcp://0.0.0.0:18750
|
| 37 |
+
dict_keys(['video', 'state', 'action', 'language'])
|
| 38 |
+
Fewshot video recording: off
|
| 39 |
+
Running simulation for CheesyBread...
|
| 40 |
+
Running 50 episodes for robocasa/CheesyBread with 10 environments
|
| 41 |
+
Creating CheesyBread with split=pretrain
|
| 42 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 43 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 44 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 45 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 46 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 47 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 48 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 49 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 50 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 51 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 52 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 53 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 54 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 55 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 56 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 57 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 58 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 59 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 60 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 61 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 62 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 63 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 64 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 65 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 66 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 67 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 68 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 69 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 70 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 71 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 72 |
+
[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)
|
| 73 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 74 |
+
[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)
|
| 75 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 76 |
+
[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)
|
| 77 |
+
[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)
|
| 78 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 79 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 80 |
+
[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)
|
| 81 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 82 |
+
[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)
|
| 83 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 84 |
+
[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)
|
| 85 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 86 |
+
[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)
|
| 87 |
+
[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)
|
| 88 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 89 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 90 |
+
[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)
|
| 91 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 92 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 93 |
+
check_for_updates()
|
| 94 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 95 |
+
check_for_updates()
|
| 96 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 97 |
+
check_for_updates()
|
| 98 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 99 |
+
check_for_updates()
|
| 100 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 101 |
+
check_for_updates()
|
| 102 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 103 |
+
check_for_updates()
|
| 104 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 105 |
+
check_for_updates()
|
| 106 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 107 |
+
check_for_updates()
|
| 108 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 109 |
+
check_for_updates()
|
| 110 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 111 |
+
check_for_updates()
|
| 112 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 113 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 114 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 115 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 116 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 117 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 118 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 119 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 120 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 121 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 122 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 123 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 124 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 125 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 126 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 127 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 128 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 129 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 130 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 131 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 132 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 133 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 134 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 135 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 136 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 137 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 138 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 139 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 140 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 141 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 142 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 143 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 144 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 145 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 146 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 147 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 148 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 149 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 150 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 151 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 152 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 153 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 154 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 155 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 156 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 157 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 158 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 159 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 160 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 161 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 162 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 163 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 164 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 165 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 166 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 167 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 168 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 169 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 170 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 171 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 172 |
+
[Thu Jul 2 10:03:33 KST 2026] START gpu=2 port=18750 ckpt=5000
|
| 173 |
+
model_path=/home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-5000
|
| 174 |
+
video_dir=/home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_no_video/checkpoint-5000
|
| 175 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 176 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 177 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 178 |
+
[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)
|
| 179 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 180 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 181 |
+
check_for_updates()
|
| 182 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 183 |
+
WARNING: mimicgen environments not imported since mimicgen is not installed!
|
| 184 |
+
Model not found or avail in the huggingface hub. Loading from local path: /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-5000
|
| 185 |
+
Loading pretrained dual brain from /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-5000
|
| 186 |
+
Tune backbone vision tower: True
|
| 187 |
+
Tune backbone LLM: False
|
| 188 |
+
Tune action head projector: True
|
| 189 |
+
Tune action head DiT: True
|
| 190 |
+
Model not found or avail in the huggingface hub. Loading from local path: /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-5000
|
| 191 |
+
Available modality configs:
|
| 192 |
+
Tune backbone llm: False
|
| 193 |
+
Tune backbone visual: True
|
| 194 |
+
Total number of DiT parameters: 550386688
|
| 195 |
+
Total number of SelfAttentionTransformer parameters: 201433088
|
| 196 |
+
Tune action head projector: True
|
| 197 |
+
Tune action head diffusion model: True
|
| 198 |
+
|
| 199 |
+
/home/seonho/clvla/benchmarks/robocasa_v2/Isaac-GR00T/gr00t/data/transform/state_action.py:257: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.detach().clone() or sourceTensor.detach().clone().requires_grad_(True), rather than torch.tensor(sourceTensor).
|
| 200 |
+
self.statistics[key] = torch.tensor(value)
|
| 201 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 202 |
+
Tune backbone llm: False
|
| 203 |
+
Tune backbone visual: True
|
| 204 |
+
Tune action head projector: True
|
| 205 |
+
Tune action head diffusion model: True
|
| 206 |
+
Set action denoising steps to 4
|
| 207 |
+
Server is ready and listening on tcp://0.0.0.0:18750
|
| 208 |
+
dict_keys(['video', 'state', 'action', 'language'])
|
| 209 |
+
Fewshot video recording: off
|
| 210 |
+
Running simulation for CheesyBread...
|
| 211 |
+
Running 50 episodes for robocasa/CheesyBread with 10 environments
|
| 212 |
+
Creating CheesyBread with split=pretrain
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_no_video/checkpoint-5000/eval_manifest.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/eval.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/eval_manifest.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/evals/pretrain/CheesyBread/episode_results.json
ADDED
|
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| 1 |
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[
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| 2 |
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{
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 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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| 48 |
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| 49 |
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| 56 |
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| 57 |
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| 65 |
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| 66 |
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| 68 |
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| 74 |
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| 77 |
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| 80 |
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| 81 |
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| 88 |
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| 89 |
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| 91 |
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| 92 |
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| 93 |
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| 103 |
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| 104 |
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| 105 |
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| 111 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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| 117 |
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| 118 |
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| 128 |
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| 129 |
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| 136 |
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| 139 |
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| 140 |
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| 141 |
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| 142 |
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| 145 |
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| 148 |
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| 149 |
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| 151 |
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| 152 |
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| 153 |
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| 154 |
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| 156 |
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| 157 |
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| 159 |
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| 160 |
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| 161 |
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| 162 |
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| 163 |
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| 164 |
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| 165 |
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| 166 |
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| 167 |
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| 168 |
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| 169 |
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| 170 |
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{
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| 171 |
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| 172 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 180 |
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| 181 |
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| 182 |
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{
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| 183 |
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| 184 |
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| 185 |
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| 186 |
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| 187 |
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| 188 |
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| 189 |
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| 190 |
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| 191 |
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| 192 |
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| 193 |
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| 194 |
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{
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| 195 |
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| 196 |
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| 197 |
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| 198 |
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| 199 |
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| 200 |
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| 201 |
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| 202 |
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| 203 |
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| 204 |
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| 205 |
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| 206 |
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{
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| 207 |
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| 208 |
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| 209 |
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| 210 |
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| 211 |
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| 212 |
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| 213 |
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| 214 |
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| 215 |
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| 216 |
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| 217 |
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| 218 |
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{
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| 219 |
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|
| 220 |
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| 221 |
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| 222 |
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| 223 |
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| 224 |
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| 225 |
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| 226 |
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| 227 |
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| 228 |
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| 229 |
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},
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| 230 |
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{
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| 231 |
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|
| 232 |
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|
| 233 |
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| 234 |
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| 235 |
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| 236 |
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| 237 |
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| 238 |
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| 239 |
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| 240 |
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| 241 |
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},
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| 242 |
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{
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| 243 |
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|
| 244 |
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| 245 |
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| 246 |
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|
| 247 |
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| 248 |
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|
| 249 |
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|
| 250 |
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| 251 |
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| 252 |
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| 253 |
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},
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| 254 |
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{
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| 255 |
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|
| 256 |
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|
| 257 |
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| 258 |
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|
| 259 |
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| 260 |
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|
| 261 |
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| 262 |
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| 263 |
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| 264 |
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|
| 265 |
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},
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| 266 |
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{
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| 267 |
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|
| 268 |
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|
| 269 |
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|
| 270 |
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|
| 271 |
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|
| 272 |
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|
| 273 |
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|
| 274 |
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| 275 |
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| 276 |
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|
| 277 |
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},
|
| 278 |
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{
|
| 279 |
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|
| 280 |
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|
| 281 |
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|
| 282 |
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|
| 283 |
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|
| 284 |
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|
| 285 |
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|
| 286 |
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|
| 287 |
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|
| 288 |
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|
| 289 |
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},
|
| 290 |
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{
|
| 291 |
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|
| 292 |
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|
| 293 |
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|
| 294 |
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|
| 295 |
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|
| 296 |
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|
| 297 |
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|
| 298 |
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|
| 299 |
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|
| 300 |
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|
| 301 |
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},
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| 302 |
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{
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| 303 |
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|
| 304 |
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| 305 |
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|
| 306 |
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|
| 307 |
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|
| 308 |
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|
| 309 |
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|
| 310 |
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|
| 311 |
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|
| 312 |
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|
| 313 |
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},
|
| 314 |
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{
|
| 315 |
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|
| 316 |
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|
| 317 |
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|
| 318 |
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|
| 319 |
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|
| 320 |
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|
| 321 |
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|
| 322 |
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|
| 323 |
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|
| 324 |
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|
| 325 |
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},
|
| 326 |
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{
|
| 327 |
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|
| 328 |
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|
| 329 |
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|
| 330 |
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|
| 331 |
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|
| 332 |
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|
| 333 |
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|
| 334 |
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|
| 335 |
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|
| 336 |
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|
| 337 |
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},
|
| 338 |
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{
|
| 339 |
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|
| 340 |
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|
| 341 |
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|
| 342 |
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|
| 343 |
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|
| 344 |
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|
| 345 |
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|
| 346 |
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|
| 347 |
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|
| 348 |
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|
| 349 |
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},
|
| 350 |
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{
|
| 351 |
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|
| 352 |
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|
| 353 |
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|
| 354 |
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|
| 355 |
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|
| 356 |
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|
| 357 |
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|
| 358 |
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|
| 359 |
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|
| 360 |
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|
| 361 |
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},
|
| 362 |
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{
|
| 363 |
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|
| 364 |
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|
| 365 |
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|
| 366 |
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|
| 367 |
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|
| 368 |
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|
| 369 |
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|
| 370 |
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|
| 371 |
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|
| 372 |
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|
| 373 |
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},
|
| 374 |
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{
|
| 375 |
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|
| 376 |
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|
| 377 |
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|
| 378 |
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|
| 379 |
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|
| 380 |
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|
| 381 |
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|
| 382 |
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|
| 383 |
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|
| 384 |
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|
| 385 |
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},
|
| 386 |
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{
|
| 387 |
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|
| 388 |
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|
| 389 |
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|
| 390 |
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|
| 391 |
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|
| 392 |
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|
| 393 |
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|
| 394 |
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|
| 395 |
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| 396 |
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|
| 397 |
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|
| 398 |
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{
|
| 399 |
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|
| 400 |
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|
| 401 |
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|
| 402 |
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|
| 403 |
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| 404 |
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|
| 405 |
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| 406 |
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| 407 |
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| 408 |
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|
| 409 |
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| 410 |
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{
|
| 411 |
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| 412 |
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| 413 |
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| 414 |
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|
| 415 |
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| 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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| 421 |
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| 422 |
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{
|
| 423 |
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|
| 424 |
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|
| 425 |
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|
| 426 |
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|
| 427 |
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| 428 |
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| 429 |
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| 430 |
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| 431 |
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| 432 |
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| 433 |
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|
| 434 |
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|
| 435 |
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| 436 |
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| 437 |
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| 438 |
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|
| 439 |
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| 440 |
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| 441 |
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| 442 |
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| 446 |
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| 447 |
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| 449 |
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| 451 |
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| 452 |
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| 453 |
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| 454 |
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| 456 |
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| 457 |
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| 458 |
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|
| 459 |
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| 463 |
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| 464 |
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| 465 |
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| 466 |
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| 470 |
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| 473 |
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| 475 |
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| 476 |
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| 477 |
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| 482 |
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| 533 |
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| 534 |
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| 542 |
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| 543 |
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| 544 |
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| 545 |
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| 546 |
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| 547 |
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| 548 |
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| 549 |
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| 553 |
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| 554 |
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{
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| 555 |
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|
| 556 |
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| 557 |
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| 558 |
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| 559 |
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| 560 |
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| 561 |
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| 562 |
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|
| 563 |
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| 564 |
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|
| 565 |
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|
| 566 |
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{
|
| 567 |
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|
| 568 |
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|
| 569 |
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|
| 570 |
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|
| 571 |
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| 572 |
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| 573 |
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| 574 |
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|
| 575 |
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| 576 |
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|
| 577 |
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|
| 578 |
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{
|
| 579 |
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|
| 580 |
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|
| 581 |
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|
| 582 |
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|
| 583 |
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| 584 |
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|
| 585 |
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|
| 586 |
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|
| 587 |
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|
| 588 |
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|
| 589 |
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|
| 590 |
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{
|
| 591 |
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|
| 592 |
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|
| 593 |
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|
| 594 |
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|
| 595 |
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|
| 596 |
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|
| 597 |
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|
| 598 |
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|
| 599 |
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|
| 600 |
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|
| 601 |
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}
|
| 602 |
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]
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/evals/pretrain/CheesyBread/stats.json
ADDED
|
@@ -0,0 +1,606 @@
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| 1 |
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{
|
| 2 |
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"num_episodes": 50,
|
| 3 |
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|
| 4 |
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| 5 |
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{
|
| 6 |
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| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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|
| 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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|
| 24 |
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|
| 25 |
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| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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{
|
| 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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| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 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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|
| 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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|
| 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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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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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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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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{
|
| 78 |
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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 |
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|
| 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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"seed": 49,
|
| 94 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 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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"seed": 50,
|
| 106 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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},
|
| 113 |
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{
|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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"seed": 51,
|
| 118 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 119 |
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"success": true,
|
| 120 |
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"length": 47,
|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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},
|
| 125 |
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{
|
| 126 |
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"completion_order": 10,
|
| 127 |
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"task_name": "CheesyBread",
|
| 128 |
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"episode_idx": 10,
|
| 129 |
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"seed": 52,
|
| 130 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 131 |
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"success": true,
|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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},
|
| 137 |
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{
|
| 138 |
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"completion_order": 11,
|
| 139 |
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"task_name": "CheesyBread",
|
| 140 |
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"episode_idx": 11,
|
| 141 |
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"seed": 53,
|
| 142 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 143 |
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"success": true,
|
| 144 |
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"length": 48,
|
| 145 |
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"reward": 26.0,
|
| 146 |
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"env_idx": 1,
|
| 147 |
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"video_path": null
|
| 148 |
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},
|
| 149 |
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{
|
| 150 |
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"completion_order": 12,
|
| 151 |
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"task_name": "CheesyBread",
|
| 152 |
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|
| 153 |
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"seed": 54,
|
| 154 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 155 |
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"success": false,
|
| 156 |
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"length": 48,
|
| 157 |
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"reward": 0.0,
|
| 158 |
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|
| 159 |
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"video_path": null
|
| 160 |
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},
|
| 161 |
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{
|
| 162 |
+
"completion_order": 13,
|
| 163 |
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"task_name": "CheesyBread",
|
| 164 |
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|
| 165 |
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"seed": 55,
|
| 166 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 167 |
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"success": true,
|
| 168 |
+
"length": 48,
|
| 169 |
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|
| 170 |
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|
| 171 |
+
"video_path": null
|
| 172 |
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},
|
| 173 |
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{
|
| 174 |
+
"completion_order": 14,
|
| 175 |
+
"task_name": "CheesyBread",
|
| 176 |
+
"episode_idx": 14,
|
| 177 |
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"seed": 56,
|
| 178 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 179 |
+
"success": true,
|
| 180 |
+
"length": 48,
|
| 181 |
+
"reward": 29.0,
|
| 182 |
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"env_idx": 4,
|
| 183 |
+
"video_path": null
|
| 184 |
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},
|
| 185 |
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{
|
| 186 |
+
"completion_order": 15,
|
| 187 |
+
"task_name": "CheesyBread",
|
| 188 |
+
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|
| 189 |
+
"seed": 57,
|
| 190 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 191 |
+
"success": true,
|
| 192 |
+
"length": 48,
|
| 193 |
+
"reward": 29.0,
|
| 194 |
+
"env_idx": 5,
|
| 195 |
+
"video_path": null
|
| 196 |
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},
|
| 197 |
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{
|
| 198 |
+
"completion_order": 16,
|
| 199 |
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"task_name": "CheesyBread",
|
| 200 |
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"episode_idx": 16,
|
| 201 |
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"seed": 58,
|
| 202 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 203 |
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"success": false,
|
| 204 |
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"length": 48,
|
| 205 |
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"reward": 0.0,
|
| 206 |
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"env_idx": 6,
|
| 207 |
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"video_path": null
|
| 208 |
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},
|
| 209 |
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{
|
| 210 |
+
"completion_order": 17,
|
| 211 |
+
"task_name": "CheesyBread",
|
| 212 |
+
"episode_idx": 17,
|
| 213 |
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"seed": 59,
|
| 214 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 215 |
+
"success": true,
|
| 216 |
+
"length": 48,
|
| 217 |
+
"reward": 19.0,
|
| 218 |
+
"env_idx": 7,
|
| 219 |
+
"video_path": null
|
| 220 |
+
},
|
| 221 |
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{
|
| 222 |
+
"completion_order": 18,
|
| 223 |
+
"task_name": "CheesyBread",
|
| 224 |
+
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|
| 225 |
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"seed": 60,
|
| 226 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 227 |
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"success": false,
|
| 228 |
+
"length": 48,
|
| 229 |
+
"reward": 0.0,
|
| 230 |
+
"env_idx": 8,
|
| 231 |
+
"video_path": null
|
| 232 |
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},
|
| 233 |
+
{
|
| 234 |
+
"completion_order": 19,
|
| 235 |
+
"task_name": "CheesyBread",
|
| 236 |
+
"episode_idx": 19,
|
| 237 |
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"seed": 61,
|
| 238 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 239 |
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"success": false,
|
| 240 |
+
"length": 48,
|
| 241 |
+
"reward": 0.0,
|
| 242 |
+
"env_idx": 9,
|
| 243 |
+
"video_path": null
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"completion_order": 20,
|
| 247 |
+
"task_name": "CheesyBread",
|
| 248 |
+
"episode_idx": 20,
|
| 249 |
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"seed": 62,
|
| 250 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 251 |
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"success": true,
|
| 252 |
+
"length": 48,
|
| 253 |
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|
| 254 |
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|
| 255 |
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|
| 256 |
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},
|
| 257 |
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{
|
| 258 |
+
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|
| 259 |
+
"task_name": "CheesyBread",
|
| 260 |
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|
| 261 |
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"seed": 63,
|
| 262 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 263 |
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"success": false,
|
| 264 |
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"length": 48,
|
| 265 |
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|
| 266 |
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"env_idx": 1,
|
| 267 |
+
"video_path": null
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"completion_order": 22,
|
| 271 |
+
"task_name": "CheesyBread",
|
| 272 |
+
"episode_idx": 22,
|
| 273 |
+
"seed": 64,
|
| 274 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 275 |
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"success": true,
|
| 276 |
+
"length": 48,
|
| 277 |
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|
| 278 |
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|
| 279 |
+
"video_path": null
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"completion_order": 23,
|
| 283 |
+
"task_name": "CheesyBread",
|
| 284 |
+
"episode_idx": 23,
|
| 285 |
+
"seed": 65,
|
| 286 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 287 |
+
"success": true,
|
| 288 |
+
"length": 48,
|
| 289 |
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|
| 290 |
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|
| 291 |
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"video_path": null
|
| 292 |
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},
|
| 293 |
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{
|
| 294 |
+
"completion_order": 24,
|
| 295 |
+
"task_name": "CheesyBread",
|
| 296 |
+
"episode_idx": 24,
|
| 297 |
+
"seed": 66,
|
| 298 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 299 |
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"success": false,
|
| 300 |
+
"length": 48,
|
| 301 |
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"reward": 0.0,
|
| 302 |
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"env_idx": 4,
|
| 303 |
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"video_path": null
|
| 304 |
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},
|
| 305 |
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{
|
| 306 |
+
"completion_order": 25,
|
| 307 |
+
"task_name": "CheesyBread",
|
| 308 |
+
"episode_idx": 25,
|
| 309 |
+
"seed": 67,
|
| 310 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 311 |
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"success": false,
|
| 312 |
+
"length": 48,
|
| 313 |
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|
| 314 |
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"env_idx": 5,
|
| 315 |
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"video_path": null
|
| 316 |
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},
|
| 317 |
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{
|
| 318 |
+
"completion_order": 26,
|
| 319 |
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|
| 320 |
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|
| 321 |
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"seed": 68,
|
| 322 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 323 |
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"success": false,
|
| 324 |
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|
| 325 |
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|
| 326 |
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|
| 327 |
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|
| 328 |
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},
|
| 329 |
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{
|
| 330 |
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"completion_order": 27,
|
| 331 |
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|
| 332 |
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|
| 333 |
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"seed": 69,
|
| 334 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 335 |
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|
| 336 |
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|
| 337 |
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|
| 338 |
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|
| 339 |
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|
| 340 |
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},
|
| 341 |
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{
|
| 342 |
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"completion_order": 28,
|
| 343 |
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"task_name": "CheesyBread",
|
| 344 |
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|
| 345 |
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"seed": 70,
|
| 346 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 347 |
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|
| 348 |
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|
| 349 |
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"reward": 1.0,
|
| 350 |
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|
| 351 |
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|
| 352 |
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},
|
| 353 |
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{
|
| 354 |
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"completion_order": 29,
|
| 355 |
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|
| 356 |
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|
| 357 |
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"seed": 71,
|
| 358 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 359 |
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|
| 360 |
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|
| 361 |
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|
| 362 |
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|
| 363 |
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|
| 364 |
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},
|
| 365 |
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{
|
| 366 |
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"completion_order": 30,
|
| 367 |
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|
| 368 |
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|
| 369 |
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"seed": 72,
|
| 370 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 371 |
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"success": false,
|
| 372 |
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"length": 48,
|
| 373 |
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|
| 374 |
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|
| 375 |
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"video_path": null
|
| 376 |
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},
|
| 377 |
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{
|
| 378 |
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"completion_order": 31,
|
| 379 |
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|
| 380 |
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|
| 381 |
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"seed": 73,
|
| 382 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 383 |
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"success": false,
|
| 384 |
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"length": 48,
|
| 385 |
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|
| 386 |
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|
| 387 |
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|
| 388 |
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},
|
| 389 |
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{
|
| 390 |
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"completion_order": 32,
|
| 391 |
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|
| 392 |
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|
| 393 |
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"seed": 74,
|
| 394 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 395 |
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|
| 396 |
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|
| 397 |
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|
| 398 |
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"env_idx": 2,
|
| 399 |
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"video_path": null
|
| 400 |
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},
|
| 401 |
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{
|
| 402 |
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"completion_order": 33,
|
| 403 |
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"task_name": "CheesyBread",
|
| 404 |
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|
| 405 |
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"seed": 75,
|
| 406 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 407 |
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"success": false,
|
| 408 |
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"length": 48,
|
| 409 |
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|
| 410 |
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"env_idx": 3,
|
| 411 |
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"video_path": null
|
| 412 |
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},
|
| 413 |
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{
|
| 414 |
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"completion_order": 34,
|
| 415 |
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"task_name": "CheesyBread",
|
| 416 |
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"episode_idx": 34,
|
| 417 |
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"seed": 76,
|
| 418 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 419 |
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"success": false,
|
| 420 |
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"length": 48,
|
| 421 |
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"reward": 0.0,
|
| 422 |
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"env_idx": 4,
|
| 423 |
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"video_path": null
|
| 424 |
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},
|
| 425 |
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{
|
| 426 |
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"completion_order": 35,
|
| 427 |
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"task_name": "CheesyBread",
|
| 428 |
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"episode_idx": 35,
|
| 429 |
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"seed": 77,
|
| 430 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 431 |
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"success": true,
|
| 432 |
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"length": 48,
|
| 433 |
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"reward": 25.0,
|
| 434 |
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"env_idx": 5,
|
| 435 |
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"video_path": null
|
| 436 |
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},
|
| 437 |
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{
|
| 438 |
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"completion_order": 36,
|
| 439 |
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"task_name": "CheesyBread",
|
| 440 |
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"episode_idx": 36,
|
| 441 |
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"seed": 78,
|
| 442 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 443 |
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"success": false,
|
| 444 |
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"length": 48,
|
| 445 |
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"reward": 0.0,
|
| 446 |
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"env_idx": 6,
|
| 447 |
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"video_path": null
|
| 448 |
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},
|
| 449 |
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{
|
| 450 |
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"completion_order": 37,
|
| 451 |
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"task_name": "CheesyBread",
|
| 452 |
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"episode_idx": 37,
|
| 453 |
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"seed": 79,
|
| 454 |
+
"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 455 |
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"success": true,
|
| 456 |
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"length": 48,
|
| 457 |
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"reward": 25.0,
|
| 458 |
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"env_idx": 7,
|
| 459 |
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"video_path": null
|
| 460 |
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},
|
| 461 |
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{
|
| 462 |
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"completion_order": 38,
|
| 463 |
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"task_name": "CheesyBread",
|
| 464 |
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"episode_idx": 38,
|
| 465 |
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"seed": 80,
|
| 466 |
+
"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 467 |
+
"success": true,
|
| 468 |
+
"length": 48,
|
| 469 |
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"reward": 30.0,
|
| 470 |
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"env_idx": 8,
|
| 471 |
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"video_path": null
|
| 472 |
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},
|
| 473 |
+
{
|
| 474 |
+
"completion_order": 39,
|
| 475 |
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"task_name": "CheesyBread",
|
| 476 |
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"episode_idx": 39,
|
| 477 |
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"seed": 81,
|
| 478 |
+
"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 479 |
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"success": true,
|
| 480 |
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"length": 48,
|
| 481 |
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"reward": 26.0,
|
| 482 |
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"env_idx": 9,
|
| 483 |
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"video_path": null
|
| 484 |
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},
|
| 485 |
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{
|
| 486 |
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"completion_order": 40,
|
| 487 |
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"task_name": "CheesyBread",
|
| 488 |
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"episode_idx": 40,
|
| 489 |
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"seed": 82,
|
| 490 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 491 |
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"success": false,
|
| 492 |
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"length": 48,
|
| 493 |
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"reward": 0.0,
|
| 494 |
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"env_idx": 0,
|
| 495 |
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"video_path": null
|
| 496 |
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},
|
| 497 |
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{
|
| 498 |
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"completion_order": 41,
|
| 499 |
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"task_name": "CheesyBread",
|
| 500 |
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"episode_idx": 41,
|
| 501 |
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"seed": 83,
|
| 502 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 503 |
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"success": false,
|
| 504 |
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"length": 48,
|
| 505 |
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"reward": 0.0,
|
| 506 |
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"env_idx": 1,
|
| 507 |
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"video_path": null
|
| 508 |
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},
|
| 509 |
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{
|
| 510 |
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"completion_order": 42,
|
| 511 |
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"task_name": "CheesyBread",
|
| 512 |
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"episode_idx": 42,
|
| 513 |
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"seed": 84,
|
| 514 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 515 |
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"success": false,
|
| 516 |
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"length": 48,
|
| 517 |
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"reward": 0.0,
|
| 518 |
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"env_idx": 2,
|
| 519 |
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"video_path": null
|
| 520 |
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},
|
| 521 |
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{
|
| 522 |
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"completion_order": 43,
|
| 523 |
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"task_name": "CheesyBread",
|
| 524 |
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"episode_idx": 43,
|
| 525 |
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"seed": 85,
|
| 526 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 527 |
+
"success": true,
|
| 528 |
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"length": 48,
|
| 529 |
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"reward": 26.0,
|
| 530 |
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"env_idx": 3,
|
| 531 |
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"video_path": null
|
| 532 |
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},
|
| 533 |
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{
|
| 534 |
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"completion_order": 44,
|
| 535 |
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"task_name": "CheesyBread",
|
| 536 |
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"episode_idx": 44,
|
| 537 |
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"seed": 86,
|
| 538 |
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"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 539 |
+
"success": false,
|
| 540 |
+
"length": 48,
|
| 541 |
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"reward": 0.0,
|
| 542 |
+
"env_idx": 4,
|
| 543 |
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"video_path": null
|
| 544 |
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},
|
| 545 |
+
{
|
| 546 |
+
"completion_order": 45,
|
| 547 |
+
"task_name": "CheesyBread",
|
| 548 |
+
"episode_idx": 45,
|
| 549 |
+
"seed": 87,
|
| 550 |
+
"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 551 |
+
"success": false,
|
| 552 |
+
"length": 48,
|
| 553 |
+
"reward": 0.0,
|
| 554 |
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"env_idx": 5,
|
| 555 |
+
"video_path": null
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"completion_order": 46,
|
| 559 |
+
"task_name": "CheesyBread",
|
| 560 |
+
"episode_idx": 46,
|
| 561 |
+
"seed": 88,
|
| 562 |
+
"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 563 |
+
"success": true,
|
| 564 |
+
"length": 48,
|
| 565 |
+
"reward": 26.0,
|
| 566 |
+
"env_idx": 6,
|
| 567 |
+
"video_path": null
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"completion_order": 47,
|
| 571 |
+
"task_name": "CheesyBread",
|
| 572 |
+
"episode_idx": 47,
|
| 573 |
+
"seed": 89,
|
| 574 |
+
"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 575 |
+
"success": false,
|
| 576 |
+
"length": 48,
|
| 577 |
+
"reward": 0.0,
|
| 578 |
+
"env_idx": 7,
|
| 579 |
+
"video_path": null
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"completion_order": 48,
|
| 583 |
+
"task_name": "CheesyBread",
|
| 584 |
+
"episode_idx": 48,
|
| 585 |
+
"seed": 90,
|
| 586 |
+
"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 587 |
+
"success": false,
|
| 588 |
+
"length": 48,
|
| 589 |
+
"reward": 0.0,
|
| 590 |
+
"env_idx": 8,
|
| 591 |
+
"video_path": null
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"completion_order": 49,
|
| 595 |
+
"task_name": "CheesyBread",
|
| 596 |
+
"episode_idx": 49,
|
| 597 |
+
"seed": 91,
|
| 598 |
+
"description": "Pick up the wedge of cheese and place it on the slice of bread to prepare a simple cheese on bread dish.",
|
| 599 |
+
"success": false,
|
| 600 |
+
"length": 48,
|
| 601 |
+
"reward": 0.0,
|
| 602 |
+
"env_idx": 9,
|
| 603 |
+
"video_path": null
|
| 604 |
+
}
|
| 605 |
+
]
|
| 606 |
+
}
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/summary.txt
ADDED
|
@@ -0,0 +1,111 @@
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|
|
|
| 1 |
+
Eval metadata
|
| 2 |
+
- total_eval_time: 43m 16s (2596.22s)
|
| 3 |
+
- model_path: /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-5000
|
| 4 |
+
- checkpoint_name: checkpoint-5000
|
| 5 |
+
- checkpoint_parent: /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k
|
| 6 |
+
- video_dir: /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000
|
| 7 |
+
- task_set: fewshot_heldout_atomic39
|
| 8 |
+
- split: pretrain
|
| 9 |
+
- n_envs: 10
|
| 10 |
+
- n_episodes: 50
|
| 11 |
+
- save_video: True
|
| 12 |
+
- video_steps_per_render: 2
|
| 13 |
+
- seed: 42
|
| 14 |
+
- episode_seed_start: 42
|
| 15 |
+
- episode_seed_manifest: None
|
| 16 |
+
- episode_manifest_output: None
|
| 17 |
+
- command: my_scripts/Fewshot/fewshot_eval.py --model_path /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-5000 --task_set fewshot_heldout_atomic39 --split pretrain --video_dir /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000 --n_episodes 50 --n_envs 10 --seed 42 --port 18750 --save_video --stats_output /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-5000/summary.txt
|
| 18 |
+
- config_yaml_candidates: none found in /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k
|
| 19 |
+
- selected_config_yaml: none
|
| 20 |
+
|
| 21 |
+
Stats for task group: FEWSHOT_HELDOUT_ATOMIC39
|
| 22 |
+
CheesyBread: 42 | None
|
| 23 |
+
AVG: 42.0 | nan
|
| 24 |
+
|
| 25 |
+
Fewshot task success rates
|
| 26 |
+
- CheesyBread: 42.0% (21/50)
|
| 27 |
+
- CloseCabinet: missing
|
| 28 |
+
- CloseDishwasher: missing
|
| 29 |
+
- CloseDrawer: missing
|
| 30 |
+
- CloseElectricKettleLid: missing
|
| 31 |
+
- CloseFridgeDrawer: missing
|
| 32 |
+
- CloseMicrowave: missing
|
| 33 |
+
- CloseOven: missing
|
| 34 |
+
- CloseStandMixerHead: missing
|
| 35 |
+
- CoffeeServeMug: missing
|
| 36 |
+
- LowerHeat: missing
|
| 37 |
+
- MakeIcedCoffee: missing
|
| 38 |
+
- OpenBlenderLid: missing
|
| 39 |
+
- OpenDishwasher: missing
|
| 40 |
+
- OpenFridge: missing
|
| 41 |
+
- OpenFridgeDrawer: missing
|
| 42 |
+
- OpenMicrowave: missing
|
| 43 |
+
- OpenOven: missing
|
| 44 |
+
- OpenToasterOvenDoor: missing
|
| 45 |
+
- PackDessert: missing
|
| 46 |
+
- PickPlaceCounterToBlender: missing
|
| 47 |
+
- PickPlaceCounterToDrawer: missing
|
| 48 |
+
- PickPlaceCounterToMicrowave: missing
|
| 49 |
+
- PickPlaceCounterToOven: missing
|
| 50 |
+
- PickPlaceCounterToSink: missing
|
| 51 |
+
- PickPlaceCounterToStandMixer: missing
|
| 52 |
+
- PickPlaceCounterToToasterOven: missing
|
| 53 |
+
- PickPlaceFridgeDrawerToShelf: missing
|
| 54 |
+
- PickPlaceFridgeShelfToDrawer: missing
|
| 55 |
+
- PickPlaceMicrowaveToCounter: missing
|
| 56 |
+
- PickPlaceStoveToCounter: missing
|
| 57 |
+
- PickPlaceToasterOvenToCounter: missing
|
| 58 |
+
- PreheatOven: missing
|
| 59 |
+
- SlideOvenRack: missing
|
| 60 |
+
- SlideToasterOvenRack: missing
|
| 61 |
+
- StartCoffeeMachine: missing
|
| 62 |
+
- TurnOnBlender: missing
|
| 63 |
+
- TurnOnToaster: missing
|
| 64 |
+
- TurnOnToasterOven: missing
|
| 65 |
+
- AVG: 42.0%
|
| 66 |
+
|
| 67 |
+
Eval completeness check
|
| 68 |
+
- split: pretrain
|
| 69 |
+
- expected tasks: 39
|
| 70 |
+
- completed tasks: 1/39
|
| 71 |
+
- expected episodes per task: 50
|
| 72 |
+
- missing tasks:
|
| 73 |
+
- CloseCabinet
|
| 74 |
+
- CloseDishwasher
|
| 75 |
+
- CloseDrawer
|
| 76 |
+
- CloseElectricKettleLid
|
| 77 |
+
- CloseFridgeDrawer
|
| 78 |
+
- CloseMicrowave
|
| 79 |
+
- CloseOven
|
| 80 |
+
- CloseStandMixerHead
|
| 81 |
+
- CoffeeServeMug
|
| 82 |
+
- LowerHeat
|
| 83 |
+
- MakeIcedCoffee
|
| 84 |
+
- OpenBlenderLid
|
| 85 |
+
- OpenDishwasher
|
| 86 |
+
- OpenFridge
|
| 87 |
+
- OpenFridgeDrawer
|
| 88 |
+
- OpenMicrowave
|
| 89 |
+
- OpenOven
|
| 90 |
+
- OpenToasterOvenDoor
|
| 91 |
+
- PackDessert
|
| 92 |
+
- PickPlaceCounterToBlender
|
| 93 |
+
- PickPlaceCounterToDrawer
|
| 94 |
+
- PickPlaceCounterToMicrowave
|
| 95 |
+
- PickPlaceCounterToOven
|
| 96 |
+
- PickPlaceCounterToSink
|
| 97 |
+
- PickPlaceCounterToStandMixer
|
| 98 |
+
- PickPlaceCounterToToasterOven
|
| 99 |
+
- PickPlaceFridgeDrawerToShelf
|
| 100 |
+
- PickPlaceFridgeShelfToDrawer
|
| 101 |
+
- PickPlaceMicrowaveToCounter
|
| 102 |
+
- PickPlaceStoveToCounter
|
| 103 |
+
- PickPlaceToasterOvenToCounter
|
| 104 |
+
- PreheatOven
|
| 105 |
+
- SlideOvenRack
|
| 106 |
+
- SlideToasterOvenRack
|
| 107 |
+
- StartCoffeeMachine
|
| 108 |
+
- TurnOnBlender
|
| 109 |
+
- TurnOnToaster
|
| 110 |
+
- TurnOnToasterOven
|
| 111 |
+
CHECK FAILED
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-8000/eval.log
ADDED
|
@@ -0,0 +1,171 @@
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|
|
|
| 1 |
+
[Thu Jul 2 10:47:44 KST 2026] START gpu=2 port=18750 ckpt=8000
|
| 2 |
+
model_path=/home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-8000
|
| 3 |
+
video_dir=/home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-8000
|
| 4 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 5 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 6 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 7 |
+
[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)
|
| 8 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 9 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 10 |
+
check_for_updates()
|
| 11 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 12 |
+
WARNING: mimicgen environments not imported since mimicgen is not installed!
|
| 13 |
+
Model not found or avail in the huggingface hub. Loading from local path: /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-8000
|
| 14 |
+
Loading pretrained dual brain from /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-8000
|
| 15 |
+
Tune backbone vision tower: True
|
| 16 |
+
Tune backbone LLM: False
|
| 17 |
+
Tune action head projector: True
|
| 18 |
+
Tune action head DiT: True
|
| 19 |
+
Model not found or avail in the huggingface hub. Loading from local path: /home/seonho/groot_robocasa/robocasa_v2/FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/checkpoint-8000
|
| 20 |
+
Available modality configs:
|
| 21 |
+
Tune backbone llm: False
|
| 22 |
+
Tune backbone visual: True
|
| 23 |
+
Total number of DiT parameters: 550386688
|
| 24 |
+
Total number of SelfAttentionTransformer parameters: 201433088
|
| 25 |
+
Tune action head projector: True
|
| 26 |
+
Tune action head diffusion model: True
|
| 27 |
+
|
| 28 |
+
/home/seonho/clvla/benchmarks/robocasa_v2/Isaac-GR00T/gr00t/data/transform/state_action.py:257: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.detach().clone() or sourceTensor.detach().clone().requires_grad_(True), rather than torch.tensor(sourceTensor).
|
| 29 |
+
self.statistics[key] = torch.tensor(value)
|
| 30 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 31 |
+
Tune backbone llm: False
|
| 32 |
+
Tune backbone visual: True
|
| 33 |
+
Tune action head projector: True
|
| 34 |
+
Tune action head diffusion model: True
|
| 35 |
+
Set action denoising steps to 4
|
| 36 |
+
Server is ready and listening on tcp://0.0.0.0:18750
|
| 37 |
+
dict_keys(['video', 'state', 'action', 'language'])
|
| 38 |
+
Fewshot video recording: on
|
| 39 |
+
Running simulation for CheesyBread...
|
| 40 |
+
Running 50 episodes for robocasa/CheesyBread with 10 environments
|
| 41 |
+
Creating CheesyBread with split=pretrain
|
| 42 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 43 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 44 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 45 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 46 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 47 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 48 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 49 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 50 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 51 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 52 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 53 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 54 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 55 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 56 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 57 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 58 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 59 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 60 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 61 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 62 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 63 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 64 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 65 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 66 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 67 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 68 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 69 |
+
[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)
|
| 70 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 71 |
+
[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)
|
| 72 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 73 |
+
[robosuite WARNING] No private macro file found! (macros.py:57)
|
| 74 |
+
[robosuite WARNING] It is recommended to use a private macro file (macros.py:58)
|
| 75 |
+
[robosuite WARNING] To setup, run: python /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)
|
| 76 |
+
[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)
|
| 77 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 78 |
+
[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)
|
| 79 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 80 |
+
[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)
|
| 81 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 82 |
+
[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)
|
| 83 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 84 |
+
[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)
|
| 85 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 86 |
+
[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)
|
| 87 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 88 |
+
[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)
|
| 89 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 90 |
+
[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)
|
| 91 |
+
[robosuite WARNING] Could not load the mink-based whole-body IK. Make sure you install related import properly (e.g. pip install mink==0.0.5), otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:40)
|
| 92 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 93 |
+
check_for_updates()
|
| 94 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 95 |
+
check_for_updates()
|
| 96 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 97 |
+
check_for_updates()
|
| 98 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 99 |
+
check_for_updates()
|
| 100 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 101 |
+
check_for_updates()
|
| 102 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 103 |
+
check_for_updates()
|
| 104 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 105 |
+
check_for_updates()
|
| 106 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 107 |
+
check_for_updates()
|
| 108 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 109 |
+
check_for_updates()
|
| 110 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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.
|
| 111 |
+
check_for_updates()
|
| 112 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 113 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 114 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 115 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 116 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 117 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 118 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 119 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 120 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 121 |
+
`use_fast` is set to `True` but the image processor class does not have a fast version. Falling back to the slow version.
|
| 122 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 123 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 124 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 125 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 126 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 127 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 128 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 129 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 130 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 131 |
+
[robosuite INFO] Loading controller configuration from: /home/seonho/clvla/benchmarks/robocasa_v2/robosuite/robosuite/controllers/config/robots/default_pandaomron.json (composite_controller_factory.py:121)
|
| 132 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 133 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 134 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 135 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 136 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 137 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 138 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 139 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 140 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 141 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 142 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 143 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 144 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 145 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 146 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 147 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 148 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 149 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 150 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 151 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 152 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 153 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 154 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 155 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 156 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 157 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 158 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 159 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 160 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 161 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 162 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 163 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 164 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 165 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 166 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 167 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 168 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 169 |
+
logger.warn(f"{pre} is not within the observation space.")
|
| 170 |
+
/home/seonho/miniconda3/envs/robocasa/lib/python3.11/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
|
| 171 |
+
logger.warn(f"{pre} is not within the observation space.")
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/eval_seed42_atomic39_nenv10_ep50_video/checkpoint-8000/eval_manifest.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/experiment_cfg/metadata.json
ADDED
|
@@ -0,0 +1,431 @@
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| 399 |
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| 409 |
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|
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|
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|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/model.safetensors.index.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed0/default/train_5shot_seed0_processingline_12k/trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed1/default/train_5shot_seed1_processingline_12k/checkpoint-5000/experiment_cfg/metadata.json
ADDED
|
@@ -0,0 +1,431 @@
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|
FewShot/39tasks/5shot/FromBaseline26_Processingline/seed1/default/train_5shot_seed1_processingline_12k/checkpoint-8000/experiment_cfg/metadata.json
ADDED
|
@@ -0,0 +1,431 @@
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