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"source_run_id": "20260928T224938800288Z", "start_wall_time": null, "workload_id": "ant"} diff --git a/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/observation_attempts.jsonl b/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/observation_attempts.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/queue_eval_latency_profile_sample.json b/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/queue_eval_latency_profile_sample.json new file mode 100644 index 0000000000000000000000000000000000000000..6953f5ba928275f8256af0fd0d43f9fd346ac51e --- /dev/null +++ b/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/queue_eval_latency_profile_sample.json @@ -0,0 +1,22 @@ +{ + "checkpoint_kind": "best", + "checkpoint_path": "/workspace/.hf_home/hub/models--latency-sensitive-bench--benchmark-models/snapshots/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/ant/vla/starvla-qwenpi_v3-h1/ant_pi05_profile_h1_5fps_g128_20260920/checkpoints/model.pt", + "experiment_name": "pi05_ant_measured", + "latency": "profile_sample", + "latency_type": "profile_sample", + "lengths": [ + 376, + 1000 + ], + "mean_length": 688.0, + "mean_return": 1570.9053993594869, + "returns": [ + 839.2006235108203, + 2302.6101752081536 + ], + "seed": 2000180, + "source_profile_path": "/workspace/latency-sensitive-bench/results/sim2real/replays/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/93577f1d0e9f3d6dac1c9d5875530671e7a768a7/profile/profile.json", + "std_return": 731.7047758486667, + "suite_name": "profile_sample", + "timestamp_utc": "2026-09-29T03:46:25.324194+00:00" +} diff --git a/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/queue_eval_results.jsonl b/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/queue_eval_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..533483c43026dca186022ca78bae57fbed358745 --- /dev/null +++ b/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/queue_eval_results.jsonl @@ -0,0 +1 @@ +{"checkpoint_kind": "best", "checkpoint_path": "/workspace/.hf_home/hub/models--latency-sensitive-bench--benchmark-models/snapshots/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/ant/vla/starvla-qwenpi_v3-h1/ant_pi05_profile_h1_5fps_g128_20260920/checkpoints/model.pt", "experiment_name": "pi05_ant_measured", "latency": "profile_sample", "latency_type": "profile_sample", "lengths": [376, 1000], "mean_length": 688.0, "mean_return": 1570.9053993594869, "returns": [839.2006235108203, 2302.6101752081536], "seed": 2000180, "source_profile_path": "/workspace/latency-sensitive-bench/results/sim2real/replays/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/93577f1d0e9f3d6dac1c9d5875530671e7a768a7/profile/profile.json", "std_return": 731.7047758486667, "suite_name": "profile_sample", "timestamp_utc": "2026-09-29T03:46:25.324194+00:00"} diff --git a/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/stdout.log b/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..a067eff3417033ca42aa96ad8498ad5a07f9dc5e --- /dev/null +++ b/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/stdout.log @@ -0,0 +1,250 @@ +[bench] run=pi05_ant_measured sweeps=1 episodes_per_sweep=2 total_episode_runs=2 +[bench] sweep 1/1: eval_latency=profile_sample +09/29 [03:41:39] INFO | >> Failed to load library ( ctypesloader.py:70 + 'libOpenGL.so.0' ): libOpenGL.so.0: + cannot open shared object file: No + such file or directory + INFO | >> No OpenGL_accelerate acceleratesupport.py:24 + module loaded: No module named + 'OpenGL_accelerate' + INFO | >> Failed to load library ( ctypesloader.py:70 + 'libOpenGL.so.0' ): libOpenGL.so.0: + cannot open shared object file: No + such file or directory +/venv/sim2real/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.8 (you have 1.4.18). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1. + check_for_updates() +09/29 [03:41:45] INFO | >> Loaded mixtures from Behavior registry.py:113 + (data_config): ['BEHAVIOR_challenge'] + INFO | >> Loaded data_config from DOMINO: registry.py:107 + ['robotwin'] + INFO | >> Loaded embodiment_tags from registry.py:110 + DOMINO (data_config): [] + INFO | >> Loaded mixtures from DOMINO registry.py:113 + (data_config): ['domino', + 'domino_clean', 'domino_random', + 'domino_cotrain'] + INFO | >> Loaded data_config from Franka: registry.py:107 + ['custom_robot_config', + 'demo_sim_franka_delta_joints', + 'SO101'] + INFO | >> Loaded embodiment_tags from registry.py:110 + Franka (data_config): [] + INFO | >> Loaded mixtures from Franka registry.py:113 + (data_config): ['custom_dataset', + 'custom_dataset_2', + 'demo_sim_pick_place', 'SO101_pick'] + INFO | >> Loaded data_config from LIBERO: registry.py:107 + ['libero_franka'] + INFO | >> Loaded embodiment_tags from registry.py:110 + LIBERO (data_config): [] + INFO | >> Loaded mixtures from LIBERO registry.py:113 + (data_config): ['libero_all', + 'libero_goal', 'multi_robot'] + INFO | >> Loaded data_config from MIKASA: registry.py:107 + ['mikasa_franka_h1'] + INFO | >> Loaded embodiment_tags from registry.py:110 + MIKASA (data_config): + ['mikasa_franka_h1'] + INFO | >> Loaded mixtures from MIKASA registry.py:113 + (data_config): + ['local/intercept_grab_fast_vla_v0_h1_ + train'] + INFO | >> Loaded data_config from registry.py:107 + RoboChallenge_table30v2: + ['ur5_robochallenge', + 'arx5_robochallenge', + 'dosw1_robochallenge'] + INFO | >> Loaded embodiment_tags from registry.py:110 + RoboChallenge_table30v2 (data_config): + ['ur5_robochallenge', + 'arx5_robochallenge', + 'dosw1_robochallenge'] + INFO | >> Loaded mixtures from registry.py:113 + RoboChallenge_table30v2 (data_config): + ['robochallenge_table30v2_shred_paper' + , 'robochallenge_table30v2_ur5_all', + 'robochallenge_table30v2_arx5_all', + 'robochallenge_table30v2_dosw1_all'] + INFO | >> Loaded data_config from registry.py:107 + Robocasa_365: + ['panda_omron_robocasa365'] + INFO | >> Loaded embodiment_tags from registry.py:110 + Robocasa_365 (data_config): [] + INFO | >> Loaded mixtures from registry.py:113 + Robocasa_365 (data_config): + ['robocasa365_open_drawer_target_human + ', + 'robocasa365_atomic_target_human_all', + 'robocasa365_composite_target_human_al + l', 'robocasa365_target_human_all'] + INFO | >> Loaded data_config from registry.py:107 + Robocasa_tabletop: + ['fourier_gr1_arms_waist'] + INFO | >> Loaded embodiment_tags from registry.py:110 + Robocasa_tabletop (data_config): [] + INFO | >> Loaded mixtures from registry.py:113 + Robocasa_tabletop (data_config): + ['fourier_gr1_unified_1000'] + INFO | >> Loaded data_config from registry.py:107 + Robotwin: ['robotwin', 'robotwin50', + 'arx_x5'] + INFO | >> Loaded embodiment_tags from registry.py:110 + Robotwin (data_config): [] + INFO | >> Loaded mixtures from Robotwin registry.py:113 + (data_config): ['robotwin_all', + 'robotwin_all_50', 'robotwin', + 'robotwin_task1', 'robotwin_task2', + 'arx_x5'] + INFO | >> Loaded data_config from registry.py:107 + SimplerEnv: ['oxe_droid', + 'oxe_bridge', 'oxe_rt1'] + INFO | >> Loaded embodiment_tags from registry.py:110 + SimplerEnv (data_config): [] + INFO | >> Loaded mixtures from SimplerEnv registry.py:113 + (data_config): ['bridge', + 'bridge_rt_1'] + INFO | >> Loaded data_config from registry.py:107 + VLA-Arena: ['vla_arena_franka'] + INFO | >> Loaded embodiment_tags from registry.py:110 + VLA-Arena (data_config): [] + INFO | >> Loaded mixtures from VLA-Arena registry.py:113 + (data_config): ['vla_arena_L0_S', + 'vla_arena_L0_M', 'vla_arena_L0_L'] + INFO | >> Loaded data_config from registry.py:107 + rl_games: ['rl_games_flappy', + 'rl_games_demon_attack', + 'rl_games_defend_the_line', + 'rl_games_deadly_corridor', + 'rl_games_asterix', + 'rl_games_atlantis', + 'rl_games_gymnasium', + 'rl_games_gymnasium_discrete', + 'rl_games_gymnasium_native'] + INFO | >> Loaded embodiment_tags from registry.py:110 + rl_games (data_config): + ['rl_games_flappy', + 'rl_games_demon_attack', + 'rl_games_defend_the_line', + 'rl_games_deadly_corridor', + 'rl_games_asterix', + 'rl_games_atlantis', + 'rl_games_gymnasium', + 'rl_games_gymnasium_discrete', + 'rl_games_gymnasium_native'] + INFO | >> Loaded mixtures from rl_games registry.py:113 + (data_config): ['flappy_train', + 'flappy_train__bridge', + 'flappy_mixed_latency_train', + 'flappy_mixed_latency_train__bridge', + 'demon_attack_train', + 'demon_attack_train__bridge', + 'demon_attack_mixed_latency_train', + 'demon_attack_mixed_latency_train__bri + dge', 'defend_the_line_train', + 'defend_the_line_train__bridge', + 'defend_the_line_mixed_latency_train', + 'defend_the_line_mixed_latency_train__ + bridge', 'deadly_corridor_train', + 'deadly_corridor_train__bridge', + 'deadly_corridor_mixed_latency_train', + 'deadly_corridor_mixed_latency_train__ + bridge', 'asterix_train', + 'asterix_train__bridge', + 'asterix_mixed_latency_train', + 'asterix_mixed_latency_train__bridge', + 'atlantis_train', + 'atlantis_train__bridge', + 'atlantis_mixed_latency_train', + 'atlantis_mixed_latency_train__bridge' + , 'h1hand_balance_hard'] + INFO | >> PolicyServerWrapper: loading policy_wrapper.py:73 + framework from + /workspace/.hf_home/hub/models--l + atency-sensitive-bench--benchmark + -models/snapshots/180da0effdaaaea + cef218cf5fbaa4db41af67495/latency + -aware/ant/vla/starvla-qwenpi_v3- + h1/ant_pi05_profile_h1_5fps_g128_ + 20260920/checkpoints/model.pt + INFO | >> [*] Loading from local share_tools.py:418 + checkpoint path + `/workspace/.hf_home/hub/models--la + tency-sensitive-bench--benchmark-mo + dels/snapshots/180da0effdaaaeacef21 + 8cf5fbaa4db41af67495/latency-aware/ + ant/vla/starvla-qwenpi_v3-h1/ant_pi + 05_profile_h1_5fps_g128_20260920/ch + eckpoints/model.pt` +[QWen3] loading /workspace/.hf_home/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17 with gradient_checkpointing=False + Loading checkpoint shards: 0%| | 0/2 [00:00> [*] Loading from local share_tools.py:418 + checkpoint path + `/workspace/.hf_home/hub/models--la + tency-sensitive-bench--benchmark-mo + dels/snapshots/180da0effdaaaeacef21 + 8cf5fbaa4db41af67495/latency-aware/ + ant/vla/starvla-qwenpi_v3-h1/ant_pi + 05_profile_h1_5fps_g128_20260920/ch + eckpoints/model.pt` + INFO | >> [*] Loading from local share_tools.py:418 + checkpoint path + `/workspace/.hf_home/hub/models--la + tency-sensitive-bench--benchmark-mo + dels/snapshots/180da0effdaaaeacef21 + 8cf5fbaa4db41af67495/latency-aware/ + ant/vla/starvla-qwenpi_v3-h1/ant_pi + 05_profile_h1_5fps_g128_20260920/ch + eckpoints/model.pt` + INFO | >> [*] Loading from local share_tools.py:418 + checkpoint path + `/workspace/.hf_home/hub/models--la + tency-sensitive-bench--benchmark-mo + dels/snapshots/180da0effdaaaeacef21 + 8cf5fbaa4db41af67495/latency-aware/ + ant/vla/starvla-qwenpi_v3-h1/ant_pi + 05_profile_h1_5fps_g128_20260920/ch + eckpoints/model.pt` + INFO | >> PolicyNormProcessor policy_norm_processor.py:333 + ready: + robot_type=rl_games_gymna + sium, + unnorm_key=new_embodiment + , + action_keys=['action.butt + on'] (dims=[8]), + state_keys=['state.game_s + tate'] + INFO | >> PolicyServerWrapper ready: policy_wrapper.py:126 + action_chunk_size=1, + default_unnorm_key=new_embodimen + t, + available_unnorm_keys=['new_embo + diment'], + action_keys=['action.button'], + state_keys=['state.game_state'] + INFO | >> [*] Loading from local share_tools.py:418 + checkpoint path + `/workspace/.hf_home/hub/models--la + tency-sensitive-bench--benchmark-mo + dels/snapshots/180da0effdaaaeacef21 + 8cf5fbaa4db41af67495/latency-aware/ + ant/vla/starvla-qwenpi_v3-h1/ant_pi + 05_profile_h1_5fps_g128_20260920/ch + eckpoints/model.pt` + INFO | >> PolicyNormProcessor policy_norm_processor.py:333 + ready: + robot_type=rl_games_gymna + sium, + unnorm_key=new_embodiment + , + action_keys=['action.butt + on'] (dims=[8]), + state_keys=['state.game_s + tate'] +[bench] sweep 1/1 episode 1/2 done +[bench] sweep 1/1 episode 2/2 done +[bench] sweep 1/1 complete elapsed=287.6s +episode=0 return=839.201 steps=376 mean_latency_ms=188.43668733551692 +episode=1 return=2302.610 steps=1000 mean_latency_ms=189.1439576319839 +summary latency=profile_sample episodes=2 mean_return=1570.905 std_return=731.705 mean_length=688.0 diff --git a/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/steps.jsonl b/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/steps.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9c748a7c79a95acf87a372570842fda6c000361c --- /dev/null +++ b/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/steps.jsonl @@ -0,0 +1,1376 @@ +{"active_action": {"is_noop": true, "is_oneshot": false, "name": "[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "value": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}, "done": false, "env_step": 0, "episode_id": 0, "info": {"active_action_id": null, "active_action_obs_env_step": null, "applied_action": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "applied_action_name": "[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "distance_from_origin": 0.05843043232242802, "env_step": 1, "forward_reward": -0.13917013849189272, "frame_time_ms": 255.672207764667, "idle_worker_count": 0, "in_flight_count": 1, "latency_type": "profile_sample", "observation_dropped": false, "observation_submitted": true, "reward_ctrl": -0.0, "reward_forward": -0.13917013849189272, "reward_survive": 1.0, "scheduled_time_ms": 0.0, "sim_time_ms": 255.672207764667, "x_position": -0.012662252124635797, 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