sim2real sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z: sim/temporal/4
Browse files- sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/published/sim/temporal/4.json +1 -0
- sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/DONE +0 -0
- sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/actions.jsonl +0 -0
- sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/e2e_latencies.jsonl +0 -0
- sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/episode_metrics.jsonl +2 -0
- sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/infer_latencies.jsonl +0 -0
- sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/latencies.jsonl +0 -0
- sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/observation_attempts.jsonl +0 -0
- sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/queue_eval_latency_profile_sample.json +22 -0
- sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/queue_eval_results.jsonl +1 -0
- sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/stdout.log +250 -0
- sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/steps.jsonl +0 -0
sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/published/sim/temporal/4.json
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{"stage": "sim/temporal/4", "files": ["sim/temporal/4/DONE", "sim/temporal/4/actions.jsonl", "sim/temporal/4/e2e_latencies.jsonl", "sim/temporal/4/episode_metrics.jsonl", "sim/temporal/4/infer_latencies.jsonl", "sim/temporal/4/latencies.jsonl", "sim/temporal/4/observation_attempts.jsonl", "sim/temporal/4/queue_eval_latency_profile_sample.json", "sim/temporal/4/queue_eval_results.jsonl", "sim/temporal/4/stdout.log", "sim/temporal/4/steps.jsonl"]}
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sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/DONE
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sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/actions.jsonl
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sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/e2e_latencies.jsonl
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sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/episode_metrics.jsonl
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{"episode_id": 0, "episode_return": 839.2006235108203, "episode_return_env": 839.2006235108203, "game_score": null, "mean_latency_ms": 188.43668733551692, "metadata": {"action_prefix": {"mode": "none"}, "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", "config_name": "pi05_ant_measured", "dropped_observation_count": 0, "env_fps": 3.911258125171149, "env_id": "LatencyBench/AntContinuous-v0", "episode_seed": 2000180, "frame_ms": 255.672207764667, "gpu_class": "1x-rtx3090", "idle_worker_count": 0, "in_flight_count": 1, "inference_worker_count": 1, "instance_id": "instance_33621945a15d3b38", "latency_type": "profile_sample", "mode": "simulated", "model_id": "qwenpi_v3", "obs_fps": 3.911258125171149, "output_dir": "/workspace/latency-sensitive-bench/results/sim2real/replays/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/93577f1d0e9f3d6dac1c9d5875530671e7a768a7/sim/temporal/4", "policy_id": "starvla", "profile_ref": null, "run_name": "pi05_ant_measured", "sim_inference_pool_workers": 1, "simulated_worker_capacity": 1, "source_profile_path": "/workspace/latency-sensitive-bench/results/sim2real/replays/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/93577f1d0e9f3d6dac1c9d5875530671e7a768a7/profile/profile.json", "source_run_id": "20260928T224938800288Z", "submitted_observation_frames": 376, "workload_id": "ant"}, "num_actions": 376, "num_dropped_actions": 0, "num_invalid_actions": 0, "p90_latency_ms": 198.2414978405933, "p99_latency_ms": 215.84050712151972, "return_raw": null, "survival_steps": 376}
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{"episode_id": 1, "episode_return": 2302.6101752081536, "episode_return_env": 2302.6101752081536, "game_score": null, "mean_latency_ms": 189.1439576319839, "metadata": {"action_prefix": {"mode": "none"}, "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", "config_name": "pi05_ant_measured", "dropped_observation_count": 5, "env_fps": 3.911258125171149, "env_id": "LatencyBench/AntContinuous-v0", "episode_seed": 2000181, "frame_ms": 255.672207764667, "gpu_class": "1x-rtx3090", "idle_worker_count": 0, "in_flight_count": 1, "inference_worker_count": 1, "instance_id": "instance_33621945a15d3b38", "latency_type": "profile_sample", "mode": "simulated", "model_id": "qwenpi_v3", "obs_fps": 3.911258125171149, "output_dir": "/workspace/latency-sensitive-bench/results/sim2real/replays/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/93577f1d0e9f3d6dac1c9d5875530671e7a768a7/sim/temporal/4", "policy_id": "starvla", "profile_ref": null, "run_name": "pi05_ant_measured", "sim_inference_pool_workers": 1, "simulated_worker_capacity": 1, "source_profile_path": "/workspace/latency-sensitive-bench/results/sim2real/replays/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/93577f1d0e9f3d6dac1c9d5875530671e7a768a7/profile/profile.json", "source_run_id": "20260928T224938800288Z", "submitted_observation_frames": 995, "workload_id": "ant"}, "num_actions": 995, "num_dropped_actions": 0, "num_invalid_actions": 0, "p90_latency_ms": 198.81871028915538, "p99_latency_ms": 229.79060155064798, "return_raw": null, "survival_steps": 1000}
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sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/infer_latencies.jsonl
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sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/latencies.jsonl
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sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/observation_attempts.jsonl
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sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/queue_eval_latency_profile_sample.json
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{
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"checkpoint_kind": "best",
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"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",
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"experiment_name": "pi05_ant_measured",
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"latency": "profile_sample",
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"latency_type": "profile_sample",
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"lengths": [
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376,
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1000
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],
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"mean_length": 688.0,
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"mean_return": 1570.9053993594869,
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"returns": [
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839.2006235108203,
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2302.6101752081536
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],
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"seed": 2000180,
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"source_profile_path": "/workspace/latency-sensitive-bench/results/sim2real/replays/sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/93577f1d0e9f3d6dac1c9d5875530671e7a768a7/profile/profile.json",
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"std_return": 731.7047758486667,
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"suite_name": "profile_sample",
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"timestamp_utc": "2026-09-29T03:46:25.324194+00:00"
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}
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sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/queue_eval_results.jsonl
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{"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"}
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sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/stdout.log
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| 1 |
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[bench] run=pi05_ant_measured sweeps=1 episodes_per_sweep=2 total_episode_runs=2
|
| 2 |
+
[bench] sweep 1/1: eval_latency=profile_sample
|
| 3 |
+
09/29 [03:41:39] INFO | >> Failed to load library ( ctypesloader.py:70
|
| 4 |
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'libOpenGL.so.0' ): libOpenGL.so.0:
|
| 5 |
+
cannot open shared object file: No
|
| 6 |
+
such file or directory
|
| 7 |
+
INFO | >> No OpenGL_accelerate acceleratesupport.py:24
|
| 8 |
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module loaded: No module named
|
| 9 |
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'OpenGL_accelerate'
|
| 10 |
+
INFO | >> Failed to load library ( ctypesloader.py:70
|
| 11 |
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'libOpenGL.so.0' ): libOpenGL.so.0:
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| 12 |
+
cannot open shared object file: No
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| 13 |
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such file or directory
|
| 14 |
+
/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.
|
| 15 |
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check_for_updates()
|
| 16 |
+
09/29 [03:41:45] INFO | >> Loaded mixtures from Behavior registry.py:113
|
| 17 |
+
(data_config): ['BEHAVIOR_challenge']
|
| 18 |
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INFO | >> Loaded data_config from DOMINO: registry.py:107
|
| 19 |
+
['robotwin']
|
| 20 |
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INFO | >> Loaded embodiment_tags from registry.py:110
|
| 21 |
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DOMINO (data_config): []
|
| 22 |
+
INFO | >> Loaded mixtures from DOMINO registry.py:113
|
| 23 |
+
(data_config): ['domino',
|
| 24 |
+
'domino_clean', 'domino_random',
|
| 25 |
+
'domino_cotrain']
|
| 26 |
+
INFO | >> Loaded data_config from Franka: registry.py:107
|
| 27 |
+
['custom_robot_config',
|
| 28 |
+
'demo_sim_franka_delta_joints',
|
| 29 |
+
'SO101']
|
| 30 |
+
INFO | >> Loaded embodiment_tags from registry.py:110
|
| 31 |
+
Franka (data_config): []
|
| 32 |
+
INFO | >> Loaded mixtures from Franka registry.py:113
|
| 33 |
+
(data_config): ['custom_dataset',
|
| 34 |
+
'custom_dataset_2',
|
| 35 |
+
'demo_sim_pick_place', 'SO101_pick']
|
| 36 |
+
INFO | >> Loaded data_config from LIBERO: registry.py:107
|
| 37 |
+
['libero_franka']
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| 38 |
+
INFO | >> Loaded embodiment_tags from registry.py:110
|
| 39 |
+
LIBERO (data_config): []
|
| 40 |
+
INFO | >> Loaded mixtures from LIBERO registry.py:113
|
| 41 |
+
(data_config): ['libero_all',
|
| 42 |
+
'libero_goal', 'multi_robot']
|
| 43 |
+
INFO | >> Loaded data_config from MIKASA: registry.py:107
|
| 44 |
+
['mikasa_franka_h1']
|
| 45 |
+
INFO | >> Loaded embodiment_tags from registry.py:110
|
| 46 |
+
MIKASA (data_config):
|
| 47 |
+
['mikasa_franka_h1']
|
| 48 |
+
INFO | >> Loaded mixtures from MIKASA registry.py:113
|
| 49 |
+
(data_config):
|
| 50 |
+
['local/intercept_grab_fast_vla_v0_h1_
|
| 51 |
+
train']
|
| 52 |
+
INFO | >> Loaded data_config from registry.py:107
|
| 53 |
+
RoboChallenge_table30v2:
|
| 54 |
+
['ur5_robochallenge',
|
| 55 |
+
'arx5_robochallenge',
|
| 56 |
+
'dosw1_robochallenge']
|
| 57 |
+
INFO | >> Loaded embodiment_tags from registry.py:110
|
| 58 |
+
RoboChallenge_table30v2 (data_config):
|
| 59 |
+
['ur5_robochallenge',
|
| 60 |
+
'arx5_robochallenge',
|
| 61 |
+
'dosw1_robochallenge']
|
| 62 |
+
INFO | >> Loaded mixtures from registry.py:113
|
| 63 |
+
RoboChallenge_table30v2 (data_config):
|
| 64 |
+
['robochallenge_table30v2_shred_paper'
|
| 65 |
+
, 'robochallenge_table30v2_ur5_all',
|
| 66 |
+
'robochallenge_table30v2_arx5_all',
|
| 67 |
+
'robochallenge_table30v2_dosw1_all']
|
| 68 |
+
INFO | >> Loaded data_config from registry.py:107
|
| 69 |
+
Robocasa_365:
|
| 70 |
+
['panda_omron_robocasa365']
|
| 71 |
+
INFO | >> Loaded embodiment_tags from registry.py:110
|
| 72 |
+
Robocasa_365 (data_config): []
|
| 73 |
+
INFO | >> Loaded mixtures from registry.py:113
|
| 74 |
+
Robocasa_365 (data_config):
|
| 75 |
+
['robocasa365_open_drawer_target_human
|
| 76 |
+
',
|
| 77 |
+
'robocasa365_atomic_target_human_all',
|
| 78 |
+
'robocasa365_composite_target_human_al
|
| 79 |
+
l', 'robocasa365_target_human_all']
|
| 80 |
+
INFO | >> Loaded data_config from registry.py:107
|
| 81 |
+
Robocasa_tabletop:
|
| 82 |
+
['fourier_gr1_arms_waist']
|
| 83 |
+
INFO | >> Loaded embodiment_tags from registry.py:110
|
| 84 |
+
Robocasa_tabletop (data_config): []
|
| 85 |
+
INFO | >> Loaded mixtures from registry.py:113
|
| 86 |
+
Robocasa_tabletop (data_config):
|
| 87 |
+
['fourier_gr1_unified_1000']
|
| 88 |
+
INFO | >> Loaded data_config from registry.py:107
|
| 89 |
+
Robotwin: ['robotwin', 'robotwin50',
|
| 90 |
+
'arx_x5']
|
| 91 |
+
INFO | >> Loaded embodiment_tags from registry.py:110
|
| 92 |
+
Robotwin (data_config): []
|
| 93 |
+
INFO | >> Loaded mixtures from Robotwin registry.py:113
|
| 94 |
+
(data_config): ['robotwin_all',
|
| 95 |
+
'robotwin_all_50', 'robotwin',
|
| 96 |
+
'robotwin_task1', 'robotwin_task2',
|
| 97 |
+
'arx_x5']
|
| 98 |
+
INFO | >> Loaded data_config from registry.py:107
|
| 99 |
+
SimplerEnv: ['oxe_droid',
|
| 100 |
+
'oxe_bridge', 'oxe_rt1']
|
| 101 |
+
INFO | >> Loaded embodiment_tags from registry.py:110
|
| 102 |
+
SimplerEnv (data_config): []
|
| 103 |
+
INFO | >> Loaded mixtures from SimplerEnv registry.py:113
|
| 104 |
+
(data_config): ['bridge',
|
| 105 |
+
'bridge_rt_1']
|
| 106 |
+
INFO | >> Loaded data_config from registry.py:107
|
| 107 |
+
VLA-Arena: ['vla_arena_franka']
|
| 108 |
+
INFO | >> Loaded embodiment_tags from registry.py:110
|
| 109 |
+
VLA-Arena (data_config): []
|
| 110 |
+
INFO | >> Loaded mixtures from VLA-Arena registry.py:113
|
| 111 |
+
(data_config): ['vla_arena_L0_S',
|
| 112 |
+
'vla_arena_L0_M', 'vla_arena_L0_L']
|
| 113 |
+
INFO | >> Loaded data_config from registry.py:107
|
| 114 |
+
rl_games: ['rl_games_flappy',
|
| 115 |
+
'rl_games_demon_attack',
|
| 116 |
+
'rl_games_defend_the_line',
|
| 117 |
+
'rl_games_deadly_corridor',
|
| 118 |
+
'rl_games_asterix',
|
| 119 |
+
'rl_games_atlantis',
|
| 120 |
+
'rl_games_gymnasium',
|
| 121 |
+
'rl_games_gymnasium_discrete',
|
| 122 |
+
'rl_games_gymnasium_native']
|
| 123 |
+
INFO | >> Loaded embodiment_tags from registry.py:110
|
| 124 |
+
rl_games (data_config):
|
| 125 |
+
['rl_games_flappy',
|
| 126 |
+
'rl_games_demon_attack',
|
| 127 |
+
'rl_games_defend_the_line',
|
| 128 |
+
'rl_games_deadly_corridor',
|
| 129 |
+
'rl_games_asterix',
|
| 130 |
+
'rl_games_atlantis',
|
| 131 |
+
'rl_games_gymnasium',
|
| 132 |
+
'rl_games_gymnasium_discrete',
|
| 133 |
+
'rl_games_gymnasium_native']
|
| 134 |
+
INFO | >> Loaded mixtures from rl_games registry.py:113
|
| 135 |
+
(data_config): ['flappy_train',
|
| 136 |
+
'flappy_train__bridge',
|
| 137 |
+
'flappy_mixed_latency_train',
|
| 138 |
+
'flappy_mixed_latency_train__bridge',
|
| 139 |
+
'demon_attack_train',
|
| 140 |
+
'demon_attack_train__bridge',
|
| 141 |
+
'demon_attack_mixed_latency_train',
|
| 142 |
+
'demon_attack_mixed_latency_train__bri
|
| 143 |
+
dge', 'defend_the_line_train',
|
| 144 |
+
'defend_the_line_train__bridge',
|
| 145 |
+
'defend_the_line_mixed_latency_train',
|
| 146 |
+
'defend_the_line_mixed_latency_train__
|
| 147 |
+
bridge', 'deadly_corridor_train',
|
| 148 |
+
'deadly_corridor_train__bridge',
|
| 149 |
+
'deadly_corridor_mixed_latency_train',
|
| 150 |
+
'deadly_corridor_mixed_latency_train__
|
| 151 |
+
bridge', 'asterix_train',
|
| 152 |
+
'asterix_train__bridge',
|
| 153 |
+
'asterix_mixed_latency_train',
|
| 154 |
+
'asterix_mixed_latency_train__bridge',
|
| 155 |
+
'atlantis_train',
|
| 156 |
+
'atlantis_train__bridge',
|
| 157 |
+
'atlantis_mixed_latency_train',
|
| 158 |
+
'atlantis_mixed_latency_train__bridge'
|
| 159 |
+
, 'h1hand_balance_hard']
|
| 160 |
+
INFO | >> PolicyServerWrapper: loading policy_wrapper.py:73
|
| 161 |
+
framework from
|
| 162 |
+
/workspace/.hf_home/hub/models--l
|
| 163 |
+
atency-sensitive-bench--benchmark
|
| 164 |
+
-models/snapshots/180da0effdaaaea
|
| 165 |
+
cef218cf5fbaa4db41af67495/latency
|
| 166 |
+
-aware/ant/vla/starvla-qwenpi_v3-
|
| 167 |
+
h1/ant_pi05_profile_h1_5fps_g128_
|
| 168 |
+
20260920/checkpoints/model.pt
|
| 169 |
+
INFO | >> [*] Loading from local share_tools.py:418
|
| 170 |
+
checkpoint path
|
| 171 |
+
`/workspace/.hf_home/hub/models--la
|
| 172 |
+
tency-sensitive-bench--benchmark-mo
|
| 173 |
+
dels/snapshots/180da0effdaaaeacef21
|
| 174 |
+
8cf5fbaa4db41af67495/latency-aware/
|
| 175 |
+
ant/vla/starvla-qwenpi_v3-h1/ant_pi
|
| 176 |
+
05_profile_h1_5fps_g128_20260920/ch
|
| 177 |
+
eckpoints/model.pt`
|
| 178 |
+
[QWen3] loading /workspace/.hf_home/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17 with gradient_checkpointing=False
|
| 179 |
+
|
| 180 |
+
Total number of DiT parameters: 533349376
|
| 181 |
+
09/29 [03:42:07] INFO | >> [*] Loading from local share_tools.py:418
|
| 182 |
+
checkpoint path
|
| 183 |
+
`/workspace/.hf_home/hub/models--la
|
| 184 |
+
tency-sensitive-bench--benchmark-mo
|
| 185 |
+
dels/snapshots/180da0effdaaaeacef21
|
| 186 |
+
8cf5fbaa4db41af67495/latency-aware/
|
| 187 |
+
ant/vla/starvla-qwenpi_v3-h1/ant_pi
|
| 188 |
+
05_profile_h1_5fps_g128_20260920/ch
|
| 189 |
+
eckpoints/model.pt`
|
| 190 |
+
INFO | >> [*] Loading from local share_tools.py:418
|
| 191 |
+
checkpoint path
|
| 192 |
+
`/workspace/.hf_home/hub/models--la
|
| 193 |
+
tency-sensitive-bench--benchmark-mo
|
| 194 |
+
dels/snapshots/180da0effdaaaeacef21
|
| 195 |
+
8cf5fbaa4db41af67495/latency-aware/
|
| 196 |
+
ant/vla/starvla-qwenpi_v3-h1/ant_pi
|
| 197 |
+
05_profile_h1_5fps_g128_20260920/ch
|
| 198 |
+
eckpoints/model.pt`
|
| 199 |
+
INFO | >> [*] Loading from local share_tools.py:418
|
| 200 |
+
checkpoint path
|
| 201 |
+
`/workspace/.hf_home/hub/models--la
|
| 202 |
+
tency-sensitive-bench--benchmark-mo
|
| 203 |
+
dels/snapshots/180da0effdaaaeacef21
|
| 204 |
+
8cf5fbaa4db41af67495/latency-aware/
|
| 205 |
+
ant/vla/starvla-qwenpi_v3-h1/ant_pi
|
| 206 |
+
05_profile_h1_5fps_g128_20260920/ch
|
| 207 |
+
eckpoints/model.pt`
|
| 208 |
+
INFO | >> PolicyNormProcessor policy_norm_processor.py:333
|
| 209 |
+
ready:
|
| 210 |
+
robot_type=rl_games_gymna
|
| 211 |
+
sium,
|
| 212 |
+
unnorm_key=new_embodiment
|
| 213 |
+
,
|
| 214 |
+
action_keys=['action.butt
|
| 215 |
+
on'] (dims=[8]),
|
| 216 |
+
state_keys=['state.game_s
|
| 217 |
+
tate']
|
| 218 |
+
INFO | >> PolicyServerWrapper ready: policy_wrapper.py:126
|
| 219 |
+
action_chunk_size=1,
|
| 220 |
+
default_unnorm_key=new_embodimen
|
| 221 |
+
t,
|
| 222 |
+
available_unnorm_keys=['new_embo
|
| 223 |
+
diment'],
|
| 224 |
+
action_keys=['action.button'],
|
| 225 |
+
state_keys=['state.game_state']
|
| 226 |
+
INFO | >> [*] Loading from local share_tools.py:418
|
| 227 |
+
checkpoint path
|
| 228 |
+
`/workspace/.hf_home/hub/models--la
|
| 229 |
+
tency-sensitive-bench--benchmark-mo
|
| 230 |
+
dels/snapshots/180da0effdaaaeacef21
|
| 231 |
+
8cf5fbaa4db41af67495/latency-aware/
|
| 232 |
+
ant/vla/starvla-qwenpi_v3-h1/ant_pi
|
| 233 |
+
05_profile_h1_5fps_g128_20260920/ch
|
| 234 |
+
eckpoints/model.pt`
|
| 235 |
+
INFO | >> PolicyNormProcessor policy_norm_processor.py:333
|
| 236 |
+
ready:
|
| 237 |
+
robot_type=rl_games_gymna
|
| 238 |
+
sium,
|
| 239 |
+
unnorm_key=new_embodiment
|
| 240 |
+
,
|
| 241 |
+
action_keys=['action.butt
|
| 242 |
+
on'] (dims=[8]),
|
| 243 |
+
state_keys=['state.game_s
|
| 244 |
+
tate']
|
| 245 |
+
[bench] sweep 1/1 episode 1/2 done
|
| 246 |
+
[bench] sweep 1/1 episode 2/2 done
|
| 247 |
+
[bench] sweep 1/1 complete elapsed=287.6s
|
| 248 |
+
episode=0 return=839.201 steps=376 mean_latency_ms=188.43668733551692
|
| 249 |
+
episode=1 return=2302.610 steps=1000 mean_latency_ms=189.1439576319839
|
| 250 |
+
summary latency=profile_sample episodes=2 mean_return=1570.905 std_return=731.705 mean_length=688.0
|
sim2real/ant/qwenpi_v3/1x-rtx3090/instance_33621945a15d3b38/20260928T224938800288Z/sim/temporal/4/steps.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|