Add files using upload-large-folder tool

outputs/rl_games_raw/deadly_corridor_fixed_l2_fs2/metadata.json

@@ -0,0 +1,51 @@
+{
+  "action_labels": {
+    "0": "MOVE_FORWARD",
+    "1": "MOVE_BACKWARD",
+    "2": "MOVE_LEFT",
+    "3": "MOVE_RIGHT",
+    "4": "TURN_LEFT",
+    "5": "TURN_RIGHT",
+    "6": "ATTACK"
+  },
+  "base_prompt": "You are playing Deadly Corridor. Your goal is to survive the corridor, fight enemies, and reach the green armor vest at the far end. Choose one option from each action group: turn (TURN_NOOP, TURN_LEFT, TURN_RIGHT), move (MOVE_NOOP, MOVE_FORWARD, MOVE_BACKWARD), strafe (STRAFE_NOOP, MOVE_LEFT, MOVE_RIGHT), and attack (ATTACK_NOOP, ATTACK). The four choices are combined into the next action.",
+  "checkpoint_experiment_dir": "/mnt/data/latency_data/results/checkpoints_jitter_sweeps/deadly_corridor/deadly_corridor_jitter_fixed_l2_obs15_seed1",
+  "checkpoint_path": null,
+  "checkpoint_train_step": 48836,
+  "config_source": "/mnt/data/latency_data/results/checkpoints_jitter_sweeps/deadly_corridor/deadly_corridor_jitter_fixed_l2_obs15_seed1/config.json",
+  "deterministic": true,
+  "env_fps": 35.0,
+  "env_name": "deadly_corridor",
+  "frame_stack": 4,
+  "image_resolution": [
+    120,
+    160,
+    3
+  ],
+  "image_source": "env_raw_rgb",
+  "image_stack_order": "oldest_to_newest",
+  "image_stack_size": 2,
+  "image_stack_source": "env_raw_rgb_frame_stack",
+  "latency_config": {
+    "add_latency_info": true,
+    "fixed_latency_ms": 33.333333333333336,
+    "type": "fixed"
+  },
+  "latency_source": "checkpoint",
+  "max_episodes": 1000,
+  "max_steps_per_episode": 1000,
+  "num_envs": 12,
+  "obs_fps": 8.75,
+  "obs_stride_raw_frames": 4,
+  "prompt_source": "scripts/rollout_data/prompts.py",
+  "prompt_timing_suffix": " Current action latency is {latency_raw_frames} raw frames ({latency_ms:.2f} ms).  The environment runs at {env_fps:g} FPS and observations are emitted at {obs_fps:g} FPS. Choose the best next action.",
+  "rows_unit": "decision_step",
+  "split_seed": 0,
+  "total_episodes": 1000,
+  "total_rows": 44287,
+  "train_episodes": 990,
+  "train_rows": 43851,
+  "val_episodes": 10,
+  "val_fraction": 0.01,
+  "val_rows": 436
+}

outputs/rl_games_raw/deadly_corridor_fixed_l2_fs2/sample_factory_init.log

@@ -0,0 +1,17 @@
+[2026-05-26 17:17:58,178][3701074] register_encoder_factory: <function make_vizdoom_encoder at 0x7fa430ed96c0>
+[2026-05-26 17:17:58,194][3701074] Loading existing experiment configuration from /mnt/data/latency_data/results/checkpoints_jitter_sweeps/deadly_corridor/deadly_corridor_jitter_fixed_l2_obs15_seed1/config.json
+[2026-05-26 17:17:58,195][3701074] Overriding arg 'train_dir' with value '/mnt/data/latency_data/results/checkpoints_jitter_sweeps/deadly_corridor' passed from command line
+[2026-05-26 17:17:58,195][3701074] Overriding arg 'device' with value 'cpu' passed from command line
+[2026-05-26 17:17:58,195][3701074] Overriding arg 'mode' with value 'eval' passed from command line
+[2026-05-26 17:17:58,195][3701074] Overriding arg 'add_latency_info' with value True passed from command line
+[2026-05-26 17:17:58,195][3701074] Overriding arg 'episode_metrics_path' with value '/mnt/data/latency_data/results/checkpoints_jitter_sweeps/deadly_corridor/deadly_corridor_jitter_fixed_l2_obs15_seed1/episode_metrics.jsonl' passed from command line
+[2026-05-26 17:17:58,220][3701074] Doom resolution: 160x120, resize resolution: (128, 72)
+/home/lixinyuan/miniconda3/envs/latency/lib/python3.10/site-packages/gymnasium/core.py:311: UserWarning: WARN: env.num_agents to get variables from other wrappers is deprecated and will be removed in v1.0, to get this variable you can do `env.unwrapped.num_agents` for environment variables or `env.get_wrapper_attr('num_agents')` that will search the reminding wrappers.
+  logger.warn(
+/home/lixinyuan/miniconda3/envs/latency/lib/python3.10/site-packages/gymnasium/core.py:311: UserWarning: WARN: env.is_multiagent to get variables from other wrappers is deprecated and will be removed in v1.0, to get this variable you can do `env.unwrapped.is_multiagent` for environment variables or `env.get_wrapper_attr('is_multiagent')` that will search the reminding wrappers.
+  logger.warn(
+[2026-05-26 17:17:58,473][3701074] RunningMeanStd input shape: (12, 72, 128)
+[2026-05-26 17:17:58,475][3701074] RunningMeanStd input shape: (1,)
+[2026-05-26 17:17:58,485][3701074] ConvEncoder: input_channels=12
+[2026-05-26 17:17:58,724][3701074] Conv encoder output size: 512
+[2026-05-26 17:17:58,724][3701074] Policy head output size: 512

outputs/rl_games_raw/deadly_corridor_fixed_l2_fs4/.gitattributes

@@ -0,0 +1,60 @@
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+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.avro filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
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+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text

outputs/rl_games_raw/deadly_corridor_fixed_l2_fs4/metadata.json

@@ -0,0 +1,51 @@
+{
+  "action_labels": {
+    "0": "MOVE_FORWARD",
+    "1": "MOVE_BACKWARD",
+    "2": "MOVE_LEFT",
+    "3": "MOVE_RIGHT",
+    "4": "TURN_LEFT",
+    "5": "TURN_RIGHT",
+    "6": "ATTACK"
+  },
+  "base_prompt": "You are playing Deadly Corridor. Your goal is to survive the corridor, fight enemies, and reach the green armor vest at the far end. Choose one option from each action group: turn (TURN_NOOP, TURN_LEFT, TURN_RIGHT), move (MOVE_NOOP, MOVE_FORWARD, MOVE_BACKWARD), strafe (STRAFE_NOOP, MOVE_LEFT, MOVE_RIGHT), and attack (ATTACK_NOOP, ATTACK). The four choices are combined into the next action.",
+  "checkpoint_experiment_dir": "/mnt/data/latency_data/results/checkpoints_jitter_sweeps/deadly_corridor/deadly_corridor_jitter_fixed_l2_obs15_seed1",
+  "checkpoint_path": null,
+  "checkpoint_train_step": 48836,
+  "config_source": "/mnt/data/latency_data/results/checkpoints_jitter_sweeps/deadly_corridor/deadly_corridor_jitter_fixed_l2_obs15_seed1/config.json",
+  "deterministic": true,
+  "env_fps": 35.0,
+  "env_name": "deadly_corridor",
+  "frame_stack": 4,
+  "image_resolution": [
+    120,
+    160,
+    3
+  ],
+  "image_source": "env_raw_rgb",
+  "image_stack_order": "oldest_to_newest",
+  "image_stack_size": 4,
+  "image_stack_source": "env_raw_rgb_frame_stack",
+  "latency_config": {
+    "add_latency_info": true,
+    "fixed_latency_ms": 33.333333333333336,
+    "type": "fixed"
+  },
+  "latency_source": "checkpoint",
+  "max_episodes": 1000,
+  "max_steps_per_episode": 1000,
+  "num_envs": 12,
+  "obs_fps": 8.75,
+  "obs_stride_raw_frames": 4,
+  "prompt_source": "scripts/rollout_data/prompts.py",
+  "prompt_timing_suffix": " Current action latency is {latency_raw_frames} raw frames ({latency_ms:.2f} ms).  The environment runs at {env_fps:g} FPS and observations are emitted at {obs_fps:g} FPS. Choose the best next action.",
+  "rows_unit": "decision_step",
+  "split_seed": 0,
+  "total_episodes": 1000,
+  "total_rows": 44287,
+  "train_episodes": 990,
+  "train_rows": 43851,
+  "val_episodes": 10,
+  "val_fraction": 0.01,
+  "val_rows": 436
+}

outputs/rl_games_raw/deadly_corridor_fixed_l2_fs4/sample_factory_init.log

@@ -0,0 +1,17 @@
+[2026-05-26 17:38:51,691][3740169] register_encoder_factory: <function make_vizdoom_encoder at 0x7f7fa47a16c0>
+[2026-05-26 17:38:51,704][3740169] Loading existing experiment configuration from /mnt/data/latency_data/results/checkpoints_jitter_sweeps/deadly_corridor/deadly_corridor_jitter_fixed_l2_obs15_seed1/config.json
+[2026-05-26 17:38:51,704][3740169] Overriding arg 'train_dir' with value '/mnt/data/latency_data/results/checkpoints_jitter_sweeps/deadly_corridor' passed from command line
+[2026-05-26 17:38:51,704][3740169] Overriding arg 'device' with value 'cpu' passed from command line
+[2026-05-26 17:38:51,704][3740169] Overriding arg 'mode' with value 'eval' passed from command line
+[2026-05-26 17:38:51,704][3740169] Overriding arg 'add_latency_info' with value True passed from command line
+[2026-05-26 17:38:51,704][3740169] Overriding arg 'episode_metrics_path' with value '/mnt/data/latency_data/results/checkpoints_jitter_sweeps/deadly_corridor/deadly_corridor_jitter_fixed_l2_obs15_seed1/episode_metrics.jsonl' passed from command line
+[2026-05-26 17:38:51,734][3740169] Doom resolution: 160x120, resize resolution: (128, 72)
+/home/lixinyuan/miniconda3/envs/latency/lib/python3.10/site-packages/gymnasium/core.py:311: UserWarning: WARN: env.num_agents to get variables from other wrappers is deprecated and will be removed in v1.0, to get this variable you can do `env.unwrapped.num_agents` for environment variables or `env.get_wrapper_attr('num_agents')` that will search the reminding wrappers.
+  logger.warn(
+/home/lixinyuan/miniconda3/envs/latency/lib/python3.10/site-packages/gymnasium/core.py:311: UserWarning: WARN: env.is_multiagent to get variables from other wrappers is deprecated and will be removed in v1.0, to get this variable you can do `env.unwrapped.is_multiagent` for environment variables or `env.get_wrapper_attr('is_multiagent')` that will search the reminding wrappers.
+  logger.warn(
+[2026-05-26 17:38:51,976][3740169] RunningMeanStd input shape: (12, 72, 128)
+[2026-05-26 17:38:51,978][3740169] RunningMeanStd input shape: (1,)
+[2026-05-26 17:38:51,990][3740169] ConvEncoder: input_channels=12
+[2026-05-26 17:38:52,127][3740169] Conv encoder output size: 512
+[2026-05-26 17:38:52,128][3740169] Policy head output size: 512

outputs/rl_games_raw/deadly_corridor_fixed_l2_fs6/.gitattributes

@@ -0,0 +1,60 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.avro filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
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+*.lfs.* filter=lfs diff=lfs merge=lfs -text
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+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
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+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text

outputs/rl_games_raw/deadly_corridor_fixed_l2_fs6/metadata.json

@@ -0,0 +1,51 @@
+{
+  "action_labels": {
+    "0": "MOVE_FORWARD",
+    "1": "MOVE_BACKWARD",
+    "2": "MOVE_LEFT",
+    "3": "MOVE_RIGHT",
+    "4": "TURN_LEFT",
+    "5": "TURN_RIGHT",
+    "6": "ATTACK"
+  },
+  "base_prompt": "You are playing Deadly Corridor. Your goal is to survive the corridor, fight enemies, and reach the green armor vest at the far end. Choose one option from each action group: turn (TURN_NOOP, TURN_LEFT, TURN_RIGHT), move (MOVE_NOOP, MOVE_FORWARD, MOVE_BACKWARD), strafe (STRAFE_NOOP, MOVE_LEFT, MOVE_RIGHT), and attack (ATTACK_NOOP, ATTACK). The four choices are combined into the next action.",
+  "checkpoint_experiment_dir": "/mnt/data/latency_data/results/checkpoints_jitter_sweeps/deadly_corridor/deadly_corridor_jitter_fixed_l2_obs15_seed1",
+  "checkpoint_path": null,
+  "checkpoint_train_step": 48836,
+  "config_source": "/mnt/data/latency_data/results/checkpoints_jitter_sweeps/deadly_corridor/deadly_corridor_jitter_fixed_l2_obs15_seed1/config.json",
+  "deterministic": true,
+  "env_fps": 35.0,
+  "env_name": "deadly_corridor",
+  "frame_stack": 4,
+  "image_resolution": [
+    120,
+    160,
+    3
+  ],
+  "image_source": "env_raw_rgb",
+  "image_stack_order": "oldest_to_newest",
+  "image_stack_size": 6,
+  "image_stack_source": "env_raw_rgb_frame_stack",
+  "latency_config": {
+    "add_latency_info": true,
+    "fixed_latency_ms": 33.333333333333336,
+    "type": "fixed"
+  },
+  "latency_source": "checkpoint",
+  "max_episodes": 1000,
+  "max_steps_per_episode": 1000,
+  "num_envs": 12,
+  "obs_fps": 8.75,
+  "obs_stride_raw_frames": 4,
+  "prompt_source": "scripts/rollout_data/prompts.py",
+  "prompt_timing_suffix": " Current action latency is {latency_raw_frames} raw frames ({latency_ms:.2f} ms).  The environment runs at {env_fps:g} FPS and observations are emitted at {obs_fps:g} FPS. Choose the best next action.",
+  "rows_unit": "decision_step",
+  "split_seed": 0,
+  "total_episodes": 1000,
+  "total_rows": 44287,
+  "train_episodes": 990,
+  "train_rows": 43851,
+  "val_episodes": 10,
+  "val_fraction": 0.01,
+  "val_rows": 436
+}

outputs/rl_games_raw/deadly_corridor_fixed_l2_fs6/sample_factory_init.log

@@ -0,0 +1,17 @@
+[2026-05-26 17:59:05,461][3776471] register_encoder_factory: <function make_vizdoom_encoder at 0x7f7ae8bbdc60>
+[2026-05-26 17:59:05,482][3776471] Loading existing experiment configuration from /mnt/data/latency_data/results/checkpoints_jitter_sweeps/deadly_corridor/deadly_corridor_jitter_fixed_l2_obs15_seed1/config.json
+[2026-05-26 17:59:05,482][3776471] Overriding arg 'train_dir' with value '/mnt/data/latency_data/results/checkpoints_jitter_sweeps/deadly_corridor' passed from command line
+[2026-05-26 17:59:05,482][3776471] Overriding arg 'device' with value 'cpu' passed from command line
+[2026-05-26 17:59:05,482][3776471] Overriding arg 'mode' with value 'eval' passed from command line
+[2026-05-26 17:59:05,482][3776471] Overriding arg 'add_latency_info' with value True passed from command line
+[2026-05-26 17:59:05,482][3776471] Overriding arg 'episode_metrics_path' with value '/mnt/data/latency_data/results/checkpoints_jitter_sweeps/deadly_corridor/deadly_corridor_jitter_fixed_l2_obs15_seed1/episode_metrics.jsonl' passed from command line
+[2026-05-26 17:59:05,511][3776471] Doom resolution: 160x120, resize resolution: (128, 72)
+/home/lixinyuan/miniconda3/envs/latency/lib/python3.10/site-packages/gymnasium/core.py:311: UserWarning: WARN: env.num_agents to get variables from other wrappers is deprecated and will be removed in v1.0, to get this variable you can do `env.unwrapped.num_agents` for environment variables or `env.get_wrapper_attr('num_agents')` that will search the reminding wrappers.
+  logger.warn(
+/home/lixinyuan/miniconda3/envs/latency/lib/python3.10/site-packages/gymnasium/core.py:311: UserWarning: WARN: env.is_multiagent to get variables from other wrappers is deprecated and will be removed in v1.0, to get this variable you can do `env.unwrapped.is_multiagent` for environment variables or `env.get_wrapper_attr('is_multiagent')` that will search the reminding wrappers.
+  logger.warn(
+[2026-05-26 17:59:05,753][3776471] RunningMeanStd input shape: (12, 72, 128)
+[2026-05-26 17:59:05,755][3776471] RunningMeanStd input shape: (1,)
+[2026-05-26 17:59:05,765][3776471] ConvEncoder: input_channels=12
+[2026-05-26 17:59:05,869][3776471] Conv encoder output size: 512
+[2026-05-26 17:59:05,870][3776471] Policy head output size: 512

outputs/starvla_pipeline/eval/jitter_deconstruction/deadly_corridor_ce_latency/normal_mean_2_std_1_min_0_max_4/videos/bin_07_episode_000006.mp4

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outputs/starvla_pipeline/eval/jitter_deconstruction/deadly_corridor_ce_latency/normal_mean_2_std_1_min_0_max_4/videos/bin_08_episode_000016.mp4

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outputs/starvla_pipeline/logs/deadly_corridor_ce_fixed2_prompt_fix.log

@@ -0,0 +1,210 @@
+[bench] run=jitter_deconstruction_openvla_deadly_corridor_ce__latency_fixed2_prompt_fix sweeps=1 episodes_per_sweep=20 total_episode_runs=20
+[bench] sweep 1/1: suite=fixed_2 eval_latency=2
+[2026-05-27 06:50:44,791][02854] register_encoder_factory: <function make_vizdoom_encoder at 0x7afccccb7910>
+[2026-05-27 06:50:44,794][02855] register_encoder_factory: <function make_vizdoom_encoder at 0x7afccccb6ef0>
+[2026-05-27 06:50:44,795][02856] register_encoder_factory: <function make_vizdoom_encoder at 0x7afccccb6ef0>
+[2026-05-27 06:50:44,798][02859] register_encoder_factory: <function make_vizdoom_encoder at 0x7afccccb6ef0>
+[2026-05-27 06:50:44,808][02854] Doom resolution: 160x120, resize resolution: (128, 72)
+[2026-05-27 06:50:44,811][02855] Doom resolution: 160x120, resize resolution: (128, 72)
+[2026-05-27 06:50:44,812][02856] Doom resolution: 160x120, resize resolution: (128, 72)
+[2026-05-27 06:50:44,817][02859] Doom resolution: 160x120, resize resolution: (128, 72)
+/venv/starvla_rl_games_openvla/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()
+05/27 [06:50:46] INFO     | >>  Loaded mixtures from Behavior    registry.py:112
+                          (data_config): ['BEHAVIOR_challenge']                 
+                 INFO     | >>  Loaded data_config from DOMINO:  registry.py:106
+                          ['robotwin']                                          
+                 INFO     | >>  Loaded embodiment_tags from      registry.py:109
+                          DOMINO (data_config): []                              
+                 INFO     | >>  Loaded mixtures from DOMINO      registry.py:112
+                          (data_config): ['domino',                             
+                          'domino_clean', 'domino_random',                      
+                          'domino_cotrain']                                     
+                 INFO     | >>  Loaded data_config from Franka:  registry.py:106
+                          ['custom_robot_config',                               
+                          'demo_sim_franka_delta_joints',                       
+                          'SO101']                                              
+                 INFO     | >>  Loaded embodiment_tags from      registry.py:109
+                          Franka (data_config): []                              
+                 INFO     | >>  Loaded mixtures from Franka      registry.py:112
+                          (data_config): ['custom_dataset',                     
+                          'custom_dataset_2',                                   
+                          'demo_sim_pick_place', 'SO101_pick']                  
+                 INFO     | >>  Loaded data_config from LIBERO:  registry.py:106
+                          ['libero_franka']                                     
+                 INFO     | >>  Loaded embodiment_tags from      registry.py:109
+                          LIBERO (data_config): []                              
+                 INFO     | >>  Loaded mixtures from LIBERO      registry.py:112
+                          (data_config): ['libero_all',                         
+                          'libero_goal', 'multi_robot']                         
+                 INFO     | >>  Loaded data_config from          registry.py:106
+                          RoboChallenge_table30v2:                              
+                          ['ur5_robochallenge',                                 
+                          'arx5_robochallenge',                                 
+                          'dosw1_robochallenge']                                
+                 INFO     | >>  Loaded embodiment_tags from      registry.py:109
+                          RoboChallenge_table30v2 (data_config):                
+                          ['ur5_robochallenge',                                 
+                          'arx5_robochallenge',                                 
+                          'dosw1_robochallenge']                                
+                 INFO     | >>  Loaded mixtures from             registry.py:112
+                          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:106
+                          Robocasa_365:                                         
+                          ['panda_omron_robocasa365']                           
+                 INFO     | >>  Loaded embodiment_tags from      registry.py:109
+                          Robocasa_365 (data_config): []                        
+                 INFO     | >>  Loaded mixtures from             registry.py:112
+                          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:106
+                          Robocasa_tabletop:                                    
+                          ['fourier_gr1_arms_waist']                            
+                 INFO     | >>  Loaded embodiment_tags from      registry.py:109
+                          Robocasa_tabletop (data_config): []                   
+                 INFO     | >>  Loaded mixtures from             registry.py:112
+                          Robocasa_tabletop (data_config):                      
+                          ['fourier_gr1_unified_1000']                          
+                 INFO     | >>  Loaded data_config from          registry.py:106
+                          Robotwin: ['robotwin', 'robotwin50',                  
+                          'arx_x5']                                             
+                 INFO     | >>  Loaded embodiment_tags from      registry.py:109
+                          Robotwin (data_config): []                            
+                 INFO     | >>  Loaded mixtures from Robotwin    registry.py:112
+                          (data_config): ['robotwin_all',                       
+                          'robotwin_all_50', 'robotwin',                        
+                          'robotwin_task1', 'robotwin_task2',                   
+                          'arx_x5']                                             
+                 INFO     | >>  Loaded data_config from          registry.py:106
+                          SimplerEnv: ['oxe_droid',                             
+                          'oxe_bridge', 'oxe_rt1']                              
+                 INFO     | >>  Loaded embodiment_tags from      registry.py:109
+                          SimplerEnv (data_config): []                          
+                 INFO     | >>  Loaded mixtures from SimplerEnv  registry.py:112
+                          (data_config): ['bridge',                             
+                          'bridge_rt_1']                                        
+                 INFO     | >>  Loaded data_config from          registry.py:106
+                          VLA-Arena: ['vla_arena_franka']                       
+                 INFO     | >>  Loaded embodiment_tags from      registry.py:109
+                          VLA-Arena (data_config): []                           
+                 INFO     | >>  Loaded mixtures from VLA-Arena   registry.py:112
+                          (data_config): ['vla_arena_L0_S',                     
+                          'vla_arena_L0_M', 'vla_arena_L0_L']                   
+                 INFO     | >>  Loaded data_config from          registry.py:106
+                          rl_games: ['rl_games_flappy',                         
+                          'rl_games_demon_attack',                              
+                          'rl_games_deadly_corridor']                           
+                 INFO     | >>  Loaded embodiment_tags from      registry.py:109
+                          rl_games (data_config):                               
+                          ['rl_games_flappy',                                   
+                          'rl_games_demon_attack',                              
+                          'rl_games_deadly_corridor']                           
+                 INFO     | >>  Loaded mixtures from rl_games    registry.py:112
+                          (data_config): ['flappy_train',                       
+                          'flappy_mixed_latency_train',                         
+                          'flappy_fixed_l2_fs1',                                
+                          'flappy_fixed_l2_fs2',                                
+                          'flappy_fixed_l2_fs4',                                
+                          'flappy_fixed_l2_fs6',                                
+                          'demon_attack_train',                                 
+                          'demon_attack_mixed_latency_train',                   
+                          'demon_attack_fixed_l2_fs1',                          
+                          'demon_attack_fixed_l2_fs2',                          
+                          'demon_attack_fixed_l2_fs4',                          
+                          'demon_attack_fixed_l2_fs6',                          
+                          'deadly_corridor_train',                              
+                          'deadly_corridor_train_factorized11',                 
+                          'deadly_corridor_fixed_l2_fs1',                       
+                          'deadly_corridor_fixed_l2_fs2',                       
+                          'deadly_corridor_fixed_l2_fs4',                       
+                          'deadly_corridor_fixed_l2_fs6',                       
+                          'deadly_corridor_mixed_latency_train',                
+                          'deadly_corridor_mixed_latency_train_f                
+                          actorized11']                                         
+                 INFO     | >> PolicyServerWrapper: loading policy_wrapper.py:49
+                          framework from                                        
+                          /workspace/results/Checkpoints/ji                     
+                          tter_deconstruction_openvla_deadl                     
+                          y_corridor_ce/final_model                             
+                 INFO     | >> [*] Loading from local         share_tools.py:375
+                          checkpoint path                                       
+                          `/workspace/results/Checkpoints/jit                   
+                          ter_deconstruction_openvla_deadly_c                   
+                          orridor_ce/final_model`                               
+                 INFO     | >> [*]  normalised config from    share_tools.py:532
+                          version_id=None to '0.21'                             
+[QWen3] loading /workspace/playground/Pretrained_models/Qwen3-VL-4B-Instruct-Action with gradient_checkpointing=True
+
+[QWen3] gradient_checkpointing ENABLED (use_reentrant=False, active=True, use_cache=None, text_use_cache=False)
+trainable params: 80,543,744 || all params: 4,523,602,432 || trainable%: 1.7805
+05/27 [06:50:49] INFO     | >> [*] Loading from local         share_tools.py:375
+                          checkpoint path                                       
+                          `/workspace/results/Checkpoints/jit                   
+                          ter_deconstruction_openvla_deadly_c                   
+                          orridor_ce/final_model`                               
+                 INFO     | >> [*]  normalised config from    share_tools.py:532
+                          version_id=None to '0.21'                             
+                 INFO     | >> [*] Loading from local         share_tools.py:375
+                          checkpoint path                                       
+                          `/workspace/results/Checkpoints/jit                   
+                          ter_deconstruction_openvla_deadly_c                   
+                          orridor_ce/final_model`                               
+                 INFO     | >> [*]  normalised config from    share_tools.py:532
+                          version_id=None to '0.21'                             
+                 INFO     | >> [*] Loading from local         share_tools.py:375
+                          checkpoint path                                       
+                          `/workspace/results/Checkpoints/jit                   
+                          ter_deconstruction_openvla_deadly_c                   
+                          orridor_ce/final_model`                               
+                 INFO     | >> [*]  normalised config from    share_tools.py:532
+                          version_id=None to '0.21'                             
+                 INFO     | >> PolicyNormProcessor  policy_norm_processor.py:320
+                          ready:                                                
+                          robot_type=rl_games_deadl                             
+                          y_corridor,                                           
+                          unnorm_key=new_embodiment                             
+                          ,                                                     
+                          action_keys=['action.butt                             
+                          on'] (dims=[11]),                                     
+                          state_keys=['state.game_s                             
+                          tate']                                                
+                 INFO     | >> PolicyServerWrapper ready:   policy_wrapper.py:86
+                          action_chunk_size=1,                                  
+                          default_unnorm_key=new_embodiment                     
+                          ,                                                     
+                          available_unnorm_keys=['new_embod                     
+                          iment'],                                              
+                          action_keys=['action.button'],                        
+                          state_keys=['state.game_state']                       
+[bench] sweep 1/1 episode 1/20 done
+[bench] sweep 1/1 episode 2/20 done
+[bench] sweep 1/1 episode 3/20 done
+[bench] sweep 1/1 episode 4/20 done
+[bench] sweep 1/1 episode 5/20 done
+[bench] sweep 1/1 episode 6/20 done
+[bench] sweep 1/1 episode 7/20 done
+[bench] sweep 1/1 episode 8/20 done
+[bench] sweep 1/1 episode 9/20 done
+[bench] sweep 1/1 episode 10/20 done
+[bench] sweep 1/1 episode 11/20 done
+[bench] sweep 1/1 episode 12/20 done
+[bench] sweep 1/1 episode 13/20 done
+[bench] sweep 1/1 episode 14/20 done
+[bench] sweep 1/1 episode 15/20 done
+[bench] sweep 1/1 episode 16/20 done
+[bench] sweep 1/1 episode 17/20 done
+[bench] sweep 1/1 episode 18/20 done
+[bench] sweep 1/1 episode 19/20 done
+[bench] sweep 1/1 episode 20/20 done
+[2026-05-27 06:51:16,718][02834] register_encoder_factory: <function make_vizdoom_encoder at 0x7af9fd299c60>
+[2026-05-27 06:51:16,731][02834] Doom resolution: 160x120, resize resolution: (128, 72)
+[bench] sweep 1/1 complete elapsed=32.9s
+summary suite=fixed_2 latency=2 episodes=20 mean_return=392.902 std_return=147.375 mean_length=97.5