diff --git a/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/README.md b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/README.md new file mode 100644 index 0000000000000000000000000000000000000000..29d841e4d2d43a256013736a4045e96990792c64 --- /dev/null +++ b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/README.md @@ -0,0 +1,35 @@ +# deadly_corridor / qwenoft — hist8 profile training + +Run `deadly_corridor-qwenoft-hist8-scratch-s42-v2`; final optimizer step **5000**, seed **42**. [W&B](https://wandb.ai/saberrr-zju/starvla_tasks/runs/1ade216c). + +Checkpoint SHA256: `29e42431b2fb4e83e74f21c0e7e108d43ebbeb91ab7c34da06c33cb0652fb56c`. + +## Model and inputs + +Full StarVLA state dict in `checkpoints/model.pt` (original evaluated bytes). Initialize the matching Qwen model with `config.yaml` and `dataset_statistics.json`. Base: `Qwen/Qwen3-VL-4B-Instruct@ebb281ec70b05090aa6165b016eac8ec08e71b17`; model-specific action head trained from random initialization. + +One current RGB image, eight prior causal decision histories (120 raw 0/1 values), action horizon 1. `h1` in this repository path is the action horizon; `hist8` is input history. Pass history as `transport`, preserve all-zero reset, and use identity state normalization. Prompt and action order are in `task_contract.json` and `manifest.json`. + +Training: 2 GPUs, bf16/ZeRO-2, batch 64 per rank, accumulation 1, global batch 128; 16 dataloader workers per rank and prefetch 4. Backbone LR 3e-6, action head 1e-4; other groups retain the recorded configuration. Warmup 100, cosine min_lr_rate 1/30, 5000 steps. Full historical training configuration and code snapshot are included. + +## Formal evaluation + +| Environment | Episodes | Return mean ± std | Mean raw frames | +|---|---:|---:|---:| +| profile | 100 | 2091.2341 ± 579.6123 | 174.10 | + +Seeds 1,000,000–1,000,099; parallel 32; capacity 1; FPS/decision Hz 35/8.75; max 3600 raw frames. Zero-trained models have both zero and profile evaluations; profile-trained models have the matching profile evaluation. `profiles/profile.json` is the exact model-specific latency profile, with SHA in provenance. + +Each `evaluations//` contains the evaluated config, 100 episode records, action audit including raw-score summaries, verification, provenance and evaluator code snapshot. Evaluation configs retain original machine paths as execution evidence; replace checkpoint, model-config, backbone, profile and output paths when replaying locally. Deadly Corridor requires 160×120 RGB with HUD, no crosshair, weapon enabled, decals/particles disabled before resizing. + +These are one-training-seed results. Architectures use different latency profiles. Zero/profile training also uses different teachers and collected data, so their score difference is not an isolated learning-rate ablation. + +## Download + +```python +from huggingface_hub import snapshot_download +prefix = "latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2" +repo = snapshot_download("latency-sensitive-bench/benchmark-models", allow_patterns=[prefix + "/**"]) +``` + +Use a pinned repository commit for reproduction. Preserve the original checkpoint SHA above. Optimizer/RNG resume state remains in the source training archive; this publication contains the inference checkpoint. diff --git a/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/bundle.complete.json b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/bundle.complete.json new file mode 100644 index 0000000000000000000000000000000000000000..2323b9be0ce83a227675bb3dc99ba055d81fa595 --- /dev/null +++ b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/bundle.complete.json @@ -0,0 +1,4 @@ +{ + "checkpoint_sha256": "29e42431b2fb4e83e74f21c0e7e108d43ebbeb91ab7c34da06c33cb0652fb56c", + "training_step": 5000 +} diff --git a/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/checkpoint.sha256 b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/checkpoint.sha256 new file mode 100644 index 0000000000000000000000000000000000000000..17df5f6a912bf935fdc30e962999aa81260a8c73 --- /dev/null +++ b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/checkpoint.sha256 @@ -0,0 +1 @@ +29e42431b2fb4e83e74f21c0e7e108d43ebbeb91ab7c34da06c33cb0652fb56c checkpoints/model.pt diff --git a/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/checkpoints/model.pt b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/checkpoints/model.pt new file mode 100644 index 0000000000000000000000000000000000000000..99183bfdc148bbe5e820ab1251e083effc51074a --- /dev/null +++ b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/checkpoints/model.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:29e42431b2fb4e83e74f21c0e7e108d43ebbeb91ab7c34da06c33cb0652fb56c +size 9785680289 diff --git a/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/collection_quality_report.json b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/collection_quality_report.json new file mode 100644 index 0000000000000000000000000000000000000000..8c754164df1e1b7050eb9a63827759822cd163fc --- /dev/null +++ b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/collection_quality_report.json @@ -0,0 +1,54 @@ +{ + "episodes": 8500, + "train_episodes": 7650, + "val_episodes": 850, + "train_labels": 320105, + "val_labels": 35269, + "raw_frames_quantiles": [ + 12.0, + 80.0, + 184.0, + 192.0, + 300.0 + ], + "return_quantiles": [ + -107.12611389160156, + 317.9335250854492, + 2279.792282104492, + 2285.2743957519533, + 2287.4384155273438 + ], + "termination_reasons": { + "terminated": 8500 + }, + "action_id_counts": { + "0": 2, + "1": 114, + "4": 5, + "5": 344, + "6": 10395, + "7": 47686, + "8": 27337, + "9": 16471, + "10": 4297, + "11": 120703, + "19": 46, + "22": 111, + "23": 86, + "24": 1105, + "25": 8107, + "26": 7840, + "27": 5539, + "28": 8125, + "29": 59142, + "37": 26, + "41": 4075, + "42": 31, + "43": 2751, + "44": 1, + "45": 11, + "46": 252, + "47": 30772 + }, + "previous_decision_admitted_fraction": 1.0 +} diff --git a/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/config.full.yaml b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/config.full.yaml new file mode 100644 index 0000000000000000000000000000000000000000..42504a238735a8d5893047c1f4ff3037336f7542 --- /dev/null +++ b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/config.full.yaml @@ -0,0 +1,276 @@ +framework: + name: QwenOFT + qwenvl: + base_vlm: /home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17 + attn_implementation: flash_attention_2 + enable_gradient_checkpointing: true + action_model: + action_model_type: MLP + action_dim: 7 + state_dim: 120 + action_hidden_dim: 2560 + future_action_window_size: 0 + past_action_window_size: 0 + loss_type: multibinary_bce + state_encoding: continuous_projector + task_objective: null + action_horizon: 1 + action_env_dim: 7 + kv_memory: + enabled: false + window: 4 + rollout_len: 8 + packed_train: false + rebased_sink: true +datasets: + vla_data: + dataset_py: lerobot_datasets + include_state: true + data_root_dir: /home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft + data_mix: lerobot + eval_data_mix: lerobot__val + custom_mixtures_path: /home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft/_generated_mixtures/lerobot.json + action_type: discrete + sequential_step_sampling: false + eval_sequential_step_sampling: null + num_workers: 16 + eval_num_workers: 16 + prefetch_factor: 4 + persistent_workers: true + pin_memory: true + shuffle: true + action_balance: + enabled: false + strategy: balanced_epoch + action_key: action_id + target_flap_fraction: 0.3 + noop_id: 0 + flap_id: 1 + latency_curriculum: + enabled: false + strategy: exclusive + latencies: null + phase_steps: null + phase_distributions: null + new_latency_passes: 1.0 + replay_passes: 0.25 + target_total_passes: 2.0 + final_equalization: true + step_budget_mode: auto + eval_at_phase_end: false + save_at_phase_end: false + computed_plan: null + per_device_batch_size: 64 + load_all_data_for_training: true + num_obs_frames: 1 + image_mode: single + prompt_mode: raw + stitch_grid: + - 2 + - 2 + obs_image_size: null + video_backend: torchvision_av +dataset: + source_hf: '' + config_name: null + source_subdir: null + converted_name: deadly_corridor_train + single_source_hf: '' + mixed_source_hf: '' + single_converted_name: deadly_corridor_train + mixed_converted_name: deadly_corridor_mixed_latency_train + single_latency_filter: null + mixed_latency_filter: null + force_download: false + setup_force: false + skip_verification: false + target_latency_unit: observation_steps + verify_rows: 200 + max_episodes: null + episodes_per_latency: null + latency_filter: null + debug_subset: + enabled: false + max_episodes: 5 + suffix: debug +base_model: + repo_id: Qwen/Qwen3-VL-4B-Instruct +initialization: + checkpoint_local_dir: null + checkpoint_hf_repo_id: null + checkpoint_filename: null +trainer: + max_train_steps: 5000 + num_warmup_steps: 100 + save_interval: 500 + eval_interval: 500 + eval_num_batches: 50 + per_latency_eval_num_batches: null + eval_action_classification: false + eval_action_classification_interval: null + cc_f1_tolerance: 1 + learning_rate: + base: 3.0e-05 + qwen_vl_interface: 3.0e-06 + action_model: 0.0001 + lr_scheduler_type: cosine_with_min_lr + scheduler_specific_kwargs: + min_lr_rate: 0.03333333333333333 + freeze_modules: '' + freeze_vit: false + freeze_tied_embedding: false + freeze_llm_layers: [] + loss_scale: + vla: 1.0 + vlm: 0.0 + max_grad_norm: 1.0 + weight_decay: 0.0 + logging_frequency: 1 + profile_timing: + enabled: false + log_interval: 10 + gradient_clipping: 1.0 + gradient_accumulation_steps: 1 + distributed_backend: deepspeed + is_resume: true + pretrained_checkpoint: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/deadly_corridor-qwenoft-hist8-scratch-s42-v2/checkpoints/steps_1890_state + resume_step: 1890 + reload_modules: null + optimizer: + name: AdamW + betas: + - 0.9 + - 0.95 + eps: 1.0e-08 + weight_decay: 1.0e-08 + fused: true + save_format: pt + hist8_diagnostics: + steps: + - 0 + - 500 + - 1000 + - 2500 + - 5000 + sample_count: 2048 + noise_seeds: + - 1729 + sample_seed: 42 + batch_size: 8 + bootstrap_repeats: 4000 +workspace_dir: WORKSPACE_DIR +run_root_dir: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train +seed: 42 +wandb_entity: saberrr-zju +wandb_project: starvla_tasks +auth: + env_file: null + hf_token_env: HF_TOKEN + wandb_api_key_env: WANDB_API_KEY +paths: + run_root_dir: results/Checkpoints + dataset_local_dir: playground/Datasets/rl_games + dataset_cache_dir: null + base_model_dir: /home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17 + accelerate_config: starVLA/config/deepseeds/deepspeed_zero2.yaml +launch: + use_accelerate: true + gpus: null + num_processes: 1 + dry_run: false +conda: + enabled: true + env_name: null +rl_games: + model_alias: openvla + env_eval: + image_size: 224 + frameskip: 4 + image_transform: raw_rgb + prompt_mode: raw + ghost_trail: + history_frames: 5 + gamma: 1.3 + min_alpha: 35 + scroll_px_per_step: 4.0 + ground_fraction: 0.22 + seed: 42 + fixed_episode_seeds: true + latency_seed_stride: 0 + task_seed_stride: 0 + task_description: You are playing Deadly Corridor in VizDoom. Choose actions from + MOVE_FORWARD, MOVE_BACKWARD, MOVE_LEFT, MOVE_RIGHT, TURN_LEFT, TURN_RIGHT, ATTACK. + eval_parallel_envs: 5 + action_chunk_execution: + enabled: false + chunk_size: null + deadly: + action_layout: multibinary_7 + multibinary_threshold: null + enabled: false + eval_backend: latency_bench + distributed_mode: none + vectorized: + enabled: false + batch_size: 1 + latency: + prompt_map_path: null + mode: single + values: + - 0 + mid_train: + enabled: false + interval_steps: 100 + latencies: + - 0 + num_episodes: 5 + max_steps_per_episode: 3600 + post_train: + enabled: false + latencies: + - 0 + - 1 + - 2 + - 3 + - 4 + num_episodes: 5 + max_steps_per_episode: 3600 + task: deadly_corridor + deadly_corridor_loss_type: null + initialization_mode: scratch + action_carrier: native +model: openvla +env: deadly_corridor +init: scratch +mode: single +checkpoint: + load: none + hf_repo_id: null + save_best_model: false + save_final_model: true + save_pt_file: true + save_training_state: true + save_safetensors_file: false + local: + keep_last_n: 2 + sync: + enabled: false + repo_id: null + keep_last_n: 0 + sync_every_n_checkpoints: 1 + resume_policy: local_latest +run_id: deadly_corridor-qwenoft-hist8-scratch-s42-v2 +output_dir: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/deadly_corridor-qwenoft-hist8-scratch-s42-v2 +config_yaml: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/deadly_corridor-qwenoft-hist8-scratch-s42-v2/train.yaml +is_debug: false +version_id: '0.21' +wandb_name: deadly_corridor-qwenoft-hist8-scratch-s42-v2 +wandb_group: decision-history-vla-h8-v2 +wandb_tags: +- deadly_corridor +- qwenoft +- hist8-v2 +- history01 +- scratch +- profile-latency +training_latency_condition: profile-latency diff --git a/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/config.yaml 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b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..805430e3f4773751c25309d1c26ed38795ec0141 --- /dev/null +++ b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml @@ -0,0 +1,166 @@ +experiment: + name: deadly_corridor-qwenoft-hist8-scratch-s42-v2-step5000-history01-profile-par32 + seed: 1000000 +backend: + type: sample_factory + algo: APPO + device: cpu + train_dir: results/sample_factory + restart_behavior: resume + run_mode: eval +executor: + mode: simulated + simulated_worker_capacity: 1 + simulated_inference_pool: true + inference_devices: + - cuda:0 + - cuda:1 + inference_batch_size: 16 +env: + name: deadly_corridor + env_id: doom_deadly_corridor + env_fps: 35 + obs_fps: 8.75 + noop_action: + - 0 + - 0 + - 0 + - 0 + frame_stack: 1 + res_w: 128 + res_h: 72 + wide_aspect_ratio: false + simulator: cpu + obs_resize: + - 224 + - 224 + action_map: + noop: + - 0 + - 0 + - 0 + - 0 + move_forward: + - 0 + - 1 + - 0 + - 0 + move_backward: + - 0 + - 2 + - 0 + - 0 + move_left: + - 0 + - 0 + - 1 + - 0 + move_right: + - 0 + - 0 + - 2 + - 0 + turn_left: + - 1 + - 0 + - 0 + - 0 + turn_right: + - 2 + - 0 + - 0 + - 0 + attack: + - 0 + - 0 + - 0 + - 1 + action_history_decisions: 8 + screen_resolution: RES_160X120 + render_hud: true + render_crosshair: false + render_weapon: true + render_decals: false + render_particles: false +latency: + method: temporal + profile_path: /mnt/ssd/codex/hist8-vla-20260923/results/profiling/profiles/openvla/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json + profile_worker_slot: 0 + seed: 271828 + add_latency_info: false +scheduler: + hold_policy: hold + ordering_policy: latest_ready +policy: + type: starvla + actions: + - MOVE_FORWARD + - MOVE_BACKWARD + - MOVE_LEFT + - MOVE_RIGHT + - TURN_LEFT + - TURN_RIGHT + - ATTACK + checkpoint_path: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenoft-hist8-scratch-s42-v2/checkpoints/model.pt + model_config_path: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenoft-hist8-scratch-s42-v2/config.yaml + device: cuda:0 + unnorm_key: new_embodiment + prompt_mode: latency_neutral + action_layout: multibinary_7 + backbone_path: /mnt/ssd/codex/hist8-vla-20260923/backbone/Qwen3-VL-4B-Instruct + worker_python_executable: /mnt/ssd/miniconda3/envs/starvla_rl_games_openvla/bin/python3.10 + state_source: transport +training: + train_for_env_steps: 25000000 + num_workers: 32 + num_envs_per_worker: 4 + worker_num_splits: 2 + num_policies: 1 + batch_size: 1024 + rollout: 128 + recurrence: 128 + num_epochs: 2 + num_batches_per_epoch: 2 + learning_rate: 0.0001 + gamma: 0.99 + gae_lambda: 0.95 + ppo_clip_ratio: 0.1 + ppo_clip_value: 0.2 + exploration_loss: symmetric_kl + exploration_loss_coeff: 0.001 + value_loss_coeff: 0.5 + max_grad_norm: 4.0 + async_rl: true + use_rnn: true + rnn_type: gru + rnn_size: 512 + normalize_input: true + normalize_returns: true + stats_avg: 100 + experiment_summaries_interval: 1 + save_every_sec: 600 + keep_checkpoints: 5 +evaluation: + eval_interval_steps: 1000000 + eval_episodes: 100 + eval_parallel_envs: 32 + eval_max_steps: 3600 + eval_deterministic: true + eval_raw_reward: true + eval_suites: + fixed: [] + normal: [] + uniform: [] + eval_latency_values: null +logging: + output_dir: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwenoft-hist8-scratch-s42-v2-to-profile-par32-sf-render-v4 + video: + enabled: false + num_bins: 10 + save_step_records: true + save_action_records: true + save_latency_records: true + wandb_project: null + wandb_group: null + wandb_job_type: null + wandb_tags: '' diff --git a/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/evaluations/profile/provenance.json b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/evaluations/profile/provenance.json new file mode 100644 index 0000000000000000000000000000000000000000..231669dbb4ca2f76c62599d6b50b6a9257f96cd9 --- /dev/null +++ b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/evaluations/profile/provenance.json @@ -0,0 +1,35 @@ +{ + "collection": { + "teacher_repo": "latency-sensitive-bench/benchmark-models", + "teacher_revision": "af125bd372c22c5b00e326d9af1af64ea3751b56", + "teacher_path": "latency-aware/deadly-corridor/small-policy/sample-factory-qwenoft-rtx3090-temporal-hist8-capacity1-native35-s42-v1", + "teacher_checkpoint": "best_000044776_22925312_reward_2084.409.pth", + "teacher_sha256": "62eee5b587bde20cc912fde9c068d92498a6433b62dec28f8e994004fb8e7e18", + "profile_path": "/home/ubuntu/codex/hist8-vla-20260923/results/profiling/profiles/openvla/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json", + "profile_sha256": "bbfb93cef9f63750a9a159ec10a93a9fc6c25e4cb0cac3b39532663b4dc11eba", + "episodes": 8500, + "filter_preset": "none", + "history": "decision_v1" + }, + "training_run_id": "deadly_corridor-qwenoft-hist8-scratch-s42-v2", + "training_step": 5000, + "global_batch": 128, + "base_model": "Qwen/Qwen3-VL-4B-Instruct", + "wandb_run_id": "1ade216c", + "checkpoint_sha256": "29e42431b2fb4e83e74f21c0e7e108d43ebbeb91ab7c34da06c33cb0652fb56c", + "eval_protocol_version": "hist8-history01-sf-render-v4", + "history_encoding": "binary_0_1", + "episodes": 100, + "env_condition": "profile", + "parallel_envs": 32, + "max_episode_raw_frames": 3600, + "inference_devices": [ + "cuda:0", + "cuda:1" + ], + "episode_seeds": [ + 1000000, + 1000099 + ], + "profile_sha256": "bbfb93cef9f63750a9a159ec10a93a9fc6c25e4cb0cac3b39532663b4dc11eba" +} diff --git a/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/evaluations/profile/resolved_config.yaml b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/evaluations/profile/resolved_config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0568759d5a6b96fd61476b28e61ceaadc04c8160 --- /dev/null +++ b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/evaluations/profile/resolved_config.yaml @@ -0,0 +1,169 @@ +experiment: + name: deadly_corridor-qwenoft-hist8-scratch-s42-v2-step5000-history01-profile-par32 + seed: 1000000 +backend: + type: sample_factory + algo: APPO + device: cpu + train_dir: results/sample_factory + restart_behavior: resume + run_mode: eval +executor: + mode: simulated + simulated_worker_capacity: 1 + simulated_inference_pool: true + inference_devices: + - cuda:0 + - cuda:1 + inference_batch_size: 16 +env: + name: deadly_corridor + env_id: doom_deadly_corridor + env_fps: 35 + obs_fps: 8.75 + noop_action: + - 0 + - 0 + - 0 + - 0 + frame_stack: 1 + res_w: 128 + res_h: 72 + wide_aspect_ratio: false + simulator: cpu + obs_resize: + - 224 + - 224 + action_map: + noop: + - 0 + - 0 + - 0 + - 0 + move_forward: + - 0 + - 1 + - 0 + - 0 + move_backward: + - 0 + - 2 + - 0 + - 0 + move_left: + - 0 + - 0 + - 1 + - 0 + move_right: + - 0 + - 0 + - 2 + - 0 + turn_left: + - 1 + - 0 + - 0 + - 0 + turn_right: + - 2 + - 0 + - 0 + - 0 + attack: + - 0 + - 0 + - 0 + - 1 + action_history_decisions: 8 + screen_resolution: RES_160X120 + render_hud: true + render_crosshair: false + render_weapon: true + render_decals: false + render_particles: false +latency: + method: temporal + profile_path: /mnt/ssd/codex/hist8-vla-20260923/results/profiling/profiles/openvla/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json + profile_worker_slot: 0 + seed: 271828 + add_latency_info: false +scheduler: + hold_policy: hold + ordering_policy: latest_ready +policy: + type: starvla + actions: + - MOVE_FORWARD + - MOVE_BACKWARD + - MOVE_LEFT + - MOVE_RIGHT + - TURN_LEFT + - TURN_RIGHT + - ATTACK + checkpoint_path: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenoft-hist8-scratch-s42-v2/checkpoints/model.pt + model_config_path: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenoft-hist8-scratch-s42-v2/config.yaml + device: cuda:0 + unnorm_key: new_embodiment + prompt_mode: latency_neutral + action_layout: multibinary_7 + backbone_path: /mnt/ssd/codex/hist8-vla-20260923/backbone/Qwen3-VL-4B-Instruct + worker_python_executable: /mnt/ssd/miniconda3/envs/starvla_rl_games_openvla/bin/python3.10 + state_source: transport + action_prefix: + mode: none +training: + train_for_env_steps: 25000000 + num_workers: 32 + num_envs_per_worker: 4 + worker_num_splits: 2 + num_policies: 1 + batch_size: 1024 + rollout: 128 + recurrence: 128 + num_epochs: 2 + num_batches_per_epoch: 2 + learning_rate: 0.0001 + gamma: 0.99 + gae_lambda: 0.95 + ppo_clip_ratio: 0.1 + ppo_clip_value: 0.2 + exploration_loss: symmetric_kl + exploration_loss_coeff: 0.001 + value_loss_coeff: 0.5 + max_grad_norm: 4.0 + async_rl: true + use_rnn: true + rnn_type: gru + rnn_size: 512 + normalize_input: true + normalize_returns: true + stats_avg: 100 + experiment_summaries_interval: 1 + save_every_sec: 600 + keep_checkpoints: 5 +evaluation: + eval_interval_steps: 1000000 + eval_episodes: 100 + eval_parallel_envs: 32 + eval_max_steps: 3600 + eval_deterministic: true + eval_raw_reward: true + eval_suites: + fixed: [] + normal: [] + uniform: [] + eval_latency_values: null +logging: + output_dir: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwenoft-hist8-scratch-s42-v2-to-profile-par32-sf-render-v4 + video: + enabled: false + num_bins: 10 + 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Your goal is to survive the corridor, fight enemies, and reach the green armor vest at the far end. The available actions are: MOVE_FORWARD, MOVE_BACKWARD, MOVE_LEFT, MOVE_RIGHT, TURN_LEFT, TURN_RIGHT, and ATTACK. Choose the best next action from the current visual observation." + ], + "env_fps": 35, + "obs_fps": 8.75, + "evaluation": { + "episodes": 100, + "seeds": [ + 1000000, + 1000099 + ], + "parallel_envs": 32, + "capacity": 1, + "max_raw_frames": 3600, + "protocol_version": "hist8-history01-sf-render-v4" + }, + "rendering": { + "screen_resolution": "RES_160X120", + "render_hud": true, + "render_crosshair": false, + "render_weapon": true, + "render_decals": false, + "render_particles": false + } +} diff --git a/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/training_code_snapshot.json b/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/training_code_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..eab3bf8a42f910ddf96a63b6e21df92f2c5d15b5 --- /dev/null +++ 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