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b/evaluations/deadly-corridor/deadly_corridor-qwenoft-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..754a61fe554de7d16cd85d340b2594df355f1777 --- /dev/null +++ b/evaluations/deadly-corridor/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: profiles/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: checkpoints/model.pt + model_config_path: config.yaml + device: cuda:0 + unnorm_key: new_embodiment + prompt_mode: latency_neutral + action_layout: multibinary_7 + backbone_path: BACKBONE_SNAPSHOT + worker_python_executable: python + 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: replay_outputs/profile + 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/evaluations/deadly-corridor/deadly_corridor-qwenoft-hist8-scratch-s42-v2/evaluations/profile/provenance.json b/evaluations/deadly-corridor/deadly_corridor-qwenoft-hist8-scratch-s42-v2/evaluations/profile/provenance.json new file mode 100644 index 0000000000000000000000000000000000000000..20096d6554429187bbf2be29c1ba74e8a46d1bd3 --- /dev/null +++ b/evaluations/deadly-corridor/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": 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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: profiles/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: checkpoints/model.pt + model_config_path: config.yaml + device: cuda:0 + unnorm_key: new_embodiment + prompt_mode: latency_neutral + action_layout: multibinary_7 + backbone_path: BACKBONE_SNAPSHOT + worker_python_executable: python + 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 + 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observation_mode: image + use_lidar: false + normalize_obs: true + audio_on: false + frame_stack: 1 + obs_resize: + - 224 + - 224 + simulator: gpu + use_gpu_render: false + gpu_render_device: auto + gpu_render_profile: false + gpu_render_profile_interval: 200 + noop_action: noop + action_map: + noop: 0 + flap: 1 + oneshot_actions: + - flap + action_history_decisions: 8 +latency: + method: temporal + profile_path: profiles/profile.json + profile_worker_slot: 0 + seed: 271828 + add_latency_info: false +scheduler: + hold_policy: one_frame_then_noop + ordering_policy: latest_ready +policy: + type: starvla + checkpoint_path: checkpoints/model.pt + model_config_path: config.yaml + device: cuda:0 + unnorm_key: new_embodiment + prompt_mode: latency_neutral + actions: + - noop + - flap + backbone_path: BACKBONE_SNAPSHOT + worker_python_executable: python + state_source: transport +evaluation: + eval_episodes: 100 + eval_parallel_envs: 32 + latency_bench_env_backend: flappy_gpu_batched + eval_latency_values: null + eval_max_steps: 3600 + eval_deterministic: true + eval_raw_reward: true +logging: + output_dir: replay_outputs/profile + save_step_records: true + save_action_records: true + save_latency_records: true + video: + enabled: false diff --git a/evaluations/flappy/flappy-qwenoft-hist8-scratch-s42-v2/evaluations/profile/provenance.json b/evaluations/flappy/flappy-qwenoft-hist8-scratch-s42-v2/evaluations/profile/provenance.json new file mode 100644 index 0000000000000000000000000000000000000000..19a2decadcbc158e4dbcc220daf673f447084523 --- /dev/null +++ b/evaluations/flappy/flappy-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/flappy/small-policy/sample-factory-qwenoft-rtx3090-temporal-hist8-capacity1-s42-v1", + "teacher_checkpoint": 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