| [2023-07-04 15:18:01,007][00468] Saving configuration to /content/train_dir/default_experiment/cfg.json... | |
| [2023-07-04 15:18:01,012][00468] Rollout worker 0 uses device cpu | |
| [2023-07-04 15:18:01,022][00468] Rollout worker 1 uses device cpu | |
| [2023-07-04 15:18:01,023][00468] Rollout worker 2 uses device cpu | |
| [2023-07-04 15:18:01,025][00468] Rollout worker 3 uses device cpu | |
| [2023-07-04 15:18:01,030][00468] Rollout worker 4 uses device cpu | |
| [2023-07-04 15:18:01,031][00468] Rollout worker 5 uses device cpu | |
| [2023-07-04 15:18:01,036][00468] Rollout worker 6 uses device cpu | |
| [2023-07-04 15:18:01,037][00468] Rollout worker 7 uses device cpu | |
| [2023-07-04 15:18:01,231][00468] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:18:01,237][00468] InferenceWorker_p0-w0: min num requests: 2 | |
| [2023-07-04 15:18:01,287][00468] Starting all processes... | |
| [2023-07-04 15:18:01,289][00468] Starting process learner_proc0 | |
| [2023-07-04 15:18:01,295][00468] EvtLoop [Runner_EvtLoop, process=main process 468] unhandled exception in slot='_on_start' connected to emitter=Emitter(object_id='Runner_EvtLoop', signal_name='start'), args=() | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 49, in _on_start | |
| self._start_processes() | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 56, in _start_processes | |
| p.start() | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 515, in start | |
| self._process.start() | |
| File "/usr/lib/python3.10/multiprocessing/process.py", line 121, in start | |
| self._popen = self._Popen(self) | |
| File "/usr/lib/python3.10/multiprocessing/context.py", line 288, in _Popen | |
| return Popen(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in __init__ | |
| super().__init__(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_fork.py", line 19, in __init__ | |
| self._launch(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 47, in _launch | |
| reduction.dump(process_obj, fp) | |
| File "/usr/lib/python3.10/multiprocessing/reduction.py", line 60, in dump | |
| ForkingPickler(file, protocol).dump(obj) | |
| TypeError: cannot pickle 'TLSBuffer' object | |
| [2023-07-04 15:18:01,303][00468] Unhandled exception cannot pickle 'TLSBuffer' object in evt loop Runner_EvtLoop | |
| [2023-07-04 15:18:01,304][00468] Uncaught exception in Runner evt loop | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner.py", line 770, in run | |
| evt_loop_status = self.event_loop.exec() | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 403, in exec | |
| raise exc | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 399, in exec | |
| while self._loop_iteration(): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 383, in _loop_iteration | |
| self._process_signal(s) | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 358, in _process_signal | |
| raise exc | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 49, in _on_start | |
| self._start_processes() | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 56, in _start_processes | |
| p.start() | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 515, in start | |
| self._process.start() | |
| File "/usr/lib/python3.10/multiprocessing/process.py", line 121, in start | |
| self._popen = self._Popen(self) | |
| File "/usr/lib/python3.10/multiprocessing/context.py", line 288, in _Popen | |
| return Popen(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in __init__ | |
| super().__init__(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_fork.py", line 19, in __init__ | |
| self._launch(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 47, in _launch | |
| reduction.dump(process_obj, fp) | |
| File "/usr/lib/python3.10/multiprocessing/reduction.py", line 60, in dump | |
| ForkingPickler(file, protocol).dump(obj) | |
| TypeError: cannot pickle 'TLSBuffer' object | |
| [2023-07-04 15:18:01,307][00468] Runner profile tree view: | |
| main_loop: 0.0203 | |
| [2023-07-04 15:18:01,310][00468] Collected {}, FPS: 0.0 | |
| [2023-07-04 15:18:20,039][00468] Environment doom_basic already registered, overwriting... | |
| [2023-07-04 15:18:20,041][00468] Environment doom_two_colors_easy already registered, overwriting... | |
| [2023-07-04 15:18:20,043][00468] Environment doom_two_colors_hard already registered, overwriting... | |
| [2023-07-04 15:18:20,044][00468] Environment doom_dm already registered, overwriting... | |
| [2023-07-04 15:18:20,046][00468] Environment doom_dwango5 already registered, overwriting... | |
| [2023-07-04 15:18:20,047][00468] Environment doom_my_way_home_flat_actions already registered, overwriting... | |
| [2023-07-04 15:18:20,049][00468] Environment doom_defend_the_center_flat_actions already registered, overwriting... | |
| [2023-07-04 15:18:20,050][00468] Environment doom_my_way_home already registered, overwriting... | |
| [2023-07-04 15:18:20,051][00468] Environment doom_deadly_corridor already registered, overwriting... | |
| [2023-07-04 15:18:20,052][00468] Environment doom_defend_the_center already registered, overwriting... | |
| [2023-07-04 15:18:20,053][00468] Environment doom_defend_the_line already registered, overwriting... | |
| [2023-07-04 15:18:20,054][00468] Environment doom_health_gathering already registered, overwriting... | |
| [2023-07-04 15:18:20,056][00468] Environment doom_health_gathering_supreme already registered, overwriting... | |
| [2023-07-04 15:18:20,057][00468] Environment doom_battle already registered, overwriting... | |
| [2023-07-04 15:18:20,058][00468] Environment doom_battle2 already registered, overwriting... | |
| [2023-07-04 15:18:20,059][00468] Environment doom_duel_bots already registered, overwriting... | |
| [2023-07-04 15:18:20,060][00468] Environment doom_deathmatch_bots already registered, overwriting... | |
| [2023-07-04 15:18:20,061][00468] Environment doom_duel already registered, overwriting... | |
| [2023-07-04 15:18:20,062][00468] Environment doom_deathmatch_full already registered, overwriting... | |
| [2023-07-04 15:18:20,064][00468] Environment doom_benchmark already registered, overwriting... | |
| [2023-07-04 15:18:20,065][00468] register_encoder_factory: <function make_vizdoom_encoder at 0x7f978238ce50> | |
| [2023-07-04 15:18:20,087][00468] Loading existing experiment configuration from /content/train_dir/default_experiment/cfg.json | |
| [2023-07-04 15:18:20,099][00468] Experiment dir /content/train_dir/default_experiment already exists! | |
| [2023-07-04 15:18:20,100][00468] Resuming existing experiment from /content/train_dir/default_experiment... | |
| [2023-07-04 15:18:20,101][00468] Weights and Biases integration disabled | |
| [2023-07-04 15:18:20,104][00468] Environment var CUDA_VISIBLE_DEVICES is 0 | |
| [2023-07-04 15:18:21,502][00468] Starting experiment with the following configuration: | |
| help=False | |
| algo=APPO | |
| env=doom_health_gathering_supreme | |
| experiment=default_experiment | |
| train_dir=/content/train_dir | |
| restart_behavior=resume | |
| device=gpu | |
| seed=None | |
| num_policies=1 | |
| async_rl=True | |
| serial_mode=False | |
| batched_sampling=False | |
| num_batches_to_accumulate=2 | |
| worker_num_splits=2 | |
| policy_workers_per_policy=1 | |
| max_policy_lag=1000 | |
| num_workers=8 | |
| num_envs_per_worker=4 | |
| batch_size=1024 | |
| num_batches_per_epoch=1 | |
| num_epochs=1 | |
| rollout=32 | |
| recurrence=32 | |
| shuffle_minibatches=False | |
| gamma=0.99 | |
| reward_scale=1.0 | |
| reward_clip=1000.0 | |
| value_bootstrap=False | |
| normalize_returns=True | |
| exploration_loss_coeff=0.001 | |
| value_loss_coeff=0.5 | |
| kl_loss_coeff=0.0 | |
| exploration_loss=symmetric_kl | |
| gae_lambda=0.95 | |
| ppo_clip_ratio=0.1 | |
| ppo_clip_value=0.2 | |
| with_vtrace=False | |
| vtrace_rho=1.0 | |
| vtrace_c=1.0 | |
| optimizer=adam | |
| adam_eps=1e-06 | |
| adam_beta1=0.9 | |
| adam_beta2=0.999 | |
| max_grad_norm=4.0 | |
| learning_rate=0.0001 | |
| lr_schedule=constant | |
| lr_schedule_kl_threshold=0.008 | |
| obs_subtract_mean=0.0 | |
| obs_scale=255.0 | |
| normalize_input=True | |
| normalize_input_keys=None | |
| decorrelate_experience_max_seconds=0 | |
| decorrelate_envs_on_one_worker=True | |
| actor_worker_gpus=[] | |
| set_workers_cpu_affinity=True | |
| force_envs_single_thread=False | |
| default_niceness=0 | |
| log_to_file=True | |
| experiment_summaries_interval=10 | |
| flush_summaries_interval=30 | |
| stats_avg=100 | |
| summaries_use_frameskip=True | |
| heartbeat_interval=20 | |
| heartbeat_reporting_interval=600 | |
| train_for_env_steps=4000000 | |
| train_for_seconds=10000000000 | |
| save_every_sec=120 | |
| keep_checkpoints=2 | |
| load_checkpoint_kind=latest | |
| save_milestones_sec=-1 | |
| save_best_every_sec=5 | |
| save_best_metric=reward | |
| save_best_after=100000 | |
| benchmark=False | |
| encoder_mlp_layers=[512, 512] | |
| encoder_conv_architecture=convnet_simple | |
| encoder_conv_mlp_layers=[512] | |
| use_rnn=True | |
| rnn_size=512 | |
| rnn_type=gru | |
| rnn_num_layers=1 | |
| decoder_mlp_layers=[] | |
| nonlinearity=elu | |
| policy_initialization=orthogonal | |
| policy_init_gain=1.0 | |
| actor_critic_share_weights=True | |
| adaptive_stddev=True | |
| continuous_tanh_scale=0.0 | |
| initial_stddev=1.0 | |
| use_env_info_cache=False | |
| env_gpu_actions=False | |
| env_gpu_observations=True | |
| env_frameskip=4 | |
| env_framestack=1 | |
| pixel_format=CHW | |
| use_record_episode_statistics=False | |
| with_wandb=False | |
| wandb_user=None | |
| wandb_project=sample_factory | |
| wandb_group=None | |
| wandb_job_type=SF | |
| wandb_tags=[] | |
| with_pbt=False | |
| pbt_mix_policies_in_one_env=True | |
| pbt_period_env_steps=5000000 | |
| pbt_start_mutation=20000000 | |
| pbt_replace_fraction=0.3 | |
| pbt_mutation_rate=0.15 | |
| pbt_replace_reward_gap=0.1 | |
| pbt_replace_reward_gap_absolute=1e-06 | |
| pbt_optimize_gamma=False | |
| pbt_target_objective=true_objective | |
| pbt_perturb_min=1.1 | |
| pbt_perturb_max=1.5 | |
| num_agents=-1 | |
| num_humans=0 | |
| num_bots=-1 | |
| start_bot_difficulty=None | |
| timelimit=None | |
| res_w=128 | |
| res_h=72 | |
| wide_aspect_ratio=False | |
| eval_env_frameskip=1 | |
| fps=35 | |
| command_line=--env=doom_health_gathering_supreme --num_workers=8 --num_envs_per_worker=4 --train_for_env_steps=4000000 | |
| cli_args={'env': 'doom_health_gathering_supreme', 'num_workers': 8, 'num_envs_per_worker': 4, 'train_for_env_steps': 4000000} | |
| git_hash=unknown | |
| git_repo_name=not a git repository | |
| train_script=.usr.local.lib.python3.10.dist-packages.ipykernel_launcher | |
| [2023-07-04 15:18:21,505][00468] Saving configuration to /content/train_dir/default_experiment/cfg.json... | |
| [2023-07-04 15:18:21,507][00468] Rollout worker 0 uses device cpu | |
| [2023-07-04 15:18:21,510][00468] Rollout worker 1 uses device cpu | |
| [2023-07-04 15:18:21,512][00468] Rollout worker 2 uses device cpu | |
| [2023-07-04 15:18:21,514][00468] Rollout worker 3 uses device cpu | |
| [2023-07-04 15:18:21,515][00468] Rollout worker 4 uses device cpu | |
| [2023-07-04 15:18:21,517][00468] Rollout worker 5 uses device cpu | |
| [2023-07-04 15:18:21,518][00468] Rollout worker 6 uses device cpu | |
| [2023-07-04 15:18:21,519][00468] Rollout worker 7 uses device cpu | |
| [2023-07-04 15:18:21,647][00468] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:18:21,649][00468] InferenceWorker_p0-w0: min num requests: 2 | |
| [2023-07-04 15:18:21,683][00468] Starting all processes... | |
| [2023-07-04 15:18:21,684][00468] Starting process learner_proc0 | |
| [2023-07-04 15:18:21,690][00468] EvtLoop [Runner_EvtLoop, process=main process 468] unhandled exception in slot='_on_start' connected to emitter=Emitter(object_id='Runner_EvtLoop', signal_name='start'), args=() | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 49, in _on_start | |
| self._start_processes() | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 56, in _start_processes | |
| p.start() | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 515, in start | |
| self._process.start() | |
| File "/usr/lib/python3.10/multiprocessing/process.py", line 121, in start | |
| self._popen = self._Popen(self) | |
| File "/usr/lib/python3.10/multiprocessing/context.py", line 288, in _Popen | |
| return Popen(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in __init__ | |
| super().__init__(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_fork.py", line 19, in __init__ | |
| self._launch(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 47, in _launch | |
| reduction.dump(process_obj, fp) | |
| File "/usr/lib/python3.10/multiprocessing/reduction.py", line 60, in dump | |
| ForkingPickler(file, protocol).dump(obj) | |
| TypeError: cannot pickle 'TLSBuffer' object | |
| [2023-07-04 15:18:21,692][00468] Unhandled exception cannot pickle 'TLSBuffer' object in evt loop Runner_EvtLoop | |
| [2023-07-04 15:18:21,696][00468] Uncaught exception in Runner evt loop | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner.py", line 770, in run | |
| evt_loop_status = self.event_loop.exec() | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 403, in exec | |
| raise exc | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 399, in exec | |
| while self._loop_iteration(): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 383, in _loop_iteration | |
| self._process_signal(s) | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 358, in _process_signal | |
| raise exc | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 49, in _on_start | |
| self._start_processes() | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 56, in _start_processes | |
| p.start() | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 515, in start | |
| self._process.start() | |
| File "/usr/lib/python3.10/multiprocessing/process.py", line 121, in start | |
| self._popen = self._Popen(self) | |
| File "/usr/lib/python3.10/multiprocessing/context.py", line 288, in _Popen | |
| return Popen(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in __init__ | |
| super().__init__(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_fork.py", line 19, in __init__ | |
| self._launch(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 47, in _launch | |
| reduction.dump(process_obj, fp) | |
| File "/usr/lib/python3.10/multiprocessing/reduction.py", line 60, in dump | |
| ForkingPickler(file, protocol).dump(obj) | |
| TypeError: cannot pickle 'TLSBuffer' object | |
| [2023-07-04 15:18:21,698][00468] Runner profile tree view: | |
| main_loop: 0.0147 | |
| [2023-07-04 15:18:21,699][00468] Collected {}, FPS: 0.0 | |
| [2023-07-04 15:18:34,241][00468] Environment doom_basic already registered, overwriting... | |
| [2023-07-04 15:18:34,244][00468] Environment doom_two_colors_easy already registered, overwriting... | |
| [2023-07-04 15:18:34,245][00468] Environment doom_two_colors_hard already registered, overwriting... | |
| [2023-07-04 15:18:34,251][00468] Environment doom_dm already registered, overwriting... | |
| [2023-07-04 15:18:34,252][00468] Environment doom_dwango5 already registered, overwriting... | |
| [2023-07-04 15:18:34,253][00468] Environment doom_my_way_home_flat_actions already registered, overwriting... | |
| [2023-07-04 15:18:34,255][00468] Environment doom_defend_the_center_flat_actions already registered, overwriting... | |
| [2023-07-04 15:18:34,258][00468] Environment doom_my_way_home already registered, overwriting... | |
| [2023-07-04 15:18:34,259][00468] Environment doom_deadly_corridor already registered, overwriting... | |
| [2023-07-04 15:18:34,260][00468] Environment doom_defend_the_center already registered, overwriting... | |
| [2023-07-04 15:18:34,261][00468] Environment doom_defend_the_line already registered, overwriting... | |
| [2023-07-04 15:18:34,263][00468] Environment doom_health_gathering already registered, overwriting... | |
| [2023-07-04 15:18:34,264][00468] Environment doom_health_gathering_supreme already registered, overwriting... | |
| [2023-07-04 15:18:34,265][00468] Environment doom_battle already registered, overwriting... | |
| [2023-07-04 15:18:34,266][00468] Environment doom_battle2 already registered, overwriting... | |
| [2023-07-04 15:18:34,267][00468] Environment doom_duel_bots already registered, overwriting... | |
| [2023-07-04 15:18:34,268][00468] Environment doom_deathmatch_bots already registered, overwriting... | |
| [2023-07-04 15:18:34,270][00468] Environment doom_duel already registered, overwriting... | |
| [2023-07-04 15:18:34,271][00468] Environment doom_deathmatch_full already registered, overwriting... | |
| [2023-07-04 15:18:34,272][00468] Environment doom_benchmark already registered, overwriting... | |
| [2023-07-04 15:18:34,273][00468] register_encoder_factory: <function make_vizdoom_encoder at 0x7f978238ce50> | |
| [2023-07-04 15:18:34,300][00468] Loading existing experiment configuration from /content/train_dir/default_experiment/cfg.json | |
| [2023-07-04 15:18:34,305][00468] Experiment dir /content/train_dir/default_experiment already exists! | |
| [2023-07-04 15:18:34,309][00468] Resuming existing experiment from /content/train_dir/default_experiment... | |
| [2023-07-04 15:18:34,310][00468] Weights and Biases integration disabled | |
| [2023-07-04 15:18:34,313][00468] Environment var CUDA_VISIBLE_DEVICES is 0 | |
| [2023-07-04 15:18:35,720][00468] Starting experiment with the following configuration: | |
| help=False | |
| algo=APPO | |
| env=doom_health_gathering_supreme | |
| experiment=default_experiment | |
| train_dir=/content/train_dir | |
| restart_behavior=resume | |
| device=gpu | |
| seed=None | |
| num_policies=1 | |
| async_rl=True | |
| serial_mode=False | |
| batched_sampling=False | |
| num_batches_to_accumulate=2 | |
| worker_num_splits=2 | |
| policy_workers_per_policy=1 | |
| max_policy_lag=1000 | |
| num_workers=8 | |
| num_envs_per_worker=4 | |
| batch_size=1024 | |
| num_batches_per_epoch=1 | |
| num_epochs=1 | |
| rollout=32 | |
| recurrence=32 | |
| shuffle_minibatches=False | |
| gamma=0.99 | |
| reward_scale=1.0 | |
| reward_clip=1000.0 | |
| value_bootstrap=False | |
| normalize_returns=True | |
| exploration_loss_coeff=0.001 | |
| value_loss_coeff=0.5 | |
| kl_loss_coeff=0.0 | |
| exploration_loss=symmetric_kl | |
| gae_lambda=0.95 | |
| ppo_clip_ratio=0.1 | |
| ppo_clip_value=0.2 | |
| with_vtrace=False | |
| vtrace_rho=1.0 | |
| vtrace_c=1.0 | |
| optimizer=adam | |
| adam_eps=1e-06 | |
| adam_beta1=0.9 | |
| adam_beta2=0.999 | |
| max_grad_norm=4.0 | |
| learning_rate=0.0001 | |
| lr_schedule=constant | |
| lr_schedule_kl_threshold=0.008 | |
| obs_subtract_mean=0.0 | |
| obs_scale=255.0 | |
| normalize_input=True | |
| normalize_input_keys=None | |
| decorrelate_experience_max_seconds=0 | |
| decorrelate_envs_on_one_worker=True | |
| actor_worker_gpus=[] | |
| set_workers_cpu_affinity=True | |
| force_envs_single_thread=False | |
| default_niceness=0 | |
| log_to_file=True | |
| experiment_summaries_interval=10 | |
| flush_summaries_interval=30 | |
| stats_avg=100 | |
| summaries_use_frameskip=True | |
| heartbeat_interval=20 | |
| heartbeat_reporting_interval=600 | |
| train_for_env_steps=4000000 | |
| train_for_seconds=10000000000 | |
| save_every_sec=120 | |
| keep_checkpoints=2 | |
| load_checkpoint_kind=latest | |
| save_milestones_sec=-1 | |
| save_best_every_sec=5 | |
| save_best_metric=reward | |
| save_best_after=100000 | |
| benchmark=False | |
| encoder_mlp_layers=[512, 512] | |
| encoder_conv_architecture=convnet_simple | |
| encoder_conv_mlp_layers=[512] | |
| use_rnn=True | |
| rnn_size=512 | |
| rnn_type=gru | |
| rnn_num_layers=1 | |
| decoder_mlp_layers=[] | |
| nonlinearity=elu | |
| policy_initialization=orthogonal | |
| policy_init_gain=1.0 | |
| actor_critic_share_weights=True | |
| adaptive_stddev=True | |
| continuous_tanh_scale=0.0 | |
| initial_stddev=1.0 | |
| use_env_info_cache=False | |
| env_gpu_actions=False | |
| env_gpu_observations=True | |
| env_frameskip=4 | |
| env_framestack=1 | |
| pixel_format=CHW | |
| use_record_episode_statistics=False | |
| with_wandb=False | |
| wandb_user=None | |
| wandb_project=sample_factory | |
| wandb_group=None | |
| wandb_job_type=SF | |
| wandb_tags=[] | |
| with_pbt=False | |
| pbt_mix_policies_in_one_env=True | |
| pbt_period_env_steps=5000000 | |
| pbt_start_mutation=20000000 | |
| pbt_replace_fraction=0.3 | |
| pbt_mutation_rate=0.15 | |
| pbt_replace_reward_gap=0.1 | |
| pbt_replace_reward_gap_absolute=1e-06 | |
| pbt_optimize_gamma=False | |
| pbt_target_objective=true_objective | |
| pbt_perturb_min=1.1 | |
| pbt_perturb_max=1.5 | |
| num_agents=-1 | |
| num_humans=0 | |
| num_bots=-1 | |
| start_bot_difficulty=None | |
| timelimit=None | |
| res_w=128 | |
| res_h=72 | |
| wide_aspect_ratio=False | |
| eval_env_frameskip=1 | |
| fps=35 | |
| command_line=--env=doom_health_gathering_supreme --num_workers=8 --num_envs_per_worker=4 --train_for_env_steps=4000000 | |
| cli_args={'env': 'doom_health_gathering_supreme', 'num_workers': 8, 'num_envs_per_worker': 4, 'train_for_env_steps': 4000000} | |
| git_hash=unknown | |
| git_repo_name=not a git repository | |
| train_script=.usr.local.lib.python3.10.dist-packages.ipykernel_launcher | |
| [2023-07-04 15:18:35,721][00468] Saving configuration to /content/train_dir/default_experiment/cfg.json... | |
| [2023-07-04 15:18:35,728][00468] Rollout worker 0 uses device cpu | |
| [2023-07-04 15:18:35,729][00468] Rollout worker 1 uses device cpu | |
| [2023-07-04 15:18:35,731][00468] Rollout worker 2 uses device cpu | |
| [2023-07-04 15:18:35,732][00468] Rollout worker 3 uses device cpu | |
| [2023-07-04 15:18:35,734][00468] Rollout worker 4 uses device cpu | |
| [2023-07-04 15:18:35,736][00468] Rollout worker 5 uses device cpu | |
| [2023-07-04 15:18:35,737][00468] Rollout worker 6 uses device cpu | |
| [2023-07-04 15:18:35,739][00468] Rollout worker 7 uses device cpu | |
| [2023-07-04 15:18:35,866][00468] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:18:35,868][00468] InferenceWorker_p0-w0: min num requests: 2 | |
| [2023-07-04 15:18:35,898][00468] Starting all processes... | |
| [2023-07-04 15:18:35,901][00468] Starting process learner_proc0 | |
| [2023-07-04 15:18:35,905][00468] EvtLoop [Runner_EvtLoop, process=main process 468] unhandled exception in slot='_on_start' connected to emitter=Emitter(object_id='Runner_EvtLoop', signal_name='start'), args=() | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 49, in _on_start | |
| self._start_processes() | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 56, in _start_processes | |
| p.start() | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 515, in start | |
| self._process.start() | |
| File "/usr/lib/python3.10/multiprocessing/process.py", line 121, in start | |
| self._popen = self._Popen(self) | |
| File "/usr/lib/python3.10/multiprocessing/context.py", line 288, in _Popen | |
| return Popen(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in __init__ | |
| super().__init__(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_fork.py", line 19, in __init__ | |
| self._launch(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 47, in _launch | |
| reduction.dump(process_obj, fp) | |
| File "/usr/lib/python3.10/multiprocessing/reduction.py", line 60, in dump | |
| ForkingPickler(file, protocol).dump(obj) | |
| TypeError: cannot pickle 'TLSBuffer' object | |
| [2023-07-04 15:18:35,907][00468] Unhandled exception cannot pickle 'TLSBuffer' object in evt loop Runner_EvtLoop | |
| [2023-07-04 15:18:35,910][00468] Uncaught exception in Runner evt loop | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner.py", line 770, in run | |
| evt_loop_status = self.event_loop.exec() | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 403, in exec | |
| raise exc | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 399, in exec | |
| while self._loop_iteration(): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 383, in _loop_iteration | |
| self._process_signal(s) | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 358, in _process_signal | |
| raise exc | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 49, in _on_start | |
| self._start_processes() | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 56, in _start_processes | |
| p.start() | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 515, in start | |
| self._process.start() | |
| File "/usr/lib/python3.10/multiprocessing/process.py", line 121, in start | |
| self._popen = self._Popen(self) | |
| File "/usr/lib/python3.10/multiprocessing/context.py", line 288, in _Popen | |
| return Popen(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in __init__ | |
| super().__init__(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_fork.py", line 19, in __init__ | |
| self._launch(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 47, in _launch | |
| reduction.dump(process_obj, fp) | |
| File "/usr/lib/python3.10/multiprocessing/reduction.py", line 60, in dump | |
| ForkingPickler(file, protocol).dump(obj) | |
| TypeError: cannot pickle 'TLSBuffer' object | |
| [2023-07-04 15:18:35,915][00468] Runner profile tree view: | |
| main_loop: 0.0170 | |
| [2023-07-04 15:18:35,916][00468] Collected {}, FPS: 0.0 | |
| [2023-07-04 15:18:39,760][00468] Environment doom_basic already registered, overwriting... | |
| [2023-07-04 15:18:39,763][00468] Environment doom_two_colors_easy already registered, overwriting... | |
| [2023-07-04 15:18:39,765][00468] Environment doom_two_colors_hard already registered, overwriting... | |
| [2023-07-04 15:18:39,769][00468] Environment doom_dm already registered, overwriting... | |
| [2023-07-04 15:18:39,770][00468] Environment doom_dwango5 already registered, overwriting... | |
| [2023-07-04 15:18:39,772][00468] Environment doom_my_way_home_flat_actions already registered, overwriting... | |
| [2023-07-04 15:18:39,773][00468] Environment doom_defend_the_center_flat_actions already registered, overwriting... | |
| [2023-07-04 15:18:39,774][00468] Environment doom_my_way_home already registered, overwriting... | |
| [2023-07-04 15:18:39,775][00468] Environment doom_deadly_corridor already registered, overwriting... | |
| [2023-07-04 15:18:39,776][00468] Environment doom_defend_the_center already registered, overwriting... | |
| [2023-07-04 15:18:39,778][00468] Environment doom_defend_the_line already registered, overwriting... | |
| [2023-07-04 15:18:39,778][00468] Environment doom_health_gathering already registered, overwriting... | |
| [2023-07-04 15:18:39,779][00468] Environment doom_health_gathering_supreme already registered, overwriting... | |
| [2023-07-04 15:18:39,780][00468] Environment doom_battle already registered, overwriting... | |
| [2023-07-04 15:18:39,781][00468] Environment doom_battle2 already registered, overwriting... | |
| [2023-07-04 15:18:39,782][00468] Environment doom_duel_bots already registered, overwriting... | |
| [2023-07-04 15:18:39,783][00468] Environment doom_deathmatch_bots already registered, overwriting... | |
| [2023-07-04 15:18:39,785][00468] Environment doom_duel already registered, overwriting... | |
| [2023-07-04 15:18:39,786][00468] Environment doom_deathmatch_full already registered, overwriting... | |
| [2023-07-04 15:18:39,787][00468] Environment doom_benchmark already registered, overwriting... | |
| [2023-07-04 15:18:39,788][00468] register_encoder_factory: <function make_vizdoom_encoder at 0x7f978238ce50> | |
| [2023-07-04 15:18:39,818][00468] Loading existing experiment configuration from /content/train_dir/default_experiment/cfg.json | |
| [2023-07-04 15:18:39,828][00468] Experiment dir /content/train_dir/default_experiment already exists! | |
| [2023-07-04 15:18:39,835][00468] Resuming existing experiment from /content/train_dir/default_experiment... | |
| [2023-07-04 15:18:39,837][00468] Weights and Biases integration disabled | |
| [2023-07-04 15:18:39,841][00468] Environment var CUDA_VISIBLE_DEVICES is 0 | |
| [2023-07-04 15:18:41,653][00468] Starting experiment with the following configuration: | |
| help=False | |
| algo=APPO | |
| env=doom_health_gathering_supreme | |
| experiment=default_experiment | |
| train_dir=/content/train_dir | |
| restart_behavior=resume | |
| device=gpu | |
| seed=None | |
| num_policies=1 | |
| async_rl=True | |
| serial_mode=False | |
| batched_sampling=False | |
| num_batches_to_accumulate=2 | |
| worker_num_splits=2 | |
| policy_workers_per_policy=1 | |
| max_policy_lag=1000 | |
| num_workers=8 | |
| num_envs_per_worker=4 | |
| batch_size=1024 | |
| num_batches_per_epoch=1 | |
| num_epochs=1 | |
| rollout=32 | |
| recurrence=32 | |
| shuffle_minibatches=False | |
| gamma=0.99 | |
| reward_scale=1.0 | |
| reward_clip=1000.0 | |
| value_bootstrap=False | |
| normalize_returns=True | |
| exploration_loss_coeff=0.001 | |
| value_loss_coeff=0.5 | |
| kl_loss_coeff=0.0 | |
| exploration_loss=symmetric_kl | |
| gae_lambda=0.95 | |
| ppo_clip_ratio=0.1 | |
| ppo_clip_value=0.2 | |
| with_vtrace=False | |
| vtrace_rho=1.0 | |
| vtrace_c=1.0 | |
| optimizer=adam | |
| adam_eps=1e-06 | |
| adam_beta1=0.9 | |
| adam_beta2=0.999 | |
| max_grad_norm=4.0 | |
| learning_rate=0.0001 | |
| lr_schedule=constant | |
| lr_schedule_kl_threshold=0.008 | |
| obs_subtract_mean=0.0 | |
| obs_scale=255.0 | |
| normalize_input=True | |
| normalize_input_keys=None | |
| decorrelate_experience_max_seconds=0 | |
| decorrelate_envs_on_one_worker=True | |
| actor_worker_gpus=[] | |
| set_workers_cpu_affinity=True | |
| force_envs_single_thread=False | |
| default_niceness=0 | |
| log_to_file=True | |
| experiment_summaries_interval=10 | |
| flush_summaries_interval=30 | |
| stats_avg=100 | |
| summaries_use_frameskip=True | |
| heartbeat_interval=20 | |
| heartbeat_reporting_interval=600 | |
| train_for_env_steps=4000000 | |
| train_for_seconds=10000000000 | |
| save_every_sec=120 | |
| keep_checkpoints=2 | |
| load_checkpoint_kind=latest | |
| save_milestones_sec=-1 | |
| save_best_every_sec=5 | |
| save_best_metric=reward | |
| save_best_after=100000 | |
| benchmark=False | |
| encoder_mlp_layers=[512, 512] | |
| encoder_conv_architecture=convnet_simple | |
| encoder_conv_mlp_layers=[512] | |
| use_rnn=True | |
| rnn_size=512 | |
| rnn_type=gru | |
| rnn_num_layers=1 | |
| decoder_mlp_layers=[] | |
| nonlinearity=elu | |
| policy_initialization=orthogonal | |
| policy_init_gain=1.0 | |
| actor_critic_share_weights=True | |
| adaptive_stddev=True | |
| continuous_tanh_scale=0.0 | |
| initial_stddev=1.0 | |
| use_env_info_cache=False | |
| env_gpu_actions=False | |
| env_gpu_observations=True | |
| env_frameskip=4 | |
| env_framestack=1 | |
| pixel_format=CHW | |
| use_record_episode_statistics=False | |
| with_wandb=False | |
| wandb_user=None | |
| wandb_project=sample_factory | |
| wandb_group=None | |
| wandb_job_type=SF | |
| wandb_tags=[] | |
| with_pbt=False | |
| pbt_mix_policies_in_one_env=True | |
| pbt_period_env_steps=5000000 | |
| pbt_start_mutation=20000000 | |
| pbt_replace_fraction=0.3 | |
| pbt_mutation_rate=0.15 | |
| pbt_replace_reward_gap=0.1 | |
| pbt_replace_reward_gap_absolute=1e-06 | |
| pbt_optimize_gamma=False | |
| pbt_target_objective=true_objective | |
| pbt_perturb_min=1.1 | |
| pbt_perturb_max=1.5 | |
| num_agents=-1 | |
| num_humans=0 | |
| num_bots=-1 | |
| start_bot_difficulty=None | |
| timelimit=None | |
| res_w=128 | |
| res_h=72 | |
| wide_aspect_ratio=False | |
| eval_env_frameskip=1 | |
| fps=35 | |
| command_line=--env=doom_health_gathering_supreme --num_workers=8 --num_envs_per_worker=4 --train_for_env_steps=4000000 | |
| cli_args={'env': 'doom_health_gathering_supreme', 'num_workers': 8, 'num_envs_per_worker': 4, 'train_for_env_steps': 4000000} | |
| git_hash=unknown | |
| git_repo_name=not a git repository | |
| train_script=.usr.local.lib.python3.10.dist-packages.ipykernel_launcher | |
| [2023-07-04 15:18:41,654][00468] Saving configuration to /content/train_dir/default_experiment/cfg.json... | |
| [2023-07-04 15:18:41,661][00468] Rollout worker 0 uses device cpu | |
| [2023-07-04 15:18:41,662][00468] Rollout worker 1 uses device cpu | |
| [2023-07-04 15:18:41,664][00468] Rollout worker 2 uses device cpu | |
| [2023-07-04 15:18:41,666][00468] Rollout worker 3 uses device cpu | |
| [2023-07-04 15:18:41,671][00468] Rollout worker 4 uses device cpu | |
| [2023-07-04 15:18:41,673][00468] Rollout worker 5 uses device cpu | |
| [2023-07-04 15:18:41,675][00468] Rollout worker 6 uses device cpu | |
| [2023-07-04 15:18:41,676][00468] Rollout worker 7 uses device cpu | |
| [2023-07-04 15:18:41,799][00468] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:18:41,801][00468] InferenceWorker_p0-w0: min num requests: 2 | |
| [2023-07-04 15:18:41,830][00468] Starting all processes... | |
| [2023-07-04 15:18:41,831][00468] Starting process learner_proc0 | |
| [2023-07-04 15:18:41,838][00468] EvtLoop [Runner_EvtLoop, process=main process 468] unhandled exception in slot='_on_start' connected to emitter=Emitter(object_id='Runner_EvtLoop', signal_name='start'), args=() | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 49, in _on_start | |
| self._start_processes() | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 56, in _start_processes | |
| p.start() | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 515, in start | |
| self._process.start() | |
| File "/usr/lib/python3.10/multiprocessing/process.py", line 121, in start | |
| self._popen = self._Popen(self) | |
| File "/usr/lib/python3.10/multiprocessing/context.py", line 288, in _Popen | |
| return Popen(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in __init__ | |
| super().__init__(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_fork.py", line 19, in __init__ | |
| self._launch(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 47, in _launch | |
| reduction.dump(process_obj, fp) | |
| File "/usr/lib/python3.10/multiprocessing/reduction.py", line 60, in dump | |
| ForkingPickler(file, protocol).dump(obj) | |
| TypeError: cannot pickle 'TLSBuffer' object | |
| [2023-07-04 15:18:41,840][00468] Unhandled exception cannot pickle 'TLSBuffer' object in evt loop Runner_EvtLoop | |
| [2023-07-04 15:18:41,842][00468] Uncaught exception in Runner evt loop | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner.py", line 770, in run | |
| evt_loop_status = self.event_loop.exec() | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 403, in exec | |
| raise exc | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 399, in exec | |
| while self._loop_iteration(): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 383, in _loop_iteration | |
| self._process_signal(s) | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 358, in _process_signal | |
| raise exc | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 49, in _on_start | |
| self._start_processes() | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 56, in _start_processes | |
| p.start() | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 515, in start | |
| self._process.start() | |
| File "/usr/lib/python3.10/multiprocessing/process.py", line 121, in start | |
| self._popen = self._Popen(self) | |
| File "/usr/lib/python3.10/multiprocessing/context.py", line 288, in _Popen | |
| return Popen(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in __init__ | |
| super().__init__(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_fork.py", line 19, in __init__ | |
| self._launch(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 47, in _launch | |
| reduction.dump(process_obj, fp) | |
| File "/usr/lib/python3.10/multiprocessing/reduction.py", line 60, in dump | |
| ForkingPickler(file, protocol).dump(obj) | |
| TypeError: cannot pickle 'TLSBuffer' object | |
| [2023-07-04 15:18:41,845][00468] Runner profile tree view: | |
| main_loop: 0.0146 | |
| [2023-07-04 15:18:41,847][00468] Collected {}, FPS: 0.0 | |
| [2023-07-04 15:19:10,892][00468] Environment doom_basic already registered, overwriting... | |
| [2023-07-04 15:19:10,905][00468] Environment doom_two_colors_easy already registered, overwriting... | |
| [2023-07-04 15:19:10,910][00468] Environment doom_two_colors_hard already registered, overwriting... | |
| [2023-07-04 15:19:10,917][00468] Environment doom_dm already registered, overwriting... | |
| [2023-07-04 15:19:10,920][00468] Environment doom_dwango5 already registered, overwriting... | |
| [2023-07-04 15:19:10,921][00468] Environment doom_my_way_home_flat_actions already registered, overwriting... | |
| [2023-07-04 15:19:10,924][00468] Environment doom_defend_the_center_flat_actions already registered, overwriting... | |
| [2023-07-04 15:19:10,927][00468] Environment doom_my_way_home already registered, overwriting... | |
| [2023-07-04 15:19:10,929][00468] Environment doom_deadly_corridor already registered, overwriting... | |
| [2023-07-04 15:19:10,932][00468] Environment doom_defend_the_center already registered, overwriting... | |
| [2023-07-04 15:19:10,935][00468] Environment doom_defend_the_line already registered, overwriting... | |
| [2023-07-04 15:19:10,944][00468] Environment doom_health_gathering already registered, overwriting... | |
| [2023-07-04 15:19:10,945][00468] Environment doom_health_gathering_supreme already registered, overwriting... | |
| [2023-07-04 15:19:10,949][00468] Environment doom_battle already registered, overwriting... | |
| [2023-07-04 15:19:10,950][00468] Environment doom_battle2 already registered, overwriting... | |
| [2023-07-04 15:19:10,957][00468] Environment doom_duel_bots already registered, overwriting... | |
| [2023-07-04 15:19:10,958][00468] Environment doom_deathmatch_bots already registered, overwriting... | |
| [2023-07-04 15:19:10,959][00468] Environment doom_duel already registered, overwriting... | |
| [2023-07-04 15:19:10,965][00468] Environment doom_deathmatch_full already registered, overwriting... | |
| [2023-07-04 15:19:10,966][00468] Environment doom_benchmark already registered, overwriting... | |
| [2023-07-04 15:19:10,968][00468] register_encoder_factory: <function make_vizdoom_encoder at 0x7f978238ce50> | |
| [2023-07-04 15:19:11,035][00468] Loading existing experiment configuration from /content/train_dir/default_experiment/cfg.json | |
| [2023-07-04 15:19:11,041][00468] Experiment dir /content/train_dir/default_experiment already exists! | |
| [2023-07-04 15:19:11,045][00468] Resuming existing experiment from /content/train_dir/default_experiment... | |
| [2023-07-04 15:19:11,050][00468] Weights and Biases integration disabled | |
| [2023-07-04 15:19:11,056][00468] Environment var CUDA_VISIBLE_DEVICES is 0 | |
| [2023-07-04 15:19:13,557][00468] Starting experiment with the following configuration: | |
| help=False | |
| algo=APPO | |
| env=doom_health_gathering_supreme | |
| experiment=default_experiment | |
| train_dir=/content/train_dir | |
| restart_behavior=resume | |
| device=gpu | |
| seed=None | |
| num_policies=1 | |
| async_rl=True | |
| serial_mode=False | |
| batched_sampling=False | |
| num_batches_to_accumulate=2 | |
| worker_num_splits=2 | |
| policy_workers_per_policy=1 | |
| max_policy_lag=1000 | |
| num_workers=8 | |
| num_envs_per_worker=4 | |
| batch_size=1024 | |
| num_batches_per_epoch=1 | |
| num_epochs=1 | |
| rollout=32 | |
| recurrence=32 | |
| shuffle_minibatches=False | |
| gamma=0.99 | |
| reward_scale=1.0 | |
| reward_clip=1000.0 | |
| value_bootstrap=False | |
| normalize_returns=True | |
| exploration_loss_coeff=0.001 | |
| value_loss_coeff=0.5 | |
| kl_loss_coeff=0.0 | |
| exploration_loss=symmetric_kl | |
| gae_lambda=0.95 | |
| ppo_clip_ratio=0.1 | |
| ppo_clip_value=0.2 | |
| with_vtrace=False | |
| vtrace_rho=1.0 | |
| vtrace_c=1.0 | |
| optimizer=adam | |
| adam_eps=1e-06 | |
| adam_beta1=0.9 | |
| adam_beta2=0.999 | |
| max_grad_norm=4.0 | |
| learning_rate=0.0001 | |
| lr_schedule=constant | |
| lr_schedule_kl_threshold=0.008 | |
| obs_subtract_mean=0.0 | |
| obs_scale=255.0 | |
| normalize_input=True | |
| normalize_input_keys=None | |
| decorrelate_experience_max_seconds=0 | |
| decorrelate_envs_on_one_worker=True | |
| actor_worker_gpus=[] | |
| set_workers_cpu_affinity=True | |
| force_envs_single_thread=False | |
| default_niceness=0 | |
| log_to_file=True | |
| experiment_summaries_interval=10 | |
| flush_summaries_interval=30 | |
| stats_avg=100 | |
| summaries_use_frameskip=True | |
| heartbeat_interval=20 | |
| heartbeat_reporting_interval=600 | |
| train_for_env_steps=4000000 | |
| train_for_seconds=10000000000 | |
| save_every_sec=120 | |
| keep_checkpoints=2 | |
| load_checkpoint_kind=latest | |
| save_milestones_sec=-1 | |
| save_best_every_sec=5 | |
| save_best_metric=reward | |
| save_best_after=100000 | |
| benchmark=False | |
| encoder_mlp_layers=[512, 512] | |
| encoder_conv_architecture=convnet_simple | |
| encoder_conv_mlp_layers=[512] | |
| use_rnn=True | |
| rnn_size=512 | |
| rnn_type=gru | |
| rnn_num_layers=1 | |
| decoder_mlp_layers=[] | |
| nonlinearity=elu | |
| policy_initialization=orthogonal | |
| policy_init_gain=1.0 | |
| actor_critic_share_weights=True | |
| adaptive_stddev=True | |
| continuous_tanh_scale=0.0 | |
| initial_stddev=1.0 | |
| use_env_info_cache=False | |
| env_gpu_actions=False | |
| env_gpu_observations=True | |
| env_frameskip=4 | |
| env_framestack=1 | |
| pixel_format=CHW | |
| use_record_episode_statistics=False | |
| with_wandb=False | |
| wandb_user=None | |
| wandb_project=sample_factory | |
| wandb_group=None | |
| wandb_job_type=SF | |
| wandb_tags=[] | |
| with_pbt=False | |
| pbt_mix_policies_in_one_env=True | |
| pbt_period_env_steps=5000000 | |
| pbt_start_mutation=20000000 | |
| pbt_replace_fraction=0.3 | |
| pbt_mutation_rate=0.15 | |
| pbt_replace_reward_gap=0.1 | |
| pbt_replace_reward_gap_absolute=1e-06 | |
| pbt_optimize_gamma=False | |
| pbt_target_objective=true_objective | |
| pbt_perturb_min=1.1 | |
| pbt_perturb_max=1.5 | |
| num_agents=-1 | |
| num_humans=0 | |
| num_bots=-1 | |
| start_bot_difficulty=None | |
| timelimit=None | |
| res_w=128 | |
| res_h=72 | |
| wide_aspect_ratio=False | |
| eval_env_frameskip=1 | |
| fps=35 | |
| command_line=--env=doom_health_gathering_supreme --num_workers=8 --num_envs_per_worker=4 --train_for_env_steps=4000000 | |
| cli_args={'env': 'doom_health_gathering_supreme', 'num_workers': 8, 'num_envs_per_worker': 4, 'train_for_env_steps': 4000000} | |
| git_hash=unknown | |
| git_repo_name=not a git repository | |
| train_script=.usr.local.lib.python3.10.dist-packages.ipykernel_launcher | |
| [2023-07-04 15:19:13,564][00468] Saving configuration to /content/train_dir/default_experiment/cfg.json... | |
| [2023-07-04 15:19:13,569][00468] Rollout worker 0 uses device cpu | |
| [2023-07-04 15:19:13,572][00468] Rollout worker 1 uses device cpu | |
| [2023-07-04 15:19:13,574][00468] Rollout worker 2 uses device cpu | |
| [2023-07-04 15:19:13,576][00468] Rollout worker 3 uses device cpu | |
| [2023-07-04 15:19:13,581][00468] Rollout worker 4 uses device cpu | |
| [2023-07-04 15:19:13,584][00468] Rollout worker 5 uses device cpu | |
| [2023-07-04 15:19:13,586][00468] Rollout worker 6 uses device cpu | |
| [2023-07-04 15:19:13,591][00468] Rollout worker 7 uses device cpu | |
| [2023-07-04 15:19:13,873][00468] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:19:13,879][00468] InferenceWorker_p0-w0: min num requests: 2 | |
| [2023-07-04 15:19:13,918][00468] Starting all processes... | |
| [2023-07-04 15:19:13,922][00468] Starting process learner_proc0 | |
| [2023-07-04 15:19:13,929][00468] EvtLoop [Runner_EvtLoop, process=main process 468] unhandled exception in slot='_on_start' connected to emitter=Emitter(object_id='Runner_EvtLoop', signal_name='start'), args=() | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 49, in _on_start | |
| self._start_processes() | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 56, in _start_processes | |
| p.start() | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 515, in start | |
| self._process.start() | |
| File "/usr/lib/python3.10/multiprocessing/process.py", line 121, in start | |
| self._popen = self._Popen(self) | |
| File "/usr/lib/python3.10/multiprocessing/context.py", line 288, in _Popen | |
| return Popen(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in __init__ | |
| super().__init__(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_fork.py", line 19, in __init__ | |
| self._launch(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 47, in _launch | |
| reduction.dump(process_obj, fp) | |
| File "/usr/lib/python3.10/multiprocessing/reduction.py", line 60, in dump | |
| ForkingPickler(file, protocol).dump(obj) | |
| TypeError: cannot pickle 'TLSBuffer' object | |
| [2023-07-04 15:19:13,933][00468] Unhandled exception cannot pickle 'TLSBuffer' object in evt loop Runner_EvtLoop | |
| [2023-07-04 15:19:13,937][00468] Uncaught exception in Runner evt loop | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner.py", line 770, in run | |
| evt_loop_status = self.event_loop.exec() | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 403, in exec | |
| raise exc | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 399, in exec | |
| while self._loop_iteration(): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 383, in _loop_iteration | |
| self._process_signal(s) | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 358, in _process_signal | |
| raise exc | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 49, in _on_start | |
| self._start_processes() | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/runners/runner_parallel.py", line 56, in _start_processes | |
| p.start() | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 515, in start | |
| self._process.start() | |
| File "/usr/lib/python3.10/multiprocessing/process.py", line 121, in start | |
| self._popen = self._Popen(self) | |
| File "/usr/lib/python3.10/multiprocessing/context.py", line 288, in _Popen | |
| return Popen(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in __init__ | |
| super().__init__(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_fork.py", line 19, in __init__ | |
| self._launch(process_obj) | |
| File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 47, in _launch | |
| reduction.dump(process_obj, fp) | |
| File "/usr/lib/python3.10/multiprocessing/reduction.py", line 60, in dump | |
| ForkingPickler(file, protocol).dump(obj) | |
| TypeError: cannot pickle 'TLSBuffer' object | |
| [2023-07-04 15:19:13,942][00468] Runner profile tree view: | |
| main_loop: 0.0244 | |
| [2023-07-04 15:19:13,947][00468] Collected {}, FPS: 0.0 | |
| [2023-07-04 15:19:44,624][11762] Saving configuration to /content/train_dir/default_experiment/cfg.json... | |
| [2023-07-04 15:19:44,628][11762] Rollout worker 0 uses device cpu | |
| [2023-07-04 15:19:44,630][11762] Rollout worker 1 uses device cpu | |
| [2023-07-04 15:19:44,635][11762] Rollout worker 2 uses device cpu | |
| [2023-07-04 15:19:44,636][11762] Rollout worker 3 uses device cpu | |
| [2023-07-04 15:19:44,637][11762] Rollout worker 4 uses device cpu | |
| [2023-07-04 15:19:44,640][11762] Rollout worker 5 uses device cpu | |
| [2023-07-04 15:19:44,644][11762] Rollout worker 6 uses device cpu | |
| [2023-07-04 15:19:44,645][11762] Rollout worker 7 uses device cpu | |
| [2023-07-04 15:19:44,773][11762] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:19:44,774][11762] InferenceWorker_p0-w0: min num requests: 2 | |
| [2023-07-04 15:19:44,811][11762] Starting all processes... | |
| [2023-07-04 15:19:44,814][11762] Starting process learner_proc0 | |
| [2023-07-04 15:19:44,861][11762] Starting all processes... | |
| [2023-07-04 15:19:44,868][11762] Starting process inference_proc0-0 | |
| [2023-07-04 15:19:44,870][11762] Starting process rollout_proc0 | |
| [2023-07-04 15:19:44,870][11762] Starting process rollout_proc1 | |
| [2023-07-04 15:19:44,870][11762] Starting process rollout_proc2 | |
| [2023-07-04 15:19:44,870][11762] Starting process rollout_proc3 | |
| [2023-07-04 15:19:44,870][11762] Starting process rollout_proc4 | |
| [2023-07-04 15:19:44,870][11762] Starting process rollout_proc5 | |
| [2023-07-04 15:19:44,870][11762] Starting process rollout_proc6 | |
| [2023-07-04 15:19:44,870][11762] Starting process rollout_proc7 | |
| [2023-07-04 15:19:55,959][11911] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:19:55,960][11911] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for learning process 0 | |
| [2023-07-04 15:19:56,006][11911] Num visible devices: 1 | |
| [2023-07-04 15:19:56,050][11911] Starting seed is not provided | |
| [2023-07-04 15:19:56,050][11911] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:19:56,050][11911] Initializing actor-critic model on device cuda:0 | |
| [2023-07-04 15:19:56,051][11911] RunningMeanStd input shape: (3, 72, 128) | |
| [2023-07-04 15:19:56,052][11911] RunningMeanStd input shape: (1,) | |
| [2023-07-04 15:19:56,189][11911] ConvEncoder: input_channels=3 | |
| [2023-07-04 15:19:57,005][11930] Worker 5 uses CPU cores [1] | |
| [2023-07-04 15:19:57,040][11929] Worker 4 uses CPU cores [0] | |
| [2023-07-04 15:19:57,054][11931] Worker 6 uses CPU cores [0] | |
| [2023-07-04 15:19:57,159][11924] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:19:57,163][11924] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for inference process 0 | |
| [2023-07-04 15:19:57,180][11927] Worker 2 uses CPU cores [0] | |
| [2023-07-04 15:19:57,205][11928] Worker 3 uses CPU cores [1] | |
| [2023-07-04 15:19:57,232][11924] Num visible devices: 1 | |
| [2023-07-04 15:19:57,246][11932] Worker 7 uses CPU cores [1] | |
| [2023-07-04 15:19:57,272][11911] Conv encoder output size: 512 | |
| [2023-07-04 15:19:57,272][11911] Policy head output size: 512 | |
| [2023-07-04 15:19:57,290][11926] Worker 1 uses CPU cores [1] | |
| [2023-07-04 15:19:57,298][11911] Created Actor Critic model with architecture: | |
| [2023-07-04 15:19:57,298][11911] ActorCriticSharedWeights( | |
| (obs_normalizer): ObservationNormalizer( | |
| (running_mean_std): RunningMeanStdDictInPlace( | |
| (running_mean_std): ModuleDict( | |
| (obs): RunningMeanStdInPlace() | |
| ) | |
| ) | |
| ) | |
| (returns_normalizer): RecursiveScriptModule(original_name=RunningMeanStdInPlace) | |
| (encoder): VizdoomEncoder( | |
| (basic_encoder): ConvEncoder( | |
| (enc): RecursiveScriptModule( | |
| original_name=ConvEncoderImpl | |
| (conv_head): RecursiveScriptModule( | |
| original_name=Sequential | |
| (0): RecursiveScriptModule(original_name=Conv2d) | |
| (1): RecursiveScriptModule(original_name=ELU) | |
| (2): RecursiveScriptModule(original_name=Conv2d) | |
| (3): RecursiveScriptModule(original_name=ELU) | |
| (4): RecursiveScriptModule(original_name=Conv2d) | |
| (5): RecursiveScriptModule(original_name=ELU) | |
| ) | |
| (mlp_layers): RecursiveScriptModule( | |
| original_name=Sequential | |
| (0): RecursiveScriptModule(original_name=Linear) | |
| (1): RecursiveScriptModule(original_name=ELU) | |
| ) | |
| ) | |
| ) | |
| ) | |
| (core): ModelCoreRNN( | |
| (core): GRU(512, 512) | |
| ) | |
| (decoder): MlpDecoder( | |
| (mlp): Identity() | |
| ) | |
| (critic_linear): Linear(in_features=512, out_features=1, bias=True) | |
| (action_parameterization): ActionParameterizationDefault( | |
| (distribution_linear): Linear(in_features=512, out_features=5, bias=True) | |
| ) | |
| ) | |
| [2023-07-04 15:19:57,431][11925] Worker 0 uses CPU cores [0] | |
| [2023-07-04 15:20:02,307][11911] Using optimizer <class 'torch.optim.adam.Adam'> | |
| [2023-07-04 15:20:02,307][11911] No checkpoints found | |
| [2023-07-04 15:20:02,308][11911] Did not load from checkpoint, starting from scratch! | |
| [2023-07-04 15:20:02,308][11911] Initialized policy 0 weights for model version 0 | |
| [2023-07-04 15:20:02,312][11911] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:20:02,332][11911] LearnerWorker_p0 finished initialization! | |
| [2023-07-04 15:20:02,522][11924] RunningMeanStd input shape: (3, 72, 128) | |
| [2023-07-04 15:20:02,523][11924] RunningMeanStd input shape: (1,) | |
| [2023-07-04 15:20:02,541][11924] ConvEncoder: input_channels=3 | |
| [2023-07-04 15:20:02,638][11924] Conv encoder output size: 512 | |
| [2023-07-04 15:20:02,638][11924] Policy head output size: 512 | |
| [2023-07-04 15:20:03,841][11762] Inference worker 0-0 is ready! | |
| [2023-07-04 15:20:03,845][11762] All inference workers are ready! Signal rollout workers to start! | |
| [2023-07-04 15:20:03,979][11926] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-07-04 15:20:04,008][11927] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-07-04 15:20:04,009][11930] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-07-04 15:20:04,011][11932] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-07-04 15:20:04,015][11928] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-07-04 15:20:04,024][11931] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-07-04 15:20:04,028][11929] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-07-04 15:20:04,057][11925] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-07-04 15:20:04,766][11762] Heartbeat connected on Batcher_0 | |
| [2023-07-04 15:20:04,772][11762] Heartbeat connected on LearnerWorker_p0 | |
| [2023-07-04 15:20:04,808][11762] Heartbeat connected on InferenceWorker_p0-w0 | |
| [2023-07-04 15:20:05,044][11930] Decorrelating experience for 0 frames... | |
| [2023-07-04 15:20:05,041][11926] Decorrelating experience for 0 frames... | |
| [2023-07-04 15:20:05,279][11925] Decorrelating experience for 0 frames... | |
| [2023-07-04 15:20:05,281][11929] Decorrelating experience for 0 frames... | |
| [2023-07-04 15:20:05,288][11927] Decorrelating experience for 0 frames... | |
| [2023-07-04 15:20:05,602][11930] Decorrelating experience for 32 frames... | |
| [2023-07-04 15:20:06,056][11929] Decorrelating experience for 32 frames... | |
| [2023-07-04 15:20:06,063][11927] Decorrelating experience for 32 frames... | |
| [2023-07-04 15:20:06,344][11932] Decorrelating experience for 0 frames... | |
| [2023-07-04 15:20:06,782][11926] Decorrelating experience for 32 frames... | |
| [2023-07-04 15:20:06,972][11930] Decorrelating experience for 64 frames... | |
| [2023-07-04 15:20:07,067][11762] Fps is (10 sec: nan, 60 sec: nan, 300 sec: nan). Total num frames: 0. Throughput: 0: nan. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0) | |
| [2023-07-04 15:20:07,798][11930] Decorrelating experience for 96 frames... | |
| [2023-07-04 15:20:08,081][11929] Decorrelating experience for 64 frames... | |
| [2023-07-04 15:20:08,083][11927] Decorrelating experience for 64 frames... | |
| [2023-07-04 15:20:08,246][11762] Heartbeat connected on RolloutWorker_w5 | |
| [2023-07-04 15:20:08,392][11931] Decorrelating experience for 0 frames... | |
| [2023-07-04 15:20:08,958][11925] Decorrelating experience for 32 frames... | |
| [2023-07-04 15:20:09,704][11926] Decorrelating experience for 64 frames... | |
| [2023-07-04 15:20:10,057][11928] Decorrelating experience for 0 frames... | |
| [2023-07-04 15:20:10,626][11929] Decorrelating experience for 96 frames... | |
| [2023-07-04 15:20:10,631][11927] Decorrelating experience for 96 frames... | |
| [2023-07-04 15:20:10,807][11931] Decorrelating experience for 32 frames... | |
| [2023-07-04 15:20:11,179][11762] Heartbeat connected on RolloutWorker_w4 | |
| [2023-07-04 15:20:11,188][11762] Heartbeat connected on RolloutWorker_w2 | |
| [2023-07-04 15:20:12,067][11762] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 3.2. Samples: 16. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0) | |
| [2023-07-04 15:20:12,337][11926] Decorrelating experience for 96 frames... | |
| [2023-07-04 15:20:12,665][11932] Decorrelating experience for 32 frames... | |
| [2023-07-04 15:20:12,675][11928] Decorrelating experience for 32 frames... | |
| [2023-07-04 15:20:12,751][11762] Heartbeat connected on RolloutWorker_w1 | |
| [2023-07-04 15:20:14,110][11925] Decorrelating experience for 64 frames... | |
| [2023-07-04 15:20:17,070][11762] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 158.9. Samples: 1590. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0) | |
| [2023-07-04 15:20:17,074][11762] Avg episode reward: [(0, '2.976')] | |
| [2023-07-04 15:20:17,667][11932] Decorrelating experience for 64 frames... | |
| [2023-07-04 15:20:17,670][11928] Decorrelating experience for 64 frames... | |
| [2023-07-04 15:20:17,892][11911] Signal inference workers to stop experience collection... | |
| [2023-07-04 15:20:17,915][11924] InferenceWorker_p0-w0: stopping experience collection | |
| [2023-07-04 15:20:18,587][11931] Decorrelating experience for 64 frames... | |
| [2023-07-04 15:20:18,666][11925] Decorrelating experience for 96 frames... | |
| [2023-07-04 15:20:18,824][11762] Heartbeat connected on RolloutWorker_w0 | |
| [2023-07-04 15:20:19,243][11931] Decorrelating experience for 96 frames... | |
| [2023-07-04 15:20:19,343][11762] Heartbeat connected on RolloutWorker_w6 | |
| [2023-07-04 15:20:19,357][11928] Decorrelating experience for 96 frames... | |
| [2023-07-04 15:20:19,371][11932] Decorrelating experience for 96 frames... | |
| [2023-07-04 15:20:19,485][11762] Heartbeat connected on RolloutWorker_w3 | |
| [2023-07-04 15:20:19,503][11762] Heartbeat connected on RolloutWorker_w7 | |
| [2023-07-04 15:20:19,609][11911] Signal inference workers to resume experience collection... | |
| [2023-07-04 15:20:19,610][11924] InferenceWorker_p0-w0: resuming experience collection | |
| [2023-07-04 15:20:22,067][11762] Fps is (10 sec: 1228.8, 60 sec: 819.2, 300 sec: 819.2). Total num frames: 12288. Throughput: 0: 256.1. Samples: 3842. Policy #0 lag: (min: 0.0, avg: 0.0, max: 0.0) | |
| [2023-07-04 15:20:22,074][11762] Avg episode reward: [(0, '3.005')] | |
| [2023-07-04 15:20:27,067][11762] Fps is (10 sec: 3278.0, 60 sec: 1638.4, 300 sec: 1638.4). Total num frames: 32768. Throughput: 0: 357.4. Samples: 7148. Policy #0 lag: (min: 0.0, avg: 0.3, max: 2.0) | |
| [2023-07-04 15:20:27,069][11762] Avg episode reward: [(0, '3.857')] | |
| [2023-07-04 15:20:28,255][11924] Updated weights for policy 0, policy_version 10 (0.0024) | |
| [2023-07-04 15:20:32,067][11762] Fps is (10 sec: 3686.4, 60 sec: 1966.1, 300 sec: 1966.1). Total num frames: 49152. Throughput: 0: 520.9. Samples: 13022. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-07-04 15:20:32,069][11762] Avg episode reward: [(0, '4.392')] | |
| [2023-07-04 15:20:37,067][11762] Fps is (10 sec: 3276.8, 60 sec: 2184.5, 300 sec: 2184.5). Total num frames: 65536. Throughput: 0: 578.5. Samples: 17354. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) | |
| [2023-07-04 15:20:37,073][11762] Avg episode reward: [(0, '4.397')] | |
| [2023-07-04 15:20:41,647][11924] Updated weights for policy 0, policy_version 20 (0.0035) | |
| [2023-07-04 15:20:42,069][11762] Fps is (10 sec: 3275.9, 60 sec: 2340.4, 300 sec: 2340.4). Total num frames: 81920. Throughput: 0: 556.9. Samples: 19492. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-07-04 15:20:42,075][11762] Avg episode reward: [(0, '4.379')] | |
| [2023-07-04 15:20:47,067][11762] Fps is (10 sec: 3686.4, 60 sec: 2560.0, 300 sec: 2560.0). Total num frames: 102400. Throughput: 0: 639.8. Samples: 25592. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-07-04 15:20:47,073][11762] Avg episode reward: [(0, '4.485')] | |
| [2023-07-04 15:20:47,078][11911] Saving new best policy, reward=4.485! | |
| [2023-07-04 15:20:50,974][11924] Updated weights for policy 0, policy_version 30 (0.0015) | |
| [2023-07-04 15:20:52,067][11762] Fps is (10 sec: 4097.1, 60 sec: 2730.7, 300 sec: 2730.7). Total num frames: 122880. Throughput: 0: 707.1. Samples: 31818. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-07-04 15:20:52,069][11762] Avg episode reward: [(0, '4.684')] | |
| [2023-07-04 15:20:52,081][11911] Saving new best policy, reward=4.684! | |
| [2023-07-04 15:20:57,067][11762] Fps is (10 sec: 3276.8, 60 sec: 2703.4, 300 sec: 2703.4). Total num frames: 135168. Throughput: 0: 743.4. Samples: 33470. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-07-04 15:20:57,072][11762] Avg episode reward: [(0, '4.698')] | |
| [2023-07-04 15:20:57,082][11911] Saving new best policy, reward=4.698! | |
| [2023-07-04 15:21:02,067][11762] Fps is (10 sec: 2867.2, 60 sec: 2755.5, 300 sec: 2755.5). Total num frames: 151552. Throughput: 0: 802.8. Samples: 37712. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2023-07-04 15:21:02,072][11762] Avg episode reward: [(0, '4.795')] | |
| [2023-07-04 15:21:02,085][11911] Saving new best policy, reward=4.795! | |
| [2023-07-04 15:21:05,105][11924] Updated weights for policy 0, policy_version 40 (0.0018) | |
| [2023-07-04 15:21:07,067][11762] Fps is (10 sec: 3686.4, 60 sec: 2867.2, 300 sec: 2867.2). Total num frames: 172032. Throughput: 0: 880.7. Samples: 43474. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) | |
| [2023-07-04 15:21:07,069][11762] Avg episode reward: [(0, '4.614')] | |
| [2023-07-04 15:21:12,067][11762] Fps is (10 sec: 4096.0, 60 sec: 3208.5, 300 sec: 2961.7). Total num frames: 192512. Throughput: 0: 881.9. Samples: 46832. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-07-04 15:21:12,068][11762] Avg episode reward: [(0, '4.623')] | |
| [2023-07-04 15:21:14,527][11924] Updated weights for policy 0, policy_version 50 (0.0017) | |
| [2023-07-04 15:21:17,068][11762] Fps is (10 sec: 3685.8, 60 sec: 3481.7, 300 sec: 2984.2). Total num frames: 208896. Throughput: 0: 882.9. Samples: 52752. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-07-04 15:21:17,071][11762] Avg episode reward: [(0, '4.688')] | |
| [2023-07-04 15:21:22,067][11762] Fps is (10 sec: 3276.7, 60 sec: 3549.9, 300 sec: 3003.7). Total num frames: 225280. Throughput: 0: 879.9. Samples: 56952. Policy #0 lag: (min: 0.0, avg: 0.3, max: 2.0) | |
| [2023-07-04 15:21:22,071][11762] Avg episode reward: [(0, '4.777')] | |
| [2023-07-04 15:21:27,071][11762] Fps is (10 sec: 3275.9, 60 sec: 3481.3, 300 sec: 3020.6). Total num frames: 241664. Throughput: 0: 878.5. Samples: 59024. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-07-04 15:21:27,079][11762] Avg episode reward: [(0, '4.760')] | |
| [2023-07-04 15:21:27,866][11924] Updated weights for policy 0, policy_version 60 (0.0018) | |
| [2023-07-04 15:21:32,067][11762] Fps is (10 sec: 3686.5, 60 sec: 3549.9, 300 sec: 3084.0). Total num frames: 262144. Throughput: 0: 886.1. Samples: 65466. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-07-04 15:21:32,073][11762] Avg episode reward: [(0, '5.215')] | |
| [2023-07-04 15:21:32,083][11911] Saving new best policy, reward=5.215! | |
| [2023-07-04 15:21:37,067][11762] Fps is (10 sec: 4097.8, 60 sec: 3618.1, 300 sec: 3140.3). Total num frames: 282624. Throughput: 0: 885.1. Samples: 71648. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-07-04 15:21:37,075][11762] Avg episode reward: [(0, '5.326')] | |
| [2023-07-04 15:21:37,079][11911] Saving new best policy, reward=5.326! | |
| [2023-07-04 15:21:37,783][11924] Updated weights for policy 0, policy_version 70 (0.0016) | |
| [2023-07-04 15:21:42,070][11762] Fps is (10 sec: 3275.8, 60 sec: 3549.8, 300 sec: 3104.2). Total num frames: 294912. Throughput: 0: 892.0. Samples: 73612. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-07-04 15:21:42,072][11762] Avg episode reward: [(0, '4.979')] | |
| [2023-07-04 15:21:42,081][11911] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000072_294912.pth... | |
| [2023-07-04 15:21:47,067][11762] Fps is (10 sec: 2867.1, 60 sec: 3481.6, 300 sec: 3113.0). Total num frames: 311296. Throughput: 0: 895.1. Samples: 77992. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2023-07-04 15:21:47,070][11762] Avg episode reward: [(0, '4.955')] | |
| [2023-07-04 15:21:50,537][11924] Updated weights for policy 0, policy_version 80 (0.0020) | |
| [2023-07-04 15:21:52,067][11762] Fps is (10 sec: 3687.5, 60 sec: 3481.6, 300 sec: 3159.8). Total num frames: 331776. Throughput: 0: 900.9. Samples: 84016. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-07-04 15:21:52,075][11762] Avg episode reward: [(0, '4.940')] | |
| [2023-07-04 15:21:57,067][11762] Fps is (10 sec: 4505.7, 60 sec: 3686.4, 300 sec: 3239.6). Total num frames: 356352. Throughput: 0: 902.0. Samples: 87422. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-07-04 15:21:57,074][11762] Avg episode reward: [(0, '4.783')] | |
| [2023-07-04 15:22:00,514][11924] Updated weights for policy 0, policy_version 90 (0.0013) | |
| [2023-07-04 15:22:02,067][11762] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3205.6). Total num frames: 368640. Throughput: 0: 893.8. Samples: 92970. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2023-07-04 15:22:02,072][11762] Avg episode reward: [(0, '4.892')] | |
| [2023-07-04 15:22:07,067][11762] Fps is (10 sec: 2867.2, 60 sec: 3549.9, 300 sec: 3208.5). Total num frames: 385024. Throughput: 0: 896.2. Samples: 97280. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-07-04 15:22:07,072][11762] Avg episode reward: [(0, '5.158')] | |
| [2023-07-04 15:22:12,067][11762] Fps is (10 sec: 3276.8, 60 sec: 3481.6, 300 sec: 3211.3). Total num frames: 401408. Throughput: 0: 899.7. Samples: 99506. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-07-04 15:22:12,069][11762] Avg episode reward: [(0, '5.560')] | |
| [2023-07-04 15:22:12,152][11911] Saving new best policy, reward=5.560! | |
| [2023-07-04 15:22:13,078][11924] Updated weights for policy 0, policy_version 100 (0.0018) | |
| [2023-07-04 15:22:17,067][11762] Fps is (10 sec: 4096.0, 60 sec: 3618.2, 300 sec: 3276.8). Total num frames: 425984. Throughput: 0: 898.8. Samples: 105912. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2023-07-04 15:22:17,076][11762] Avg episode reward: [(0, '5.886')] | |
| [2023-07-04 15:22:17,081][11911] Saving new best policy, reward=5.886! | |
| [2023-07-04 15:22:22,067][11762] Fps is (10 sec: 4505.6, 60 sec: 3686.4, 300 sec: 3307.1). Total num frames: 446464. Throughput: 0: 898.5. Samples: 112082. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2023-07-04 15:22:22,073][11762] Avg episode reward: [(0, '5.793')] | |
| [2023-07-04 15:22:23,609][11924] Updated weights for policy 0, policy_version 110 (0.0014) | |
| [2023-07-04 15:22:27,070][11762] Fps is (10 sec: 3275.7, 60 sec: 3618.2, 300 sec: 3276.7). Total num frames: 458752. Throughput: 0: 901.9. Samples: 114198. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2023-07-04 15:22:27,079][11762] Avg episode reward: [(0, '5.643')] | |
| [2023-07-04 15:22:32,067][11762] Fps is (10 sec: 2867.2, 60 sec: 3549.9, 300 sec: 3276.8). Total num frames: 475136. Throughput: 0: 900.9. Samples: 118532. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-07-04 15:22:32,074][11762] Avg episode reward: [(0, '5.685')] | |
| [2023-07-04 15:22:35,764][11924] Updated weights for policy 0, policy_version 120 (0.0017) | |
| [2023-07-04 15:22:37,067][11762] Fps is (10 sec: 3687.7, 60 sec: 3549.9, 300 sec: 3304.1). Total num frames: 495616. Throughput: 0: 903.1. Samples: 124656. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-07-04 15:22:37,068][11762] Avg episode reward: [(0, '5.803')] | |
| [2023-07-04 15:22:42,067][11762] Fps is (10 sec: 4096.0, 60 sec: 3686.6, 300 sec: 3329.7). Total num frames: 516096. Throughput: 0: 903.3. Samples: 128070. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-07-04 15:22:42,069][11762] Avg episode reward: [(0, '6.133')] | |
| [2023-07-04 15:22:42,127][11911] Saving new best policy, reward=6.133! | |
| [2023-07-04 15:22:46,005][11924] Updated weights for policy 0, policy_version 130 (0.0013) | |
| [2023-07-04 15:22:47,068][11762] Fps is (10 sec: 3685.8, 60 sec: 3686.3, 300 sec: 3328.0). Total num frames: 532480. Throughput: 0: 903.2. Samples: 133614. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2023-07-04 15:22:47,070][11762] Avg episode reward: [(0, '6.713')] | |
| [2023-07-04 15:22:47,080][11911] Saving new best policy, reward=6.713! | |
| [2023-07-04 15:22:52,067][11762] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3326.4). Total num frames: 548864. Throughput: 0: 901.5. Samples: 137848. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2023-07-04 15:22:52,077][11762] Avg episode reward: [(0, '7.141')] | |
| [2023-07-04 15:22:52,089][11911] Saving new best policy, reward=7.141! | |
| [2023-07-04 15:22:57,067][11762] Fps is (10 sec: 3277.3, 60 sec: 3481.6, 300 sec: 3325.0). Total num frames: 565248. Throughput: 0: 901.6. Samples: 140076. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2023-07-04 15:22:57,074][11762] Avg episode reward: [(0, '7.291')] | |
| [2023-07-04 15:22:57,079][11911] Saving new best policy, reward=7.291! | |
| [2023-07-04 15:22:58,304][11924] Updated weights for policy 0, policy_version 140 (0.0018) | |
| [2023-07-04 15:23:02,067][11762] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3370.4). Total num frames: 589824. Throughput: 0: 910.4. Samples: 146882. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-07-04 15:23:02,073][11762] Avg episode reward: [(0, '7.595')] | |
| [2023-07-04 15:23:02,083][11911] Saving new best policy, reward=7.595! | |
| [2023-07-04 15:23:07,067][11762] Fps is (10 sec: 4505.6, 60 sec: 3754.7, 300 sec: 3390.6). Total num frames: 610304. Throughput: 0: 910.0. Samples: 153030. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) | |
| [2023-07-04 15:23:07,073][11762] Avg episode reward: [(0, '7.373')] | |
| [2023-07-04 15:23:08,406][11924] Updated weights for policy 0, policy_version 150 (0.0019) | |
| [2023-07-04 15:23:12,068][11762] Fps is (10 sec: 3276.3, 60 sec: 3686.3, 300 sec: 3365.3). Total num frames: 622592. Throughput: 0: 909.6. Samples: 155130. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-07-04 15:23:12,078][11762] Avg episode reward: [(0, '7.173')] | |
| [2023-07-04 15:23:17,067][11762] Fps is (10 sec: 2867.2, 60 sec: 3549.9, 300 sec: 3363.0). Total num frames: 638976. Throughput: 0: 911.6. Samples: 159552. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-07-04 15:23:17,075][11762] Avg episode reward: [(0, '6.405')] | |
| [2023-07-04 15:23:20,851][11924] Updated weights for policy 0, policy_version 160 (0.0015) | |
| [2023-07-04 15:23:22,067][11762] Fps is (10 sec: 3687.0, 60 sec: 3549.9, 300 sec: 3381.8). Total num frames: 659456. Throughput: 0: 909.0. Samples: 165562. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-07-04 15:23:22,072][11762] Avg episode reward: [(0, '6.512')] | |
| [2023-07-04 15:23:27,067][11762] Fps is (10 sec: 4096.0, 60 sec: 3686.6, 300 sec: 3399.7). Total num frames: 679936. Throughput: 0: 907.8. Samples: 168920. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-07-04 15:23:27,072][11762] Avg episode reward: [(0, '7.027')] | |
| [2023-07-04 15:23:31,154][11924] Updated weights for policy 0, policy_version 170 (0.0022) | |
| [2023-07-04 15:23:32,072][11762] Fps is (10 sec: 3684.6, 60 sec: 3686.1, 300 sec: 3396.6). Total num frames: 696320. Throughput: 0: 906.5. Samples: 174410. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2023-07-04 15:23:32,089][11762] Avg episode reward: [(0, '7.720')] | |
| [2023-07-04 15:23:32,100][11911] Saving new best policy, reward=7.720! | |
| [2023-07-04 15:23:37,067][11762] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3393.8). Total num frames: 712704. Throughput: 0: 907.9. Samples: 178704. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-07-04 15:23:37,074][11762] Avg episode reward: [(0, '7.966')] | |
| [2023-07-04 15:23:37,076][11911] Saving new best policy, reward=7.966! | |
| [2023-07-04 15:23:42,067][11762] Fps is (10 sec: 3278.4, 60 sec: 3549.9, 300 sec: 3391.1). Total num frames: 729088. Throughput: 0: 905.2. Samples: 180810. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-07-04 15:23:42,071][11762] Avg episode reward: [(0, '8.377')] | |
| [2023-07-04 15:23:42,083][11911] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000178_729088.pth... | |
| [2023-07-04 15:23:42,197][11911] Saving new best policy, reward=8.377! | |
| [2023-07-04 15:23:43,776][11924] Updated weights for policy 0, policy_version 180 (0.0014) | |
| [2023-07-04 15:23:47,067][11762] Fps is (10 sec: 3686.4, 60 sec: 3618.2, 300 sec: 3407.1). Total num frames: 749568. Throughput: 0: 897.4. Samples: 187266. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2023-07-04 15:23:47,069][11762] Avg episode reward: [(0, '8.528')] | |
| [2023-07-04 15:23:47,074][11911] Saving new best policy, reward=8.528! | |
| [2023-07-04 15:23:52,067][11762] Fps is (10 sec: 4095.7, 60 sec: 3686.4, 300 sec: 3422.4). Total num frames: 770048. Throughput: 0: 898.7. Samples: 193470. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-07-04 15:23:52,070][11762] Avg episode reward: [(0, '8.678')] | |
| [2023-07-04 15:23:52,076][11911] Saving new best policy, reward=8.678! | |
| [2023-07-04 15:23:54,221][11924] Updated weights for policy 0, policy_version 190 (0.0012) | |
| [2023-07-04 15:23:57,067][11762] Fps is (10 sec: 3686.2, 60 sec: 3686.4, 300 sec: 3419.3). Total num frames: 786432. Throughput: 0: 900.2. Samples: 195636. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2023-07-04 15:23:57,070][11762] Avg episode reward: [(0, '8.520')] | |
| [2023-07-04 15:24:02,067][11762] Fps is (10 sec: 2867.4, 60 sec: 3481.6, 300 sec: 3398.8). Total num frames: 798720. Throughput: 0: 901.2. Samples: 200106. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2023-07-04 15:24:02,069][11762] Avg episode reward: [(0, '8.505')] | |
| [2023-07-04 15:24:06,175][11924] Updated weights for policy 0, policy_version 200 (0.0027) | |
| [2023-07-04 15:24:07,067][11762] Fps is (10 sec: 3277.0, 60 sec: 3481.6, 300 sec: 3413.3). Total num frames: 819200. Throughput: 0: 900.4. Samples: 206082. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-07-04 15:24:07,072][11762] Avg episode reward: [(0, '8.831')] | |
| [2023-07-04 15:24:07,110][11911] Saving new best policy, reward=8.831! | |
| [2023-07-04 15:24:12,067][11762] Fps is (10 sec: 4505.6, 60 sec: 3686.5, 300 sec: 3444.0). Total num frames: 843776. Throughput: 0: 899.1. Samples: 209378. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-07-04 15:24:12,069][11762] Avg episode reward: [(0, '9.321')] | |
| [2023-07-04 15:24:12,079][11911] Saving new best policy, reward=9.321! | |
| [2023-07-04 15:24:16,563][11924] Updated weights for policy 0, policy_version 210 (0.0018) | |
| [2023-07-04 15:24:17,067][11762] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3440.6). Total num frames: 860160. Throughput: 0: 901.1. Samples: 214954. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-07-04 15:24:17,072][11762] Avg episode reward: [(0, '9.657')] | |
| [2023-07-04 15:24:17,076][11911] Saving new best policy, reward=9.657! | |
| [2023-07-04 15:24:22,067][11762] Fps is (10 sec: 2867.2, 60 sec: 3549.9, 300 sec: 3421.4). Total num frames: 872448. Throughput: 0: 900.2. Samples: 219214. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-07-04 15:24:22,073][11762] Avg episode reward: [(0, '9.752')] | |
| [2023-07-04 15:24:22,089][11911] Saving new best policy, reward=9.752! | |
| [2023-07-04 15:24:27,067][11762] Fps is (10 sec: 2867.2, 60 sec: 3481.6, 300 sec: 3418.6). Total num frames: 888832. Throughput: 0: 893.6. Samples: 221022. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-07-04 15:24:27,072][11762] Avg episode reward: [(0, '10.147')] | |
| [2023-07-04 15:24:27,075][11911] Saving new best policy, reward=10.147! | |
| [2023-07-04 15:24:30,142][11924] Updated weights for policy 0, policy_version 220 (0.0024) | |
| [2023-07-04 15:24:32,067][11762] Fps is (10 sec: 3686.4, 60 sec: 3550.2, 300 sec: 3431.4). Total num frames: 909312. Throughput: 0: 876.0. Samples: 226684. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2023-07-04 15:24:32,068][11762] Avg episode reward: [(0, '9.975')] | |
| [2023-07-04 15:24:37,067][11762] Fps is (10 sec: 3686.4, 60 sec: 3549.9, 300 sec: 3428.5). Total num frames: 925696. Throughput: 0: 875.3. Samples: 232860. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-07-04 15:24:37,069][11762] Avg episode reward: [(0, '11.119')] | |
| [2023-07-04 15:24:37,161][11911] Saving new best policy, reward=11.119! | |
| [2023-07-04 15:24:41,643][11924] Updated weights for policy 0, policy_version 230 (0.0024) | |
| [2023-07-04 15:24:42,067][11762] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3425.7). Total num frames: 942080. Throughput: 0: 871.5. Samples: 234854. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-07-04 15:24:42,073][11762] Avg episode reward: [(0, '11.602')] | |
| [2023-07-04 15:24:42,081][11911] Saving new best policy, reward=11.602! | |
| [2023-07-04 15:24:42,461][11762] Keyboard interrupt detected in the event loop EvtLoop [Runner_EvtLoop, process=main process 11762], exiting... | |
| [2023-07-04 15:24:42,468][11911] Stopping Batcher_0... | |
| [2023-07-04 15:24:42,470][11911] Loop batcher_evt_loop terminating... | |
| [2023-07-04 15:24:42,467][11762] Runner profile tree view: | |
| main_loop: 297.6563 | |
| [2023-07-04 15:24:42,471][11911] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000230_942080.pth... | |
| [2023-07-04 15:24:42,470][11762] Collected {0: 942080}, FPS: 3165.0 | |
| [2023-07-04 15:24:42,542][11931] EvtLoop [rollout_proc6_evt_loop, process=rollout_proc6] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance6'), args=(0, 0) | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts | |
| complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 632, in advance_rollouts | |
| new_obs, rewards, terminated, truncated, infos = e.step(actions) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 319, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 129, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 115, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/scenario_wrappers/gathering_reward_shaping.py", line 33, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 384, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/envs/env_wrappers.py", line 88, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 319, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step | |
| reward = self.game.make_action(actions_flattened, self.skip_frames) | |
| vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed. | |
| [2023-07-04 15:24:42,562][11931] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc6_evt_loop | |
| [2023-07-04 15:24:42,538][11932] EvtLoop [rollout_proc7_evt_loop, process=rollout_proc7] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance7'), args=(1, 0) | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts | |
| complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 632, in advance_rollouts | |
| new_obs, rewards, terminated, truncated, infos = e.step(actions) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 319, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 129, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 115, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/scenario_wrappers/gathering_reward_shaping.py", line 33, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 384, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/envs/env_wrappers.py", line 88, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 319, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step | |
| reward = self.game.make_action(actions_flattened, self.skip_frames) | |
| vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed. | |
| [2023-07-04 15:24:42,499][11930] EvtLoop [rollout_proc5_evt_loop, process=rollout_proc5] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance5'), args=(1, 0) | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts | |
| complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 632, in advance_rollouts | |
| new_obs, rewards, terminated, truncated, infos = e.step(actions) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 319, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 129, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 115, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/scenario_wrappers/gathering_reward_shaping.py", line 33, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 384, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/envs/env_wrappers.py", line 88, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 319, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step | |
| reward = self.game.make_action(actions_flattened, self.skip_frames) | |
| vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed. | |
| [2023-07-04 15:24:42,610][11924] Weights refcount: 2 0 | |
| [2023-07-04 15:24:42,504][11926] EvtLoop [rollout_proc1_evt_loop, process=rollout_proc1] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance1'), args=(0, 0) | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts | |
| complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 632, in advance_rollouts | |
| new_obs, rewards, terminated, truncated, infos = e.step(actions) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 319, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 129, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 115, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/scenario_wrappers/gathering_reward_shaping.py", line 33, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 384, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/envs/env_wrappers.py", line 88, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 319, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step | |
| reward = self.game.make_action(actions_flattened, self.skip_frames) | |
| vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed. | |
| [2023-07-04 15:24:42,619][11926] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc1_evt_loop | |
| [2023-07-04 15:24:42,565][11932] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc7_evt_loop | |
| [2023-07-04 15:24:42,645][11924] Stopping InferenceWorker_p0-w0... | |
| [2023-07-04 15:24:42,645][11924] Loop inference_proc0-0_evt_loop terminating... | |
| [2023-07-04 15:24:42,591][11930] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc5_evt_loop | |
| [2023-07-04 15:24:42,557][11928] EvtLoop [rollout_proc3_evt_loop, process=rollout_proc3] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance3'), args=(0, 0) | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts | |
| complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 632, in advance_rollouts | |
| new_obs, rewards, terminated, truncated, infos = e.step(actions) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 319, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 129, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 115, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/scenario_wrappers/gathering_reward_shaping.py", line 33, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 384, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/envs/env_wrappers.py", line 88, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 319, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step | |
| reward = self.game.make_action(actions_flattened, self.skip_frames) | |
| vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed. | |
| [2023-07-04 15:24:42,653][11928] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc3_evt_loop | |
| [2023-07-04 15:24:42,603][11927] EvtLoop [rollout_proc2_evt_loop, process=rollout_proc2] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance2'), args=(1, 0) | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts | |
| complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 632, in advance_rollouts | |
| new_obs, rewards, terminated, truncated, infos = e.step(actions) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 319, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 129, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 115, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/scenario_wrappers/gathering_reward_shaping.py", line 33, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 384, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/envs/env_wrappers.py", line 88, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 319, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step | |
| reward = self.game.make_action(actions_flattened, self.skip_frames) | |
| vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed. | |
| [2023-07-04 15:24:42,659][11927] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc2_evt_loop | |
| [2023-07-04 15:24:42,650][11929] EvtLoop [rollout_proc4_evt_loop, process=rollout_proc4] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance4'), args=(1, 0) | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts | |
| complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 632, in advance_rollouts | |
| new_obs, rewards, terminated, truncated, infos = e.step(actions) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 319, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 129, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 115, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/scenario_wrappers/gathering_reward_shaping.py", line 33, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 384, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/envs/env_wrappers.py", line 88, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 319, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step | |
| reward = self.game.make_action(actions_flattened, self.skip_frames) | |
| vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed. | |
| [2023-07-04 15:24:42,684][11925] EvtLoop [rollout_proc0_evt_loop, process=rollout_proc0] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance0'), args=(1, 0) | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts | |
| complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 632, in advance_rollouts | |
| new_obs, rewards, terminated, truncated, infos = e.step(actions) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 319, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 129, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 115, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/scenario_wrappers/gathering_reward_shaping.py", line 33, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 384, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/envs/env_wrappers.py", line 88, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gym/core.py", line 319, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step | |
| reward = self.game.make_action(actions_flattened, self.skip_frames) | |
| vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed. | |
| [2023-07-04 15:24:42,796][11925] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc0_evt_loop | |
| [2023-07-04 15:24:42,748][11929] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc4_evt_loop | |
| [2023-07-04 15:24:42,992][11911] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000072_294912.pth | |
| [2023-07-04 15:24:43,027][11911] Stopping LearnerWorker_p0... | |
| [2023-07-04 15:24:43,032][11911] Loop learner_proc0_evt_loop terminating... | |
| [2023-07-04 15:25:30,346][17091] Saving configuration to /content/train_dir/default_experiment/config.json... | |
| [2023-07-04 15:25:30,349][17091] Rollout worker 0 uses device cpu | |
| [2023-07-04 15:25:30,350][17091] Rollout worker 1 uses device cpu | |
| [2023-07-04 15:25:30,351][17091] Rollout worker 2 uses device cpu | |
| [2023-07-04 15:25:30,352][17091] Rollout worker 3 uses device cpu | |
| [2023-07-04 15:25:30,355][17091] Rollout worker 4 uses device cpu | |
| [2023-07-04 15:25:30,356][17091] Rollout worker 5 uses device cpu | |
| [2023-07-04 15:25:30,357][17091] Rollout worker 6 uses device cpu | |
| [2023-07-04 15:25:30,358][17091] Rollout worker 7 uses device cpu | |
| [2023-07-04 15:25:30,541][17091] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:25:30,546][17091] InferenceWorker_p0-w0: min num requests: 2 | |
| [2023-07-04 15:25:30,587][17091] Starting all processes... | |
| [2023-07-04 15:25:30,591][17091] Starting process learner_proc0 | |
| [2023-07-04 15:25:30,659][17091] Starting all processes... | |
| [2023-07-04 15:25:30,675][17091] Starting process inference_proc0-0 | |
| [2023-07-04 15:25:30,676][17091] Starting process rollout_proc0 | |
| [2023-07-04 15:25:30,680][17091] Starting process rollout_proc1 | |
| [2023-07-04 15:25:30,680][17091] Starting process rollout_proc2 | |
| [2023-07-04 15:25:30,689][17091] Starting process rollout_proc3 | |
| [2023-07-04 15:25:30,689][17091] Starting process rollout_proc4 | |
| [2023-07-04 15:25:30,689][17091] Starting process rollout_proc5 | |
| [2023-07-04 15:25:30,689][17091] Starting process rollout_proc6 | |
| [2023-07-04 15:25:30,689][17091] Starting process rollout_proc7 | |
| [2023-07-04 15:25:41,907][17310] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:25:41,908][17310] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for learning process 0 | |
| [2023-07-04 15:25:41,966][17310] Num visible devices: 1 | |
| [2023-07-04 15:25:41,985][17326] Worker 2 uses CPU cores [0] | |
| [2023-07-04 15:25:42,001][17310] Starting seed is not provided | |
| [2023-07-04 15:25:42,002][17310] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:25:42,003][17310] Initializing actor-critic model on device cuda:0 | |
| [2023-07-04 15:25:42,004][17310] RunningMeanStd input shape: (3, 72, 128) | |
| [2023-07-04 15:25:42,005][17310] RunningMeanStd input shape: (1,) | |
| [2023-07-04 15:25:42,038][17331] Worker 7 uses CPU cores [1] | |
| [2023-07-04 15:25:42,094][17310] ConvEncoder: input_channels=3 | |
| [2023-07-04 15:25:42,254][17324] Worker 0 uses CPU cores [0] | |
| [2023-07-04 15:25:42,344][17327] Worker 3 uses CPU cores [1] | |
| [2023-07-04 15:25:42,373][17325] Worker 1 uses CPU cores [1] | |
| [2023-07-04 15:25:42,379][17330] Worker 6 uses CPU cores [0] | |
| [2023-07-04 15:25:42,400][17323] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:25:42,401][17323] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for inference process 0 | |
| [2023-07-04 15:25:42,411][17329] Worker 5 uses CPU cores [1] | |
| [2023-07-04 15:25:42,431][17323] Num visible devices: 1 | |
| [2023-07-04 15:25:42,448][17328] Worker 4 uses CPU cores [0] | |
| [2023-07-04 15:25:42,499][17310] Conv encoder output size: 512 | |
| [2023-07-04 15:25:42,499][17310] Policy head output size: 512 | |
| [2023-07-04 15:25:42,513][17310] Created Actor Critic model with architecture: | |
| [2023-07-04 15:25:42,513][17310] ActorCriticSharedWeights( | |
| (obs_normalizer): ObservationNormalizer( | |
| (running_mean_std): RunningMeanStdDictInPlace( | |
| (running_mean_std): ModuleDict( | |
| (obs): RunningMeanStdInPlace() | |
| ) | |
| ) | |
| ) | |
| (returns_normalizer): RecursiveScriptModule(original_name=RunningMeanStdInPlace) | |
| (encoder): VizdoomEncoder( | |
| (basic_encoder): ConvEncoder( | |
| (enc): RecursiveScriptModule( | |
| original_name=ConvEncoderImpl | |
| (conv_head): RecursiveScriptModule( | |
| original_name=Sequential | |
| (0): RecursiveScriptModule(original_name=Conv2d) | |
| (1): RecursiveScriptModule(original_name=ELU) | |
| (2): RecursiveScriptModule(original_name=Conv2d) | |
| (3): RecursiveScriptModule(original_name=ELU) | |
| (4): RecursiveScriptModule(original_name=Conv2d) | |
| (5): RecursiveScriptModule(original_name=ELU) | |
| ) | |
| (mlp_layers): RecursiveScriptModule( | |
| original_name=Sequential | |
| (0): RecursiveScriptModule(original_name=Linear) | |
| (1): RecursiveScriptModule(original_name=ELU) | |
| ) | |
| ) | |
| ) | |
| ) | |
| (core): ModelCoreRNN( | |
| (core): GRU(512, 512) | |
| ) | |
| (decoder): MlpDecoder( | |
| (mlp): Identity() | |
| ) | |
| (critic_linear): Linear(in_features=512, out_features=1, bias=True) | |
| (action_parameterization): ActionParameterizationDefault( | |
| (distribution_linear): Linear(in_features=512, out_features=5, bias=True) | |
| ) | |
| ) | |
| [2023-07-04 15:25:44,870][17310] Using optimizer <class 'torch.optim.adam.Adam'> | |
| [2023-07-04 15:25:44,871][17310] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000230_942080.pth... | |
| [2023-07-04 15:25:44,903][17310] Loading model from checkpoint | |
| [2023-07-04 15:25:44,907][17310] Loaded experiment state at self.train_step=230, self.env_steps=942080 | |
| [2023-07-04 15:25:44,908][17310] Initialized policy 0 weights for model version 230 | |
| [2023-07-04 15:25:44,912][17310] LearnerWorker_p0 finished initialization! | |
| [2023-07-04 15:25:44,912][17310] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:25:45,101][17323] RunningMeanStd input shape: (3, 72, 128) | |
| [2023-07-04 15:25:45,102][17323] RunningMeanStd input shape: (1,) | |
| [2023-07-04 15:25:45,114][17323] ConvEncoder: input_channels=3 | |
| [2023-07-04 15:25:45,215][17323] Conv encoder output size: 512 | |
| [2023-07-04 15:25:45,215][17323] Policy head output size: 512 | |
| [2023-07-04 15:25:46,687][17091] Keyboard interrupt detected in the event loop EvtLoop [Runner_EvtLoop, process=main process 17091], exiting... | |
| [2023-07-04 15:25:46,690][17328] Stopping RolloutWorker_w4... | |
| [2023-07-04 15:25:46,690][17328] Loop rollout_proc4_evt_loop terminating... | |
| [2023-07-04 15:25:46,690][17310] Stopping Batcher_0... | |
| [2023-07-04 15:25:46,691][17310] Loop batcher_evt_loop terminating... | |
| [2023-07-04 15:25:46,692][17310] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000230_942080.pth... | |
| [2023-07-04 15:25:46,692][17324] Stopping RolloutWorker_w0... | |
| [2023-07-04 15:25:46,692][17324] Loop rollout_proc0_evt_loop terminating... | |
| [2023-07-04 15:25:46,693][17330] Stopping RolloutWorker_w6... | |
| [2023-07-04 15:25:46,694][17330] Loop rollout_proc6_evt_loop terminating... | |
| [2023-07-04 15:25:46,695][17326] Stopping RolloutWorker_w2... | |
| [2023-07-04 15:25:46,696][17326] Loop rollout_proc2_evt_loop terminating... | |
| [2023-07-04 15:25:46,690][17091] Runner profile tree view: | |
| main_loop: 16.1026 | |
| [2023-07-04 15:25:46,704][17091] Collected {0: 942080}, FPS: 0.0 | |
| [2023-07-04 15:25:46,712][17329] Stopping RolloutWorker_w5... | |
| [2023-07-04 15:25:46,704][17325] Stopping RolloutWorker_w1... | |
| [2023-07-04 15:25:46,706][17327] Stopping RolloutWorker_w3... | |
| [2023-07-04 15:25:46,718][17331] Stopping RolloutWorker_w7... | |
| [2023-07-04 15:25:46,720][17325] Loop rollout_proc1_evt_loop terminating... | |
| [2023-07-04 15:25:46,736][17329] Loop rollout_proc5_evt_loop terminating... | |
| [2023-07-04 15:25:46,734][17327] Loop rollout_proc3_evt_loop terminating... | |
| [2023-07-04 15:25:46,736][17331] Loop rollout_proc7_evt_loop terminating... | |
| [2023-07-04 15:25:46,778][17323] Weights refcount: 2 0 | |
| [2023-07-04 15:25:46,775][17091] Loading existing experiment configuration from /content/train_dir/default_experiment/config.json | |
| [2023-07-04 15:25:46,781][17091] Overriding arg 'num_workers' with value 1 passed from command line | |
| [2023-07-04 15:25:46,784][17091] Adding new argument 'no_render'=True that is not in the saved config file! | |
| [2023-07-04 15:25:46,786][17091] Adding new argument 'save_video'=True that is not in the saved config file! | |
| [2023-07-04 15:25:46,788][17091] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file! | |
| [2023-07-04 15:25:46,789][17091] Adding new argument 'video_name'=None that is not in the saved config file! | |
| [2023-07-04 15:25:46,790][17323] Stopping InferenceWorker_p0-w0... | |
| [2023-07-04 15:25:46,793][17323] Loop inference_proc0-0_evt_loop terminating... | |
| [2023-07-04 15:25:46,791][17091] Adding new argument 'max_num_frames'=1000000000.0 that is not in the saved config file! | |
| [2023-07-04 15:25:46,795][17091] Adding new argument 'max_num_episodes'=10 that is not in the saved config file! | |
| [2023-07-04 15:25:46,797][17091] Adding new argument 'push_to_hub'=False that is not in the saved config file! | |
| [2023-07-04 15:25:46,799][17091] Adding new argument 'hf_repository'=None that is not in the saved config file! | |
| [2023-07-04 15:25:46,804][17091] Adding new argument 'policy_index'=0 that is not in the saved config file! | |
| [2023-07-04 15:25:46,805][17091] Adding new argument 'eval_deterministic'=False that is not in the saved config file! | |
| [2023-07-04 15:25:46,810][17091] Adding new argument 'train_script'=None that is not in the saved config file! | |
| [2023-07-04 15:25:46,812][17091] Adding new argument 'enjoy_script'=None that is not in the saved config file! | |
| [2023-07-04 15:25:46,813][17091] Using frameskip 1 and render_action_repeat=4 for evaluation | |
| [2023-07-04 15:25:46,875][17091] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-07-04 15:25:46,883][17091] RunningMeanStd input shape: (3, 72, 128) | |
| [2023-07-04 15:25:46,892][17091] RunningMeanStd input shape: (1,) | |
| [2023-07-04 15:25:46,973][17091] ConvEncoder: input_channels=3 | |
| [2023-07-04 15:25:46,991][17310] Stopping LearnerWorker_p0... | |
| [2023-07-04 15:25:46,999][17310] Loop learner_proc0_evt_loop terminating... | |
| [2023-07-04 15:25:47,450][17091] Conv encoder output size: 512 | |
| [2023-07-04 15:25:47,458][17091] Policy head output size: 512 | |
| [2023-07-04 15:25:53,319][17091] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000230_942080.pth... | |
| [2023-07-04 15:25:54,502][17091] Num frames 100... | |
| [2023-07-04 15:25:54,622][17091] Num frames 200... | |
| [2023-07-04 15:25:54,747][17091] Num frames 300... | |
| [2023-07-04 15:25:54,891][17091] Num frames 400... | |
| [2023-07-04 15:25:55,016][17091] Num frames 500... | |
| [2023-07-04 15:25:55,138][17091] Num frames 600... | |
| [2023-07-04 15:25:55,205][17091] Avg episode rewards: #0: 9.080, true rewards: #0: 6.080 | |
| [2023-07-04 15:25:55,208][17091] Avg episode reward: 9.080, avg true_objective: 6.080 | |
| [2023-07-04 15:25:55,327][17091] Num frames 700... | |
| [2023-07-04 15:25:55,456][17091] Num frames 800... | |
| [2023-07-04 15:25:55,578][17091] Num frames 900... | |
| [2023-07-04 15:25:55,712][17091] Num frames 1000... | |
| [2023-07-04 15:25:55,837][17091] Num frames 1100... | |
| [2023-07-04 15:25:55,972][17091] Num frames 1200... | |
| [2023-07-04 15:25:56,106][17091] Num frames 1300... | |
| [2023-07-04 15:25:56,242][17091] Num frames 1400... | |
| [2023-07-04 15:25:56,357][17091] Avg episode rewards: #0: 12.710, true rewards: #0: 7.210 | |
| [2023-07-04 15:25:56,359][17091] Avg episode reward: 12.710, avg true_objective: 7.210 | |
| [2023-07-04 15:25:56,447][17091] Num frames 1500... | |
| [2023-07-04 15:25:56,584][17091] Num frames 1600... | |
| [2023-07-04 15:25:56,708][17091] Num frames 1700... | |
| [2023-07-04 15:25:56,839][17091] Num frames 1800... | |
| [2023-07-04 15:25:56,970][17091] Num frames 1900... | |
| [2023-07-04 15:25:57,103][17091] Num frames 2000... | |
| [2023-07-04 15:25:57,236][17091] Num frames 2100... | |
| [2023-07-04 15:25:57,357][17091] Num frames 2200... | |
| [2023-07-04 15:25:57,483][17091] Num frames 2300... | |
| [2023-07-04 15:25:57,610][17091] Num frames 2400... | |
| [2023-07-04 15:25:57,730][17091] Num frames 2500... | |
| [2023-07-04 15:25:57,902][17091] Avg episode rewards: #0: 16.647, true rewards: #0: 8.647 | |
| [2023-07-04 15:25:57,905][17091] Avg episode reward: 16.647, avg true_objective: 8.647 | |
| [2023-07-04 15:25:57,917][17091] Num frames 2600... | |
| [2023-07-04 15:25:58,039][17091] Num frames 2700... | |
| [2023-07-04 15:25:58,162][17091] Num frames 2800... | |
| [2023-07-04 15:25:58,300][17091] Num frames 2900... | |
| [2023-07-04 15:25:58,423][17091] Num frames 3000... | |
| [2023-07-04 15:25:58,550][17091] Num frames 3100... | |
| [2023-07-04 15:25:58,670][17091] Num frames 3200... | |
| [2023-07-04 15:25:58,798][17091] Num frames 3300... | |
| [2023-07-04 15:25:58,930][17091] Num frames 3400... | |
| [2023-07-04 15:25:59,048][17091] Num frames 3500... | |
| [2023-07-04 15:25:59,173][17091] Num frames 3600... | |
| [2023-07-04 15:25:59,295][17091] Num frames 3700... | |
| [2023-07-04 15:25:59,417][17091] Num frames 3800... | |
| [2023-07-04 15:25:59,535][17091] Num frames 3900... | |
| [2023-07-04 15:25:59,600][17091] Avg episode rewards: #0: 19.765, true rewards: #0: 9.765 | |
| [2023-07-04 15:25:59,601][17091] Avg episode reward: 19.765, avg true_objective: 9.765 | |
| [2023-07-04 15:25:59,714][17091] Num frames 4000... | |
| [2023-07-04 15:25:59,841][17091] Num frames 4100... | |
| [2023-07-04 15:25:59,964][17091] Num frames 4200... | |
| [2023-07-04 15:26:00,135][17091] Avg episode rewards: #0: 16.580, true rewards: #0: 8.580 | |
| [2023-07-04 15:26:00,137][17091] Avg episode reward: 16.580, avg true_objective: 8.580 | |
| [2023-07-04 15:26:00,152][17091] Num frames 4300... | |
| [2023-07-04 15:26:00,280][17091] Num frames 4400... | |
| [2023-07-04 15:26:00,407][17091] Num frames 4500... | |
| [2023-07-04 15:26:00,534][17091] Num frames 4600... | |
| [2023-07-04 15:26:00,655][17091] Num frames 4700... | |
| [2023-07-04 15:26:00,756][17091] Avg episode rewards: #0: 14.730, true rewards: #0: 7.897 | |
| [2023-07-04 15:26:00,758][17091] Avg episode reward: 14.730, avg true_objective: 7.897 | |
| [2023-07-04 15:26:00,834][17091] Num frames 4800... | |
| [2023-07-04 15:26:00,964][17091] Num frames 4900... | |
| [2023-07-04 15:26:01,087][17091] Num frames 5000... | |
| [2023-07-04 15:26:01,213][17091] Num frames 5100... | |
| [2023-07-04 15:26:01,336][17091] Num frames 5200... | |
| [2023-07-04 15:26:01,464][17091] Num frames 5300... | |
| [2023-07-04 15:26:01,583][17091] Num frames 5400... | |
| [2023-07-04 15:26:01,705][17091] Num frames 5500... | |
| [2023-07-04 15:26:01,833][17091] Num frames 5600... | |
| [2023-07-04 15:26:01,932][17091] Avg episode rewards: #0: 15.334, true rewards: #0: 8.049 | |
| [2023-07-04 15:26:01,934][17091] Avg episode reward: 15.334, avg true_objective: 8.049 | |
| [2023-07-04 15:26:02,019][17091] Num frames 5700... | |
| [2023-07-04 15:26:02,142][17091] Num frames 5800... | |
| [2023-07-04 15:26:02,264][17091] Num frames 5900... | |
| [2023-07-04 15:26:02,394][17091] Num frames 6000... | |
| [2023-07-04 15:26:02,512][17091] Num frames 6100... | |
| [2023-07-04 15:26:02,642][17091] Num frames 6200... | |
| [2023-07-04 15:26:02,768][17091] Num frames 6300... | |
| [2023-07-04 15:26:02,909][17091] Num frames 6400... | |
| [2023-07-04 15:26:02,970][17091] Avg episode rewards: #0: 15.253, true rewards: #0: 8.002 | |
| [2023-07-04 15:26:02,972][17091] Avg episode reward: 15.253, avg true_objective: 8.002 | |
| [2023-07-04 15:26:03,113][17091] Num frames 6500... | |
| [2023-07-04 15:26:03,236][17091] Num frames 6600... | |
| [2023-07-04 15:26:03,360][17091] Num frames 6700... | |
| [2023-07-04 15:26:03,462][17091] Avg episode rewards: #0: 14.153, true rewards: #0: 7.487 | |
| [2023-07-04 15:26:03,463][17091] Avg episode reward: 14.153, avg true_objective: 7.487 | |
| [2023-07-04 15:26:03,541][17091] Num frames 6800... | |
| [2023-07-04 15:26:03,717][17091] Num frames 6900... | |
| [2023-07-04 15:26:03,899][17091] Num frames 7000... | |
| [2023-07-04 15:26:04,077][17091] Num frames 7100... | |
| [2023-07-04 15:26:04,250][17091] Num frames 7200... | |
| [2023-07-04 15:26:04,422][17091] Num frames 7300... | |
| [2023-07-04 15:26:04,595][17091] Num frames 7400... | |
| [2023-07-04 15:26:04,771][17091] Num frames 7500... | |
| [2023-07-04 15:26:04,949][17091] Num frames 7600... | |
| [2023-07-04 15:26:05,135][17091] Num frames 7700... | |
| [2023-07-04 15:26:05,319][17091] Num frames 7800... | |
| [2023-07-04 15:26:05,491][17091] Num frames 7900... | |
| [2023-07-04 15:26:05,667][17091] Num frames 8000... | |
| [2023-07-04 15:26:05,757][17091] Avg episode rewards: #0: 15.318, true rewards: #0: 8.018 | |
| [2023-07-04 15:26:05,760][17091] Avg episode reward: 15.318, avg true_objective: 8.018 | |
| [2023-07-04 15:26:55,950][17091] Replay video saved to /content/train_dir/default_experiment/replay.mp4! | |
| [2023-07-04 15:26:55,980][17091] Environment doom_basic already registered, overwriting... | |
| [2023-07-04 15:26:55,986][17091] Environment doom_two_colors_easy already registered, overwriting... | |
| [2023-07-04 15:26:55,988][17091] Environment doom_two_colors_hard already registered, overwriting... | |
| [2023-07-04 15:26:55,991][17091] Environment doom_dm already registered, overwriting... | |
| [2023-07-04 15:26:55,992][17091] Environment doom_dwango5 already registered, overwriting... | |
| [2023-07-04 15:26:55,993][17091] Environment doom_my_way_home_flat_actions already registered, overwriting... | |
| [2023-07-04 15:26:55,997][17091] Environment doom_defend_the_center_flat_actions already registered, overwriting... | |
| [2023-07-04 15:26:55,998][17091] Environment doom_my_way_home already registered, overwriting... | |
| [2023-07-04 15:26:55,999][17091] Environment doom_deadly_corridor already registered, overwriting... | |
| [2023-07-04 15:26:56,000][17091] Environment doom_defend_the_center already registered, overwriting... | |
| [2023-07-04 15:26:56,001][17091] Environment doom_defend_the_line already registered, overwriting... | |
| [2023-07-04 15:26:56,003][17091] Environment doom_health_gathering already registered, overwriting... | |
| [2023-07-04 15:26:56,004][17091] Environment doom_health_gathering_supreme already registered, overwriting... | |
| [2023-07-04 15:26:56,006][17091] Environment doom_battle already registered, overwriting... | |
| [2023-07-04 15:26:56,008][17091] Environment doom_battle2 already registered, overwriting... | |
| [2023-07-04 15:26:56,009][17091] Environment doom_duel_bots already registered, overwriting... | |
| [2023-07-04 15:26:56,011][17091] Environment doom_deathmatch_bots already registered, overwriting... | |
| [2023-07-04 15:26:56,012][17091] Environment doom_duel already registered, overwriting... | |
| [2023-07-04 15:26:56,013][17091] Environment doom_deathmatch_full already registered, overwriting... | |
| [2023-07-04 15:26:56,015][17091] Environment doom_benchmark already registered, overwriting... | |
| [2023-07-04 15:26:56,016][17091] register_encoder_factory: <function make_vizdoom_encoder at 0x7f83d60ab760> | |
| [2023-07-04 15:26:56,040][17091] Loading existing experiment configuration from /content/train_dir/default_experiment/config.json | |
| [2023-07-04 15:26:56,053][17091] Experiment dir /content/train_dir/default_experiment already exists! | |
| [2023-07-04 15:26:56,055][17091] Resuming existing experiment from /content/train_dir/default_experiment... | |
| [2023-07-04 15:26:56,056][17091] Weights and Biases integration disabled | |
| [2023-07-04 15:26:56,061][17091] Environment var CUDA_VISIBLE_DEVICES is 0 | |
| [2023-07-04 15:26:57,668][17091] Starting experiment with the following configuration: | |
| help=False | |
| algo=APPO | |
| env=doom_health_gathering_supreme | |
| experiment=default_experiment | |
| train_dir=/content/train_dir | |
| restart_behavior=resume | |
| device=gpu | |
| seed=None | |
| num_policies=1 | |
| async_rl=True | |
| serial_mode=False | |
| batched_sampling=False | |
| num_batches_to_accumulate=2 | |
| worker_num_splits=2 | |
| policy_workers_per_policy=1 | |
| max_policy_lag=1000 | |
| num_workers=8 | |
| num_envs_per_worker=4 | |
| batch_size=1024 | |
| num_batches_per_epoch=1 | |
| num_epochs=1 | |
| rollout=32 | |
| recurrence=32 | |
| shuffle_minibatches=False | |
| gamma=0.99 | |
| reward_scale=1.0 | |
| reward_clip=1000.0 | |
| value_bootstrap=False | |
| normalize_returns=True | |
| exploration_loss_coeff=0.001 | |
| value_loss_coeff=0.5 | |
| kl_loss_coeff=0.0 | |
| exploration_loss=symmetric_kl | |
| gae_lambda=0.95 | |
| ppo_clip_ratio=0.1 | |
| ppo_clip_value=0.2 | |
| with_vtrace=False | |
| vtrace_rho=1.0 | |
| vtrace_c=1.0 | |
| optimizer=adam | |
| adam_eps=1e-06 | |
| adam_beta1=0.9 | |
| adam_beta2=0.999 | |
| max_grad_norm=4.0 | |
| learning_rate=0.0001 | |
| lr_schedule=constant | |
| lr_schedule_kl_threshold=0.008 | |
| lr_adaptive_min=1e-06 | |
| lr_adaptive_max=0.01 | |
| obs_subtract_mean=0.0 | |
| obs_scale=255.0 | |
| normalize_input=True | |
| normalize_input_keys=None | |
| decorrelate_experience_max_seconds=0 | |
| decorrelate_envs_on_one_worker=True | |
| actor_worker_gpus=[] | |
| set_workers_cpu_affinity=True | |
| force_envs_single_thread=False | |
| default_niceness=0 | |
| log_to_file=True | |
| experiment_summaries_interval=10 | |
| flush_summaries_interval=30 | |
| stats_avg=100 | |
| summaries_use_frameskip=True | |
| heartbeat_interval=20 | |
| heartbeat_reporting_interval=600 | |
| train_for_env_steps=4000000 | |
| train_for_seconds=10000000000 | |
| save_every_sec=120 | |
| keep_checkpoints=2 | |
| load_checkpoint_kind=latest | |
| save_milestones_sec=-1 | |
| save_best_every_sec=5 | |
| save_best_metric=reward | |
| save_best_after=100000 | |
| benchmark=False | |
| encoder_mlp_layers=[512, 512] | |
| encoder_conv_architecture=convnet_simple | |
| encoder_conv_mlp_layers=[512] | |
| use_rnn=True | |
| rnn_size=512 | |
| rnn_type=gru | |
| rnn_num_layers=1 | |
| decoder_mlp_layers=[] | |
| nonlinearity=elu | |
| policy_initialization=orthogonal | |
| policy_init_gain=1.0 | |
| actor_critic_share_weights=True | |
| adaptive_stddev=True | |
| continuous_tanh_scale=0.0 | |
| initial_stddev=1.0 | |
| use_env_info_cache=False | |
| env_gpu_actions=False | |
| env_gpu_observations=True | |
| env_frameskip=4 | |
| env_framestack=1 | |
| pixel_format=CHW | |
| use_record_episode_statistics=False | |
| with_wandb=False | |
| wandb_user=None | |
| wandb_project=sample_factory | |
| wandb_group=None | |
| wandb_job_type=SF | |
| wandb_tags=[] | |
| with_pbt=False | |
| pbt_mix_policies_in_one_env=True | |
| pbt_period_env_steps=5000000 | |
| pbt_start_mutation=20000000 | |
| pbt_replace_fraction=0.3 | |
| pbt_mutation_rate=0.15 | |
| pbt_replace_reward_gap=0.1 | |
| pbt_replace_reward_gap_absolute=1e-06 | |
| pbt_optimize_gamma=False | |
| pbt_target_objective=true_objective | |
| pbt_perturb_min=1.1 | |
| pbt_perturb_max=1.5 | |
| num_agents=-1 | |
| num_humans=0 | |
| num_bots=-1 | |
| start_bot_difficulty=None | |
| timelimit=None | |
| res_w=128 | |
| res_h=72 | |
| wide_aspect_ratio=False | |
| eval_env_frameskip=1 | |
| fps=35 | |
| command_line=--env=doom_health_gathering_supreme --num_workers=8 --num_envs_per_worker=4 --train_for_env_steps=4000000 | |
| cli_args={'env': 'doom_health_gathering_supreme', 'num_workers': 8, 'num_envs_per_worker': 4, 'train_for_env_steps': 4000000} | |
| git_hash=unknown | |
| git_repo_name=not a git repository | |
| [2023-07-04 15:26:57,670][17091] Saving configuration to /content/train_dir/default_experiment/config.json... | |
| [2023-07-04 15:26:57,673][17091] Rollout worker 0 uses device cpu | |
| [2023-07-04 15:26:57,675][17091] Rollout worker 1 uses device cpu | |
| [2023-07-04 15:26:57,677][17091] Rollout worker 2 uses device cpu | |
| [2023-07-04 15:26:57,678][17091] Rollout worker 3 uses device cpu | |
| [2023-07-04 15:26:57,679][17091] Rollout worker 4 uses device cpu | |
| [2023-07-04 15:26:57,681][17091] Rollout worker 5 uses device cpu | |
| [2023-07-04 15:26:57,683][17091] Rollout worker 6 uses device cpu | |
| [2023-07-04 15:26:57,684][17091] Rollout worker 7 uses device cpu | |
| [2023-07-04 15:26:57,792][17091] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:26:57,793][17091] InferenceWorker_p0-w0: min num requests: 2 | |
| [2023-07-04 15:26:57,824][17091] Starting all processes... | |
| [2023-07-04 15:26:57,825][17091] Starting process learner_proc0 | |
| [2023-07-04 15:26:57,878][17091] Starting all processes... | |
| [2023-07-04 15:26:57,883][17091] Starting process inference_proc0-0 | |
| [2023-07-04 15:26:57,884][17091] Starting process rollout_proc0 | |
| [2023-07-04 15:26:57,885][17091] Starting process rollout_proc1 | |
| [2023-07-04 15:26:57,885][17091] Starting process rollout_proc2 | |
| [2023-07-04 15:26:57,885][17091] Starting process rollout_proc3 | |
| [2023-07-04 15:26:57,885][17091] Starting process rollout_proc4 | |
| [2023-07-04 15:26:57,885][17091] Starting process rollout_proc5 | |
| [2023-07-04 15:26:57,885][17091] Starting process rollout_proc6 | |
| [2023-07-04 15:26:57,885][17091] Starting process rollout_proc7 | |
| [2023-07-04 15:27:07,723][17772] Worker 7 uses CPU cores [1] | |
| [2023-07-04 15:27:07,994][17752] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:27:07,995][17752] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for learning process 0 | |
| [2023-07-04 15:27:08,047][17769] Worker 1 uses CPU cores [1] | |
| [2023-07-04 15:27:08,077][17752] Num visible devices: 1 | |
| [2023-07-04 15:27:08,099][17752] Starting seed is not provided | |
| [2023-07-04 15:27:08,100][17752] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:27:08,103][17752] Initializing actor-critic model on device cuda:0 | |
| [2023-07-04 15:27:08,103][17752] RunningMeanStd input shape: (3, 72, 128) | |
| [2023-07-04 15:27:08,104][17752] RunningMeanStd input shape: (1,) | |
| [2023-07-04 15:27:08,245][17752] ConvEncoder: input_channels=3 | |
| [2023-07-04 15:27:08,494][17765] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:27:08,496][17771] Worker 6 uses CPU cores [0] | |
| [2023-07-04 15:27:08,497][17765] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for inference process 0 | |
| [2023-07-04 15:27:08,553][17765] Num visible devices: 1 | |
| [2023-07-04 15:27:08,605][17768] Worker 3 uses CPU cores [1] | |
| [2023-07-04 15:27:08,639][17766] Worker 0 uses CPU cores [0] | |
| [2023-07-04 15:27:08,641][17770] Worker 4 uses CPU cores [0] | |
| [2023-07-04 15:27:08,647][17767] Worker 2 uses CPU cores [0] | |
| [2023-07-04 15:27:08,690][17773] Worker 5 uses CPU cores [1] | |
| [2023-07-04 15:27:08,762][17752] Conv encoder output size: 512 | |
| [2023-07-04 15:27:08,763][17752] Policy head output size: 512 | |
| [2023-07-04 15:27:08,787][17752] Created Actor Critic model with architecture: | |
| [2023-07-04 15:27:08,788][17752] ActorCriticSharedWeights( | |
| (obs_normalizer): ObservationNormalizer( | |
| (running_mean_std): RunningMeanStdDictInPlace( | |
| (running_mean_std): ModuleDict( | |
| (obs): RunningMeanStdInPlace() | |
| ) | |
| ) | |
| ) | |
| (returns_normalizer): RecursiveScriptModule(original_name=RunningMeanStdInPlace) | |
| (encoder): VizdoomEncoder( | |
| (basic_encoder): ConvEncoder( | |
| (enc): RecursiveScriptModule( | |
| original_name=ConvEncoderImpl | |
| (conv_head): RecursiveScriptModule( | |
| original_name=Sequential | |
| (0): RecursiveScriptModule(original_name=Conv2d) | |
| (1): RecursiveScriptModule(original_name=ELU) | |
| (2): RecursiveScriptModule(original_name=Conv2d) | |
| (3): RecursiveScriptModule(original_name=ELU) | |
| (4): RecursiveScriptModule(original_name=Conv2d) | |
| (5): RecursiveScriptModule(original_name=ELU) | |
| ) | |
| (mlp_layers): RecursiveScriptModule( | |
| original_name=Sequential | |
| (0): RecursiveScriptModule(original_name=Linear) | |
| (1): RecursiveScriptModule(original_name=ELU) | |
| ) | |
| ) | |
| ) | |
| ) | |
| (core): ModelCoreRNN( | |
| (core): GRU(512, 512) | |
| ) | |
| (decoder): MlpDecoder( | |
| (mlp): Identity() | |
| ) | |
| (critic_linear): Linear(in_features=512, out_features=1, bias=True) | |
| (action_parameterization): ActionParameterizationDefault( | |
| (distribution_linear): Linear(in_features=512, out_features=5, bias=True) | |
| ) | |
| ) | |
| [2023-07-04 15:27:10,523][17752] Using optimizer <class 'torch.optim.adam.Adam'> | |
| [2023-07-04 15:27:10,525][17752] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000230_942080.pth... | |
| [2023-07-04 15:27:10,566][17752] Loading model from checkpoint | |
| [2023-07-04 15:27:10,572][17752] Loaded experiment state at self.train_step=230, self.env_steps=942080 | |
| [2023-07-04 15:27:10,573][17752] Initialized policy 0 weights for model version 230 | |
| [2023-07-04 15:27:10,583][17752] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-07-04 15:27:10,590][17752] LearnerWorker_p0 finished initialization! | |
| [2023-07-04 15:27:10,791][17765] RunningMeanStd input shape: (3, 72, 128) | |
| [2023-07-04 15:27:10,792][17765] RunningMeanStd input shape: (1,) | |
| [2023-07-04 15:27:10,824][17765] ConvEncoder: input_channels=3 | |
| [2023-07-04 15:27:10,989][17765] Conv encoder output size: 512 | |
| [2023-07-04 15:27:10,990][17765] Policy head output size: 512 | |
| [2023-07-04 15:27:11,061][17091] Fps is (10 sec: nan, 60 sec: nan, 300 sec: nan). Total num frames: 942080. Throughput: 0: nan. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0) | |
| [2023-07-04 15:27:12,899][17091] Inference worker 0-0 is ready! | |
| [2023-07-04 15:27:12,902][17091] All inference workers are ready! Signal rollout workers to start! | |
| [2023-07-04 15:27:13,041][17768] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-07-04 15:27:13,039][17773] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-07-04 15:27:13,051][17769] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-07-04 15:27:13,054][17772] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-07-04 15:27:13,107][17767] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-07-04 15:27:13,096][17766] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-07-04 15:27:13,116][17770] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-07-04 15:27:13,121][17771] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-07-04 15:27:14,009][17767] Decorrelating experience for 0 frames... | |
| [2023-07-04 15:27:14,012][17766] Decorrelating experience for 0 frames... | |
| [2023-07-04 15:27:14,426][17770] Decorrelating experience for 0 frames... | |
| [2023-07-04 15:27:14,724][17773] Decorrelating experience for 0 frames... | |
| [2023-07-04 15:27:14,748][17772] Decorrelating experience for 0 frames... | |
| [2023-07-04 15:27:14,754][17768] Decorrelating experience for 0 frames... | |
| [2023-07-04 15:27:14,751][17769] Decorrelating experience for 0 frames... | |
| [2023-07-04 15:27:14,926][17770] Decorrelating experience for 32 frames... | |
| [2023-07-04 15:27:16,047][17771] Decorrelating experience for 0 frames... | |
| [2023-07-04 15:27:16,061][17091] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 942080. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0) | |
| [2023-07-04 15:27:16,087][17767] Decorrelating experience for 32 frames... | |
| [2023-07-04 15:27:16,085][17766] Decorrelating experience for 32 frames... | |
| [2023-07-04 15:27:16,290][17769] Decorrelating experience for 32 frames... | |
| [2023-07-04 15:27:16,299][17768] Decorrelating experience for 32 frames... | |
| [2023-07-04 15:27:16,302][17772] Decorrelating experience for 32 frames... | |
| [2023-07-04 15:27:16,609][17773] Decorrelating experience for 32 frames... | |
| [2023-07-04 15:27:17,269][17771] Decorrelating experience for 32 frames... | |
| [2023-07-04 15:27:17,477][17772] Decorrelating experience for 64 frames... | |
| [2023-07-04 15:27:17,481][17768] Decorrelating experience for 64 frames... | |
| [2023-07-04 15:27:17,490][17767] Decorrelating experience for 64 frames... | |
| [2023-07-04 15:27:17,503][17766] Decorrelating experience for 64 frames... | |
| [2023-07-04 15:27:17,785][17091] Heartbeat connected on Batcher_0 | |
| [2023-07-04 15:27:17,790][17091] Heartbeat connected on LearnerWorker_p0 | |
| [2023-07-04 15:27:17,838][17091] Heartbeat connected on InferenceWorker_p0-w0 | |
| [2023-07-04 15:27:18,404][17771] Decorrelating experience for 64 frames... | |
| [2023-07-04 15:27:18,423][17773] Decorrelating experience for 64 frames... | |
| [2023-07-04 15:27:18,428][17769] Decorrelating experience for 64 frames... | |
| [2023-07-04 15:27:18,458][17767] Decorrelating experience for 96 frames... | |
| [2023-07-04 15:27:18,669][17091] Heartbeat connected on RolloutWorker_w2 | |
| [2023-07-04 15:27:19,771][17772] Decorrelating experience for 96 frames... | |
| [2023-07-04 15:27:19,776][17768] Decorrelating experience for 96 frames... | |
| [2023-07-04 15:27:19,988][17769] Decorrelating experience for 96 frames... | |
| [2023-07-04 15:27:20,168][17091] Heartbeat connected on RolloutWorker_w7 | |
| [2023-07-04 15:27:20,206][17091] Heartbeat connected on RolloutWorker_w3 | |
| [2023-07-04 15:27:20,580][17091] Heartbeat connected on RolloutWorker_w1 | |
| [2023-07-04 15:27:21,061][17091] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 942080. Throughput: 0: 1.2. Samples: 12. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0) | |
| [2023-07-04 15:27:21,063][17091] Avg episode reward: [(0, '0.640')] | |
| [2023-07-04 15:27:21,111][17770] Decorrelating experience for 64 frames... | |
| [2023-07-04 15:27:21,245][17771] Decorrelating experience for 96 frames... | |
| [2023-07-04 15:27:21,585][17091] Heartbeat connected on RolloutWorker_w6 | |
| [2023-07-04 15:27:22,697][17773] Decorrelating experience for 96 frames... | |
| [2023-07-04 15:27:23,487][17091] Heartbeat connected on RolloutWorker_w5 | |
| [2023-07-04 15:27:24,202][17752] Signal inference workers to stop experience collection... | |
| [2023-07-04 15:27:24,224][17765] InferenceWorker_p0-w0: stopping experience collection | |
| [2023-07-04 15:27:24,569][17770] Decorrelating experience for 96 frames... | |
| [2023-07-04 15:27:24,775][17091] Heartbeat connected on RolloutWorker_w4 | |
| [2023-07-04 15:27:24,918][17766] Decorrelating experience for 96 frames... | |
| [2023-07-04 15:27:25,019][17752] Signal inference workers to resume experience collection... | |
| [2023-07-04 15:27:25,020][17765] InferenceWorker_p0-w0: resuming experience collection | |
| [2023-07-04 15:27:25,290][17091] Heartbeat connected on RolloutWorker_w0 | |
| [2023-07-04 15:27:26,061][17091] Fps is (10 sec: 409.6, 60 sec: 273.1, 300 sec: 273.1). Total num frames: 946176. Throughput: 0: 147.1. Samples: 2206. Policy #0 lag: (min: 0.0, avg: 0.0, max: 0.0) | |
| [2023-07-04 15:27:26,066][17091] Avg episode reward: [(0, '3.416')] | |
| [2023-07-04 15:27:31,061][17091] Fps is (10 sec: 2048.0, 60 sec: 1024.0, 300 sec: 1024.0). Total num frames: 962560. Throughput: 0: 273.1. Samples: 5462. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2023-07-04 15:27:31,068][17091] Avg episode reward: [(0, '6.261')] | |
| [2023-07-04 15:27:36,061][17091] Fps is (10 sec: 2867.2, 60 sec: 1310.7, 300 sec: 1310.7). Total num frames: 974848. Throughput: 0: 303.0. Samples: 7576. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2023-07-04 15:27:36,071][17091] Avg episode reward: [(0, '10.258')] | |
| [2023-07-04 15:27:37,196][17765] Updated weights for policy 0, policy_version 240 (0.0036) | |
| [2023-07-04 15:27:41,061][17091] Fps is (10 sec: 3686.4, 60 sec: 1911.5, 300 sec: 1911.5). Total num frames: 999424. Throughput: 0: 460.5. Samples: 13816. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2023-07-04 15:27:41,069][17091] Avg episode reward: [(0, '10.577')] | |
| [2023-07-04 15:27:46,061][17091] Fps is (10 sec: 4096.0, 60 sec: 2106.5, 300 sec: 2106.5). Total num frames: 1015808. Throughput: 0: 558.4. Samples: 19544. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-07-04 15:27:46,063][17091] Avg episode reward: [(0, '11.373')] | |
| [2023-07-04 15:27:47,738][17765] Updated weights for policy 0, policy_version 250 (0.0015) | |
| [2023-07-04 15:27:51,061][17091] Fps is (10 sec: 3276.8, 60 sec: 2252.8, 300 sec: 2252.8). Total num frames: 1032192. Throughput: 0: 541.8. Samples: 21670. Policy #0 lag: (min: 0.0, avg: 0.3, max: 1.0) | |
| [2023-07-04 15:27:51,063][17091] Avg episode reward: [(0, '12.366')] | |
| [2023-07-04 15:27:51,071][17752] Saving new best policy, reward=12.366! | |
| [2023-07-04 15:27:56,061][17091] Fps is (10 sec: 2867.2, 60 sec: 2275.6, 300 sec: 2275.6). Total num frames: 1044480. Throughput: 0: 577.3. Samples: 25978. Policy #0 lag: (min: 0.0, avg: 0.3, max: 1.0) | |
| [2023-07-04 15:27:56,068][17091] Avg episode reward: [(0, '11.984')] | |
| [2023-07-04 15:28:01,063][17091] Fps is (10 sec: 2866.5, 60 sec: 2375.6, 300 sec: 2375.6). Total num frames: 1060864. Throughput: 0: 687.3. Samples: 30928. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2023-07-04 15:28:01,070][17091] Avg episode reward: [(0, '12.085')] | |
| [2023-07-04 15:28:01,385][17765] Updated weights for policy 0, policy_version 260 (0.0013) | |
| [2023-07-04 15:28:06,061][17091] Fps is (10 sec: 3686.4, 60 sec: 2532.1, 300 sec: 2532.1). Total num frames: 1081344. Throughput: 0: 758.7. Samples: 34154. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2023-07-04 15:28:06,063][17091] Avg episode reward: [(0, '12.578')] | |
| [2023-07-04 15:28:06,071][17752] Saving new best policy, reward=12.578! | |
| [2023-07-04 15:28:11,061][17091] Fps is (10 sec: 3277.5, 60 sec: 2525.9, 300 sec: 2525.9). Total num frames: 1093632. Throughput: 0: 790.4. Samples: 37776. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2023-07-04 15:28:11,063][17091] Avg episode reward: [(0, '12.210')] | |
| [2023-07-04 15:28:14,024][17091] Keyboard interrupt detected in the event loop EvtLoop [Runner_EvtLoop, process=main process 17091], exiting... | |
| [2023-07-04 15:28:14,026][17091] Runner profile tree view: | |
| main_loop: 76.2025 | |
| [2023-07-04 15:28:14,028][17752] Stopping Batcher_0... | |
| [2023-07-04 15:28:14,030][17752] Loop batcher_evt_loop terminating... | |
| [2023-07-04 15:28:14,028][17091] Collected {0: 1101824}, FPS: 2096.3 | |
| [2023-07-04 15:28:14,030][17752] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000269_1101824.pth... | |
| [2023-07-04 15:28:14,048][17768] EvtLoop [rollout_proc3_evt_loop, process=rollout_proc3] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance3'), args=(1, 0) | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts | |
| complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 634, in advance_rollouts | |
| new_obs, rewards, terminated, truncated, infos = e.step(actions) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 408, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 129, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 117, in step | |
| obs, info["reset_info"] = self.env.reset() | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/scenario_wrappers/gathering_reward_shaping.py", line 30, in reset | |
| return self.env.reset(**kwargs) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 462, in reset | |
| obs, info = self.env.reset(seed=seed, options=options) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/envs/env_wrappers.py", line 82, in reset | |
| obs, info = self.env.reset(**kwargs) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 414, in reset | |
| return self.env.reset(seed=seed, options=options) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 51, in reset | |
| return self.env.reset(**kwargs) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/doom_gym.py", line 346, in reset | |
| self.game.new_episode() | |
| vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed. | |
| [2023-07-04 15:28:14,144][17768] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc3_evt_loop | |
| [2023-07-04 15:28:14,156][17765] Weights refcount: 2 0 | |
| [2023-07-04 15:28:14,086][17773] EvtLoop [rollout_proc5_evt_loop, process=rollout_proc5] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance5'), args=(0, 0) | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts | |
| complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 634, in advance_rollouts | |
| new_obs, rewards, terminated, truncated, infos = e.step(actions) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 408, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 129, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 115, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/scenario_wrappers/gathering_reward_shaping.py", line 33, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 469, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/envs/env_wrappers.py", line 86, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 408, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step | |
| reward = self.game.make_action(actions_flattened, self.skip_frames) | |
| vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed. | |
| [2023-07-04 15:28:14,176][17765] Stopping InferenceWorker_p0-w0... | |
| [2023-07-04 15:28:14,178][17765] Loop inference_proc0-0_evt_loop terminating... | |
| [2023-07-04 15:28:14,179][17767] EvtLoop [rollout_proc2_evt_loop, process=rollout_proc2] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance2'), args=(1, 0) | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts | |
| complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 634, in advance_rollouts | |
| new_obs, rewards, terminated, truncated, infos = e.step(actions) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 408, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 129, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 115, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/scenario_wrappers/gathering_reward_shaping.py", line 33, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 469, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/envs/env_wrappers.py", line 86, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 408, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step | |
| reward = self.game.make_action(actions_flattened, self.skip_frames) | |
| vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed. | |
| [2023-07-04 15:28:14,164][17773] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc5_evt_loop | |
| [2023-07-04 15:28:14,107][17769] EvtLoop [rollout_proc1_evt_loop, process=rollout_proc1] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance1'), args=(1, 0) | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts | |
| complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 634, in advance_rollouts | |
| new_obs, rewards, terminated, truncated, infos = e.step(actions) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 408, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 129, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 115, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/scenario_wrappers/gathering_reward_shaping.py", line 33, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 469, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/envs/env_wrappers.py", line 86, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 408, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step | |
| reward = self.game.make_action(actions_flattened, self.skip_frames) | |
| vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed. | |
| [2023-07-04 15:28:14,214][17769] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc1_evt_loop | |
| [2023-07-04 15:28:14,203][17770] EvtLoop [rollout_proc4_evt_loop, process=rollout_proc4] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance4'), args=(1, 0) | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts | |
| complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 634, in advance_rollouts | |
| new_obs, rewards, terminated, truncated, infos = e.step(actions) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 408, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 129, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 115, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/scenario_wrappers/gathering_reward_shaping.py", line 33, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 469, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/envs/env_wrappers.py", line 86, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 408, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step | |
| reward = self.game.make_action(actions_flattened, self.skip_frames) | |
| vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed. | |
| [2023-07-04 15:28:14,215][17770] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc4_evt_loop | |
| [2023-07-04 15:28:14,146][17772] EvtLoop [rollout_proc7_evt_loop, process=rollout_proc7] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance7'), args=(0, 0) | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts | |
| complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 634, in advance_rollouts | |
| new_obs, rewards, terminated, truncated, infos = e.step(actions) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 408, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 129, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 115, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/scenario_wrappers/gathering_reward_shaping.py", line 33, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 469, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/envs/env_wrappers.py", line 86, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 408, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step | |
| reward = self.game.make_action(actions_flattened, self.skip_frames) | |
| vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed. | |
| [2023-07-04 15:28:14,220][17772] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc7_evt_loop | |
| [2023-07-04 15:28:14,208][17766] EvtLoop [rollout_proc0_evt_loop, process=rollout_proc0] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance0'), args=(0, 0) | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts | |
| complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 634, in advance_rollouts | |
| new_obs, rewards, terminated, truncated, infos = e.step(actions) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 408, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 129, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 115, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/scenario_wrappers/gathering_reward_shaping.py", line 33, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 469, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/envs/env_wrappers.py", line 86, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 408, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step | |
| reward = self.game.make_action(actions_flattened, self.skip_frames) | |
| vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed. | |
| [2023-07-04 15:28:14,226][17766] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc0_evt_loop | |
| [2023-07-04 15:28:14,181][17767] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc2_evt_loop | |
| [2023-07-04 15:28:14,352][17771] EvtLoop [rollout_proc6_evt_loop, process=rollout_proc6] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance6'), args=(1, 0) | |
| Traceback (most recent call last): | |
| File "/usr/local/lib/python3.10/dist-packages/signal_slot/signal_slot.py", line 355, in _process_signal | |
| slot_callable(*args) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts | |
| complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 634, in advance_rollouts | |
| new_obs, rewards, terminated, truncated, infos = e.step(actions) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 408, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 129, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/algo/utils/make_env.py", line 115, in step | |
| obs, rew, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/scenario_wrappers/gathering_reward_shaping.py", line 33, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 469, in step | |
| observation, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sample_factory/envs/env_wrappers.py", line 86, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/gymnasium/core.py", line 408, in step | |
| return self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step | |
| obs, reward, terminated, truncated, info = self.env.step(action) | |
| File "/usr/local/lib/python3.10/dist-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step | |
| reward = self.game.make_action(actions_flattened, self.skip_frames) | |
| vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed. | |
| [2023-07-04 15:28:14,354][17771] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc6_evt_loop | |
| [2023-07-04 15:28:14,472][17752] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000178_729088.pth | |
| [2023-07-04 15:28:14,514][17752] Stopping LearnerWorker_p0... | |
| [2023-07-04 15:28:14,523][17752] Loop learner_proc0_evt_loop terminating... | |