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Browse files
.summary/0/events.out.tfevents.1687185373.ef5da5cad0fc
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:0726bff962eaadb3aa4b8947bf39bce6f48e7b337940a5a019d19884f54c1f9b
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| 3 |
+
size 377220
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README.md
CHANGED
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@@ -15,7 +15,7 @@ model-index:
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type: doom_health_gathering_supreme
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| 16 |
metrics:
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| 17 |
- type: mean_reward
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| 18 |
-
value:
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name: mean_reward
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verified: false
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| 21 |
---
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| 15 |
type: doom_health_gathering_supreme
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| 16 |
metrics:
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| 17 |
- type: mean_reward
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| 18 |
+
value: 12.30 +/- 5.13
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| 19 |
name: mean_reward
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| 20 |
verified: false
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| 21 |
---
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checkpoint_p0/best_000001434_5873664_reward_32.907.pth
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:5ee5d9c59ccb4599623a1a1f4a6bc125a21be0fca8d914f73f46a78952bc91de
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| 3 |
+
size 34928806
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checkpoint_p0/checkpoint_000001391_5697536.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:55cce6f97c0fb78b2dd3262726bab94f0057f94d5db7ef745bb3ddab6234df06
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| 3 |
+
size 34929220
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checkpoint_p0/checkpoint_000001466_6004736.pth
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:9f5e11039190ba8d79d6b1f2c57075ae5e02f88a26283feadf385aeeedc7d0d6
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| 3 |
+
size 34929220
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config.json
CHANGED
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@@ -15,7 +15,7 @@
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"worker_num_splits": 2,
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"policy_workers_per_policy": 1,
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| 17 |
"max_policy_lag": 1000,
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| 18 |
-
"num_workers":
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"num_envs_per_worker": 4,
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"batch_size": 1024,
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"num_batches_per_epoch": 1,
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@@ -65,7 +65,7 @@
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"summaries_use_frameskip": true,
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"heartbeat_interval": 20,
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"heartbeat_reporting_interval": 600,
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-
"train_for_env_steps":
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"train_for_seconds": 10000000000,
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"save_every_sec": 120,
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"keep_checkpoints": 2,
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"worker_num_splits": 2,
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"policy_workers_per_policy": 1,
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"max_policy_lag": 1000,
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"num_workers": 12,
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"num_envs_per_worker": 4,
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"batch_size": 1024,
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"num_batches_per_epoch": 1,
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"summaries_use_frameskip": true,
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"heartbeat_interval": 20,
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| 67 |
"heartbeat_reporting_interval": 600,
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+
"train_for_env_steps": 6000000,
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| 69 |
"train_for_seconds": 10000000000,
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"save_every_sec": 120,
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| 71 |
"keep_checkpoints": 2,
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replay.mp4
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:fc33ef7087242f543de77a26e7e628509f453921dd653ee7ebbbe6803d9d30c5
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size 24051363
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sf_log.txt
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@@ -1697,3 +1697,887 @@ main_loop: 1130.5358
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| 1697 |
[2023-06-19 14:34:04,916][00753] Avg episode rewards: #0: 25.293, true rewards: #0: 10.793
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[2023-06-19 14:34:04,918][00753] Avg episode reward: 25.293, avg true_objective: 10.793
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| 1699 |
[2023-06-19 14:35:11,109][00753] Replay video saved to /content/train_dir/default_experiment/replay.mp4!
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|
| 1697 |
[2023-06-19 14:34:04,916][00753] Avg episode rewards: #0: 25.293, true rewards: #0: 10.793
|
| 1698 |
[2023-06-19 14:34:04,918][00753] Avg episode reward: 25.293, avg true_objective: 10.793
|
| 1699 |
[2023-06-19 14:35:11,109][00753] Replay video saved to /content/train_dir/default_experiment/replay.mp4!
|
| 1700 |
+
[2023-06-19 14:35:14,170][00753] The model has been pushed to https://huggingface.co/Ditrip/rl_course_vizdoom_health_gathering_supreme
|
| 1701 |
+
[2023-06-19 14:36:13,295][00753] Environment doom_basic already registered, overwriting...
|
| 1702 |
+
[2023-06-19 14:36:13,298][00753] Environment doom_two_colors_easy already registered, overwriting...
|
| 1703 |
+
[2023-06-19 14:36:13,299][00753] Environment doom_two_colors_hard already registered, overwriting...
|
| 1704 |
+
[2023-06-19 14:36:13,300][00753] Environment doom_dm already registered, overwriting...
|
| 1705 |
+
[2023-06-19 14:36:13,302][00753] Environment doom_dwango5 already registered, overwriting...
|
| 1706 |
+
[2023-06-19 14:36:13,303][00753] Environment doom_my_way_home_flat_actions already registered, overwriting...
|
| 1707 |
+
[2023-06-19 14:36:13,304][00753] Environment doom_defend_the_center_flat_actions already registered, overwriting...
|
| 1708 |
+
[2023-06-19 14:36:13,306][00753] Environment doom_my_way_home already registered, overwriting...
|
| 1709 |
+
[2023-06-19 14:36:13,307][00753] Environment doom_deadly_corridor already registered, overwriting...
|
| 1710 |
+
[2023-06-19 14:36:13,308][00753] Environment doom_defend_the_center already registered, overwriting...
|
| 1711 |
+
[2023-06-19 14:36:13,310][00753] Environment doom_defend_the_line already registered, overwriting...
|
| 1712 |
+
[2023-06-19 14:36:13,311][00753] Environment doom_health_gathering already registered, overwriting...
|
| 1713 |
+
[2023-06-19 14:36:13,312][00753] Environment doom_health_gathering_supreme already registered, overwriting...
|
| 1714 |
+
[2023-06-19 14:36:13,314][00753] Environment doom_battle already registered, overwriting...
|
| 1715 |
+
[2023-06-19 14:36:13,315][00753] Environment doom_battle2 already registered, overwriting...
|
| 1716 |
+
[2023-06-19 14:36:13,316][00753] Environment doom_duel_bots already registered, overwriting...
|
| 1717 |
+
[2023-06-19 14:36:13,318][00753] Environment doom_deathmatch_bots already registered, overwriting...
|
| 1718 |
+
[2023-06-19 14:36:13,319][00753] Environment doom_duel already registered, overwriting...
|
| 1719 |
+
[2023-06-19 14:36:13,320][00753] Environment doom_deathmatch_full already registered, overwriting...
|
| 1720 |
+
[2023-06-19 14:36:13,322][00753] Environment doom_benchmark already registered, overwriting...
|
| 1721 |
+
[2023-06-19 14:36:13,323][00753] register_encoder_factory: <function make_vizdoom_encoder at 0x7f1cb360c4c0>
|
| 1722 |
+
[2023-06-19 14:36:13,349][00753] Loading existing experiment configuration from /content/train_dir/default_experiment/config.json
|
| 1723 |
+
[2023-06-19 14:36:13,351][00753] Overriding arg 'num_workers' with value 12 passed from command line
|
| 1724 |
+
[2023-06-19 14:36:13,352][00753] Overriding arg 'train_for_env_steps' with value 6000000 passed from command line
|
| 1725 |
+
[2023-06-19 14:36:13,357][00753] Experiment dir /content/train_dir/default_experiment already exists!
|
| 1726 |
+
[2023-06-19 14:36:13,362][00753] Resuming existing experiment from /content/train_dir/default_experiment...
|
| 1727 |
+
[2023-06-19 14:36:13,363][00753] Weights and Biases integration disabled
|
| 1728 |
+
[2023-06-19 14:36:13,366][00753] Environment var CUDA_VISIBLE_DEVICES is 0
|
| 1729 |
+
|
| 1730 |
+
[2023-06-19 14:36:15,416][00753] Starting experiment with the following configuration:
|
| 1731 |
+
help=False
|
| 1732 |
+
algo=APPO
|
| 1733 |
+
env=doom_health_gathering_supreme
|
| 1734 |
+
experiment=default_experiment
|
| 1735 |
+
train_dir=/content/train_dir
|
| 1736 |
+
restart_behavior=resume
|
| 1737 |
+
device=gpu
|
| 1738 |
+
seed=None
|
| 1739 |
+
num_policies=1
|
| 1740 |
+
async_rl=True
|
| 1741 |
+
serial_mode=False
|
| 1742 |
+
batched_sampling=False
|
| 1743 |
+
num_batches_to_accumulate=2
|
| 1744 |
+
worker_num_splits=2
|
| 1745 |
+
policy_workers_per_policy=1
|
| 1746 |
+
max_policy_lag=1000
|
| 1747 |
+
num_workers=12
|
| 1748 |
+
num_envs_per_worker=4
|
| 1749 |
+
batch_size=1024
|
| 1750 |
+
num_batches_per_epoch=1
|
| 1751 |
+
num_epochs=1
|
| 1752 |
+
rollout=32
|
| 1753 |
+
recurrence=32
|
| 1754 |
+
shuffle_minibatches=False
|
| 1755 |
+
gamma=0.99
|
| 1756 |
+
reward_scale=1.0
|
| 1757 |
+
reward_clip=1000.0
|
| 1758 |
+
value_bootstrap=False
|
| 1759 |
+
normalize_returns=True
|
| 1760 |
+
exploration_loss_coeff=0.001
|
| 1761 |
+
value_loss_coeff=0.5
|
| 1762 |
+
kl_loss_coeff=0.0
|
| 1763 |
+
exploration_loss=symmetric_kl
|
| 1764 |
+
gae_lambda=0.95
|
| 1765 |
+
ppo_clip_ratio=0.1
|
| 1766 |
+
ppo_clip_value=0.2
|
| 1767 |
+
with_vtrace=False
|
| 1768 |
+
vtrace_rho=1.0
|
| 1769 |
+
vtrace_c=1.0
|
| 1770 |
+
optimizer=adam
|
| 1771 |
+
adam_eps=1e-06
|
| 1772 |
+
adam_beta1=0.9
|
| 1773 |
+
adam_beta2=0.999
|
| 1774 |
+
max_grad_norm=4.0
|
| 1775 |
+
learning_rate=0.0001
|
| 1776 |
+
lr_schedule=constant
|
| 1777 |
+
lr_schedule_kl_threshold=0.008
|
| 1778 |
+
lr_adaptive_min=1e-06
|
| 1779 |
+
lr_adaptive_max=0.01
|
| 1780 |
+
obs_subtract_mean=0.0
|
| 1781 |
+
obs_scale=255.0
|
| 1782 |
+
normalize_input=True
|
| 1783 |
+
normalize_input_keys=None
|
| 1784 |
+
decorrelate_experience_max_seconds=0
|
| 1785 |
+
decorrelate_envs_on_one_worker=True
|
| 1786 |
+
actor_worker_gpus=[]
|
| 1787 |
+
set_workers_cpu_affinity=True
|
| 1788 |
+
force_envs_single_thread=False
|
| 1789 |
+
default_niceness=0
|
| 1790 |
+
log_to_file=True
|
| 1791 |
+
experiment_summaries_interval=10
|
| 1792 |
+
flush_summaries_interval=30
|
| 1793 |
+
stats_avg=100
|
| 1794 |
+
summaries_use_frameskip=True
|
| 1795 |
+
heartbeat_interval=20
|
| 1796 |
+
heartbeat_reporting_interval=600
|
| 1797 |
+
train_for_env_steps=6000000
|
| 1798 |
+
train_for_seconds=10000000000
|
| 1799 |
+
save_every_sec=120
|
| 1800 |
+
keep_checkpoints=2
|
| 1801 |
+
load_checkpoint_kind=latest
|
| 1802 |
+
save_milestones_sec=-1
|
| 1803 |
+
save_best_every_sec=5
|
| 1804 |
+
save_best_metric=reward
|
| 1805 |
+
save_best_after=100000
|
| 1806 |
+
benchmark=False
|
| 1807 |
+
encoder_mlp_layers=[512, 512]
|
| 1808 |
+
encoder_conv_architecture=convnet_simple
|
| 1809 |
+
encoder_conv_mlp_layers=[512]
|
| 1810 |
+
use_rnn=True
|
| 1811 |
+
rnn_size=512
|
| 1812 |
+
rnn_type=gru
|
| 1813 |
+
rnn_num_layers=1
|
| 1814 |
+
decoder_mlp_layers=[]
|
| 1815 |
+
nonlinearity=elu
|
| 1816 |
+
policy_initialization=orthogonal
|
| 1817 |
+
policy_init_gain=1.0
|
| 1818 |
+
actor_critic_share_weights=True
|
| 1819 |
+
adaptive_stddev=True
|
| 1820 |
+
continuous_tanh_scale=0.0
|
| 1821 |
+
initial_stddev=1.0
|
| 1822 |
+
use_env_info_cache=False
|
| 1823 |
+
env_gpu_actions=False
|
| 1824 |
+
env_gpu_observations=True
|
| 1825 |
+
env_frameskip=4
|
| 1826 |
+
env_framestack=1
|
| 1827 |
+
pixel_format=CHW
|
| 1828 |
+
use_record_episode_statistics=False
|
| 1829 |
+
with_wandb=False
|
| 1830 |
+
wandb_user=None
|
| 1831 |
+
wandb_project=sample_factory
|
| 1832 |
+
wandb_group=None
|
| 1833 |
+
wandb_job_type=SF
|
| 1834 |
+
wandb_tags=[]
|
| 1835 |
+
with_pbt=False
|
| 1836 |
+
pbt_mix_policies_in_one_env=True
|
| 1837 |
+
pbt_period_env_steps=5000000
|
| 1838 |
+
pbt_start_mutation=20000000
|
| 1839 |
+
pbt_replace_fraction=0.3
|
| 1840 |
+
pbt_mutation_rate=0.15
|
| 1841 |
+
pbt_replace_reward_gap=0.1
|
| 1842 |
+
pbt_replace_reward_gap_absolute=1e-06
|
| 1843 |
+
pbt_optimize_gamma=False
|
| 1844 |
+
pbt_target_objective=true_objective
|
| 1845 |
+
pbt_perturb_min=1.1
|
| 1846 |
+
pbt_perturb_max=1.5
|
| 1847 |
+
num_agents=-1
|
| 1848 |
+
num_humans=0
|
| 1849 |
+
num_bots=-1
|
| 1850 |
+
start_bot_difficulty=None
|
| 1851 |
+
timelimit=None
|
| 1852 |
+
res_w=128
|
| 1853 |
+
res_h=72
|
| 1854 |
+
wide_aspect_ratio=False
|
| 1855 |
+
eval_env_frameskip=1
|
| 1856 |
+
fps=35
|
| 1857 |
+
command_line=--env=doom_health_gathering_supreme --num_workers=8 --num_envs_per_worker=4 --train_for_env_steps=4000000
|
| 1858 |
+
cli_args={'env': 'doom_health_gathering_supreme', 'num_workers': 8, 'num_envs_per_worker': 4, 'train_for_env_steps': 4000000}
|
| 1859 |
+
git_hash=unknown
|
| 1860 |
+
git_repo_name=not a git repository
|
| 1861 |
+
[2023-06-19 14:36:15,418][00753] Saving configuration to /content/train_dir/default_experiment/config.json...
|
| 1862 |
+
[2023-06-19 14:36:15,423][00753] Rollout worker 0 uses device cpu
|
| 1863 |
+
[2023-06-19 14:36:15,425][00753] Rollout worker 1 uses device cpu
|
| 1864 |
+
[2023-06-19 14:36:15,427][00753] Rollout worker 2 uses device cpu
|
| 1865 |
+
[2023-06-19 14:36:15,429][00753] Rollout worker 3 uses device cpu
|
| 1866 |
+
[2023-06-19 14:36:15,430][00753] Rollout worker 4 uses device cpu
|
| 1867 |
+
[2023-06-19 14:36:15,431][00753] Rollout worker 5 uses device cpu
|
| 1868 |
+
[2023-06-19 14:36:15,432][00753] Rollout worker 6 uses device cpu
|
| 1869 |
+
[2023-06-19 14:36:15,434][00753] Rollout worker 7 uses device cpu
|
| 1870 |
+
[2023-06-19 14:36:15,435][00753] Rollout worker 8 uses device cpu
|
| 1871 |
+
[2023-06-19 14:36:15,436][00753] Rollout worker 9 uses device cpu
|
| 1872 |
+
[2023-06-19 14:36:15,437][00753] Rollout worker 10 uses device cpu
|
| 1873 |
+
[2023-06-19 14:36:15,439][00753] Rollout worker 11 uses device cpu
|
| 1874 |
+
[2023-06-19 14:36:15,557][00753] Using GPUs [0] for process 0 (actually maps to GPUs [0])
|
| 1875 |
+
[2023-06-19 14:36:15,560][00753] InferenceWorker_p0-w0: min num requests: 4
|
| 1876 |
+
[2023-06-19 14:36:15,607][00753] Starting all processes...
|
| 1877 |
+
[2023-06-19 14:36:15,608][00753] Starting process learner_proc0
|
| 1878 |
+
[2023-06-19 14:36:15,657][00753] Starting all processes...
|
| 1879 |
+
[2023-06-19 14:36:15,663][00753] Starting process inference_proc0-0
|
| 1880 |
+
[2023-06-19 14:36:15,665][00753] Starting process rollout_proc0
|
| 1881 |
+
[2023-06-19 14:36:15,679][00753] Starting process rollout_proc1
|
| 1882 |
+
[2023-06-19 14:36:15,680][00753] Starting process rollout_proc2
|
| 1883 |
+
[2023-06-19 14:36:15,680][00753] Starting process rollout_proc3
|
| 1884 |
+
[2023-06-19 14:36:15,680][00753] Starting process rollout_proc4
|
| 1885 |
+
[2023-06-19 14:36:15,680][00753] Starting process rollout_proc5
|
| 1886 |
+
[2023-06-19 14:36:15,680][00753] Starting process rollout_proc6
|
| 1887 |
+
[2023-06-19 14:36:15,680][00753] Starting process rollout_proc7
|
| 1888 |
+
[2023-06-19 14:36:15,680][00753] Starting process rollout_proc8
|
| 1889 |
+
[2023-06-19 14:36:15,680][00753] Starting process rollout_proc9
|
| 1890 |
+
[2023-06-19 14:36:15,680][00753] Starting process rollout_proc10
|
| 1891 |
+
[2023-06-19 14:36:15,680][00753] Starting process rollout_proc11
|
| 1892 |
+
[2023-06-19 14:36:39,488][22299] Worker 3 uses CPU cores [1]
|
| 1893 |
+
[2023-06-19 14:36:39,604][00753] Heartbeat connected on RolloutWorker_w3
|
| 1894 |
+
[2023-06-19 14:36:39,792][22310] Worker 9 uses CPU cores [1]
|
| 1895 |
+
[2023-06-19 14:36:39,977][22295] Using GPUs [0] for process 0 (actually maps to GPUs [0])
|
| 1896 |
+
[2023-06-19 14:36:39,981][22295] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for inference process 0
|
| 1897 |
+
[2023-06-19 14:36:40,008][22303] Worker 8 uses CPU cores [0]
|
| 1898 |
+
[2023-06-19 14:36:40,015][22311] Worker 11 uses CPU cores [1]
|
| 1899 |
+
[2023-06-19 14:36:40,044][00753] Heartbeat connected on RolloutWorker_w9
|
| 1900 |
+
[2023-06-19 14:36:40,062][22295] Num visible devices: 1
|
| 1901 |
+
[2023-06-19 14:36:40,068][22300] Worker 4 uses CPU cores [0]
|
| 1902 |
+
[2023-06-19 14:36:40,079][22297] Worker 1 uses CPU cores [1]
|
| 1903 |
+
[2023-06-19 14:36:40,084][00753] Heartbeat connected on InferenceWorker_p0-w0
|
| 1904 |
+
[2023-06-19 14:36:40,083][22278] Using GPUs [0] for process 0 (actually maps to GPUs [0])
|
| 1905 |
+
[2023-06-19 14:36:40,087][22278] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for learning process 0
|
| 1906 |
+
[2023-06-19 14:36:40,088][22296] Worker 0 uses CPU cores [0]
|
| 1907 |
+
[2023-06-19 14:36:40,116][22309] Worker 10 uses CPU cores [0]
|
| 1908 |
+
[2023-06-19 14:36:40,119][22304] Worker 7 uses CPU cores [1]
|
| 1909 |
+
[2023-06-19 14:36:40,127][00753] Heartbeat connected on RolloutWorker_w8
|
| 1910 |
+
[2023-06-19 14:36:40,132][22298] Worker 2 uses CPU cores [0]
|
| 1911 |
+
[2023-06-19 14:36:40,135][22278] Num visible devices: 1
|
| 1912 |
+
[2023-06-19 14:36:40,151][22302] Worker 6 uses CPU cores [0]
|
| 1913 |
+
[2023-06-19 14:36:40,156][00753] Heartbeat connected on RolloutWorker_w0
|
| 1914 |
+
[2023-06-19 14:36:40,157][00753] Heartbeat connected on RolloutWorker_w4
|
| 1915 |
+
[2023-06-19 14:36:40,161][00753] Heartbeat connected on RolloutWorker_w10
|
| 1916 |
+
[2023-06-19 14:36:40,169][00753] Heartbeat connected on RolloutWorker_w11
|
| 1917 |
+
[2023-06-19 14:36:40,176][22278] Starting seed is not provided
|
| 1918 |
+
[2023-06-19 14:36:40,177][22278] Using GPUs [0] for process 0 (actually maps to GPUs [0])
|
| 1919 |
+
[2023-06-19 14:36:40,178][22278] Initializing actor-critic model on device cuda:0
|
| 1920 |
+
[2023-06-19 14:36:40,176][00753] Heartbeat connected on RolloutWorker_w2
|
| 1921 |
+
[2023-06-19 14:36:40,178][22278] RunningMeanStd input shape: (3, 72, 128)
|
| 1922 |
+
[2023-06-19 14:36:40,182][22278] RunningMeanStd input shape: (1,)
|
| 1923 |
+
[2023-06-19 14:36:40,181][00753] Heartbeat connected on RolloutWorker_w6
|
| 1924 |
+
[2023-06-19 14:36:40,183][00753] Heartbeat connected on RolloutWorker_w7
|
| 1925 |
+
[2023-06-19 14:36:40,187][00753] Heartbeat connected on RolloutWorker_w1
|
| 1926 |
+
[2023-06-19 14:36:40,194][00753] Heartbeat connected on Batcher_0
|
| 1927 |
+
[2023-06-19 14:36:40,213][22278] ConvEncoder: input_channels=3
|
| 1928 |
+
[2023-06-19 14:36:40,248][22301] Worker 5 uses CPU cores [1]
|
| 1929 |
+
[2023-06-19 14:36:40,259][00753] Heartbeat connected on RolloutWorker_w5
|
| 1930 |
+
[2023-06-19 14:36:40,355][22278] Conv encoder output size: 512
|
| 1931 |
+
[2023-06-19 14:36:40,356][22278] Policy head output size: 512
|
| 1932 |
+
[2023-06-19 14:36:40,375][22278] Created Actor Critic model with architecture:
|
| 1933 |
+
[2023-06-19 14:36:40,376][22278] ActorCriticSharedWeights(
|
| 1934 |
+
(obs_normalizer): ObservationNormalizer(
|
| 1935 |
+
(running_mean_std): RunningMeanStdDictInPlace(
|
| 1936 |
+
(running_mean_std): ModuleDict(
|
| 1937 |
+
(obs): RunningMeanStdInPlace()
|
| 1938 |
+
)
|
| 1939 |
+
)
|
| 1940 |
+
)
|
| 1941 |
+
(returns_normalizer): RecursiveScriptModule(original_name=RunningMeanStdInPlace)
|
| 1942 |
+
(encoder): VizdoomEncoder(
|
| 1943 |
+
(basic_encoder): ConvEncoder(
|
| 1944 |
+
(enc): RecursiveScriptModule(
|
| 1945 |
+
original_name=ConvEncoderImpl
|
| 1946 |
+
(conv_head): RecursiveScriptModule(
|
| 1947 |
+
original_name=Sequential
|
| 1948 |
+
(0): RecursiveScriptModule(original_name=Conv2d)
|
| 1949 |
+
(1): RecursiveScriptModule(original_name=ELU)
|
| 1950 |
+
(2): RecursiveScriptModule(original_name=Conv2d)
|
| 1951 |
+
(3): RecursiveScriptModule(original_name=ELU)
|
| 1952 |
+
(4): RecursiveScriptModule(original_name=Conv2d)
|
| 1953 |
+
(5): RecursiveScriptModule(original_name=ELU)
|
| 1954 |
+
)
|
| 1955 |
+
(mlp_layers): RecursiveScriptModule(
|
| 1956 |
+
original_name=Sequential
|
| 1957 |
+
(0): RecursiveScriptModule(original_name=Linear)
|
| 1958 |
+
(1): RecursiveScriptModule(original_name=ELU)
|
| 1959 |
+
)
|
| 1960 |
+
)
|
| 1961 |
+
)
|
| 1962 |
+
)
|
| 1963 |
+
(core): ModelCoreRNN(
|
| 1964 |
+
(core): GRU(512, 512)
|
| 1965 |
+
)
|
| 1966 |
+
(decoder): MlpDecoder(
|
| 1967 |
+
(mlp): Identity()
|
| 1968 |
+
)
|
| 1969 |
+
(critic_linear): Linear(in_features=512, out_features=1, bias=True)
|
| 1970 |
+
(action_parameterization): ActionParameterizationDefault(
|
| 1971 |
+
(distribution_linear): Linear(in_features=512, out_features=5, bias=True)
|
| 1972 |
+
)
|
| 1973 |
+
)
|
| 1974 |
+
[2023-06-19 14:36:40,600][22278] Using optimizer <class 'torch.optim.adam.Adam'>
|
| 1975 |
+
[2023-06-19 14:36:40,601][22278] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000978_4005888.pth...
|
| 1976 |
+
[2023-06-19 14:36:40,636][22278] Loading model from checkpoint
|
| 1977 |
+
[2023-06-19 14:36:40,641][22278] Loaded experiment state at self.train_step=978, self.env_steps=4005888
|
| 1978 |
+
[2023-06-19 14:36:40,641][22278] Initialized policy 0 weights for model version 978
|
| 1979 |
+
[2023-06-19 14:36:40,648][22278] LearnerWorker_p0 finished initialization!
|
| 1980 |
+
[2023-06-19 14:36:40,649][22278] Using GPUs [0] for process 0 (actually maps to GPUs [0])
|
| 1981 |
+
[2023-06-19 14:36:40,650][00753] Heartbeat connected on LearnerWorker_p0
|
| 1982 |
+
[2023-06-19 14:36:40,856][22295] RunningMeanStd input shape: (3, 72, 128)
|
| 1983 |
+
[2023-06-19 14:36:40,857][22295] RunningMeanStd input shape: (1,)
|
| 1984 |
+
[2023-06-19 14:36:40,870][22295] ConvEncoder: input_channels=3
|
| 1985 |
+
[2023-06-19 14:36:40,978][22295] Conv encoder output size: 512
|
| 1986 |
+
[2023-06-19 14:36:40,979][22295] Policy head output size: 512
|
| 1987 |
+
[2023-06-19 14:36:41,041][00753] Inference worker 0-0 is ready!
|
| 1988 |
+
[2023-06-19 14:36:41,042][00753] All inference workers are ready! Signal rollout workers to start!
|
| 1989 |
+
[2023-06-19 14:36:41,214][22309] Doom resolution: 160x120, resize resolution: (128, 72)
|
| 1990 |
+
[2023-06-19 14:36:41,233][22297] Doom resolution: 160x120, resize resolution: (128, 72)
|
| 1991 |
+
[2023-06-19 14:36:41,241][22301] Doom resolution: 160x120, resize resolution: (128, 72)
|
| 1992 |
+
[2023-06-19 14:36:41,243][22304] Doom resolution: 160x120, resize resolution: (128, 72)
|
| 1993 |
+
[2023-06-19 14:36:41,246][22311] Doom resolution: 160x120, resize resolution: (128, 72)
|
| 1994 |
+
[2023-06-19 14:36:41,243][22296] Doom resolution: 160x120, resize resolution: (128, 72)
|
| 1995 |
+
[2023-06-19 14:36:41,247][22298] Doom resolution: 160x120, resize resolution: (128, 72)
|
| 1996 |
+
[2023-06-19 14:36:41,259][22300] Doom resolution: 160x120, resize resolution: (128, 72)
|
| 1997 |
+
[2023-06-19 14:36:41,264][22310] Doom resolution: 160x120, resize resolution: (128, 72)
|
| 1998 |
+
[2023-06-19 14:36:41,258][22302] Doom resolution: 160x120, resize resolution: (128, 72)
|
| 1999 |
+
[2023-06-19 14:36:41,266][22299] Doom resolution: 160x120, resize resolution: (128, 72)
|
| 2000 |
+
[2023-06-19 14:36:41,263][22303] Doom resolution: 160x120, resize resolution: (128, 72)
|
| 2001 |
+
[2023-06-19 14:36:43,083][22298] Decorrelating experience for 0 frames...
|
| 2002 |
+
[2023-06-19 14:36:43,087][22300] Decorrelating experience for 0 frames...
|
| 2003 |
+
[2023-06-19 14:36:43,088][22309] Decorrelating experience for 0 frames...
|
| 2004 |
+
[2023-06-19 14:36:43,247][22310] Decorrelating experience for 0 frames...
|
| 2005 |
+
[2023-06-19 14:36:43,249][22304] Decorrelating experience for 0 frames...
|
| 2006 |
+
[2023-06-19 14:36:43,254][22301] Decorrelating experience for 0 frames...
|
| 2007 |
+
[2023-06-19 14:36:43,257][22297] Decorrelating experience for 0 frames...
|
| 2008 |
+
[2023-06-19 14:36:43,259][22299] Decorrelating experience for 0 frames...
|
| 2009 |
+
[2023-06-19 14:36:43,367][00753] Fps is (10 sec: nan, 60 sec: nan, 300 sec: nan). Total num frames: 4005888. Throughput: 0: nan. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
|
| 2010 |
+
[2023-06-19 14:36:44,486][22299] Decorrelating experience for 32 frames...
|
| 2011 |
+
[2023-06-19 14:36:44,488][22297] Decorrelating experience for 32 frames...
|
| 2012 |
+
[2023-06-19 14:36:44,495][22310] Decorrelating experience for 32 frames...
|
| 2013 |
+
[2023-06-19 14:36:44,539][22300] Decorrelating experience for 32 frames...
|
| 2014 |
+
[2023-06-19 14:36:44,537][22309] Decorrelating experience for 32 frames...
|
| 2015 |
+
[2023-06-19 14:36:44,992][22302] Decorrelating experience for 0 frames...
|
| 2016 |
+
[2023-06-19 14:36:44,995][22303] Decorrelating experience for 0 frames...
|
| 2017 |
+
[2023-06-19 14:36:46,139][22304] Decorrelating experience for 32 frames...
|
| 2018 |
+
[2023-06-19 14:36:46,160][22301] Decorrelating experience for 32 frames...
|
| 2019 |
+
[2023-06-19 14:36:46,208][22296] Decorrelating experience for 0 frames...
|
| 2020 |
+
[2023-06-19 14:36:46,406][22297] Decorrelating experience for 64 frames...
|
| 2021 |
+
[2023-06-19 14:36:46,417][22310] Decorrelating experience for 64 frames...
|
| 2022 |
+
[2023-06-19 14:36:46,457][22300] Decorrelating experience for 64 frames...
|
| 2023 |
+
[2023-06-19 14:36:46,646][22303] Decorrelating experience for 32 frames...
|
| 2024 |
+
[2023-06-19 14:36:46,648][22298] Decorrelating experience for 32 frames...
|
| 2025 |
+
[2023-06-19 14:36:47,782][22311] Decorrelating experience for 0 frames...
|
| 2026 |
+
[2023-06-19 14:36:47,868][22296] Decorrelating experience for 32 frames...
|
| 2027 |
+
[2023-06-19 14:36:48,045][22310] Decorrelating experience for 96 frames...
|
| 2028 |
+
[2023-06-19 14:36:48,108][22302] Decorrelating experience for 32 frames...
|
| 2029 |
+
[2023-06-19 14:36:48,207][22304] Decorrelating experience for 64 frames...
|
| 2030 |
+
[2023-06-19 14:36:48,270][22299] Decorrelating experience for 64 frames...
|
| 2031 |
+
[2023-06-19 14:36:48,367][00753] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 4005888. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
|
| 2032 |
+
[2023-06-19 14:36:48,555][22298] Decorrelating experience for 64 frames...
|
| 2033 |
+
[2023-06-19 14:36:48,556][22303] Decorrelating experience for 64 frames...
|
| 2034 |
+
[2023-06-19 14:36:49,352][22311] Decorrelating experience for 32 frames...
|
| 2035 |
+
[2023-06-19 14:36:49,587][22304] Decorrelating experience for 96 frames...
|
| 2036 |
+
[2023-06-19 14:36:49,707][22300] Decorrelating experience for 96 frames...
|
| 2037 |
+
[2023-06-19 14:36:49,714][22296] Decorrelating experience for 64 frames...
|
| 2038 |
+
[2023-06-19 14:36:50,839][22298] Decorrelating experience for 96 frames...
|
| 2039 |
+
[2023-06-19 14:36:52,493][22302] Decorrelating experience for 64 frames...
|
| 2040 |
+
[2023-06-19 14:36:53,370][00753] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 4005888. Throughput: 0: 125.2. Samples: 1252. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
|
| 2041 |
+
[2023-06-19 14:36:53,372][00753] Avg episode reward: [(0, '4.357')]
|
| 2042 |
+
[2023-06-19 14:36:53,446][22299] Decorrelating experience for 96 frames...
|
| 2043 |
+
[2023-06-19 14:36:54,089][22311] Decorrelating experience for 64 frames...
|
| 2044 |
+
[2023-06-19 14:36:54,305][22303] Decorrelating experience for 96 frames...
|
| 2045 |
+
[2023-06-19 14:36:54,934][22296] Decorrelating experience for 96 frames...
|
| 2046 |
+
[2023-06-19 14:36:58,366][00753] Fps is (10 sec: 409.6, 60 sec: 273.1, 300 sec: 273.1). Total num frames: 4009984. Throughput: 0: 131.5. Samples: 1972. Policy #0 lag: (min: 0.0, avg: 0.0, max: 0.0)
|
| 2047 |
+
[2023-06-19 14:36:58,373][00753] Avg episode reward: [(0, '6.364')]
|
| 2048 |
+
[2023-06-19 14:36:58,720][22301] Decorrelating experience for 64 frames...
|
| 2049 |
+
[2023-06-19 14:37:00,102][22278] Signal inference workers to stop experience collection...
|
| 2050 |
+
[2023-06-19 14:37:00,136][22295] InferenceWorker_p0-w0: stopping experience collection
|
| 2051 |
+
[2023-06-19 14:37:00,246][22278] Signal inference workers to resume experience collection...
|
| 2052 |
+
[2023-06-19 14:37:00,248][22295] InferenceWorker_p0-w0: resuming experience collection
|
| 2053 |
+
[2023-06-19 14:37:00,881][22311] Decorrelating experience for 96 frames...
|
| 2054 |
+
[2023-06-19 14:37:01,859][22309] Decorrelating experience for 64 frames...
|
| 2055 |
+
[2023-06-19 14:37:02,338][22302] Decorrelating experience for 96 frames...
|
| 2056 |
+
[2023-06-19 14:37:03,369][00753] Fps is (10 sec: 2048.2, 60 sec: 1023.9, 300 sec: 1023.9). Total num frames: 4026368. Throughput: 0: 228.6. Samples: 4572. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2057 |
+
[2023-06-19 14:37:03,372][00753] Avg episode reward: [(0, '7.372')]
|
| 2058 |
+
[2023-06-19 14:37:06,350][22309] Decorrelating experience for 96 frames...
|
| 2059 |
+
[2023-06-19 14:37:06,391][22297] Decorrelating experience for 96 frames...
|
| 2060 |
+
[2023-06-19 14:37:07,239][22301] Decorrelating experience for 96 frames...
|
| 2061 |
+
[2023-06-19 14:37:08,366][00753] Fps is (10 sec: 3276.8, 60 sec: 1474.6, 300 sec: 1474.6). Total num frames: 4042752. Throughput: 0: 388.1. Samples: 9702. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0)
|
| 2062 |
+
[2023-06-19 14:37:08,371][00753] Avg episode reward: [(0, '10.755')]
|
| 2063 |
+
[2023-06-19 14:37:09,179][22295] Updated weights for policy 0, policy_version 988 (0.0024)
|
| 2064 |
+
[2023-06-19 14:37:13,366][00753] Fps is (10 sec: 3687.3, 60 sec: 1911.5, 300 sec: 1911.5). Total num frames: 4063232. Throughput: 0: 442.4. Samples: 13272. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2065 |
+
[2023-06-19 14:37:13,373][00753] Avg episode reward: [(0, '12.563')]
|
| 2066 |
+
[2023-06-19 14:37:18,366][00753] Fps is (10 sec: 3686.4, 60 sec: 2106.5, 300 sec: 2106.5). Total num frames: 4079616. Throughput: 0: 521.0. Samples: 18236. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2067 |
+
[2023-06-19 14:37:18,369][00753] Avg episode reward: [(0, '14.803')]
|
| 2068 |
+
[2023-06-19 14:37:20,866][22295] Updated weights for policy 0, policy_version 998 (0.0012)
|
| 2069 |
+
[2023-06-19 14:37:23,367][00753] Fps is (10 sec: 2867.1, 60 sec: 2150.4, 300 sec: 2150.4). Total num frames: 4091904. Throughput: 0: 576.4. Samples: 23056. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2070 |
+
[2023-06-19 14:37:23,374][00753] Avg episode reward: [(0, '18.143')]
|
| 2071 |
+
[2023-06-19 14:37:28,366][00753] Fps is (10 sec: 3686.4, 60 sec: 2457.6, 300 sec: 2457.6). Total num frames: 4116480. Throughput: 0: 577.7. Samples: 25996. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2072 |
+
[2023-06-19 14:37:28,369][00753] Avg episode reward: [(0, '19.802')]
|
| 2073 |
+
[2023-06-19 14:37:30,628][22295] Updated weights for policy 0, policy_version 1008 (0.0013)
|
| 2074 |
+
[2023-06-19 14:37:33,367][00753] Fps is (10 sec: 4915.3, 60 sec: 2703.4, 300 sec: 2703.4). Total num frames: 4141056. Throughput: 0: 738.5. Samples: 33232. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2075 |
+
[2023-06-19 14:37:33,373][00753] Avg episode reward: [(0, '22.458')]
|
| 2076 |
+
[2023-06-19 14:37:38,366][00753] Fps is (10 sec: 4096.0, 60 sec: 2755.5, 300 sec: 2755.5). Total num frames: 4157440. Throughput: 0: 837.6. Samples: 38942. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2077 |
+
[2023-06-19 14:37:38,376][00753] Avg episode reward: [(0, '23.440')]
|
| 2078 |
+
[2023-06-19 14:37:41,628][22295] Updated weights for policy 0, policy_version 1018 (0.0027)
|
| 2079 |
+
[2023-06-19 14:37:43,366][00753] Fps is (10 sec: 3276.8, 60 sec: 2798.9, 300 sec: 2798.9). Total num frames: 4173824. Throughput: 0: 875.1. Samples: 41350. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2080 |
+
[2023-06-19 14:37:43,374][00753] Avg episode reward: [(0, '24.698')]
|
| 2081 |
+
[2023-06-19 14:37:48,366][00753] Fps is (10 sec: 3276.8, 60 sec: 3072.0, 300 sec: 2835.7). Total num frames: 4190208. Throughput: 0: 922.5. Samples: 46084. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2082 |
+
[2023-06-19 14:37:48,376][00753] Avg episode reward: [(0, '27.588')]
|
| 2083 |
+
[2023-06-19 14:37:51,962][22295] Updated weights for policy 0, policy_version 1028 (0.0016)
|
| 2084 |
+
[2023-06-19 14:37:53,367][00753] Fps is (10 sec: 4096.0, 60 sec: 3481.8, 300 sec: 2984.2). Total num frames: 4214784. Throughput: 0: 967.2. Samples: 53226. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2085 |
+
[2023-06-19 14:37:53,380][00753] Avg episode reward: [(0, '25.768')]
|
| 2086 |
+
[2023-06-19 14:37:58,369][00753] Fps is (10 sec: 4504.5, 60 sec: 3754.5, 300 sec: 3058.2). Total num frames: 4235264. Throughput: 0: 967.6. Samples: 56816. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2087 |
+
[2023-06-19 14:37:58,371][00753] Avg episode reward: [(0, '25.108')]
|
| 2088 |
+
[2023-06-19 14:38:02,515][22295] Updated weights for policy 0, policy_version 1038 (0.0011)
|
| 2089 |
+
[2023-06-19 14:38:03,367][00753] Fps is (10 sec: 3686.4, 60 sec: 3754.8, 300 sec: 3072.0). Total num frames: 4251648. Throughput: 0: 971.7. Samples: 61964. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2090 |
+
[2023-06-19 14:38:03,373][00753] Avg episode reward: [(0, '25.022')]
|
| 2091 |
+
[2023-06-19 14:38:08,366][00753] Fps is (10 sec: 3277.6, 60 sec: 3754.7, 300 sec: 3084.0). Total num frames: 4268032. Throughput: 0: 969.5. Samples: 66682. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2092 |
+
[2023-06-19 14:38:08,371][00753] Avg episode reward: [(0, '25.362')]
|
| 2093 |
+
[2023-06-19 14:38:13,367][00753] Fps is (10 sec: 3686.4, 60 sec: 3754.7, 300 sec: 3140.3). Total num frames: 4288512. Throughput: 0: 965.4. Samples: 69440. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2094 |
+
[2023-06-19 14:38:13,374][00753] Avg episode reward: [(0, '24.075')]
|
| 2095 |
+
[2023-06-19 14:38:13,384][22278] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001047_4288512.pth...
|
| 2096 |
+
[2023-06-19 14:38:13,516][22278] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000933_3821568.pth
|
| 2097 |
+
[2023-06-19 14:38:13,731][22295] Updated weights for policy 0, policy_version 1048 (0.0035)
|
| 2098 |
+
[2023-06-19 14:38:18,366][00753] Fps is (10 sec: 4505.6, 60 sec: 3891.2, 300 sec: 3233.7). Total num frames: 4313088. Throughput: 0: 962.4. Samples: 76540. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2099 |
+
[2023-06-19 14:38:18,368][00753] Avg episode reward: [(0, '25.057')]
|
| 2100 |
+
[2023-06-19 14:38:23,350][22295] Updated weights for policy 0, policy_version 1058 (0.0020)
|
| 2101 |
+
[2023-06-19 14:38:23,367][00753] Fps is (10 sec: 4505.6, 60 sec: 4027.7, 300 sec: 3276.8). Total num frames: 4333568. Throughput: 0: 968.5. Samples: 82526. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2102 |
+
[2023-06-19 14:38:23,369][00753] Avg episode reward: [(0, '25.397')]
|
| 2103 |
+
[2023-06-19 14:38:28,366][00753] Fps is (10 sec: 3276.8, 60 sec: 3822.9, 300 sec: 3237.8). Total num frames: 4345856. Throughput: 0: 967.2. Samples: 84874. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2104 |
+
[2023-06-19 14:38:28,372][00753] Avg episode reward: [(0, '25.798')]
|
| 2105 |
+
[2023-06-19 14:38:33,366][00753] Fps is (10 sec: 2867.2, 60 sec: 3686.4, 300 sec: 3239.6). Total num frames: 4362240. Throughput: 0: 968.5. Samples: 89666. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2106 |
+
[2023-06-19 14:38:33,369][00753] Avg episode reward: [(0, '26.800')]
|
| 2107 |
+
[2023-06-19 14:38:34,887][22295] Updated weights for policy 0, policy_version 1068 (0.0021)
|
| 2108 |
+
[2023-06-19 14:38:38,366][00753] Fps is (10 sec: 4096.0, 60 sec: 3822.9, 300 sec: 3312.4). Total num frames: 4386816. Throughput: 0: 966.7. Samples: 96728. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2109 |
+
[2023-06-19 14:38:38,373][00753] Avg episode reward: [(0, '26.468')]
|
| 2110 |
+
[2023-06-19 14:38:43,367][00753] Fps is (10 sec: 4915.2, 60 sec: 3959.5, 300 sec: 3379.2). Total num frames: 4411392. Throughput: 0: 967.6. Samples: 100356. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2111 |
+
[2023-06-19 14:38:43,373][00753] Avg episode reward: [(0, '28.813')]
|
| 2112 |
+
[2023-06-19 14:38:44,016][22295] Updated weights for policy 0, policy_version 1078 (0.0012)
|
| 2113 |
+
[2023-06-19 14:38:48,366][00753] Fps is (10 sec: 4096.0, 60 sec: 3959.5, 300 sec: 3375.1). Total num frames: 4427776. Throughput: 0: 972.0. Samples: 105706. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2114 |
+
[2023-06-19 14:38:48,373][00753] Avg episode reward: [(0, '29.018')]
|
| 2115 |
+
[2023-06-19 14:38:53,369][00753] Fps is (10 sec: 3275.9, 60 sec: 3822.8, 300 sec: 3371.3). Total num frames: 4444160. Throughput: 0: 973.0. Samples: 110472. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2116 |
+
[2023-06-19 14:38:53,374][00753] Avg episode reward: [(0, '27.659')]
|
| 2117 |
+
[2023-06-19 14:38:56,289][22295] Updated weights for policy 0, policy_version 1088 (0.0022)
|
| 2118 |
+
[2023-06-19 14:38:58,367][00753] Fps is (10 sec: 3686.4, 60 sec: 3823.1, 300 sec: 3398.2). Total num frames: 4464640. Throughput: 0: 970.4. Samples: 113108. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2119 |
+
[2023-06-19 14:38:58,372][00753] Avg episode reward: [(0, '28.410')]
|
| 2120 |
+
[2023-06-19 14:39:03,367][00753] Fps is (10 sec: 4506.9, 60 sec: 3959.5, 300 sec: 3452.3). Total num frames: 4489216. Throughput: 0: 971.8. Samples: 120270. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2121 |
+
[2023-06-19 14:39:03,373][00753] Avg episode reward: [(0, '27.645')]
|
| 2122 |
+
[2023-06-19 14:39:04,933][22295] Updated weights for policy 0, policy_version 1098 (0.0017)
|
| 2123 |
+
[2023-06-19 14:39:08,367][00753] Fps is (10 sec: 4096.0, 60 sec: 3959.5, 300 sec: 3446.3). Total num frames: 4505600. Throughput: 0: 973.9. Samples: 126350. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2124 |
+
[2023-06-19 14:39:08,373][00753] Avg episode reward: [(0, '24.769')]
|
| 2125 |
+
[2023-06-19 14:39:13,368][00753] Fps is (10 sec: 3276.5, 60 sec: 3891.1, 300 sec: 3440.6). Total num frames: 4521984. Throughput: 0: 973.1. Samples: 128664. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2126 |
+
[2023-06-19 14:39:13,371][00753] Avg episode reward: [(0, '24.195')]
|
| 2127 |
+
[2023-06-19 14:39:17,415][22295] Updated weights for policy 0, policy_version 1108 (0.0025)
|
| 2128 |
+
[2023-06-19 14:39:18,367][00753] Fps is (10 sec: 3276.8, 60 sec: 3754.7, 300 sec: 3435.4). Total num frames: 4538368. Throughput: 0: 973.0. Samples: 133452. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2129 |
+
[2023-06-19 14:39:18,369][00753] Avg episode reward: [(0, '23.530')]
|
| 2130 |
+
[2023-06-19 14:39:23,367][00753] Fps is (10 sec: 4096.4, 60 sec: 3822.9, 300 sec: 3481.6). Total num frames: 4562944. Throughput: 0: 974.4. Samples: 140578. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2131 |
+
[2023-06-19 14:39:23,373][00753] Avg episode reward: [(0, '22.835')]
|
| 2132 |
+
[2023-06-19 14:39:26,090][22295] Updated weights for policy 0, policy_version 1118 (0.0020)
|
| 2133 |
+
[2023-06-19 14:39:28,367][00753] Fps is (10 sec: 4915.2, 60 sec: 4027.7, 300 sec: 3525.0). Total num frames: 4587520. Throughput: 0: 974.7. Samples: 144218. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2134 |
+
[2023-06-19 14:39:28,375][00753] Avg episode reward: [(0, '23.982')]
|
| 2135 |
+
[2023-06-19 14:39:33,367][00753] Fps is (10 sec: 4095.9, 60 sec: 4027.7, 300 sec: 3517.7). Total num frames: 4603904. Throughput: 0: 978.8. Samples: 149754. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2136 |
+
[2023-06-19 14:39:33,369][00753] Avg episode reward: [(0, '24.738')]
|
| 2137 |
+
[2023-06-19 14:39:38,103][22295] Updated weights for policy 0, policy_version 1128 (0.0012)
|
| 2138 |
+
[2023-06-19 14:39:38,366][00753] Fps is (10 sec: 3276.8, 60 sec: 3891.2, 300 sec: 3510.9). Total num frames: 4620288. Throughput: 0: 979.4. Samples: 154540. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2139 |
+
[2023-06-19 14:39:38,369][00753] Avg episode reward: [(0, '24.929')]
|
| 2140 |
+
[2023-06-19 14:39:43,367][00753] Fps is (10 sec: 3686.4, 60 sec: 3822.9, 300 sec: 3527.1). Total num frames: 4640768. Throughput: 0: 981.4. Samples: 157270. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2141 |
+
[2023-06-19 14:39:43,373][00753] Avg episode reward: [(0, '24.468')]
|
| 2142 |
+
[2023-06-19 14:39:47,183][22295] Updated weights for policy 0, policy_version 1138 (0.0033)
|
| 2143 |
+
[2023-06-19 14:39:48,366][00753] Fps is (10 sec: 4505.6, 60 sec: 3959.5, 300 sec: 3564.6). Total num frames: 4665344. Throughput: 0: 983.2. Samples: 164512. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2144 |
+
[2023-06-19 14:39:48,369][00753] Avg episode reward: [(0, '26.204')]
|
| 2145 |
+
[2023-06-19 14:39:53,367][00753] Fps is (10 sec: 4505.6, 60 sec: 4027.9, 300 sec: 3578.6). Total num frames: 4685824. Throughput: 0: 987.2. Samples: 170774. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2146 |
+
[2023-06-19 14:39:53,373][00753] Avg episode reward: [(0, '26.814')]
|
| 2147 |
+
[2023-06-19 14:39:57,949][22295] Updated weights for policy 0, policy_version 1148 (0.0058)
|
| 2148 |
+
[2023-06-19 14:39:58,366][00753] Fps is (10 sec: 3686.4, 60 sec: 3959.5, 300 sec: 3570.9). Total num frames: 4702208. Throughput: 0: 987.9. Samples: 173120. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2149 |
+
[2023-06-19 14:39:58,372][00753] Avg episode reward: [(0, '25.868')]
|
| 2150 |
+
[2023-06-19 14:40:03,367][00753] Fps is (10 sec: 3276.8, 60 sec: 3822.9, 300 sec: 3563.5). Total num frames: 4718592. Throughput: 0: 989.6. Samples: 177984. Policy #0 lag: (min: 0.0, avg: 1.0, max: 2.0)
|
| 2151 |
+
[2023-06-19 14:40:03,369][00753] Avg episode reward: [(0, '26.029')]
|
| 2152 |
+
[2023-06-19 14:40:08,366][00753] Fps is (10 sec: 3686.4, 60 sec: 3891.2, 300 sec: 3576.5). Total num frames: 4739072. Throughput: 0: 983.1. Samples: 184818. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2153 |
+
[2023-06-19 14:40:08,370][00753] Avg episode reward: [(0, '27.939')]
|
| 2154 |
+
[2023-06-19 14:40:08,387][22295] Updated weights for policy 0, policy_version 1158 (0.0032)
|
| 2155 |
+
[2023-06-19 14:40:13,367][00753] Fps is (10 sec: 4505.5, 60 sec: 4027.8, 300 sec: 3608.4). Total num frames: 4763648. Throughput: 0: 981.5. Samples: 188384. Policy #0 lag: (min: 0.0, avg: 1.0, max: 2.0)
|
| 2156 |
+
[2023-06-19 14:40:13,376][00753] Avg episode reward: [(0, '27.435')]
|
| 2157 |
+
[2023-06-19 14:40:13,386][22278] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001163_4763648.pth...
|
| 2158 |
+
[2023-06-19 14:40:13,564][22278] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000978_4005888.pth
|
| 2159 |
+
[2023-06-19 14:40:18,366][00753] Fps is (10 sec: 4096.0, 60 sec: 4027.7, 300 sec: 3600.7). Total num frames: 4780032. Throughput: 0: 980.7. Samples: 193886. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2160 |
+
[2023-06-19 14:40:18,372][00753] Avg episode reward: [(0, '26.868')]
|
| 2161 |
+
[2023-06-19 14:40:19,029][22295] Updated weights for policy 0, policy_version 1168 (0.0032)
|
| 2162 |
+
[2023-06-19 14:40:23,367][00753] Fps is (10 sec: 3276.9, 60 sec: 3891.2, 300 sec: 3593.3). Total num frames: 4796416. Throughput: 0: 979.8. Samples: 198632. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2163 |
+
[2023-06-19 14:40:23,368][00753] Avg episode reward: [(0, '27.007')]
|
| 2164 |
+
[2023-06-19 14:40:28,367][00753] Fps is (10 sec: 3686.3, 60 sec: 3822.9, 300 sec: 3604.5). Total num frames: 4816896. Throughput: 0: 978.0. Samples: 201278. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2165 |
+
[2023-06-19 14:40:28,370][00753] Avg episode reward: [(0, '28.959')]
|
| 2166 |
+
[2023-06-19 14:40:29,866][22295] Updated weights for policy 0, policy_version 1178 (0.0017)
|
| 2167 |
+
[2023-06-19 14:40:33,366][00753] Fps is (10 sec: 4505.6, 60 sec: 3959.5, 300 sec: 3633.0). Total num frames: 4841472. Throughput: 0: 979.7. Samples: 208600. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2168 |
+
[2023-06-19 14:40:33,369][00753] Avg episode reward: [(0, '27.656')]
|
| 2169 |
+
[2023-06-19 14:40:38,366][00753] Fps is (10 sec: 4096.1, 60 sec: 3959.5, 300 sec: 3625.4). Total num frames: 4857856. Throughput: 0: 977.2. Samples: 214746. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0)
|
| 2170 |
+
[2023-06-19 14:40:38,369][00753] Avg episode reward: [(0, '27.204')]
|
| 2171 |
+
[2023-06-19 14:40:39,109][22295] Updated weights for policy 0, policy_version 1188 (0.0026)
|
| 2172 |
+
[2023-06-19 14:40:43,370][00753] Fps is (10 sec: 3685.1, 60 sec: 3959.2, 300 sec: 3635.1). Total num frames: 4878336. Throughput: 0: 979.5. Samples: 217200. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0)
|
| 2173 |
+
[2023-06-19 14:40:43,372][00753] Avg episode reward: [(0, '27.556')]
|
| 2174 |
+
[2023-06-19 14:40:48,366][00753] Fps is (10 sec: 3686.4, 60 sec: 3822.9, 300 sec: 3627.9). Total num frames: 4894720. Throughput: 0: 978.4. Samples: 222010. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2175 |
+
[2023-06-19 14:40:48,371][00753] Avg episode reward: [(0, '27.730')]
|
| 2176 |
+
[2023-06-19 14:40:50,756][22295] Updated weights for policy 0, policy_version 1198 (0.0012)
|
| 2177 |
+
[2023-06-19 14:40:53,366][00753] Fps is (10 sec: 4097.4, 60 sec: 3891.2, 300 sec: 3653.6). Total num frames: 4919296. Throughput: 0: 979.2. Samples: 228884. Policy #0 lag: (min: 0.0, avg: 0.8, max: 3.0)
|
| 2178 |
+
[2023-06-19 14:40:53,374][00753] Avg episode reward: [(0, '26.206')]
|
| 2179 |
+
[2023-06-19 14:40:58,366][00753] Fps is (10 sec: 4915.2, 60 sec: 4027.7, 300 sec: 3678.4). Total num frames: 4943872. Throughput: 0: 980.9. Samples: 232526. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0)
|
| 2180 |
+
[2023-06-19 14:40:58,374][00753] Avg episode reward: [(0, '25.497')]
|
| 2181 |
+
[2023-06-19 14:40:59,940][22295] Updated weights for policy 0, policy_version 1208 (0.0022)
|
| 2182 |
+
[2023-06-19 14:41:03,366][00753] Fps is (10 sec: 3686.4, 60 sec: 3959.5, 300 sec: 3654.9). Total num frames: 4956160. Throughput: 0: 985.7. Samples: 238242. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0)
|
| 2183 |
+
[2023-06-19 14:41:03,369][00753] Avg episode reward: [(0, '25.035')]
|
| 2184 |
+
[2023-06-19 14:41:08,367][00753] Fps is (10 sec: 2867.2, 60 sec: 3891.2, 300 sec: 3647.8). Total num frames: 4972544. Throughput: 0: 988.7. Samples: 243124. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0)
|
| 2185 |
+
[2023-06-19 14:41:08,373][00753] Avg episode reward: [(0, '25.931')]
|
| 2186 |
+
[2023-06-19 14:41:11,788][22295] Updated weights for policy 0, policy_version 1218 (0.0042)
|
| 2187 |
+
[2023-06-19 14:41:13,366][00753] Fps is (10 sec: 3686.4, 60 sec: 3822.9, 300 sec: 3656.1). Total num frames: 4993024. Throughput: 0: 985.4. Samples: 245620. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2188 |
+
[2023-06-19 14:41:13,374][00753] Avg episode reward: [(0, '24.143')]
|
| 2189 |
+
[2023-06-19 14:41:18,367][00753] Fps is (10 sec: 4505.4, 60 sec: 3959.4, 300 sec: 3678.9). Total num frames: 5017600. Throughput: 0: 983.4. Samples: 252852. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2190 |
+
[2023-06-19 14:41:18,369][00753] Avg episode reward: [(0, '25.066')]
|
| 2191 |
+
[2023-06-19 14:41:20,436][22295] Updated weights for policy 0, policy_version 1228 (0.0012)
|
| 2192 |
+
[2023-06-19 14:41:23,367][00753] Fps is (10 sec: 4505.6, 60 sec: 4027.7, 300 sec: 3686.4). Total num frames: 5038080. Throughput: 0: 990.6. Samples: 259322. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2193 |
+
[2023-06-19 14:41:23,369][00753] Avg episode reward: [(0, '26.740')]
|
| 2194 |
+
[2023-06-19 14:41:28,367][00753] Fps is (10 sec: 3686.5, 60 sec: 3959.5, 300 sec: 3679.2). Total num frames: 5054464. Throughput: 0: 990.0. Samples: 261748. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2195 |
+
[2023-06-19 14:41:28,369][00753] Avg episode reward: [(0, '26.941')]
|
| 2196 |
+
[2023-06-19 14:41:32,587][22295] Updated weights for policy 0, policy_version 1238 (0.0012)
|
| 2197 |
+
[2023-06-19 14:41:33,367][00753] Fps is (10 sec: 3276.8, 60 sec: 3822.9, 300 sec: 3672.3). Total num frames: 5070848. Throughput: 0: 990.0. Samples: 266560. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2198 |
+
[2023-06-19 14:41:33,369][00753] Avg episode reward: [(0, '28.274')]
|
| 2199 |
+
[2023-06-19 14:41:38,367][00753] Fps is (10 sec: 4095.9, 60 sec: 3959.4, 300 sec: 3693.3). Total num frames: 5095424. Throughput: 0: 983.9. Samples: 273160. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2200 |
+
[2023-06-19 14:41:38,369][00753] Avg episode reward: [(0, '27.551')]
|
| 2201 |
+
[2023-06-19 14:41:41,510][22295] Updated weights for policy 0, policy_version 1248 (0.0012)
|
| 2202 |
+
[2023-06-19 14:41:43,367][00753] Fps is (10 sec: 4915.2, 60 sec: 4028.0, 300 sec: 3776.7). Total num frames: 5120000. Throughput: 0: 983.6. Samples: 276786. Policy #0 lag: (min: 0.0, avg: 1.0, max: 2.0)
|
| 2203 |
+
[2023-06-19 14:41:43,371][00753] Avg episode reward: [(0, '28.989')]
|
| 2204 |
+
[2023-06-19 14:41:48,366][00753] Fps is (10 sec: 3686.5, 60 sec: 3959.5, 300 sec: 3818.3). Total num frames: 5132288. Throughput: 0: 982.9. Samples: 282472. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2205 |
+
[2023-06-19 14:41:48,369][00753] Avg episode reward: [(0, '27.900')]
|
| 2206 |
+
[2023-06-19 14:41:53,367][00753] Fps is (10 sec: 2867.1, 60 sec: 3822.9, 300 sec: 3860.0). Total num frames: 5148672. Throughput: 0: 981.1. Samples: 287272. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2207 |
+
[2023-06-19 14:41:53,374][00753] Avg episode reward: [(0, '27.637')]
|
| 2208 |
+
[2023-06-19 14:41:53,413][22295] Updated weights for policy 0, policy_version 1258 (0.0012)
|
| 2209 |
+
[2023-06-19 14:41:58,367][00753] Fps is (10 sec: 3686.4, 60 sec: 3754.7, 300 sec: 3873.9). Total num frames: 5169152. Throughput: 0: 979.7. Samples: 289706. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0)
|
| 2210 |
+
[2023-06-19 14:41:58,371][00753] Avg episode reward: [(0, '27.081')]
|
| 2211 |
+
[2023-06-19 14:42:02,707][22295] Updated weights for policy 0, policy_version 1268 (0.0021)
|
| 2212 |
+
[2023-06-19 14:42:03,366][00753] Fps is (10 sec: 4505.8, 60 sec: 3959.5, 300 sec: 3901.6). Total num frames: 5193728. Throughput: 0: 978.9. Samples: 296904. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2213 |
+
[2023-06-19 14:42:03,371][00753] Avg episode reward: [(0, '27.350')]
|
| 2214 |
+
[2023-06-19 14:42:08,366][00753] Fps is (10 sec: 4505.6, 60 sec: 4027.7, 300 sec: 3901.6). Total num frames: 5214208. Throughput: 0: 974.8. Samples: 303186. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2215 |
+
[2023-06-19 14:42:08,370][00753] Avg episode reward: [(0, '27.132')]
|
| 2216 |
+
[2023-06-19 14:42:13,367][00753] Fps is (10 sec: 3686.4, 60 sec: 3959.5, 300 sec: 3901.6). Total num frames: 5230592. Throughput: 0: 974.4. Samples: 305596. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2217 |
+
[2023-06-19 14:42:13,369][00753] Avg episode reward: [(0, '28.582')]
|
| 2218 |
+
[2023-06-19 14:42:13,387][22278] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001277_5230592.pth...
|
| 2219 |
+
[2023-06-19 14:42:13,551][22278] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001047_4288512.pth
|
| 2220 |
+
[2023-06-19 14:42:14,268][22295] Updated weights for policy 0, policy_version 1278 (0.0012)
|
| 2221 |
+
[2023-06-19 14:42:18,367][00753] Fps is (10 sec: 3276.8, 60 sec: 3823.0, 300 sec: 3915.5). Total num frames: 5246976. Throughput: 0: 972.5. Samples: 310324. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2222 |
+
[2023-06-19 14:42:18,372][00753] Avg episode reward: [(0, '28.962')]
|
| 2223 |
+
[2023-06-19 14:42:23,367][00753] Fps is (10 sec: 4096.0, 60 sec: 3891.2, 300 sec: 3915.5). Total num frames: 5271552. Throughput: 0: 976.2. Samples: 317088. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2224 |
+
[2023-06-19 14:42:23,368][00753] Avg episode reward: [(0, '28.250')]
|
| 2225 |
+
[2023-06-19 14:42:24,003][22295] Updated weights for policy 0, policy_version 1288 (0.0019)
|
| 2226 |
+
[2023-06-19 14:42:28,366][00753] Fps is (10 sec: 4915.2, 60 sec: 4027.7, 300 sec: 3915.5). Total num frames: 5296128. Throughput: 0: 976.3. Samples: 320718. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2227 |
+
[2023-06-19 14:42:28,371][00753] Avg episode reward: [(0, '29.213')]
|
| 2228 |
+
[2023-06-19 14:42:33,366][00753] Fps is (10 sec: 4096.0, 60 sec: 4027.7, 300 sec: 3915.5). Total num frames: 5312512. Throughput: 0: 978.7. Samples: 326514. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2229 |
+
[2023-06-19 14:42:33,373][00753] Avg episode reward: [(0, '28.213')]
|
| 2230 |
+
[2023-06-19 14:42:34,383][22295] Updated weights for policy 0, policy_version 1298 (0.0031)
|
| 2231 |
+
[2023-06-19 14:42:38,367][00753] Fps is (10 sec: 3276.7, 60 sec: 3891.2, 300 sec: 3915.5). Total num frames: 5328896. Throughput: 0: 980.9. Samples: 331412. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2232 |
+
[2023-06-19 14:42:38,375][00753] Avg episode reward: [(0, '28.573')]
|
| 2233 |
+
[2023-06-19 14:42:43,367][00753] Fps is (10 sec: 3276.7, 60 sec: 3754.6, 300 sec: 3915.5). Total num frames: 5345280. Throughput: 0: 981.5. Samples: 333876. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2234 |
+
[2023-06-19 14:42:43,369][00753] Avg episode reward: [(0, '27.184')]
|
| 2235 |
+
[2023-06-19 14:42:45,049][22295] Updated weights for policy 0, policy_version 1308 (0.0027)
|
| 2236 |
+
[2023-06-19 14:42:48,366][00753] Fps is (10 sec: 4096.2, 60 sec: 3959.5, 300 sec: 3915.5). Total num frames: 5369856. Throughput: 0: 983.1. Samples: 341142. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2237 |
+
[2023-06-19 14:42:48,368][00753] Avg episode reward: [(0, '28.363')]
|
| 2238 |
+
[2023-06-19 14:42:53,369][00753] Fps is (10 sec: 4504.6, 60 sec: 4027.6, 300 sec: 3915.5). Total num frames: 5390336. Throughput: 0: 988.2. Samples: 347658. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2239 |
+
[2023-06-19 14:42:53,373][00753] Avg episode reward: [(0, '27.651')]
|
| 2240 |
+
[2023-06-19 14:42:54,792][22295] Updated weights for policy 0, policy_version 1318 (0.0014)
|
| 2241 |
+
[2023-06-19 14:42:58,366][00753] Fps is (10 sec: 3686.4, 60 sec: 3959.5, 300 sec: 3915.5). Total num frames: 5406720. Throughput: 0: 987.3. Samples: 350024. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2242 |
+
[2023-06-19 14:42:58,372][00753] Avg episode reward: [(0, '27.618')]
|
| 2243 |
+
[2023-06-19 14:43:03,366][00753] Fps is (10 sec: 3277.6, 60 sec: 3822.9, 300 sec: 3915.5). Total num frames: 5423104. Throughput: 0: 992.0. Samples: 354964. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2244 |
+
[2023-06-19 14:43:03,374][00753] Avg episode reward: [(0, '27.952')]
|
| 2245 |
+
[2023-06-19 14:43:06,170][22295] Updated weights for policy 0, policy_version 1328 (0.0032)
|
| 2246 |
+
[2023-06-19 14:43:08,366][00753] Fps is (10 sec: 4096.0, 60 sec: 3891.2, 300 sec: 3929.4). Total num frames: 5447680. Throughput: 0: 989.9. Samples: 361634. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2247 |
+
[2023-06-19 14:43:08,372][00753] Avg episode reward: [(0, '28.384')]
|
| 2248 |
+
[2023-06-19 14:43:13,367][00753] Fps is (10 sec: 4915.2, 60 sec: 4027.7, 300 sec: 3929.4). Total num frames: 5472256. Throughput: 0: 989.8. Samples: 365260. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2249 |
+
[2023-06-19 14:43:13,372][00753] Avg episode reward: [(0, '27.141')]
|
| 2250 |
+
[2023-06-19 14:43:15,087][22295] Updated weights for policy 0, policy_version 1338 (0.0014)
|
| 2251 |
+
[2023-06-19 14:43:18,366][00753] Fps is (10 sec: 4096.0, 60 sec: 4027.7, 300 sec: 3915.5). Total num frames: 5488640. Throughput: 0: 990.6. Samples: 371090. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2252 |
+
[2023-06-19 14:43:18,369][00753] Avg episode reward: [(0, '26.356')]
|
| 2253 |
+
[2023-06-19 14:43:23,370][00753] Fps is (10 sec: 3275.6, 60 sec: 3891.0, 300 sec: 3929.3). Total num frames: 5505024. Throughput: 0: 987.7. Samples: 375862. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2254 |
+
[2023-06-19 14:43:23,377][00753] Avg episode reward: [(0, '26.087')]
|
| 2255 |
+
[2023-06-19 14:43:27,190][22295] Updated weights for policy 0, policy_version 1348 (0.0021)
|
| 2256 |
+
[2023-06-19 14:43:28,366][00753] Fps is (10 sec: 3686.4, 60 sec: 3822.9, 300 sec: 3943.3). Total num frames: 5525504. Throughput: 0: 987.3. Samples: 378306. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2257 |
+
[2023-06-19 14:43:28,374][00753] Avg episode reward: [(0, '24.648')]
|
| 2258 |
+
[2023-06-19 14:43:33,370][00753] Fps is (10 sec: 4505.8, 60 sec: 3959.3, 300 sec: 3943.2). Total num frames: 5550080. Throughput: 0: 982.6. Samples: 385362. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2259 |
+
[2023-06-19 14:43:33,372][00753] Avg episode reward: [(0, '24.712')]
|
| 2260 |
+
[2023-06-19 14:43:35,812][22295] Updated weights for policy 0, policy_version 1358 (0.0012)
|
| 2261 |
+
[2023-06-19 14:43:38,367][00753] Fps is (10 sec: 4096.0, 60 sec: 3959.5, 300 sec: 3915.5). Total num frames: 5566464. Throughput: 0: 979.1. Samples: 391716. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2262 |
+
[2023-06-19 14:43:38,378][00753] Avg episode reward: [(0, '26.031')]
|
| 2263 |
+
[2023-06-19 14:43:43,367][00753] Fps is (10 sec: 3277.9, 60 sec: 3959.5, 300 sec: 3915.5). Total num frames: 5582848. Throughput: 0: 979.2. Samples: 394090. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2264 |
+
[2023-06-19 14:43:43,369][00753] Avg episode reward: [(0, '26.289')]
|
| 2265 |
+
[2023-06-19 14:43:48,366][00753] Fps is (10 sec: 3276.8, 60 sec: 3822.9, 300 sec: 3915.5). Total num frames: 5599232. Throughput: 0: 975.5. Samples: 398862. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2266 |
+
[2023-06-19 14:43:48,376][00753] Avg episode reward: [(0, '25.812')]
|
| 2267 |
+
[2023-06-19 14:43:48,815][22295] Updated weights for policy 0, policy_version 1368 (0.0032)
|
| 2268 |
+
[2023-06-19 14:43:53,367][00753] Fps is (10 sec: 4096.0, 60 sec: 3891.4, 300 sec: 3929.4). Total num frames: 5623808. Throughput: 0: 971.7. Samples: 405362. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2269 |
+
[2023-06-19 14:43:53,369][00753] Avg episode reward: [(0, '27.435')]
|
| 2270 |
+
[2023-06-19 14:43:57,357][22295] Updated weights for policy 0, policy_version 1378 (0.0022)
|
| 2271 |
+
[2023-06-19 14:43:58,366][00753] Fps is (10 sec: 4915.2, 60 sec: 4027.7, 300 sec: 3929.4). Total num frames: 5648384. Throughput: 0: 971.3. Samples: 408968. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2272 |
+
[2023-06-19 14:43:58,375][00753] Avg episode reward: [(0, '29.401')]
|
| 2273 |
+
[2023-06-19 14:43:58,379][22278] Saving new best policy, reward=29.401!
|
| 2274 |
+
[2023-06-19 14:44:03,366][00753] Fps is (10 sec: 4096.0, 60 sec: 4027.7, 300 sec: 3929.4). Total num frames: 5664768. Throughput: 0: 969.6. Samples: 414722. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2275 |
+
[2023-06-19 14:44:03,371][00753] Avg episode reward: [(0, '28.680')]
|
| 2276 |
+
[2023-06-19 14:44:08,369][00753] Fps is (10 sec: 3275.9, 60 sec: 3891.0, 300 sec: 3929.4). Total num frames: 5681152. Throughput: 0: 969.4. Samples: 419484. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2277 |
+
[2023-06-19 14:44:08,376][00753] Avg episode reward: [(0, '29.090')]
|
| 2278 |
+
[2023-06-19 14:44:09,491][22295] Updated weights for policy 0, policy_version 1388 (0.0011)
|
| 2279 |
+
[2023-06-19 14:44:13,367][00753] Fps is (10 sec: 3276.8, 60 sec: 3754.7, 300 sec: 3929.4). Total num frames: 5697536. Throughput: 0: 967.4. Samples: 421838. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2280 |
+
[2023-06-19 14:44:13,373][00753] Avg episode reward: [(0, '28.578')]
|
| 2281 |
+
[2023-06-19 14:44:13,384][22278] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001391_5697536.pth...
|
| 2282 |
+
[2023-06-19 14:44:13,573][22278] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001163_4763648.pth
|
| 2283 |
+
[2023-06-19 14:44:18,367][00753] Fps is (10 sec: 4097.0, 60 sec: 3891.2, 300 sec: 3929.4). Total num frames: 5722112. Throughput: 0: 965.4. Samples: 428802. Policy #0 lag: (min: 0.0, avg: 1.0, max: 2.0)
|
| 2284 |
+
[2023-06-19 14:44:18,370][00753] Avg episode reward: [(0, '30.459')]
|
| 2285 |
+
[2023-06-19 14:44:18,382][22278] Saving new best policy, reward=30.459!
|
| 2286 |
+
[2023-06-19 14:44:19,022][22295] Updated weights for policy 0, policy_version 1398 (0.0016)
|
| 2287 |
+
[2023-06-19 14:44:23,368][00753] Fps is (10 sec: 4505.1, 60 sec: 3959.6, 300 sec: 3915.5). Total num frames: 5742592. Throughput: 0: 969.9. Samples: 435362. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2288 |
+
[2023-06-19 14:44:23,373][00753] Avg episode reward: [(0, '28.421')]
|
| 2289 |
+
[2023-06-19 14:44:28,367][00753] Fps is (10 sec: 3686.5, 60 sec: 3891.2, 300 sec: 3915.5). Total num frames: 5758976. Throughput: 0: 970.5. Samples: 437764. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2290 |
+
[2023-06-19 14:44:28,369][00753] Avg episode reward: [(0, '27.132')]
|
| 2291 |
+
[2023-06-19 14:44:30,114][22295] Updated weights for policy 0, policy_version 1408 (0.0033)
|
| 2292 |
+
[2023-06-19 14:44:33,367][00753] Fps is (10 sec: 3277.2, 60 sec: 3754.9, 300 sec: 3915.5). Total num frames: 5775360. Throughput: 0: 970.1. Samples: 442518. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0)
|
| 2293 |
+
[2023-06-19 14:44:33,371][00753] Avg episode reward: [(0, '28.250')]
|
| 2294 |
+
[2023-06-19 14:44:38,367][00753] Fps is (10 sec: 3686.4, 60 sec: 3822.9, 300 sec: 3915.5). Total num frames: 5795840. Throughput: 0: 963.1. Samples: 448702. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2295 |
+
[2023-06-19 14:44:38,368][00753] Avg episode reward: [(0, '29.758')]
|
| 2296 |
+
[2023-06-19 14:44:40,242][22295] Updated weights for policy 0, policy_version 1418 (0.0012)
|
| 2297 |
+
[2023-06-19 14:44:43,367][00753] Fps is (10 sec: 4505.6, 60 sec: 3959.5, 300 sec: 3915.5). Total num frames: 5820416. Throughput: 0: 962.8. Samples: 452296. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2298 |
+
[2023-06-19 14:44:43,369][00753] Avg episode reward: [(0, '29.920')]
|
| 2299 |
+
[2023-06-19 14:44:48,368][00753] Fps is (10 sec: 4504.9, 60 sec: 4027.6, 300 sec: 3915.5). Total num frames: 5840896. Throughput: 0: 971.1. Samples: 458424. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2300 |
+
[2023-06-19 14:44:48,378][00753] Avg episode reward: [(0, '30.304')]
|
| 2301 |
+
[2023-06-19 14:44:51,347][22295] Updated weights for policy 0, policy_version 1428 (0.0017)
|
| 2302 |
+
[2023-06-19 14:44:53,366][00753] Fps is (10 sec: 3276.8, 60 sec: 3822.9, 300 sec: 3901.6). Total num frames: 5853184. Throughput: 0: 970.2. Samples: 463140. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0)
|
| 2303 |
+
[2023-06-19 14:44:53,372][00753] Avg episode reward: [(0, '30.202')]
|
| 2304 |
+
[2023-06-19 14:44:58,367][00753] Fps is (10 sec: 2867.6, 60 sec: 3686.4, 300 sec: 3901.6). Total num frames: 5869568. Throughput: 0: 970.2. Samples: 465498. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0)
|
| 2305 |
+
[2023-06-19 14:44:58,369][00753] Avg episode reward: [(0, '32.907')]
|
| 2306 |
+
[2023-06-19 14:44:58,385][22278] Saving new best policy, reward=32.907!
|
| 2307 |
+
[2023-06-19 14:45:01,667][22295] Updated weights for policy 0, policy_version 1438 (0.0031)
|
| 2308 |
+
[2023-06-19 14:45:03,369][00753] Fps is (10 sec: 4504.3, 60 sec: 3891.0, 300 sec: 3929.3). Total num frames: 5898240. Throughput: 0: 965.5. Samples: 472250. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2309 |
+
[2023-06-19 14:45:03,372][00753] Avg episode reward: [(0, '30.852')]
|
| 2310 |
+
[2023-06-19 14:45:08,366][00753] Fps is (10 sec: 4915.2, 60 sec: 3959.7, 300 sec: 3915.5). Total num frames: 5918720. Throughput: 0: 972.4. Samples: 479118. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2311 |
+
[2023-06-19 14:45:08,370][00753] Avg episode reward: [(0, '27.310')]
|
| 2312 |
+
[2023-06-19 14:45:11,909][22295] Updated weights for policy 0, policy_version 1448 (0.0016)
|
| 2313 |
+
[2023-06-19 14:45:13,367][00753] Fps is (10 sec: 3687.4, 60 sec: 3959.5, 300 sec: 3915.5). Total num frames: 5935104. Throughput: 0: 972.5. Samples: 481526. Policy #0 lag: (min: 0.0, avg: 0.8, max: 2.0)
|
| 2314 |
+
[2023-06-19 14:45:13,370][00753] Avg episode reward: [(0, '27.353')]
|
| 2315 |
+
[2023-06-19 14:45:18,374][00753] Fps is (10 sec: 3274.4, 60 sec: 3822.5, 300 sec: 3915.4). Total num frames: 5951488. Throughput: 0: 973.3. Samples: 486322. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0)
|
| 2316 |
+
[2023-06-19 14:45:18,377][00753] Avg episode reward: [(0, '25.210')]
|
| 2317 |
+
[2023-06-19 14:45:22,942][22295] Updated weights for policy 0, policy_version 1458 (0.0021)
|
| 2318 |
+
[2023-06-19 14:45:23,366][00753] Fps is (10 sec: 3686.4, 60 sec: 3823.0, 300 sec: 3915.5). Total num frames: 5971968. Throughput: 0: 975.9. Samples: 492618. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2319 |
+
[2023-06-19 14:45:23,369][00753] Avg episode reward: [(0, '22.058')]
|
| 2320 |
+
[2023-06-19 14:45:28,367][00753] Fps is (10 sec: 4508.7, 60 sec: 3959.4, 300 sec: 3915.5). Total num frames: 5996544. Throughput: 0: 977.9. Samples: 496300. Policy #0 lag: (min: 0.0, avg: 0.9, max: 2.0)
|
| 2321 |
+
[2023-06-19 14:45:28,369][00753] Avg episode reward: [(0, '22.318')]
|
| 2322 |
+
[2023-06-19 14:45:29,568][22278] Stopping Batcher_0...
|
| 2323 |
+
[2023-06-19 14:45:29,569][22278] Loop batcher_evt_loop terminating...
|
| 2324 |
+
[2023-06-19 14:45:29,570][00753] Component Batcher_0 stopped!
|
| 2325 |
+
[2023-06-19 14:45:29,572][22278] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001466_6004736.pth...
|
| 2326 |
+
[2023-06-19 14:45:29,671][22301] Stopping RolloutWorker_w5...
|
| 2327 |
+
[2023-06-19 14:45:29,671][22301] Loop rollout_proc5_evt_loop terminating...
|
| 2328 |
+
[2023-06-19 14:45:29,668][00753] Component RolloutWorker_w5 stopped!
|
| 2329 |
+
[2023-06-19 14:45:29,684][22302] Stopping RolloutWorker_w6...
|
| 2330 |
+
[2023-06-19 14:45:29,687][22296] Stopping RolloutWorker_w0...
|
| 2331 |
+
[2023-06-19 14:45:29,688][00753] Component RolloutWorker_w6 stopped!
|
| 2332 |
+
[2023-06-19 14:45:29,692][00753] Component RolloutWorker_w0 stopped!
|
| 2333 |
+
[2023-06-19 14:45:29,699][22309] Stopping RolloutWorker_w10...
|
| 2334 |
+
[2023-06-19 14:45:29,700][00753] Component RolloutWorker_w10 stopped!
|
| 2335 |
+
[2023-06-19 14:45:29,714][22296] Loop rollout_proc0_evt_loop terminating...
|
| 2336 |
+
[2023-06-19 14:45:29,718][22303] Stopping RolloutWorker_w8...
|
| 2337 |
+
[2023-06-19 14:45:29,719][00753] Component RolloutWorker_w8 stopped!
|
| 2338 |
+
[2023-06-19 14:45:29,722][22299] Stopping RolloutWorker_w3...
|
| 2339 |
+
[2023-06-19 14:45:29,720][22309] Loop rollout_proc10_evt_loop terminating...
|
| 2340 |
+
[2023-06-19 14:45:29,723][22299] Loop rollout_proc3_evt_loop terminating...
|
| 2341 |
+
[2023-06-19 14:45:29,722][00753] Component RolloutWorker_w3 stopped!
|
| 2342 |
+
[2023-06-19 14:45:29,689][22302] Loop rollout_proc6_evt_loop terminating...
|
| 2343 |
+
[2023-06-19 14:45:29,730][22310] Stopping RolloutWorker_w9...
|
| 2344 |
+
[2023-06-19 14:45:29,731][22310] Loop rollout_proc9_evt_loop terminating...
|
| 2345 |
+
[2023-06-19 14:45:29,730][00753] Component RolloutWorker_w9 stopped!
|
| 2346 |
+
[2023-06-19 14:45:29,718][22303] Loop rollout_proc8_evt_loop terminating...
|
| 2347 |
+
[2023-06-19 14:45:29,740][22297] Stopping RolloutWorker_w1...
|
| 2348 |
+
[2023-06-19 14:45:29,740][22297] Loop rollout_proc1_evt_loop terminating...
|
| 2349 |
+
[2023-06-19 14:45:29,738][00753] Component RolloutWorker_w1 stopped!
|
| 2350 |
+
[2023-06-19 14:45:29,744][22304] Stopping RolloutWorker_w7...
|
| 2351 |
+
[2023-06-19 14:45:29,743][00753] Component RolloutWorker_w7 stopped!
|
| 2352 |
+
[2023-06-19 14:45:29,751][22300] Stopping RolloutWorker_w4...
|
| 2353 |
+
[2023-06-19 14:45:29,752][22300] Loop rollout_proc4_evt_loop terminating...
|
| 2354 |
+
[2023-06-19 14:45:29,753][22298] Stopping RolloutWorker_w2...
|
| 2355 |
+
[2023-06-19 14:45:29,754][22298] Loop rollout_proc2_evt_loop terminating...
|
| 2356 |
+
[2023-06-19 14:45:29,753][00753] Component RolloutWorker_w4 stopped!
|
| 2357 |
+
[2023-06-19 14:45:29,762][00753] Component RolloutWorker_w2 stopped!
|
| 2358 |
+
[2023-06-19 14:45:29,748][22304] Loop rollout_proc7_evt_loop terminating...
|
| 2359 |
+
[2023-06-19 14:45:29,781][22295] Weights refcount: 2 0
|
| 2360 |
+
[2023-06-19 14:45:29,782][22295] Stopping InferenceWorker_p0-w0...
|
| 2361 |
+
[2023-06-19 14:45:29,782][22295] Loop inference_proc0-0_evt_loop terminating...
|
| 2362 |
+
[2023-06-19 14:45:29,783][00753] Component InferenceWorker_p0-w0 stopped!
|
| 2363 |
+
[2023-06-19 14:45:29,795][00753] Component RolloutWorker_w11 stopped!
|
| 2364 |
+
[2023-06-19 14:45:29,796][22311] Stopping RolloutWorker_w11...
|
| 2365 |
+
[2023-06-19 14:45:29,797][22311] Loop rollout_proc11_evt_loop terminating...
|
| 2366 |
+
[2023-06-19 14:45:29,823][22278] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001277_5230592.pth
|
| 2367 |
+
[2023-06-19 14:45:29,840][22278] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001466_6004736.pth...
|
| 2368 |
+
[2023-06-19 14:45:30,054][00753] Component LearnerWorker_p0 stopped!
|
| 2369 |
+
[2023-06-19 14:45:30,056][00753] Waiting for process learner_proc0 to stop...
|
| 2370 |
+
[2023-06-19 14:45:30,059][22278] Stopping LearnerWorker_p0...
|
| 2371 |
+
[2023-06-19 14:45:30,060][22278] Loop learner_proc0_evt_loop terminating...
|
| 2372 |
+
[2023-06-19 14:45:31,937][00753] Waiting for process inference_proc0-0 to join...
|
| 2373 |
+
[2023-06-19 14:45:32,377][00753] Waiting for process rollout_proc0 to join...
|
| 2374 |
+
[2023-06-19 14:45:36,938][00753] Waiting for process rollout_proc1 to join...
|
| 2375 |
+
[2023-06-19 14:45:36,968][00753] Waiting for process rollout_proc2 to join...
|
| 2376 |
+
[2023-06-19 14:45:36,970][00753] Waiting for process rollout_proc3 to join...
|
| 2377 |
+
[2023-06-19 14:45:36,971][00753] Waiting for process rollout_proc4 to join...
|
| 2378 |
+
[2023-06-19 14:45:36,973][00753] Waiting for process rollout_proc5 to join...
|
| 2379 |
+
[2023-06-19 14:45:36,977][00753] Waiting for process rollout_proc6 to join...
|
| 2380 |
+
[2023-06-19 14:45:36,982][00753] Waiting for process rollout_proc7 to join...
|
| 2381 |
+
[2023-06-19 14:45:36,983][00753] Waiting for process rollout_proc8 to join...
|
| 2382 |
+
[2023-06-19 14:45:36,985][00753] Waiting for process rollout_proc9 to join...
|
| 2383 |
+
[2023-06-19 14:45:36,987][00753] Waiting for process rollout_proc10 to join...
|
| 2384 |
+
[2023-06-19 14:45:36,989][00753] Waiting for process rollout_proc11 to join...
|
| 2385 |
+
[2023-06-19 14:45:36,991][00753] Batcher 0 profile tree view:
|
| 2386 |
+
batching: 15.1503, releasing_batches: 0.0120
|
| 2387 |
+
[2023-06-19 14:45:36,992][00753] InferenceWorker_p0-w0 profile tree view:
|
| 2388 |
+
wait_policy: 0.0108
|
| 2389 |
+
wait_policy_total: 324.6077
|
| 2390 |
+
update_model: 2.7738
|
| 2391 |
+
weight_update: 0.0024
|
| 2392 |
+
one_step: 0.0033
|
| 2393 |
+
handle_policy_step: 187.4206
|
| 2394 |
+
deserialize: 6.1076, stack: 0.9300, obs_to_device_normalize: 37.4810, forward: 98.0533, send_messages: 13.2084
|
| 2395 |
+
prepare_outputs: 23.5951
|
| 2396 |
+
to_cpu: 13.3490
|
| 2397 |
+
[2023-06-19 14:45:36,994][00753] Learner 0 profile tree view:
|
| 2398 |
+
misc: 0.0026, prepare_batch: 11.4592
|
| 2399 |
+
train: 39.3034
|
| 2400 |
+
epoch_init: 0.0029, minibatch_init: 0.0054, losses_postprocess: 0.2337, kl_divergence: 0.3921, after_optimizer: 1.6729
|
| 2401 |
+
calculate_losses: 14.1472
|
| 2402 |
+
losses_init: 0.0015, forward_head: 0.9955, bptt_initial: 8.6592, tail: 0.6937, advantages_returns: 0.1729, losses: 2.3929
|
| 2403 |
+
bptt: 1.0778
|
| 2404 |
+
bptt_forward_core: 1.0180
|
| 2405 |
+
update: 22.4473
|
| 2406 |
+
clip: 16.4902
|
| 2407 |
+
[2023-06-19 14:45:36,995][00753] RolloutWorker_w0 profile tree view:
|
| 2408 |
+
wait_for_trajectories: 0.2178, enqueue_policy_requests: 80.0690, env_step: 372.0584, overhead: 8.8974, complete_rollouts: 2.6271
|
| 2409 |
+
save_policy_outputs: 6.8942
|
| 2410 |
+
split_output_tensors: 3.4991
|
| 2411 |
+
[2023-06-19 14:45:36,997][00753] RolloutWorker_w11 profile tree view:
|
| 2412 |
+
wait_for_trajectories: 0.1147, enqueue_policy_requests: 81.5770, env_step: 366.0075, overhead: 8.1784, complete_rollouts: 2.7526
|
| 2413 |
+
save_policy_outputs: 6.5695
|
| 2414 |
+
split_output_tensors: 3.0774
|
| 2415 |
+
[2023-06-19 14:45:36,998][00753] Loop Runner_EvtLoop terminating...
|
| 2416 |
+
[2023-06-19 14:45:36,999][00753] Runner profile tree view:
|
| 2417 |
+
main_loop: 561.3929
|
| 2418 |
+
[2023-06-19 14:45:37,001][00753] Collected {0: 6004736}, FPS: 3560.5
|
| 2419 |
+
[2023-06-19 14:45:47,199][00753] Loading existing experiment configuration from /content/train_dir/default_experiment/config.json
|
| 2420 |
+
[2023-06-19 14:45:47,201][00753] Overriding arg 'num_workers' with value 1 passed from command line
|
| 2421 |
+
[2023-06-19 14:45:47,202][00753] Adding new argument 'no_render'=True that is not in the saved config file!
|
| 2422 |
+
[2023-06-19 14:45:47,204][00753] Adding new argument 'save_video'=True that is not in the saved config file!
|
| 2423 |
+
[2023-06-19 14:45:47,205][00753] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file!
|
| 2424 |
+
[2023-06-19 14:45:47,206][00753] Adding new argument 'video_name'=None that is not in the saved config file!
|
| 2425 |
+
[2023-06-19 14:45:47,207][00753] Adding new argument 'max_num_frames'=100000 that is not in the saved config file!
|
| 2426 |
+
[2023-06-19 14:45:47,208][00753] Adding new argument 'max_num_episodes'=10 that is not in the saved config file!
|
| 2427 |
+
[2023-06-19 14:45:47,209][00753] Adding new argument 'push_to_hub'=True that is not in the saved config file!
|
| 2428 |
+
[2023-06-19 14:45:47,210][00753] Adding new argument 'hf_repository'='Ditrip/rl_course_vizdoom_health_gathering_supreme' that is not in the saved config file!
|
| 2429 |
+
[2023-06-19 14:45:47,211][00753] Adding new argument 'policy_index'=0 that is not in the saved config file!
|
| 2430 |
+
[2023-06-19 14:45:47,212][00753] Adding new argument 'eval_deterministic'=False that is not in the saved config file!
|
| 2431 |
+
[2023-06-19 14:45:47,213][00753] Adding new argument 'train_script'=None that is not in the saved config file!
|
| 2432 |
+
[2023-06-19 14:45:47,214][00753] Adding new argument 'enjoy_script'=None that is not in the saved config file!
|
| 2433 |
+
[2023-06-19 14:45:47,215][00753] Using frameskip 1 and render_action_repeat=4 for evaluation
|
| 2434 |
+
[2023-06-19 14:45:47,241][00753] RunningMeanStd input shape: (3, 72, 128)
|
| 2435 |
+
[2023-06-19 14:45:47,246][00753] RunningMeanStd input shape: (1,)
|
| 2436 |
+
[2023-06-19 14:45:47,266][00753] ConvEncoder: input_channels=3
|
| 2437 |
+
[2023-06-19 14:45:47,322][00753] Conv encoder output size: 512
|
| 2438 |
+
[2023-06-19 14:45:47,324][00753] Policy head output size: 512
|
| 2439 |
+
[2023-06-19 14:45:47,351][00753] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001466_6004736.pth...
|
| 2440 |
+
[2023-06-19 14:45:48,057][00753] Num frames 100...
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[2023-06-19 14:45:48,243][00753] Num frames 200...
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[2023-06-19 14:45:49,171][00753] Num frames 700...
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+
[2023-06-19 14:45:51,496][00753] Num frames 2100...
|
| 2461 |
+
[2023-06-19 14:45:51,548][00753] Avg episode rewards: #0: 59.999, true rewards: #0: 21.000
|
| 2462 |
+
[2023-06-19 14:45:51,549][00753] Avg episode reward: 59.999, avg true_objective: 21.000
|
| 2463 |
+
[2023-06-19 14:45:51,672][00753] Num frames 2200...
|
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+
[2023-06-19 14:45:51,789][00753] Num frames 2300...
|
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[2023-06-19 14:45:52,040][00753] Num frames 2500...
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[2023-06-19 14:45:52,305][00753] Num frames 2700...
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[2023-06-19 14:45:52,425][00753] Num frames 2800...
|
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[2023-06-19 14:45:52,550][00753] Num frames 2900...
|
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[2023-06-19 14:45:52,670][00753] Num frames 3000...
|
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+
[2023-06-19 14:45:52,796][00753] Num frames 3100...
|
| 2473 |
+
[2023-06-19 14:45:52,936][00753] Avg episode rewards: #0: 42.854, true rewards: #0: 15.855
|
| 2474 |
+
[2023-06-19 14:45:52,937][00753] Avg episode reward: 42.854, avg true_objective: 15.855
|
| 2475 |
+
[2023-06-19 14:45:52,978][00753] Num frames 3200...
|
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+
[2023-06-19 14:45:53,113][00753] Num frames 3300...
|
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+
[2023-06-19 14:45:53,236][00753] Num frames 3400...
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|
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+
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|
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+
[2023-06-19 14:45:53,608][00753] Num frames 3700...
|
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+
[2023-06-19 14:45:53,731][00753] Num frames 3800...
|
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+
[2023-06-19 14:45:53,859][00753] Num frames 3900...
|
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+
[2023-06-19 14:45:53,982][00753] Num frames 4000...
|
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+
[2023-06-19 14:45:54,115][00753] Num frames 4100...
|
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+
[2023-06-19 14:45:54,238][00753] Num frames 4200...
|
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|
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+
[2023-06-19 14:45:54,490][00753] Num frames 4400...
|
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+
[2023-06-19 14:45:54,616][00753] Num frames 4500...
|
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+
[2023-06-19 14:45:54,737][00753] Num frames 4600...
|
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+
[2023-06-19 14:45:54,861][00753] Num frames 4700...
|
| 2491 |
+
[2023-06-19 14:45:55,009][00753] Avg episode rewards: #0: 40.913, true rewards: #0: 15.913
|
| 2492 |
+
[2023-06-19 14:45:55,010][00753] Avg episode reward: 40.913, avg true_objective: 15.913
|
| 2493 |
+
[2023-06-19 14:45:55,043][00753] Num frames 4800...
|
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+
[2023-06-19 14:45:55,176][00753] Num frames 4900...
|
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+
[2023-06-19 14:45:55,295][00753] Num frames 5000...
|
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+
[2023-06-19 14:45:55,417][00753] Num frames 5100...
|
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+
[2023-06-19 14:45:55,539][00753] Num frames 5200...
|
| 2498 |
+
[2023-06-19 14:45:55,620][00753] Avg episode rewards: #0: 32.055, true rewards: #0: 13.055
|
| 2499 |
+
[2023-06-19 14:45:55,622][00753] Avg episode reward: 32.055, avg true_objective: 13.055
|
| 2500 |
+
[2023-06-19 14:45:55,716][00753] Num frames 5300...
|
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+
[2023-06-19 14:45:55,842][00753] Num frames 5400...
|
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+
[2023-06-19 14:45:55,963][00753] Num frames 5500...
|
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+
[2023-06-19 14:45:56,086][00753] Num frames 5600...
|
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+
[2023-06-19 14:45:56,221][00753] Num frames 5700...
|
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+
[2023-06-19 14:45:56,344][00753] Num frames 5800...
|
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+
[2023-06-19 14:45:56,468][00753] Num frames 5900...
|
| 2507 |
+
[2023-06-19 14:45:56,629][00753] Avg episode rewards: #0: 28.780, true rewards: #0: 11.980
|
| 2508 |
+
[2023-06-19 14:45:56,630][00753] Avg episode reward: 28.780, avg true_objective: 11.980
|
| 2509 |
+
[2023-06-19 14:45:56,648][00753] Num frames 6000...
|
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+
[2023-06-19 14:45:56,770][00753] Num frames 6100...
|
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+
[2023-06-19 14:45:56,889][00753] Num frames 6200...
|
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+
[2023-06-19 14:45:57,012][00753] Num frames 6300...
|
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+
[2023-06-19 14:45:57,139][00753] Num frames 6400...
|
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+
[2023-06-19 14:45:57,271][00753] Num frames 6500...
|
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+
[2023-06-19 14:45:57,398][00753] Num frames 6600...
|
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+
[2023-06-19 14:45:57,520][00753] Num frames 6700...
|
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[2023-06-19 14:45:57,642][00753] Num frames 6800...
|
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| 2519 |
+
[2023-06-19 14:45:57,852][00753] Avg episode rewards: #0: 28.030, true rewards: #0: 11.530
|
| 2520 |
+
[2023-06-19 14:45:57,853][00753] Avg episode reward: 28.030, avg true_objective: 11.530
|
| 2521 |
+
[2023-06-19 14:45:57,957][00753] Num frames 7000...
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| 2522 |
+
[2023-06-19 14:45:58,086][00753] Num frames 7100...
|
| 2523 |
+
[2023-06-19 14:45:58,217][00753] Num frames 7200...
|
| 2524 |
+
[2023-06-19 14:45:58,344][00753] Num frames 7300...
|
| 2525 |
+
[2023-06-19 14:45:58,469][00753] Num frames 7400...
|
| 2526 |
+
[2023-06-19 14:45:58,591][00753] Num frames 7500...
|
| 2527 |
+
[2023-06-19 14:45:58,714][00753] Num frames 7600...
|
| 2528 |
+
[2023-06-19 14:45:58,838][00753] Num frames 7700...
|
| 2529 |
+
[2023-06-19 14:45:58,965][00753] Num frames 7800...
|
| 2530 |
+
[2023-06-19 14:45:59,091][00753] Num frames 7900...
|
| 2531 |
+
[2023-06-19 14:45:59,247][00753] Avg episode rewards: #0: 28.248, true rewards: #0: 11.391
|
| 2532 |
+
[2023-06-19 14:45:59,248][00753] Avg episode reward: 28.248, avg true_objective: 11.391
|
| 2533 |
+
[2023-06-19 14:45:59,284][00753] Num frames 8000...
|
| 2534 |
+
[2023-06-19 14:45:59,406][00753] Num frames 8100...
|
| 2535 |
+
[2023-06-19 14:45:59,537][00753] Num frames 8200...
|
| 2536 |
+
[2023-06-19 14:45:59,660][00753] Num frames 8300...
|
| 2537 |
+
[2023-06-19 14:45:59,783][00753] Num frames 8400...
|
| 2538 |
+
[2023-06-19 14:45:59,909][00753] Num frames 8500...
|
| 2539 |
+
[2023-06-19 14:46:00,033][00753] Num frames 8600...
|
| 2540 |
+
[2023-06-19 14:46:00,169][00753] Num frames 8700...
|
| 2541 |
+
[2023-06-19 14:46:00,297][00753] Num frames 8800...
|
| 2542 |
+
[2023-06-19 14:46:00,419][00753] Num frames 8900...
|
| 2543 |
+
[2023-06-19 14:46:00,545][00753] Num frames 9000...
|
| 2544 |
+
[2023-06-19 14:46:00,667][00753] Num frames 9100...
|
| 2545 |
+
[2023-06-19 14:46:00,791][00753] Num frames 9200...
|
| 2546 |
+
[2023-06-19 14:46:00,946][00753] Num frames 9300...
|
| 2547 |
+
[2023-06-19 14:46:01,140][00753] Num frames 9400...
|
| 2548 |
+
[2023-06-19 14:46:01,330][00753] Num frames 9500...
|
| 2549 |
+
[2023-06-19 14:46:01,505][00753] Num frames 9600...
|
| 2550 |
+
[2023-06-19 14:46:01,690][00753] Num frames 9700...
|
| 2551 |
+
[2023-06-19 14:46:01,817][00753] Avg episode rewards: #0: 30.667, true rewards: #0: 12.167
|
| 2552 |
+
[2023-06-19 14:46:01,823][00753] Avg episode reward: 30.667, avg true_objective: 12.167
|
| 2553 |
+
[2023-06-19 14:46:01,959][00753] Num frames 9800...
|
| 2554 |
+
[2023-06-19 14:46:02,157][00753] Num frames 9900...
|
| 2555 |
+
[2023-06-19 14:46:02,354][00753] Num frames 10000...
|
| 2556 |
+
[2023-06-19 14:46:02,541][00753] Num frames 10100...
|
| 2557 |
+
[2023-06-19 14:46:02,721][00753] Num frames 10200...
|
| 2558 |
+
[2023-06-19 14:46:02,905][00753] Num frames 10300...
|
| 2559 |
+
[2023-06-19 14:46:03,086][00753] Num frames 10400...
|
| 2560 |
+
[2023-06-19 14:46:03,268][00753] Num frames 10500...
|
| 2561 |
+
[2023-06-19 14:46:03,454][00753] Num frames 10600...
|
| 2562 |
+
[2023-06-19 14:46:03,636][00753] Num frames 10700...
|
| 2563 |
+
[2023-06-19 14:46:03,822][00753] Num frames 10800...
|
| 2564 |
+
[2023-06-19 14:46:04,017][00753] Num frames 10900...
|
| 2565 |
+
[2023-06-19 14:46:04,199][00753] Num frames 11000...
|
| 2566 |
+
[2023-06-19 14:46:04,390][00753] Num frames 11100...
|
| 2567 |
+
[2023-06-19 14:46:04,573][00753] Num frames 11200...
|
| 2568 |
+
[2023-06-19 14:46:04,757][00753] Num frames 11300...
|
| 2569 |
+
[2023-06-19 14:46:04,923][00753] Num frames 11400...
|
| 2570 |
+
[2023-06-19 14:46:05,054][00753] Num frames 11500...
|
| 2571 |
+
[2023-06-19 14:46:05,120][00753] Avg episode rewards: #0: 32.230, true rewards: #0: 12.786
|
| 2572 |
+
[2023-06-19 14:46:05,121][00753] Avg episode reward: 32.230, avg true_objective: 12.786
|
| 2573 |
+
[2023-06-19 14:46:05,246][00753] Num frames 11600...
|
| 2574 |
+
[2023-06-19 14:46:05,372][00753] Num frames 11700...
|
| 2575 |
+
[2023-06-19 14:46:05,505][00753] Num frames 11800...
|
| 2576 |
+
[2023-06-19 14:46:05,627][00753] Num frames 11900...
|
| 2577 |
+
[2023-06-19 14:46:05,750][00753] Num frames 12000...
|
| 2578 |
+
[2023-06-19 14:46:05,872][00753] Num frames 12100...
|
| 2579 |
+
[2023-06-19 14:46:06,003][00753] Num frames 12200...
|
| 2580 |
+
[2023-06-19 14:46:06,127][00753] Num frames 12300...
|
| 2581 |
+
[2023-06-19 14:46:06,187][00753] Avg episode rewards: #0: 30.603, true rewards: #0: 12.303
|
| 2582 |
+
[2023-06-19 14:46:06,189][00753] Avg episode reward: 30.603, avg true_objective: 12.303
|
| 2583 |
+
[2023-06-19 14:47:20,286][00753] Replay video saved to /content/train_dir/default_experiment/replay.mp4!
|