poca-SoccerTwos / run_logs /timers.json
PhilSad's picture
First Push
f39efe5
{
"name": "root",
"gauges": {
"SoccerTwos.Policy.Entropy.mean": {
"value": 1.4226882457733154,
"min": 1.3962759971618652,
"max": 3.221355676651001,
"count": 1380
},
"SoccerTwos.Policy.Entropy.sum": {
"value": 31003.22265625,
"min": 17583.181640625,
"max": 117620.5625,
"count": 1380
},
"SoccerTwos.Environment.EpisodeLength.mean": {
"value": 60.775,
"min": 37.41085271317829,
"max": 999.0,
"count": 1380
},
"SoccerTwos.Environment.EpisodeLength.sum": {
"value": 19448.0,
"min": 720.0,
"max": 31968.0,
"count": 1380
},
"SoccerTwos.Self-play.ELO.mean": {
"value": 1664.2310724196864,
"min": 1197.9743045436578,
"max": 1685.6221675923723,
"count": 1366
},
"SoccerTwos.Self-play.ELO.sum": {
"value": 266276.97158714983,
"min": 2395.9486090873156,
"max": 414599.35986528243,
"count": 1366
},
"SoccerTwos.Step.mean": {
"value": 15019960.0,
"min": 1219955.0,
"max": 15019960.0,
"count": 1381
},
"SoccerTwos.Step.sum": {
"value": 15019960.0,
"min": 1219955.0,
"max": 15019960.0,
"count": 1381
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": {
"value": -0.04060524329543114,
"min": -0.11362434923648834,
"max": 0.14808301627635956,
"count": 1381
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": {
"value": -6.456233978271484,
"min": -20.059688568115234,
"max": 19.550342559814453,
"count": 1381
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.mean": {
"value": -0.03960680216550827,
"min": -0.11319874227046967,
"max": 0.15150688588619232,
"count": 1381
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.sum": {
"value": -6.297481536865234,
"min": -21.028011322021484,
"max": 19.544387817382812,
"count": 1381
},
"SoccerTwos.Environment.CumulativeReward.mean": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 1381
},
"SoccerTwos.Environment.CumulativeReward.sum": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 1381
},
"SoccerTwos.Policy.ExtrinsicReward.mean": {
"value": 0.023240252110943105,
"min": -0.5631809539738155,
"max": 0.8185999989509583,
"count": 1381
},
"SoccerTwos.Policy.ExtrinsicReward.sum": {
"value": 3.6952000856399536,
"min": -61.11840009689331,
"max": 44.8549998998642,
"count": 1381
},
"SoccerTwos.Environment.GroupCumulativeReward.mean": {
"value": 0.023240252110943105,
"min": -0.5631809539738155,
"max": 0.8185999989509583,
"count": 1381
},
"SoccerTwos.Environment.GroupCumulativeReward.sum": {
"value": 3.6952000856399536,
"min": -61.11840009689331,
"max": 44.8549998998642,
"count": 1381
},
"SoccerTwos.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 1381
},
"SoccerTwos.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 1381
},
"SoccerTwos.Losses.PolicyLoss.mean": {
"value": 0.016539275362932433,
"min": 0.011099975449421132,
"max": 0.025155503421168155,
"count": 666
},
"SoccerTwos.Losses.PolicyLoss.sum": {
"value": 0.016539275362932433,
"min": 0.011099975449421132,
"max": 0.025155503421168155,
"count": 666
},
"SoccerTwos.Losses.ValueLoss.mean": {
"value": 0.10412231087684631,
"min": 6.601868826692226e-05,
"max": 0.12981368551651637,
"count": 666
},
"SoccerTwos.Losses.ValueLoss.sum": {
"value": 0.10412231087684631,
"min": 6.601868826692226e-05,
"max": 0.12981368551651637,
"count": 666
},
"SoccerTwos.Losses.BaselineLoss.mean": {
"value": 0.10583755721648534,
"min": 6.635894211891961e-05,
"max": 0.13248267372449238,
"count": 666
},
"SoccerTwos.Losses.BaselineLoss.sum": {
"value": 0.10583755721648534,
"min": 6.635894211891961e-05,
"max": 0.13248267372449238,
"count": 666
},
"SoccerTwos.Policy.LearningRate.mean": {
"value": 0.0003,
"min": 0.0003,
"max": 0.0003,
"count": 666
},
"SoccerTwos.Policy.LearningRate.sum": {
"value": 0.0003,
"min": 0.0003,
"max": 0.0003,
"count": 666
},
"SoccerTwos.Policy.Epsilon.mean": {
"value": 0.20000000000000007,
"min": 0.19999999999999996,
"max": 0.20000000000000007,
"count": 666
},
"SoccerTwos.Policy.Epsilon.sum": {
"value": 0.20000000000000007,
"min": 0.19999999999999996,
"max": 0.20000000000000007,
"count": 666
},
"SoccerTwos.Policy.Beta.mean": {
"value": 0.005000000000000001,
"min": 0.005,
"max": 0.005000000000000001,
"count": 666
},
"SoccerTwos.Policy.Beta.sum": {
"value": 0.005000000000000001,
"min": 0.005,
"max": 0.005000000000000001,
"count": 666
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1687892781",
"python_version": "3.9.16 (main, May 15 2023, 23:46:34) \n[GCC 11.2.0]",
"command_line_arguments": "/home/philippehenrisaade/miniconda3/envs/hfrl/bin/mlagents-learn ./config/poca/SoccerTwos.yaml --env=./training-envs-executables/SoccerTwos/SoccerTwos.x86_64 --run-id=SoccerTwos-4 --no-graphics --resume",
"mlagents_version": "0.31.0.dev0",
"mlagents_envs_version": "0.31.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "1.11.0+cu102",
"numpy_version": "1.21.2",
"end_time_seconds": "1687935481"
},
"total": 42699.583049661,
"count": 1,
"self": 0.20594733899633866,
"children": {
"run_training.setup": {
"total": 0.018065414999995255,
"count": 1,
"self": 0.018065414999995255
},
"TrainerController.start_learning": {
"total": 42699.359036907,
"count": 1,
"self": 31.80477599411097,
"children": {
"TrainerController._reset_env": {
"total": 3.755812973002172,
"count": 70,
"self": 3.755812973002172
},
"TrainerController.advance": {
"total": 42663.5523152869,
"count": 949028,
"self": 34.32809844633448,
"children": {
"env_step": {
"total": 19083.95156357178,
"count": 949028,
"self": 15436.484321485323,
"children": {
"SubprocessEnvManager._take_step": {
"total": 3627.9598752196785,
"count": 949028,
"self": 166.5173499370867,
"children": {
"TorchPolicy.evaluate": {
"total": 3461.4425252825918,
"count": 1736418,
"self": 3461.4425252825918
}
}
},
"workers": {
"total": 19.507366866778582,
"count": 949028,
"self": 0.0,
"children": {
"worker_root": {
"total": 42640.89260341357,
"count": 949028,
"is_parallel": true,
"self": 30391.48658158106,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0035533710000024143,
"count": 2,
"is_parallel": true,
"self": 0.0009003320000005033,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.002653039000001911,
"count": 8,
"is_parallel": true,
"self": 0.002653039000001911
}
}
},
"UnityEnvironment.step": {
"total": 0.0279442670000023,
"count": 1,
"is_parallel": true,
"self": 0.0009846460000062507,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0004360929999975838,
"count": 1,
"is_parallel": true,
"self": 0.0004360929999975838
},
"communicator.exchange": {
"total": 0.02342329100000029,
"count": 1,
"is_parallel": true,
"self": 0.02342329100000029
},
"steps_from_proto": {
"total": 0.003100236999998174,
"count": 2,
"is_parallel": true,
"self": 0.0006361289999929909,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.002464108000005183,
"count": 8,
"is_parallel": true,
"self": 0.002464108000005183
}
}
}
}
}
}
},
"steps_from_proto": {
"total": 0.1469940020244067,
"count": 138,
"is_parallel": true,
"self": 0.031021074054386588,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.11597292797002012,
"count": 552,
"is_parallel": true,
"self": 0.11597292797002012
}
}
},
"UnityEnvironment.step": {
"total": 12249.259027830489,
"count": 949027,
"is_parallel": true,
"self": 619.4764606847712,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 445.8712582004788,
"count": 949027,
"is_parallel": true,
"self": 445.8712582004788
},
"communicator.exchange": {
"total": 9272.433666667364,
"count": 949027,
"is_parallel": true,
"self": 9272.433666667364
},
"steps_from_proto": {
"total": 1911.4776422778743,
"count": 1898054,
"is_parallel": true,
"self": 412.73713850096715,
"children": {
"_process_rank_one_or_two_observation": {
"total": 1498.7405037769072,
"count": 7592216,
"is_parallel": true,
"self": 1498.7405037769072
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 23545.27265326879,
"count": 949028,
"self": 213.41046612054924,
"children": {
"process_trajectory": {
"total": 3981.8585847302465,
"count": 949028,
"self": 3975.6349691592236,
"children": {
"RLTrainer._checkpoint": {
"total": 6.223615571022833,
"count": 28,
"self": 6.223615571022833
}
}
},
"_update_policy": {
"total": 19350.003602417994,
"count": 667,
"self": 2491.647260686168,
"children": {
"TorchPOCAOptimizer.update": {
"total": 16858.356341731826,
"count": 20004,
"self": 16858.356341731826
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.4389952411875129e-06,
"count": 1,
"self": 1.4389952411875129e-06
},
"TrainerController._save_models": {
"total": 0.24613121399306692,
"count": 1,
"self": 0.0018452409931342117,
"children": {
"RLTrainer._checkpoint": {
"total": 0.2442859729999327,
"count": 1,
"self": 0.2442859729999327
}
}
}
}
}
}
}