PyramidsRND / run_logs /timers.json
Redart71's picture
Fisrt commit
ae114bd verified
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.6090071201324463,
"min": 0.6090071201324463,
"max": 0.7083700299263,
"count": 10
},
"Pyramids.Policy.Entropy.sum": {
"value": 18416.375,
"min": 7111.50048828125,
"max": 21252.91796875,
"count": 10
},
"Pyramids.Step.mean": {
"value": 479911.0,
"min": 209880.0,
"max": 479911.0,
"count": 10
},
"Pyramids.Step.sum": {
"value": 479911.0,
"min": 209880.0,
"max": 479911.0,
"count": 10
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": -0.07253942638635635,
"min": -0.08320462703704834,
"max": 0.0023477766662836075,
"count": 10
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": -17.48200225830078,
"min": -20.05231475830078,
"max": 0.5752052664756775,
"count": 10
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.022784555330872536,
"min": 0.022784555330872536,
"max": 0.06529036909341812,
"count": 10
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 5.491077899932861,
"min": 4.192404270172119,
"max": 15.734979629516602,
"count": 10
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06981263172146551,
"min": 0.06703904121303025,
"max": 0.07397912945776448,
"count": 10
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9773768441005172,
"min": 0.1435443493925656,
"max": 1.0357078124087027,
"count": 10
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.0021188440727008596,
"min": 0.0013612011227704492,
"max": 0.0048058832548568825,
"count": 10
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.02966381701781203,
"min": 0.0027523123214905354,
"max": 0.06728236556799636,
"count": 10
},
"Pyramids.Policy.LearningRate.mean": {
"value": 2.109013582712857e-05,
"min": 2.109013582712857e-05,
"max": 0.0001762992412336,
"count": 10
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00029526190157979997,
"min": 0.00029526190157979997,
"max": 0.0019769963410013994,
"count": 10
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.1070300142857143,
"min": 0.1070300142857143,
"max": 0.1587664,
"count": 10
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4984202000000002,
"min": 0.3175328,
"max": 2.0026257999999997,
"count": 10
},
"Pyramids.Policy.Beta.mean": {
"value": 0.0007122984271428573,
"min": 0.0007122984271428573,
"max": 0.005880763360000001,
"count": 10
},
"Pyramids.Policy.Beta.sum": {
"value": 0.009972177980000002,
"min": 0.009972177980000002,
"max": 0.06595396014,
"count": 10
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.02221989631652832,
"min": 0.02221989631652832,
"max": 0.04772371053695679,
"count": 10
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.3110785484313965,
"min": 0.09544742107391357,
"max": 0.5373121500015259,
"count": 10
},
"Pyramids.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 10
},
"Pyramids.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 10
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 979.1875,
"min": 869.6176470588235,
"max": 981.9666666666667,
"count": 9
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 31334.0,
"min": 25939.0,
"max": 31777.0,
"count": 9
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": -0.7297750487923622,
"min": -0.8492333829402924,
"max": -0.22300592941396377,
"count": 9
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": -23.35280156135559,
"min": -25.5498016923666,
"max": -7.582201600074768,
"count": 9
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": -0.7297750487923622,
"min": -0.8492333829402924,
"max": -0.22300592941396377,
"count": 9
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": -23.35280156135559,
"min": -25.5498016923666,
"max": -7.582201600074768,
"count": 9
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.22445262252585962,
"min": 0.22445262252585962,
"max": 0.45849867131222377,
"count": 9
},
"Pyramids.Policy.RndReward.sum": {
"value": 7.182483920827508,
"min": 6.778018158860505,
"max": 15.130456153303385,
"count": 9
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1744797048",
"python_version": "3.10.12 (main, Jul 5 2023, 18:54:27) [GCC 11.2.0]",
"command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/PyramidsRND.yaml --env=./training-envs-executables/linux/Pyramids/Pyramids --run-id=Pyramids Training --no-graphics --resume",
"mlagents_version": "1.2.0.dev0",
"mlagents_envs_version": "1.2.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "2.6.0+cu124",
"numpy_version": "1.23.5",
"end_time_seconds": "1744797673"
},
"total": 624.632570834,
"count": 1,
"self": 0.4775936529995306,
"children": {
"run_training.setup": {
"total": 0.020155083000190643,
"count": 1,
"self": 0.020155083000190643
},
"TrainerController.start_learning": {
"total": 624.1348220980003,
"count": 1,
"self": 0.33929680506071236,
"children": {
"TrainerController._reset_env": {
"total": 2.2091631130001588,
"count": 1,
"self": 2.2091631130001588
},
"TrainerController.advance": {
"total": 621.5018639819405,
"count": 19001,
"self": 0.3557345230719875,
"children": {
"env_step": {
"total": 425.8311929509264,
"count": 19001,
"self": 383.74839915102893,
"children": {
"SubprocessEnvManager._take_step": {
"total": 41.88057261093854,
"count": 19001,
"self": 1.3218104008888076,
"children": {
"TorchPolicy.evaluate": {
"total": 40.558762210049736,
"count": 18822,
"self": 40.558762210049736
}
}
},
"workers": {
"total": 0.20222118895890162,
"count": 19001,
"self": 0.0,
"children": {
"worker_root": {
"total": 622.6694001459628,
"count": 19001,
"is_parallel": true,
"self": 269.59287153189416,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.002057608000086475,
"count": 1,
"is_parallel": true,
"self": 0.0006166229991322325,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0014409850009542424,
"count": 8,
"is_parallel": true,
"self": 0.0014409850009542424
}
}
},
"UnityEnvironment.step": {
"total": 0.04956128100002388,
"count": 1,
"is_parallel": true,
"self": 0.0005393860001277062,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0004479619997255213,
"count": 1,
"is_parallel": true,
"self": 0.0004479619997255213
},
"communicator.exchange": {
"total": 0.04698090600004434,
"count": 1,
"is_parallel": true,
"self": 0.04698090600004434
},
"steps_from_proto": {
"total": 0.0015930270001263125,
"count": 1,
"is_parallel": true,
"self": 0.0003434210002524196,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0012496059998738929,
"count": 8,
"is_parallel": true,
"self": 0.0012496059998738929
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 353.0765286140686,
"count": 19000,
"is_parallel": true,
"self": 9.142413075109289,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 6.861393524020514,
"count": 19000,
"is_parallel": true,
"self": 6.861393524020514
},
"communicator.exchange": {
"total": 310.0955846810225,
"count": 19000,
"is_parallel": true,
"self": 310.0955846810225
},
"steps_from_proto": {
"total": 26.97713733391629,
"count": 19000,
"is_parallel": true,
"self": 5.200288040794476,
"children": {
"_process_rank_one_or_two_observation": {
"total": 21.776849293121813,
"count": 152000,
"is_parallel": true,
"self": 21.776849293121813
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 195.3149365079421,
"count": 19001,
"self": 0.6684364159968936,
"children": {
"process_trajectory": {
"total": 35.69862378093694,
"count": 19001,
"self": 35.58427482393654,
"children": {
"RLTrainer._checkpoint": {
"total": 0.11434895700040215,
"count": 1,
"self": 0.11434895700040215
}
}
},
"_update_policy": {
"total": 158.94787631100826,
"count": 132,
"self": 88.18893193500344,
"children": {
"TorchPPOOptimizer.update": {
"total": 70.75894437600482,
"count": 6798,
"self": 70.75894437600482
}
}
}
}
}
}
},
"trainer_threads": {
"total": 9.159994078800082e-07,
"count": 1,
"self": 9.159994078800082e-07
},
"TrainerController._save_models": {
"total": 0.08449728199957462,
"count": 1,
"self": 0.001875213999483094,
"children": {
"RLTrainer._checkpoint": {
"total": 0.08262206800009153,
"count": 1,
"self": 0.08262206800009153
}
}
}
}
}
}
}