PPO-Pyramids / run_logs /timers.json
Feldi's picture
PPO-Pyramids1
00154f9
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.3083731234073639,
"min": 0.2819095551967621,
"max": 1.5033849477767944,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 9221.58984375,
"min": 8407.6708984375,
"max": 45606.6875,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989916.0,
"min": 29952.0,
"max": 989916.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989916.0,
"min": 29952.0,
"max": 989916.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.6321502923965454,
"min": -0.20968802273273468,
"max": 0.6674749255180359,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 178.89852905273438,
"min": -49.69606018066406,
"max": 185.5580291748047,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.045854352414608,
"min": -0.06799323111772537,
"max": 0.19505244493484497,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 12.976781845092773,
"min": -18.902118682861328,
"max": 47.00764083862305,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06815691671234912,
"min": 0.06625544378412979,
"max": 0.07429323598567286,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9541968339728877,
"min": 0.4820589693634498,
"max": 1.0995228199699698,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.017440044884649834,
"min": 0.00035465923545834245,
"max": 0.017440044884649834,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.2441606283850977,
"min": 0.004965229296416795,
"max": 0.2441606283850977,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.317976132135718e-06,
"min": 7.317976132135718e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00010245166584990005,
"min": 0.00010245166584990005,
"max": 0.003371559176147,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10243929285714289,
"min": 0.10243929285714289,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4341501000000003,
"min": 1.3886848,
"max": 2.5724587,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.0002536853564285715,
"min": 0.0002536853564285715,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.003551594990000001,
"min": 0.003551594990000001,
"max": 0.11240291470000001,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.011477920226752758,
"min": 0.011477920226752758,
"max": 0.3019520342350006,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.16069088876247406,
"min": 0.16069088876247406,
"max": 2.113664150238037,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 289.13,
"min": 289.13,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 28913.0,
"min": 15984.0,
"max": 32583.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.6708559803664684,
"min": -1.0000000521540642,
"max": 1.6833073586225509,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 167.08559803664684,
"min": -30.533001720905304,
"max": 167.08559803664684,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.6708559803664684,
"min": -1.0000000521540642,
"max": 1.6833073586225509,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 167.08559803664684,
"min": -30.533001720905304,
"max": 167.08559803664684,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.034490513347082016,
"min": 0.034490513347082016,
"max": 5.952148897573352,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 3.4490513347082015,
"min": 3.4490513347082015,
"max": 95.23438236117363,
"count": 33
},
"Pyramids.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 33
},
"Pyramids.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 33
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1678779615",
"python_version": "3.9.16 (main, Dec 7 2022, 01:11:51) \n[GCC 9.4.0]",
"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",
"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": "1678783313"
},
"total": 3698.624179746,
"count": 1,
"self": 0.9841866519996074,
"children": {
"run_training.setup": {
"total": 0.174266962000047,
"count": 1,
"self": 0.174266962000047
},
"TrainerController.start_learning": {
"total": 3697.4657261320003,
"count": 1,
"self": 2.7501394329301547,
"children": {
"TrainerController._reset_env": {
"total": 4.840658382000129,
"count": 1,
"self": 4.840658382000129
},
"TrainerController.advance": {
"total": 3689.6861928870703,
"count": 64129,
"self": 2.4269271272369224,
"children": {
"env_step": {
"total": 2445.279825059886,
"count": 64129,
"self": 2284.3272187569974,
"children": {
"SubprocessEnvManager._take_step": {
"total": 159.2832908698872,
"count": 64129,
"self": 7.205864889854865,
"children": {
"TorchPolicy.evaluate": {
"total": 152.07742598003233,
"count": 62555,
"self": 152.07742598003233
}
}
},
"workers": {
"total": 1.6693154330016569,
"count": 64129,
"self": 0.0,
"children": {
"worker_root": {
"total": 3689.624627186004,
"count": 64129,
"is_parallel": true,
"self": 1608.202089112,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0033286599998518795,
"count": 1,
"is_parallel": true,
"self": 0.0013354189998153743,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0019932410000365053,
"count": 8,
"is_parallel": true,
"self": 0.0019932410000365053
}
}
},
"UnityEnvironment.step": {
"total": 0.07476793099999668,
"count": 1,
"is_parallel": true,
"self": 0.0006946879998395161,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.00066309200019532,
"count": 1,
"is_parallel": true,
"self": 0.00066309200019532
},
"communicator.exchange": {
"total": 0.07094438299986905,
"count": 1,
"is_parallel": true,
"self": 0.07094438299986905
},
"steps_from_proto": {
"total": 0.002465768000092794,
"count": 1,
"is_parallel": true,
"self": 0.0005378239998208301,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0019279440002719639,
"count": 8,
"is_parallel": true,
"self": 0.0019279440002719639
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 2081.422538074004,
"count": 64128,
"is_parallel": true,
"self": 46.93465869490865,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 31.94051156905516,
"count": 64128,
"is_parallel": true,
"self": 31.94051156905516
},
"communicator.exchange": {
"total": 1848.7325163190594,
"count": 64128,
"is_parallel": true,
"self": 1848.7325163190594
},
"steps_from_proto": {
"total": 153.8148514909808,
"count": 64128,
"is_parallel": true,
"self": 36.54262573117899,
"children": {
"_process_rank_one_or_two_observation": {
"total": 117.27222575980181,
"count": 513024,
"is_parallel": true,
"self": 117.27222575980181
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 1241.9794406999474,
"count": 64129,
"self": 4.976941886015766,
"children": {
"process_trajectory": {
"total": 182.76708277092985,
"count": 64129,
"self": 182.4230888389302,
"children": {
"RLTrainer._checkpoint": {
"total": 0.34399393199964834,
"count": 2,
"self": 0.34399393199964834
}
}
},
"_update_policy": {
"total": 1054.2354160430018,
"count": 450,
"self": 452.7237084280264,
"children": {
"TorchPPOOptimizer.update": {
"total": 601.5117076149754,
"count": 22815,
"self": 601.5117076149754
}
}
}
}
}
}
},
"trainer_threads": {
"total": 2.6799998522619717e-06,
"count": 1,
"self": 2.6799998522619717e-06
},
"TrainerController._save_models": {
"total": 0.18873274999987188,
"count": 1,
"self": 0.0029940439999336377,
"children": {
"RLTrainer._checkpoint": {
"total": 0.18573870599993825,
"count": 1,
"self": 0.18573870599993825
}
}
}
}
}
}
}