testpyramidsrnd / run_logs /timers.json
auriolar's picture
First Pyramids
e7bed1e
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.8169429898262024,
"min": 0.806969165802002,
"max": 1.4370100498199463,
"count": 16
},
"Pyramids.Policy.Entropy.sum": {
"value": 24469.076171875,
"min": 24234.8984375,
"max": 43593.13671875,
"count": 16
},
"Pyramids.Step.mean": {
"value": 479940.0,
"min": 29952.0,
"max": 479940.0,
"count": 16
},
"Pyramids.Step.sum": {
"value": 479940.0,
"min": 29952.0,
"max": 479940.0,
"count": 16
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.04986242949962616,
"min": -0.15822254121303558,
"max": 0.04986242949962616,
"count": 16
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 12.316020011901855,
"min": -37.498741149902344,
"max": 12.316020011901855,
"count": 16
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.010365001857280731,
"min": 0.010365001857280731,
"max": 0.34018850326538086,
"count": 16
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 2.5601553916931152,
"min": 2.5601553916931152,
"max": 80.62467193603516,
"count": 16
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.07044651500819739,
"min": 0.06684678239791,
"max": 0.0724389859115289,
"count": 16
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9862512101147634,
"min": 0.48608461938378256,
"max": 1.0065559870403662,
"count": 16
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.006891457082842646,
"min": 0.0002047633932934106,
"max": 0.006891457082842646,
"count": 16
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.09648039915979705,
"min": 0.0022523973262275165,
"max": 0.09648039915979705,
"count": 16
},
"Pyramids.Policy.LearningRate.mean": {
"value": 2.104787869835714e-05,
"min": 2.104787869835714e-05,
"max": 0.00029030126037577137,
"count": 16
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00029467030177699995,
"min": 0.00029467030177699995,
"max": 0.0030613525795492,
"count": 16
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10701592857142858,
"min": 0.10701592857142858,
"max": 0.19676708571428575,
"count": 16
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.498223,
"min": 1.3773696000000002,
"max": 2.338242,
"count": 16
},
"Pyramids.Policy.Beta.mean": {
"value": 0.0007108912642857145,
"min": 0.0007108912642857145,
"max": 0.00967703186285714,
"count": 16
},
"Pyramids.Policy.Beta.sum": {
"value": 0.009952477700000002,
"min": 0.009952477700000002,
"max": 0.10206303491999999,
"count": 16
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.016652943566441536,
"min": 0.016652943566441536,
"max": 0.2874681055545807,
"count": 16
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.2331411987543106,
"min": 0.2331411987543106,
"max": 2.0122766494750977,
"count": 16
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 788.5,
"min": 788.5,
"max": 999.0,
"count": 16
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 28386.0,
"min": 15984.0,
"max": 32485.0,
"count": 16
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 0.21122774129940403,
"min": -1.0000000521540642,
"max": 0.21122774129940403,
"count": 16
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 7.604198686778545,
"min": -31.99920167028904,
"max": 7.604198686778545,
"count": 16
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 0.21122774129940403,
"min": -1.0000000521540642,
"max": 0.21122774129940403,
"count": 16
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 7.604198686778545,
"min": -31.99920167028904,
"max": 7.604198686778545,
"count": 16
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.13601157856788226,
"min": 0.13601157856788226,
"max": 5.298088546842337,
"count": 16
},
"Pyramids.Policy.RndReward.sum": {
"value": 4.896416828443762,
"min": 4.896416828443762,
"max": 84.76941674947739,
"count": 16
},
"Pyramids.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 16
},
"Pyramids.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 16
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1658302366",
"python_version": "3.7.13 (default, Apr 24 2022, 01:04:09) \n[GCC 7.5.0]",
"command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/PyramidsRND.yaml --env=./trained-envs-executables/linux/Pyramids/Pyramids --run-id=Pyramids Training --no-graphics",
"mlagents_version": "0.29.0.dev0",
"mlagents_envs_version": "0.29.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "1.8.1+cu102",
"numpy_version": "1.21.6",
"end_time_seconds": "1658303644"
},
"total": 1278.1808403619998,
"count": 1,
"self": 0.5433971499999188,
"children": {
"run_training.setup": {
"total": 0.04995043399998167,
"count": 1,
"self": 0.04995043399998167
},
"TrainerController.start_learning": {
"total": 1277.5874927779998,
"count": 1,
"self": 1.100050795013658,
"children": {
"TrainerController._reset_env": {
"total": 11.867765102000021,
"count": 1,
"self": 11.867765102000021
},
"TrainerController.advance": {
"total": 1264.5073676609861,
"count": 31569,
"self": 1.224909814977309,
"children": {
"env_step": {
"total": 837.1348374540222,
"count": 31569,
"self": 759.5768583050055,
"children": {
"SubprocessEnvManager._take_step": {
"total": 76.9726208750007,
"count": 31569,
"self": 3.096678221994523,
"children": {
"TorchPolicy.evaluate": {
"total": 73.87594265300618,
"count": 31314,
"self": 24.900829790007094,
"children": {
"TorchPolicy.sample_actions": {
"total": 48.97511286299908,
"count": 31314,
"self": 48.97511286299908
}
}
}
}
},
"workers": {
"total": 0.5853582740160164,
"count": 31569,
"self": 0.0,
"children": {
"worker_root": {
"total": 1274.8497632750054,
"count": 31569,
"is_parallel": true,
"self": 584.9230296140405,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.005344230999980937,
"count": 1,
"is_parallel": true,
"self": 0.003953152999940812,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0013910780000401246,
"count": 8,
"is_parallel": true,
"self": 0.0013910780000401246
}
}
},
"UnityEnvironment.step": {
"total": 0.06146187199999531,
"count": 1,
"is_parallel": true,
"self": 0.0006461890000650783,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.000527735999980905,
"count": 1,
"is_parallel": true,
"self": 0.000527735999980905
},
"communicator.exchange": {
"total": 0.05796244499998693,
"count": 1,
"is_parallel": true,
"self": 0.05796244499998693
},
"steps_from_proto": {
"total": 0.0023255019999623983,
"count": 1,
"is_parallel": true,
"self": 0.0005187510000723705,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0018067509998900277,
"count": 8,
"is_parallel": true,
"self": 0.0018067509998900277
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 689.9267336609649,
"count": 31568,
"is_parallel": true,
"self": 19.040213349004148,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 14.625543335003726,
"count": 31568,
"is_parallel": true,
"self": 14.625543335003726
},
"communicator.exchange": {
"total": 597.562182493971,
"count": 31568,
"is_parallel": true,
"self": 597.562182493971
},
"steps_from_proto": {
"total": 58.6987944829861,
"count": 31568,
"is_parallel": true,
"self": 15.45118869398192,
"children": {
"_process_rank_one_or_two_observation": {
"total": 43.24760578900418,
"count": 252544,
"is_parallel": true,
"self": 43.24760578900418
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 426.1476203919866,
"count": 31569,
"self": 1.8935426410019431,
"children": {
"process_trajectory": {
"total": 95.29461102898443,
"count": 31569,
"self": 95.17260518098459,
"children": {
"RLTrainer._checkpoint": {
"total": 0.12200584799984426,
"count": 1,
"self": 0.12200584799984426
}
}
},
"_update_policy": {
"total": 328.95946672200023,
"count": 214,
"self": 126.30239331998598,
"children": {
"TorchPPOOptimizer.update": {
"total": 202.65707340201425,
"count": 11436,
"self": 202.65707340201425
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.1859999631269602e-06,
"count": 1,
"self": 1.1859999631269602e-06
},
"TrainerController._save_models": {
"total": 0.11230803400007972,
"count": 1,
"self": 0.001862529000163704,
"children": {
"RLTrainer._checkpoint": {
"total": 0.11044550499991601,
"count": 1,
"self": 0.11044550499991601
}
}
}
}
}
}
}