Pyramids / run_logs /timers.json
OlgaVityuk's picture
Push Pyramids
19fac41
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.566974937915802,
"min": 0.566974937915802,
"max": 1.4878919124603271,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 17063.677734375,
"min": 17063.677734375,
"max": 45136.6875,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989912.0,
"min": 29952.0,
"max": 989912.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989912.0,
"min": 29952.0,
"max": 989912.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.4658448398113251,
"min": -0.10962673276662827,
"max": 0.4658448398113251,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 124.84642028808594,
"min": -26.420042037963867,
"max": 124.84642028808594,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 8.818729838822037e-05,
"min": -0.012685851193964481,
"max": 0.29153934121131897,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 0.02363419532775879,
"min": -3.2222061157226562,
"max": 69.0948257446289,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06546331636907,
"min": 0.06490303629316999,
"max": 0.07337082125249143,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.91648642916698,
"min": 0.4884220254851703,
"max": 1.0399216895360344,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.015518705902477016,
"min": 0.0004439950287837023,
"max": 0.015518705902477016,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.21726188263467822,
"min": 0.00577193537418813,
"max": 0.22561648765501255,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.280733287407141e-06,
"min": 7.280733287407141e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00010193026602369998,
"min": 0.00010193026602369998,
"max": 0.0032580623139792995,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10242687857142856,
"min": 0.10242687857142856,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4339762999999999,
"min": 1.3886848,
"max": 2.4421624,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.00025244516928571426,
"min": 0.00025244516928571426,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.0035342323699999994,
"min": 0.0035342323699999994,
"max": 0.10862346793000001,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.009604522958397865,
"min": 0.009604522958397865,
"max": 0.3958647847175598,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.1344633251428604,
"min": 0.1344633251428604,
"max": 2.7710535526275635,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 433.3,
"min": 417.65277777777777,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 30331.0,
"min": 15984.0,
"max": 32573.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.4530647642595667,
"min": -1.0000000521540642,
"max": 1.4530647642595667,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 103.16759826242924,
"min": -30.99840161204338,
"max": 103.16759826242924,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.4530647642595667,
"min": -1.0000000521540642,
"max": 1.4530647642595667,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 103.16759826242924,
"min": -30.99840161204338,
"max": 103.16759826242924,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.04285186388969264,
"min": 0.04263482952669171,
"max": 8.186559871770442,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 3.0424823361681774,
"min": 3.0270728963951115,
"max": 130.98495794832706,
"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": "1680777219",
"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": "1680779297"
},
"total": 2078.667990549,
"count": 1,
"self": 0.44317462100025296,
"children": {
"run_training.setup": {
"total": 0.1050111099998503,
"count": 1,
"self": 0.1050111099998503
},
"TrainerController.start_learning": {
"total": 2078.119804818,
"count": 1,
"self": 1.428423256037604,
"children": {
"TrainerController._reset_env": {
"total": 3.6331771420000223,
"count": 1,
"self": 3.6331771420000223
},
"TrainerController.advance": {
"total": 2072.958720927963,
"count": 63548,
"self": 1.5146966499969494,
"children": {
"env_step": {
"total": 1458.7550160150995,
"count": 63548,
"self": 1348.771459305151,
"children": {
"SubprocessEnvManager._take_step": {
"total": 109.10004711194233,
"count": 63548,
"self": 4.911477132907294,
"children": {
"TorchPolicy.evaluate": {
"total": 104.18856997903504,
"count": 62562,
"self": 104.18856997903504
}
}
},
"workers": {
"total": 0.8835095980061851,
"count": 63548,
"self": 0.0,
"children": {
"worker_root": {
"total": 2073.127712743932,
"count": 63548,
"is_parallel": true,
"self": 839.8836317158075,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0017176950000248326,
"count": 1,
"is_parallel": true,
"self": 0.0005520130002878432,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0011656819997369894,
"count": 8,
"is_parallel": true,
"self": 0.0011656819997369894
}
}
},
"UnityEnvironment.step": {
"total": 0.04648295100014366,
"count": 1,
"is_parallel": true,
"self": 0.0007246309996844502,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0005319270003383281,
"count": 1,
"is_parallel": true,
"self": 0.0005319270003383281
},
"communicator.exchange": {
"total": 0.04354032300034305,
"count": 1,
"is_parallel": true,
"self": 0.04354032300034305
},
"steps_from_proto": {
"total": 0.0016860699997778283,
"count": 1,
"is_parallel": true,
"self": 0.0003676539995467465,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0013184160002310819,
"count": 8,
"is_parallel": true,
"self": 0.0013184160002310819
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1233.2440810281246,
"count": 63547,
"is_parallel": true,
"self": 32.21417822609874,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 24.046735874936985,
"count": 63547,
"is_parallel": true,
"self": 24.046735874936985
},
"communicator.exchange": {
"total": 1079.654197613063,
"count": 63547,
"is_parallel": true,
"self": 1079.654197613063
},
"steps_from_proto": {
"total": 97.32896931402593,
"count": 63547,
"is_parallel": true,
"self": 20.877511394960948,
"children": {
"_process_rank_one_or_two_observation": {
"total": 76.45145791906498,
"count": 508376,
"is_parallel": true,
"self": 76.45145791906498
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 612.6890082628665,
"count": 63548,
"self": 2.5862980749921007,
"children": {
"process_trajectory": {
"total": 109.2912073168859,
"count": 63548,
"self": 109.08597677288662,
"children": {
"RLTrainer._checkpoint": {
"total": 0.20523054399927787,
"count": 2,
"self": 0.20523054399927787
}
}
},
"_update_policy": {
"total": 500.81150287098853,
"count": 449,
"self": 321.87357364390846,
"children": {
"TorchPPOOptimizer.update": {
"total": 178.93792922708008,
"count": 22851,
"self": 178.93792922708008
}
}
}
}
}
}
},
"trainer_threads": {
"total": 9.609993867343292e-07,
"count": 1,
"self": 9.609993867343292e-07
},
"TrainerController._save_models": {
"total": 0.09948253099992144,
"count": 1,
"self": 0.001422585999534931,
"children": {
"RLTrainer._checkpoint": {
"total": 0.0980599450003865,
"count": 1,
"self": 0.0980599450003865
}
}
}
}
}
}
}