Pyramids / run_logs /timers.json
hey-its-nk's picture
First commit of Pyramids
c34f4bf verified
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.5284208059310913,
"min": 0.5284208059310913,
"max": 1.4849109649658203,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 15869.533203125,
"min": 15869.533203125,
"max": 45046.2578125,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989922.0,
"min": 29952.0,
"max": 989922.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989922.0,
"min": 29952.0,
"max": 989922.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.4880548119544983,
"min": -0.08041174709796906,
"max": 0.5582343339920044,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 131.2867431640625,
"min": -19.379230499267578,
"max": 153.51443481445312,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.03111603483557701,
"min": -0.004508709069341421,
"max": 0.3195103108882904,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 8.370213508605957,
"min": -1.1948078870773315,
"max": 75.72394561767578,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06480169403302069,
"min": 0.06464056181856719,
"max": 0.07471829460554232,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9720254104953103,
"min": 0.4971419343719495,
"max": 1.0460561244775923,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.012113029369114276,
"min": 0.0003495639108002467,
"max": 0.01632132755046422,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.18169544053671416,
"min": 0.00314607519720222,
"max": 0.22849858570649909,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.5278774907399975e-06,
"min": 7.5278774907399975e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00011291816236109997,
"min": 0.00011291816236109997,
"max": 0.0032584784138406,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10250926000000002,
"min": 0.10250926000000002,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.5376389000000004,
"min": 1.3886848,
"max": 2.4860916,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.0002606750739999999,
"min": 0.0002606750739999999,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.003910126109999999,
"min": 0.003910126109999999,
"max": 0.10864055084000002,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.01451638713479042,
"min": 0.01451638713479042,
"max": 0.34321460127830505,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.2177458107471466,
"min": 0.2090751826763153,
"max": 2.4025022983551025,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 378.05,
"min": 344.6385542168675,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 30244.0,
"min": 15984.0,
"max": 32369.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.5218474868685008,
"min": -1.0000000521540642,
"max": 1.6291058681467,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 121.74779894948006,
"min": -31.998401656746864,
"max": 138.4739987924695,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.5218474868685008,
"min": -1.0000000521540642,
"max": 1.6291058681467,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 121.74779894948006,
"min": -31.998401656746864,
"max": 138.4739987924695,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.055966997491486835,
"min": 0.0536967123971622,
"max": 6.505170843563974,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 4.477359799318947,
"min": 4.477359799318947,
"max": 104.08273349702358,
"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": "1752595067",
"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",
"mlagents_version": "1.2.0.dev0",
"mlagents_envs_version": "1.2.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "2.7.1+cu126",
"numpy_version": "1.23.5",
"end_time_seconds": "1752597457"
},
"total": 2389.834612516,
"count": 1,
"self": 0.536401202999059,
"children": {
"run_training.setup": {
"total": 0.02104367100014315,
"count": 1,
"self": 0.02104367100014315
},
"TrainerController.start_learning": {
"total": 2389.2771676420007,
"count": 1,
"self": 1.5829970000195317,
"children": {
"TrainerController._reset_env": {
"total": 2.375355157000058,
"count": 1,
"self": 2.375355157000058
},
"TrainerController.advance": {
"total": 2385.2259904179805,
"count": 63760,
"self": 1.721807648038066,
"children": {
"env_step": {
"total": 1679.3813456739715,
"count": 63760,
"self": 1509.6298870460641,
"children": {
"SubprocessEnvManager._take_step": {
"total": 168.73279918102548,
"count": 63760,
"self": 5.051166997004884,
"children": {
"TorchPolicy.evaluate": {
"total": 163.6816321840206,
"count": 62574,
"self": 163.6816321840206
}
}
},
"workers": {
"total": 1.018659446881884,
"count": 63760,
"self": 0.0,
"children": {
"worker_root": {
"total": 2381.4236291319394,
"count": 63760,
"is_parallel": true,
"self": 1001.4106096558321,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0020314489997872442,
"count": 1,
"is_parallel": true,
"self": 0.0006350929995733168,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0013963560002139275,
"count": 8,
"is_parallel": true,
"self": 0.0013963560002139275
}
}
},
"UnityEnvironment.step": {
"total": 0.10839608599985695,
"count": 1,
"is_parallel": true,
"self": 0.0005547029998069775,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0004673649998494511,
"count": 1,
"is_parallel": true,
"self": 0.0004673649998494511
},
"communicator.exchange": {
"total": 0.10561517300016021,
"count": 1,
"is_parallel": true,
"self": 0.10561517300016021
},
"steps_from_proto": {
"total": 0.00175884500004031,
"count": 1,
"is_parallel": true,
"self": 0.0003555650000635069,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.001403279999976803,
"count": 8,
"is_parallel": true,
"self": 0.001403279999976803
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1380.0130194761073,
"count": 63759,
"is_parallel": true,
"self": 34.69901654918772,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 25.70651782400728,
"count": 63759,
"is_parallel": true,
"self": 25.70651782400728
},
"communicator.exchange": {
"total": 1210.7029252979235,
"count": 63759,
"is_parallel": true,
"self": 1210.7029252979235
},
"steps_from_proto": {
"total": 108.90455980498882,
"count": 63759,
"is_parallel": true,
"self": 23.05567895506556,
"children": {
"_process_rank_one_or_two_observation": {
"total": 85.84888084992326,
"count": 510072,
"is_parallel": true,
"self": 85.84888084992326
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 704.1228370959709,
"count": 63760,
"self": 2.8584653739649184,
"children": {
"process_trajectory": {
"total": 136.8139476780127,
"count": 63760,
"self": 136.6036074510123,
"children": {
"RLTrainer._checkpoint": {
"total": 0.21034022700041533,
"count": 2,
"self": 0.21034022700041533
}
}
},
"_update_policy": {
"total": 564.4504240439933,
"count": 443,
"self": 316.2543889019546,
"children": {
"TorchPPOOptimizer.update": {
"total": 248.19603514203868,
"count": 22803,
"self": 248.19603514203868
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.1130005077575333e-06,
"count": 1,
"self": 1.1130005077575333e-06
},
"TrainerController._save_models": {
"total": 0.09282395399986854,
"count": 1,
"self": 0.0012350710003374843,
"children": {
"RLTrainer._checkpoint": {
"total": 0.09158888299953105,
"count": 1,
"self": 0.09158888299953105
}
}
}
}
}
}
}