pyramids / run_logs /timers.json
timtaotao's picture
pyramids
12d550b
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.6062504649162292,
"min": 0.6062504649162292,
"max": 1.5044150352478027,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 18362.11328125,
"min": 18362.11328125,
"max": 45637.93359375,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989994.0,
"min": 29952.0,
"max": 989994.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989994.0,
"min": 29952.0,
"max": 989994.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.3004736602306366,
"min": -0.11869139224290848,
"max": 0.403157502412796,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 78.12315368652344,
"min": -28.723316192626953,
"max": 107.23989868164062,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": -0.13697269558906555,
"min": -0.13697269558906555,
"max": 0.29885903000831604,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": -35.61289978027344,
"min": -35.61289978027344,
"max": 70.82958984375,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06720543275548128,
"min": 0.06414307272863896,
"max": 0.07372505681373046,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9408760585767381,
"min": 0.4934527312191979,
"max": 1.0769256985901545,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.014498068344913748,
"min": 0.0005441277505770165,
"max": 0.014498068344913748,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.20297295682879246,
"min": 0.004353022004616132,
"max": 0.20297295682879246,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.564490335678568e-06,
"min": 7.564490335678568e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00010590286469949995,
"min": 0.00010590286469949995,
"max": 0.0032236816254395,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10252146428571429,
"min": 0.10252146428571429,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4353005,
"min": 1.3691136000000002,
"max": 2.3592725999999997,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.000261894282142857,
"min": 0.000261894282142857,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.0036665199499999984,
"min": 0.0036665199499999984,
"max": 0.10746859394999998,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.007226922549307346,
"min": 0.007226922549307346,
"max": 0.3170693516731262,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.101176917552948,
"min": 0.101176917552948,
"max": 2.2194855213165283,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 539.6315789473684,
"min": 470.3492063492063,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 30759.0,
"min": 15984.0,
"max": 32695.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.1795718941772193,
"min": -1.0000000521540642,
"max": 1.3708761711678807,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 67.2355979681015,
"min": -32.000001668930054,
"max": 86.36519878357649,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.1795718941772193,
"min": -1.0000000521540642,
"max": 1.3708761711678807,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 67.2355979681015,
"min": -32.000001668930054,
"max": 86.36519878357649,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.04060403006906997,
"min": 0.038298672050344366,
"max": 6.31628477666527,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 2.3144297139369883,
"min": 2.297920323020662,
"max": 101.06055642664433,
"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": "1679910598",
"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": "1679912638"
},
"total": 2039.381435795,
"count": 1,
"self": 0.8492705809999279,
"children": {
"run_training.setup": {
"total": 0.1288634849997834,
"count": 1,
"self": 0.1288634849997834
},
"TrainerController.start_learning": {
"total": 2038.4033017290003,
"count": 1,
"self": 1.2718725699678544,
"children": {
"TrainerController._reset_env": {
"total": 7.329010131000359,
"count": 1,
"self": 7.329010131000359
},
"TrainerController.advance": {
"total": 2029.6636828010323,
"count": 63448,
"self": 1.369906917017488,
"children": {
"env_step": {
"total": 1404.6409445250247,
"count": 63448,
"self": 1300.4712432920323,
"children": {
"SubprocessEnvManager._take_step": {
"total": 103.3917156010234,
"count": 63448,
"self": 4.487019692956437,
"children": {
"TorchPolicy.evaluate": {
"total": 98.90469590806697,
"count": 62576,
"self": 98.90469590806697
}
}
},
"workers": {
"total": 0.7779856319689316,
"count": 63448,
"self": 0.0,
"children": {
"worker_root": {
"total": 2034.2874729140103,
"count": 63448,
"is_parallel": true,
"self": 844.0437514310161,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0025731410000844335,
"count": 1,
"is_parallel": true,
"self": 0.0007599059995300195,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.001813235000554414,
"count": 8,
"is_parallel": true,
"self": 0.001813235000554414
}
}
},
"UnityEnvironment.step": {
"total": 0.046577025999795296,
"count": 1,
"is_parallel": true,
"self": 0.0004970700001649675,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0004483230000005278,
"count": 1,
"is_parallel": true,
"self": 0.0004483230000005278
},
"communicator.exchange": {
"total": 0.04408319799995297,
"count": 1,
"is_parallel": true,
"self": 0.04408319799995297
},
"steps_from_proto": {
"total": 0.0015484349996768287,
"count": 1,
"is_parallel": true,
"self": 0.00035262599976704223,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0011958089999097865,
"count": 8,
"is_parallel": true,
"self": 0.0011958089999097865
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1190.2437214829943,
"count": 63447,
"is_parallel": true,
"self": 30.59192993200486,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 22.688013416060585,
"count": 63447,
"is_parallel": true,
"self": 22.688013416060585
},
"communicator.exchange": {
"total": 1047.8604596649166,
"count": 63447,
"is_parallel": true,
"self": 1047.8604596649166
},
"steps_from_proto": {
"total": 89.10331847001225,
"count": 63447,
"is_parallel": true,
"self": 18.68505618512654,
"children": {
"_process_rank_one_or_two_observation": {
"total": 70.41826228488571,
"count": 507576,
"is_parallel": true,
"self": 70.41826228488571
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 623.6528313589902,
"count": 63448,
"self": 2.3618430740048098,
"children": {
"process_trajectory": {
"total": 114.39431535998165,
"count": 63448,
"self": 114.1500248399816,
"children": {
"RLTrainer._checkpoint": {
"total": 0.24429052000004958,
"count": 2,
"self": 0.24429052000004958
}
}
},
"_update_policy": {
"total": 506.8966729250037,
"count": 439,
"self": 323.0693864280106,
"children": {
"TorchPPOOptimizer.update": {
"total": 183.8272864969931,
"count": 22866,
"self": 183.8272864969931
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.0750000001280569e-06,
"count": 1,
"self": 1.0750000001280569e-06
},
"TrainerController._save_models": {
"total": 0.13873515199975373,
"count": 1,
"self": 0.0018474649996278458,
"children": {
"RLTrainer._checkpoint": {
"total": 0.13688768700012588,
"count": 1,
"self": 0.13688768700012588
}
}
}
}
}
}
}