ppo-Pyramids1 / run_logs /timers.json
Luisfrdz's picture
Primera version Pyramids
2b06e0b
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.38034588098526,
"min": 0.38034588098526,
"max": 1.5413641929626465,
"count": 66
},
"Pyramids.Policy.Entropy.sum": {
"value": 11367.77734375,
"min": 11347.216796875,
"max": 46758.82421875,
"count": 66
},
"Pyramids.Step.mean": {
"value": 989943.0,
"min": 29952.0,
"max": 989943.0,
"count": 66
},
"Pyramids.Step.sum": {
"value": 989943.0,
"min": 29952.0,
"max": 989943.0,
"count": 66
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.2366734892129898,
"min": -0.1582891047000885,
"max": 0.3309483528137207,
"count": 66
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 61.29843521118164,
"min": -37.51451873779297,
"max": 84.7227783203125,
"count": 66
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": -0.03656044602394104,
"min": -0.25130996108055115,
"max": 0.18846359848976135,
"count": 66
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": -9.469155311584473,
"min": -64.83796691894531,
"max": 45.23126220703125,
"count": 66
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06788141211533609,
"min": 0.06624055287809774,
"max": 0.07188534102275777,
"count": 66
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9503397696147053,
"min": 0.48590444282015743,
"max": 1.0506042377194664,
"count": 66
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.013564155482267127,
"min": 0.00016521106460144042,
"max": 0.019684321844709172,
"count": 66
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.18989817675173978,
"min": 0.0016521106460144043,
"max": 0.2755805058259284,
"count": 66
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.379690397278574e-06,
"min": 7.379690397278574e-06,
"max": 0.00029515063018788575,
"count": 66
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00010331566556190004,
"min": 0.00010331566556190004,
"max": 0.0030219734926756,
"count": 66
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.1024598642857143,
"min": 0.1024598642857143,
"max": 0.19838354285714285,
"count": 66
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4344381000000002,
"min": 1.3691136000000002,
"max": 2.3182248,
"count": 66
},
"Pyramids.Policy.Beta.mean": {
"value": 0.00025574044214285717,
"min": 0.00025574044214285717,
"max": 0.00983851593142857,
"count": 66
},
"Pyramids.Policy.Beta.sum": {
"value": 0.0035803661900000007,
"min": 0.0035803661900000007,
"max": 0.10076170756000001,
"count": 66
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.007886596024036407,
"min": 0.007886596024036407,
"max": 0.2885569930076599,
"count": 66
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.1104123443365097,
"min": 0.1104123443365097,
"max": 2.0198988914489746,
"count": 66
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 541.3928571428571,
"min": 522.7068965517242,
"max": 999.0,
"count": 66
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 30318.0,
"min": 15984.0,
"max": 33405.0,
"count": 66
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 0.9941999682092241,
"min": -1.0000000521540642,
"max": 1.2358482429950401,
"count": 66
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 55.67519821971655,
"min": -32.000001668930054,
"max": 71.67919809371233,
"count": 66
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 0.9941999682092241,
"min": -1.0000000521540642,
"max": 1.2358482429950401,
"count": 66
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 55.67519821971655,
"min": -32.000001668930054,
"max": 71.67919809371233,
"count": 66
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.0448177528180947,
"min": 0.0448177528180947,
"max": 5.773372193798423,
"count": 66
},
"Pyramids.Policy.RndReward.sum": {
"value": 2.509794157813303,
"min": 2.343173041634145,
"max": 92.37395510077477,
"count": 66
},
"Pyramids.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 66
},
"Pyramids.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 66
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1678705368",
"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": "0.30.0",
"mlagents_envs_version": "0.30.0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "1.8.1+cu102",
"numpy_version": "1.21.2",
"end_time_seconds": "1678707384"
},
"total": 2016.422110788,
"count": 1,
"self": 0.43708135800011405,
"children": {
"run_training.setup": {
"total": 0.11546557200006191,
"count": 1,
"self": 0.11546557200006191
},
"TrainerController.start_learning": {
"total": 2015.869563858,
"count": 1,
"self": 1.315922294079428,
"children": {
"TrainerController._reset_env": {
"total": 9.562308814000062,
"count": 1,
"self": 9.562308814000062
},
"TrainerController.advance": {
"total": 2004.9057880509206,
"count": 63335,
"self": 1.4386252858851094,
"children": {
"env_step": {
"total": 1384.6090484049892,
"count": 63335,
"self": 1267.8628270299666,
"children": {
"SubprocessEnvManager._take_step": {
"total": 115.90193558099179,
"count": 63335,
"self": 5.301615201987147,
"children": {
"TorchPolicy.evaluate": {
"total": 110.60032037900464,
"count": 62567,
"self": 110.60032037900464
}
}
},
"workers": {
"total": 0.8442857940307249,
"count": 63335,
"self": 0.0,
"children": {
"worker_root": {
"total": 2011.420638815979,
"count": 63335,
"is_parallel": true,
"self": 859.9023666840096,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0021389730000009877,
"count": 1,
"is_parallel": true,
"self": 0.0006224389999260893,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0015165340000748984,
"count": 8,
"is_parallel": true,
"self": 0.0015165340000748984
}
}
},
"UnityEnvironment.step": {
"total": 0.13963642999999593,
"count": 1,
"is_parallel": true,
"self": 0.0005633030000353756,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0005027539999673536,
"count": 1,
"is_parallel": true,
"self": 0.0005027539999673536
},
"communicator.exchange": {
"total": 0.1368526410000186,
"count": 1,
"is_parallel": true,
"self": 0.1368526410000186
},
"steps_from_proto": {
"total": 0.0017177319999746032,
"count": 1,
"is_parallel": true,
"self": 0.0003710759998512003,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.001346656000123403,
"count": 8,
"is_parallel": true,
"self": 0.001346656000123403
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1151.5182721319693,
"count": 63334,
"is_parallel": true,
"self": 31.54017817293129,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 24.281930373047317,
"count": 63334,
"is_parallel": true,
"self": 24.281930373047317
},
"communicator.exchange": {
"total": 999.1012235639962,
"count": 63334,
"is_parallel": true,
"self": 999.1012235639962
},
"steps_from_proto": {
"total": 96.59494002199449,
"count": 63334,
"is_parallel": true,
"self": 20.698782020047815,
"children": {
"_process_rank_one_or_two_observation": {
"total": 75.89615800194667,
"count": 506672,
"is_parallel": true,
"self": 75.89615800194667
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 618.8581143600462,
"count": 63335,
"self": 2.480860432093891,
"children": {
"process_trajectory": {
"total": 122.46243180795034,
"count": 63335,
"self": 122.26027844095017,
"children": {
"RLTrainer._checkpoint": {
"total": 0.2021533670001645,
"count": 2,
"self": 0.2021533670001645
}
}
},
"_update_policy": {
"total": 493.914822120002,
"count": 428,
"self": 307.2833172130232,
"children": {
"TorchPPOOptimizer.update": {
"total": 186.63150490697876,
"count": 22878,
"self": 186.63150490697876
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.0710000424296595e-06,
"count": 1,
"self": 1.0710000424296595e-06
},
"TrainerController._save_models": {
"total": 0.08554362799986848,
"count": 1,
"self": 0.0014075069998398249,
"children": {
"RLTrainer._checkpoint": {
"total": 0.08413612100002865,
"count": 1,
"self": 0.08413612100002865
}
}
}
}
}
}
}