ppo-Pyramids / run_logs /timers.json
Sergendel's picture
First Push
5bd5c80
raw
history blame
18.7 kB
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.47647625207901,
"min": 0.4703928530216217,
"max": 1.4778077602386475,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 14126.568359375,
"min": 14126.568359375,
"max": 44830.77734375,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989944.0,
"min": 29952.0,
"max": 989944.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989944.0,
"min": 29952.0,
"max": 989944.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.09673085063695908,
"min": -0.10418783873319626,
"max": 0.1480855792760849,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 23.98925018310547,
"min": -25.005081176757812,
"max": 37.31756591796875,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.07545746117830276,
"min": -0.02154764160513878,
"max": 0.45023784041404724,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 18.713449478149414,
"min": -5.386910438537598,
"max": 106.70636749267578,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06826556749910596,
"min": 0.06405026209089987,
"max": 0.07485475299785475,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9557179449874834,
"min": 0.4865711059945839,
"max": 1.053522759700404,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.007872157828629595,
"min": 8.705279137967656e-05,
"max": 0.008552701834127046,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.11021020960081433,
"min": 0.0011316862879357952,
"max": 0.11973782567777864,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.302204708821429e-06,
"min": 7.302204708821429e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00010223086592350001,
"min": 0.00010223086592350001,
"max": 0.0035079686306772,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.1024340357142857,
"min": 0.1024340357142857,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4340765,
"min": 1.327104,
"max": 2.5693228,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.0002531601678571429,
"min": 0.0002531601678571429,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.0035442423500000003,
"min": 0.0035442423500000003,
"max": 0.11695534772000002,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.013297267258167267,
"min": 0.013297267258167267,
"max": 0.40652650594711304,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.18616174161434174,
"min": 0.18616174161434174,
"max": 2.8456854820251465,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 754.7631578947369,
"min": 679.2727272727273,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 28681.0,
"min": 15984.0,
"max": 32839.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 0.21304611536936882,
"min": -1.0000000521540642,
"max": 0.5837394969407902,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 8.308798499405384,
"min": -32.000001668930054,
"max": 25.10079836845398,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 0.21304611536936882,
"min": -1.0000000521540642,
"max": 0.5837394969407902,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 8.308798499405384,
"min": -32.000001668930054,
"max": 25.10079836845398,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.10342532117964509,
"min": 0.09636587493370699,
"max": 8.65759839117527,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 4.033587526006158,
"min": 4.033587526006158,
"max": 138.52157425880432,
"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": "1682523393",
"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": "1682525469"
},
"total": 2075.862905726,
"count": 1,
"self": 0.4742682800001603,
"children": {
"run_training.setup": {
"total": 0.10588852999990195,
"count": 1,
"self": 0.10588852999990195
},
"TrainerController.start_learning": {
"total": 2075.282748916,
"count": 1,
"self": 1.2992539859960743,
"children": {
"TrainerController._reset_env": {
"total": 3.732118653000043,
"count": 1,
"self": 3.732118653000043
},
"TrainerController.advance": {
"total": 2070.160367733004,
"count": 63300,
"self": 1.3539181910464322,
"children": {
"env_step": {
"total": 1442.5740042350171,
"count": 63300,
"self": 1339.00506144304,
"children": {
"SubprocessEnvManager._take_step": {
"total": 102.72036689304673,
"count": 63300,
"self": 4.601454368100349,
"children": {
"TorchPolicy.evaluate": {
"total": 98.11891252494638,
"count": 62560,
"self": 98.11891252494638
}
}
},
"workers": {
"total": 0.8485758989304486,
"count": 63300,
"self": 0.0,
"children": {
"worker_root": {
"total": 2070.4980956379627,
"count": 63300,
"is_parallel": true,
"self": 838.990533957943,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.001805150000109279,
"count": 1,
"is_parallel": true,
"self": 0.0005683240001417289,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0012368259999675502,
"count": 8,
"is_parallel": true,
"self": 0.0012368259999675502
}
}
},
"UnityEnvironment.step": {
"total": 0.0507011050001438,
"count": 1,
"is_parallel": true,
"self": 0.0005967640001927066,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0005316069998571038,
"count": 1,
"is_parallel": true,
"self": 0.0005316069998571038
},
"communicator.exchange": {
"total": 0.047836638000035236,
"count": 1,
"is_parallel": true,
"self": 0.047836638000035236
},
"steps_from_proto": {
"total": 0.001736096000058751,
"count": 1,
"is_parallel": true,
"self": 0.00037544099996011937,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0013606550000986317,
"count": 8,
"is_parallel": true,
"self": 0.0013606550000986317
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1231.5075616800198,
"count": 63299,
"is_parallel": true,
"self": 31.457113281018337,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 21.9380766470058,
"count": 63299,
"is_parallel": true,
"self": 21.9380766470058
},
"communicator.exchange": {
"total": 1088.0371952179764,
"count": 63299,
"is_parallel": true,
"self": 1088.0371952179764
},
"steps_from_proto": {
"total": 90.07517653401919,
"count": 63299,
"is_parallel": true,
"self": 18.923784181030896,
"children": {
"_process_rank_one_or_two_observation": {
"total": 71.1513923529883,
"count": 506392,
"is_parallel": true,
"self": 71.1513923529883
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 626.2324453069402,
"count": 63300,
"self": 2.383568186965931,
"children": {
"process_trajectory": {
"total": 103.3419721709729,
"count": 63300,
"self": 103.08993013897316,
"children": {
"RLTrainer._checkpoint": {
"total": 0.2520420319997356,
"count": 2,
"self": 0.2520420319997356
}
}
},
"_update_policy": {
"total": 520.5069049490014,
"count": 435,
"self": 337.6159242629742,
"children": {
"TorchPPOOptimizer.update": {
"total": 182.8909806860272,
"count": 22791,
"self": 182.8909806860272
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.0170001587539446e-06,
"count": 1,
"self": 1.0170001587539446e-06
},
"TrainerController._save_models": {
"total": 0.09100752699987424,
"count": 1,
"self": 0.0015558849995613855,
"children": {
"RLTrainer._checkpoint": {
"total": 0.08945164200031286,
"count": 1,
"self": 0.08945164200031286
}
}
}
}
}
}
}