ppo-Pyramids / run_logs /timers.json
aw-infoprojekt's picture
First Push
33a4f42 verified
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.6614677309989929,
"min": 0.624437153339386,
"max": 1.4495316743850708,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 20066.28515625,
"min": 18623.212890625,
"max": 43972.9921875,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989878.0,
"min": 29952.0,
"max": 989878.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989878.0,
"min": 29952.0,
"max": 989878.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.17816321551799774,
"min": -0.09843263775110245,
"max": 0.24956122040748596,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 45.96611022949219,
"min": -23.62383270263672,
"max": 64.38679504394531,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.04464343190193176,
"min": 0.014565401710569859,
"max": 0.42815732955932617,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 11.51800537109375,
"min": 3.75787353515625,
"max": 101.4732894897461,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06673291528464428,
"min": 0.06385992573149367,
"max": 0.07487885772154966,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.93426081398502,
"min": 0.5028726533774538,
"max": 1.0483040081016952,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.013219503633774278,
"min": 5.7436506656377785e-05,
"max": 0.013219503633774278,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.1850730508728399,
"min": 0.000804111093189289,
"max": 0.1850730508728399,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.614933176007141e-06,
"min": 7.614933176007141e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00010660906446409997,
"min": 0.00010660906446409997,
"max": 0.0034940305353231994,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10253827857142858,
"min": 0.10253827857142858,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4355359,
"min": 1.3691136000000002,
"max": 2.4646767999999994,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.00026357402928571424,
"min": 0.00026357402928571424,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.003690036409999999,
"min": 0.003690036409999999,
"max": 0.11648121232000001,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.0158916674554348,
"min": 0.014994309283792973,
"max": 0.5486355423927307,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.2224833369255066,
"min": 0.20992033183574677,
"max": 3.8404488563537598,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 594.0566037735849,
"min": 594.0566037735849,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 31485.0,
"min": 15984.0,
"max": 32936.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 0.9907207171309669,
"min": -1.0000000521540642,
"max": 1.0021450662729787,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 52.508198007941246,
"min": -32.000001668930054,
"max": 52.508198007941246,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 0.9907207171309669,
"min": -1.0000000521540642,
"max": 1.0021450662729787,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 52.508198007941246,
"min": -32.000001668930054,
"max": 52.508198007941246,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.09674923490504471,
"min": 0.09674923490504471,
"max": 11.81224724277854,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 5.127709449967369,
"min": 4.499935531057417,
"max": 188.99595588445663,
"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": "1714116828",
"python_version": "3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]",
"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": "1.1.0.dev0",
"mlagents_envs_version": "1.1.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "2.2.1+cu121",
"numpy_version": "1.23.5",
"end_time_seconds": "1714119890"
},
"total": 3062.287625334,
"count": 1,
"self": 0.65410189000022,
"children": {
"run_training.setup": {
"total": 0.087654821000001,
"count": 1,
"self": 0.087654821000001
},
"TrainerController.start_learning": {
"total": 3061.545868623,
"count": 1,
"self": 2.2441152770070403,
"children": {
"TrainerController._reset_env": {
"total": 4.225094906999971,
"count": 1,
"self": 4.225094906999971
},
"TrainerController.advance": {
"total": 3054.989217508993,
"count": 63332,
"self": 2.5817324849608667,
"children": {
"env_step": {
"total": 2020.3300071510266,
"count": 63332,
"self": 1861.6892714400128,
"children": {
"SubprocessEnvManager._take_step": {
"total": 157.22398245807676,
"count": 63332,
"self": 6.824593044162384,
"children": {
"TorchPolicy.evaluate": {
"total": 150.39938941391438,
"count": 62566,
"self": 150.39938941391438
}
}
},
"workers": {
"total": 1.4167532529371556,
"count": 63332,
"self": 0.0,
"children": {
"worker_root": {
"total": 3054.1762206250282,
"count": 63332,
"is_parallel": true,
"self": 1374.7828476889988,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.008965269999976044,
"count": 1,
"is_parallel": true,
"self": 0.006739219999985835,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0022260499999902095,
"count": 8,
"is_parallel": true,
"self": 0.0022260499999902095
}
}
},
"UnityEnvironment.step": {
"total": 0.09563753400004771,
"count": 1,
"is_parallel": true,
"self": 0.0007888110000067172,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0005246489999990445,
"count": 1,
"is_parallel": true,
"self": 0.0005246489999990445
},
"communicator.exchange": {
"total": 0.09065382100004626,
"count": 1,
"is_parallel": true,
"self": 0.09065382100004626
},
"steps_from_proto": {
"total": 0.0036702529999956823,
"count": 1,
"is_parallel": true,
"self": 0.0020254469998235436,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0016448060001721387,
"count": 8,
"is_parallel": true,
"self": 0.0016448060001721387
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1679.3933729360294,
"count": 63331,
"is_parallel": true,
"self": 51.37976593402777,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 31.00340303296923,
"count": 63331,
"is_parallel": true,
"self": 31.00340303296923
},
"communicator.exchange": {
"total": 1464.5999816950332,
"count": 63331,
"is_parallel": true,
"self": 1464.5999816950332
},
"steps_from_proto": {
"total": 132.41022227399924,
"count": 63331,
"is_parallel": true,
"self": 28.64218533688245,
"children": {
"_process_rank_one_or_two_observation": {
"total": 103.76803693711679,
"count": 506648,
"is_parallel": true,
"self": 103.76803693711679
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 1032.0774778730056,
"count": 63332,
"self": 4.391738416962653,
"children": {
"process_trajectory": {
"total": 158.54828890603847,
"count": 63332,
"self": 158.30263998103862,
"children": {
"RLTrainer._checkpoint": {
"total": 0.24564892499984126,
"count": 2,
"self": 0.24564892499984126
}
}
},
"_update_policy": {
"total": 869.1374505500045,
"count": 446,
"self": 356.568977969986,
"children": {
"TorchPPOOptimizer.update": {
"total": 512.5684725800185,
"count": 22857,
"self": 512.5684725800185
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.2629998309421353e-06,
"count": 1,
"self": 1.2629998309421353e-06
},
"TrainerController._save_models": {
"total": 0.08743966700012606,
"count": 1,
"self": 0.0022515660002682125,
"children": {
"RLTrainer._checkpoint": {
"total": 0.08518810099985785,
"count": 1,
"self": 0.08518810099985785
}
}
}
}
}
}
}