ppo-Pyramids / run_logs /timers.json
Uxinnn's picture
First Push
6b44bdd
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.35916367173194885,
"min": 0.35916367173194885,
"max": 1.5352976322174072,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 10843.869140625,
"min": 10843.869140625,
"max": 46574.7890625,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989907.0,
"min": 29952.0,
"max": 989907.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989907.0,
"min": 29952.0,
"max": 989907.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.6247797012329102,
"min": -0.1523773968219757,
"max": 0.6904860138893127,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 176.18788146972656,
"min": -36.113441467285156,
"max": 200.24093627929688,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.03212345018982887,
"min": -0.025862297043204308,
"max": 0.29317232966423035,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 9.058813095092773,
"min": -7.267305374145508,
"max": 69.48184204101562,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06649921104655647,
"min": 0.06649921104655647,
"max": 0.07583984071530692,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9309889546517905,
"min": 0.48044906557827316,
"max": 1.0661472712721054,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.015261379526540015,
"min": 0.00037708136872773176,
"max": 0.017823695468859643,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.21365931337156022,
"min": 0.004147895056005049,
"max": 0.263527518104335,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.45464751515e-06,
"min": 7.45464751515e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.0001043650652121,
"min": 0.0001043650652121,
"max": 0.0031392461535847006,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10248485000000003,
"min": 0.10248485000000003,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4347879000000003,
"min": 1.3691136000000002,
"max": 2.4011228,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.00025823651500000007,
"min": 0.00025823651500000007,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.003615311210000001,
"min": 0.003615311210000001,
"max": 0.10466688847,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.011630422435700893,
"min": 0.011612421832978725,
"max": 0.2621047794818878,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.16282591223716736,
"min": 0.162573903799057,
"max": 1.8347333669662476,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 288.8,
"min": 288.8,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 28880.0,
"min": 15984.0,
"max": 33034.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.6711839861422777,
"min": -1.0000000521540642,
"max": 1.689229400134554,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 167.11839861422777,
"min": -32.000001668930054,
"max": 172.30139881372452,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.6711839861422777,
"min": -1.0000000521540642,
"max": 1.689229400134554,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 167.11839861422777,
"min": -32.000001668930054,
"max": 172.30139881372452,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.03486514454241842,
"min": 0.03486514454241842,
"max": 5.360377009958029,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 3.486514454241842,
"min": 3.486514454241842,
"max": 85.76603215932846,
"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": "1685981017",
"python_version": "3.10.11 (main, Apr 5 2023, 14:15:10) [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": "1685983230"
},
"total": 2213.4242458090002,
"count": 1,
"self": 0.77372498800014,
"children": {
"run_training.setup": {
"total": 0.04218314900003861,
"count": 1,
"self": 0.04218314900003861
},
"TrainerController.start_learning": {
"total": 2212.608337672,
"count": 1,
"self": 1.3409053449076964,
"children": {
"TrainerController._reset_env": {
"total": 5.002522475999967,
"count": 1,
"self": 5.002522475999967
},
"TrainerController.advance": {
"total": 2206.1253407350914,
"count": 63954,
"self": 1.3470337251283127,
"children": {
"env_step": {
"total": 1576.5241454280194,
"count": 63954,
"self": 1470.254612979036,
"children": {
"SubprocessEnvManager._take_step": {
"total": 105.44092440994268,
"count": 63954,
"self": 4.676467569959414,
"children": {
"TorchPolicy.evaluate": {
"total": 100.76445683998327,
"count": 62563,
"self": 100.76445683998327
}
}
},
"workers": {
"total": 0.8286080390407733,
"count": 63954,
"self": 0.0,
"children": {
"worker_root": {
"total": 2207.4895596070514,
"count": 63954,
"is_parallel": true,
"self": 848.1161771770408,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0024054339999111107,
"count": 1,
"is_parallel": true,
"self": 0.0006625199998779863,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0017429140000331245,
"count": 8,
"is_parallel": true,
"self": 0.0017429140000331245
}
}
},
"UnityEnvironment.step": {
"total": 0.04624083800013068,
"count": 1,
"is_parallel": true,
"self": 0.0005112580001878086,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0004730709999876126,
"count": 1,
"is_parallel": true,
"self": 0.0004730709999876126
},
"communicator.exchange": {
"total": 0.04351633999999649,
"count": 1,
"is_parallel": true,
"self": 0.04351633999999649
},
"steps_from_proto": {
"total": 0.0017401689999587688,
"count": 1,
"is_parallel": true,
"self": 0.0003513759995712462,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0013887930003875226,
"count": 8,
"is_parallel": true,
"self": 0.0013887930003875226
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1359.3733824300107,
"count": 63953,
"is_parallel": true,
"self": 31.404930342913076,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 22.359911578010042,
"count": 63953,
"is_parallel": true,
"self": 22.359911578010042
},
"communicator.exchange": {
"total": 1209.032719148057,
"count": 63953,
"is_parallel": true,
"self": 1209.032719148057
},
"steps_from_proto": {
"total": 96.57582136103065,
"count": 63953,
"is_parallel": true,
"self": 19.712231652878927,
"children": {
"_process_rank_one_or_two_observation": {
"total": 76.86358970815172,
"count": 511624,
"is_parallel": true,
"self": 76.86358970815172
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 628.2541615819439,
"count": 63954,
"self": 2.5495651179201104,
"children": {
"process_trajectory": {
"total": 106.1508125700243,
"count": 63954,
"self": 105.90639588002477,
"children": {
"RLTrainer._checkpoint": {
"total": 0.24441668999952526,
"count": 2,
"self": 0.24441668999952526
}
}
},
"_update_policy": {
"total": 519.5537838939995,
"count": 441,
"self": 337.9785042679864,
"children": {
"TorchPPOOptimizer.update": {
"total": 181.57527962601307,
"count": 22836,
"self": 181.57527962601307
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.347000306850532e-06,
"count": 1,
"self": 1.347000306850532e-06
},
"TrainerController._save_models": {
"total": 0.13956776900022305,
"count": 1,
"self": 0.0018047390003630426,
"children": {
"RLTrainer._checkpoint": {
"total": 0.13776302999986,
"count": 1,
"self": 0.13776302999986
}
}
}
}
}
}
}