ppo-Pyramid / run_logs /timers.json
cascadenite's picture
First Push
2c91f3d verified
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.33868148922920227,
"min": 0.33868148922920227,
"max": 1.3777344226837158,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 10117.09375,
"min": 10117.09375,
"max": 41794.953125,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989906.0,
"min": 29952.0,
"max": 989906.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989906.0,
"min": 29952.0,
"max": 989906.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.3354318141937256,
"min": -0.09333772957324982,
"max": 0.42438462376594543,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 88.55400085449219,
"min": -22.40105438232422,
"max": 114.58384704589844,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.012628663331270218,
"min": -0.05736546590924263,
"max": 0.29756245017051697,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 3.3339672088623047,
"min": -14.915020942687988,
"max": 70.71188354492188,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06330667053851825,
"min": 0.06330667053851825,
"max": 0.07276136423960063,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.8862933875392555,
"min": 0.4784811694337585,
"max": 1.0192073220193074,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.01199462507420245,
"min": 0.000681335807328648,
"max": 0.01445068260196306,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.1679247510388343,
"min": 0.0047693506513005355,
"max": 0.20230955642748286,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.680526011285714e-06,
"min": 7.680526011285714e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.000107527364158,
"min": 0.000107527364158,
"max": 0.003375223974925399,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10256014285714286,
"min": 0.10256014285714286,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.435842,
"min": 1.3691136000000002,
"max": 2.4853102000000002,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.00026575827142857146,
"min": 0.00026575827142857146,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.0037206158000000003,
"min": 0.0037206158000000003,
"max": 0.11252495254,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.010018088854849339,
"min": 0.010018088854849339,
"max": 0.468504935503006,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.1402532458305359,
"min": 0.1402532458305359,
"max": 3.2795345783233643,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 480.0983606557377,
"min": 434.72463768115944,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 29286.0,
"min": 15984.0,
"max": 32327.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.2575180169011726,
"min": -1.0000000521540642,
"max": 1.4893937284359708,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 76.70859903097153,
"min": -32.000001668930054,
"max": 95.88499871641397,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.2575180169011726,
"min": -1.0000000521540642,
"max": 1.4893937284359708,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 76.70859903097153,
"min": -32.000001668930054,
"max": 95.88499871641397,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.04973049529400639,
"min": 0.046205047617175816,
"max": 9.239449052140117,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 3.0335602129343897,
"min": 3.0335602129343897,
"max": 147.83118483424187,
"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": "1722063057",
"python_version": "3.10.12 (main, Mar 22 2024, 16:50:05) [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": "2.3.1+cu121",
"numpy_version": "1.23.5",
"end_time_seconds": "1722065445"
},
"total": 2388.872450245,
"count": 1,
"self": 0.9734802919997492,
"children": {
"run_training.setup": {
"total": 0.06444327000002659,
"count": 1,
"self": 0.06444327000002659
},
"TrainerController.start_learning": {
"total": 2387.834526683,
"count": 1,
"self": 1.8516109030083499,
"children": {
"TrainerController._reset_env": {
"total": 3.112256306000006,
"count": 1,
"self": 3.112256306000006
},
"TrainerController.advance": {
"total": 2382.7269239249918,
"count": 63599,
"self": 2.0515540609480922,
"children": {
"env_step": {
"total": 1685.6943189220458,
"count": 63599,
"self": 1516.3934095910563,
"children": {
"SubprocessEnvManager._take_step": {
"total": 168.1107849480208,
"count": 63599,
"self": 5.877355973048452,
"children": {
"TorchPolicy.evaluate": {
"total": 162.23342897497236,
"count": 62558,
"self": 162.23342897497236
}
}
},
"workers": {
"total": 1.1901243829685768,
"count": 63599,
"self": 0.0,
"children": {
"worker_root": {
"total": 2381.386304543997,
"count": 63599,
"is_parallel": true,
"self": 1020.5219337450271,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0076053220000176225,
"count": 1,
"is_parallel": true,
"self": 0.005923467000002347,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0016818550000152754,
"count": 8,
"is_parallel": true,
"self": 0.0016818550000152754
}
}
},
"UnityEnvironment.step": {
"total": 0.05479555699997718,
"count": 1,
"is_parallel": true,
"self": 0.0007095229999549701,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0005428549999919596,
"count": 1,
"is_parallel": true,
"self": 0.0005428549999919596
},
"communicator.exchange": {
"total": 0.05176948200005427,
"count": 1,
"is_parallel": true,
"self": 0.05176948200005427
},
"steps_from_proto": {
"total": 0.0017736969999759822,
"count": 1,
"is_parallel": true,
"self": 0.00038195299987364706,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0013917440001023351,
"count": 8,
"is_parallel": true,
"self": 0.0013917440001023351
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1360.86437079897,
"count": 63598,
"is_parallel": true,
"self": 40.03084074593926,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 26.939076107988342,
"count": 63598,
"is_parallel": true,
"self": 26.939076107988342
},
"communicator.exchange": {
"total": 1177.9677646690336,
"count": 63598,
"is_parallel": true,
"self": 1177.9677646690336
},
"steps_from_proto": {
"total": 115.9266892760088,
"count": 63598,
"is_parallel": true,
"self": 25.372031842967488,
"children": {
"_process_rank_one_or_two_observation": {
"total": 90.55465743304131,
"count": 508784,
"is_parallel": true,
"self": 90.55465743304131
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 694.9810509419979,
"count": 63599,
"self": 3.6161587550302556,
"children": {
"process_trajectory": {
"total": 143.01521473996314,
"count": 63599,
"self": 142.68410102796275,
"children": {
"RLTrainer._checkpoint": {
"total": 0.33111371200038775,
"count": 2,
"self": 0.33111371200038775
}
}
},
"_update_policy": {
"total": 548.3496774470045,
"count": 447,
"self": 326.6941437839842,
"children": {
"TorchPPOOptimizer.update": {
"total": 221.65553366302032,
"count": 22773,
"self": 221.65553366302032
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.4289998944150284e-06,
"count": 1,
"self": 1.4289998944150284e-06
},
"TrainerController._save_models": {
"total": 0.1437341200003175,
"count": 1,
"self": 0.002053634000276361,
"children": {
"RLTrainer._checkpoint": {
"total": 0.14168048600004113,
"count": 1,
"self": 0.14168048600004113
}
}
}
}
}
}
}