Pyramids / run_logs /timers.json
Corianas's picture
FirstTry
f9d7468
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.21305184066295624,
"min": 0.21279378235340118,
"max": 1.406337857246399,
"count": 74
},
"Pyramids.Policy.Entropy.sum": {
"value": 6394.9638671875,
"min": 6342.95703125,
"max": 42662.6640625,
"count": 74
},
"Pyramids.Step.mean": {
"value": 2219894.0,
"min": 29952.0,
"max": 2219894.0,
"count": 74
},
"Pyramids.Step.sum": {
"value": 2219894.0,
"min": 29952.0,
"max": 2219894.0,
"count": 74
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.7108884453773499,
"min": -0.10718224197626114,
"max": 0.7917513251304626,
"count": 74
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 204.73587036132812,
"min": -25.830921173095703,
"max": 232.68447875976562,
"count": 74
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": -0.002068731002509594,
"min": -0.022476624697446823,
"max": 0.718090832233429,
"count": 74
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": -0.5957944989204407,
"min": -6.315931797027588,
"max": 170.18753051757812,
"count": 74
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06896385410024473,
"min": 0.06306390306313656,
"max": 0.07312573167369041,
"count": 74
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 1.034457811503671,
"min": 0.505250734832384,
"max": 1.0886483086893957,
"count": 74
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.014182371119709892,
"min": 0.00018780713212033948,
"max": 0.022046837682957454,
"count": 74
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.2127355667956484,
"min": 0.0024414927175644132,
"max": 0.2347687060742721,
"count": 74
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.948783350407998e-05,
"min": 7.948783350407998e-05,
"max": 0.00029838354339596195,
"count": 74
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.0011923175025611997,
"min": 0.0011554058148650665,
"max": 0.0039690149769950325,
"count": 74
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.12649592,
"min": 0.12649592,
"max": 0.19946118095238097,
"count": 74
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.8974388000000002,
"min": 1.3962282666666668,
"max": 2.797435233333333,
"count": 74
},
"Pyramids.Policy.Beta.mean": {
"value": 0.002656942408,
"min": 0.002656942408,
"max": 0.009946171977142856,
"count": 74
},
"Pyramids.Policy.Beta.sum": {
"value": 0.03985413612,
"min": 0.03861497984,
"max": 0.13230819617,
"count": 74
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.004872409626841545,
"min": 0.004872409626841545,
"max": 0.5501860976219177,
"count": 74
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.07308614253997803,
"min": 0.06851315498352051,
"max": 3.8513028621673584,
"count": 74
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 267.92857142857144,
"min": 239.40869565217392,
"max": 999.0,
"count": 74
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 30008.0,
"min": 15984.0,
"max": 32628.0,
"count": 74
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.6952178411717926,
"min": -1.0000000521540642,
"max": 1.756663780145604,
"count": 74
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 189.86439821124077,
"min": -32.000001668930054,
"max": 218.70319747924805,
"count": 74
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.6952178411717926,
"min": -1.0000000521540642,
"max": 1.756663780145604,
"count": 74
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 189.86439821124077,
"min": -32.000001668930054,
"max": 218.70319747924805,
"count": 74
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.020227364534548542,
"min": 0.0186800462162927,
"max": 17.862700942903757,
"count": 74
},
"Pyramids.Policy.RndReward.sum": {
"value": 2.2654648278694367,
"min": 2.166885361089953,
"max": 285.8032150864601,
"count": 74
},
"Pyramids.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 74
},
"Pyramids.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 74
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1679311364",
"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 --force --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": "1679316493"
},
"total": 5128.685583266,
"count": 1,
"self": 0.37654672500138986,
"children": {
"run_training.setup": {
"total": 0.19419290999985606,
"count": 1,
"self": 0.19419290999985606
},
"TrainerController.start_learning": {
"total": 5128.1148436309995,
"count": 1,
"self": 2.993000362969724,
"children": {
"TrainerController._reset_env": {
"total": 5.96526085000005,
"count": 1,
"self": 5.96526085000005
},
"TrainerController.advance": {
"total": 5119.012813234029,
"count": 145098,
"self": 3.3753958423458243,
"children": {
"env_step": {
"total": 3750.0977920628043,
"count": 145098,
"self": 3513.8051432639236,
"children": {
"SubprocessEnvManager._take_step": {
"total": 234.46264572097107,
"count": 145098,
"self": 10.283723418860973,
"children": {
"TorchPolicy.evaluate": {
"total": 224.1789223021101,
"count": 140391,
"self": 224.1789223021101
}
}
},
"workers": {
"total": 1.8300030779096232,
"count": 145098,
"self": 0.0,
"children": {
"worker_root": {
"total": 5118.116264883935,
"count": 145098,
"is_parallel": true,
"self": 1859.8603183498399,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.002644625999892014,
"count": 1,
"is_parallel": true,
"self": 0.0007174199995461095,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0019272060003459046,
"count": 8,
"is_parallel": true,
"self": 0.0019272060003459046
}
}
},
"UnityEnvironment.step": {
"total": 0.0464308959999471,
"count": 1,
"is_parallel": true,
"self": 0.0005561479993048124,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0004710110001724388,
"count": 1,
"is_parallel": true,
"self": 0.0004710110001724388
},
"communicator.exchange": {
"total": 0.04371357200034254,
"count": 1,
"is_parallel": true,
"self": 0.04371357200034254
},
"steps_from_proto": {
"total": 0.0016901650001273083,
"count": 1,
"is_parallel": true,
"self": 0.000376553001387947,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0013136119987393613,
"count": 8,
"is_parallel": true,
"self": 0.0013136119987393613
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 3258.2559465340955,
"count": 145097,
"is_parallel": true,
"self": 68.57586587011201,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 49.47966687392545,
"count": 145097,
"is_parallel": true,
"self": 49.47966687392545
},
"communicator.exchange": {
"total": 2939.0468410551134,
"count": 145097,
"is_parallel": true,
"self": 2939.0468410551134
},
"steps_from_proto": {
"total": 201.15357273494465,
"count": 145097,
"is_parallel": true,
"self": 42.925451134095965,
"children": {
"_process_rank_one_or_two_observation": {
"total": 158.22812160084868,
"count": 1160776,
"is_parallel": true,
"self": 158.22812160084868
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 1365.539625328879,
"count": 145098,
"self": 5.832565513886038,
"children": {
"process_trajectory": {
"total": 260.18479623999565,
"count": 145098,
"self": 259.80453503099534,
"children": {
"RLTrainer._checkpoint": {
"total": 0.38026120900030946,
"count": 4,
"self": 0.38026120900030946
}
}
},
"_update_policy": {
"total": 1099.5222635749974,
"count": 1034,
"self": 699.7570022299469,
"children": {
"TorchPPOOptimizer.update": {
"total": 399.7652613450505,
"count": 51205,
"self": 399.7652613450505
}
}
}
}
}
}
},
"trainer_threads": {
"total": 3.5860002753906883e-06,
"count": 1,
"self": 3.5860002753906883e-06
},
"TrainerController._save_models": {
"total": 0.14376559800075484,
"count": 1,
"self": 0.0038810860005469294,
"children": {
"RLTrainer._checkpoint": {
"total": 0.1398845120002079,
"count": 1,
"self": 0.1398845120002079
}
}
}
}
}
}
}