Pyramids-ppo / run_logs /timers.json
lorenzorod88's picture
Push to Hub
5571624 verified
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.6312389969825745,
"min": 0.6312389969825745,
"max": 1.4798674583435059,
"count": 16
},
"Pyramids.Policy.Entropy.sum": {
"value": 19017.96875,
"min": 19017.96875,
"max": 44893.2578125,
"count": 16
},
"Pyramids.Step.mean": {
"value": 479967.0,
"min": 29952.0,
"max": 479967.0,
"count": 16
},
"Pyramids.Step.sum": {
"value": 479967.0,
"min": 29952.0,
"max": 479967.0,
"count": 16
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": -0.04320937767624855,
"min": -0.1650649756193161,
"max": -0.04320937767624855,
"count": 16
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": -10.413459777832031,
"min": -39.120399475097656,
"max": -10.413459777832031,
"count": 16
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.023276491090655327,
"min": 0.020585069432854652,
"max": 0.3167571425437927,
"count": 16
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 5.6096343994140625,
"min": 4.9404168128967285,
"max": 76.02171325683594,
"count": 16
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06825308732089068,
"min": 0.06565373146722542,
"max": 0.07217240106241397,
"count": 16
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9555432224924695,
"min": 0.5023168953130257,
"max": 0.9706860109822432,
"count": 16
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.0020275836428604145,
"min": 0.00019976022404016454,
"max": 0.011533955031952106,
"count": 16
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.028386171000045802,
"min": 0.0027966431365623037,
"max": 0.08073768522366474,
"count": 16
},
"Pyramids.Policy.LearningRate.mean": {
"value": 2.1136550097371428e-05,
"min": 2.1136550097371428e-05,
"max": 0.00029030126037577137,
"count": 16
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.0002959117013632,
"min": 0.0002959117013632,
"max": 0.0028478618507128003,
"count": 16
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10704548571428571,
"min": 0.10704548571428571,
"max": 0.19676708571428575,
"count": 16
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4986367999999999,
"min": 1.3382272,
"max": 2.338055,
"count": 16
},
"Pyramids.Policy.Beta.mean": {
"value": 0.0007138440228571429,
"min": 0.0007138440228571429,
"max": 0.00967703186285714,
"count": 16
},
"Pyramids.Policy.Beta.sum": {
"value": 0.00999381632,
"min": 0.00999381632,
"max": 0.09495379127999996,
"count": 16
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.01940550096333027,
"min": 0.01940550096333027,
"max": 0.537930428981781,
"count": 16
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.27167701721191406,
"min": 0.27167701721191406,
"max": 3.7655131816864014,
"count": 16
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 960.1212121212121,
"min": 903.1851851851852,
"max": 999.0,
"count": 16
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 31684.0,
"min": 15984.0,
"max": 32360.0,
"count": 16
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": -0.718303084147699,
"min": -1.0000000521540642,
"max": -0.4583059314857511,
"count": 16
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": -23.704001776874065,
"min": -32.000001668930054,
"max": -12.402401193976402,
"count": 16
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": -0.718303084147699,
"min": -1.0000000521540642,
"max": -0.4583059314857511,
"count": 16
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": -23.704001776874065,
"min": -32.000001668930054,
"max": -12.402401193976402,
"count": 16
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.1896194520434647,
"min": 0.1896194520434647,
"max": 12.725671171210706,
"count": 16
},
"Pyramids.Policy.RndReward.sum": {
"value": 6.257441917434335,
"min": 6.257441917434335,
"max": 203.6107387393713,
"count": 16
},
"Pyramids.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 16
},
"Pyramids.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 16
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1724864970",
"python_version": "3.10.12 (main, Jul 29 2024, 16:56:48) [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 Training2 --no-graphics",
"mlagents_version": "1.1.0.dev0",
"mlagents_envs_version": "1.1.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "2.4.0+cu121",
"numpy_version": "1.23.5",
"end_time_seconds": "1724866051"
},
"total": 1081.515794761,
"count": 1,
"self": 0.47680288199990173,
"children": {
"run_training.setup": {
"total": 0.05311954300009347,
"count": 1,
"self": 0.05311954300009347
},
"TrainerController.start_learning": {
"total": 1080.985872336,
"count": 1,
"self": 0.6935020249838999,
"children": {
"TrainerController._reset_env": {
"total": 1.72458831799986,
"count": 1,
"self": 1.72458831799986
},
"TrainerController.advance": {
"total": 1078.479021980016,
"count": 31544,
"self": 0.6886810120017799,
"children": {
"env_step": {
"total": 735.2812559690174,
"count": 31544,
"self": 656.4873832720507,
"children": {
"SubprocessEnvManager._take_step": {
"total": 78.37407559397366,
"count": 31544,
"self": 2.413550496960397,
"children": {
"TorchPolicy.evaluate": {
"total": 75.96052509701326,
"count": 31319,
"self": 75.96052509701326
}
}
},
"workers": {
"total": 0.41979710299301587,
"count": 31544,
"self": 0.0,
"children": {
"worker_root": {
"total": 1078.365320248991,
"count": 31544,
"is_parallel": true,
"self": 482.2823866830049,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.001966704999858848,
"count": 1,
"is_parallel": true,
"self": 0.0005958489996373828,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0013708560002214654,
"count": 8,
"is_parallel": true,
"self": 0.0013708560002214654
}
}
},
"UnityEnvironment.step": {
"total": 0.06317123899998478,
"count": 1,
"is_parallel": true,
"self": 0.0006486729998869123,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0005018510000809329,
"count": 1,
"is_parallel": true,
"self": 0.0005018510000809329
},
"communicator.exchange": {
"total": 0.06020810600011828,
"count": 1,
"is_parallel": true,
"self": 0.06020810600011828
},
"steps_from_proto": {
"total": 0.0018126089998986572,
"count": 1,
"is_parallel": true,
"self": 0.00040580799941380974,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0014068010004848475,
"count": 8,
"is_parallel": true,
"self": 0.0014068010004848475
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 596.0829335659862,
"count": 31543,
"is_parallel": true,
"self": 17.040681140945935,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 11.856495124032108,
"count": 31543,
"is_parallel": true,
"self": 11.856495124032108
},
"communicator.exchange": {
"total": 516.8297125670113,
"count": 31543,
"is_parallel": true,
"self": 516.8297125670113
},
"steps_from_proto": {
"total": 50.356044733996896,
"count": 31543,
"is_parallel": true,
"self": 10.207620108108813,
"children": {
"_process_rank_one_or_two_observation": {
"total": 40.14842462588808,
"count": 252344,
"is_parallel": true,
"self": 40.14842462588808
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 342.50908499899674,
"count": 31544,
"self": 1.1521001630271712,
"children": {
"process_trajectory": {
"total": 64.55026601497048,
"count": 31544,
"self": 64.42133511197062,
"children": {
"RLTrainer._checkpoint": {
"total": 0.12893090299985488,
"count": 1,
"self": 0.12893090299985488
}
}
},
"_update_policy": {
"total": 276.8067188209991,
"count": 209,
"self": 156.66627787899415,
"children": {
"TorchPPOOptimizer.update": {
"total": 120.14044094200494,
"count": 11442,
"self": 120.14044094200494
}
}
}
}
}
}
},
"trainer_threads": {
"total": 9.25000222196104e-07,
"count": 1,
"self": 9.25000222196104e-07
},
"TrainerController._save_models": {
"total": 0.08875908800018806,
"count": 1,
"self": 0.0013799280004604952,
"children": {
"RLTrainer._checkpoint": {
"total": 0.08737915999972756,
"count": 1,
"self": 0.08737915999972756
}
}
}
}
}
}
}