acrenn's picture
PyramidsTraining
1396b93
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.4145159423351288,
"min": 0.39505794644355774,
"max": 1.4615728855133057,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 12481.904296875,
"min": 11769.56640625,
"max": 44338.2734375,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989956.0,
"min": 29952.0,
"max": 989956.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989956.0,
"min": 29952.0,
"max": 989956.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.46841374039649963,
"min": -0.0892973467707634,
"max": 0.518684983253479,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 128.81378173828125,
"min": -21.60995864868164,
"max": 143.6757354736328,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.013625477440655231,
"min": -0.011528671719133854,
"max": 0.2523898780345917,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 3.747006416320801,
"min": -2.9974546432495117,
"max": 59.81639862060547,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.0702229450592616,
"min": 0.06459398017336969,
"max": 0.07259833485853966,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9831212308296624,
"min": 0.49098295995887986,
"max": 1.0589703651494347,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.01816930671477513,
"min": 0.001104623610743517,
"max": 0.01816930671477513,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.25437029400685185,
"min": 0.00773236527520462,
"max": 0.25437029400685185,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.2983904243785715e-06,
"min": 7.2983904243785715e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.0001021774659413,
"min": 0.0001021774659413,
"max": 0.0035079236306922003,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10243276428571428,
"min": 0.10243276428571428,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4340587,
"min": 1.3691136000000002,
"max": 2.5724506000000003,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.0002530331521428572,
"min": 0.0002530331521428572,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.0035424641300000003,
"min": 0.0035424641300000003,
"max": 0.11695384921999999,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.007899971678853035,
"min": 0.007571976166218519,
"max": 0.378082275390625,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.11059960722923279,
"min": 0.11059960722923279,
"max": 2.646575927734375,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 379.1518987341772,
"min": 362.9886363636364,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 29953.0,
"min": 15984.0,
"max": 32732.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.5195518747160706,
"min": -1.0000000521540642,
"max": 1.5460772554136135,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 120.04459810256958,
"min": -32.000001668930054,
"max": 136.054798476398,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.5195518747160706,
"min": -1.0000000521540642,
"max": 1.5460772554136135,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 120.04459810256958,
"min": -32.000001668930054,
"max": 136.054798476398,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.031000774188698094,
"min": 0.031000774188698094,
"max": 7.615291692316532,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 2.4490611609071493,
"min": 2.3408643143775407,
"max": 121.84466707706451,
"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": "1700124838",
"python_version": "3.10.12 (main, Jun 11 2023, 05:26:28) [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=PyramidsTraining --no-graphics",
"mlagents_version": "1.1.0.dev0",
"mlagents_envs_version": "1.1.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "2.1.0+cu118",
"numpy_version": "1.23.5",
"end_time_seconds": "1700127100"
},
"total": 2262.334005138,
"count": 1,
"self": 0.47608266500037644,
"children": {
"run_training.setup": {
"total": 0.0646938320001027,
"count": 1,
"self": 0.0646938320001027
},
"TrainerController.start_learning": {
"total": 2261.7932286409996,
"count": 1,
"self": 1.4105596180024804,
"children": {
"TrainerController._reset_env": {
"total": 4.273941358999991,
"count": 1,
"self": 4.273941358999991
},
"TrainerController.advance": {
"total": 2256.033334690996,
"count": 63888,
"self": 1.5242778130132137,
"children": {
"env_step": {
"total": 1604.6665857659316,
"count": 63888,
"self": 1470.0345779679171,
"children": {
"SubprocessEnvManager._take_step": {
"total": 133.75330558391147,
"count": 63888,
"self": 4.765079610875318,
"children": {
"TorchPolicy.evaluate": {
"total": 128.98822597303615,
"count": 62569,
"self": 128.98822597303615
}
}
},
"workers": {
"total": 0.8787022141029865,
"count": 63888,
"self": 0.0,
"children": {
"worker_root": {
"total": 2257.0660295159328,
"count": 63888,
"is_parallel": true,
"self": 906.4497667690061,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0024804439999570604,
"count": 1,
"is_parallel": true,
"self": 0.0006597030001103121,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0018207409998467483,
"count": 8,
"is_parallel": true,
"self": 0.0018207409998467483
}
}
},
"UnityEnvironment.step": {
"total": 0.04637395700001434,
"count": 1,
"is_parallel": true,
"self": 0.0005705550001948723,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.00045611699988512555,
"count": 1,
"is_parallel": true,
"self": 0.00045611699988512555
},
"communicator.exchange": {
"total": 0.04365029099994899,
"count": 1,
"is_parallel": true,
"self": 0.04365029099994899
},
"steps_from_proto": {
"total": 0.0016969939999853523,
"count": 1,
"is_parallel": true,
"self": 0.0004314080001677212,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.001265585999817631,
"count": 8,
"is_parallel": true,
"self": 0.001265585999817631
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1350.6162627469266,
"count": 63887,
"is_parallel": true,
"self": 34.32827445189946,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 24.082458527934932,
"count": 63887,
"is_parallel": true,
"self": 24.082458527934932
},
"communicator.exchange": {
"total": 1194.5589413890073,
"count": 63887,
"is_parallel": true,
"self": 1194.5589413890073
},
"steps_from_proto": {
"total": 97.64658837808497,
"count": 63887,
"is_parallel": true,
"self": 19.80372555715212,
"children": {
"_process_rank_one_or_two_observation": {
"total": 77.84286282093285,
"count": 511096,
"is_parallel": true,
"self": 77.84286282093285
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 649.8424711120513,
"count": 63888,
"self": 2.6872450780413146,
"children": {
"process_trajectory": {
"total": 122.76566957600858,
"count": 63888,
"self": 122.55870364200769,
"children": {
"RLTrainer._checkpoint": {
"total": 0.20696593400089114,
"count": 2,
"self": 0.20696593400089114
}
}
},
"_update_policy": {
"total": 524.3895564580014,
"count": 451,
"self": 316.9074659940193,
"children": {
"TorchPPOOptimizer.update": {
"total": 207.4820904639821,
"count": 22821,
"self": 207.4820904639821
}
}
}
}
}
}
},
"trainer_threads": {
"total": 9.840005077421665e-07,
"count": 1,
"self": 9.840005077421665e-07
},
"TrainerController._save_models": {
"total": 0.07539198900030897,
"count": 1,
"self": 0.0013340610003069742,
"children": {
"RLTrainer._checkpoint": {
"total": 0.074057928000002,
"count": 1,
"self": 0.074057928000002
}
}
}
}
}
}
}