PyramidsRND / run_logs /timers.json
PanoEvJ's picture
First training
654146f
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.24506981670856476,
"min": 0.241383358836174,
"max": 1.4179835319519043,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 7359.9365234375,
"min": 7218.328125,
"max": 43015.94921875,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989964.0,
"min": 29988.0,
"max": 989964.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989964.0,
"min": 29988.0,
"max": 989964.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.5139384865760803,
"min": -0.08903287351131439,
"max": 0.6125004887580872,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 139.79127502441406,
"min": -21.367889404296875,
"max": 169.76962280273438,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.023036247119307518,
"min": 0.016653509810566902,
"max": 0.3332921862602234,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 6.265859127044678,
"min": 4.596368789672852,
"max": 79.32353973388672,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.0669921828181638,
"min": 0.06526319732335499,
"max": 0.07474776324669333,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9378905594542932,
"min": 0.5232343427268533,
"max": 1.0838191963654633,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.016409799418137742,
"min": 6.211209941257566e-05,
"max": 0.016409799418137742,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.2297371918539284,
"min": 0.0005590088947131809,
"max": 0.23743053100285277,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.278290431078573e-06,
"min": 7.278290431078573e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00010189606603510002,
"min": 0.00010189606603510002,
"max": 0.0036341953886016,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10242606428571431,
"min": 0.10242606428571431,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4339649000000003,
"min": 1.3886848,
"max": 2.6113984,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.00025236382214285723,
"min": 0.00025236382214285723,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.003533093510000001,
"min": 0.003533093510000001,
"max": 0.12115870016000001,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.011055772192776203,
"min": 0.011019249446690083,
"max": 0.5061588883399963,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.1547808051109314,
"min": 0.1547808051109314,
"max": 3.54311203956604,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 344.9529411764706,
"min": 308.67021276595744,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 29321.0,
"min": 16787.0,
"max": 33323.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.5623767216538273,
"min": -0.9999742455059483,
"max": 1.64985955601677,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 134.36439806222916,
"min": -31.998401656746864,
"max": 157.68279846012592,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.5623767216538273,
"min": -0.9999742455059483,
"max": 1.64985955601677,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 134.36439806222916,
"min": -31.998401656746864,
"max": 157.68279846012592,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.039896355555758295,
"min": 0.03745720751805336,
"max": 9.62196639486972,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 3.431086577795213,
"min": 3.431086577795213,
"max": 163.57342871278524,
"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": "1683488478",
"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": "1683490816"
},
"total": 2338.780038045,
"count": 1,
"self": 0.4740612259993213,
"children": {
"run_training.setup": {
"total": 0.04080725599942525,
"count": 1,
"self": 0.04080725599942525
},
"TrainerController.start_learning": {
"total": 2338.265169563001,
"count": 1,
"self": 1.5309565789730186,
"children": {
"TrainerController._reset_env": {
"total": 5.113940167999317,
"count": 1,
"self": 5.113940167999317
},
"TrainerController.advance": {
"total": 2331.487815901027,
"count": 64047,
"self": 1.473818019941973,
"children": {
"env_step": {
"total": 1669.3526847670455,
"count": 64047,
"self": 1551.208181942131,
"children": {
"SubprocessEnvManager._take_step": {
"total": 117.26552390898087,
"count": 64047,
"self": 4.79033876468111,
"children": {
"TorchPolicy.evaluate": {
"total": 112.47518514429976,
"count": 62566,
"self": 112.47518514429976
}
}
},
"workers": {
"total": 0.8789789159336578,
"count": 64047,
"self": 0.0,
"children": {
"worker_root": {
"total": 2332.3673347649055,
"count": 64047,
"is_parallel": true,
"self": 899.3011065539768,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.002138265999747091,
"count": 1,
"is_parallel": true,
"self": 0.000491739001517999,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.001646526998229092,
"count": 8,
"is_parallel": true,
"self": 0.001646526998229092
}
}
},
"UnityEnvironment.step": {
"total": 0.04512970699943253,
"count": 1,
"is_parallel": true,
"self": 0.000506116999531514,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0004488020003918791,
"count": 1,
"is_parallel": true,
"self": 0.0004488020003918791
},
"communicator.exchange": {
"total": 0.04255613799978164,
"count": 1,
"is_parallel": true,
"self": 0.04255613799978164
},
"steps_from_proto": {
"total": 0.001618649999727495,
"count": 1,
"is_parallel": true,
"self": 0.0003552329999365611,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.001263416999790934,
"count": 8,
"is_parallel": true,
"self": 0.001263416999790934
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1433.0662282109288,
"count": 64046,
"is_parallel": true,
"self": 32.150363692963765,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 22.664865339063,
"count": 64046,
"is_parallel": true,
"self": 22.664865339063
},
"communicator.exchange": {
"total": 1278.7326714070705,
"count": 64046,
"is_parallel": true,
"self": 1278.7326714070705
},
"steps_from_proto": {
"total": 99.51832777183154,
"count": 64046,
"is_parallel": true,
"self": 20.479833020986916,
"children": {
"_process_rank_one_or_two_observation": {
"total": 79.03849475084462,
"count": 512368,
"is_parallel": true,
"self": 79.03849475084462
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 660.6613131140393,
"count": 64047,
"self": 2.767265515875806,
"children": {
"process_trajectory": {
"total": 108.5859701151785,
"count": 64047,
"self": 108.25465404917759,
"children": {
"RLTrainer._checkpoint": {
"total": 0.3313160660009089,
"count": 2,
"self": 0.3313160660009089
}
}
},
"_update_policy": {
"total": 549.308077482985,
"count": 452,
"self": 346.81208176593464,
"children": {
"TorchPPOOptimizer.update": {
"total": 202.4959957170504,
"count": 22770,
"self": 202.4959957170504
}
}
}
}
}
}
},
"trainer_threads": {
"total": 9.760005923453718e-07,
"count": 1,
"self": 9.760005923453718e-07
},
"TrainerController._save_models": {
"total": 0.13245593900137465,
"count": 1,
"self": 0.0024143980008375365,
"children": {
"RLTrainer._checkpoint": {
"total": 0.1300415410005371,
"count": 1,
"self": 0.1300415410005371
}
}
}
}
}
}
}