poca-SoccerTwos / run_logs /timers.json
rahul-t-p's picture
Initial Commit
067500c
{
"name": "root",
"gauges": {
"SoccerTwos.Policy.Entropy.mean": {
"value": 3.144447088241577,
"min": 3.144447088241577,
"max": 3.2956929206848145,
"count": 355
},
"SoccerTwos.Policy.Entropy.sum": {
"value": 39947.0546875,
"min": 18880.01953125,
"max": 121548.8125,
"count": 355
},
"SoccerTwos.Environment.EpisodeLength.mean": {
"value": 633.875,
"min": 439.1,
"max": 999.0,
"count": 355
},
"SoccerTwos.Environment.EpisodeLength.sum": {
"value": 20284.0,
"min": 13968.0,
"max": 26520.0,
"count": 355
},
"SoccerTwos.Self-play.ELO.mean": {
"value": 1191.594047871502,
"min": 1185.9035649843918,
"max": 1199.5028730369677,
"count": 269
},
"SoccerTwos.Self-play.ELO.sum": {
"value": 14299.128574458024,
"min": 2372.8095692167844,
"max": 14362.900581238877,
"count": 269
},
"SoccerTwos.Step.mean": {
"value": 3549926.0,
"min": 9276.0,
"max": 3549926.0,
"count": 355
},
"SoccerTwos.Step.sum": {
"value": 3549926.0,
"min": 9276.0,
"max": 3549926.0,
"count": 355
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": {
"value": -0.013288138434290886,
"min": -0.02144741080701351,
"max": 0.05369578301906586,
"count": 355
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": {
"value": -0.21261021494865417,
"min": -0.2960754334926605,
"max": 0.8361341953277588,
"count": 355
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.mean": {
"value": -0.013158649206161499,
"min": -0.02067537046968937,
"max": 0.053638335317373276,
"count": 355
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.sum": {
"value": -0.21053838729858398,
"min": -0.2881663143634796,
"max": 0.8044207096099854,
"count": 355
},
"SoccerTwos.Environment.CumulativeReward.mean": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 355
},
"SoccerTwos.Environment.CumulativeReward.sum": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 355
},
"SoccerTwos.Policy.ExtrinsicReward.mean": {
"value": -0.2597000040113926,
"min": -0.6363636363636364,
"max": 0.28802000284194945,
"count": 355
},
"SoccerTwos.Policy.ExtrinsicReward.sum": {
"value": -4.1552000641822815,
"min": -8.0,
"max": 5.760400056838989,
"count": 355
},
"SoccerTwos.Environment.GroupCumulativeReward.mean": {
"value": -0.2597000040113926,
"min": -0.6363636363636364,
"max": 0.28802000284194945,
"count": 355
},
"SoccerTwos.Environment.GroupCumulativeReward.sum": {
"value": -4.1552000641822815,
"min": -8.0,
"max": 5.760400056838989,
"count": 355
},
"SoccerTwos.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 355
},
"SoccerTwos.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 355
},
"SoccerTwos.Losses.PolicyLoss.mean": {
"value": 0.0211825970094651,
"min": 0.011011536803622827,
"max": 0.02337798193329945,
"count": 165
},
"SoccerTwos.Losses.PolicyLoss.sum": {
"value": 0.0211825970094651,
"min": 0.011011536803622827,
"max": 0.02337798193329945,
"count": 165
},
"SoccerTwos.Losses.ValueLoss.mean": {
"value": 0.0034293286579971513,
"min": 2.7304897230351345e-06,
"max": 0.008026694071789582,
"count": 165
},
"SoccerTwos.Losses.ValueLoss.sum": {
"value": 0.0034293286579971513,
"min": 2.7304897230351345e-06,
"max": 0.008026694071789582,
"count": 165
},
"SoccerTwos.Losses.BaselineLoss.mean": {
"value": 0.0034754222491756082,
"min": 2.701601912728317e-06,
"max": 0.008031302457675337,
"count": 165
},
"SoccerTwos.Losses.BaselineLoss.sum": {
"value": 0.0034754222491756082,
"min": 2.701601912728317e-06,
"max": 0.008031302457675337,
"count": 165
},
"SoccerTwos.Policy.LearningRate.mean": {
"value": 0.0003,
"min": 0.0003,
"max": 0.0003,
"count": 165
},
"SoccerTwos.Policy.LearningRate.sum": {
"value": 0.0003,
"min": 0.0003,
"max": 0.0003,
"count": 165
},
"SoccerTwos.Policy.Epsilon.mean": {
"value": 0.20000000000000007,
"min": 0.2,
"max": 0.20000000000000007,
"count": 165
},
"SoccerTwos.Policy.Epsilon.sum": {
"value": 0.20000000000000007,
"min": 0.2,
"max": 0.20000000000000007,
"count": 165
},
"SoccerTwos.Policy.Beta.mean": {
"value": 0.005000000000000001,
"min": 0.005,
"max": 0.005000000000000001,
"count": 165
},
"SoccerTwos.Policy.Beta.sum": {
"value": 0.005000000000000001,
"min": 0.005,
"max": 0.005000000000000001,
"count": 165
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1675313227",
"python_version": "3.8.15 | packaged by conda-forge | (default, Nov 22 2022, 08:49:35) \n[GCC 10.4.0]",
"command_line_arguments": "/usr/local/bin/mlagents-learn ./config/poca/SoccerTwos.yaml --env=/content/ml-agents/ml-agents/mlagents/training-envs-executables/SoccerTows/SoccerTows.x86_64 --run-id=SoccerTwos --no-graphics --force",
"mlagents_version": "0.31.0.dev0",
"mlagents_envs_version": "0.31.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "1.8.1+cu102",
"numpy_version": "1.21.2",
"end_time_seconds": "1675321471"
},
"total": 8243.666359687999,
"count": 1,
"self": 0.09991793500012136,
"children": {
"run_training.setup": {
"total": 0.039593043999957445,
"count": 1,
"self": 0.039593043999957445
},
"TrainerController.start_learning": {
"total": 8243.526848709,
"count": 1,
"self": 6.254733504023534,
"children": {
"TrainerController._reset_env": {
"total": 6.327788356999008,
"count": 18,
"self": 6.327788356999008
},
"TrainerController.advance": {
"total": 8230.402383417979,
"count": 231345,
"self": 6.6894588662635215,
"children": {
"env_step": {
"total": 6651.9437016586535,
"count": 231345,
"self": 5202.866837339538,
"children": {
"SubprocessEnvManager._take_step": {
"total": 1445.234483483801,
"count": 231345,
"self": 44.2147159702522,
"children": {
"TorchPolicy.evaluate": {
"total": 1401.0197675135487,
"count": 459344,
"self": 1401.0197675135487
}
}
},
"workers": {
"total": 3.842380835314543,
"count": 231345,
"self": 0.0,
"children": {
"worker_root": {
"total": 8225.572103267688,
"count": 231345,
"is_parallel": true,
"self": 3830.2844692186654,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0026728390002972446,
"count": 2,
"is_parallel": true,
"self": 0.0007410939997498645,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0019317450005473802,
"count": 8,
"is_parallel": true,
"self": 0.0019317450005473802
}
}
},
"UnityEnvironment.step": {
"total": 0.07920495600001232,
"count": 1,
"is_parallel": true,
"self": 0.001055844999882538,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0008201519999602169,
"count": 1,
"is_parallel": true,
"self": 0.0008201519999602169
},
"communicator.exchange": {
"total": 0.06653593500004717,
"count": 1,
"is_parallel": true,
"self": 0.06653593500004717
},
"steps_from_proto": {
"total": 0.010793024000122386,
"count": 2,
"is_parallel": true,
"self": 0.0006254220011214784,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.010167601999000908,
"count": 8,
"is_parallel": true,
"self": 0.010167601999000908
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 4395.240563849025,
"count": 231344,
"is_parallel": true,
"self": 224.1757867290089,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 163.15691012905927,
"count": 231344,
"is_parallel": true,
"self": 163.15691012905927
},
"communicator.exchange": {
"total": 3227.778860779885,
"count": 231344,
"is_parallel": true,
"self": 3227.778860779885
},
"steps_from_proto": {
"total": 780.1290062110725,
"count": 462688,
"is_parallel": true,
"self": 144.38221094411483,
"children": {
"_process_rank_one_or_two_observation": {
"total": 635.7467952669576,
"count": 1850752,
"is_parallel": true,
"self": 635.7467952669576
}
}
}
}
},
"steps_from_proto": {
"total": 0.04707019999750628,
"count": 34,
"is_parallel": true,
"self": 0.009743015996264148,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.03732718400124213,
"count": 136,
"is_parallel": true,
"self": 0.03732718400124213
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 1571.7692228930614,
"count": 231345,
"self": 43.19121700917185,
"children": {
"process_trajectory": {
"total": 404.1151300348952,
"count": 231345,
"self": 402.2769509508935,
"children": {
"RLTrainer._checkpoint": {
"total": 1.8381790840016947,
"count": 7,
"self": 1.8381790840016947
}
}
},
"_update_policy": {
"total": 1124.4628758489944,
"count": 166,
"self": 719.5995572830188,
"children": {
"TorchPOCAOptimizer.update": {
"total": 404.86331856597553,
"count": 4956,
"self": 404.86331856597553
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.5799996617715806e-06,
"count": 1,
"self": 1.5799996617715806e-06
},
"TrainerController._save_models": {
"total": 0.5419418499986932,
"count": 1,
"self": 0.002837060997990193,
"children": {
"RLTrainer._checkpoint": {
"total": 0.539104789000703,
"count": 1,
"self": 0.539104789000703
}
}
}
}
}
}
}