arksenal / run_logs /timers.json
arkadyark's picture
Initial commit
9207268
{
"name": "root",
"gauges": {
"SoccerTwos.Policy.Entropy.mean": {
"value": 1.3616080284118652,
"min": 1.2583924531936646,
"max": 3.295762062072754,
"count": 5000
},
"SoccerTwos.Policy.Entropy.sum": {
"value": 28277.875,
"min": 22359.94140625,
"max": 110288.1953125,
"count": 5000
},
"SoccerTwos.Environment.EpisodeLength.mean": {
"value": 53.07446808510638,
"min": 38.864,
"max": 999.0,
"count": 5000
},
"SoccerTwos.Environment.EpisodeLength.sum": {
"value": 19956.0,
"min": 14884.0,
"max": 25296.0,
"count": 5000
},
"SoccerTwos.Self-play.ELO.mean": {
"value": 1598.0596790498014,
"min": 1195.0944019587976,
"max": 1728.4064925176488,
"count": 4996
},
"SoccerTwos.Self-play.ELO.sum": {
"value": 300435.21966136264,
"min": 2392.146529634802,
"max": 397665.68492539297,
"count": 4996
},
"SoccerTwos.Step.mean": {
"value": 49999920.0,
"min": 9664.0,
"max": 49999920.0,
"count": 5000
},
"SoccerTwos.Step.sum": {
"value": 49999920.0,
"min": 9664.0,
"max": 49999920.0,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": {
"value": -0.025699233636260033,
"min": -0.13865908980369568,
"max": 0.1619817018508911,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": {
"value": -4.805756568908691,
"min": -25.709543228149414,
"max": 27.536890029907227,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.mean": {
"value": -0.026782628148794174,
"min": -0.14225316047668457,
"max": 0.16532564163208008,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.sum": {
"value": -5.0083513259887695,
"min": -25.85490608215332,
"max": 28.10536003112793,
"count": 5000
},
"SoccerTwos.Environment.CumulativeReward.mean": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 5000
},
"SoccerTwos.Environment.CumulativeReward.sum": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicReward.mean": {
"value": -0.04190160373952937,
"min": -0.625,
"max": 0.3768250048160553,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicReward.sum": {
"value": -7.835599899291992,
"min": -67.18280017375946,
"max": 62.96679985523224,
"count": 5000
},
"SoccerTwos.Environment.GroupCumulativeReward.mean": {
"value": -0.04190160373952937,
"min": -0.625,
"max": 0.3768250048160553,
"count": 5000
},
"SoccerTwos.Environment.GroupCumulativeReward.sum": {
"value": -7.835599899291992,
"min": -67.18280017375946,
"max": 62.96679985523224,
"count": 5000
},
"SoccerTwos.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 5000
},
"SoccerTwos.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 5000
},
"SoccerTwos.Losses.PolicyLoss.mean": {
"value": 0.017462212400278076,
"min": 0.009035884733990921,
"max": 0.025665317429229617,
"count": 2425
},
"SoccerTwos.Losses.PolicyLoss.sum": {
"value": 0.017462212400278076,
"min": 0.009035884733990921,
"max": 0.025665317429229617,
"count": 2425
},
"SoccerTwos.Losses.ValueLoss.mean": {
"value": 0.1065414510667324,
"min": 0.0008842718370336418,
"max": 0.12906330823898315,
"count": 2425
},
"SoccerTwos.Losses.ValueLoss.sum": {
"value": 0.1065414510667324,
"min": 0.0008842718370336418,
"max": 0.12906330823898315,
"count": 2425
},
"SoccerTwos.Losses.BaselineLoss.mean": {
"value": 0.10812452683846156,
"min": 0.0008870263952606668,
"max": 0.13241908450921377,
"count": 2425
},
"SoccerTwos.Losses.BaselineLoss.sum": {
"value": 0.10812452683846156,
"min": 0.0008870263952606668,
"max": 0.13241908450921377,
"count": 2425
},
"SoccerTwos.Policy.LearningRate.mean": {
"value": 0.0003,
"min": 0.0003,
"max": 0.0003,
"count": 2425
},
"SoccerTwos.Policy.LearningRate.sum": {
"value": 0.0003,
"min": 0.0003,
"max": 0.0003,
"count": 2425
},
"SoccerTwos.Policy.Epsilon.mean": {
"value": 0.20000000000000007,
"min": 0.20000000000000007,
"max": 0.20000000000000007,
"count": 2425
},
"SoccerTwos.Policy.Epsilon.sum": {
"value": 0.20000000000000007,
"min": 0.20000000000000007,
"max": 0.20000000000000007,
"count": 2425
},
"SoccerTwos.Policy.Beta.mean": {
"value": 0.005000000000000001,
"min": 0.005000000000000001,
"max": 0.005000000000000001,
"count": 2425
},
"SoccerTwos.Policy.Beta.sum": {
"value": 0.005000000000000001,
"min": 0.005000000000000001,
"max": 0.005000000000000001,
"count": 2425
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1683853768",
"python_version": "3.9.16 (main, Mar 8 2023, 14:00:05) \n[GCC 11.2.0]",
"command_line_arguments": "/home/ark/.miniconda3/envs/deep-rl/bin/mlagents-learn ./config/poca/SoccerTwos.yaml --env=./training-envs-executables/SoccerTwos/SoccerTwos.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": "1.11.0+cu113",
"numpy_version": "1.21.2",
"end_time_seconds": "1683906274"
},
"total": 52506.21998502896,
"count": 1,
"self": 0.2684874410042539,
"children": {
"run_training.setup": {
"total": 0.01312148297438398,
"count": 1,
"self": 0.01312148297438398
},
"TrainerController.start_learning": {
"total": 52505.93837610498,
"count": 1,
"self": 61.689565332082566,
"children": {
"TrainerController._reset_env": {
"total": 7.803456781432033,
"count": 250,
"self": 7.803456781432033
},
"TrainerController.advance": {
"total": 52436.307568769495,
"count": 3457468,
"self": 65.59610899613472,
"children": {
"env_step": {
"total": 39085.2176601697,
"count": 3457468,
"self": 29407.445092021197,
"children": {
"SubprocessEnvManager._take_step": {
"total": 9640.886361224926,
"count": 3457468,
"self": 285.5095421230071,
"children": {
"TorchPolicy.evaluate": {
"total": 9355.376819101919,
"count": 6277032,
"self": 9355.376819101919
}
}
},
"workers": {
"total": 36.88620692357654,
"count": 3457468,
"self": 0.0,
"children": {
"worker_root": {
"total": 52438.728711235744,
"count": 3457468,
"is_parallel": true,
"self": 28772.39803970972,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.009463751979637891,
"count": 2,
"is_parallel": true,
"self": 0.008115717966575176,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0013480340130627155,
"count": 8,
"is_parallel": true,
"self": 0.0013480340130627155
}
}
},
"UnityEnvironment.step": {
"total": 0.022137401974759996,
"count": 1,
"is_parallel": true,
"self": 0.0003626939724199474,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.00036192400148138404,
"count": 1,
"is_parallel": true,
"self": 0.00036192400148138404
},
"communicator.exchange": {
"total": 0.02030703501077369,
"count": 1,
"is_parallel": true,
"self": 0.02030703501077369
},
"steps_from_proto": {
"total": 0.001105748990084976,
"count": 2,
"is_parallel": true,
"self": 0.0002536699757911265,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0008520790142938495,
"count": 8,
"is_parallel": true,
"self": 0.0008520790142938495
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 23665.917796976806,
"count": 3457467,
"is_parallel": true,
"self": 1429.4596847074572,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 932.3081354034366,
"count": 3457467,
"is_parallel": true,
"self": 932.3081354034366
},
"communicator.exchange": {
"total": 17250.80261331302,
"count": 3457467,
"is_parallel": true,
"self": 17250.80261331302
},
"steps_from_proto": {
"total": 4053.3473635528935,
"count": 6914934,
"is_parallel": true,
"self": 799.3124663241324,
"children": {
"_process_rank_one_or_two_observation": {
"total": 3254.034897228761,
"count": 27659736,
"is_parallel": true,
"self": 3254.034897228761
}
}
}
}
},
"steps_from_proto": {
"total": 0.41287454921985045,
"count": 498,
"is_parallel": true,
"self": 0.08557594433659688,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.3272986048832536,
"count": 1992,
"is_parallel": true,
"self": 0.3272986048832536
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 13285.49379960366,
"count": 3457468,
"self": 466.44135415990604,
"children": {
"process_trajectory": {
"total": 5813.522965371667,
"count": 3457468,
"self": 5799.7422991369385,
"children": {
"RLTrainer._checkpoint": {
"total": 13.780666234728415,
"count": 100,
"self": 13.780666234728415
}
}
},
"_update_policy": {
"total": 7005.529480072088,
"count": 2425,
"self": 4734.089757825423,
"children": {
"TorchPOCAOptimizer.update": {
"total": 2271.439722246665,
"count": 72750,
"self": 2271.439722246665
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.9560102373361588e-06,
"count": 1,
"self": 1.9560102373361588e-06
},
"TrainerController._save_models": {
"total": 0.13778326596366242,
"count": 1,
"self": 0.0009318289812654257,
"children": {
"RLTrainer._checkpoint": {
"total": 0.136851436982397,
"count": 1,
"self": 0.136851436982397
}
}
}
}
}
}
}