ppo-Pyramids / run_logs /timers.json
Esteban00007's picture
First Push
22608a0 verified
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.4269441068172455,
"min": 0.40471845865249634,
"max": 1.4380748271942139,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 12931.283203125,
"min": 11960.240234375,
"max": 43625.4375,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989952.0,
"min": 29952.0,
"max": 989952.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989952.0,
"min": 29952.0,
"max": 989952.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.41870537400245667,
"min": -0.10295980423688889,
"max": 0.4591412842273712,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 113.88786315917969,
"min": -24.813312530517578,
"max": 125.8047103881836,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.011077631264925003,
"min": 0.00532050896435976,
"max": 0.43476882576942444,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 3.013115644454956,
"min": 1.4205758571624756,
"max": 104.77928924560547,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06854279574638765,
"min": 0.06224045026901469,
"max": 0.0743986560357314,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9595991404494271,
"min": 0.5207905922501198,
"max": 1.0656465703505091,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.014765559388338479,
"min": 0.0008844551964085345,
"max": 0.016762815620340127,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.2067178314367387,
"min": 0.011497917553310949,
"max": 0.24424620942947656,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.468533224807143e-06,
"min": 7.468533224807143e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.0001045594651473,
"min": 0.0001045594651473,
"max": 0.003633475688841499,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10248947857142857,
"min": 0.10248947857142857,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4348527,
"min": 1.3886848,
"max": 2.6111585000000006,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.0002586989092857143,
"min": 0.0002586989092857143,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.0036217847300000004,
"min": 0.0036217847300000004,
"max": 0.12113473415,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.012522452510893345,
"min": 0.012522452510893345,
"max": 0.6186760663986206,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.17531433701515198,
"min": 0.17531433701515198,
"max": 4.330732345581055,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 404.14864864864865,
"min": 403.2077922077922,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 29907.0,
"min": 15984.0,
"max": 33284.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.3467123073666063,
"min": -1.0000000521540642,
"max": 1.4668753065846183,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 98.30999843776226,
"min": -29.316001757979393,
"max": 112.94939860701561,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.3467123073666063,
"min": -1.0000000521540642,
"max": 1.4668753065846183,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 98.30999843776226,
"min": -29.316001757979393,
"max": 112.94939860701561,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.05328998692438951,
"min": 0.052140804007455396,
"max": 12.719453778117895,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 3.890169045480434,
"min": 3.890169045480434,
"max": 203.51126044988632,
"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": "1734447565",
"python_version": "3.10.12 (main, Nov 6 2024, 20:22:13) [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 Training --no-graphics",
"mlagents_version": "1.2.0.dev0",
"mlagents_envs_version": "1.2.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "2.5.1+cu121",
"numpy_version": "1.23.5",
"end_time_seconds": "1734449831"
},
"total": 2266.067674339,
"count": 1,
"self": 0.7891799949998131,
"children": {
"run_training.setup": {
"total": 0.058102568000094834,
"count": 1,
"self": 0.058102568000094834
},
"TrainerController.start_learning": {
"total": 2265.2203917760003,
"count": 1,
"self": 1.443237862037222,
"children": {
"TrainerController._reset_env": {
"total": 4.896692443999996,
"count": 1,
"self": 4.896692443999996
},
"TrainerController.advance": {
"total": 2258.749826332963,
"count": 63679,
"self": 1.5034508619141889,
"children": {
"env_step": {
"total": 1556.3506344399875,
"count": 63679,
"self": 1398.4827743369478,
"children": {
"SubprocessEnvManager._take_step": {
"total": 156.9896409399837,
"count": 63679,
"self": 4.725564624965955,
"children": {
"TorchPolicy.evaluate": {
"total": 152.26407631501775,
"count": 62553,
"self": 152.26407631501775
}
}
},
"workers": {
"total": 0.87821916305586,
"count": 63679,
"self": 0.0,
"children": {
"worker_root": {
"total": 2259.862507937036,
"count": 63679,
"is_parallel": true,
"self": 981.0707149780533,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.002131723000047714,
"count": 1,
"is_parallel": true,
"self": 0.0006994509999458387,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0014322720001018752,
"count": 8,
"is_parallel": true,
"self": 0.0014322720001018752
}
}
},
"UnityEnvironment.step": {
"total": 0.04946616199993059,
"count": 1,
"is_parallel": true,
"self": 0.0005798119999553819,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.00046331700002610887,
"count": 1,
"is_parallel": true,
"self": 0.00046331700002610887
},
"communicator.exchange": {
"total": 0.04658573099993646,
"count": 1,
"is_parallel": true,
"self": 0.04658573099993646
},
"steps_from_proto": {
"total": 0.0018373020000126417,
"count": 1,
"is_parallel": true,
"self": 0.0003771920000872342,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0014601099999254075,
"count": 8,
"is_parallel": true,
"self": 0.0014601099999254075
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1278.7917929589826,
"count": 63678,
"is_parallel": true,
"self": 33.38944664296514,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 23.433636013039063,
"count": 63678,
"is_parallel": true,
"self": 23.433636013039063
},
"communicator.exchange": {
"total": 1122.3936381330102,
"count": 63678,
"is_parallel": true,
"self": 1122.3936381330102
},
"steps_from_proto": {
"total": 99.57507216996828,
"count": 63678,
"is_parallel": true,
"self": 20.465146577818132,
"children": {
"_process_rank_one_or_two_observation": {
"total": 79.10992559215015,
"count": 509424,
"is_parallel": true,
"self": 79.10992559215015
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 700.8957410310613,
"count": 63679,
"self": 2.8488248060617707,
"children": {
"process_trajectory": {
"total": 134.3559044799971,
"count": 63679,
"self": 134.05160723799725,
"children": {
"RLTrainer._checkpoint": {
"total": 0.30429724199984776,
"count": 2,
"self": 0.30429724199984776
}
}
},
"_update_policy": {
"total": 563.6910117450025,
"count": 453,
"self": 320.387032266996,
"children": {
"TorchPPOOptimizer.update": {
"total": 243.30397947800645,
"count": 22779,
"self": 243.30397947800645
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.264999809791334e-06,
"count": 1,
"self": 1.264999809791334e-06
},
"TrainerController._save_models": {
"total": 0.13063387200008947,
"count": 1,
"self": 0.002027528999860806,
"children": {
"RLTrainer._checkpoint": {
"total": 0.12860634300022866,
"count": 1,
"self": 0.12860634300022866
}
}
}
}
}
}
}