ppo-Pyramids / run_logs /timers.json
Protao's picture
First Push
433c095
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.364847332239151,
"min": 0.364847332239151,
"max": 1.4937645196914673,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 10992.1201171875,
"min": 10992.1201171875,
"max": 45314.83984375,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989935.0,
"min": 29952.0,
"max": 989935.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989935.0,
"min": 29952.0,
"max": 989935.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.4493965804576874,
"min": -0.11554408073425293,
"max": 0.45616114139556885,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 120.88768005371094,
"min": -27.730579376220703,
"max": 121.3388671875,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.015761176124215126,
"min": 0.003372310195118189,
"max": 0.22920021414756775,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 4.2397565841674805,
"min": 0.8768006563186646,
"max": 55.008052825927734,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06590740933394092,
"min": 0.06590370954952204,
"max": 0.07401375408378608,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9227037306751729,
"min": 0.506988610674215,
"max": 1.0972383213098225,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.012725444129172186,
"min": 0.0004586589796410946,
"max": 0.014471292679012374,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.1781562178084106,
"min": 0.006421225714975325,
"max": 0.20259809750617325,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.724090282478568e-06,
"min": 7.724090282478568e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00010813726395469996,
"min": 0.00010813726395469996,
"max": 0.0035077703307433,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10257466428571431,
"min": 0.10257466428571431,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4360453000000004,
"min": 1.3886848,
"max": 2.5692566999999995,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.00026720896214285715,
"min": 0.00026720896214285715,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.00374092547,
"min": 0.00374092547,
"max": 0.11694874433,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.01137875858694315,
"min": 0.011367379687726498,
"max": 0.28142645955085754,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.15930262207984924,
"min": 0.15914331376552582,
"max": 1.9699852466583252,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 404.26666666666665,
"min": 404.26666666666665,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 30320.0,
"min": 15984.0,
"max": 32939.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.4356719760100047,
"min": -1.0000000521540642,
"max": 1.4825405165351726,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 107.67539820075035,
"min": -29.99400170892477,
"max": 109.70799822360277,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.4356719760100047,
"min": -1.0000000521540642,
"max": 1.4825405165351726,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 107.67539820075035,
"min": -29.99400170892477,
"max": 109.70799822360277,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.047771389776219926,
"min": 0.04771804336092568,
"max": 5.385920062661171,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 3.5828542332164943,
"min": 3.3402630352647975,
"max": 86.17472100257874,
"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": "1701853699",
"python_version": "3.10.12 (main, Nov 20 2023, 15:14:05) [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": "1.1.0.dev0",
"mlagents_envs_version": "1.1.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "2.1.1+cu121",
"numpy_version": "1.23.5",
"end_time_seconds": "1701855891"
},
"total": 2191.969353092,
"count": 1,
"self": 1.257284916000117,
"children": {
"run_training.setup": {
"total": 0.08298645600001464,
"count": 1,
"self": 0.08298645600001464
},
"TrainerController.start_learning": {
"total": 2190.6290817199997,
"count": 1,
"self": 1.2368424399687683,
"children": {
"TrainerController._reset_env": {
"total": 4.181706311000028,
"count": 1,
"self": 4.181706311000028
},
"TrainerController.advance": {
"total": 2185.094186473031,
"count": 63585,
"self": 1.398313832050917,
"children": {
"env_step": {
"total": 1543.7241479919717,
"count": 63585,
"self": 1415.2882457219346,
"children": {
"SubprocessEnvManager._take_step": {
"total": 127.63906251697853,
"count": 63585,
"self": 4.559394220990725,
"children": {
"TorchPolicy.evaluate": {
"total": 123.0796682959878,
"count": 62560,
"self": 123.0796682959878
}
}
},
"workers": {
"total": 0.7968397530586344,
"count": 63585,
"self": 0.0,
"children": {
"worker_root": {
"total": 2186.160820860965,
"count": 63585,
"is_parallel": true,
"self": 885.3358644949476,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0062029270000039105,
"count": 1,
"is_parallel": true,
"self": 0.004292383000006339,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0019105439999975715,
"count": 8,
"is_parallel": true,
"self": 0.0019105439999975715
}
}
},
"UnityEnvironment.step": {
"total": 0.04708306200001289,
"count": 1,
"is_parallel": true,
"self": 0.0005940000000350665,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0004646649999813235,
"count": 1,
"is_parallel": true,
"self": 0.0004646649999813235
},
"communicator.exchange": {
"total": 0.04431207400000403,
"count": 1,
"is_parallel": true,
"self": 0.04431207400000403
},
"steps_from_proto": {
"total": 0.001712322999992466,
"count": 1,
"is_parallel": true,
"self": 0.00038718299998663497,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.001325140000005831,
"count": 8,
"is_parallel": true,
"self": 0.001325140000005831
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1300.8249563660174,
"count": 63584,
"is_parallel": true,
"self": 34.19127417602385,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 23.640750736016116,
"count": 63584,
"is_parallel": true,
"self": 23.640750736016116
},
"communicator.exchange": {
"total": 1147.0067821330108,
"count": 63584,
"is_parallel": true,
"self": 1147.0067821330108
},
"steps_from_proto": {
"total": 95.98614932096655,
"count": 63584,
"is_parallel": true,
"self": 18.69318082501286,
"children": {
"_process_rank_one_or_two_observation": {
"total": 77.29296849595369,
"count": 508672,
"is_parallel": true,
"self": 77.29296849595369
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 639.9717246490084,
"count": 63585,
"self": 2.464773510980649,
"children": {
"process_trajectory": {
"total": 126.13340320002857,
"count": 63585,
"self": 125.88988543502859,
"children": {
"RLTrainer._checkpoint": {
"total": 0.24351776499997868,
"count": 2,
"self": 0.24351776499997868
}
}
},
"_update_policy": {
"total": 511.3735479379992,
"count": 451,
"self": 305.81021809699007,
"children": {
"TorchPPOOptimizer.update": {
"total": 205.56332984100914,
"count": 22767,
"self": 205.56332984100914
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.1409997568989638e-06,
"count": 1,
"self": 1.1409997568989638e-06
},
"TrainerController._save_models": {
"total": 0.11634535499979393,
"count": 1,
"self": 0.0017506539998066728,
"children": {
"RLTrainer._checkpoint": {
"total": 0.11459470099998725,
"count": 1,
"self": 0.11459470099998725
}
}
}
}
}
}
}