ppo-PyramidsRND / run_logs /timers.json
ryanaspen's picture
First Push
a38239b
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.30367034673690796,
"min": 0.30367034673690796,
"max": 1.503513216972351,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 9066.3818359375,
"min": 9066.3818359375,
"max": 45610.578125,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989945.0,
"min": 29952.0,
"max": 989945.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989945.0,
"min": 29952.0,
"max": 989945.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.6827568411827087,
"min": -0.12229873239994049,
"max": 0.6827568411827087,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 196.63397216796875,
"min": -29.351696014404297,
"max": 196.63397216796875,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.0046093761920928955,
"min": -0.014909759163856506,
"max": 0.17428645491600037,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 1.327500343322754,
"min": -4.294010639190674,
"max": 42.00303649902344,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06798597744174292,
"min": 0.06366242913922873,
"max": 0.07314323919473238,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9518036841844009,
"min": 0.4884900576414958,
"max": 1.0647121697273927,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.014500578650228054,
"min": 0.00017935194448627113,
"max": 0.01699640228381849,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.20300810110319276,
"min": 0.0025109272228077957,
"max": 0.25494603425727735,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.52789034787857e-06,
"min": 7.52789034787857e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00010539046487029997,
"min": 0.00010539046487029997,
"max": 0.0036299755900082004,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10250926428571429,
"min": 0.10250926428571429,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4351297,
"min": 1.3886848,
"max": 2.6099918000000004,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.0002606755021428571,
"min": 0.0002606755021428571,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.00364945703,
"min": 0.00364945703,
"max": 0.12101818082,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.010678100399672985,
"min": 0.010678100399672985,
"max": 0.3260381817817688,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.14949341118335724,
"min": 0.14949341118335724,
"max": 2.2822673320770264,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 288.2680412371134,
"min": 285.13592233009706,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 27962.0,
"min": 15984.0,
"max": 32758.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.7117319488033806,
"min": -1.0000000521540642,
"max": 1.7117319488033806,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 166.03799903392792,
"min": -31.99200166761875,
"max": 178.96539752185345,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.7117319488033806,
"min": -1.0000000521540642,
"max": 1.7117319488033806,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 166.03799903392792,
"min": -31.99200166761875,
"max": 178.96539752185345,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.031906342075672,
"min": 0.031906342075672,
"max": 5.852329550310969,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 3.094915181340184,
"min": 3.094915181340184,
"max": 93.63727280497551,
"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": "1679968311",
"python_version": "3.9.16 (main, Dec 7 2022, 01:11:51) \n[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": "1679970513"
},
"total": 2201.8317717379996,
"count": 1,
"self": 1.4136154019993228,
"children": {
"run_training.setup": {
"total": 0.10378012099999978,
"count": 1,
"self": 0.10378012099999978
},
"TrainerController.start_learning": {
"total": 2200.3143762150003,
"count": 1,
"self": 1.3656004269714686,
"children": {
"TrainerController._reset_env": {
"total": 5.906776513000068,
"count": 1,
"self": 5.906776513000068
},
"TrainerController.advance": {
"total": 2192.9501176540284,
"count": 64143,
"self": 1.4339044139428552,
"children": {
"env_step": {
"total": 1555.828945642985,
"count": 64143,
"self": 1446.4523566050243,
"children": {
"SubprocessEnvManager._take_step": {
"total": 108.55674772697125,
"count": 64143,
"self": 4.778990833939815,
"children": {
"TorchPolicy.evaluate": {
"total": 103.77775689303144,
"count": 62544,
"self": 103.77775689303144
}
}
},
"workers": {
"total": 0.8198413109894318,
"count": 64143,
"self": 0.0,
"children": {
"worker_root": {
"total": 2195.749684757922,
"count": 64143,
"is_parallel": true,
"self": 866.1649368440146,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0017486070000813925,
"count": 1,
"is_parallel": true,
"self": 0.0005575140000928513,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0011910929999885411,
"count": 8,
"is_parallel": true,
"self": 0.0011910929999885411
}
}
},
"UnityEnvironment.step": {
"total": 0.04529993699998158,
"count": 1,
"is_parallel": true,
"self": 0.0005577710001034575,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0004465530000743456,
"count": 1,
"is_parallel": true,
"self": 0.0004465530000743456
},
"communicator.exchange": {
"total": 0.042473954999877606,
"count": 1,
"is_parallel": true,
"self": 0.042473954999877606
},
"steps_from_proto": {
"total": 0.001821657999926174,
"count": 1,
"is_parallel": true,
"self": 0.00036100299939789693,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.001460655000528277,
"count": 8,
"is_parallel": true,
"self": 0.001460655000528277
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1329.5847479139072,
"count": 64142,
"is_parallel": true,
"self": 31.119567578857186,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 22.631784024065382,
"count": 64142,
"is_parallel": true,
"self": 22.631784024065382
},
"communicator.exchange": {
"total": 1184.4605005840117,
"count": 64142,
"is_parallel": true,
"self": 1184.4605005840117
},
"steps_from_proto": {
"total": 91.37289572697296,
"count": 64142,
"is_parallel": true,
"self": 19.382953459852615,
"children": {
"_process_rank_one_or_two_observation": {
"total": 71.98994226712034,
"count": 513136,
"is_parallel": true,
"self": 71.98994226712034
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 635.6872675971006,
"count": 64143,
"self": 2.519774666033527,
"children": {
"process_trajectory": {
"total": 118.73589292706583,
"count": 64143,
"self": 118.53630857306598,
"children": {
"RLTrainer._checkpoint": {
"total": 0.1995843539998532,
"count": 2,
"self": 0.1995843539998532
}
}
},
"_update_policy": {
"total": 514.4316000040012,
"count": 450,
"self": 327.4008140440301,
"children": {
"TorchPPOOptimizer.update": {
"total": 187.03078595997113,
"count": 22800,
"self": 187.03078595997113
}
}
}
}
}
}
},
"trainer_threads": {
"total": 9.170007615466602e-07,
"count": 1,
"self": 9.170007615466602e-07
},
"TrainerController._save_models": {
"total": 0.09188070399977732,
"count": 1,
"self": 0.0013525240001399652,
"children": {
"RLTrainer._checkpoint": {
"total": 0.09052817999963736,
"count": 1,
"self": 0.09052817999963736
}
}
}
}
}
}
}