pyramid_colab / run_logs /timers.json
HaiderAUT's picture
First
ff6977d
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.3967891335487366,
"min": 0.3967891335487366,
"max": 1.4358166456222534,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 11878.279296875,
"min": 11878.279296875,
"max": 43556.93359375,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989956.0,
"min": 29952.0,
"max": 989956.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989956.0,
"min": 29952.0,
"max": 989956.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.6713936924934387,
"min": -0.10962054133415222,
"max": 0.6713936924934387,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 192.6899871826172,
"min": -26.308929443359375,
"max": 192.6899871826172,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.01450098492205143,
"min": -0.0021236592438071966,
"max": 0.5306307673454285,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 4.161782741546631,
"min": -0.5882536172866821,
"max": 125.75949096679688,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.07087349866855046,
"min": 0.06583802531568231,
"max": 0.07485722266819958,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9922289813597065,
"min": 0.4769274115140266,
"max": 1.0564026535333444,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.01551307074121377,
"min": 0.0010077559598247097,
"max": 0.016833744834487636,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.21718299037699276,
"min": 0.013284038919730325,
"max": 0.25250617251731455,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.67137601433572e-06,
"min": 7.67137601433572e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00010739926420070006,
"min": 0.00010739926420070006,
"max": 0.0036324157891947993,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10255709285714287,
"min": 0.10255709285714287,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4357993000000002,
"min": 1.3691136000000002,
"max": 2.6108052,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.00026545357642857156,
"min": 0.00026545357642857156,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.003716350070000002,
"min": 0.003716350070000002,
"max": 0.12109943948000002,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.009402148425579071,
"min": 0.009402148425579071,
"max": 0.5152145028114319,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.131630077958107,
"min": 0.131630077958107,
"max": 3.606501579284668,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 283.5,
"min": 283.5,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 30051.0,
"min": 15984.0,
"max": 33663.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.698175688213277,
"min": -1.0000000521540642,
"max": 1.698175688213277,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 181.70479863882065,
"min": -32.000001668930054,
"max": 181.70479863882065,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.698175688213277,
"min": -1.0000000521540642,
"max": 1.698175688213277,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 181.70479863882065,
"min": -32.000001668930054,
"max": 181.70479863882065,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.02777701260819302,
"min": 0.02777701260819302,
"max": 10.795980498194695,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 2.9721403490766534,
"min": 2.9547697921516374,
"max": 172.7356879711151,
"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": "1681873837",
"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": "1681876104"
},
"total": 2267.0317817550003,
"count": 1,
"self": 0.5003556690007827,
"children": {
"run_training.setup": {
"total": 0.10431657299977815,
"count": 1,
"self": 0.10431657299977815
},
"TrainerController.start_learning": {
"total": 2266.427109513,
"count": 1,
"self": 1.2840382789868272,
"children": {
"TrainerController._reset_env": {
"total": 4.244039212000189,
"count": 1,
"self": 4.244039212000189
},
"TrainerController.advance": {
"total": 2260.8059180670125,
"count": 64033,
"self": 1.2858251449401905,
"children": {
"env_step": {
"total": 1659.4850468309764,
"count": 64033,
"self": 1559.2506047948596,
"children": {
"SubprocessEnvManager._take_step": {
"total": 99.47350274606697,
"count": 64033,
"self": 4.495202162888745,
"children": {
"TorchPolicy.evaluate": {
"total": 94.97830058317822,
"count": 62568,
"self": 94.97830058317822
}
}
},
"workers": {
"total": 0.7609392900499188,
"count": 64033,
"self": 0.0,
"children": {
"worker_root": {
"total": 2261.2932821408795,
"count": 64033,
"is_parallel": true,
"self": 808.5087569738971,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0017822350000642473,
"count": 1,
"is_parallel": true,
"self": 0.0005452790005620045,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0012369559995022428,
"count": 8,
"is_parallel": true,
"self": 0.0012369559995022428
}
}
},
"UnityEnvironment.step": {
"total": 0.11973106999994343,
"count": 1,
"is_parallel": true,
"self": 0.007402935999380134,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0004862949999733246,
"count": 1,
"is_parallel": true,
"self": 0.0004862949999733246
},
"communicator.exchange": {
"total": 0.10995105900019553,
"count": 1,
"is_parallel": true,
"self": 0.10995105900019553
},
"steps_from_proto": {
"total": 0.001890780000394443,
"count": 1,
"is_parallel": true,
"self": 0.00035859400077242753,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0015321859996220155,
"count": 8,
"is_parallel": true,
"self": 0.0015321859996220155
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1452.7845251669823,
"count": 64032,
"is_parallel": true,
"self": 31.485309770095228,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 22.469902618941887,
"count": 64032,
"is_parallel": true,
"self": 22.469902618941887
},
"communicator.exchange": {
"total": 1307.1010758040175,
"count": 64032,
"is_parallel": true,
"self": 1307.1010758040175
},
"steps_from_proto": {
"total": 91.72823697392778,
"count": 64032,
"is_parallel": true,
"self": 19.111396844788032,
"children": {
"_process_rank_one_or_two_observation": {
"total": 72.61684012913975,
"count": 512256,
"is_parallel": true,
"self": 72.61684012913975
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 600.0350460910959,
"count": 64033,
"self": 2.300495330065587,
"children": {
"process_trajectory": {
"total": 102.73022515203274,
"count": 64033,
"self": 102.52198539103301,
"children": {
"RLTrainer._checkpoint": {
"total": 0.20823976099973152,
"count": 2,
"self": 0.20823976099973152
}
}
},
"_update_policy": {
"total": 495.00432560899753,
"count": 447,
"self": 315.0499840500256,
"children": {
"TorchPPOOptimizer.update": {
"total": 179.95434155897192,
"count": 22851,
"self": 179.95434155897192
}
}
}
}
}
}
},
"trainer_threads": {
"total": 8.639999578008428e-07,
"count": 1,
"self": 8.639999578008428e-07
},
"TrainerController._save_models": {
"total": 0.09311309100030485,
"count": 1,
"self": 0.001703812000414473,
"children": {
"RLTrainer._checkpoint": {
"total": 0.09140927899989038,
"count": 1,
"self": 0.09140927899989038
}
}
}
}
}
}
}