Pyramids / run_logs /timers.json
spenning's picture
First Push
c25f712 verified
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.5360606908798218,
"min": 0.5360606908798218,
"max": 1.3728686571121216,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 15927.435546875,
"min": 15927.435546875,
"max": 41647.34375,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989920.0,
"min": 29951.0,
"max": 989920.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989920.0,
"min": 29951.0,
"max": 989920.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.6375973224639893,
"min": -0.10701658576726913,
"max": 0.6375973224639893,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 181.71524047851562,
"min": -25.790996551513672,
"max": 181.71524047851562,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.11850735545158386,
"min": -0.019594412297010422,
"max": 0.3461554944515228,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 33.77459716796875,
"min": -5.192519187927246,
"max": 83.07731628417969,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06710760621107603,
"min": 0.06511155605327629,
"max": 0.07524435755320798,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9395064869550644,
"min": 0.6019548604256638,
"max": 1.0148812293839142,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.015408437557641057,
"min": 9.127378901801838e-05,
"max": 0.01610930739097814,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.2157181258069748,
"min": 0.0012778330462522574,
"max": 0.22553030347369393,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.255447581550005e-06,
"min": 7.255447581550005e-06,
"max": 0.0002952058890980375,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00010157626614170007,
"min": 0.00010157626614170007,
"max": 0.0035077472307509998,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10241845000000001,
"min": 0.10241845000000001,
"max": 0.19840196249999997,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4338583,
"min": 1.4338583,
"max": 2.569249,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.0002516031550000002,
"min": 0.0002516031550000002,
"max": 0.00984035605375,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.0035224441700000024,
"min": 0.0035224441700000024,
"max": 0.11694797509999999,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.011999146081507206,
"min": 0.011913491412997246,
"max": 0.4316900968551636,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.16798804700374603,
"min": 0.16678887605667114,
"max": 3.4535207748413086,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 310.90625,
"min": 310.90625,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 29847.0,
"min": 15983.0,
"max": 32883.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.6265708202651392,
"min": -1.0000000521540642,
"max": 1.6818171880578483,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 156.15079874545336,
"min": -32.000001668930054,
"max": 166.48999809473753,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.6265708202651392,
"min": -1.0000000521540642,
"max": 1.6818171880578483,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 156.15079874545336,
"min": -32.000001668930054,
"max": 166.48999809473753,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.03878641929183383,
"min": 0.03878641929183383,
"max": 7.789232974871993,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 3.723496252016048,
"min": 3.6395793275296455,
"max": 124.62772759795189,
"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": "1735928393",
"python_version": "3.10.12 (main, Nov 6 2024, 20:22:13) [GCC 11.4.0]",
"command_line_arguments": "/home/ubuntu/unit_5/.env/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+cu124",
"numpy_version": "1.23.5",
"end_time_seconds": "1735930160"
},
"total": 1766.3443184120001,
"count": 1,
"self": 0.9882328430003327,
"children": {
"run_training.setup": {
"total": 0.014750370999990992,
"count": 1,
"self": 0.014750370999990992
},
"TrainerController.start_learning": {
"total": 1765.3413351979998,
"count": 1,
"self": 1.2962511280206854,
"children": {
"TrainerController._reset_env": {
"total": 1.3722177240001656,
"count": 1,
"self": 1.3722177240001656
},
"TrainerController.advance": {
"total": 1762.6242180079794,
"count": 63698,
"self": 1.2372538119420824,
"children": {
"env_step": {
"total": 1154.2167012490122,
"count": 63698,
"self": 1063.93974330505,
"children": {
"SubprocessEnvManager._take_step": {
"total": 89.50726983799268,
"count": 63698,
"self": 3.672276922025958,
"children": {
"TorchPolicy.evaluate": {
"total": 85.83499291596672,
"count": 62566,
"self": 85.83499291596672
}
}
},
"workers": {
"total": 0.7696881059696352,
"count": 63698,
"self": 0.0,
"children": {
"worker_root": {
"total": 1762.9259412970118,
"count": 63698,
"is_parallel": true,
"self": 780.285789576008,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0013524559999495978,
"count": 1,
"is_parallel": true,
"self": 0.0005591369995272544,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0007933190004223434,
"count": 8,
"is_parallel": true,
"self": 0.0007933190004223434
}
}
},
"UnityEnvironment.step": {
"total": 0.04354331800004729,
"count": 1,
"is_parallel": true,
"self": 0.0002454799996485235,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.00023227700012284913,
"count": 1,
"is_parallel": true,
"self": 0.00023227700012284913
},
"communicator.exchange": {
"total": 0.04217320899988408,
"count": 1,
"is_parallel": true,
"self": 0.04217320899988408
},
"steps_from_proto": {
"total": 0.0008923520003918384,
"count": 1,
"is_parallel": true,
"self": 0.0002761410005405196,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0006162109998513188,
"count": 8,
"is_parallel": true,
"self": 0.0006162109998513188
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 982.6401517210038,
"count": 63697,
"is_parallel": true,
"self": 15.334219500955442,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 12.523818959964046,
"count": 63697,
"is_parallel": true,
"self": 12.523818959964046
},
"communicator.exchange": {
"total": 907.0659889330918,
"count": 63697,
"is_parallel": true,
"self": 907.0659889330918
},
"steps_from_proto": {
"total": 47.716124326992485,
"count": 63697,
"is_parallel": true,
"self": 11.441222403930624,
"children": {
"_process_rank_one_or_two_observation": {
"total": 36.27490192306186,
"count": 509576,
"is_parallel": true,
"self": 36.27490192306186
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 607.1702629470251,
"count": 63698,
"self": 2.199733846025083,
"children": {
"process_trajectory": {
"total": 90.25426579800387,
"count": 63698,
"self": 90.14351978800369,
"children": {
"RLTrainer._checkpoint": {
"total": 0.11074601000018447,
"count": 2,
"self": 0.11074601000018447
}
}
},
"_update_policy": {
"total": 514.7162633029961,
"count": 450,
"self": 206.63335311195306,
"children": {
"TorchPPOOptimizer.update": {
"total": 308.0829101910431,
"count": 22758,
"self": 308.0829101910431
}
}
}
}
}
}
},
"trainer_threads": {
"total": 9.4600000011269e-07,
"count": 1,
"self": 9.4600000011269e-07
},
"TrainerController._save_models": {
"total": 0.048647391999566025,
"count": 1,
"self": 0.0010855629993784532,
"children": {
"RLTrainer._checkpoint": {
"total": 0.04756182900018757,
"count": 1,
"self": 0.04756182900018757
}
}
}
}
}
}
}