Pyramids / run_logs /timers.json
anacg's picture
Pyramids
bdaa973 verified
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.3847190737724304,
"min": 0.3847190737724304,
"max": 1.4579434394836426,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 11480.017578125,
"min": 11480.017578125,
"max": 44228.171875,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989917.0,
"min": 29952.0,
"max": 989917.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989917.0,
"min": 29952.0,
"max": 989917.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.4826076030731201,
"min": -0.13756997883319855,
"max": 0.4826076030731201,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 129.82144165039062,
"min": -33.15436553955078,
"max": 129.82144165039062,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.17355215549468994,
"min": -0.015009300783276558,
"max": 0.3037053942680359,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 46.68553161621094,
"min": -3.6472601890563965,
"max": 71.97817993164062,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06689880081380362,
"min": 0.06429246715250961,
"max": 0.07291757785650486,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9365832113932506,
"min": 0.5024162245131213,
"max": 1.093763667847573,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.01711154147085922,
"min": 0.0001484358197053276,
"max": 0.01711154147085922,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.2395615805920291,
"min": 0.0019296656561692588,
"max": 0.2395615805920291,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.35620469082143e-06,
"min": 7.35620469082143e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00010298686567150003,
"min": 0.00010298686567150003,
"max": 0.0033729115756961996,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10245203571428571,
"min": 0.10245203571428571,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4343285,
"min": 1.3886848,
"max": 2.4844058,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.000254958367857143,
"min": 0.000254958367857143,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.0035694171500000016,
"min": 0.0035694171500000016,
"max": 0.11244794962,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.009604391641914845,
"min": 0.009522798471152782,
"max": 0.3274954855442047,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.13446147739887238,
"min": 0.1333191841840744,
"max": 2.292468309402466,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 385.8125,
"min": 385.8125,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 30865.0,
"min": 15984.0,
"max": 32879.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.4391224784776568,
"min": -1.0000000521540642,
"max": 1.4844738136117275,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 115.12979827821255,
"min": -31.994001641869545,
"max": 115.12979827821255,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.4391224784776568,
"min": -1.0000000521540642,
"max": 1.4844738136117275,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 115.12979827821255,
"min": -31.994001641869545,
"max": 115.12979827821255,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.03816621779405978,
"min": 0.03816621779405978,
"max": 6.66554023232311,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 3.053297423524782,
"min": 2.825354659995355,
"max": 106.64864371716976,
"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": "1724963017",
"python_version": "3.10.12 (main, Jul 29 2024, 16:56:48) [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": "2.4.0+cu121",
"numpy_version": "1.23.5",
"end_time_seconds": "1724966108"
},
"total": 3091.3470665470004,
"count": 1,
"self": 0.5977128700005778,
"children": {
"run_training.setup": {
"total": 0.07369486300012795,
"count": 1,
"self": 0.07369486300012795
},
"TrainerController.start_learning": {
"total": 3090.6756588139997,
"count": 1,
"self": 2.3854538019486426,
"children": {
"TrainerController._reset_env": {
"total": 2.4462970460001543,
"count": 1,
"self": 2.4462970460001543
},
"TrainerController.advance": {
"total": 3085.7644295180503,
"count": 63530,
"self": 2.6616582940418994,
"children": {
"env_step": {
"total": 2053.867759884066,
"count": 63530,
"self": 1895.7720468780778,
"children": {
"SubprocessEnvManager._take_step": {
"total": 156.6470868500121,
"count": 63530,
"self": 6.755808780073039,
"children": {
"TorchPolicy.evaluate": {
"total": 149.89127806993906,
"count": 62545,
"self": 149.89127806993906
}
}
},
"workers": {
"total": 1.4486261559759441,
"count": 63530,
"self": 0.0,
"children": {
"worker_root": {
"total": 3083.687079837029,
"count": 63530,
"is_parallel": true,
"self": 1370.1021062061027,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0034762039999804983,
"count": 1,
"is_parallel": true,
"self": 0.0012536989997897763,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.002222505000190722,
"count": 8,
"is_parallel": true,
"self": 0.002222505000190722
}
}
},
"UnityEnvironment.step": {
"total": 0.06373096900006203,
"count": 1,
"is_parallel": true,
"self": 0.0007944429999042768,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0005405209999480576,
"count": 1,
"is_parallel": true,
"self": 0.0005405209999480576
},
"communicator.exchange": {
"total": 0.060433757000055266,
"count": 1,
"is_parallel": true,
"self": 0.060433757000055266
},
"steps_from_proto": {
"total": 0.001962248000154432,
"count": 1,
"is_parallel": true,
"self": 0.0004268540001248766,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0015353940000295552,
"count": 8,
"is_parallel": true,
"self": 0.0015353940000295552
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1713.5849736309265,
"count": 63529,
"is_parallel": true,
"self": 48.332891162092665,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 30.306188719927604,
"count": 63529,
"is_parallel": true,
"self": 30.306188719927604
},
"communicator.exchange": {
"total": 1508.4459509659885,
"count": 63529,
"is_parallel": true,
"self": 1508.4459509659885
},
"steps_from_proto": {
"total": 126.49994278291774,
"count": 63529,
"is_parallel": true,
"self": 26.867544633967782,
"children": {
"_process_rank_one_or_two_observation": {
"total": 99.63239814894996,
"count": 508232,
"is_parallel": true,
"self": 99.63239814894996
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 1029.2350113399427,
"count": 63530,
"self": 4.314360312956751,
"children": {
"process_trajectory": {
"total": 162.92691289798518,
"count": 63530,
"self": 162.7518638009849,
"children": {
"RLTrainer._checkpoint": {
"total": 0.17504909700028293,
"count": 2,
"self": 0.17504909700028293
}
}
},
"_update_policy": {
"total": 861.9937381290008,
"count": 449,
"self": 355.52732765303676,
"children": {
"TorchPPOOptimizer.update": {
"total": 506.46641047596404,
"count": 22779,
"self": 506.46641047596404
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.0630001270328648e-06,
"count": 1,
"self": 1.0630001270328648e-06
},
"TrainerController._save_models": {
"total": 0.0794773850002457,
"count": 1,
"self": 0.0020265339999241405,
"children": {
"RLTrainer._checkpoint": {
"total": 0.07745085100032156,
"count": 1,
"self": 0.07745085100032156
}
}
}
}
}
}
}