agv-demo / run_logs /timers.json
cm107's picture
test pushing the model
81fe551
{
"name": "root",
"gauges": {
"AGVAgent.Policy.Entropy.mean": {
"value": 1.1190447807312012,
"min": 1.019601583480835,
"max": 1.7876580953598022,
"count": 333
},
"AGVAgent.Policy.Entropy.sum": {
"value": 67151.640625,
"min": 61146.52734375,
"max": 108108.625,
"count": 333
},
"AGVAgent.Step.mean": {
"value": 19979997.0,
"min": 59963.0,
"max": 19979997.0,
"count": 333
},
"AGVAgent.Step.sum": {
"value": 19979997.0,
"min": 59963.0,
"max": 19979997.0,
"count": 333
},
"AGVAgent.Policy.ExtrinsicBaselineEstimate.mean": {
"value": 0.08212196826934814,
"min": -0.0027201876509934664,
"max": 0.6640089154243469,
"count": 333
},
"AGVAgent.Policy.ExtrinsicBaselineEstimate.sum": {
"value": 79.90467834472656,
"min": -2.600499391555786,
"max": 636.1205444335938,
"count": 333
},
"AGVAgent.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.08238506317138672,
"min": -0.0029702321626245975,
"max": 0.4716530442237854,
"count": 333
},
"AGVAgent.Policy.ExtrinsicValueEstimate.sum": {
"value": 80.1606674194336,
"min": -2.8395419120788574,
"max": 451.8436279296875,
"count": 333
},
"AGVAgent.Losses.PolicyLoss.mean": {
"value": 0.11462981558999874,
"min": 0.09277696505612565,
"max": 0.1695499488965354,
"count": 333
},
"AGVAgent.Losses.PolicyLoss.sum": {
"value": 0.6877788935399924,
"min": 0.4837666191358232,
"max": 0.847749744482677,
"count": 333
},
"AGVAgent.Losses.ValueLoss.mean": {
"value": 0.0006867209468004552,
"min": 2.5535572691903027e-05,
"max": 0.026501540507077044,
"count": 333
},
"AGVAgent.Losses.ValueLoss.sum": {
"value": 0.004120325680802731,
"min": 0.00012767786345951513,
"max": 0.1325077025353852,
"count": 333
},
"AGVAgent.Losses.BaselineLoss.mean": {
"value": 0.0007339700696320506,
"min": 2.56091814659006e-05,
"max": 0.3247055834376563,
"count": 333
},
"AGVAgent.Losses.BaselineLoss.sum": {
"value": 0.0044038204177923035,
"min": 0.000128045907329503,
"max": 1.6235279171882817,
"count": 333
},
"AGVAgent.Policy.LearningRate.mean": {
"value": 0.0003,
"min": 0.0003,
"max": 0.0003,
"count": 333
},
"AGVAgent.Policy.LearningRate.sum": {
"value": 0.0017999999999999997,
"min": 0.0014999999999999998,
"max": 0.0017999999999999997,
"count": 333
},
"AGVAgent.Policy.Epsilon.mean": {
"value": 0.2000000000000001,
"min": 0.2,
"max": 0.2000000000000001,
"count": 333
},
"AGVAgent.Policy.Epsilon.sum": {
"value": 1.2000000000000006,
"min": 1.0,
"max": 1.2000000000000006,
"count": 333
},
"AGVAgent.Policy.Beta.mean": {
"value": 0.010000000000000002,
"min": 0.01,
"max": 0.010000000000000002,
"count": 333
},
"AGVAgent.Policy.Beta.sum": {
"value": 0.06000000000000001,
"min": 0.05,
"max": 0.06000000000000001,
"count": 333
},
"AGVAgent.Environment.EpisodeLength.mean": {
"value": 872.7121212121212,
"min": 726.3181818181819,
"max": 1249.0483870967741,
"count": 333
},
"AGVAgent.Environment.EpisodeLength.sum": {
"value": 57599.0,
"min": 44964.0,
"max": 77441.0,
"count": 333
},
"AGVAgent.Environment.CumulativeReward.mean": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 333
},
"AGVAgent.Environment.CumulativeReward.sum": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 333
},
"AGVAgent.Policy.ExtrinsicReward.mean": {
"value": 0.9985621480101888,
"min": 0.022845805578288577,
"max": 1.053171891154665,
"count": 333
},
"AGVAgent.Policy.ExtrinsicReward.sum": {
"value": 65.90510176867247,
"min": 0.9595238342881203,
"max": 90.18739443272352,
"count": 333
},
"AGVAgent.Environment.GroupCumulativeReward.mean": {
"value": 0.9985621480101888,
"min": 0.022845805578288577,
"max": 1.053171891154665,
"count": 333
},
"AGVAgent.Environment.GroupCumulativeReward.sum": {
"value": 65.90510176867247,
"min": 0.9595238342881203,
"max": 90.18739443272352,
"count": 333
},
"AGVAgent.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 333
},
"AGVAgent.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 333
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1664931797",
"python_version": "3.7.3 (default, Apr 3 2020, 09:27:29) \n[GCC 7.5.0]",
"command_line_arguments": "/home/clayton/workspace/git/ml-agents/venv/bin/mlagents-learn config/lstm.yaml --run-id=RefactoredEnv-LSTM-00",
"mlagents_version": "0.28.0",
"mlagents_envs_version": "0.28.0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "1.8.1+cu102",
"numpy_version": "1.21.4",
"end_time_seconds": "1665172495"
},
"total": 240698.474378774,
"count": 1,
"self": 0.00966217799577862,
"children": {
"run_training.setup": {
"total": 0.019829500000923872,
"count": 1,
"self": 0.019829500000923872
},
"TrainerController.start_learning": {
"total": 240698.444887096,
"count": 1,
"self": 20.90999044041382,
"children": {
"TrainerController._reset_env": {
"total": 15.042137256008573,
"count": 1,
"self": 15.042137256008573
},
"TrainerController.advance": {
"total": 240662.2198648916,
"count": 1031114,
"self": 19.60197504563257,
"children": {
"env_step": {
"total": 227331.44503007727,
"count": 1031114,
"self": 224282.46708125173,
"children": {
"SubprocessEnvManager._take_step": {
"total": 3031.197078352241,
"count": 1031114,
"self": 73.174425164907,
"children": {
"TorchPolicy.evaluate": {
"total": 2958.022653187334,
"count": 1028877,
"self": 778.5708862731699,
"children": {
"TorchPolicy.sample_actions": {
"total": 2179.451766914164,
"count": 1028877,
"self": 2179.451766914164
}
}
}
}
},
"workers": {
"total": 17.780870473303366,
"count": 1031114,
"self": 0.0,
"children": {
"worker_root": {
"total": 240649.31950135628,
"count": 1031114,
"is_parallel": true,
"self": 18436.158297587244,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.03600404300959781,
"count": 1,
"is_parallel": true,
"self": 0.00040666101267561316,
"children": {
"_process_maybe_compressed_observation": {
"total": 0.03532471999642439,
"count": 8,
"is_parallel": true,
"self": 0.001139378859079443,
"children": {
"_observation_to_np_array": {
"total": 0.03418534113734495,
"count": 108,
"is_parallel": true,
"self": 0.001395588114974089,
"children": {
"process_pixels": {
"total": 0.03278975302237086,
"count": 108,
"is_parallel": true,
"self": 0.0071810100635048,
"children": {
"image_decompress": {
"total": 0.02560874295886606,
"count": 135,
"is_parallel": true,
"self": 0.02560874295886606
}
}
}
}
}
}
},
"_process_rank_one_or_two_observation": {
"total": 0.0002726620004978031,
"count": 2,
"is_parallel": true,
"self": 0.0002726620004978031
}
}
},
"UnityEnvironment.step": {
"total": 0.400606348994188,
"count": 1,
"is_parallel": true,
"self": 0.00038902398955542594,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0005712529964512214,
"count": 1,
"is_parallel": true,
"self": 0.0005712529964512214
},
"communicator.exchange": {
"total": 0.3733515000058105,
"count": 1,
"is_parallel": true,
"self": 0.3733515000058105
},
"steps_from_proto": {
"total": 0.026294572002370842,
"count": 1,
"is_parallel": true,
"self": 0.0002897820231737569,
"children": {
"_process_maybe_compressed_observation": {
"total": 0.025684416978037916,
"count": 8,
"is_parallel": true,
"self": 0.001577579023432918,
"children": {
"_observation_to_np_array": {
"total": 0.024106837954604998,
"count": 92,
"is_parallel": true,
"self": 0.0021099359582876787,
"children": {
"process_pixels": {
"total": 0.02199690199631732,
"count": 92,
"is_parallel": true,
"self": 0.009095786022953689,
"children": {
"image_decompress": {
"total": 0.01290111597336363,
"count": 115,
"is_parallel": true,
"self": 0.01290111597336363
}
}
}
}
}
}
},
"_process_rank_one_or_two_observation": {
"total": 0.0003203730011591688,
"count": 2,
"is_parallel": true,
"self": 0.0003203730011591688
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 222213.16120376904,
"count": 1031113,
"is_parallel": true,
"self": 234.929436132923,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 235.6811277467932,
"count": 1031113,
"is_parallel": true,
"self": 235.6811277467932
},
"communicator.exchange": {
"total": 207006.13890102837,
"count": 1031113,
"is_parallel": true,
"self": 207006.13890102837
},
"steps_from_proto": {
"total": 14736.411738860945,
"count": 1031113,
"is_parallel": true,
"self": 240.37436694913777,
"children": {
"_process_maybe_compressed_observation": {
"total": 14367.020087703044,
"count": 8248904,
"is_parallel": true,
"self": 810.4600575300865,
"children": {
"_observation_to_np_array": {
"total": 13556.560030172957,
"count": 80083124,
"is_parallel": true,
"self": 1058.932476545975,
"children": {
"process_pixels": {
"total": 12497.627553626982,
"count": 80083124,
"is_parallel": true,
"self": 5180.628433322738,
"children": {
"image_decompress": {
"total": 7316.999120304245,
"count": 100103905,
"is_parallel": true,
"self": 7316.999120304245
}
}
}
}
}
}
},
"_process_rank_one_or_two_observation": {
"total": 129.01728420876316,
"count": 2062226,
"is_parallel": true,
"self": 129.01728420876316
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 13311.172859768703,
"count": 1031114,
"self": 36.872767708671745,
"children": {
"process_trajectory": {
"total": 7771.518058447982,
"count": 1031114,
"self": 7760.722613692051,
"children": {
"RLTrainer._checkpoint": {
"total": 10.795444755931385,
"count": 40,
"self": 10.795444755931385
}
}
},
"_update_policy": {
"total": 5502.782033612049,
"count": 1986,
"self": 304.772540141872,
"children": {
"TorchPOCAOptimizer.update": {
"total": 5198.009493470177,
"count": 59667,
"self": 5198.009493470177
}
}
}
}
}
}
},
"trainer_threads": {
"total": 8.050119504332542e-07,
"count": 1,
"self": 8.050119504332542e-07
},
"TrainerController._save_models": {
"total": 0.27289370296057314,
"count": 1,
"self": 0.0016521259676665068,
"children": {
"RLTrainer._checkpoint": {
"total": 0.27124157699290663,
"count": 1,
"self": 0.27124157699290663
}
}
}
}
}
}
}