{ "name": "root", "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1688894033", "python_version": "3.10.12 (main, Jun 7 2023, 12:45:35) [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 --force", "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": "1688894058" }, "total": 25.703499129999955, "count": 1, "self": 0.4779687879999983, "children": { "run_training.setup": { "total": 0.061625136999964525, "count": 1, "self": 0.061625136999964525 }, "TrainerController.start_learning": { "total": 25.163905204999992, "count": 1, "self": 0.012912940999285638, "children": { "TrainerController._reset_env": { "total": 5.333233249000045, "count": 1, "self": 5.333233249000045 }, "TrainerController.advance": { "total": 19.707015659000717, "count": 640, "self": 0.01709169200364613, "children": { "env_step": { "total": 13.340061667998839, "count": 640, "self": 12.09963790599761, "children": { "SubprocessEnvManager._take_step": { "total": 1.231854065000448, "count": 640, "self": 0.05193586200039135, "children": { "TorchPolicy.evaluate": { "total": 1.1799182030000566, "count": 640, "self": 1.1799182030000566 } } }, "workers": { "total": 0.008569697000780252, "count": 640, "self": 0.0, "children": { "worker_root": { "total": 24.9056508240011, "count": 640, "is_parallel": true, "self": 14.11688292199949, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.005767585000057807, "count": 1, "is_parallel": true, "self": 0.003764144000228953, "children": { "_process_rank_one_or_two_observation": { "total": 0.002003440999828854, "count": 8, "is_parallel": true, "self": 0.002003440999828854 } } }, "UnityEnvironment.step": { "total": 0.049988366999969, "count": 1, "is_parallel": true, "self": 0.000622037999960412, "children": { "UnityEnvironment._generate_step_input": { "total": 0.0004936799999768482, "count": 1, "is_parallel": true, "self": 0.0004936799999768482 }, "communicator.exchange": { "total": 0.0469585000000734, "count": 1, "is_parallel": true, "self": 0.0469585000000734 }, "steps_from_proto": { "total": 0.0019141489999583428, "count": 1, "is_parallel": true, "self": 0.00035003100003905274, "children": { "_process_rank_one_or_two_observation": { "total": 0.00156411799991929, "count": 8, "is_parallel": true, "self": 0.00156411799991929 } } } } } } }, "UnityEnvironment.step": { "total": 10.78876790200161, "count": 639, "is_parallel": true, "self": 0.32736488899990945, "children": { "UnityEnvironment._generate_step_input": { "total": 0.22456155500128716, "count": 639, "is_parallel": true, "self": 0.22456155500128716 }, "communicator.exchange": { "total": 9.18247874899896, "count": 639, "is_parallel": true, "self": 9.18247874899896 }, "steps_from_proto": { "total": 1.0543627090014525, "count": 639, "is_parallel": true, "self": 0.1938234630055149, "children": { "_process_rank_one_or_two_observation": { "total": 0.8605392459959376, "count": 5112, "is_parallel": true, "self": 0.8605392459959376 } } } } } } } } } } }, "trainer_advance": { "total": 6.349862298998232, "count": 640, "self": 0.01630426799556517, "children": { "process_trajectory": { "total": 1.0643618170026912, "count": 640, "self": 1.0643618170026912 }, "_update_policy": { "total": 5.269196213999976, "count": 2, "self": 3.435131229000035, "children": { "TorchPPOOptimizer.update": { "total": 1.8340649849999409, "count": 192, "self": 1.8340649849999409 } } } } } } }, "trainer_threads": { "total": 8.480000133204157e-07, "count": 1, "self": 8.480000133204157e-07 }, "TrainerController._save_models": { "total": 0.11074250799993024, "count": 1, "self": 0.0012753019998399395, "children": { "RLTrainer._checkpoint": { "total": 0.1094672060000903, "count": 1, "self": 0.1094672060000903 } } } } } } }