File size: 18,282 Bytes
e751897
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
{
    "name": "root",
    "gauges": {
        "Pyramids.Policy.Entropy.mean": {
            "value": 0.8922141790390015,
            "min": 0.8922141790390015,
            "max": 1.4813717603683472,
            "count": 3
        },
        "Pyramids.Policy.Entropy.sum": {
            "value": 27066.208984375,
            "min": 27066.208984375,
            "max": 44938.89453125,
            "count": 3
        },
        "Pyramids.Step.mean": {
            "value": 89961.0,
            "min": 29952.0,
            "max": 89961.0,
            "count": 3
        },
        "Pyramids.Step.sum": {
            "value": 89961.0,
            "min": 29952.0,
            "max": 89961.0,
            "count": 3
        },
        "Pyramids.Policy.ExtrinsicValueEstimate.mean": {
            "value": -0.09253223985433578,
            "min": -0.13578973710536957,
            "max": -0.09253223985433578,
            "count": 3
        },
        "Pyramids.Policy.ExtrinsicValueEstimate.sum": {
            "value": -22.300270080566406,
            "min": -32.182167053222656,
            "max": -22.300270080566406,
            "count": 3
        },
        "Pyramids.Policy.RndValueEstimate.mean": {
            "value": 0.199475958943367,
            "min": 0.199475958943367,
            "max": 0.33898448944091797,
            "count": 3
        },
        "Pyramids.Policy.RndValueEstimate.sum": {
            "value": 48.073707580566406,
            "min": 48.073707580566406,
            "max": 80.33932495117188,
            "count": 3
        },
        "Pyramids.Losses.PolicyLoss.mean": {
            "value": 0.07189497155276138,
            "min": 0.06806003932545993,
            "max": 0.07194849411406049,
            "count": 3
        },
        "Pyramids.Losses.PolicyLoss.sum": {
            "value": 0.7908446870803751,
            "min": 0.5036394587984234,
            "max": 0.7908446870803751,
            "count": 3
        },
        "Pyramids.Losses.ValueLoss.mean": {
            "value": 0.0012177477248836357,
            "min": 0.0012177477248836357,
            "max": 0.006861717372968955,
            "count": 3
        },
        "Pyramids.Losses.ValueLoss.sum": {
            "value": 0.013395224973719993,
            "min": 0.013395224973719993,
            "max": 0.04803202161078268,
            "count": 3
        },
        "Pyramids.Policy.LearningRate.mean": {
            "value": 7.062171282309092e-05,
            "min": 7.062171282309092e-05,
            "max": 0.0002515063018788571,
            "count": 3
        },
        "Pyramids.Policy.LearningRate.sum": {
            "value": 0.0007768388410540001,
            "min": 0.0007768388410540001,
            "max": 0.0017605441131519997,
            "count": 3
        },
        "Pyramids.Policy.Epsilon.mean": {
            "value": 0.12354054545454547,
            "min": 0.12354054545454547,
            "max": 0.1838354285714286,
            "count": 3
        },
        "Pyramids.Policy.Epsilon.sum": {
            "value": 1.3589460000000002,
            "min": 1.2868480000000002,
            "max": 1.55428,
            "count": 3
        },
        "Pyramids.Policy.Beta.mean": {
            "value": 0.002361700490909092,
            "min": 0.002361700490909092,
            "max": 0.008385159314285713,
            "count": 3
        },
        "Pyramids.Policy.Beta.sum": {
            "value": 0.02597870540000001,
            "min": 0.02597870540000001,
            "max": 0.058696115199999996,
            "count": 3
        },
        "Pyramids.Losses.RNDLoss.mean": {
            "value": 0.13629108667373657,
            "min": 0.13629108667373657,
            "max": 0.5466458797454834,
            "count": 3
        },
        "Pyramids.Losses.RNDLoss.sum": {
            "value": 1.499202013015747,
            "min": 1.499202013015747,
            "max": 3.826521158218384,
            "count": 3
        },
        "Pyramids.Environment.EpisodeLength.mean": {
            "value": 984.53125,
            "min": 984.53125,
            "max": 999.0,
            "count": 3
        },
        "Pyramids.Environment.EpisodeLength.sum": {
            "value": 31505.0,
            "min": 15984.0,
            "max": 31896.0,
            "count": 3
        },
        "Pyramids.Environment.CumulativeReward.mean": {
            "value": -0.8604313000105321,
            "min": -1.0000000521540642,
            "max": -0.8604313000105321,
            "count": 3
        },
        "Pyramids.Environment.CumulativeReward.sum": {
            "value": -27.53380160033703,
            "min": -29.926401674747467,
            "max": -16.000000834465027,
            "count": 3
        },
        "Pyramids.Policy.ExtrinsicReward.mean": {
            "value": -0.8604313000105321,
            "min": -1.0000000521540642,
            "max": -0.8604313000105321,
            "count": 3
        },
        "Pyramids.Policy.ExtrinsicReward.sum": {
            "value": -27.53380160033703,
            "min": -29.926401674747467,
            "max": -16.000000834465027,
            "count": 3
        },
        "Pyramids.Policy.RndReward.mean": {
            "value": 1.6182480880524963,
            "min": 1.6182480880524963,
            "max": 11.05203421600163,
            "count": 3
        },
        "Pyramids.Policy.RndReward.sum": {
            "value": 51.78393881767988,
            "min": 51.78393881767988,
            "max": 176.83254745602608,
            "count": 3
        },
        "Pyramids.IsTraining.mean": {
            "value": 1.0,
            "min": 1.0,
            "max": 1.0,
            "count": 3
        },
        "Pyramids.IsTraining.sum": {
            "value": 1.0,
            "min": 1.0,
            "max": 1.0,
            "count": 3
        }
    },
    "metadata": {
        "timer_format_version": "0.1.0",
        "start_time_seconds": "1682274464",
        "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": "1682274671"
    },
    "total": 206.27008753400014,
    "count": 1,
    "self": 0.4815255750002052,
    "children": {
        "run_training.setup": {
            "total": 0.18821459499986304,
            "count": 1,
            "self": 0.18821459499986304
        },
        "TrainerController.start_learning": {
            "total": 205.60034736400007,
            "count": 1,
            "self": 0.14155843599451146,
            "children": {
                "TrainerController._reset_env": {
                    "total": 4.280351689000099,
                    "count": 1,
                    "self": 4.280351689000099
                },
                "TrainerController.advance": {
                    "total": 201.05487934600524,
                    "count": 6288,
                    "self": 0.1638357480042032,
                    "children": {
                        "env_step": {
                            "total": 140.15368671299962,
                            "count": 6288,
                            "self": 128.0463472810086,
                            "children": {
                                "SubprocessEnvManager._take_step": {
                                    "total": 12.01207622099696,
                                    "count": 6288,
                                    "self": 0.5344480469882456,
                                    "children": {
                                        "TorchPolicy.evaluate": {
                                            "total": 11.477628174008714,
                                            "count": 6281,
                                            "self": 11.477628174008714
                                        }
                                    }
                                },
                                "workers": {
                                    "total": 0.09526321099406232,
                                    "count": 6288,
                                    "self": 0.0,
                                    "children": {
                                        "worker_root": {
                                            "total": 205.1043499409866,
                                            "count": 6288,
                                            "is_parallel": true,
                                            "self": 89.41321146598625,
                                            "children": {
                                                "run_training.setup": {
                                                    "total": 0.0,
                                                    "count": 0,
                                                    "is_parallel": true,
                                                    "self": 0.0,
                                                    "children": {
                                                        "steps_from_proto": {
                                                            "total": 0.0028012989998842386,
                                                            "count": 1,
                                                            "is_parallel": true,
                                                            "self": 0.0009190779999244114,
                                                            "children": {
                                                                "_process_rank_one_or_two_observation": {
                                                                    "total": 0.0018822209999598272,
                                                                    "count": 8,
                                                                    "is_parallel": true,
                                                                    "self": 0.0018822209999598272
                                                                }
                                                            }
                                                        },
                                                        "UnityEnvironment.step": {
                                                            "total": 0.05221010299987938,
                                                            "count": 1,
                                                            "is_parallel": true,
                                                            "self": 0.0005575870000029681,
                                                            "children": {
                                                                "UnityEnvironment._generate_step_input": {
                                                                    "total": 0.0005302889999256877,
                                                                    "count": 1,
                                                                    "is_parallel": true,
                                                                    "self": 0.0005302889999256877
                                                                },
                                                                "communicator.exchange": {
                                                                    "total": 0.04929830700007187,
                                                                    "count": 1,
                                                                    "is_parallel": true,
                                                                    "self": 0.04929830700007187
                                                                },
                                                                "steps_from_proto": {
                                                                    "total": 0.0018239199998788536,
                                                                    "count": 1,
                                                                    "is_parallel": true,
                                                                    "self": 0.00043421499981377565,
                                                                    "children": {
                                                                        "_process_rank_one_or_two_observation": {
                                                                            "total": 0.001389705000065078,
                                                                            "count": 8,
                                                                            "is_parallel": true,
                                                                            "self": 0.001389705000065078
                                                                        }
                                                                    }
                                                                }
                                                            }
                                                        }
                                                    }
                                                },
                                                "UnityEnvironment.step": {
                                                    "total": 115.69113847500034,
                                                    "count": 6287,
                                                    "is_parallel": true,
                                                    "self": 3.3406498739839208,
                                                    "children": {
                                                        "UnityEnvironment._generate_step_input": {
                                                            "total": 2.556138471013128,
                                                            "count": 6287,
                                                            "is_parallel": true,
                                                            "self": 2.556138471013128
                                                        },
                                                        "communicator.exchange": {
                                                            "total": 99.62355481899317,
                                                            "count": 6287,
                                                            "is_parallel": true,
                                                            "self": 99.62355481899317
                                                        },
                                                        "steps_from_proto": {
                                                            "total": 10.170795311010124,
                                                            "count": 6287,
                                                            "is_parallel": true,
                                                            "self": 2.23230032399465,
                                                            "children": {
                                                                "_process_rank_one_or_two_observation": {
                                                                    "total": 7.938494987015474,
                                                                    "count": 50296,
                                                                    "is_parallel": true,
                                                                    "self": 7.938494987015474
                                                                }
                                                            }
                                                        }
                                                    }
                                                }
                                            }
                                        }
                                    }
                                }
                            }
                        },
                        "trainer_advance": {
                            "total": 60.73735688500142,
                            "count": 6288,
                            "self": 0.19752208400723248,
                            "children": {
                                "process_trajectory": {
                                    "total": 10.757370307993824,
                                    "count": 6288,
                                    "self": 10.757370307993824
                                },
                                "_update_policy": {
                                    "total": 49.78246449300036,
                                    "count": 32,
                                    "self": 31.788009819000536,
                                    "children": {
                                        "TorchPPOOptimizer.update": {
                                            "total": 17.994454673999826,
                                            "count": 2331,
                                            "self": 17.994454673999826
                                        }
                                    }
                                }
                            }
                        }
                    }
                },
                "trainer_threads": {
                    "total": 1.0390001534688054e-06,
                    "count": 1,
                    "self": 1.0390001534688054e-06
                },
                "TrainerController._save_models": {
                    "total": 0.12355685400007133,
                    "count": 1,
                    "self": 0.0014182580000579037,
                    "children": {
                        "RLTrainer._checkpoint": {
                            "total": 0.12213859600001342,
                            "count": 1,
                            "self": 0.12213859600001342
                        }
                    }
                }
            }
        }
    }
}