Nebyx commited on
Commit
e8d5ccc
·
1 Parent(s): acfe5db

First Push

Browse files
README.md CHANGED
@@ -1,14 +1,14 @@
1
  ---
2
  library_name: ml-agents
3
  tags:
4
- - Pyramids
5
  - deep-reinforcement-learning
6
  - reinforcement-learning
7
- - ML-Agents-Pyramids
8
  ---
9
 
10
- # **ppo** Agent playing **Pyramids**
11
- This is a trained model of a **ppo** agent playing **Pyramids**
12
  using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
13
 
14
  ## Usage (with ML-Agents)
 
1
  ---
2
  library_name: ml-agents
3
  tags:
4
+ - SnowballTarget
5
  - deep-reinforcement-learning
6
  - reinforcement-learning
7
+ - ML-Agents-SnowballTarget
8
  ---
9
 
10
+ # **ppo** Agent playing **SnowballTarget**
11
+ This is a trained model of a **ppo** agent playing **SnowballTarget**
12
  using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
13
 
14
  ## Usage (with ML-Agents)
config.json CHANGED
@@ -1 +1 @@
1
- {"default_settings": null, "behaviors": {"Pyramids": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 3048, "learning_rate": 0.0003, "beta": 0.01, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 5, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 500000, "network_settings": {"normalize": false, "hidden_units": 512, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}, "rnd": {"gamma": 0.99, "strength": 0.01, "network_settings": {"normalize": false, "hidden_units": 64, "num_layers": 3, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "learning_rate": 0.0001, "encoding_size": null}}, "init_path": null, "keep_checkpoints": 5, "even_checkpoints": false, "max_steps": 1000000, "time_horizon": 128, "summary_freq": 30000, "threaded": false, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/linux/Pyramids/Pyramids", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true}, "environment_parameters": null, "checkpoint_settings": {"run_id": "Pyramids Training", "initialize_from": null, "load_model": false, "resume": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
 
1
+ {"default_settings": null, "behaviors": {"SnowballTarget": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 256, "buffer_size": 3048, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 5, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 50000, "network_settings": {"normalize": false, "hidden_units": 256, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}}, "init_path": null, "keep_checkpoints": 10, "even_checkpoints": false, "max_steps": 200000, "time_horizon": 64, "summary_freq": 10000, "threaded": true, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/linux/SnowballTarget/SnowballTarget", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SnowballTarget1", "initialize_from": null, "load_model": false, "resume": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
configuration.yaml CHANGED
@@ -1,12 +1,12 @@
1
  default_settings: null
2
  behaviors:
3
- Pyramids:
4
  trainer_type: ppo
5
  hyperparameters:
6
- batch_size: 128
7
  buffer_size: 3048
8
  learning_rate: 0.0003
9
- beta: 0.01
10
  epsilon: 0.2
11
  lambd: 0.95
12
  num_epoch: 5
@@ -14,10 +14,10 @@ behaviors:
14
  learning_rate_schedule: linear
15
  beta_schedule: linear
16
  epsilon_schedule: linear
17
- checkpoint_interval: 500000
18
  network_settings:
19
  normalize: false
20
- hidden_units: 512
21
  num_layers: 2
22
  vis_encode_type: simple
23
  memory: null
@@ -35,30 +35,17 @@ behaviors:
35
  memory: null
36
  goal_conditioning_type: hyper
37
  deterministic: false
38
- rnd:
39
- gamma: 0.99
40
- strength: 0.01
41
- network_settings:
42
- normalize: false
43
- hidden_units: 64
44
- num_layers: 3
45
- vis_encode_type: simple
46
- memory: null
47
- goal_conditioning_type: hyper
48
- deterministic: false
49
- learning_rate: 0.0001
50
- encoding_size: null
51
  init_path: null
52
- keep_checkpoints: 5
53
  even_checkpoints: false
54
- max_steps: 1000000
55
- time_horizon: 128
56
- summary_freq: 30000
57
- threaded: false
58
  self_play: null
59
  behavioral_cloning: null
60
  env_settings:
61
- env_path: ./training-envs-executables/linux/Pyramids/Pyramids
62
  env_args: null
63
  base_port: 5005
64
  num_envs: 1
@@ -77,7 +64,7 @@ engine_settings:
77
  no_graphics: true
78
  environment_parameters: null
79
  checkpoint_settings:
80
- run_id: Pyramids Training
81
  initialize_from: null
82
  load_model: false
83
  resume: false
 
1
  default_settings: null
2
  behaviors:
3
+ SnowballTarget:
4
  trainer_type: ppo
5
  hyperparameters:
6
+ batch_size: 256
7
  buffer_size: 3048
8
  learning_rate: 0.0003
9
+ beta: 0.005
10
  epsilon: 0.2
11
  lambd: 0.95
12
  num_epoch: 5
 
14
  learning_rate_schedule: linear
15
  beta_schedule: linear
16
  epsilon_schedule: linear
17
+ checkpoint_interval: 50000
18
  network_settings:
19
  normalize: false
20
+ hidden_units: 256
21
  num_layers: 2
22
  vis_encode_type: simple
23
  memory: null
 
35
  memory: null
36
  goal_conditioning_type: hyper
37
  deterministic: false
 
 
 
 
 
 
 
 
 
 
 
 
 
38
  init_path: null
39
+ keep_checkpoints: 10
40
  even_checkpoints: false
41
+ max_steps: 200000
42
+ time_horizon: 64
43
+ summary_freq: 10000
44
+ threaded: true
45
  self_play: null
46
  behavioral_cloning: null
47
  env_settings:
48
+ env_path: ./training-envs-executables/linux/SnowballTarget/SnowballTarget
49
  env_args: null
50
  base_port: 5005
51
  num_envs: 1
 
64
  no_graphics: true
65
  environment_parameters: null
66
  checkpoint_settings:
67
+ run_id: SnowballTarget1
68
  initialize_from: null
69
  load_model: false
70
  resume: false
run_logs/Player-0.log CHANGED
@@ -1,14 +1,12 @@
1
- Mono path[0] = '/content/ml-agents/training-envs-executables/linux/Pyramids/Pyramids_Data/Managed'
2
- Mono config path = '/content/ml-agents/training-envs-executables/linux/Pyramids/Pyramids_Data/MonoBleedingEdge/etc'
3
- Found 1 interfaces on host : 0) 172.28.0.12
4
- Multi-casting "[IP] 172.28.0.12 [Port] 55013 [Flags] 2 [Guid] 3212091734 [EditorId] 764847374 [Version] 1048832 [Id] LinuxPlayer(13,172.28.0.12) [Debug] 0 [PackageName] LinuxPlayer [ProjectName] UnityEnvironment" to [225.0.0.222:54997]...
5
  Preloaded 'lib_burst_generated.so'
6
  Preloaded 'libgrpc_csharp_ext.x64.so'
7
- PlayerPrefs - Creating folder: /root/.config/unity3d/Unity Technologies
8
- PlayerPrefs - Creating folder: /root/.config/unity3d/Unity Technologies/UnityEnvironment
9
  Unable to load player prefs
10
- Initialize engine version: 2021.3.5f1 (40eb3a945986)
11
- [Subsystems] Discovering subsystems at path /content/ml-agents/training-envs-executables/linux/Pyramids/Pyramids_Data/UnitySubsystems
12
  Forcing GfxDevice: Null
13
  GfxDevice: creating device client; threaded=0; jobified=0
14
  NullGfxDevice:
@@ -36,31 +34,10 @@ ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
36
  FMOD failed to initialize the output device.: "Error initializing output device. " (60)
37
  FMOD initialized on nosound output
38
  Begin MonoManager ReloadAssembly
39
- - Completed reload, in 0.139 seconds
40
  ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
41
  ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
42
  ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
43
- WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
44
- WARNING: Shader Did you use #pragma only_renderers and omit this platform?
45
- WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
46
- ERROR: Shader Autodesk Interactive shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
47
- WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
48
- WARNING: Shader Did you use #pragma only_renderers and omit this platform?
49
- WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
50
- WARNING: Shader Unsupported: 'Legacy Shaders/Diffuse' - All subshaders removed
51
- WARNING: Shader Did you use #pragma only_renderers and omit this platform?
52
- WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
53
- ERROR: Shader Legacy Shaders/Diffuse shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
54
- WARNING: Shader Unsupported: 'Legacy Shaders/Diffuse' - All subshaders removed
55
- WARNING: Shader Did you use #pragma only_renderers and omit this platform?
56
- WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
57
- WARNING: Shader Unsupported: 'ML-Agents/GridPattern' - All subshaders removed
58
- WARNING: Shader Did you use #pragma only_renderers and omit this platform?
59
- WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
60
- ERROR: Shader ML-Agents/GridPattern shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
61
- WARNING: Shader Unsupported: 'ML-Agents/GridPattern' - All subshaders removed
62
- WARNING: Shader Did you use #pragma only_renderers and omit this platform?
63
- WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
64
  WARNING: Shader Unsupported: 'Standard' - All subshaders removed
65
  WARNING: Shader Did you use #pragma only_renderers and omit this platform?
66
  WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
@@ -68,60 +45,65 @@ ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/f
68
  WARNING: Shader Unsupported: 'Standard' - All subshaders removed
69
  WARNING: Shader Did you use #pragma only_renderers and omit this platform?
70
  WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
71
- UnloadTime: 1.051632 ms
72
  ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
73
  requesting resize 84 x 84
74
  Setting up 1 worker threads for Enlighten.
75
- PlayerConnection::CleanupMemory Statistics:
76
  [ALLOC_TEMP_TLS] TLS Allocator
77
  StackAllocators :
78
  [ALLOC_TEMP_MAIN]
79
- Peak usage frame count: [16.0 KB-32.0 KB]: 5625 frames, [32.0 KB-64.0 KB]: 9768 frames, [64.0 KB-128.0 KB]: 3369 frames, [2.0 MB-4.0 MB]: 1 frames
80
  Initial Block Size 4.0 MB
81
  Current Block Size 4.0 MB
82
  Peak Allocated Bytes 2.0 MB
83
  Overflow Count 0
 
 
 
 
 
 
 
 
 
 
84
  [ALLOC_TEMP_Background Job.Worker 8]
85
  Initial Block Size 32.0 KB
86
  Current Block Size 32.0 KB
87
  Peak Allocated Bytes 0 B
88
  Overflow Count 0
89
- [ALLOC_TEMP_Background Job.Worker 10]
90
  Initial Block Size 32.0 KB
91
  Current Block Size 32.0 KB
92
  Peak Allocated Bytes 0 B
93
  Overflow Count 0
94
- [ALLOC_TEMP_Background Job.Worker 6]
 
 
 
 
 
95
  Initial Block Size 32.0 KB
96
  Current Block Size 32.0 KB
97
  Peak Allocated Bytes 0 B
98
  Overflow Count 0
99
- [ALLOC_TEMP_AUDIO_FMOD mixer thread]
100
- Initial Block Size 64.0 KB
101
- Current Block Size 64.0 KB
102
- Peak Allocated Bytes 0 B
103
- Overflow Count 0
104
- [ALLOC_TEMP_Background Job.Worker 1]
105
  Initial Block Size 32.0 KB
106
  Current Block Size 32.0 KB
107
  Peak Allocated Bytes 0 B
108
  Overflow Count 0
109
- [ALLOC_TEMP_Background Job.Worker 11]
110
  Initial Block Size 32.0 KB
111
  Current Block Size 32.0 KB
112
  Peak Allocated Bytes 0 B
113
  Overflow Count 0
114
- [ALLOC_TEMP_Background Job.Worker 3]
115
  Initial Block Size 32.0 KB
116
  Current Block Size 32.0 KB
117
  Peak Allocated Bytes 0 B
118
  Overflow Count 0
119
- [ALLOC_TEMP_BatchDeleteObjects]
120
- Initial Block Size 64.0 KB
121
- Current Block Size 64.0 KB
122
- Peak Allocated Bytes 0 B
123
- Overflow Count 0
124
- [ALLOC_TEMP_AUDIO_FMOD stream thread]
125
  Initial Block Size 64.0 KB
126
  Current Block Size 64.0 KB
127
  Peak Allocated Bytes 0 B
@@ -131,7 +113,7 @@ PlayerConnection::CleanupMemory Statistics:
131
  Current Block Size 32.0 KB
132
  Peak Allocated Bytes 0 B
133
  Overflow Count 0
134
- [ALLOC_TEMP_Background Job.Worker 7]
135
  Initial Block Size 32.0 KB
136
  Current Block Size 32.0 KB
137
  Peak Allocated Bytes 0 B
@@ -141,17 +123,7 @@ PlayerConnection::CleanupMemory Statistics:
141
  Current Block Size 32.0 KB
142
  Peak Allocated Bytes 0 B
143
  Overflow Count 0
144
- [ALLOC_TEMP_Loading.PreloadManager]
145
- Initial Block Size 256.0 KB
146
- Current Block Size 320.0 KB
147
- Peak Allocated Bytes 251.5 KB
148
- Overflow Count 4
149
- [ALLOC_TEMP_Profiler.Dispatcher]
150
- Initial Block Size 64.0 KB
151
- Current Block Size 64.0 KB
152
- Peak Allocated Bytes 480 B
153
- Overflow Count 0
154
- [ALLOC_TEMP_Background Job.Worker 12]
155
  Initial Block Size 32.0 KB
156
  Current Block Size 32.0 KB
157
  Peak Allocated Bytes 0 B
@@ -171,64 +143,48 @@ PlayerConnection::CleanupMemory Statistics:
171
  Current Block Size 32.0 KB
172
  Peak Allocated Bytes 0 B
173
  Overflow Count 0
174
- [ALLOC_TEMP_Background Job.Worker 0]
175
  Initial Block Size 32.0 KB
176
  Current Block Size 32.0 KB
177
  Peak Allocated Bytes 0 B
178
  Overflow Count 0
179
- [ALLOC_TEMP_Background Job.Worker 4]
180
  Initial Block Size 32.0 KB
181
  Current Block Size 32.0 KB
182
  Peak Allocated Bytes 0 B
183
  Overflow Count 0
184
- [ALLOC_TEMP_Job.Worker 0]
185
- Initial Block Size 256.0 KB
186
- Current Block Size 256.0 KB
187
- Peak Allocated Bytes 0.8 KB
188
- Overflow Count 0
189
- [ALLOC_TEMP_Background Job.Worker 9]
190
  Initial Block Size 32.0 KB
191
  Current Block Size 32.0 KB
192
  Peak Allocated Bytes 0 B
193
  Overflow Count 0
194
- [ALLOC_TEMP_Background Job.Worker 14]
195
  Initial Block Size 32.0 KB
196
  Current Block Size 32.0 KB
197
  Peak Allocated Bytes 0 B
198
  Overflow Count 0
199
- [ALLOC_TEMP_EnlightenWorker]
200
  Initial Block Size 64.0 KB
201
  Current Block Size 64.0 KB
202
  Peak Allocated Bytes 0 B
203
  Overflow Count 0
204
- [ALLOC_TEMP_Loading.AsyncRead]
205
- Initial Block Size 64.0 KB
206
- Current Block Size 64.0 KB
207
- Peak Allocated Bytes 128 B
208
- Overflow Count 0
209
- [ALLOC_MEMORYPROFILER]
210
- Peak usage frame count: [0.5 MB-1.0 MB]: 299 frames, [1.0 MB-2.0 MB]: 18464 frames
211
- Requested Block Size 1.0 MB
212
- Peak Block count 2
213
- Peak Allocated memory 1.6 MB
214
- Peak Large allocation bytes 0 B
215
  [ALLOC_DEFAULT] Dual Thread Allocator
216
- Peak main deferred allocation count 11914
217
  [ALLOC_BUCKET]
218
  Large Block size 4.0 MB
219
  Used Block count 1
220
- Peak Allocated bytes 1.7 MB
221
  [ALLOC_DEFAULT_MAIN]
222
- Peak usage frame count: [8.0 MB-16.0 MB]: 1 frames, [16.0 MB-32.0 MB]: 18762 frames
223
  Requested Block Size 16.0 MB
224
- Peak Block count 3
225
- Peak Allocated memory 30.8 MB
226
  Peak Large allocation bytes 0 B
227
  [ALLOC_DEFAULT_THREAD]
228
- Peak usage frame count: [16.0 MB-32.0 MB]: 18763 frames
229
  Requested Block Size 16.0 MB
230
  Peak Block count 1
231
- Peak Allocated memory 22.9 MB
232
  Peak Large allocation bytes 16.0 MB
233
  [ALLOC_TEMP_JOB_1_FRAME]
234
  Initial Block Size 2.0 MB
@@ -255,63 +211,52 @@ PlayerConnection::CleanupMemory Statistics:
255
  [ALLOC_BUCKET]
256
  Large Block size 4.0 MB
257
  Used Block count 1
258
- Peak Allocated bytes 1.7 MB
259
  [ALLOC_GFX_MAIN]
260
- Peak usage frame count: [32.0 KB-64.0 KB]: 18762 frames, [64.0 KB-128.0 KB]: 1 frames
261
  Requested Block Size 16.0 MB
262
  Peak Block count 1
263
- Peak Allocated memory 67.0 KB
264
  Peak Large allocation bytes 0 B
265
  [ALLOC_GFX_THREAD]
266
- Peak usage frame count: [64.0 KB-128.0 KB]: 18763 frames
267
  Requested Block Size 16.0 MB
268
  Peak Block count 1
269
- Peak Allocated memory 67.7 KB
270
  Peak Large allocation bytes 0 B
271
  [ALLOC_CACHEOBJECTS] Dual Thread Allocator
272
- Peak main deferred allocation count 1
273
  [ALLOC_BUCKET]
274
  Large Block size 4.0 MB
275
  Used Block count 1
276
- Peak Allocated bytes 1.7 MB
277
  [ALLOC_CACHEOBJECTS_MAIN]
278
- Peak usage frame count: [0.5 MB-1.0 MB]: 299 frames, [1.0 MB-2.0 MB]: 18464 frames
279
  Requested Block Size 4.0 MB
280
  Peak Block count 1
281
- Peak Allocated memory 1.4 MB
282
  Peak Large allocation bytes 0 B
283
  [ALLOC_CACHEOBJECTS_THREAD]
284
- Peak usage frame count: [1.0 MB-2.0 MB]: 18762 frames, [4.0 MB-8.0 MB]: 1 frames
285
  Requested Block Size 4.0 MB
286
- Peak Block count 2
287
- Peak Allocated memory 4.4 MB
288
  Peak Large allocation bytes 0 B
289
  [ALLOC_TYPETREE] Dual Thread Allocator
290
  Peak main deferred allocation count 0
291
  [ALLOC_BUCKET]
292
  Large Block size 4.0 MB
293
  Used Block count 1
294
- Peak Allocated bytes 1.7 MB
295
  [ALLOC_TYPETREE_MAIN]
296
- Peak usage frame count: [0-1.0 KB]: 18763 frames
297
  Requested Block Size 2.0 MB
298
  Peak Block count 1
299
  Peak Allocated memory 1.0 KB
300
  Peak Large allocation bytes 0 B
301
  [ALLOC_TYPETREE_THREAD]
302
- Peak usage frame count: [1.0 KB-2.0 KB]: 18763 frames
303
  Requested Block Size 2.0 MB
304
  Peak Block count 1
305
- Peak Allocated memory 1.9 KB
306
  Peak Large allocation bytes 0 B
307
- [ALLOC_PROFILER]
308
- Peak usage frame count: [16.0 KB-32.0 KB]: 18763 frames
309
- Requested Block Size 16.0 MB
310
- Peak Block count 1
311
- Peak Allocated memory 28.6 KB
312
- Peak Large allocation bytes 0 B
313
- [ALLOC_PROFILER_BUCKET]
314
- Large Block size 4.0 MB
315
- Used Block count 1
316
- Peak Allocated bytes 396 B
317
- ##utp:{"type":"MemoryLeaks","version":2,"phase":"Immediate","time":1692630402120,"processId":9715,"allocatedMemory":1970133,"memoryLabels":[{"Default":9033},{"Permanent":1264},{"NewDelete":12801},{"Thread":34460},{"Manager":10603},{"VertexData":12},{"Geometry":280},{"Texture":16},{"Shader":69173},{"Material":24},{"GfxDevice":35248},{"Animation":304},{"Audio":3976},{"Physics":288},{"Serialization":216},{"Input":9176},{"JobScheduler":200},{"Mono":40},{"ScriptingNativeRuntime":216},{"BaseObject":1609212},{"Resource":592},{"Renderer":1936},{"Transform":48},{"File":800},{"WebCam":24},{"Culling":40},{"Terrain":953},{"Wind":24},{"String":3447},{"DynamicArray":30868},{"HashMap":7680},{"Utility":1360},{"PoolAlloc":1160},{"TypeTree":1792},{"ScriptManager":80},{"RuntimeInitializeOnLoadManager":72},{"SpriteAtlas":112},{"GI":3272},{"Unet":16},{"Director":7760},{"WebRequest":720},{"VR":45473},{"SceneManager":424},{"Video":32},{"LazyScriptCache":32},{"NativeArray":384},{"Camera":25},{"Secure":1},{"SerializationCache":624},{"APIUpdating":5872},{"Subsystems":384},{"VirtualTexturing":57552},{"AssetReference":32}]}
 
1
+ Mono path[0] = '/content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/Managed'
2
+ Mono config path = '/content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/MonoBleedingEdge/etc'
 
 
3
  Preloaded 'lib_burst_generated.so'
4
  Preloaded 'libgrpc_csharp_ext.x64.so'
5
+ PlayerPrefs - Creating folder: /root/.config/unity3d/Hugging Face
6
+ PlayerPrefs - Creating folder: /root/.config/unity3d/Hugging Face/SnowballTarget
7
  Unable to load player prefs
8
+ Initialize engine version: 2021.3.14f1 (eee1884e7226)
9
+ [Subsystems] Discovering subsystems at path /content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/UnitySubsystems
10
  Forcing GfxDevice: Null
11
  GfxDevice: creating device client; threaded=0; jobified=0
12
  NullGfxDevice:
 
34
  FMOD failed to initialize the output device.: "Error initializing output device. " (60)
35
  FMOD initialized on nosound output
36
  Begin MonoManager ReloadAssembly
37
+ - Completed reload, in 0.081 seconds
38
  ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
39
  ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
40
  ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
41
  WARNING: Shader Unsupported: 'Standard' - All subshaders removed
42
  WARNING: Shader Did you use #pragma only_renderers and omit this platform?
43
  WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
 
45
  WARNING: Shader Unsupported: 'Standard' - All subshaders removed
46
  WARNING: Shader Did you use #pragma only_renderers and omit this platform?
47
  WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
48
+ UnloadTime: 0.614366 ms
49
  ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
50
  requesting resize 84 x 84
51
  Setting up 1 worker threads for Enlighten.
52
+ Memory Statistics:
53
  [ALLOC_TEMP_TLS] TLS Allocator
54
  StackAllocators :
55
  [ALLOC_TEMP_MAIN]
56
+ Peak usage frame count: [8.0 KB-16.0 KB]: 5370 frames, [16.0 KB-32.0 KB]: 91 frames, [2.0 MB-4.0 MB]: 1 frames
57
  Initial Block Size 4.0 MB
58
  Current Block Size 4.0 MB
59
  Peak Allocated Bytes 2.0 MB
60
  Overflow Count 0
61
+ [ALLOC_TEMP_Loading.AsyncRead]
62
+ Initial Block Size 64.0 KB
63
+ Current Block Size 64.0 KB
64
+ Peak Allocated Bytes 198 B
65
+ Overflow Count 0
66
+ [ALLOC_TEMP_Loading.PreloadManager]
67
+ Initial Block Size 256.0 KB
68
+ Current Block Size 304.0 KB
69
+ Peak Allocated Bytes 228.9 KB
70
+ Overflow Count 4
71
  [ALLOC_TEMP_Background Job.Worker 8]
72
  Initial Block Size 32.0 KB
73
  Current Block Size 32.0 KB
74
  Peak Allocated Bytes 0 B
75
  Overflow Count 0
76
+ [ALLOC_TEMP_Background Job.Worker 9]
77
  Initial Block Size 32.0 KB
78
  Current Block Size 32.0 KB
79
  Peak Allocated Bytes 0 B
80
  Overflow Count 0
81
+ [ALLOC_TEMP_Job.Worker 0]
82
+ Initial Block Size 256.0 KB
83
+ Current Block Size 256.0 KB
84
+ Peak Allocated Bytes 3.6 KB
85
+ Overflow Count 0
86
+ [ALLOC_TEMP_Background Job.Worker 10]
87
  Initial Block Size 32.0 KB
88
  Current Block Size 32.0 KB
89
  Peak Allocated Bytes 0 B
90
  Overflow Count 0
91
+ [ALLOC_TEMP_Background Job.Worker 14]
 
 
 
 
 
92
  Initial Block Size 32.0 KB
93
  Current Block Size 32.0 KB
94
  Peak Allocated Bytes 0 B
95
  Overflow Count 0
96
+ [ALLOC_TEMP_Background Job.Worker 6]
97
  Initial Block Size 32.0 KB
98
  Current Block Size 32.0 KB
99
  Peak Allocated Bytes 0 B
100
  Overflow Count 0
101
+ [ALLOC_TEMP_Background Job.Worker 12]
102
  Initial Block Size 32.0 KB
103
  Current Block Size 32.0 KB
104
  Peak Allocated Bytes 0 B
105
  Overflow Count 0
106
+ [ALLOC_TEMP_EnlightenWorker]
 
 
 
 
 
107
  Initial Block Size 64.0 KB
108
  Current Block Size 64.0 KB
109
  Peak Allocated Bytes 0 B
 
113
  Current Block Size 32.0 KB
114
  Peak Allocated Bytes 0 B
115
  Overflow Count 0
116
+ [ALLOC_TEMP_Background Job.Worker 1]
117
  Initial Block Size 32.0 KB
118
  Current Block Size 32.0 KB
119
  Peak Allocated Bytes 0 B
 
123
  Current Block Size 32.0 KB
124
  Peak Allocated Bytes 0 B
125
  Overflow Count 0
126
+ [ALLOC_TEMP_Background Job.Worker 7]
 
 
 
 
 
 
 
 
 
 
127
  Initial Block Size 32.0 KB
128
  Current Block Size 32.0 KB
129
  Peak Allocated Bytes 0 B
 
143
  Current Block Size 32.0 KB
144
  Peak Allocated Bytes 0 B
145
  Overflow Count 0
146
+ [ALLOC_TEMP_Background Job.Worker 11]
147
  Initial Block Size 32.0 KB
148
  Current Block Size 32.0 KB
149
  Peak Allocated Bytes 0 B
150
  Overflow Count 0
151
+ [ALLOC_TEMP_Background Job.Worker 3]
152
  Initial Block Size 32.0 KB
153
  Current Block Size 32.0 KB
154
  Peak Allocated Bytes 0 B
155
  Overflow Count 0
156
+ [ALLOC_TEMP_Background Job.Worker 0]
 
 
 
 
 
157
  Initial Block Size 32.0 KB
158
  Current Block Size 32.0 KB
159
  Peak Allocated Bytes 0 B
160
  Overflow Count 0
161
+ [ALLOC_TEMP_Background Job.Worker 4]
162
  Initial Block Size 32.0 KB
163
  Current Block Size 32.0 KB
164
  Peak Allocated Bytes 0 B
165
  Overflow Count 0
166
+ [ALLOC_TEMP_BatchDeleteObjects]
167
  Initial Block Size 64.0 KB
168
  Current Block Size 64.0 KB
169
  Peak Allocated Bytes 0 B
170
  Overflow Count 0
 
 
 
 
 
 
 
 
 
 
 
171
  [ALLOC_DEFAULT] Dual Thread Allocator
172
+ Peak main deferred allocation count 39
173
  [ALLOC_BUCKET]
174
  Large Block size 4.0 MB
175
  Used Block count 1
176
+ Peak Allocated bytes 1.0 MB
177
  [ALLOC_DEFAULT_MAIN]
178
+ Peak usage frame count: [4.0 MB-8.0 MB]: 5462 frames
179
  Requested Block Size 16.0 MB
180
+ Peak Block count 1
181
+ Peak Allocated memory 6.7 MB
182
  Peak Large allocation bytes 0 B
183
  [ALLOC_DEFAULT_THREAD]
184
+ Peak usage frame count: [16.0 MB-32.0 MB]: 5462 frames
185
  Requested Block Size 16.0 MB
186
  Peak Block count 1
187
+ Peak Allocated memory 17.8 MB
188
  Peak Large allocation bytes 16.0 MB
189
  [ALLOC_TEMP_JOB_1_FRAME]
190
  Initial Block Size 2.0 MB
 
211
  [ALLOC_BUCKET]
212
  Large Block size 4.0 MB
213
  Used Block count 1
214
+ Peak Allocated bytes 1.0 MB
215
  [ALLOC_GFX_MAIN]
216
+ Peak usage frame count: [32.0 KB-64.0 KB]: 4501 frames, [64.0 KB-128.0 KB]: 961 frames
217
  Requested Block Size 16.0 MB
218
  Peak Block count 1
219
+ Peak Allocated memory 66.8 KB
220
  Peak Large allocation bytes 0 B
221
  [ALLOC_GFX_THREAD]
222
+ Peak usage frame count: [32.0 KB-64.0 KB]: 5462 frames
223
  Requested Block Size 16.0 MB
224
  Peak Block count 1
225
+ Peak Allocated memory 39.6 KB
226
  Peak Large allocation bytes 0 B
227
  [ALLOC_CACHEOBJECTS] Dual Thread Allocator
228
+ Peak main deferred allocation count 0
229
  [ALLOC_BUCKET]
230
  Large Block size 4.0 MB
231
  Used Block count 1
232
+ Peak Allocated bytes 1.0 MB
233
  [ALLOC_CACHEOBJECTS_MAIN]
234
+ Peak usage frame count: [0.5 MB-1.0 MB]: 5462 frames
235
  Requested Block Size 4.0 MB
236
  Peak Block count 1
237
+ Peak Allocated memory 0.6 MB
238
  Peak Large allocation bytes 0 B
239
  [ALLOC_CACHEOBJECTS_THREAD]
240
+ Peak usage frame count: [0.5 MB-1.0 MB]: 5461 frames, [2.0 MB-4.0 MB]: 1 frames
241
  Requested Block Size 4.0 MB
242
+ Peak Block count 1
243
+ Peak Allocated memory 2.2 MB
244
  Peak Large allocation bytes 0 B
245
  [ALLOC_TYPETREE] Dual Thread Allocator
246
  Peak main deferred allocation count 0
247
  [ALLOC_BUCKET]
248
  Large Block size 4.0 MB
249
  Used Block count 1
250
+ Peak Allocated bytes 1.0 MB
251
  [ALLOC_TYPETREE_MAIN]
252
+ Peak usage frame count: [0-1.0 KB]: 5462 frames
253
  Requested Block Size 2.0 MB
254
  Peak Block count 1
255
  Peak Allocated memory 1.0 KB
256
  Peak Large allocation bytes 0 B
257
  [ALLOC_TYPETREE_THREAD]
258
+ Peak usage frame count: [1.0 KB-2.0 KB]: 5462 frames
259
  Requested Block Size 2.0 MB
260
  Peak Block count 1
261
+ Peak Allocated memory 1.7 KB
262
  Peak Large allocation bytes 0 B
 
 
 
 
 
 
 
 
 
 
 
run_logs/timers.json CHANGED
@@ -1,250 +1,214 @@
1
  {
2
  "name": "root",
3
  "gauges": {
4
- "Pyramids.Policy.Entropy.mean": {
5
- "value": 0.36673593521118164,
6
- "min": 0.36431148648262024,
7
- "max": 1.430188775062561,
8
- "count": 33
9
  },
10
- "Pyramids.Policy.Entropy.sum": {
11
- "value": 11060.755859375,
12
- "min": 10894.37109375,
13
- "max": 43386.20703125,
14
- "count": 33
15
  },
16
- "Pyramids.Step.mean": {
17
- "value": 989896.0,
18
- "min": 29952.0,
19
- "max": 989896.0,
20
- "count": 33
21
  },
22
- "Pyramids.Step.sum": {
23
- "value": 989896.0,
24
- "min": 29952.0,
25
- "max": 989896.0,
26
- "count": 33
27
  },
28
- "Pyramids.Policy.ExtrinsicValueEstimate.mean": {
29
- "value": 0.614128589630127,
30
- "min": -0.10498394817113876,
31
- "max": 0.614128589630127,
32
- "count": 33
33
  },
34
- "Pyramids.Policy.ExtrinsicValueEstimate.sum": {
35
- "value": 177.483154296875,
36
- "min": -25.301132202148438,
37
- "max": 177.483154296875,
38
- "count": 33
39
  },
40
- "Pyramids.Policy.RndValueEstimate.mean": {
41
- "value": -0.0003875170077662915,
42
- "min": -0.006516089662909508,
43
- "max": 0.1733197420835495,
44
- "count": 33
45
  },
46
- "Pyramids.Policy.RndValueEstimate.sum": {
47
- "value": -0.11199241876602173,
48
- "min": -1.7919247150421143,
49
- "max": 41.770057678222656,
50
- "count": 33
51
  },
52
- "Pyramids.Losses.PolicyLoss.mean": {
53
- "value": 0.07044833040492529,
54
- "min": 0.06793646137981366,
55
- "max": 0.07526085881205896,
56
- "count": 33
57
  },
58
- "Pyramids.Losses.PolicyLoss.sum": {
59
- "value": 0.7044833040492529,
60
- "min": 0.4982913784808554,
61
- "max": 0.7405359965919043,
62
- "count": 33
63
  },
64
- "Pyramids.Losses.ValueLoss.mean": {
65
- "value": 0.016815278137868702,
66
- "min": 0.0009372274771658244,
67
- "max": 0.016815278137868702,
68
- "count": 33
69
  },
70
- "Pyramids.Losses.ValueLoss.sum": {
71
- "value": 0.16815278137868703,
72
- "min": 0.00850537928391339,
73
- "max": 0.16815278137868703,
74
- "count": 33
75
  },
76
- "Pyramids.Policy.LearningRate.mean": {
77
- "value": 7.314637561819999e-06,
78
- "min": 7.314637561819999e-06,
79
- "max": 0.00029515063018788575,
80
- "count": 33
81
  },
82
- "Pyramids.Policy.LearningRate.sum": {
83
- "value": 7.314637561819999e-05,
84
- "min": 7.314637561819999e-05,
85
- "max": 0.0023259887246705004,
86
- "count": 33
87
  },
88
- "Pyramids.Policy.Epsilon.mean": {
89
- "value": 0.10243818000000002,
90
- "min": 0.10243818000000002,
91
- "max": 0.19838354285714285,
92
- "count": 33
93
  },
94
- "Pyramids.Policy.Epsilon.sum": {
95
- "value": 1.0243818000000002,
96
- "min": 0.9763622000000001,
97
- "max": 1.7753295000000002,
98
- "count": 33
99
  },
100
- "Pyramids.Policy.Beta.mean": {
101
- "value": 0.00025357418199999993,
102
- "min": 0.00025357418199999993,
103
- "max": 0.00983851593142857,
104
- "count": 33
105
  },
106
- "Pyramids.Policy.Beta.sum": {
107
- "value": 0.0025357418199999995,
108
- "min": 0.0025357418199999995,
109
- "max": 0.07755541705,
110
- "count": 33
111
  },
112
- "Pyramids.Losses.RNDLoss.mean": {
113
- "value": 0.008572550490498543,
114
- "min": 0.008433639071881771,
115
- "max": 0.2828032970428467,
116
- "count": 33
117
  },
118
- "Pyramids.Losses.RNDLoss.sum": {
119
- "value": 0.08572550117969513,
120
- "min": 0.07785230875015259,
121
- "max": 1.9796230792999268,
122
- "count": 33
123
  },
124
- "Pyramids.Environment.EpisodeLength.mean": {
125
- "value": 292.5327102803738,
126
- "min": 292.5327102803738,
127
- "max": 999.0,
128
- "count": 33
129
  },
130
- "Pyramids.Environment.EpisodeLength.sum": {
131
- "value": 31301.0,
132
- "min": 15984.0,
133
- "max": 32973.0,
134
- "count": 33
135
  },
136
- "Pyramids.Environment.CumulativeReward.mean": {
137
- "value": 1.651370080135693,
138
- "min": -1.0000000521540642,
139
- "max": 1.660507352885447,
140
- "count": 33
141
- },
142
- "Pyramids.Environment.CumulativeReward.sum": {
143
- "value": 176.69659857451916,
144
- "min": -27.814001739025116,
145
- "max": 176.69659857451916,
146
- "count": 33
147
- },
148
- "Pyramids.Policy.ExtrinsicReward.mean": {
149
- "value": 1.651370080135693,
150
- "min": -1.0000000521540642,
151
- "max": 1.660507352885447,
152
- "count": 33
153
- },
154
- "Pyramids.Policy.ExtrinsicReward.sum": {
155
- "value": 176.69659857451916,
156
- "min": -27.814001739025116,
157
- "max": 176.69659857451916,
158
- "count": 33
159
- },
160
- "Pyramids.Policy.RndReward.mean": {
161
- "value": 0.02650154482752246,
162
- "min": 0.02650154482752246,
163
- "max": 6.0177089758217335,
164
- "count": 33
165
- },
166
- "Pyramids.Policy.RndReward.sum": {
167
- "value": 2.835665296544903,
168
- "min": 2.6516609785321634,
169
- "max": 96.28334361314774,
170
- "count": 33
171
- },
172
- "Pyramids.IsTraining.mean": {
173
  "value": 1.0,
174
  "min": 1.0,
175
  "max": 1.0,
176
- "count": 33
177
  },
178
- "Pyramids.IsTraining.sum": {
179
  "value": 1.0,
180
  "min": 1.0,
181
  "max": 1.0,
182
- "count": 33
183
  }
184
  },
185
  "metadata": {
186
  "timer_format_version": "0.1.0",
187
- "start_time_seconds": "1692627825",
188
  "python_version": "3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0]",
189
- "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",
190
  "mlagents_version": "0.31.0.dev0",
191
  "mlagents_envs_version": "0.31.0.dev0",
192
  "communication_protocol_version": "1.5.0",
193
  "pytorch_version": "1.11.0+cu102",
194
  "numpy_version": "1.21.2",
195
- "end_time_seconds": "1692630402"
196
  },
197
- "total": 2576.4502507760003,
198
  "count": 1,
199
- "self": 0.8923756310000499,
200
  "children": {
201
  "run_training.setup": {
202
- "total": 0.06422368400035339,
203
  "count": 1,
204
- "self": 0.06422368400035339
205
  },
206
  "TrainerController.start_learning": {
207
- "total": 2575.493651461,
208
  "count": 1,
209
- "self": 1.360992616128442,
210
  "children": {
211
  "TrainerController._reset_env": {
212
- "total": 4.52964624499964,
213
  "count": 1,
214
- "self": 4.52964624499964
215
  },
216
  "TrainerController.advance": {
217
- "total": 2569.4531833578717,
218
- "count": 64012,
219
- "self": 1.3977537267232947,
220
  "children": {
221
  "env_step": {
222
- "total": 1548.922745170055,
223
- "count": 64012,
224
- "self": 1439.9264165929922,
225
  "children": {
226
  "SubprocessEnvManager._take_step": {
227
- "total": 108.16985077405116,
228
- "count": 64012,
229
- "self": 4.760057118056466,
230
  "children": {
231
  "TorchPolicy.evaluate": {
232
- "total": 103.40979365599469,
233
- "count": 62543,
234
- "self": 103.40979365599469
235
  }
236
  }
237
  },
238
  "workers": {
239
- "total": 0.8264778030115849,
240
- "count": 64012,
241
  "self": 0.0,
242
  "children": {
243
  "worker_root": {
244
- "total": 2570.281450463085,
245
- "count": 64012,
246
  "is_parallel": true,
247
- "self": 1244.1538492179202,
248
  "children": {
249
  "run_training.setup": {
250
  "total": 0.0,
@@ -253,48 +217,48 @@
253
  "self": 0.0,
254
  "children": {
255
  "steps_from_proto": {
256
- "total": 0.002736176999860618,
257
  "count": 1,
258
  "is_parallel": true,
259
- "self": 0.0007984869998836075,
260
  "children": {
261
  "_process_rank_one_or_two_observation": {
262
- "total": 0.0019376899999770103,
263
- "count": 8,
264
  "is_parallel": true,
265
- "self": 0.0019376899999770103
266
  }
267
  }
268
  },
269
  "UnityEnvironment.step": {
270
- "total": 0.04879034199984744,
271
  "count": 1,
272
  "is_parallel": true,
273
- "self": 0.0006021699996381358,
274
  "children": {
275
  "UnityEnvironment._generate_step_input": {
276
- "total": 0.0004900160001852782,
277
  "count": 1,
278
  "is_parallel": true,
279
- "self": 0.0004900160001852782
280
  },
281
  "communicator.exchange": {
282
- "total": 0.0457208590000846,
283
  "count": 1,
284
  "is_parallel": true,
285
- "self": 0.0457208590000846
286
  },
287
  "steps_from_proto": {
288
- "total": 0.0019772969999394263,
289
  "count": 1,
290
  "is_parallel": true,
291
- "self": 0.0003963949998251337,
292
  "children": {
293
  "_process_rank_one_or_two_observation": {
294
- "total": 0.0015809020001142926,
295
- "count": 8,
296
  "is_parallel": true,
297
- "self": 0.0015809020001142926
298
  }
299
  }
300
  }
@@ -303,34 +267,34 @@
303
  }
304
  },
305
  "UnityEnvironment.step": {
306
- "total": 1326.127601245165,
307
- "count": 64011,
308
  "is_parallel": true,
309
- "self": 33.56096961828143,
310
  "children": {
311
  "UnityEnvironment._generate_step_input": {
312
- "total": 23.206274679962007,
313
- "count": 64011,
314
  "is_parallel": true,
315
- "self": 23.206274679962007
316
  },
317
  "communicator.exchange": {
318
- "total": 1164.1544746239952,
319
- "count": 64011,
320
  "is_parallel": true,
321
- "self": 1164.1544746239952
322
  },
323
  "steps_from_proto": {
324
- "total": 105.2058823229263,
325
- "count": 64011,
326
  "is_parallel": true,
327
- "self": 20.55290387672858,
328
  "children": {
329
  "_process_rank_one_or_two_observation": {
330
- "total": 84.65297844619772,
331
- "count": 512088,
332
  "is_parallel": true,
333
- "self": 84.65297844619772
334
  }
335
  }
336
  }
@@ -341,33 +305,53 @@
341
  }
342
  }
343
  }
344
- },
345
- "trainer_advance": {
346
- "total": 1019.1326844610935,
347
- "count": 64012,
348
- "self": 2.701204310162211,
 
 
 
 
 
 
 
 
349
  "children": {
350
- "process_trajectory": {
351
- "total": 112.04863130093054,
352
- "count": 64012,
353
- "self": 111.78617748493025,
 
354
  "children": {
355
- "RLTrainer._checkpoint": {
356
- "total": 0.2624538160002885,
357
- "count": 2,
358
- "self": 0.2624538160002885
359
- }
360
- }
361
- },
362
- "_update_policy": {
363
- "total": 904.3828488500008,
364
- "count": 309,
365
- "self": 584.6450213040061,
366
- "children": {
367
- "TorchPPOOptimizer.update": {
368
- "total": 319.7378275459946,
369
- "count": 38335,
370
- "self": 319.7378275459946
 
 
 
 
 
 
 
 
 
 
 
371
  }
372
  }
373
  }
@@ -375,20 +359,15 @@
375
  }
376
  }
377
  },
378
- "trainer_threads": {
379
- "total": 1.4229999578674324e-06,
380
- "count": 1,
381
- "self": 1.4229999578674324e-06
382
- },
383
  "TrainerController._save_models": {
384
- "total": 0.14982781900016562,
385
  "count": 1,
386
- "self": 0.0020308519997342955,
387
  "children": {
388
  "RLTrainer._checkpoint": {
389
- "total": 0.14779696700043132,
390
  "count": 1,
391
- "self": 0.14779696700043132
392
  }
393
  }
394
  }
 
1
  {
2
  "name": "root",
3
  "gauges": {
4
+ "SnowballTarget.Policy.Entropy.mean": {
5
+ "value": 1.1101230382919312,
6
+ "min": 1.1101230382919312,
7
+ "max": 2.8806204795837402,
8
+ "count": 20
9
  },
10
+ "SnowballTarget.Policy.Entropy.sum": {
11
+ "value": 10648.2998046875,
12
+ "min": 10648.2998046875,
13
+ "max": 31686.82421875,
14
+ "count": 20
15
  },
16
+ "SnowballTarget.Step.mean": {
17
+ "value": 199984.0,
18
+ "min": 9952.0,
19
+ "max": 199984.0,
20
+ "count": 20
21
  },
22
+ "SnowballTarget.Step.sum": {
23
+ "value": 199984.0,
24
+ "min": 9952.0,
25
+ "max": 199984.0,
26
+ "count": 20
27
  },
28
+ "SnowballTarget.Policy.ExtrinsicValueEstimate.mean": {
29
+ "value": 11.994396209716797,
30
+ "min": 0.1882990151643753,
31
+ "max": 11.994396209716797,
32
+ "count": 20
33
  },
34
+ "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": {
35
+ "value": 2338.9072265625,
36
+ "min": 36.53001022338867,
37
+ "max": 2405.818359375,
38
+ "count": 20
39
  },
40
+ "SnowballTarget.Environment.EpisodeLength.mean": {
41
+ "value": 199.0,
42
+ "min": 199.0,
43
+ "max": 199.0,
44
+ "count": 20
45
  },
46
+ "SnowballTarget.Environment.EpisodeLength.sum": {
47
+ "value": 10945.0,
48
+ "min": 8756.0,
49
+ "max": 10945.0,
50
+ "count": 20
51
  },
52
+ "SnowballTarget.Environment.CumulativeReward.mean": {
53
+ "value": 24.227272727272727,
54
+ "min": 3.3181818181818183,
55
+ "max": 24.345454545454544,
56
+ "count": 20
57
  },
58
+ "SnowballTarget.Environment.CumulativeReward.sum": {
59
+ "value": 1066.0,
60
+ "min": 146.0,
61
+ "max": 1339.0,
62
+ "count": 20
63
  },
64
+ "SnowballTarget.Policy.ExtrinsicReward.mean": {
65
+ "value": 24.227272727272727,
66
+ "min": 3.3181818181818183,
67
+ "max": 24.345454545454544,
68
+ "count": 20
69
  },
70
+ "SnowballTarget.Policy.ExtrinsicReward.sum": {
71
+ "value": 1066.0,
72
+ "min": 146.0,
73
+ "max": 1339.0,
74
+ "count": 20
75
  },
76
+ "SnowballTarget.Losses.PolicyLoss.mean": {
77
+ "value": 0.050575832431004906,
78
+ "min": 0.04357562946159647,
79
+ "max": 0.05363038236730298,
80
+ "count": 20
81
  },
82
+ "SnowballTarget.Losses.PolicyLoss.sum": {
83
+ "value": 0.1517274972930147,
84
+ "min": 0.09223980586125086,
85
+ "max": 0.16089114710190894,
86
+ "count": 20
87
  },
88
+ "SnowballTarget.Losses.ValueLoss.mean": {
89
+ "value": 0.20023308986290758,
90
+ "min": 0.1301164074617828,
91
+ "max": 0.29156228821902047,
92
+ "count": 20
93
  },
94
+ "SnowballTarget.Losses.ValueLoss.sum": {
95
+ "value": 0.6006992695887228,
96
+ "min": 0.3903492223853484,
97
+ "max": 0.8746868646570614,
98
+ "count": 20
99
  },
100
+ "SnowballTarget.Policy.LearningRate.mean": {
101
+ "value": 7.348097550666666e-06,
102
+ "min": 7.348097550666666e-06,
103
+ "max": 0.00029034800321733336,
104
+ "count": 20
105
  },
106
+ "SnowballTarget.Policy.LearningRate.sum": {
107
+ "value": 2.2044292652e-05,
108
+ "min": 2.2044292652e-05,
109
+ "max": 0.0008710440096520001,
110
+ "count": 20
111
  },
112
+ "SnowballTarget.Policy.Epsilon.mean": {
113
+ "value": 0.10244933333333334,
114
+ "min": 0.10244933333333334,
115
+ "max": 0.1967826666666667,
116
+ "count": 20
117
  },
118
+ "SnowballTarget.Policy.Epsilon.sum": {
119
+ "value": 0.307348,
120
+ "min": 0.307348,
121
+ "max": 0.5903480000000001,
122
+ "count": 20
123
  },
124
+ "SnowballTarget.Policy.Beta.mean": {
125
+ "value": 0.0001322217333333333,
126
+ "min": 0.0001322217333333333,
127
+ "max": 0.004839455066666666,
128
+ "count": 20
129
  },
130
+ "SnowballTarget.Policy.Beta.sum": {
131
+ "value": 0.0003966651999999999,
132
+ "min": 0.0003966651999999999,
133
+ "max": 0.0145183652,
134
+ "count": 20
135
  },
136
+ "SnowballTarget.IsTraining.mean": {
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
137
  "value": 1.0,
138
  "min": 1.0,
139
  "max": 1.0,
140
+ "count": 20
141
  },
142
+ "SnowballTarget.IsTraining.sum": {
143
  "value": 1.0,
144
  "min": 1.0,
145
  "max": 1.0,
146
+ "count": 20
147
  }
148
  },
149
  "metadata": {
150
  "timer_format_version": "0.1.0",
151
+ "start_time_seconds": "1692626772",
152
  "python_version": "3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0]",
153
+ "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/SnowballTarget.yaml --env=./training-envs-executables/linux/SnowballTarget/SnowballTarget --run-id=SnowballTarget1 --no-graphics",
154
  "mlagents_version": "0.31.0.dev0",
155
  "mlagents_envs_version": "0.31.0.dev0",
156
  "communication_protocol_version": "1.5.0",
157
  "pytorch_version": "1.11.0+cu102",
158
  "numpy_version": "1.21.2",
159
+ "end_time_seconds": "1692627265"
160
  },
161
+ "total": 492.5137000500001,
162
  "count": 1,
163
+ "self": 0.4344578120001188,
164
  "children": {
165
  "run_training.setup": {
166
+ "total": 0.04907917900004577,
167
  "count": 1,
168
+ "self": 0.04907917900004577
169
  },
170
  "TrainerController.start_learning": {
171
+ "total": 492.03016305899996,
172
  "count": 1,
173
+ "self": 0.5566386019906986,
174
  "children": {
175
  "TrainerController._reset_env": {
176
+ "total": 4.190975722000076,
177
  "count": 1,
178
+ "self": 4.190975722000076
179
  },
180
  "TrainerController.advance": {
181
+ "total": 487.14454597300914,
182
+ "count": 18206,
183
+ "self": 0.2616028799977812,
184
  "children": {
185
  "env_step": {
186
+ "total": 486.88294309301136,
187
+ "count": 18206,
188
+ "self": 352.02959792604497,
189
  "children": {
190
  "SubprocessEnvManager._take_step": {
191
+ "total": 134.58112317298833,
192
+ "count": 18206,
193
+ "self": 1.6955244179866895,
194
  "children": {
195
  "TorchPolicy.evaluate": {
196
+ "total": 132.88559875500164,
197
+ "count": 18206,
198
+ "self": 132.88559875500164
199
  }
200
  }
201
  },
202
  "workers": {
203
+ "total": 0.27222199397806435,
204
+ "count": 18206,
205
  "self": 0.0,
206
  "children": {
207
  "worker_root": {
208
+ "total": 490.51185866499964,
209
+ "count": 18206,
210
  "is_parallel": true,
211
+ "self": 246.17297120100784,
212
  "children": {
213
  "run_training.setup": {
214
  "total": 0.0,
 
217
  "self": 0.0,
218
  "children": {
219
  "steps_from_proto": {
220
+ "total": 0.005777867999995578,
221
  "count": 1,
222
  "is_parallel": true,
223
+ "self": 0.004306941999857372,
224
  "children": {
225
  "_process_rank_one_or_two_observation": {
226
+ "total": 0.0014709260001382063,
227
+ "count": 10,
228
  "is_parallel": true,
229
+ "self": 0.0014709260001382063
230
  }
231
  }
232
  },
233
  "UnityEnvironment.step": {
234
+ "total": 0.034516521999876204,
235
  "count": 1,
236
  "is_parallel": true,
237
+ "self": 0.000570753000147306,
238
  "children": {
239
  "UnityEnvironment._generate_step_input": {
240
+ "total": 0.00035641899989968806,
241
  "count": 1,
242
  "is_parallel": true,
243
+ "self": 0.00035641899989968806
244
  },
245
  "communicator.exchange": {
246
+ "total": 0.031487217999938366,
247
  "count": 1,
248
  "is_parallel": true,
249
+ "self": 0.031487217999938366
250
  },
251
  "steps_from_proto": {
252
+ "total": 0.002102131999890844,
253
  "count": 1,
254
  "is_parallel": true,
255
+ "self": 0.0005040689998168091,
256
  "children": {
257
  "_process_rank_one_or_two_observation": {
258
+ "total": 0.0015980630000740348,
259
+ "count": 10,
260
  "is_parallel": true,
261
+ "self": 0.0015980630000740348
262
  }
263
  }
264
  }
 
267
  }
268
  },
269
  "UnityEnvironment.step": {
270
+ "total": 244.3388874639918,
271
+ "count": 18205,
272
  "is_parallel": true,
273
+ "self": 10.20632819593311,
274
  "children": {
275
  "UnityEnvironment._generate_step_input": {
276
+ "total": 5.218283486015935,
277
+ "count": 18205,
278
  "is_parallel": true,
279
+ "self": 5.218283486015935
280
  },
281
  "communicator.exchange": {
282
+ "total": 193.19381641802306,
283
+ "count": 18205,
284
  "is_parallel": true,
285
+ "self": 193.19381641802306
286
  },
287
  "steps_from_proto": {
288
+ "total": 35.72045936401969,
289
+ "count": 18205,
290
  "is_parallel": true,
291
+ "self": 6.5304092980306905,
292
  "children": {
293
  "_process_rank_one_or_two_observation": {
294
+ "total": 29.190050065989,
295
+ "count": 182050,
296
  "is_parallel": true,
297
+ "self": 29.190050065989
298
  }
299
  }
300
  }
 
305
  }
306
  }
307
  }
308
+ }
309
+ }
310
+ },
311
+ "trainer_threads": {
312
+ "total": 0.00015249800003402925,
313
+ "count": 1,
314
+ "self": 0.00015249800003402925,
315
+ "children": {
316
+ "thread_root": {
317
+ "total": 0.0,
318
+ "count": 0,
319
+ "is_parallel": true,
320
+ "self": 0.0,
321
  "children": {
322
+ "trainer_advance": {
323
+ "total": 483.19628459293676,
324
+ "count": 478851,
325
+ "is_parallel": true,
326
+ "self": 10.439729617871762,
327
  "children": {
328
+ "process_trajectory": {
329
+ "total": 267.1323726490655,
330
+ "count": 478851,
331
+ "is_parallel": true,
332
+ "self": 266.37293732206535,
333
+ "children": {
334
+ "RLTrainer._checkpoint": {
335
+ "total": 0.7594353270001193,
336
+ "count": 4,
337
+ "is_parallel": true,
338
+ "self": 0.7594353270001193
339
+ }
340
+ }
341
+ },
342
+ "_update_policy": {
343
+ "total": 205.62418232599953,
344
+ "count": 58,
345
+ "is_parallel": true,
346
+ "self": 102.88833159701016,
347
+ "children": {
348
+ "TorchPPOOptimizer.update": {
349
+ "total": 102.73585072898936,
350
+ "count": 3775,
351
+ "is_parallel": true,
352
+ "self": 102.73585072898936
353
+ }
354
+ }
355
  }
356
  }
357
  }
 
359
  }
360
  }
361
  },
 
 
 
 
 
362
  "TrainerController._save_models": {
363
+ "total": 0.13785026400000788,
364
  "count": 1,
365
+ "self": 0.0008885879999525059,
366
  "children": {
367
  "RLTrainer._checkpoint": {
368
+ "total": 0.13696167600005538,
369
  "count": 1,
370
+ "self": 0.13696167600005538
371
  }
372
  }
373
  }
run_logs/training_status.json CHANGED
@@ -1,41 +1,59 @@
1
  {
2
- "Pyramids": {
3
  "checkpoints": [
4
  {
5
- "steps": 499900,
6
- "file_path": "results/Pyramids Training/Pyramids/Pyramids-499900.onnx",
7
- "reward": 1.5280000070730846,
8
- "creation_time": 1692629020.9641464,
9
  "auxillary_file_paths": [
10
- "results/Pyramids Training/Pyramids/Pyramids-499900.pt"
11
  ]
12
  },
13
  {
14
- "steps": 999900,
15
- "file_path": "results/Pyramids Training/Pyramids/Pyramids-999900.onnx",
16
- "reward": 1.5352499671280384,
17
- "creation_time": 1692630401.1382403,
18
  "auxillary_file_paths": [
19
- "results/Pyramids Training/Pyramids/Pyramids-999900.pt"
20
  ]
21
  },
22
  {
23
- "steps": 1000028,
24
- "file_path": "results/Pyramids Training/Pyramids/Pyramids-1000028.onnx",
25
- "reward": 1.5352499671280384,
26
- "creation_time": 1692630401.3059852,
27
  "auxillary_file_paths": [
28
- "results/Pyramids Training/Pyramids/Pyramids-1000028.pt"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
29
  ]
30
  }
31
  ],
32
  "final_checkpoint": {
33
- "steps": 1000028,
34
- "file_path": "results/Pyramids Training/Pyramids.onnx",
35
- "reward": 1.5352499671280384,
36
- "creation_time": 1692630401.3059852,
37
  "auxillary_file_paths": [
38
- "results/Pyramids Training/Pyramids/Pyramids-1000028.pt"
39
  ]
40
  }
41
  },
 
1
  {
2
+ "SnowballTarget": {
3
  "checkpoints": [
4
  {
5
+ "steps": 49936,
6
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-49936.onnx",
7
+ "reward": 13.363636363636363,
8
+ "creation_time": 1692626899.0690937,
9
  "auxillary_file_paths": [
10
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-49936.pt"
11
  ]
12
  },
13
  {
14
+ "steps": 99960,
15
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-99960.onnx",
16
+ "reward": 18.818181818181817,
17
+ "creation_time": 1692627019.5574446,
18
  "auxillary_file_paths": [
19
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-99960.pt"
20
  ]
21
  },
22
  {
23
+ "steps": 149984,
24
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-149984.onnx",
25
+ "reward": 23.09090909090909,
26
+ "creation_time": 1692627141.3551958,
27
  "auxillary_file_paths": [
28
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-149984.pt"
29
+ ]
30
+ },
31
+ {
32
+ "steps": 199984,
33
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-199984.onnx",
34
+ "reward": null,
35
+ "creation_time": 1692627264.3968775,
36
+ "auxillary_file_paths": [
37
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-199984.pt"
38
+ ]
39
+ },
40
+ {
41
+ "steps": 200200,
42
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-200200.onnx",
43
+ "reward": 24.90909090909091,
44
+ "creation_time": 1692627264.5828502,
45
+ "auxillary_file_paths": [
46
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-200200.pt"
47
  ]
48
  }
49
  ],
50
  "final_checkpoint": {
51
+ "steps": 200200,
52
+ "file_path": "results/SnowballTarget1/SnowballTarget.onnx",
53
+ "reward": 24.90909090909091,
54
+ "creation_time": 1692627264.5828502,
55
  "auxillary_file_paths": [
56
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-200200.pt"
57
  ]
58
  }
59
  },