nahiavl commited on
Commit
f6e0b61
•
1 Parent(s): d60b628
Huggy.onnx CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1ece1ee7eb6f91dbcaef8b35390fec320d80c4044ff06f847c54086708038726
3
  size 2271327
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3171982d07bb7b80125dbcb94cb89d6825cb7fd5772dfdd681f5df5afbb84a4a
3
  size 2271327
Huggy/{Huggy-48977.onnx → Huggy-199704.onnx} RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1ece1ee7eb6f91dbcaef8b35390fec320d80c4044ff06f847c54086708038726
3
  size 2271327
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:703c2e25bee935b2cf13ca32a8362f516a7ca55102d7889b896dd74548e6b8e0
3
  size 2271327
Huggy/{Huggy-48977.pt → Huggy-199704.pt} RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:707c8d255d475586a2d1f13eed314fa6db26f02aed6fdb57290b84b16d171e1e
3
  size 13503717
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5ebc10cba6d866141252d5a3f2c57a169c279fdfe79da3874d103fa8bedfbd83
3
  size 13503717
Huggy/Huggy-399436.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cdb2bc3b86bdadcb1f65d7560dfe78384f281612452b98215d52737e6b76b717
3
+ size 2271327
Huggy/Huggy-399436.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8af5a2a6b24607933c31a35a7cc50ed33d05afdfacf807293cc16ad782cada4c
3
+ size 13503717
Huggy/Huggy-599365.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:181739a4d8bbf934e8bcf02a4565e4cefcff43c4e408b8ab0e91a9d2ec768c12
3
+ size 2271327
Huggy/Huggy-599365.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c42b09d35e8036b38478f10de73f59af054fdcf42250d2a0ae13cce8697f074b
3
+ size 13503717
Huggy/Huggy-639115.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3171982d07bb7b80125dbcb94cb89d6825cb7fd5772dfdd681f5df5afbb84a4a
3
+ size 2271327
Huggy/Huggy-639115.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d2dc37e274a584cf597aaa420338c8bca7e58f9fe31ff53d5a146ac7bac4feee
3
+ size 13503717
Huggy/checkpoint.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:707c8d255d475586a2d1f13eed314fa6db26f02aed6fdb57290b84b16d171e1e
3
  size 13503717
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d2dc37e274a584cf597aaa420338c8bca7e58f9fe31ff53d5a146ac7bac4feee
3
  size 13503717
Huggy/{events.out.tfevents.1679321129.376f999cc1e3.3047.0 → events.out.tfevents.1679469957.deb6adb046ef.3186.0} RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:fd7c8b8a9a90d99db398838cf6d00166af7dfea14a443e394175cd954d107c1a
3
- size 1073
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:607f70c979545477416e7f3e9b77702f71aa66740e1a31c9c6167c274b3739ec
3
+ size 98194
config.json CHANGED
@@ -1 +1 @@
1
- {"default_settings": null, "behaviors": {"Huggy": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 2048, "buffer_size": 20480, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 200000, "network_settings": {"normalize": true, "hidden_units": 512, "num_layers": 3, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.995, "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": 15, "even_checkpoints": false, "max_steps": 2000000, "time_horizon": 1000, "summary_freq": 50000, "threaded": false, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./trained-envs-executables/linux/Huggy/Huggy", "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": "Huggy", "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": {"Huggy": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 1024, "buffer_size": 20480, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 80, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 200000, "network_settings": {"normalize": true, "hidden_units": 512, "num_layers": 3, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.995, "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": 15, "even_checkpoints": false, "max_steps": 2000000, "time_horizon": 1000, "summary_freq": 50000, "threaded": false, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./trained-envs-executables/linux/Huggy/Huggy", "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": "Huggy", "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
@@ -3,13 +3,13 @@ behaviors:
3
  Huggy:
4
  trainer_type: ppo
5
  hyperparameters:
6
- batch_size: 2048
7
  buffer_size: 20480
8
  learning_rate: 0.0003
9
  beta: 0.005
10
  epsilon: 0.2
11
  lambd: 0.95
12
- num_epoch: 3
13
  shared_critic: false
14
  learning_rate_schedule: linear
15
  beta_schedule: linear
 
3
  Huggy:
4
  trainer_type: ppo
5
  hyperparameters:
6
+ batch_size: 1024
7
  buffer_size: 20480
8
  learning_rate: 0.0003
9
  beta: 0.005
10
  epsilon: 0.2
11
  lambd: 0.95
12
+ num_epoch: 80
13
  shared_critic: false
14
  learning_rate_schedule: linear
15
  beta_schedule: linear
run_logs/Player-0.log CHANGED
@@ -34,7 +34,7 @@ ALSA lib pcm.c:2642:(snd_pcm_open_noupdate) Unknown PCM default
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 0.088 seconds
38
  ERROR: Shader Hidden/Universal Render Pipeline/Blit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
39
  ERROR: Shader Hidden/Universal Render Pipeline/CopyDepth shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
40
  ERROR: Shader Hidden/Universal Render Pipeline/ScreenSpaceShadows shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
@@ -78,14 +78,14 @@ ERROR: Shader Universal Render Pipeline/Lit shader is not supported on this GPU
78
  WARNING: Shader Unsupported: 'Universal Render Pipeline/Lit' - All subshaders removed
79
  WARNING: Shader Did you use #pragma only_renderers and omit this platform?
80
  WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
81
- UnloadTime: 0.876917 ms
82
  requesting resize 84 x 84
83
  Setting up 1 worker threads for Enlighten.
84
  Memory Statistics:
85
  [ALLOC_TEMP_TLS] TLS Allocator
86
  StackAllocators :
87
  [ALLOC_TEMP_MAIN]
88
- Peak usage frame count: [4.0 KB-8.0 KB]: 722 frames, [2.0 MB-4.0 MB]: 1 frames
89
  Initial Block Size 4.0 MB
90
  Current Block Size 4.0 MB
91
  Peak Allocated Bytes 3.6 MB
@@ -93,7 +93,7 @@ Memory Statistics:
93
  [ALLOC_TEMP_Loading.AsyncRead]
94
  Initial Block Size 64.0 KB
95
  Current Block Size 64.0 KB
96
- Peak Allocated Bytes 144 B
97
  Overflow Count 0
98
  [ALLOC_TEMP_Loading.PreloadManager]
99
  Initial Block Size 256.0 KB
@@ -201,22 +201,22 @@ Memory Statistics:
201
  Peak Allocated Bytes 0 B
202
  Overflow Count 0
203
  [ALLOC_DEFAULT] Dual Thread Allocator
204
- Peak main deferred allocation count 153
205
  [ALLOC_BUCKET]
206
  Large Block size 4.0 MB
207
  Used Block count 1
208
  Peak Allocated bytes 1.4 MB
209
  [ALLOC_DEFAULT_MAIN]
210
- Peak usage frame count: [16.0 MB-32.0 MB]: 723 frames
211
  Requested Block Size 16.0 MB
212
  Peak Block count 1
213
  Peak Allocated memory 22.1 MB
214
  Peak Large allocation bytes 16.0 MB
215
  [ALLOC_DEFAULT_THREAD]
216
- Peak usage frame count: [1.0 MB-2.0 MB]: 7 frames, [2.0 MB-4.0 MB]: 716 frames
217
  Requested Block Size 16.0 MB
218
  Peak Block count 1
219
- Peak Allocated memory 2.3 MB
220
  Peak Large allocation bytes 0 B
221
  [ALLOC_TEMP_JOB_1_FRAME]
222
  Initial Block Size 2.0 MB
@@ -245,13 +245,13 @@ Memory Statistics:
245
  Used Block count 1
246
  Peak Allocated bytes 1.4 MB
247
  [ALLOC_GFX_MAIN]
248
- Peak usage frame count: [32.0 KB-64.0 KB]: 722 frames, [64.0 KB-128.0 KB]: 1 frames
249
  Requested Block Size 16.0 MB
250
  Peak Block count 1
251
  Peak Allocated memory 65.6 KB
252
  Peak Large allocation bytes 0 B
253
  [ALLOC_GFX_THREAD]
254
- Peak usage frame count: [64.0 KB-128.0 KB]: 723 frames
255
  Requested Block Size 16.0 MB
256
  Peak Block count 1
257
  Peak Allocated memory 81.8 KB
@@ -263,13 +263,13 @@ Memory Statistics:
263
  Used Block count 1
264
  Peak Allocated bytes 1.4 MB
265
  [ALLOC_CACHEOBJECTS_MAIN]
266
- Peak usage frame count: [1.0 MB-2.0 MB]: 722 frames, [16.0 MB-32.0 MB]: 1 frames
267
  Requested Block Size 4.0 MB
268
  Peak Block count 2
269
  Peak Allocated memory 30.6 MB
270
  Peak Large allocation bytes 24.9 MB
271
  [ALLOC_CACHEOBJECTS_THREAD]
272
- Peak usage frame count: [0.5 MB-1.0 MB]: 722 frames, [2.0 MB-4.0 MB]: 1 frames
273
  Requested Block Size 4.0 MB
274
  Peak Block count 1
275
  Peak Allocated memory 2.6 MB
@@ -281,13 +281,13 @@ Memory Statistics:
281
  Used Block count 1
282
  Peak Allocated bytes 1.4 MB
283
  [ALLOC_TYPETREE_MAIN]
284
- Peak usage frame count: [0-1.0 KB]: 723 frames
285
  Requested Block Size 2.0 MB
286
  Peak Block count 1
287
  Peak Allocated memory 1.0 KB
288
  Peak Large allocation bytes 0 B
289
  [ALLOC_TYPETREE_THREAD]
290
- Peak usage frame count: [4.0 KB-8.0 KB]: 723 frames
291
  Requested Block Size 2.0 MB
292
  Peak Block count 1
293
  Peak Allocated memory 7.3 KB
 
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 0.082 seconds
38
  ERROR: Shader Hidden/Universal Render Pipeline/Blit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
39
  ERROR: Shader Hidden/Universal Render Pipeline/CopyDepth shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
40
  ERROR: Shader Hidden/Universal Render Pipeline/ScreenSpaceShadows shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
 
78
  WARNING: Shader Unsupported: 'Universal Render Pipeline/Lit' - All subshaders removed
79
  WARNING: Shader Did you use #pragma only_renderers and omit this platform?
80
  WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
81
+ UnloadTime: 0.762781 ms
82
  requesting resize 84 x 84
83
  Setting up 1 worker threads for Enlighten.
84
  Memory Statistics:
85
  [ALLOC_TEMP_TLS] TLS Allocator
86
  StackAllocators :
87
  [ALLOC_TEMP_MAIN]
88
+ Peak usage frame count: [4.0 KB-8.0 KB]: 8624 frames, [2.0 MB-4.0 MB]: 1 frames
89
  Initial Block Size 4.0 MB
90
  Current Block Size 4.0 MB
91
  Peak Allocated Bytes 3.6 MB
 
93
  [ALLOC_TEMP_Loading.AsyncRead]
94
  Initial Block Size 64.0 KB
95
  Current Block Size 64.0 KB
96
+ Peak Allocated Bytes 184 B
97
  Overflow Count 0
98
  [ALLOC_TEMP_Loading.PreloadManager]
99
  Initial Block Size 256.0 KB
 
201
  Peak Allocated Bytes 0 B
202
  Overflow Count 0
203
  [ALLOC_DEFAULT] Dual Thread Allocator
204
+ Peak main deferred allocation count 251
205
  [ALLOC_BUCKET]
206
  Large Block size 4.0 MB
207
  Used Block count 1
208
  Peak Allocated bytes 1.4 MB
209
  [ALLOC_DEFAULT_MAIN]
210
+ Peak usage frame count: [16.0 MB-32.0 MB]: 8625 frames
211
  Requested Block Size 16.0 MB
212
  Peak Block count 1
213
  Peak Allocated memory 22.1 MB
214
  Peak Large allocation bytes 16.0 MB
215
  [ALLOC_DEFAULT_THREAD]
216
+ Peak usage frame count: [2.0 MB-4.0 MB]: 8625 frames
217
  Requested Block Size 16.0 MB
218
  Peak Block count 1
219
+ Peak Allocated memory 2.5 MB
220
  Peak Large allocation bytes 0 B
221
  [ALLOC_TEMP_JOB_1_FRAME]
222
  Initial Block Size 2.0 MB
 
245
  Used Block count 1
246
  Peak Allocated bytes 1.4 MB
247
  [ALLOC_GFX_MAIN]
248
+ Peak usage frame count: [32.0 KB-64.0 KB]: 8624 frames, [64.0 KB-128.0 KB]: 1 frames
249
  Requested Block Size 16.0 MB
250
  Peak Block count 1
251
  Peak Allocated memory 65.6 KB
252
  Peak Large allocation bytes 0 B
253
  [ALLOC_GFX_THREAD]
254
+ Peak usage frame count: [64.0 KB-128.0 KB]: 8625 frames
255
  Requested Block Size 16.0 MB
256
  Peak Block count 1
257
  Peak Allocated memory 81.8 KB
 
263
  Used Block count 1
264
  Peak Allocated bytes 1.4 MB
265
  [ALLOC_CACHEOBJECTS_MAIN]
266
+ Peak usage frame count: [1.0 MB-2.0 MB]: 8624 frames, [16.0 MB-32.0 MB]: 1 frames
267
  Requested Block Size 4.0 MB
268
  Peak Block count 2
269
  Peak Allocated memory 30.6 MB
270
  Peak Large allocation bytes 24.9 MB
271
  [ALLOC_CACHEOBJECTS_THREAD]
272
+ Peak usage frame count: [0.5 MB-1.0 MB]: 8624 frames, [2.0 MB-4.0 MB]: 1 frames
273
  Requested Block Size 4.0 MB
274
  Peak Block count 1
275
  Peak Allocated memory 2.6 MB
 
281
  Used Block count 1
282
  Peak Allocated bytes 1.4 MB
283
  [ALLOC_TYPETREE_MAIN]
284
+ Peak usage frame count: [0-1.0 KB]: 8625 frames
285
  Requested Block Size 2.0 MB
286
  Peak Block count 1
287
  Peak Allocated memory 1.0 KB
288
  Peak Large allocation bytes 0 B
289
  [ALLOC_TYPETREE_THREAD]
290
+ Peak usage frame count: [4.0 KB-8.0 KB]: 8625 frames
291
  Requested Block Size 2.0 MB
292
  Peak Block count 1
293
  Peak Allocated memory 7.3 KB
run_logs/timers.json CHANGED
@@ -1,8 +1,154 @@
1
  {
2
  "name": "root",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
  "metadata": {
4
  "timer_format_version": "0.1.0",
5
- "start_time_seconds": "1679321123",
6
  "python_version": "3.9.16 (main, Dec 7 2022, 01:11:51) \n[GCC 9.4.0]",
7
  "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/Huggy.yaml --env=./trained-envs-executables/linux/Huggy/Huggy --run-id=Huggy --no-graphics",
8
  "mlagents_version": "0.31.0.dev0",
@@ -10,59 +156,59 @@
10
  "communication_protocol_version": "1.5.0",
11
  "pytorch_version": "1.11.0+cu102",
12
  "numpy_version": "1.21.2",
13
- "end_time_seconds": "1679321194"
14
  },
15
- "total": 71.24449333500002,
16
  "count": 1,
17
- "self": 0.005160171000056835,
18
  "children": {
19
  "run_training.setup": {
20
- "total": 0.11752343799992104,
21
  "count": 1,
22
- "self": 0.11752343799992104
23
  },
24
  "TrainerController.start_learning": {
25
- "total": 71.12180972600004,
26
  "count": 1,
27
- "self": 0.11807807900277112,
28
  "children": {
29
  "TrainerController._reset_env": {
30
- "total": 8.950330699999995,
31
  "count": 1,
32
- "self": 8.950330699999995
33
  },
34
  "TrainerController.advance": {
35
- "total": 61.668267910997315,
36
- "count": 6089,
37
- "self": 0.13235401698989335,
38
  "children": {
39
  "env_step": {
40
- "total": 50.77910207900368,
41
- "count": 6089,
42
- "self": 42.52928674800455,
43
  "children": {
44
  "SubprocessEnvManager._take_step": {
45
- "total": 8.176359801997478,
46
- "count": 6089,
47
- "self": 0.5993841869977814,
48
  "children": {
49
  "TorchPolicy.evaluate": {
50
- "total": 7.5769756149996965,
51
- "count": 6024,
52
- "self": 7.5769756149996965
53
  }
54
  }
55
  },
56
  "workers": {
57
- "total": 0.07345552900164876,
58
- "count": 6088,
59
  "self": 0.0,
60
  "children": {
61
  "worker_root": {
62
- "total": 70.61497936700493,
63
- "count": 6088,
64
  "is_parallel": true,
65
- "self": 36.15679609600738,
66
  "children": {
67
  "run_training.setup": {
68
  "total": 0.0,
@@ -71,48 +217,48 @@
71
  "self": 0.0,
72
  "children": {
73
  "steps_from_proto": {
74
- "total": 0.0010717320000139807,
75
  "count": 1,
76
  "is_parallel": true,
77
- "self": 0.0003343070000028092,
78
  "children": {
79
  "_process_rank_one_or_two_observation": {
80
- "total": 0.0007374250000111715,
81
  "count": 2,
82
  "is_parallel": true,
83
- "self": 0.0007374250000111715
84
  }
85
  }
86
  },
87
  "UnityEnvironment.step": {
88
- "total": 0.04455907400006254,
89
  "count": 1,
90
  "is_parallel": true,
91
- "self": 0.0003446940002049814,
92
  "children": {
93
  "UnityEnvironment._generate_step_input": {
94
- "total": 0.0002788729999565476,
95
  "count": 1,
96
  "is_parallel": true,
97
- "self": 0.0002788729999565476
98
  },
99
  "communicator.exchange": {
100
- "total": 0.04314135399999941,
101
  "count": 1,
102
  "is_parallel": true,
103
- "self": 0.04314135399999941
104
  },
105
  "steps_from_proto": {
106
- "total": 0.0007941529999015984,
107
  "count": 1,
108
  "is_parallel": true,
109
- "self": 0.0002647669997486446,
110
  "children": {
111
  "_process_rank_one_or_two_observation": {
112
- "total": 0.0005293860001529538,
113
  "count": 2,
114
  "is_parallel": true,
115
- "self": 0.0005293860001529538
116
  }
117
  }
118
  }
@@ -121,34 +267,34 @@
121
  }
122
  },
123
  "UnityEnvironment.step": {
124
- "total": 34.45818327099755,
125
- "count": 6087,
126
  "is_parallel": true,
127
- "self": 1.044178872995758,
128
  "children": {
129
  "UnityEnvironment._generate_step_input": {
130
- "total": 2.2722826149989714,
131
- "count": 6087,
132
  "is_parallel": true,
133
- "self": 2.2722826149989714
134
  },
135
  "communicator.exchange": {
136
- "total": 28.658322710999983,
137
- "count": 6087,
138
  "is_parallel": true,
139
- "self": 28.658322710999983
140
  },
141
  "steps_from_proto": {
142
- "total": 2.4833990720028396,
143
- "count": 6087,
144
  "is_parallel": true,
145
- "self": 0.9944330120011955,
146
  "children": {
147
  "_process_rank_one_or_two_observation": {
148
- "total": 1.488966060001644,
149
- "count": 12174,
150
  "is_parallel": true,
151
- "self": 1.488966060001644
152
  }
153
  }
154
  }
@@ -161,24 +307,31 @@
161
  }
162
  },
163
  "trainer_advance": {
164
- "total": 10.756811815003744,
165
- "count": 6088,
166
- "self": 0.17471891500701986,
167
  "children": {
168
  "process_trajectory": {
169
- "total": 2.4880050469968182,
170
- "count": 6088,
171
- "self": 2.4880050469968182
 
 
 
 
 
 
 
172
  },
173
  "_update_policy": {
174
- "total": 8.094087852999905,
175
- "count": 2,
176
- "self": 6.849683180999705,
177
  "children": {
178
  "TorchPPOOptimizer.update": {
179
- "total": 1.2444046720002007,
180
- "count": 60,
181
- "self": 1.2444046720002007
182
  }
183
  }
184
  }
@@ -187,19 +340,19 @@
187
  }
188
  },
189
  "trainer_threads": {
190
- "total": 1.999000005525886e-06,
191
  "count": 1,
192
- "self": 1.999000005525886e-06
193
  },
194
  "TrainerController._save_models": {
195
- "total": 0.385131036999951,
196
  "count": 1,
197
- "self": 0.002722564999999122,
198
  "children": {
199
  "RLTrainer._checkpoint": {
200
- "total": 0.38240847199995187,
201
  "count": 1,
202
- "self": 0.38240847199995187
203
  }
204
  }
205
  }
 
1
  {
2
  "name": "root",
3
+ "gauges": {
4
+ "Huggy.Policy.Entropy.mean": {
5
+ "value": -0.9997519254684448,
6
+ "min": -0.9997519254684448,
7
+ "max": 1.3444199562072754,
8
+ "count": 12
9
+ },
10
+ "Huggy.Policy.Entropy.sum": {
11
+ "value": -51449.234375,
12
+ "min": -51449.234375,
13
+ "max": 74374.65625,
14
+ "count": 12
15
+ },
16
+ "Huggy.Environment.EpisodeLength.mean": {
17
+ "value": 736.4776119402985,
18
+ "min": 291.5813953488372,
19
+ "max": 749.0,
20
+ "count": 12
21
+ },
22
+ "Huggy.Environment.EpisodeLength.sum": {
23
+ "value": 49344.0,
24
+ "min": 49344.0,
25
+ "max": 50434.0,
26
+ "count": 12
27
+ },
28
+ "Huggy.Step.mean": {
29
+ "value": 599365.0,
30
+ "min": 49816.0,
31
+ "max": 599365.0,
32
+ "count": 12
33
+ },
34
+ "Huggy.Step.sum": {
35
+ "value": 599365.0,
36
+ "min": 49816.0,
37
+ "max": 599365.0,
38
+ "count": 12
39
+ },
40
+ "Huggy.Policy.ExtrinsicValueEstimate.mean": {
41
+ "value": -0.03113461285829544,
42
+ "min": -0.03113461285829544,
43
+ "max": 0.9373863935470581,
44
+ "count": 12
45
+ },
46
+ "Huggy.Policy.ExtrinsicValueEstimate.sum": {
47
+ "value": -2.0860190391540527,
48
+ "min": -2.0860190391540527,
49
+ "max": 142.94837951660156,
50
+ "count": 12
51
+ },
52
+ "Huggy.Environment.CumulativeReward.mean": {
53
+ "value": -1.8258129038583877,
54
+ "min": -2.280529317446053,
55
+ "max": 2.8464112139718476,
56
+ "count": 12
57
+ },
58
+ "Huggy.Environment.CumulativeReward.sum": {
59
+ "value": -122.32946455851197,
60
+ "min": -155.0759935863316,
61
+ "max": 489.5827288031578,
62
+ "count": 12
63
+ },
64
+ "Huggy.Policy.ExtrinsicReward.mean": {
65
+ "value": -1.8258129038583877,
66
+ "min": -2.280529317446053,
67
+ "max": 2.8464112139718476,
68
+ "count": 12
69
+ },
70
+ "Huggy.Policy.ExtrinsicReward.sum": {
71
+ "value": -122.32946455851197,
72
+ "min": -155.0759935863316,
73
+ "max": 489.5827288031578,
74
+ "count": 12
75
+ },
76
+ "Huggy.Losses.PolicyLoss.mean": {
77
+ "value": 0.024143845412327777,
78
+ "min": 0.024143845412327777,
79
+ "max": 0.22492867085151375,
80
+ "count": 12
81
+ },
82
+ "Huggy.Losses.PolicyLoss.sum": {
83
+ "value": 0.04828769082465555,
84
+ "min": 0.04828769082465555,
85
+ "max": 0.4871628791210242,
86
+ "count": 12
87
+ },
88
+ "Huggy.Losses.ValueLoss.mean": {
89
+ "value": 0.00010986422367011528,
90
+ "min": 0.00010299552992506733,
91
+ "max": 0.010556814962110365,
92
+ "count": 12
93
+ },
94
+ "Huggy.Losses.ValueLoss.sum": {
95
+ "value": 0.00021972844734023057,
96
+ "min": 0.00020599105985013465,
97
+ "max": 0.02111362992422073,
98
+ "count": 12
99
+ },
100
+ "Huggy.Policy.LearningRate.mean": {
101
+ "value": 0.00021428867857044994,
102
+ "min": 0.00021428867857044994,
103
+ "max": 0.000295372576542475,
104
+ "count": 12
105
+ },
106
+ "Huggy.Policy.LearningRate.sum": {
107
+ "value": 0.0004285773571408999,
108
+ "min": 0.0004285773571408999,
109
+ "max": 0.0008440629186457,
110
+ "count": 12
111
+ },
112
+ "Huggy.Policy.Epsilon.mean": {
113
+ "value": 0.17142954999999999,
114
+ "min": 0.17142954999999999,
115
+ "max": 0.198457525,
116
+ "count": 12
117
+ },
118
+ "Huggy.Policy.Epsilon.sum": {
119
+ "value": 0.34285909999999997,
120
+ "min": 0.34285909999999997,
121
+ "max": 0.5813543000000001,
122
+ "count": 12
123
+ },
124
+ "Huggy.Policy.Beta.mean": {
125
+ "value": 0.003574334545000001,
126
+ "min": 0.003574334545000001,
127
+ "max": 0.0049230304975,
128
+ "count": 12
129
+ },
130
+ "Huggy.Policy.Beta.sum": {
131
+ "value": 0.007148669090000002,
132
+ "min": 0.007148669090000002,
133
+ "max": 0.01406957957,
134
+ "count": 12
135
+ },
136
+ "Huggy.IsTraining.mean": {
137
+ "value": 1.0,
138
+ "min": 1.0,
139
+ "max": 1.0,
140
+ "count": 12
141
+ },
142
+ "Huggy.IsTraining.sum": {
143
+ "value": 1.0,
144
+ "min": 1.0,
145
+ "max": 1.0,
146
+ "count": 12
147
+ }
148
+ },
149
  "metadata": {
150
  "timer_format_version": "0.1.0",
151
+ "start_time_seconds": "1679469951",
152
  "python_version": "3.9.16 (main, Dec 7 2022, 01:11:51) \n[GCC 9.4.0]",
153
  "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/Huggy.yaml --env=./trained-envs-executables/linux/Huggy/Huggy --run-id=Huggy --no-graphics",
154
  "mlagents_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": "1679473560"
160
  },
161
+ "total": 3609.1329525349997,
162
  "count": 1,
163
+ "self": 0.5558727650000037,
164
  "children": {
165
  "run_training.setup": {
166
+ "total": 0.1907406360001005,
167
  "count": 1,
168
+ "self": 0.1907406360001005
169
  },
170
  "TrainerController.start_learning": {
171
+ "total": 3608.3863391339996,
172
  "count": 1,
173
+ "self": 1.276497031926283,
174
  "children": {
175
  "TrainerController._reset_env": {
176
+ "total": 8.60012459799998,
177
  "count": 1,
178
+ "self": 8.60012459799998
179
  },
180
  "TrainerController.advance": {
181
+ "total": 3598.2700294030733,
182
+ "count": 72573,
183
+ "self": 1.4732234929861079,
184
  "children": {
185
  "env_step": {
186
+ "total": 607.735694285022,
187
+ "count": 72573,
188
+ "self": 510.3403054160889,
189
  "children": {
190
  "SubprocessEnvManager._take_step": {
191
+ "total": 96.4992278729726,
192
+ "count": 72573,
193
+ "self": 6.98783421805615,
194
  "children": {
195
  "TorchPolicy.evaluate": {
196
+ "total": 89.51139365491645,
197
+ "count": 71875,
198
+ "self": 89.51139365491645
199
  }
200
  }
201
  },
202
  "workers": {
203
+ "total": 0.8961609959604857,
204
+ "count": 72572,
205
  "self": 0.0,
206
  "children": {
207
  "worker_root": {
208
+ "total": 3605.7992072760235,
209
+ "count": 72572,
210
  "is_parallel": true,
211
+ "self": 3190.863189739011,
212
  "children": {
213
  "run_training.setup": {
214
  "total": 0.0,
 
217
  "self": 0.0,
218
  "children": {
219
  "steps_from_proto": {
220
+ "total": 0.0009796609999739303,
221
  "count": 1,
222
  "is_parallel": true,
223
+ "self": 0.00028537099990444403,
224
  "children": {
225
  "_process_rank_one_or_two_observation": {
226
+ "total": 0.0006942900000694863,
227
  "count": 2,
228
  "is_parallel": true,
229
+ "self": 0.0006942900000694863
230
  }
231
  }
232
  },
233
  "UnityEnvironment.step": {
234
+ "total": 0.03005337599995528,
235
  "count": 1,
236
  "is_parallel": true,
237
+ "self": 0.00034108799991372507,
238
  "children": {
239
  "UnityEnvironment._generate_step_input": {
240
+ "total": 0.0002267160000428703,
241
  "count": 1,
242
  "is_parallel": true,
243
+ "self": 0.0002267160000428703
244
  },
245
  "communicator.exchange": {
246
+ "total": 0.028759551999996802,
247
  "count": 1,
248
  "is_parallel": true,
249
+ "self": 0.028759551999996802
250
  },
251
  "steps_from_proto": {
252
+ "total": 0.0007260200000018813,
253
  "count": 1,
254
  "is_parallel": true,
255
+ "self": 0.00021467599992774922,
256
  "children": {
257
  "_process_rank_one_or_two_observation": {
258
+ "total": 0.0005113440000741321,
259
  "count": 2,
260
  "is_parallel": true,
261
+ "self": 0.0005113440000741321
262
  }
263
  }
264
  }
 
267
  }
268
  },
269
  "UnityEnvironment.step": {
270
+ "total": 414.9360175370126,
271
+ "count": 72571,
272
  "is_parallel": true,
273
+ "self": 12.123275139162388,
274
  "children": {
275
  "UnityEnvironment._generate_step_input": {
276
+ "total": 26.367381723899598,
277
+ "count": 72571,
278
  "is_parallel": true,
279
+ "self": 26.367381723899598
280
  },
281
  "communicator.exchange": {
282
+ "total": 347.47698185493687,
283
+ "count": 72571,
284
  "is_parallel": true,
285
+ "self": 347.47698185493687
286
  },
287
  "steps_from_proto": {
288
+ "total": 28.968378819013765,
289
+ "count": 72571,
290
  "is_parallel": true,
291
+ "self": 11.605077786976494,
292
  "children": {
293
  "_process_rank_one_or_two_observation": {
294
+ "total": 17.36330103203727,
295
+ "count": 145142,
296
  "is_parallel": true,
297
+ "self": 17.36330103203727
298
  }
299
  }
300
  }
 
307
  }
308
  },
309
  "trainer_advance": {
310
+ "total": 2989.061111625065,
311
+ "count": 72572,
312
+ "self": 2.1907922180675996,
313
  "children": {
314
  "process_trajectory": {
315
+ "total": 33.179333187996804,
316
+ "count": 72572,
317
+ "self": 32.685874117996605,
318
+ "children": {
319
+ "RLTrainer._checkpoint": {
320
+ "total": 0.49345907000019906,
321
+ "count": 3,
322
+ "self": 0.49345907000019906
323
+ }
324
+ }
325
  },
326
  "_update_policy": {
327
+ "total": 2953.690986219001,
328
+ "count": 30,
329
+ "self": 2378.3034116300378,
330
  "children": {
331
  "TorchPPOOptimizer.update": {
332
+ "total": 575.387574588963,
333
+ "count": 48000,
334
+ "self": 575.387574588963
335
  }
336
  }
337
  }
 
340
  }
341
  },
342
  "trainer_threads": {
343
+ "total": 1.4380002539837733e-06,
344
  "count": 1,
345
+ "self": 1.4380002539837733e-06
346
  },
347
  "TrainerController._save_models": {
348
+ "total": 0.2396866629997021,
349
  "count": 1,
350
+ "self": 0.004467471999305417,
351
  "children": {
352
  "RLTrainer._checkpoint": {
353
+ "total": 0.23521919100039668,
354
  "count": 1,
355
+ "self": 0.23521919100039668
356
  }
357
  }
358
  }
run_logs/training_status.json CHANGED
@@ -2,22 +2,49 @@
2
  "Huggy": {
3
  "checkpoints": [
4
  {
5
- "steps": 48977,
6
- "file_path": "results/Huggy/Huggy/Huggy-48977.onnx",
7
- "reward": 2.0897797213660345,
8
- "creation_time": 1679321194.6292207,
9
  "auxillary_file_paths": [
10
- "results/Huggy/Huggy/Huggy-48977.pt"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
11
  ]
12
  }
13
  ],
14
  "final_checkpoint": {
15
- "steps": 48977,
16
  "file_path": "results/Huggy/Huggy.onnx",
17
- "reward": 2.0897797213660345,
18
- "creation_time": 1679321194.6292207,
19
  "auxillary_file_paths": [
20
- "results/Huggy/Huggy/Huggy-48977.pt"
21
  ]
22
  }
23
  },
 
2
  "Huggy": {
3
  "checkpoints": [
4
  {
5
+ "steps": 199704,
6
+ "file_path": "results/Huggy/Huggy/Huggy-199704.onnx",
7
+ "reward": 3.0943431153893473,
8
+ "creation_time": 1679471044.4947164,
9
  "auxillary_file_paths": [
10
+ "results/Huggy/Huggy/Huggy-199704.pt"
11
+ ]
12
+ },
13
+ {
14
+ "steps": 399436,
15
+ "file_path": "results/Huggy/Huggy/Huggy-399436.onnx",
16
+ "reward": -2.1291646994650364,
17
+ "creation_time": 1679472230.6567485,
18
+ "auxillary_file_paths": [
19
+ "results/Huggy/Huggy/Huggy-399436.pt"
20
+ ]
21
+ },
22
+ {
23
+ "steps": 599365,
24
+ "file_path": "results/Huggy/Huggy/Huggy-599365.onnx",
25
+ "reward": -2.1034353372330465,
26
+ "creation_time": 1679473319.8183784,
27
+ "auxillary_file_paths": [
28
+ "results/Huggy/Huggy/Huggy-599365.pt"
29
+ ]
30
+ },
31
+ {
32
+ "steps": 639115,
33
+ "file_path": "results/Huggy/Huggy/Huggy-639115.onnx",
34
+ "reward": -3.980861658602953,
35
+ "creation_time": 1679473559.8596787,
36
+ "auxillary_file_paths": [
37
+ "results/Huggy/Huggy/Huggy-639115.pt"
38
  ]
39
  }
40
  ],
41
  "final_checkpoint": {
42
+ "steps": 639115,
43
  "file_path": "results/Huggy/Huggy.onnx",
44
+ "reward": -3.980861658602953,
45
+ "creation_time": 1679473559.8596787,
46
  "auxillary_file_paths": [
47
+ "results/Huggy/Huggy/Huggy-639115.pt"
48
  ]
49
  }
50
  },