FBM commited on
Commit
2efcffe
1 Parent(s): 4f1f0c3
Huggy.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:074019ccc89b9cc09d5e65fa784b1ff55f5a5ea3b0d2397286c04dd76df82154
3
+ size 2270373
Huggy/Huggy-1499945.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8cba3c7adec9e90980e460323ce8e5b2eb451403493d36916a32a74f147946e6
3
+ size 2270373
Huggy/Huggy-1499945.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:435e7973f98962766b13ebe20de3fefb8ab5a10748d6a1cbb18065be0292c105
3
+ size 13505262
Huggy/Huggy-1999961.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f6b92545a93b2a55d91003b52abb19fcf359775d43f04a0990e97864e5d1885
3
+ size 2270373
Huggy/Huggy-1999961.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c961be23bfe9fd675bb97db3303c98b440ce1c34a9beb5831e20780680d426d5
3
+ size 13505262
Huggy/Huggy-2000005.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:074019ccc89b9cc09d5e65fa784b1ff55f5a5ea3b0d2397286c04dd76df82154
3
+ size 2270373
Huggy/Huggy-2000005.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:20014dcc0edc8b43163dc1c3e22ee72fc079298be6100c6a0e78fab0c060c296
3
+ size 13505262
Huggy/Huggy-499976.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cdc8ef3de4781e165b7fb0ae4c0c7300121cdd8365b95e910ae64b0ae3d64f05
3
+ size 2270373
Huggy/Huggy-499976.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d236b661824a798273372330b74993cbbd83acec45afa7277535c870177d08a0
3
+ size 13505262
Huggy/Huggy-999968.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7300f981b6724655531481c59670745f2bee33ed14306febe9494193079e0d16
3
+ size 2270373
Huggy/Huggy-999968.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4120781bbebd2957cf24df017e02e719f24deea37191792b4e85c4b26c218611
3
+ size 13505262
Huggy/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:20014dcc0edc8b43163dc1c3e22ee72fc079298be6100c6a0e78fab0c060c296
3
+ size 13505262
Huggy/events.out.tfevents.1671091061.4027b089492c.477.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0892227ef294cdaebf1eefb846c402ad81c727529c0fb44768cccc482b28a2a4
3
+ size 189503
README.md ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ tags:
4
+ - unity-ml-agents
5
+ - ml-agents
6
+ - deep-reinforcement-learning
7
+ - reinforcement-learning
8
+ - ML-Agents-Huggy
9
+ library_name: ml-agents
10
+ ---
11
+
12
+ # **ppo** Agent playing **Huggy**
13
+ This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
14
+
15
+ ## Usage (with ML-Agents)
16
+ The Documentation: https://github.com/huggingface/ml-agents#get-started
17
+ We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
18
+
19
+
20
+ ### Resume the training
21
+ ```
22
+ mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
23
+ ```
24
+ ### Watch your Agent play
25
+ You can watch your agent **playing directly in your browser:**.
26
+
27
+ 1. Go to https://huggingface.co/spaces/unity/ML-Agents-Huggy
28
+ 2. Step 1: Write your model_id: FBM/ppo-Huggy
29
+ 3. Step 2: Select your *.nn /*.onnx file
30
+ 4. Click on Watch the agent play 👀
31
+
config.json ADDED
@@ -0,0 +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, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "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": 5, "checkpoint_interval": 500000, "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 ADDED
@@ -0,0 +1,75 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ default_settings: null
2
+ 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
+ learning_rate_schedule: linear
14
+ beta_schedule: linear
15
+ epsilon_schedule: linear
16
+ network_settings:
17
+ normalize: true
18
+ hidden_units: 512
19
+ num_layers: 3
20
+ vis_encode_type: simple
21
+ memory: null
22
+ goal_conditioning_type: hyper
23
+ deterministic: false
24
+ reward_signals:
25
+ extrinsic:
26
+ gamma: 0.995
27
+ strength: 1.0
28
+ network_settings:
29
+ normalize: false
30
+ hidden_units: 128
31
+ num_layers: 2
32
+ vis_encode_type: simple
33
+ memory: null
34
+ goal_conditioning_type: hyper
35
+ deterministic: false
36
+ init_path: null
37
+ keep_checkpoints: 5
38
+ checkpoint_interval: 500000
39
+ max_steps: 2000000
40
+ time_horizon: 1000
41
+ summary_freq: 50000
42
+ threaded: false
43
+ self_play: null
44
+ behavioral_cloning: null
45
+ env_settings:
46
+ env_path: ./trained-envs-executables/linux/Huggy/Huggy
47
+ env_args: null
48
+ base_port: 5005
49
+ num_envs: 1
50
+ num_areas: 1
51
+ seed: -1
52
+ max_lifetime_restarts: 10
53
+ restarts_rate_limit_n: 1
54
+ restarts_rate_limit_period_s: 60
55
+ engine_settings:
56
+ width: 84
57
+ height: 84
58
+ quality_level: 5
59
+ time_scale: 20
60
+ target_frame_rate: -1
61
+ capture_frame_rate: 60
62
+ no_graphics: true
63
+ environment_parameters: null
64
+ checkpoint_settings:
65
+ run_id: Huggy
66
+ initialize_from: null
67
+ load_model: false
68
+ resume: false
69
+ force: false
70
+ train_model: false
71
+ inference: false
72
+ results_dir: results
73
+ torch_settings:
74
+ device: null
75
+ debug: false
run_logs/Player-0.log ADDED
@@ -0,0 +1,294 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mono path[0] = '/content/ml-agents/trained-envs-executables/linux/Huggy/Huggy_Data/Managed'
2
+ Mono config path = '/content/ml-agents/trained-envs-executables/linux/Huggy/Huggy_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/Huggy
7
+ Unable to load player prefs
8
+ Initialize engine version: 2021.3.14f1 (eee1884e7226)
9
+ [Subsystems] Discovering subsystems at path /content/ml-agents/trained-envs-executables/linux/Huggy/Huggy_Data/UnitySubsystems
10
+ Forcing GfxDevice: Null
11
+ GfxDevice: creating device client; threaded=0; jobified=0
12
+ NullGfxDevice:
13
+ Version: NULL 1.0 [1.0]
14
+ Renderer: Null Device
15
+ Vendor: Unity Technologies
16
+ ALSA lib confmisc.c:767:(parse_card) cannot find card '0'
17
+ ALSA lib conf.c:4528:(_snd_config_evaluate) function snd_func_card_driver returned error: No such file or directory
18
+ ALSA lib confmisc.c:392:(snd_func_concat) error evaluating strings
19
+ ALSA lib conf.c:4528:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
20
+ ALSA lib confmisc.c:1246:(snd_func_refer) error evaluating name
21
+ ALSA lib conf.c:4528:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
22
+ ALSA lib conf.c:5007:(snd_config_expand) Evaluate error: No such file or directory
23
+ ALSA lib pcm.c:2495:(snd_pcm_open_noupdate) Unknown PCM default
24
+ FMOD failed to initialize the output device.: "Error initializing output device. " (60)
25
+ Forced to initialize FMOD to to the device driver's system output rate 48000, this may impact performance and/or give inconsistent experiences compared to selected sample rate 48000
26
+ ALSA lib confmisc.c:767:(parse_card) cannot find card '0'
27
+ ALSA lib conf.c:4528:(_snd_config_evaluate) function snd_func_card_driver returned error: No such file or directory
28
+ ALSA lib confmisc.c:392:(snd_func_concat) error evaluating strings
29
+ ALSA lib conf.c:4528:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
30
+ ALSA lib confmisc.c:1246:(snd_func_refer) error evaluating name
31
+ ALSA lib conf.c:4528:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
32
+ ALSA lib conf.c:5007:(snd_config_expand) Evaluate error: No such file or directory
33
+ ALSA lib pcm.c:2495:(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 0.076 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)
41
+ ERROR: Shader Hidden/Universal Render Pipeline/Sampling shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
42
+ ERROR: Shader Hidden/Universal Render Pipeline/LutBuilderLdr shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
43
+ ERROR: Shader Hidden/Universal Render Pipeline/LutBuilderHdr shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
44
+ ERROR: Shader Hidden/Universal Render Pipeline/UberPost shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
45
+ WARNING: Shader Unsupported: 'Hidden/Universal Render Pipeline/FallbackError' - 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
+ ERROR: Shader Hidden/Universal Render Pipeline/FallbackError shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
49
+ WARNING: Shader Unsupported: 'Hidden/Universal Render Pipeline/FallbackError' - All subshaders removed
50
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
51
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
52
+ ERROR: Shader Hidden/Universal Render Pipeline/Stop NaN shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
53
+ ERROR: Shader Hidden/Universal Render Pipeline/SubpixelMorphologicalAntialiasing shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
54
+ ERROR: Shader Hidden/Universal Render Pipeline/GaussianDepthOfField shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
55
+ ERROR: Shader Hidden/Universal Render Pipeline/BokehDepthOfField shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
56
+ ERROR: Shader Hidden/Universal Render Pipeline/CameraMotionBlur shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
57
+ ERROR: Shader Hidden/Universal Render Pipeline/PaniniProjection shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
58
+ ERROR: Shader Hidden/Universal Render Pipeline/Bloom shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
59
+ ERROR: Shader Hidden/Universal Render Pipeline/FinalPost shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
60
+ WARNING: Shader Unsupported: 'Hidden/Universal Render Pipeline/StencilDeferred' - All subshaders removed
61
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
62
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
63
+ WARNING: Shader Unsupported: 'Hidden/Universal Render Pipeline/StencilDeferred' - All subshaders removed
64
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
65
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
66
+ ERROR: Shader Hidden/Universal Render Pipeline/LensFlareDataDriven shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
67
+ ERROR: Shader Hidden/Universal Render Pipeline/Scaling Setup shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
68
+ ERROR: Shader Hidden/Universal Render Pipeline/Edge Adaptive Spatial Upsampling shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
69
+ ERROR: Shader Hidden/Universal Render Pipeline/Debug/DebugReplacement shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
70
+ ERROR: Shader Hidden/kMotion/CameraMotionVectors shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
71
+ ERROR: Shader Hidden/kMotion/ObjectMotionVectors shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
72
+ ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
73
+ ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
74
+ WARNING: Shader Unsupported: 'Universal Render Pipeline/Lit' - All subshaders removed
75
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
76
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
77
+ ERROR: Shader Universal Render Pipeline/Lit 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: 0.817498 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]: 26755 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
92
+ Overflow Count 0
93
+ [ALLOC_TEMP_Loading.AsyncRead]
94
+ Initial Block Size 64.0 KB
95
+ Current Block Size 64.0 KB
96
+ Peak Allocated Bytes 160 B
97
+ Overflow Count 0
98
+ [ALLOC_TEMP_Loading.PreloadManager]
99
+ Initial Block Size 256.0 KB
100
+ Current Block Size 296.0 KB
101
+ Peak Allocated Bytes 211.5 KB
102
+ Overflow Count 4
103
+ [ALLOC_TEMP_Background Job.Worker 8]
104
+ Initial Block Size 32.0 KB
105
+ Current Block Size 32.0 KB
106
+ Peak Allocated Bytes 0 B
107
+ Overflow Count 0
108
+ [ALLOC_TEMP_Background Job.Worker 9]
109
+ Initial Block Size 32.0 KB
110
+ Current Block Size 32.0 KB
111
+ Peak Allocated Bytes 0 B
112
+ Overflow Count 0
113
+ [ALLOC_TEMP_Job.Worker 0]
114
+ Initial Block Size 256.0 KB
115
+ Current Block Size 256.0 KB
116
+ Peak Allocated Bytes 0 B
117
+ Overflow Count 0
118
+ [ALLOC_TEMP_Background Job.Worker 10]
119
+ Initial Block Size 32.0 KB
120
+ Current Block Size 32.0 KB
121
+ Peak Allocated Bytes 0 B
122
+ Overflow Count 0
123
+ [ALLOC_TEMP_Background Job.Worker 14]
124
+ Initial Block Size 32.0 KB
125
+ Current Block Size 32.0 KB
126
+ Peak Allocated Bytes 0 B
127
+ Overflow Count 0
128
+ [ALLOC_TEMP_Background Job.Worker 6]
129
+ Initial Block Size 32.0 KB
130
+ Current Block Size 32.0 KB
131
+ Peak Allocated Bytes 0 B
132
+ Overflow Count 0
133
+ [ALLOC_TEMP_Background Job.Worker 12]
134
+ Initial Block Size 32.0 KB
135
+ Current Block Size 32.0 KB
136
+ Peak Allocated Bytes 0 B
137
+ Overflow Count 0
138
+ [ALLOC_TEMP_EnlightenWorker]
139
+ Initial Block Size 64.0 KB
140
+ Current Block Size 64.0 KB
141
+ Peak Allocated Bytes 0 B
142
+ Overflow Count 0
143
+ [ALLOC_TEMP_Background Job.Worker 15]
144
+ Initial Block Size 32.0 KB
145
+ Current Block Size 32.0 KB
146
+ Peak Allocated Bytes 0 B
147
+ Overflow Count 0
148
+ [ALLOC_TEMP_Background Job.Worker 1]
149
+ Initial Block Size 32.0 KB
150
+ Current Block Size 32.0 KB
151
+ Peak Allocated Bytes 0 B
152
+ Overflow Count 0
153
+ [ALLOC_TEMP_Background Job.Worker 2]
154
+ Initial Block Size 32.0 KB
155
+ Current Block Size 32.0 KB
156
+ Peak Allocated Bytes 0 B
157
+ Overflow Count 0
158
+ [ALLOC_TEMP_Background Job.Worker 7]
159
+ Initial Block Size 32.0 KB
160
+ Current Block Size 32.0 KB
161
+ Peak Allocated Bytes 0 B
162
+ Overflow Count 0
163
+ [ALLOC_TEMP_AssetGarbageCollectorHelper]
164
+ Initial Block Size 64.0 KB
165
+ Current Block Size 64.0 KB
166
+ Peak Allocated Bytes 0 B
167
+ Overflow Count 0
168
+ [ALLOC_TEMP_Background Job.Worker 5]
169
+ Initial Block Size 32.0 KB
170
+ Current Block Size 32.0 KB
171
+ Peak Allocated Bytes 0 B
172
+ Overflow Count 0
173
+ [ALLOC_TEMP_Background Job.Worker 13]
174
+ Initial Block Size 32.0 KB
175
+ Current Block Size 32.0 KB
176
+ Peak Allocated Bytes 0 B
177
+ Overflow Count 0
178
+ [ALLOC_TEMP_Background Job.Worker 11]
179
+ Initial Block Size 32.0 KB
180
+ Current Block Size 32.0 KB
181
+ Peak Allocated Bytes 0 B
182
+ Overflow Count 0
183
+ [ALLOC_TEMP_Background Job.Worker 3]
184
+ Initial Block Size 32.0 KB
185
+ Current Block Size 32.0 KB
186
+ Peak Allocated Bytes 0 B
187
+ Overflow Count 0
188
+ [ALLOC_TEMP_Background Job.Worker 0]
189
+ Initial Block Size 32.0 KB
190
+ Current Block Size 32.0 KB
191
+ Peak Allocated Bytes 0 B
192
+ Overflow Count 0
193
+ [ALLOC_TEMP_Background Job.Worker 4]
194
+ Initial Block Size 32.0 KB
195
+ Current Block Size 32.0 KB
196
+ Peak Allocated Bytes 0 B
197
+ Overflow Count 0
198
+ [ALLOC_TEMP_BatchDeleteObjects]
199
+ Initial Block Size 64.0 KB
200
+ Current Block Size 64.0 KB
201
+ Peak Allocated Bytes 0 B
202
+ Overflow Count 0
203
+ [ALLOC_DEFAULT] Dual Thread Allocator
204
+ Peak main deferred allocation count 288
205
+ [ALLOC_BUCKET]
206
+ Large Block size 4.0 MB
207
+ Used Block count 1
208
+ Peak Allocated bytes 1.1 MB
209
+ [ALLOC_DEFAULT_MAIN]
210
+ Peak usage frame count: [16.0 MB-32.0 MB]: 26756 frames
211
+ Requested Block Size 16.0 MB
212
+ Peak Block count 1
213
+ Peak Allocated memory 23.6 MB
214
+ Peak Large allocation bytes 16.0 MB
215
+ [ALLOC_DEFAULT_THREAD]
216
+ Peak usage frame count: [2.0 MB-4.0 MB]: 26756 frames
217
+ Requested Block Size 16.0 MB
218
+ Peak Block count 1
219
+ Peak Allocated memory 2.7 MB
220
+ Peak Large allocation bytes 0 B
221
+ [ALLOC_TEMP_JOB_1_FRAME]
222
+ Initial Block Size 2.0 MB
223
+ Used Block Count 1
224
+ Overflow Count (too large) 0
225
+ Overflow Count (full) 0
226
+ [ALLOC_TEMP_JOB_2_FRAMES]
227
+ Initial Block Size 2.0 MB
228
+ Used Block Count 1
229
+ Overflow Count (too large) 0
230
+ Overflow Count (full) 0
231
+ [ALLOC_TEMP_JOB_4_FRAMES (JobTemp)]
232
+ Initial Block Size 2.0 MB
233
+ Used Block Count 2
234
+ Overflow Count (too large) 0
235
+ Overflow Count (full) 0
236
+ [ALLOC_TEMP_JOB_ASYNC (Background)]
237
+ Initial Block Size 1.0 MB
238
+ Used Block Count 3
239
+ Overflow Count (too large) 0
240
+ Overflow Count (full) 0
241
+ [ALLOC_GFX] Dual Thread Allocator
242
+ Peak main deferred allocation count 0
243
+ [ALLOC_BUCKET]
244
+ Large Block size 4.0 MB
245
+ Used Block count 1
246
+ Peak Allocated bytes 1.1 MB
247
+ [ALLOC_GFX_MAIN]
248
+ Peak usage frame count: [32.0 KB-64.0 KB]: 26755 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]: 26756 frames
255
+ Requested Block Size 16.0 MB
256
+ Peak Block count 1
257
+ Peak Allocated memory 81.8 KB
258
+ Peak Large allocation bytes 0 B
259
+ [ALLOC_CACHEOBJECTS] Dual Thread Allocator
260
+ Peak main deferred allocation count 0
261
+ [ALLOC_BUCKET]
262
+ Large Block size 4.0 MB
263
+ Used Block count 1
264
+ Peak Allocated bytes 1.1 MB
265
+ [ALLOC_CACHEOBJECTS_MAIN]
266
+ Peak usage frame count: [1.0 MB-2.0 MB]: 26755 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]: 26755 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
276
+ Peak Large allocation bytes 0 B
277
+ [ALLOC_TYPETREE] Dual Thread Allocator
278
+ Peak main deferred allocation count 0
279
+ [ALLOC_BUCKET]
280
+ Large Block size 4.0 MB
281
+ Used Block count 1
282
+ Peak Allocated bytes 1.1 MB
283
+ [ALLOC_TYPETREE_MAIN]
284
+ Peak usage frame count: [0-1.0 KB]: 26756 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]: 26756 frames
291
+ Requested Block Size 2.0 MB
292
+ Peak Block count 1
293
+ Peak Allocated memory 7.3 KB
294
+ Peak Large allocation bytes 0 B
run_logs/timers.json ADDED
@@ -0,0 +1,369 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "root",
3
+ "gauges": {
4
+ "Huggy.Policy.Entropy.mean": {
5
+ "value": 1.3999911546707153,
6
+ "min": 1.3999911546707153,
7
+ "max": 1.4254693984985352,
8
+ "count": 40
9
+ },
10
+ "Huggy.Policy.Entropy.sum": {
11
+ "value": 70832.5546875,
12
+ "min": 68701.953125,
13
+ "max": 77428.03125,
14
+ "count": 40
15
+ },
16
+ "Huggy.Environment.EpisodeLength.mean": {
17
+ "value": 68.01936376210236,
18
+ "min": 66.20295698924731,
19
+ "max": 411.24590163934425,
20
+ "count": 40
21
+ },
22
+ "Huggy.Environment.EpisodeLength.sum": {
23
+ "value": 49178.0,
24
+ "min": 49178.0,
25
+ "max": 50172.0,
26
+ "count": 40
27
+ },
28
+ "Huggy.Step.mean": {
29
+ "value": 1999961.0,
30
+ "min": 49983.0,
31
+ "max": 1999961.0,
32
+ "count": 40
33
+ },
34
+ "Huggy.Step.sum": {
35
+ "value": 1999961.0,
36
+ "min": 49983.0,
37
+ "max": 1999961.0,
38
+ "count": 40
39
+ },
40
+ "Huggy.Policy.ExtrinsicValueEstimate.mean": {
41
+ "value": 2.5342283248901367,
42
+ "min": 0.055319979786872864,
43
+ "max": 2.5440847873687744,
44
+ "count": 40
45
+ },
46
+ "Huggy.Policy.ExtrinsicValueEstimate.sum": {
47
+ "value": 1832.2470703125,
48
+ "min": 6.6937174797058105,
49
+ "max": 1836.94775390625,
50
+ "count": 40
51
+ },
52
+ "Huggy.Environment.CumulativeReward.mean": {
53
+ "value": 3.9295000326748872,
54
+ "min": 1.7680493077217054,
55
+ "max": 4.044752422152132,
56
+ "count": 40
57
+ },
58
+ "Huggy.Environment.CumulativeReward.sum": {
59
+ "value": 2841.0285236239433,
60
+ "min": 213.93396623432636,
61
+ "max": 2865.4711268544197,
62
+ "count": 40
63
+ },
64
+ "Huggy.Policy.ExtrinsicReward.mean": {
65
+ "value": 3.9295000326748872,
66
+ "min": 1.7680493077217054,
67
+ "max": 4.044752422152132,
68
+ "count": 40
69
+ },
70
+ "Huggy.Policy.ExtrinsicReward.sum": {
71
+ "value": 2841.0285236239433,
72
+ "min": 213.93396623432636,
73
+ "max": 2865.4711268544197,
74
+ "count": 40
75
+ },
76
+ "Huggy.Losses.PolicyLoss.mean": {
77
+ "value": 0.01686525253866825,
78
+ "min": 0.013672868999795659,
79
+ "max": 0.02083468255586922,
80
+ "count": 40
81
+ },
82
+ "Huggy.Losses.PolicyLoss.sum": {
83
+ "value": 0.05059575761600475,
84
+ "min": 0.027345737999591318,
85
+ "max": 0.05869958514231257,
86
+ "count": 40
87
+ },
88
+ "Huggy.Losses.ValueLoss.mean": {
89
+ "value": 0.061821760899490784,
90
+ "min": 0.023014491299788158,
91
+ "max": 0.07025906164199114,
92
+ "count": 40
93
+ },
94
+ "Huggy.Losses.ValueLoss.sum": {
95
+ "value": 0.18546528269847234,
96
+ "min": 0.046028982599576315,
97
+ "max": 0.18746341144045192,
98
+ "count": 40
99
+ },
100
+ "Huggy.Policy.LearningRate.mean": {
101
+ "value": 3.859348713583336e-06,
102
+ "min": 3.859348713583336e-06,
103
+ "max": 0.000295362976545675,
104
+ "count": 40
105
+ },
106
+ "Huggy.Policy.LearningRate.sum": {
107
+ "value": 1.1578046140750009e-05,
108
+ "min": 1.1578046140750009e-05,
109
+ "max": 0.00084402286865905,
110
+ "count": 40
111
+ },
112
+ "Huggy.Policy.Epsilon.mean": {
113
+ "value": 0.10128641666666667,
114
+ "min": 0.10128641666666667,
115
+ "max": 0.19845432500000004,
116
+ "count": 40
117
+ },
118
+ "Huggy.Policy.Epsilon.sum": {
119
+ "value": 0.30385925,
120
+ "min": 0.20770125,
121
+ "max": 0.58134095,
122
+ "count": 40
123
+ },
124
+ "Huggy.Policy.Beta.mean": {
125
+ "value": 7.419219166666672e-05,
126
+ "min": 7.419219166666672e-05,
127
+ "max": 0.004922870817499999,
128
+ "count": 40
129
+ },
130
+ "Huggy.Policy.Beta.sum": {
131
+ "value": 0.00022257657500000016,
132
+ "min": 0.00022257657500000016,
133
+ "max": 0.014068913405000001,
134
+ "count": 40
135
+ },
136
+ "Huggy.IsTraining.mean": {
137
+ "value": 1.0,
138
+ "min": 1.0,
139
+ "max": 1.0,
140
+ "count": 40
141
+ },
142
+ "Huggy.IsTraining.sum": {
143
+ "value": 1.0,
144
+ "min": 1.0,
145
+ "max": 1.0,
146
+ "count": 40
147
+ }
148
+ },
149
+ "metadata": {
150
+ "timer_format_version": "0.1.0",
151
+ "start_time_seconds": "1671091054",
152
+ "python_version": "3.8.16 (default, Dec 7 2022, 01:12:13) \n[GCC 7.5.0]",
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": "0.29.0.dev0",
155
+ "mlagents_envs_version": "0.29.0.dev0",
156
+ "communication_protocol_version": "1.5.0",
157
+ "pytorch_version": "1.8.1+cu102",
158
+ "numpy_version": "1.21.6",
159
+ "end_time_seconds": "1671093194"
160
+ },
161
+ "total": 2140.3331431879997,
162
+ "count": 1,
163
+ "self": 0.39033066399952077,
164
+ "children": {
165
+ "run_training.setup": {
166
+ "total": 0.11495345000002999,
167
+ "count": 1,
168
+ "self": 0.11495345000002999
169
+ },
170
+ "TrainerController.start_learning": {
171
+ "total": 2139.827859074,
172
+ "count": 1,
173
+ "self": 3.717056053977103,
174
+ "children": {
175
+ "TrainerController._reset_env": {
176
+ "total": 10.030463542999996,
177
+ "count": 1,
178
+ "self": 10.030463542999996
179
+ },
180
+ "TrainerController.advance": {
181
+ "total": 2125.967298165023,
182
+ "count": 233930,
183
+ "self": 3.7981505729785567,
184
+ "children": {
185
+ "env_step": {
186
+ "total": 1665.5754644479446,
187
+ "count": 233930,
188
+ "self": 1400.0357212478616,
189
+ "children": {
190
+ "SubprocessEnvManager._take_step": {
191
+ "total": 263.0007545870594,
192
+ "count": 233930,
193
+ "self": 14.140335303931806,
194
+ "children": {
195
+ "TorchPolicy.evaluate": {
196
+ "total": 248.8604192831276,
197
+ "count": 222967,
198
+ "self": 62.98576209732482,
199
+ "children": {
200
+ "TorchPolicy.sample_actions": {
201
+ "total": 185.8746571858028,
202
+ "count": 222967,
203
+ "self": 185.8746571858028
204
+ }
205
+ }
206
+ }
207
+ }
208
+ },
209
+ "workers": {
210
+ "total": 2.538988613023548,
211
+ "count": 233930,
212
+ "self": 0.0,
213
+ "children": {
214
+ "worker_root": {
215
+ "total": 2132.433781765019,
216
+ "count": 233930,
217
+ "is_parallel": true,
218
+ "self": 980.3343539520531,
219
+ "children": {
220
+ "run_training.setup": {
221
+ "total": 0.0,
222
+ "count": 0,
223
+ "is_parallel": true,
224
+ "self": 0.0,
225
+ "children": {
226
+ "steps_from_proto": {
227
+ "total": 0.0024006180001379107,
228
+ "count": 1,
229
+ "is_parallel": true,
230
+ "self": 0.0004253340000559547,
231
+ "children": {
232
+ "_process_rank_one_or_two_observation": {
233
+ "total": 0.001975284000081956,
234
+ "count": 2,
235
+ "is_parallel": true,
236
+ "self": 0.001975284000081956
237
+ }
238
+ }
239
+ },
240
+ "UnityEnvironment.step": {
241
+ "total": 0.026880347000087568,
242
+ "count": 1,
243
+ "is_parallel": true,
244
+ "self": 0.0002782000003662688,
245
+ "children": {
246
+ "UnityEnvironment._generate_step_input": {
247
+ "total": 0.00021868699991500762,
248
+ "count": 1,
249
+ "is_parallel": true,
250
+ "self": 0.00021868699991500762
251
+ },
252
+ "communicator.exchange": {
253
+ "total": 0.025694968999914636,
254
+ "count": 1,
255
+ "is_parallel": true,
256
+ "self": 0.025694968999914636
257
+ },
258
+ "steps_from_proto": {
259
+ "total": 0.0006884909998916555,
260
+ "count": 1,
261
+ "is_parallel": true,
262
+ "self": 0.000234519999821714,
263
+ "children": {
264
+ "_process_rank_one_or_two_observation": {
265
+ "total": 0.0004539710000699415,
266
+ "count": 2,
267
+ "is_parallel": true,
268
+ "self": 0.0004539710000699415
269
+ }
270
+ }
271
+ }
272
+ }
273
+ }
274
+ }
275
+ },
276
+ "UnityEnvironment.step": {
277
+ "total": 1152.0994278129658,
278
+ "count": 233929,
279
+ "is_parallel": true,
280
+ "self": 33.634095385099045,
281
+ "children": {
282
+ "UnityEnvironment._generate_step_input": {
283
+ "total": 75.61055896392463,
284
+ "count": 233929,
285
+ "is_parallel": true,
286
+ "self": 75.61055896392463
287
+ },
288
+ "communicator.exchange": {
289
+ "total": 951.6960263040248,
290
+ "count": 233929,
291
+ "is_parallel": true,
292
+ "self": 951.6960263040248
293
+ },
294
+ "steps_from_proto": {
295
+ "total": 91.15874715991731,
296
+ "count": 233929,
297
+ "is_parallel": true,
298
+ "self": 37.42035431196177,
299
+ "children": {
300
+ "_process_rank_one_or_two_observation": {
301
+ "total": 53.73839284795554,
302
+ "count": 467858,
303
+ "is_parallel": true,
304
+ "self": 53.73839284795554
305
+ }
306
+ }
307
+ }
308
+ }
309
+ }
310
+ }
311
+ }
312
+ }
313
+ }
314
+ }
315
+ },
316
+ "trainer_advance": {
317
+ "total": 456.5936831440995,
318
+ "count": 233930,
319
+ "self": 5.657198053096863,
320
+ "children": {
321
+ "process_trajectory": {
322
+ "total": 146.46940265800094,
323
+ "count": 233930,
324
+ "self": 146.0141291470013,
325
+ "children": {
326
+ "RLTrainer._checkpoint": {
327
+ "total": 0.455273510999632,
328
+ "count": 4,
329
+ "self": 0.455273510999632
330
+ }
331
+ }
332
+ },
333
+ "_update_policy": {
334
+ "total": 304.4670824330017,
335
+ "count": 97,
336
+ "self": 252.17035869798474,
337
+ "children": {
338
+ "TorchPPOOptimizer.update": {
339
+ "total": 52.29672373501694,
340
+ "count": 2910,
341
+ "self": 52.29672373501694
342
+ }
343
+ }
344
+ }
345
+ }
346
+ }
347
+ }
348
+ },
349
+ "trainer_threads": {
350
+ "total": 8.729998626222368e-07,
351
+ "count": 1,
352
+ "self": 8.729998626222368e-07
353
+ },
354
+ "TrainerController._save_models": {
355
+ "total": 0.11304043900008764,
356
+ "count": 1,
357
+ "self": 0.002006434000122681,
358
+ "children": {
359
+ "RLTrainer._checkpoint": {
360
+ "total": 0.11103400499996496,
361
+ "count": 1,
362
+ "self": 0.11103400499996496
363
+ }
364
+ }
365
+ }
366
+ }
367
+ }
368
+ }
369
+ }
run_logs/training_status.json ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "Huggy": {
3
+ "checkpoints": [
4
+ {
5
+ "steps": 499976,
6
+ "file_path": "results/Huggy/Huggy/Huggy-499976.onnx",
7
+ "reward": 3.6436043229508908,
8
+ "creation_time": 1671091583.038193,
9
+ "auxillary_file_paths": [
10
+ "results/Huggy/Huggy/Huggy-499976.pt"
11
+ ]
12
+ },
13
+ {
14
+ "steps": 999968,
15
+ "file_path": "results/Huggy/Huggy/Huggy-999968.onnx",
16
+ "reward": 4.166099015566019,
17
+ "creation_time": 1671092111.0539446,
18
+ "auxillary_file_paths": [
19
+ "results/Huggy/Huggy/Huggy-999968.pt"
20
+ ]
21
+ },
22
+ {
23
+ "steps": 1499945,
24
+ "file_path": "results/Huggy/Huggy/Huggy-1499945.onnx",
25
+ "reward": 3.9610065828953216,
26
+ "creation_time": 1671092644.4772916,
27
+ "auxillary_file_paths": [
28
+ "results/Huggy/Huggy/Huggy-1499945.pt"
29
+ ]
30
+ },
31
+ {
32
+ "steps": 1999961,
33
+ "file_path": "results/Huggy/Huggy/Huggy-1999961.onnx",
34
+ "reward": 3.844550468303539,
35
+ "creation_time": 1671093194.3574023,
36
+ "auxillary_file_paths": [
37
+ "results/Huggy/Huggy/Huggy-1999961.pt"
38
+ ]
39
+ },
40
+ {
41
+ "steps": 2000005,
42
+ "file_path": "results/Huggy/Huggy/Huggy-2000005.onnx",
43
+ "reward": 3.8240374850063787,
44
+ "creation_time": 1671093194.4730244,
45
+ "auxillary_file_paths": [
46
+ "results/Huggy/Huggy/Huggy-2000005.pt"
47
+ ]
48
+ }
49
+ ],
50
+ "final_checkpoint": {
51
+ "steps": 2000005,
52
+ "file_path": "results/Huggy/Huggy.onnx",
53
+ "reward": 3.8240374850063787,
54
+ "creation_time": 1671093194.4730244,
55
+ "auxillary_file_paths": [
56
+ "results/Huggy/Huggy/Huggy-2000005.pt"
57
+ ]
58
+ }
59
+ },
60
+ "metadata": {
61
+ "stats_format_version": "0.3.0",
62
+ "mlagents_version": "0.29.0.dev0",
63
+ "torch_version": "1.8.1+cu102"
64
+ }
65
+ }