petergriger commited on
Commit
e9fa081
1 Parent(s): c0ec326

First Push

Browse files
README.md ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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)
15
+ The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
16
+
17
+ We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
18
+ - A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
19
+ browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
20
+ - A *longer tutorial* to understand how works ML-Agents:
21
+ https://huggingface.co/learn/deep-rl-course/unit5/introduction
22
+
23
+ ### Resume the training
24
+ ```bash
25
+ mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
26
+ ```
27
+
28
+ ### Watch your Agent play
29
+ You can watch your agent **playing directly in your browser**
30
+
31
+ 1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
32
+ 2. Step 1: Find your model_id: petergriger/ppo-SnowballTarget
33
+ 3. Step 2: Select your *.nn /*.onnx file
34
+ 4. Click on Watch the agent play 👀
35
+
SnowballTarget.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2782bf695831b35a5a8d6f39661b496260633f6b2008cec14af745d923d84f4a
3
+ size 657876
SnowballTarget/SnowballTarget-100408.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2782bf695831b35a5a8d6f39661b496260633f6b2008cec14af745d923d84f4a
3
+ size 657876
SnowballTarget/SnowballTarget-100408.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cfd5fb09787496a41edc824038e5b1e373190e74d3f9ba4ee5bed82b20453236
3
+ size 3871705
SnowballTarget/SnowballTarget-49936.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9b6bc0efbdf09d2ab869c9e3048ef66313c3e7da364bf021b78aaa848f4f97d9
3
+ size 657876
SnowballTarget/SnowballTarget-49936.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:46950147dd7bbcbff35604b7bda21ad869b8a751a8b145254069a3c20aee42e5
3
+ size 3871602
SnowballTarget/SnowballTarget-99960.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:31874a5e3af8b1903231784c9a00a8d4a15428b3dcd813d9e887103505f67afa
3
+ size 657876
SnowballTarget/SnowballTarget-99960.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a3f195c30b4810837634c2ba23095cb6c562f7567d4d7d685744fc5dbb95664f
3
+ size 3871602
SnowballTarget/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b0ee8c4e00abe0ff0ecfea289faf080fc723207c83600b29ead395e3b0ab229
3
+ size 3870572
SnowballTarget/events.out.tfevents.1696859989.cccd2529b683.1955.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:23da7b317a272b2a84c0907c5a308cd323a3447df14554bc0c2845d7e47e7610
3
+ size 10545
config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"default_settings": null, "behaviors": {"SnowballTarget": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "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": 50000, "network_settings": {"normalize": true, "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": 5, "even_checkpoints": false, "max_steps": 100000, "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": true, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
configuration.yaml ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ default_settings: null
2
+ behaviors:
3
+ SnowballTarget:
4
+ trainer_type: ppo
5
+ hyperparameters:
6
+ batch_size: 128
7
+ buffer_size: 2048
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
16
+ epsilon_schedule: linear
17
+ checkpoint_interval: 50000
18
+ network_settings:
19
+ normalize: true
20
+ hidden_units: 256
21
+ num_layers: 2
22
+ vis_encode_type: simple
23
+ memory: null
24
+ goal_conditioning_type: hyper
25
+ deterministic: false
26
+ reward_signals:
27
+ extrinsic:
28
+ gamma: 0.99
29
+ strength: 1.0
30
+ network_settings:
31
+ normalize: false
32
+ hidden_units: 128
33
+ num_layers: 2
34
+ vis_encode_type: simple
35
+ memory: null
36
+ goal_conditioning_type: hyper
37
+ deterministic: false
38
+ init_path: null
39
+ keep_checkpoints: 5
40
+ even_checkpoints: false
41
+ max_steps: 100000
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
52
+ num_areas: 1
53
+ seed: -1
54
+ max_lifetime_restarts: 10
55
+ restarts_rate_limit_n: 1
56
+ restarts_rate_limit_period_s: 60
57
+ engine_settings:
58
+ width: 84
59
+ height: 84
60
+ quality_level: 5
61
+ time_scale: 20
62
+ target_frame_rate: -1
63
+ capture_frame_rate: 60
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
71
+ force: true
72
+ train_model: false
73
+ inference: false
74
+ results_dir: results
75
+ torch_settings:
76
+ device: null
77
+ debug: false
run_logs/Player-0.log ADDED
@@ -0,0 +1,260 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ Unable to load player prefs
6
+ Initialize engine version: 2021.3.14f1 (eee1884e7226)
7
+ [Subsystems] Discovering subsystems at path /content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/UnitySubsystems
8
+ Forcing GfxDevice: Null
9
+ GfxDevice: creating device client; threaded=0; jobified=0
10
+ NullGfxDevice:
11
+ Version: NULL 1.0 [1.0]
12
+ Renderer: Null Device
13
+ Vendor: Unity Technologies
14
+ ALSA lib confmisc.c:855:(parse_card) cannot find card '0'
15
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory
16
+ ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings
17
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
18
+ ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name
19
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
20
+ ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory
21
+ ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
22
+ FMOD failed to initialize the output device.: "Error initializing output device. " (60)
23
+ 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
24
+ ALSA lib confmisc.c:855:(parse_card) cannot find card '0'
25
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory
26
+ ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings
27
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
28
+ ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name
29
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
30
+ ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory
31
+ ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
32
+ FMOD failed to initialize the output device.: "Error initializing output device. " (60)
33
+ FMOD initialized on nosound output
34
+ Begin MonoManager ReloadAssembly
35
+ - Completed reload, in 0.118 seconds
36
+ ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
37
+ ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
38
+ ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
39
+ WARNING: Shader Unsupported: 'Standard' - All subshaders removed
40
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
41
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
42
+ ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
43
+ WARNING: Shader Unsupported: 'Standard' - 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
+ UnloadTime: 0.725258 ms
47
+ ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
48
+ requesting resize 84 x 84
49
+ Setting up 1 worker threads for Enlighten.
50
+ Memory Statistics:
51
+ [ALLOC_TEMP_TLS] TLS Allocator
52
+ StackAllocators :
53
+ [ALLOC_TEMP_MAIN]
54
+ Peak usage frame count: [8.0 KB-16.0 KB]: 2698 frames, [16.0 KB-32.0 KB]: 45 frames, [2.0 MB-4.0 MB]: 1 frames
55
+ Initial Block Size 4.0 MB
56
+ Current Block Size 4.0 MB
57
+ Peak Allocated Bytes 2.0 MB
58
+ Overflow Count 0
59
+ [ALLOC_TEMP_Loading.AsyncRead]
60
+ Initial Block Size 64.0 KB
61
+ Current Block Size 64.0 KB
62
+ Peak Allocated Bytes 198 B
63
+ Overflow Count 0
64
+ [ALLOC_TEMP_Loading.PreloadManager]
65
+ Initial Block Size 256.0 KB
66
+ Current Block Size 304.0 KB
67
+ Peak Allocated Bytes 228.9 KB
68
+ Overflow Count 4
69
+ [ALLOC_TEMP_Background Job.Worker 8]
70
+ Initial Block Size 32.0 KB
71
+ Current Block Size 32.0 KB
72
+ Peak Allocated Bytes 0 B
73
+ Overflow Count 0
74
+ [ALLOC_TEMP_Background Job.Worker 9]
75
+ Initial Block Size 32.0 KB
76
+ Current Block Size 32.0 KB
77
+ Peak Allocated Bytes 0 B
78
+ Overflow Count 0
79
+ [ALLOC_TEMP_Job.Worker 0]
80
+ Initial Block Size 256.0 KB
81
+ Current Block Size 256.0 KB
82
+ Peak Allocated Bytes 3.6 KB
83
+ Overflow Count 0
84
+ [ALLOC_TEMP_Background Job.Worker 10]
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 14]
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_Background Job.Worker 12]
100
+ Initial Block Size 32.0 KB
101
+ Current Block Size 32.0 KB
102
+ Peak Allocated Bytes 0 B
103
+ Overflow Count 0
104
+ [ALLOC_TEMP_EnlightenWorker]
105
+ Initial Block Size 64.0 KB
106
+ Current Block Size 64.0 KB
107
+ Peak Allocated Bytes 0 B
108
+ Overflow Count 0
109
+ [ALLOC_TEMP_Background Job.Worker 15]
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 1]
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_Background Job.Worker 2]
120
+ Initial Block Size 32.0 KB
121
+ Current Block Size 32.0 KB
122
+ Peak Allocated Bytes 0 B
123
+ Overflow Count 0
124
+ [ALLOC_TEMP_Background Job.Worker 7]
125
+ Initial Block Size 32.0 KB
126
+ Current Block Size 32.0 KB
127
+ Peak Allocated Bytes 0 B
128
+ Overflow Count 0
129
+ [ALLOC_TEMP_AssetGarbageCollectorHelper]
130
+ Initial Block Size 64.0 KB
131
+ Current Block Size 64.0 KB
132
+ Peak Allocated Bytes 0 B
133
+ Overflow Count 0
134
+ [ALLOC_TEMP_Background Job.Worker 5]
135
+ Initial Block Size 32.0 KB
136
+ Current Block Size 32.0 KB
137
+ Peak Allocated Bytes 0 B
138
+ Overflow Count 0
139
+ [ALLOC_TEMP_Background Job.Worker 13]
140
+ Initial Block Size 32.0 KB
141
+ Current Block Size 32.0 KB
142
+ Peak Allocated Bytes 0 B
143
+ Overflow Count 0
144
+ [ALLOC_TEMP_Background Job.Worker 11]
145
+ Initial Block Size 32.0 KB
146
+ Current Block Size 32.0 KB
147
+ Peak Allocated Bytes 0 B
148
+ Overflow Count 0
149
+ [ALLOC_TEMP_Background Job.Worker 3]
150
+ Initial Block Size 32.0 KB
151
+ Current Block Size 32.0 KB
152
+ Peak Allocated Bytes 0 B
153
+ Overflow Count 0
154
+ [ALLOC_TEMP_Background Job.Worker 0]
155
+ Initial Block Size 32.0 KB
156
+ Current Block Size 32.0 KB
157
+ Peak Allocated Bytes 0 B
158
+ Overflow Count 0
159
+ [ALLOC_TEMP_Background Job.Worker 4]
160
+ Initial Block Size 32.0 KB
161
+ Current Block Size 32.0 KB
162
+ Peak Allocated Bytes 0 B
163
+ Overflow Count 0
164
+ [ALLOC_TEMP_BatchDeleteObjects]
165
+ Initial Block Size 64.0 KB
166
+ Current Block Size 64.0 KB
167
+ Peak Allocated Bytes 0 B
168
+ Overflow Count 0
169
+ [ALLOC_DEFAULT] Dual Thread Allocator
170
+ Peak main deferred allocation count 41
171
+ [ALLOC_BUCKET]
172
+ Large Block size 4.0 MB
173
+ Used Block count 1
174
+ Peak Allocated bytes 1.0 MB
175
+ [ALLOC_DEFAULT_MAIN]
176
+ Peak usage frame count: [4.0 MB-8.0 MB]: 2744 frames
177
+ Requested Block Size 16.0 MB
178
+ Peak Block count 1
179
+ Peak Allocated memory 6.0 MB
180
+ Peak Large allocation bytes 0 B
181
+ [ALLOC_DEFAULT_THREAD]
182
+ Peak usage frame count: [16.0 MB-32.0 MB]: 2744 frames
183
+ Requested Block Size 16.0 MB
184
+ Peak Block count 1
185
+ Peak Allocated memory 17.8 MB
186
+ Peak Large allocation bytes 16.0 MB
187
+ [ALLOC_TEMP_JOB_1_FRAME]
188
+ Initial Block Size 2.0 MB
189
+ Used Block Count 1
190
+ Overflow Count (too large) 0
191
+ Overflow Count (full) 0
192
+ [ALLOC_TEMP_JOB_2_FRAMES]
193
+ Initial Block Size 2.0 MB
194
+ Used Block Count 1
195
+ Overflow Count (too large) 0
196
+ Overflow Count (full) 0
197
+ [ALLOC_TEMP_JOB_4_FRAMES (JobTemp)]
198
+ Initial Block Size 2.0 MB
199
+ Used Block Count 2
200
+ Overflow Count (too large) 0
201
+ Overflow Count (full) 0
202
+ [ALLOC_TEMP_JOB_ASYNC (Background)]
203
+ Initial Block Size 1.0 MB
204
+ Used Block Count 3
205
+ Overflow Count (too large) 0
206
+ Overflow Count (full) 0
207
+ [ALLOC_GFX] Dual Thread Allocator
208
+ Peak main deferred allocation count 0
209
+ [ALLOC_BUCKET]
210
+ Large Block size 4.0 MB
211
+ Used Block count 1
212
+ Peak Allocated bytes 1.0 MB
213
+ [ALLOC_GFX_MAIN]
214
+ Peak usage frame count: [32.0 KB-64.0 KB]: 2672 frames, [64.0 KB-128.0 KB]: 72 frames
215
+ Requested Block Size 16.0 MB
216
+ Peak Block count 1
217
+ Peak Allocated memory 65.6 KB
218
+ Peak Large allocation bytes 0 B
219
+ [ALLOC_GFX_THREAD]
220
+ Peak usage frame count: [32.0 KB-64.0 KB]: 2744 frames
221
+ Requested Block Size 16.0 MB
222
+ Peak Block count 1
223
+ Peak Allocated memory 39.6 KB
224
+ Peak Large allocation bytes 0 B
225
+ [ALLOC_CACHEOBJECTS] Dual Thread Allocator
226
+ Peak main deferred allocation count 0
227
+ [ALLOC_BUCKET]
228
+ Large Block size 4.0 MB
229
+ Used Block count 1
230
+ Peak Allocated bytes 1.0 MB
231
+ [ALLOC_CACHEOBJECTS_MAIN]
232
+ Peak usage frame count: [0.5 MB-1.0 MB]: 2744 frames
233
+ Requested Block Size 4.0 MB
234
+ Peak Block count 1
235
+ Peak Allocated memory 0.6 MB
236
+ Peak Large allocation bytes 0 B
237
+ [ALLOC_CACHEOBJECTS_THREAD]
238
+ Peak usage frame count: [0.5 MB-1.0 MB]: 2743 frames, [2.0 MB-4.0 MB]: 1 frames
239
+ Requested Block Size 4.0 MB
240
+ Peak Block count 1
241
+ Peak Allocated memory 2.2 MB
242
+ Peak Large allocation bytes 0 B
243
+ [ALLOC_TYPETREE] Dual Thread Allocator
244
+ Peak main deferred allocation count 0
245
+ [ALLOC_BUCKET]
246
+ Large Block size 4.0 MB
247
+ Used Block count 1
248
+ Peak Allocated bytes 1.0 MB
249
+ [ALLOC_TYPETREE_MAIN]
250
+ Peak usage frame count: [0-1.0 KB]: 2744 frames
251
+ Requested Block Size 2.0 MB
252
+ Peak Block count 1
253
+ Peak Allocated memory 1.0 KB
254
+ Peak Large allocation bytes 0 B
255
+ [ALLOC_TYPETREE_THREAD]
256
+ Peak usage frame count: [1.0 KB-2.0 KB]: 2744 frames
257
+ Requested Block Size 2.0 MB
258
+ Peak Block count 1
259
+ Peak Allocated memory 1.7 KB
260
+ Peak Large allocation bytes 0 B
run_logs/timers.json ADDED
@@ -0,0 +1,377 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "root",
3
+ "gauges": {
4
+ "SnowballTarget.Policy.Entropy.mean": {
5
+ "value": 1.647437334060669,
6
+ "min": 1.647437334060669,
7
+ "max": 2.8687901496887207,
8
+ "count": 10
9
+ },
10
+ "SnowballTarget.Policy.Entropy.sum": {
11
+ "value": 16744.552734375,
12
+ "min": 16744.552734375,
13
+ "max": 29631.734375,
14
+ "count": 10
15
+ },
16
+ "SnowballTarget.Step.mean": {
17
+ "value": 99960.0,
18
+ "min": 9952.0,
19
+ "max": 99960.0,
20
+ "count": 10
21
+ },
22
+ "SnowballTarget.Step.sum": {
23
+ "value": 99960.0,
24
+ "min": 9952.0,
25
+ "max": 99960.0,
26
+ "count": 10
27
+ },
28
+ "SnowballTarget.Policy.ExtrinsicValueEstimate.mean": {
29
+ "value": 10.379305839538574,
30
+ "min": 0.3378541171550751,
31
+ "max": 10.379305839538574,
32
+ "count": 10
33
+ },
34
+ "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": {
35
+ "value": 2117.37841796875,
36
+ "min": 65.543701171875,
37
+ "max": 2117.37841796875,
38
+ "count": 10
39
+ },
40
+ "SnowballTarget.Environment.EpisodeLength.mean": {
41
+ "value": 199.0,
42
+ "min": 199.0,
43
+ "max": 199.0,
44
+ "count": 10
45
+ },
46
+ "SnowballTarget.Environment.EpisodeLength.sum": {
47
+ "value": 8756.0,
48
+ "min": 8756.0,
49
+ "max": 10945.0,
50
+ "count": 10
51
+ },
52
+ "SnowballTarget.Losses.PolicyLoss.mean": {
53
+ "value": 0.0633542323981494,
54
+ "min": 0.06285948133879049,
55
+ "max": 0.07385737253806678,
56
+ "count": 10
57
+ },
58
+ "SnowballTarget.Losses.PolicyLoss.sum": {
59
+ "value": 0.316771161990747,
60
+ "min": 0.28705503329961085,
61
+ "max": 0.3554466355477309,
62
+ "count": 10
63
+ },
64
+ "SnowballTarget.Losses.ValueLoss.mean": {
65
+ "value": 0.29947400624845544,
66
+ "min": 0.11744403841736381,
67
+ "max": 0.3320160531530193,
68
+ "count": 10
69
+ },
70
+ "SnowballTarget.Losses.ValueLoss.sum": {
71
+ "value": 1.497370031242277,
72
+ "min": 0.46977615366945524,
73
+ "max": 1.588227703509962,
74
+ "count": 10
75
+ },
76
+ "SnowballTarget.Policy.LearningRate.mean": {
77
+ "value": 1.6464094511999996e-05,
78
+ "min": 1.6464094511999996e-05,
79
+ "max": 0.000283764005412,
80
+ "count": 10
81
+ },
82
+ "SnowballTarget.Policy.LearningRate.sum": {
83
+ "value": 8.232047255999999e-05,
84
+ "min": 8.232047255999999e-05,
85
+ "max": 0.00127032007656,
86
+ "count": 10
87
+ },
88
+ "SnowballTarget.Policy.Epsilon.mean": {
89
+ "value": 0.105488,
90
+ "min": 0.105488,
91
+ "max": 0.194588,
92
+ "count": 10
93
+ },
94
+ "SnowballTarget.Policy.Epsilon.sum": {
95
+ "value": 0.52744,
96
+ "min": 0.4615520000000001,
97
+ "max": 0.92344,
98
+ "count": 10
99
+ },
100
+ "SnowballTarget.Policy.Beta.mean": {
101
+ "value": 0.0002838512,
102
+ "min": 0.0002838512,
103
+ "max": 0.0047299412,
104
+ "count": 10
105
+ },
106
+ "SnowballTarget.Policy.Beta.sum": {
107
+ "value": 0.001419256,
108
+ "min": 0.001419256,
109
+ "max": 0.021179656,
110
+ "count": 10
111
+ },
112
+ "SnowballTarget.Environment.CumulativeReward.mean": {
113
+ "value": 22.545454545454547,
114
+ "min": 3.6136363636363638,
115
+ "max": 22.545454545454547,
116
+ "count": 10
117
+ },
118
+ "SnowballTarget.Environment.CumulativeReward.sum": {
119
+ "value": 1240.0,
120
+ "min": 159.0,
121
+ "max": 1240.0,
122
+ "count": 10
123
+ },
124
+ "SnowballTarget.Policy.ExtrinsicReward.mean": {
125
+ "value": 22.545454545454547,
126
+ "min": 3.6136363636363638,
127
+ "max": 22.545454545454547,
128
+ "count": 10
129
+ },
130
+ "SnowballTarget.Policy.ExtrinsicReward.sum": {
131
+ "value": 1240.0,
132
+ "min": 159.0,
133
+ "max": 1240.0,
134
+ "count": 10
135
+ },
136
+ "SnowballTarget.IsTraining.mean": {
137
+ "value": 1.0,
138
+ "min": 1.0,
139
+ "max": 1.0,
140
+ "count": 10
141
+ },
142
+ "SnowballTarget.IsTraining.sum": {
143
+ "value": 1.0,
144
+ "min": 1.0,
145
+ "max": 1.0,
146
+ "count": 10
147
+ }
148
+ },
149
+ "metadata": {
150
+ "timer_format_version": "0.1.0",
151
+ "start_time_seconds": "1696859989",
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 --force",
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": "2.0.1+cu118",
158
+ "numpy_version": "1.21.2",
159
+ "end_time_seconds": "1696860276"
160
+ },
161
+ "total": 287.6381181919999,
162
+ "count": 1,
163
+ "self": 0.9491813779999347,
164
+ "children": {
165
+ "run_training.setup": {
166
+ "total": 0.06668445899998687,
167
+ "count": 1,
168
+ "self": 0.06668445899998687
169
+ },
170
+ "TrainerController.start_learning": {
171
+ "total": 286.622252355,
172
+ "count": 1,
173
+ "self": 0.4150769410016437,
174
+ "children": {
175
+ "TrainerController._reset_env": {
176
+ "total": 8.785875825999995,
177
+ "count": 1,
178
+ "self": 8.785875825999995
179
+ },
180
+ "TrainerController.advance": {
181
+ "total": 277.05833789899845,
182
+ "count": 9144,
183
+ "self": 0.13210388499527426,
184
+ "children": {
185
+ "env_step": {
186
+ "total": 276.92623401400317,
187
+ "count": 9144,
188
+ "self": 200.61828974299505,
189
+ "children": {
190
+ "SubprocessEnvManager._take_step": {
191
+ "total": 76.16674180800914,
192
+ "count": 9144,
193
+ "self": 0.8582791610083973,
194
+ "children": {
195
+ "TorchPolicy.evaluate": {
196
+ "total": 75.30846264700074,
197
+ "count": 9144,
198
+ "self": 75.30846264700074
199
+ }
200
+ }
201
+ },
202
+ "workers": {
203
+ "total": 0.14120246299899009,
204
+ "count": 9144,
205
+ "self": 0.0,
206
+ "children": {
207
+ "worker_root": {
208
+ "total": 285.5417150570084,
209
+ "count": 9144,
210
+ "is_parallel": true,
211
+ "self": 170.98806547101162,
212
+ "children": {
213
+ "run_training.setup": {
214
+ "total": 0.0,
215
+ "count": 0,
216
+ "is_parallel": true,
217
+ "self": 0.0,
218
+ "children": {
219
+ "steps_from_proto": {
220
+ "total": 0.0027054189999944356,
221
+ "count": 1,
222
+ "is_parallel": true,
223
+ "self": 0.0006208039999933135,
224
+ "children": {
225
+ "_process_rank_one_or_two_observation": {
226
+ "total": 0.002084615000001122,
227
+ "count": 10,
228
+ "is_parallel": true,
229
+ "self": 0.002084615000001122
230
+ }
231
+ }
232
+ },
233
+ "UnityEnvironment.step": {
234
+ "total": 0.060909561000016765,
235
+ "count": 1,
236
+ "is_parallel": true,
237
+ "self": 0.0006264319999900181,
238
+ "children": {
239
+ "UnityEnvironment._generate_step_input": {
240
+ "total": 0.0003852550000260635,
241
+ "count": 1,
242
+ "is_parallel": true,
243
+ "self": 0.0003852550000260635
244
+ },
245
+ "communicator.exchange": {
246
+ "total": 0.058057164999979705,
247
+ "count": 1,
248
+ "is_parallel": true,
249
+ "self": 0.058057164999979705
250
+ },
251
+ "steps_from_proto": {
252
+ "total": 0.0018407090000209791,
253
+ "count": 1,
254
+ "is_parallel": true,
255
+ "self": 0.00032162200000129815,
256
+ "children": {
257
+ "_process_rank_one_or_two_observation": {
258
+ "total": 0.001519087000019681,
259
+ "count": 10,
260
+ "is_parallel": true,
261
+ "self": 0.001519087000019681
262
+ }
263
+ }
264
+ }
265
+ }
266
+ }
267
+ }
268
+ },
269
+ "UnityEnvironment.step": {
270
+ "total": 114.55364958599677,
271
+ "count": 9143,
272
+ "is_parallel": true,
273
+ "self": 5.154021494979588,
274
+ "children": {
275
+ "UnityEnvironment._generate_step_input": {
276
+ "total": 2.5039978670030223,
277
+ "count": 9143,
278
+ "is_parallel": true,
279
+ "self": 2.5039978670030223
280
+ },
281
+ "communicator.exchange": {
282
+ "total": 89.52625453500804,
283
+ "count": 9143,
284
+ "is_parallel": true,
285
+ "self": 89.52625453500804
286
+ },
287
+ "steps_from_proto": {
288
+ "total": 17.36937568900612,
289
+ "count": 9143,
290
+ "is_parallel": true,
291
+ "self": 3.041870590015378,
292
+ "children": {
293
+ "_process_rank_one_or_two_observation": {
294
+ "total": 14.327505098990741,
295
+ "count": 91430,
296
+ "is_parallel": true,
297
+ "self": 14.327505098990741
298
+ }
299
+ }
300
+ }
301
+ }
302
+ }
303
+ }
304
+ }
305
+ }
306
+ }
307
+ }
308
+ }
309
+ }
310
+ },
311
+ "trainer_threads": {
312
+ "total": 0.0004757089999429809,
313
+ "count": 1,
314
+ "self": 0.0004757089999429809,
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": 275.05070319400915,
324
+ "count": 309479,
325
+ "is_parallel": true,
326
+ "self": 5.534353307998458,
327
+ "children": {
328
+ "process_trajectory": {
329
+ "total": 146.43403217601065,
330
+ "count": 309479,
331
+ "is_parallel": true,
332
+ "self": 145.37679329501066,
333
+ "children": {
334
+ "RLTrainer._checkpoint": {
335
+ "total": 1.0572388809999893,
336
+ "count": 2,
337
+ "is_parallel": true,
338
+ "self": 1.0572388809999893
339
+ }
340
+ }
341
+ },
342
+ "_update_policy": {
343
+ "total": 123.08231771000004,
344
+ "count": 45,
345
+ "is_parallel": true,
346
+ "self": 77.36792954300404,
347
+ "children": {
348
+ "TorchPPOOptimizer.update": {
349
+ "total": 45.714388166996,
350
+ "count": 2289,
351
+ "is_parallel": true,
352
+ "self": 45.714388166996
353
+ }
354
+ }
355
+ }
356
+ }
357
+ }
358
+ }
359
+ }
360
+ }
361
+ },
362
+ "TrainerController._save_models": {
363
+ "total": 0.362485979999974,
364
+ "count": 1,
365
+ "self": 0.0011627929999349362,
366
+ "children": {
367
+ "RLTrainer._checkpoint": {
368
+ "total": 0.36132318700003907,
369
+ "count": 1,
370
+ "self": 0.36132318700003907
371
+ }
372
+ }
373
+ }
374
+ }
375
+ }
376
+ }
377
+ }
run_logs/training_status.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "SnowballTarget": {
3
+ "checkpoints": [
4
+ {
5
+ "steps": 49936,
6
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-49936.onnx",
7
+ "reward": 14.818181818181818,
8
+ "creation_time": 1696860138.127382,
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": 21.181818181818183,
17
+ "creation_time": 1696860275.190531,
18
+ "auxillary_file_paths": [
19
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-99960.pt"
20
+ ]
21
+ },
22
+ {
23
+ "steps": 100408,
24
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-100408.onnx",
25
+ "reward": 21.181818181818183,
26
+ "creation_time": 1696860275.721655,
27
+ "auxillary_file_paths": [
28
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-100408.pt"
29
+ ]
30
+ }
31
+ ],
32
+ "final_checkpoint": {
33
+ "steps": 100408,
34
+ "file_path": "results/SnowballTarget1/SnowballTarget.onnx",
35
+ "reward": 21.181818181818183,
36
+ "creation_time": 1696860275.721655,
37
+ "auxillary_file_paths": [
38
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-100408.pt"
39
+ ]
40
+ }
41
+ },
42
+ "metadata": {
43
+ "stats_format_version": "0.3.0",
44
+ "mlagents_version": "0.31.0.dev0",
45
+ "torch_version": "2.0.1+cu118"
46
+ }
47
+ }