Chris1 commited on
Commit
fbca4dd
1 Parent(s): ccd11d7

First Pyramids

Browse files
Pyramids.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ce5595e24fee2147c298b999e077922c5fe5435e17978574f4fac5014bf25c2e
3
+ size 1417437
Pyramids/Pyramids-1000121.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ce5595e24fee2147c298b999e077922c5fe5435e17978574f4fac5014bf25c2e
3
+ size 1417437
Pyramids/Pyramids-1000121.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ef6c209884bc75eac9afd00fd6e001602c8c68ca0f63a28d2403335c7dedcf2
3
+ size 8652344
Pyramids/Pyramids-499887.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:967b393d1c2c5859afcaf5a268ebef3708db7f3914ab765ae53065b8d624a830
3
+ size 1417437
Pyramids/Pyramids-499887.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7d8541647357e277bf22e3659d436b97206d5fee98a36ccd84021d0c5418da7e
3
+ size 8652344
Pyramids/Pyramids-999993.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ce5595e24fee2147c298b999e077922c5fe5435e17978574f4fac5014bf25c2e
3
+ size 1417437
Pyramids/Pyramids-999993.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b59e23b29c1039bcb74f2668f3c8278e6fd3cf15e17e176b357802efbb2eb6e
3
+ size 8652344
Pyramids/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ef6c209884bc75eac9afd00fd6e001602c8c68ca0f63a28d2403335c7dedcf2
3
+ size 8652344
Pyramids/events.out.tfevents.1658487033.xrh1.31518.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ef47ded215b0b9c8706b5cf4da61ae64afd4c2133edf9e402161904889cefda5
3
+ size 333058
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-Pyramids
9
+ library_name: ml-agents
10
+ ---
11
+
12
+ # **ppo** Agent playing **Pyramids**
13
+ This is a trained model of a **ppo** agent playing **Pyramids** 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-Pyramids
28
+ 2. Step 1: Write your model_id: Chris1/testpyramidsrnd
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": {"Pyramids": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0003, "beta": 0.01, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "network_settings": {"normalize": false, "hidden_units": 512, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}, "rnd": {"gamma": 0.99, "strength": 0.01, "network_settings": {"normalize": false, "hidden_units": 64, "num_layers": 3, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "learning_rate": 0.0001, "encoding_size": null}}, "init_path": null, "keep_checkpoints": 5, "checkpoint_interval": 500000, "max_steps": 1000000, "time_horizon": 128, "summary_freq": 30000, "threaded": false, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./trained-envs-executables/linux/Pyramids/Pyramids", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true}, "environment_parameters": null, "checkpoint_settings": {"run_id": "Pyramids Training", "initialize_from": null, "load_model": false, "resume": false, "force": true, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
configuration.yaml ADDED
@@ -0,0 +1,88 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ default_settings: null
2
+ behaviors:
3
+ Pyramids:
4
+ trainer_type: ppo
5
+ hyperparameters:
6
+ batch_size: 128
7
+ buffer_size: 2048
8
+ learning_rate: 0.0003
9
+ beta: 0.01
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: false
18
+ hidden_units: 512
19
+ num_layers: 2
20
+ vis_encode_type: simple
21
+ memory: null
22
+ goal_conditioning_type: hyper
23
+ deterministic: false
24
+ reward_signals:
25
+ extrinsic:
26
+ gamma: 0.99
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
+ rnd:
37
+ gamma: 0.99
38
+ strength: 0.01
39
+ network_settings:
40
+ normalize: false
41
+ hidden_units: 64
42
+ num_layers: 3
43
+ vis_encode_type: simple
44
+ memory: null
45
+ goal_conditioning_type: hyper
46
+ deterministic: false
47
+ learning_rate: 0.0001
48
+ encoding_size: null
49
+ init_path: null
50
+ keep_checkpoints: 5
51
+ checkpoint_interval: 500000
52
+ max_steps: 1000000
53
+ time_horizon: 128
54
+ summary_freq: 30000
55
+ threaded: false
56
+ self_play: null
57
+ behavioral_cloning: null
58
+ env_settings:
59
+ env_path: ./trained-envs-executables/linux/Pyramids/Pyramids
60
+ env_args: null
61
+ base_port: 5005
62
+ num_envs: 1
63
+ num_areas: 1
64
+ seed: -1
65
+ max_lifetime_restarts: 10
66
+ restarts_rate_limit_n: 1
67
+ restarts_rate_limit_period_s: 60
68
+ engine_settings:
69
+ width: 84
70
+ height: 84
71
+ quality_level: 5
72
+ time_scale: 20
73
+ target_frame_rate: -1
74
+ capture_frame_rate: 60
75
+ no_graphics: true
76
+ environment_parameters: null
77
+ checkpoint_settings:
78
+ run_id: Pyramids Training
79
+ initialize_from: null
80
+ load_model: false
81
+ resume: false
82
+ force: true
83
+ train_model: false
84
+ inference: false
85
+ results_dir: results
86
+ torch_settings:
87
+ device: null
88
+ debug: false
run_logs/Player-0.log ADDED
@@ -0,0 +1,447 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mono path[0] = '/home/xrh1/experiments/hf_deep_rl_course/unit4/ml-agents/trained-envs-executables/linux/Pyramids/Pyramids_Data/Managed'
2
+ Mono config path = '/home/xrh1/experiments/hf_deep_rl_course/unit4/ml-agents/trained-envs-executables/linux/Pyramids/Pyramids_Data/MonoBleedingEdge/etc'
3
+ Found 2 interfaces on host : 0) 192.168.1.4 1) 172.17.0.1
4
+ Multi-casting "[IP] 192.168.1.4 [Port] 55412 [Flags] 2 [Guid] 3425980647 [EditorId] 764847374 [Version] 1048832 [Id] LinuxPlayer(13,192.168.1.4) [Debug] 0 [PackageName] LinuxPlayer [ProjectName] UnityEnvironment" to [225.0.0.222:54997]...
5
+ Preloaded 'lib_burst_generated.so'
6
+ Preloaded 'libgrpc_csharp_ext.x64.so'
7
+ PlayerPrefs - Creating folder: /home/xrh1/.config/unity3d/Unity Technologies
8
+ PlayerPrefs - Creating folder: /home/xrh1/.config/unity3d/Unity Technologies/UnityEnvironment
9
+ Unable to load player prefs
10
+ Initialize engine version: 2021.3.5f1 (40eb3a945986)
11
+ [Subsystems] Discovering subsystems at path /home/xrh1/experiments/hf_deep_rl_course/unit4/ml-agents/trained-envs-executables/linux/Pyramids/Pyramids_Data/UnitySubsystems
12
+ Forcing GfxDevice: Null
13
+ GfxDevice: creating device client; threaded=0; jobified=0
14
+ NullGfxDevice:
15
+ Version: NULL 1.0 [1.0]
16
+ Renderer: Null Device
17
+ Vendor: Unity Technologies
18
+ Begin MonoManager ReloadAssembly
19
+ - Completed reload, in 0.049 seconds
20
+ ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
21
+ ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
22
+ ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
23
+ WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
24
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
25
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
26
+ ERROR: Shader Autodesk Interactive shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
27
+ WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
28
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
29
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
30
+ WARNING: Shader Unsupported: 'Legacy Shaders/Diffuse' - All subshaders removed
31
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
32
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
33
+ ERROR: Shader Legacy Shaders/Diffuse shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
34
+ WARNING: Shader Unsupported: 'Legacy Shaders/Diffuse' - All subshaders removed
35
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
36
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
37
+ WARNING: Shader Unsupported: 'ML-Agents/GridPattern' - All subshaders removed
38
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
39
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
40
+ ERROR: Shader ML-Agents/GridPattern shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
41
+ WARNING: Shader Unsupported: 'ML-Agents/GridPattern' - All subshaders removed
42
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
43
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
44
+ WARNING: Shader Unsupported: 'Standard' - All subshaders removed
45
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
46
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
47
+ ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
48
+ WARNING: Shader Unsupported: 'Standard' - All subshaders removed
49
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
50
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
51
+ UnloadTime: 0.674330 ms
52
+ ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
53
+ requesting resize 84 x 84
54
+ Setting up 16 worker threads for Enlighten.
55
+ PlayerConnection::CleanupMemory Statistics:
56
+ [ALLOC_TEMP_TLS] TLS Allocator
57
+ StackAllocators :
58
+ [ALLOC_TEMP_MAIN]
59
+ Peak usage frame count: [16.0 KB-32.0 KB]: 4315 frames, [32.0 KB-64.0 KB]: 11998 frames, [64.0 KB-128.0 KB]: 2458 frames, [2.0 MB-4.0 MB]: 1 frames
60
+ Initial Block Size 4.0 MB
61
+ Current Block Size 4.0 MB
62
+ Peak Allocated Bytes 2.0 MB
63
+ Overflow Count 0
64
+ [ALLOC_TEMP_Job.Worker 18]
65
+ Initial Block Size 256.0 KB
66
+ Current Block Size 256.0 KB
67
+ Peak Allocated Bytes 0 B
68
+ Overflow Count 0
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_Job.Worker 4]
75
+ Initial Block Size 256.0 KB
76
+ Current Block Size 256.0 KB
77
+ Peak Allocated Bytes 0 B
78
+ Overflow Count 0
79
+ [ALLOC_TEMP_Job.Worker 27]
80
+ Initial Block Size 256.0 KB
81
+ Current Block Size 256.0 KB
82
+ Peak Allocated Bytes 0 B
83
+ Overflow Count 0
84
+ [ALLOC_TEMP_Background Job.Worker 11]
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 3]
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_BatchDeleteObjects]
95
+ Initial Block Size 64.0 KB
96
+ Current Block Size 64.0 KB
97
+ Peak Allocated Bytes 0 B
98
+ Overflow Count 0
99
+ [ALLOC_TEMP_Job.Worker 21]
100
+ Initial Block Size 256.0 KB
101
+ Current Block Size 256.0 KB
102
+ Peak Allocated Bytes 0 B
103
+ Overflow Count 0
104
+ [ALLOC_TEMP_Job.Worker 25]
105
+ Initial Block Size 256.0 KB
106
+ Current Block Size 256.0 KB
107
+ Peak Allocated Bytes 0 B
108
+ Overflow Count 0
109
+ [ALLOC_TEMP_Job.Worker 13]
110
+ Initial Block Size 256.0 KB
111
+ Current Block Size 256.0 KB
112
+ Peak Allocated Bytes 0 B
113
+ Overflow Count 0
114
+ [ALLOC_TEMP_Background Job.Worker 2]
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_Job.Worker 22]
120
+ Initial Block Size 256.0 KB
121
+ Current Block Size 256.0 KB
122
+ Peak Allocated Bytes 0 B
123
+ Overflow Count 0
124
+ [ALLOC_TEMP_Job.Worker 10]
125
+ Initial Block Size 256.0 KB
126
+ Current Block Size 256.0 KB
127
+ Peak Allocated Bytes 0 B
128
+ Overflow Count 0
129
+ [ALLOC_TEMP_Job.Worker 15]
130
+ Initial Block Size 256.0 KB
131
+ Current Block Size 256.0 KB
132
+ Peak Allocated Bytes 0 B
133
+ Overflow Count 0
134
+ [ALLOC_TEMP_Job.Worker 12]
135
+ Initial Block Size 256.0 KB
136
+ Current Block Size 256.0 KB
137
+ Peak Allocated Bytes 0 B
138
+ Overflow Count 0
139
+ [ALLOC_TEMP_Loading.PreloadManager]
140
+ Initial Block Size 256.0 KB
141
+ Current Block Size 320.0 KB
142
+ Peak Allocated Bytes 251.6 KB
143
+ Overflow Count 4
144
+ [ALLOC_TEMP_AUDIO_FMOD PulseAudio Mixer]
145
+ Initial Block Size 64.0 KB
146
+ Current Block Size 64.0 KB
147
+ Peak Allocated Bytes 0 B
148
+ Overflow Count 0
149
+ [ALLOC_TEMP_Job.Worker 17]
150
+ Initial Block Size 256.0 KB
151
+ Current Block Size 256.0 KB
152
+ Peak Allocated Bytes 0 B
153
+ Overflow Count 0
154
+ [ALLOC_TEMP_Job.Worker 3]
155
+ Initial Block Size 256.0 KB
156
+ Current Block Size 256.0 KB
157
+ Peak Allocated Bytes 0 B
158
+ Overflow Count 0
159
+ [ALLOC_TEMP_Profiler.Dispatcher]
160
+ Initial Block Size 64.0 KB
161
+ Current Block Size 64.0 KB
162
+ Peak Allocated Bytes 3.8 KB
163
+ Overflow Count 0
164
+ [ALLOC_TEMP_Job.Worker 14]
165
+ Initial Block Size 256.0 KB
166
+ Current Block Size 256.0 KB
167
+ Peak Allocated Bytes 0 B
168
+ Overflow Count 0
169
+ [ALLOC_TEMP_Background Job.Worker 5]
170
+ Initial Block Size 32.0 KB
171
+ Current Block Size 32.0 KB
172
+ Peak Allocated Bytes 0 B
173
+ Overflow Count 0
174
+ [ALLOC_TEMP_Background Job.Worker 13]
175
+ Initial Block Size 32.0 KB
176
+ Current Block Size 32.0 KB
177
+ Peak Allocated Bytes 0 B
178
+ Overflow Count 0
179
+ [ALLOC_TEMP_Job.Worker 2]
180
+ Initial Block Size 256.0 KB
181
+ Current Block Size 256.0 KB
182
+ Peak Allocated Bytes 0 B
183
+ Overflow Count 0
184
+ [ALLOC_TEMP_Job.Worker 11]
185
+ Initial Block Size 256.0 KB
186
+ Current Block Size 256.0 KB
187
+ Peak Allocated Bytes 0 B
188
+ Overflow Count 0
189
+ [ALLOC_TEMP_Job.Worker 6]
190
+ Initial Block Size 256.0 KB
191
+ Current Block Size 256.0 KB
192
+ Peak Allocated Bytes 0 B
193
+ Overflow Count 0
194
+ [ALLOC_TEMP_Job.Worker 5]
195
+ Initial Block Size 256.0 KB
196
+ Current Block Size 256.0 KB
197
+ Peak Allocated Bytes 0 B
198
+ Overflow Count 0
199
+ [ALLOC_TEMP_Job.Worker 0]
200
+ Initial Block Size 256.0 KB
201
+ Current Block Size 256.0 KB
202
+ Peak Allocated Bytes 0 B
203
+ Overflow Count 0
204
+ [ALLOC_TEMP_EnlightenWorker] x 16
205
+ Initial Block Size 64.0 KB
206
+ Current Block Size 64.0 KB
207
+ Peak Allocated Bytes 0 B
208
+ Overflow Count 0
209
+ [ALLOC_TEMP_Job.Worker 9]
210
+ Initial Block Size 256.0 KB
211
+ Current Block Size 256.0 KB
212
+ Peak Allocated Bytes 0 B
213
+ Overflow Count 0
214
+ [ALLOC_TEMP_Background Job.Worker 9]
215
+ Initial Block Size 32.0 KB
216
+ Current Block Size 32.0 KB
217
+ Peak Allocated Bytes 0 B
218
+ Overflow Count 0
219
+ [ALLOC_TEMP_Loading.AsyncRead]
220
+ Initial Block Size 64.0 KB
221
+ Current Block Size 64.0 KB
222
+ Peak Allocated Bytes 137 B
223
+ Overflow Count 0
224
+ [ALLOC_TEMP_Background Job.Worker 10]
225
+ Initial Block Size 32.0 KB
226
+ Current Block Size 32.0 KB
227
+ Peak Allocated Bytes 0 B
228
+ Overflow Count 0
229
+ [ALLOC_TEMP_Job.Worker 16]
230
+ Initial Block Size 256.0 KB
231
+ Current Block Size 256.0 KB
232
+ Peak Allocated Bytes 0 B
233
+ Overflow Count 0
234
+ [ALLOC_TEMP_Background Job.Worker 6]
235
+ Initial Block Size 32.0 KB
236
+ Current Block Size 32.0 KB
237
+ Peak Allocated Bytes 0 B
238
+ Overflow Count 0
239
+ [ALLOC_TEMP_Background Job.Worker 1]
240
+ Initial Block Size 32.0 KB
241
+ Current Block Size 32.0 KB
242
+ Peak Allocated Bytes 0 B
243
+ Overflow Count 0
244
+ [ALLOC_TEMP_Job.Worker 20]
245
+ Initial Block Size 256.0 KB
246
+ Current Block Size 256.0 KB
247
+ Peak Allocated Bytes 0 B
248
+ Overflow Count 0
249
+ [ALLOC_TEMP_AUDIO_FMOD stream thread]
250
+ Initial Block Size 64.0 KB
251
+ Current Block Size 64.0 KB
252
+ Peak Allocated Bytes 0 B
253
+ Overflow Count 0
254
+ [ALLOC_TEMP_Job.Worker 30]
255
+ Initial Block Size 256.0 KB
256
+ Current Block Size 256.0 KB
257
+ Peak Allocated Bytes 0 B
258
+ Overflow Count 0
259
+ [ALLOC_TEMP_Job.Worker 26]
260
+ Initial Block Size 256.0 KB
261
+ Current Block Size 256.0 KB
262
+ Peak Allocated Bytes 0 B
263
+ Overflow Count 0
264
+ [ALLOC_TEMP_Job.Worker 29]
265
+ Initial Block Size 256.0 KB
266
+ Current Block Size 256.0 KB
267
+ Peak Allocated Bytes 0 B
268
+ Overflow Count 0
269
+ [ALLOC_TEMP_Background Job.Worker 15]
270
+ Initial Block Size 32.0 KB
271
+ Current Block Size 32.0 KB
272
+ Peak Allocated Bytes 0 B
273
+ Overflow Count 0
274
+ [ALLOC_TEMP_Background Job.Worker 7]
275
+ Initial Block Size 32.0 KB
276
+ Current Block Size 32.0 KB
277
+ Peak Allocated Bytes 0 B
278
+ Overflow Count 0
279
+ [ALLOC_TEMP_Job.Worker 8]
280
+ Initial Block Size 256.0 KB
281
+ Current Block Size 256.0 KB
282
+ Peak Allocated Bytes 0 B
283
+ Overflow Count 0
284
+ [ALLOC_TEMP_Job.Worker 23]
285
+ Initial Block Size 256.0 KB
286
+ Current Block Size 256.0 KB
287
+ Peak Allocated Bytes 0.8 KB
288
+ Overflow Count 0
289
+ [ALLOC_TEMP_Job.Worker 1]
290
+ Initial Block Size 256.0 KB
291
+ Current Block Size 256.0 KB
292
+ Peak Allocated Bytes 0 B
293
+ Overflow Count 0
294
+ [ALLOC_TEMP_Job.Worker 24]
295
+ Initial Block Size 256.0 KB
296
+ Current Block Size 256.0 KB
297
+ Peak Allocated Bytes 0 B
298
+ Overflow Count 0
299
+ [ALLOC_TEMP_Background Job.Worker 12]
300
+ Initial Block Size 32.0 KB
301
+ Current Block Size 32.0 KB
302
+ Peak Allocated Bytes 0 B
303
+ Overflow Count 0
304
+ [ALLOC_TEMP_AssetGarbageCollectorHelper] x 31
305
+ Initial Block Size 64.0 KB
306
+ Current Block Size 64.0 KB
307
+ Peak Allocated Bytes 0 B
308
+ Overflow Count 0
309
+ [ALLOC_TEMP_Background Job.Worker 0]
310
+ Initial Block Size 32.0 KB
311
+ Current Block Size 32.0 KB
312
+ Peak Allocated Bytes 0 B
313
+ Overflow Count 0
314
+ [ALLOC_TEMP_Background Job.Worker 4]
315
+ Initial Block Size 32.0 KB
316
+ Current Block Size 32.0 KB
317
+ Peak Allocated Bytes 0 B
318
+ Overflow Count 0
319
+ [ALLOC_TEMP_Background Job.Worker 14]
320
+ Initial Block Size 32.0 KB
321
+ Current Block Size 32.0 KB
322
+ Peak Allocated Bytes 0 B
323
+ Overflow Count 0
324
+ [ALLOC_TEMP_Job.Worker 28]
325
+ Initial Block Size 256.0 KB
326
+ Current Block Size 256.0 KB
327
+ Peak Allocated Bytes 0 B
328
+ Overflow Count 0
329
+ [ALLOC_TEMP_Job.Worker 7]
330
+ Initial Block Size 256.0 KB
331
+ Current Block Size 256.0 KB
332
+ Peak Allocated Bytes 0 B
333
+ Overflow Count 0
334
+ [ALLOC_TEMP_Job.Worker 19]
335
+ Initial Block Size 256.0 KB
336
+ Current Block Size 256.0 KB
337
+ Peak Allocated Bytes 0 B
338
+ Overflow Count 0
339
+ [ALLOC_MEMORYPROFILER]
340
+ Peak usage frame count: [0.5 MB-1.0 MB]: 299 frames, [1.0 MB-2.0 MB]: 18473 frames
341
+ Requested Block Size 1.0 MB
342
+ Peak Block count 2
343
+ Peak Allocated memory 1.6 MB
344
+ Peak Large allocation bytes 0 B
345
+ [ALLOC_DEFAULT] Dual Thread Allocator
346
+ Peak main deferred allocation count 11855
347
+ [ALLOC_BUCKET]
348
+ Large Block size 4.0 MB
349
+ Used Block count 1
350
+ Peak Allocated bytes 1.7 MB
351
+ [ALLOC_DEFAULT_MAIN]
352
+ Peak usage frame count: [8.0 MB-16.0 MB]: 1 frames, [16.0 MB-32.0 MB]: 18771 frames
353
+ Requested Block Size 16.0 MB
354
+ Peak Block count 3
355
+ Peak Allocated memory 29.7 MB
356
+ Peak Large allocation bytes 0 B
357
+ [ALLOC_DEFAULT_THREAD]
358
+ Peak usage frame count: [16.0 MB-32.0 MB]: 5119 frames, [32.0 MB-64.0 MB]: 13653 frames
359
+ Requested Block Size 16.0 MB
360
+ Peak Block count 2
361
+ Peak Allocated memory 32.2 MB
362
+ Peak Large allocation bytes 16.0 MB
363
+ [ALLOC_TEMP_JOB_1_FRAME]
364
+ Initial Block Size 2.0 MB
365
+ Used Block Count 1
366
+ Overflow Count (too large) 0
367
+ Overflow Count (full) 0
368
+ [ALLOC_TEMP_JOB_2_FRAMES]
369
+ Initial Block Size 2.0 MB
370
+ Used Block Count 1
371
+ Overflow Count (too large) 0
372
+ Overflow Count (full) 0
373
+ [ALLOC_TEMP_JOB_4_FRAMES (JobTemp)]
374
+ Initial Block Size 2.0 MB
375
+ Used Block Count 2
376
+ Overflow Count (too large) 0
377
+ Overflow Count (full) 0
378
+ [ALLOC_TEMP_JOB_ASYNC (Background)]
379
+ Initial Block Size 1.0 MB
380
+ Used Block Count 3
381
+ Overflow Count (too large) 0
382
+ Overflow Count (full) 0
383
+ [ALLOC_GFX] Dual Thread Allocator
384
+ Peak main deferred allocation count 0
385
+ [ALLOC_BUCKET]
386
+ Large Block size 4.0 MB
387
+ Used Block count 1
388
+ Peak Allocated bytes 1.7 MB
389
+ [ALLOC_GFX_MAIN]
390
+ Peak usage frame count: [32.0 KB-64.0 KB]: 18771 frames, [64.0 KB-128.0 KB]: 1 frames
391
+ Requested Block Size 16.0 MB
392
+ Peak Block count 1
393
+ Peak Allocated memory 67.0 KB
394
+ Peak Large allocation bytes 0 B
395
+ [ALLOC_GFX_THREAD]
396
+ Peak usage frame count: [64.0 KB-128.0 KB]: 18772 frames
397
+ Requested Block Size 16.0 MB
398
+ Peak Block count 1
399
+ Peak Allocated memory 67.7 KB
400
+ Peak Large allocation bytes 0 B
401
+ [ALLOC_CACHEOBJECTS] Dual Thread Allocator
402
+ Peak main deferred allocation count 1
403
+ [ALLOC_BUCKET]
404
+ Large Block size 4.0 MB
405
+ Used Block count 1
406
+ Peak Allocated bytes 1.7 MB
407
+ [ALLOC_CACHEOBJECTS_MAIN]
408
+ Peak usage frame count: [0.5 MB-1.0 MB]: 299 frames, [1.0 MB-2.0 MB]: 18473 frames
409
+ Requested Block Size 4.0 MB
410
+ Peak Block count 1
411
+ Peak Allocated memory 1.4 MB
412
+ Peak Large allocation bytes 0 B
413
+ [ALLOC_CACHEOBJECTS_THREAD]
414
+ Peak usage frame count: [1.0 MB-2.0 MB]: 18771 frames, [4.0 MB-8.0 MB]: 1 frames
415
+ Requested Block Size 4.0 MB
416
+ Peak Block count 2
417
+ Peak Allocated memory 4.7 MB
418
+ Peak Large allocation bytes 0 B
419
+ [ALLOC_TYPETREE] Dual Thread Allocator
420
+ Peak main deferred allocation count 0
421
+ [ALLOC_BUCKET]
422
+ Large Block size 4.0 MB
423
+ Used Block count 1
424
+ Peak Allocated bytes 1.7 MB
425
+ [ALLOC_TYPETREE_MAIN]
426
+ Peak usage frame count: [0-1.0 KB]: 18772 frames
427
+ Requested Block Size 2.0 MB
428
+ Peak Block count 1
429
+ Peak Allocated memory 1.0 KB
430
+ Peak Large allocation bytes 0 B
431
+ [ALLOC_TYPETREE_THREAD]
432
+ Peak usage frame count: [1.0 KB-2.0 KB]: 18772 frames
433
+ Requested Block Size 2.0 MB
434
+ Peak Block count 1
435
+ Peak Allocated memory 1.9 KB
436
+ Peak Large allocation bytes 0 B
437
+ [ALLOC_PROFILER]
438
+ Peak usage frame count: [32.0 KB-64.0 KB]: 18772 frames
439
+ Requested Block Size 16.0 MB
440
+ Peak Block count 1
441
+ Peak Allocated memory 54.4 KB
442
+ Peak Large allocation bytes 0 B
443
+ [ALLOC_PROFILER_BUCKET]
444
+ Large Block size 4.0 MB
445
+ Used Block count 1
446
+ Peak Allocated bytes 396 B
447
+ ##utp:{"type":"MemoryLeaks","version":2,"phase":"Immediate","time":1658487929018,"processId":31595,"allocatedMemory":2006304,"memoryLabels":[{"Default":9033},{"Permanent":1264},{"NewDelete":12801},{"Thread":35300},{"Manager":33551},{"VertexData":12},{"Geometry":280},{"Texture":16},{"Shader":69173},{"Material":24},{"GfxDevice":35248},{"Animation":304},{"Audio":3976},{"Physics":288},{"Serialization":216},{"Input":9176},{"JobScheduler":200},{"Mono":40},{"ScriptingNativeRuntime":216},{"BaseObject":1609212},{"Resource":592},{"Renderer":1936},{"Transform":48},{"File":800},{"WebCam":24},{"Culling":40},{"Terrain":953},{"Wind":24},{"String":3590},{"DynamicArray":30868},{"HashMap":7680},{"Utility":13600},{"PoolAlloc":1160},{"TypeTree":1792},{"ScriptManager":80},{"RuntimeInitializeOnLoadManager":72},{"SpriteAtlas":112},{"GI":3272},{"Unet":16},{"Director":7760},{"WebRequest":720},{"VR":45473},{"SceneManager":424},{"Video":32},{"LazyScriptCache":32},{"NativeArray":384},{"Camera":25},{"Secure":1},{"SerializationCache":624},{"APIUpdating":5872},{"Subsystems":384},{"VirtualTexturing":57552},{"AssetReference":32}]}
run_logs/timers.json ADDED
@@ -0,0 +1,405 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "root",
3
+ "gauges": {
4
+ "Pyramids.Policy.Entropy.mean": {
5
+ "value": 0.3679918944835663,
6
+ "min": 0.3551021218299866,
7
+ "max": 1.4462023973464966,
8
+ "count": 33
9
+ },
10
+ "Pyramids.Policy.Entropy.sum": {
11
+ "value": 11033.869140625,
12
+ "min": 10670.1083984375,
13
+ "max": 43871.99609375,
14
+ "count": 33
15
+ },
16
+ "Pyramids.Step.mean": {
17
+ "value": 989951.0,
18
+ "min": 29952.0,
19
+ "max": 989951.0,
20
+ "count": 33
21
+ },
22
+ "Pyramids.Step.sum": {
23
+ "value": 989951.0,
24
+ "min": 29952.0,
25
+ "max": 989951.0,
26
+ "count": 33
27
+ },
28
+ "Pyramids.Policy.ExtrinsicValueEstimate.mean": {
29
+ "value": 0.27651453018188477,
30
+ "min": -0.09532951563596725,
31
+ "max": 0.33998408913612366,
32
+ "count": 33
33
+ },
34
+ "Pyramids.Policy.ExtrinsicValueEstimate.sum": {
35
+ "value": 69.95817565917969,
36
+ "min": -22.97441291809082,
37
+ "max": 89.75579833984375,
38
+ "count": 33
39
+ },
40
+ "Pyramids.Policy.RndValueEstimate.mean": {
41
+ "value": -0.039725832641124725,
42
+ "min": -0.05147663503885269,
43
+ "max": 0.21246053278446198,
44
+ "count": 33
45
+ },
46
+ "Pyramids.Policy.RndValueEstimate.sum": {
47
+ "value": -10.05063533782959,
48
+ "min": -13.538354873657227,
49
+ "max": 51.20298767089844,
50
+ "count": 33
51
+ },
52
+ "Pyramids.Losses.PolicyLoss.mean": {
53
+ "value": 0.06863575475950758,
54
+ "min": 0.06420329417423568,
55
+ "max": 0.07407966320404259,
56
+ "count": 33
57
+ },
58
+ "Pyramids.Losses.PolicyLoss.sum": {
59
+ "value": 0.9609005666331061,
60
+ "min": 0.5185576424282982,
61
+ "max": 1.0563603748268375,
62
+ "count": 33
63
+ },
64
+ "Pyramids.Losses.ValueLoss.mean": {
65
+ "value": 0.009475972343235434,
66
+ "min": 0.001818657141099264,
67
+ "max": 0.014369131123865465,
68
+ "count": 33
69
+ },
70
+ "Pyramids.Losses.ValueLoss.sum": {
71
+ "value": 0.13266361280529607,
72
+ "min": 0.016367914269893376,
73
+ "max": 0.215536966857982,
74
+ "count": 33
75
+ },
76
+ "Pyramids.Policy.LearningRate.mean": {
77
+ "value": 7.761225984385714e-06,
78
+ "min": 7.761225984385714e-06,
79
+ "max": 0.00029515063018788575,
80
+ "count": 33
81
+ },
82
+ "Pyramids.Policy.LearningRate.sum": {
83
+ "value": 0.0001086571637814,
84
+ "min": 0.0001086571637814,
85
+ "max": 0.003758749047083699,
86
+ "count": 33
87
+ },
88
+ "Pyramids.Policy.Epsilon.mean": {
89
+ "value": 0.10258704285714286,
90
+ "min": 0.10258704285714286,
91
+ "max": 0.19838354285714285,
92
+ "count": 33
93
+ },
94
+ "Pyramids.Policy.Epsilon.sum": {
95
+ "value": 1.4362186000000001,
96
+ "min": 1.3886848,
97
+ "max": 2.6529163000000002,
98
+ "count": 33
99
+ },
100
+ "Pyramids.Policy.Beta.mean": {
101
+ "value": 0.0002684455814285715,
102
+ "min": 0.0002684455814285715,
103
+ "max": 0.00983851593142857,
104
+ "count": 33
105
+ },
106
+ "Pyramids.Policy.Beta.sum": {
107
+ "value": 0.003758238140000001,
108
+ "min": 0.003758238140000001,
109
+ "max": 0.12530633837,
110
+ "count": 33
111
+ },
112
+ "Pyramids.Losses.RNDLoss.mean": {
113
+ "value": 0.008830172009766102,
114
+ "min": 0.008830172009766102,
115
+ "max": 0.3411354124546051,
116
+ "count": 33
117
+ },
118
+ "Pyramids.Losses.RNDLoss.sum": {
119
+ "value": 0.12362240254878998,
120
+ "min": 0.12362240254878998,
121
+ "max": 2.3879477977752686,
122
+ "count": 33
123
+ },
124
+ "Pyramids.Environment.EpisodeLength.mean": {
125
+ "value": 603.3125,
126
+ "min": 503.44642857142856,
127
+ "max": 999.0,
128
+ "count": 33
129
+ },
130
+ "Pyramids.Environment.EpisodeLength.sum": {
131
+ "value": 28959.0,
132
+ "min": 15984.0,
133
+ "max": 33137.0,
134
+ "count": 33
135
+ },
136
+ "Pyramids.Environment.CumulativeReward.mean": {
137
+ "value": 0.8548541309622427,
138
+ "min": -1.0000000521540642,
139
+ "max": 1.2712881096591384,
140
+ "count": 33
141
+ },
142
+ "Pyramids.Environment.CumulativeReward.sum": {
143
+ "value": 41.03299828618765,
144
+ "min": -29.948001705110073,
145
+ "max": 75.00599846988916,
146
+ "count": 33
147
+ },
148
+ "Pyramids.Policy.ExtrinsicReward.mean": {
149
+ "value": 0.8548541309622427,
150
+ "min": -1.0000000521540642,
151
+ "max": 1.2712881096591384,
152
+ "count": 33
153
+ },
154
+ "Pyramids.Policy.ExtrinsicReward.sum": {
155
+ "value": 41.03299828618765,
156
+ "min": -29.948001705110073,
157
+ "max": 75.00599846988916,
158
+ "count": 33
159
+ },
160
+ "Pyramids.Policy.RndReward.mean": {
161
+ "value": 0.054995463272462075,
162
+ "min": 0.0473928350766073,
163
+ "max": 6.789634536486119,
164
+ "count": 33
165
+ },
166
+ "Pyramids.Policy.RndReward.sum": {
167
+ "value": 2.6397822370781796,
168
+ "min": 2.6397822370781796,
169
+ "max": 108.6341525837779,
170
+ "count": 33
171
+ },
172
+ "Pyramids.IsTraining.mean": {
173
+ "value": 1.0,
174
+ "min": 1.0,
175
+ "max": 1.0,
176
+ "count": 33
177
+ },
178
+ "Pyramids.IsTraining.sum": {
179
+ "value": 1.0,
180
+ "min": 1.0,
181
+ "max": 1.0,
182
+ "count": 33
183
+ }
184
+ },
185
+ "metadata": {
186
+ "timer_format_version": "0.1.0",
187
+ "start_time_seconds": "1658487033",
188
+ "python_version": "3.8.10 (default, Jun 22 2022, 20:18:18) \n[GCC 9.4.0]",
189
+ "command_line_arguments": "/home/xrh1/experiments/hf_deep_rl_course/hf_env/bin/mlagents-learn ./config/ppo/PyramidsRND.yaml --env=./trained-envs-executables/linux/Pyramids/Pyramids --run-id=Pyramids Training --no-graphics --force",
190
+ "mlagents_version": "0.29.0.dev0",
191
+ "mlagents_envs_version": "0.29.0.dev0",
192
+ "communication_protocol_version": "1.5.0",
193
+ "pytorch_version": "1.8.2+cu111",
194
+ "numpy_version": "1.23.1",
195
+ "end_time_seconds": "1658487929"
196
+ },
197
+ "total": 895.6079949880004,
198
+ "count": 1,
199
+ "self": 0.21812786100053927,
200
+ "children": {
201
+ "run_training.setup": {
202
+ "total": 0.04634729099780088,
203
+ "count": 1,
204
+ "self": 0.04634729099780088
205
+ },
206
+ "TrainerController.start_learning": {
207
+ "total": 895.3435198360021,
208
+ "count": 1,
209
+ "self": 0.5447104507256881,
210
+ "children": {
211
+ "TrainerController._reset_env": {
212
+ "total": 1.9903457530017477,
213
+ "count": 1,
214
+ "self": 1.9903457530017477
215
+ },
216
+ "TrainerController.advance": {
217
+ "total": 892.7663146862687,
218
+ "count": 63598,
219
+ "self": 0.5678141857279115,
220
+ "children": {
221
+ "env_step": {
222
+ "total": 554.7010283552081,
223
+ "count": 63598,
224
+ "self": 502.99913873546757,
225
+ "children": {
226
+ "SubprocessEnvManager._take_step": {
227
+ "total": 51.328095543060044,
228
+ "count": 63598,
229
+ "self": 1.9043558816847508,
230
+ "children": {
231
+ "TorchPolicy.evaluate": {
232
+ "total": 49.42373966137529,
233
+ "count": 62572,
234
+ "self": 16.666617698552727,
235
+ "children": {
236
+ "TorchPolicy.sample_actions": {
237
+ "total": 32.757121962822566,
238
+ "count": 62572,
239
+ "self": 32.757121962822566
240
+ }
241
+ }
242
+ }
243
+ }
244
+ },
245
+ "workers": {
246
+ "total": 0.3737940766804968,
247
+ "count": 63598,
248
+ "self": 0.0,
249
+ "children": {
250
+ "worker_root": {
251
+ "total": 894.0539208223854,
252
+ "count": 63598,
253
+ "is_parallel": true,
254
+ "self": 439.5817079125409,
255
+ "children": {
256
+ "run_training.setup": {
257
+ "total": 0.0,
258
+ "count": 0,
259
+ "is_parallel": true,
260
+ "self": 0.0,
261
+ "children": {
262
+ "steps_from_proto": {
263
+ "total": 0.0015668170017306693,
264
+ "count": 1,
265
+ "is_parallel": true,
266
+ "self": 0.0004762860044138506,
267
+ "children": {
268
+ "_process_rank_one_or_two_observation": {
269
+ "total": 0.0010905309973168187,
270
+ "count": 8,
271
+ "is_parallel": true,
272
+ "self": 0.0010905309973168187
273
+ }
274
+ }
275
+ },
276
+ "UnityEnvironment.step": {
277
+ "total": 0.02926428700448014,
278
+ "count": 1,
279
+ "is_parallel": true,
280
+ "self": 0.0003408840057090856,
281
+ "children": {
282
+ "UnityEnvironment._generate_step_input": {
283
+ "total": 0.00035091400059172884,
284
+ "count": 1,
285
+ "is_parallel": true,
286
+ "self": 0.00035091400059172884
287
+ },
288
+ "communicator.exchange": {
289
+ "total": 0.027560167996853124,
290
+ "count": 1,
291
+ "is_parallel": true,
292
+ "self": 0.027560167996853124
293
+ },
294
+ "steps_from_proto": {
295
+ "total": 0.0010123210013261996,
296
+ "count": 1,
297
+ "is_parallel": true,
298
+ "self": 0.00026250199880450964,
299
+ "children": {
300
+ "_process_rank_one_or_two_observation": {
301
+ "total": 0.00074981900252169,
302
+ "count": 8,
303
+ "is_parallel": true,
304
+ "self": 0.00074981900252169
305
+ }
306
+ }
307
+ }
308
+ }
309
+ }
310
+ }
311
+ },
312
+ "UnityEnvironment.step": {
313
+ "total": 454.47221290984453,
314
+ "count": 63597,
315
+ "is_parallel": true,
316
+ "self": 16.29652033486491,
317
+ "children": {
318
+ "UnityEnvironment._generate_step_input": {
319
+ "total": 11.880322591561708,
320
+ "count": 63597,
321
+ "is_parallel": true,
322
+ "self": 11.880322591561708
323
+ },
324
+ "communicator.exchange": {
325
+ "total": 380.4310195336002,
326
+ "count": 63597,
327
+ "is_parallel": true,
328
+ "self": 380.4310195336002
329
+ },
330
+ "steps_from_proto": {
331
+ "total": 45.86435044981772,
332
+ "count": 63597,
333
+ "is_parallel": true,
334
+ "self": 11.202646650388488,
335
+ "children": {
336
+ "_process_rank_one_or_two_observation": {
337
+ "total": 34.66170379942923,
338
+ "count": 508776,
339
+ "is_parallel": true,
340
+ "self": 34.66170379942923
341
+ }
342
+ }
343
+ }
344
+ }
345
+ }
346
+ }
347
+ }
348
+ }
349
+ }
350
+ }
351
+ },
352
+ "trainer_advance": {
353
+ "total": 337.4974721453327,
354
+ "count": 63598,
355
+ "self": 0.8618434425952728,
356
+ "children": {
357
+ "process_trajectory": {
358
+ "total": 70.42296819979674,
359
+ "count": 63598,
360
+ "self": 70.3119258187944,
361
+ "children": {
362
+ "RLTrainer._checkpoint": {
363
+ "total": 0.11104238100233488,
364
+ "count": 2,
365
+ "self": 0.11104238100233488
366
+ }
367
+ }
368
+ },
369
+ "_update_policy": {
370
+ "total": 266.2126605029407,
371
+ "count": 455,
372
+ "self": 78.96995272532513,
373
+ "children": {
374
+ "TorchPPOOptimizer.update": {
375
+ "total": 187.24270777761558,
376
+ "count": 22776,
377
+ "self": 187.24270777761558
378
+ }
379
+ }
380
+ }
381
+ }
382
+ }
383
+ }
384
+ },
385
+ "trainer_threads": {
386
+ "total": 5.600013537332416e-07,
387
+ "count": 1,
388
+ "self": 5.600013537332416e-07
389
+ },
390
+ "TrainerController._save_models": {
391
+ "total": 0.042148386004555505,
392
+ "count": 1,
393
+ "self": 0.0005437060026451945,
394
+ "children": {
395
+ "RLTrainer._checkpoint": {
396
+ "total": 0.04160468000191031,
397
+ "count": 1,
398
+ "self": 0.04160468000191031
399
+ }
400
+ }
401
+ }
402
+ }
403
+ }
404
+ }
405
+ }
run_logs/training_status.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "Pyramids": {
3
+ "checkpoints": [
4
+ {
5
+ "steps": 499887,
6
+ "file_path": "results/Pyramids Training/Pyramids/Pyramids-499887.onnx",
7
+ "reward": 1.5239999741315842,
8
+ "creation_time": 1658487472.8035238,
9
+ "auxillary_file_paths": [
10
+ "results/Pyramids Training/Pyramids/Pyramids-499887.pt"
11
+ ]
12
+ },
13
+ {
14
+ "steps": 999993,
15
+ "file_path": "results/Pyramids Training/Pyramids/Pyramids-999993.onnx",
16
+ "reward": 1.4654999300837517,
17
+ "creation_time": 1658487928.7760186,
18
+ "auxillary_file_paths": [
19
+ "results/Pyramids Training/Pyramids/Pyramids-999993.pt"
20
+ ]
21
+ },
22
+ {
23
+ "steps": 1000121,
24
+ "file_path": "results/Pyramids Training/Pyramids/Pyramids-1000121.onnx",
25
+ "reward": 1.4654999300837517,
26
+ "creation_time": 1658487928.8264797,
27
+ "auxillary_file_paths": [
28
+ "results/Pyramids Training/Pyramids/Pyramids-1000121.pt"
29
+ ]
30
+ }
31
+ ],
32
+ "final_checkpoint": {
33
+ "steps": 1000121,
34
+ "file_path": "results/Pyramids Training/Pyramids.onnx",
35
+ "reward": 1.4654999300837517,
36
+ "creation_time": 1658487928.8264797,
37
+ "auxillary_file_paths": [
38
+ "results/Pyramids Training/Pyramids/Pyramids-1000121.pt"
39
+ ]
40
+ }
41
+ },
42
+ "metadata": {
43
+ "stats_format_version": "0.3.0",
44
+ "mlagents_version": "0.29.0.dev0",
45
+ "torch_version": "1.8.2+cu111"
46
+ }
47
+ }