joen2010 commited on
Commit
3cd3080
1 Parent(s): 211c48e

First Push

Browse files
Pyramids.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:632a922a212c73cce4361c01e53d7421b31e65197bbe88879893d2d472245d66
3
+ size 1420238
Pyramids/Pyramids-1499969.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fdd0345a154bcdf3ad28a5dd9c267495e78179cc12e03a57c83356637f1594fe
3
+ size 1420238
Pyramids/Pyramids-1499969.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3a0a55a2bb40127a711b2438df4e1796e99a29c7fbcd5eda62892a023624a04e
3
+ size 8656252
Pyramids/Pyramids-1999943.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:962bd9acdad93682ba32f1aacba8f23b46bfab0a7d408a37a3428237c0d1eb4b
3
+ size 1420238
Pyramids/Pyramids-1999943.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:68301bb6c9992058dfca8e2877837f353c71390a35b3692127b33325de61ae11
3
+ size 8656252
Pyramids/Pyramids-2499990.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c2e4282a2864f8e53101c0dd1e653d54a68ec77ed174789cba78225af6d5bdff
3
+ size 1420238
Pyramids/Pyramids-2499990.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:55cac89fd6bb3195097a0f57696e26affc1bfcafbc7675eca719e6cb7cf14e57
3
+ size 8656252
Pyramids/Pyramids-2999995.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:632a922a212c73cce4361c01e53d7421b31e65197bbe88879893d2d472245d66
3
+ size 1420238
Pyramids/Pyramids-2999995.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:807ffa11c707a8251726e25429c87e8635bc0ad1ed8843944c33b66a306e8e1d
3
+ size 8656252
Pyramids/Pyramids-3000093.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:632a922a212c73cce4361c01e53d7421b31e65197bbe88879893d2d472245d66
3
+ size 1420238
Pyramids/Pyramids-3000093.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f6fd8a38315c4bc04df33adf522444f3a7d8bf72e37e00de747474c5a99eefe7
3
+ size 8656252
Pyramids/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4d758b635aead3b72f543e2d6ed72a8eb7ad3e804ecc49b690d8192a3df5e754
3
+ size 8655778
Pyramids/events.out.tfevents.1712438015.joeny-dev.10431.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3e2bcaa178d47e6ab5642fc278beab2029f53df777451594aa0779a1e4b7fd49
3
+ size 915010
README.md ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: ml-agents
3
+ tags:
4
+ - Pyramids
5
+ - deep-reinforcement-learning
6
+ - reinforcement-learning
7
+ - ML-Agents-Pyramids
8
+ ---
9
+
10
+ # **ppo** Agent playing **Pyramids**
11
+ This is a trained model of a **ppo** agent playing **Pyramids**
12
+ using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
13
+
14
+ ## Usage (with ML-Agents)
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: joen2010/ppo-PyramidsRND
33
+ 3. Step 2: Select your *.nn /*.onnx file
34
+ 4. Click on Watch the agent play 👀
35
+
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, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 500000, "network_settings": {"normalize": false, "hidden_units": 512, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}, "rnd": {"gamma": 0.99, "strength": 0.01, "network_settings": {"normalize": false, "hidden_units": 64, "num_layers": 3, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "learning_rate": 0.0001, "encoding_size": null}}, "init_path": null, "keep_checkpoints": 5, "even_checkpoints": false, "max_steps": 3000000, "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, "timeout_wait": 60, "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, "no_graphics_monitor": false}, "environment_parameters": null, "checkpoint_settings": {"run_id": "Pyramids Training", "initialize_from": null, "load_model": false, "resume": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
configuration.yaml ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ shared_critic: false
14
+ learning_rate_schedule: linear
15
+ beta_schedule: linear
16
+ epsilon_schedule: linear
17
+ checkpoint_interval: 500000
18
+ network_settings:
19
+ normalize: false
20
+ hidden_units: 512
21
+ num_layers: 2
22
+ vis_encode_type: simple
23
+ memory: null
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
+ rnd:
39
+ gamma: 0.99
40
+ strength: 0.01
41
+ network_settings:
42
+ normalize: false
43
+ hidden_units: 64
44
+ num_layers: 3
45
+ vis_encode_type: simple
46
+ memory: null
47
+ goal_conditioning_type: hyper
48
+ deterministic: false
49
+ learning_rate: 0.0001
50
+ encoding_size: null
51
+ init_path: null
52
+ keep_checkpoints: 5
53
+ even_checkpoints: false
54
+ max_steps: 3000000
55
+ time_horizon: 128
56
+ summary_freq: 30000
57
+ threaded: false
58
+ self_play: null
59
+ behavioral_cloning: null
60
+ env_settings:
61
+ env_path: trained-envs-executables/linux/Pyramids/Pyramids
62
+ env_args: null
63
+ base_port: 5005
64
+ num_envs: 1
65
+ num_areas: 1
66
+ timeout_wait: 60
67
+ seed: -1
68
+ max_lifetime_restarts: 10
69
+ restarts_rate_limit_n: 1
70
+ restarts_rate_limit_period_s: 60
71
+ engine_settings:
72
+ width: 84
73
+ height: 84
74
+ quality_level: 5
75
+ time_scale: 20
76
+ target_frame_rate: -1
77
+ capture_frame_rate: 60
78
+ no_graphics: true
79
+ no_graphics_monitor: false
80
+ environment_parameters: null
81
+ checkpoint_settings:
82
+ run_id: Pyramids Training
83
+ initialize_from: null
84
+ load_model: false
85
+ resume: false
86
+ force: false
87
+ train_model: false
88
+ inference: false
89
+ results_dir: results
90
+ torch_settings:
91
+ device: null
92
+ debug: false
run_logs/Player-0.log ADDED
@@ -0,0 +1,363 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mono path[0] = '/home/joeny/projects/rl-learning/trained-envs-executables/linux/Pyramids/Pyramids_Data/Managed'
2
+ Mono config path = '/home/joeny/projects/rl-learning/trained-envs-executables/linux/Pyramids/Pyramids_Data/MonoBleedingEdge/etc'
3
+ Found 1 interfaces on host : 0) 192.168.1.83
4
+ Multi-casting "[IP] 192.168.1.83 [Port] 55443 [Flags] 2 [Guid] 4017808438 [EditorId] 764847374 [Version] 1048832 [Id] LinuxPlayer(13,192.168.1.83) [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/joeny/.config/unity3d/Unity Technologies
8
+ PlayerPrefs - Creating folder: /home/joeny/.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/joeny/projects/rl-learning/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 0.067 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: 0.580189 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 4 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]: 7808 frames, [32.0 KB-64.0 KB]: 33078 frames, [64.0 KB-128.0 KB]: 15380 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_Background Job.Worker 8]
65
+ Initial Block Size 32.0 KB
66
+ Current Block Size 32.0 KB
67
+ Peak Allocated Bytes 0 B
68
+ Overflow Count 0
69
+ [ALLOC_TEMP_Background Job.Worker 10]
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_Background Job.Worker 6]
80
+ Initial Block Size 32.0 KB
81
+ Current Block Size 32.0 KB
82
+ Peak Allocated Bytes 0 B
83
+ Overflow Count 0
84
+ [ALLOC_TEMP_Background Job.Worker 1]
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 11]
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 3]
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_BatchDeleteObjects]
100
+ Initial Block Size 64.0 KB
101
+ Current Block Size 64.0 KB
102
+ Peak Allocated Bytes 0 B
103
+ Overflow Count 0
104
+ [ALLOC_TEMP_AUDIO_FMOD stream thread]
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 2]
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 15]
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 7]
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_Job.Worker 1]
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_Loading.PreloadManager]
130
+ Initial Block Size 256.0 KB
131
+ Current Block Size 320.0 KB
132
+ Peak Allocated Bytes 251.5 KB
133
+ Overflow Count 4
134
+ [ALLOC_TEMP_AUDIO_FMOD PulseAudio Mixer]
135
+ Initial Block Size 64.0 KB
136
+ Current Block Size 64.0 KB
137
+ Peak Allocated Bytes 0 B
138
+ Overflow Count 0
139
+ [ALLOC_TEMP_Profiler.Dispatcher]
140
+ Initial Block Size 64.0 KB
141
+ Current Block Size 64.0 KB
142
+ Peak Allocated Bytes 0.9 KB
143
+ Overflow Count 0
144
+ [ALLOC_TEMP_Job.Worker 3]
145
+ Initial Block Size 256.0 KB
146
+ Current Block Size 256.0 KB
147
+ Peak Allocated Bytes 0 B
148
+ Overflow Count 0
149
+ [ALLOC_TEMP_Background Job.Worker 12]
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_AssetGarbageCollectorHelper] x 7
155
+ Initial Block Size 64.0 KB
156
+ Current Block Size 64.0 KB
157
+ Peak Allocated Bytes 0 B
158
+ Overflow Count 0
159
+ [ALLOC_TEMP_Background Job.Worker 5]
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_Background Job.Worker 13]
165
+ Initial Block Size 32.0 KB
166
+ Current Block Size 32.0 KB
167
+ Peak Allocated Bytes 0 B
168
+ Overflow Count 0
169
+ [ALLOC_TEMP_Job.Worker 2]
170
+ Initial Block Size 256.0 KB
171
+ Current Block Size 256.0 KB
172
+ Peak Allocated Bytes 0 B
173
+ Overflow Count 0
174
+ [ALLOC_TEMP_Background Job.Worker 0]
175
+ Initial Block Size 32.0 KB
176
+ Current Block Size 32.0 KB
177
+ Peak Allocated Bytes 0 B
178
+ Overflow Count 0
179
+ [ALLOC_TEMP_Background Job.Worker 4]
180
+ Initial Block Size 32.0 KB
181
+ Current Block Size 32.0 KB
182
+ Peak Allocated Bytes 0 B
183
+ Overflow Count 0
184
+ [ALLOC_TEMP_Job.Worker 0]
185
+ Initial Block Size 256.0 KB
186
+ Current Block Size 256.0 KB
187
+ Peak Allocated Bytes 0 B
188
+ Overflow Count 0
189
+ [ALLOC_TEMP_Job.Worker 5]
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_Background Job.Worker 14]
195
+ Initial Block Size 32.0 KB
196
+ Current Block Size 32.0 KB
197
+ Peak Allocated Bytes 0 B
198
+ Overflow Count 0
199
+ [ALLOC_TEMP_Job.Worker 6]
200
+ Initial Block Size 256.0 KB
201
+ Current Block Size 256.0 KB
202
+ Peak Allocated Bytes 0.8 KB
203
+ Overflow Count 0
204
+ [ALLOC_TEMP_EnlightenWorker] x 4
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_Background Job.Worker 9]
210
+ Initial Block Size 32.0 KB
211
+ Current Block Size 32.0 KB
212
+ Peak Allocated Bytes 0 B
213
+ Overflow Count 0
214
+ [ALLOC_TEMP_Loading.AsyncRead]
215
+ Initial Block Size 64.0 KB
216
+ Current Block Size 64.0 KB
217
+ Peak Allocated Bytes 128 B
218
+ Overflow Count 0
219
+ [ALLOC_MEMORYPROFILER]
220
+ Peak usage frame count: [0.5 MB-1.0 MB]: 299 frames, [1.0 MB-2.0 MB]: 55968 frames
221
+ Requested Block Size 1.0 MB
222
+ Peak Block count 2
223
+ Peak Allocated memory 1.6 MB
224
+ Peak Large allocation bytes 0 B
225
+ [ALLOC_DEFAULT] Dual Thread Allocator
226
+ Peak main deferred allocation count 19967
227
+ [ALLOC_BUCKET]
228
+ Large Block size 4.0 MB
229
+ Used Block count 1
230
+ Peak Allocated bytes 2.4 MB
231
+ Failed Allocations. Bucket layout:
232
+ 16B: 6 Subsections = 2048 buckets. Failed count: 1331373
233
+ 32B: 37 Subsections = 9472 buckets. Failed count: 2402
234
+ 48B: 56 Subsections = 11468 buckets. Failed count: 1907
235
+ 64B: 44 Subsections = 7509 buckets. Failed count: 366
236
+ 80B: 14 Subsections = 2048 buckets. Failed count: 1473979
237
+ 96B: 14 Subsections = 1792 buckets. Failed count: 1752480
238
+ 112B: 3 Subsections = 341 buckets. Failed count: 0
239
+ 128B: 82 Subsections = 8396 buckets. Failed count: 16798
240
+ [ALLOC_DEFAULT_MAIN]
241
+ Peak usage frame count: [16.0 MB-32.0 MB]: 56248 frames, [32.0 MB-64.0 MB]: 19 frames
242
+ Requested Block Size 16.0 MB
243
+ Peak Block count 3
244
+ Peak Allocated memory 35.9 MB
245
+ Peak Large allocation bytes 0 B
246
+ [ALLOC_DEFAULT_THREAD]
247
+ Peak usage frame count: [16.0 MB-32.0 MB]: 56267 frames
248
+ Requested Block Size 16.0 MB
249
+ Peak Block count 1
250
+ Peak Allocated memory 24.3 MB
251
+ Peak Large allocation bytes 16.0 MB
252
+ [ALLOC_TEMP_JOB_1_FRAME]
253
+ Initial Block Size 2.0 MB
254
+ Used Block Count 1
255
+ Overflow Count (too large) 0
256
+ Overflow Count (full) 0
257
+ [ALLOC_TEMP_JOB_2_FRAMES]
258
+ Initial Block Size 2.0 MB
259
+ Used Block Count 1
260
+ Overflow Count (too large) 0
261
+ Overflow Count (full) 0
262
+ [ALLOC_TEMP_JOB_4_FRAMES (JobTemp)]
263
+ Initial Block Size 2.0 MB
264
+ Used Block Count 2
265
+ Overflow Count (too large) 0
266
+ Overflow Count (full) 0
267
+ [ALLOC_TEMP_JOB_ASYNC (Background)]
268
+ Initial Block Size 1.0 MB
269
+ Used Block Count 3
270
+ Overflow Count (too large) 0
271
+ Overflow Count (full) 0
272
+ [ALLOC_GFX] Dual Thread Allocator
273
+ Peak main deferred allocation count 0
274
+ [ALLOC_BUCKET]
275
+ Large Block size 4.0 MB
276
+ Used Block count 1
277
+ Peak Allocated bytes 2.4 MB
278
+ Failed Allocations. Bucket layout:
279
+ 16B: 6 Subsections = 2048 buckets. Failed count: 1331373
280
+ 32B: 37 Subsections = 9472 buckets. Failed count: 2402
281
+ 48B: 56 Subsections = 11468 buckets. Failed count: 1907
282
+ 64B: 44 Subsections = 7509 buckets. Failed count: 366
283
+ 80B: 14 Subsections = 2048 buckets. Failed count: 1473979
284
+ 96B: 14 Subsections = 1792 buckets. Failed count: 1752480
285
+ 112B: 3 Subsections = 341 buckets. Failed count: 0
286
+ 128B: 82 Subsections = 8396 buckets. Failed count: 16798
287
+ [ALLOC_GFX_MAIN]
288
+ Peak usage frame count: [32.0 KB-64.0 KB]: 56266 frames, [64.0 KB-128.0 KB]: 1 frames
289
+ Requested Block Size 16.0 MB
290
+ Peak Block count 1
291
+ Peak Allocated memory 67.0 KB
292
+ Peak Large allocation bytes 0 B
293
+ [ALLOC_GFX_THREAD]
294
+ Peak usage frame count: [64.0 KB-128.0 KB]: 56267 frames
295
+ Requested Block Size 16.0 MB
296
+ Peak Block count 1
297
+ Peak Allocated memory 67.7 KB
298
+ Peak Large allocation bytes 0 B
299
+ [ALLOC_CACHEOBJECTS] Dual Thread Allocator
300
+ Peak main deferred allocation count 1
301
+ [ALLOC_BUCKET]
302
+ Large Block size 4.0 MB
303
+ Used Block count 1
304
+ Peak Allocated bytes 2.4 MB
305
+ Failed Allocations. Bucket layout:
306
+ 16B: 6 Subsections = 2048 buckets. Failed count: 1331373
307
+ 32B: 37 Subsections = 9472 buckets. Failed count: 2402
308
+ 48B: 56 Subsections = 11468 buckets. Failed count: 1907
309
+ 64B: 44 Subsections = 7509 buckets. Failed count: 366
310
+ 80B: 14 Subsections = 2048 buckets. Failed count: 1473979
311
+ 96B: 14 Subsections = 1792 buckets. Failed count: 1752480
312
+ 112B: 3 Subsections = 341 buckets. Failed count: 0
313
+ 128B: 82 Subsections = 8396 buckets. Failed count: 16798
314
+ [ALLOC_CACHEOBJECTS_MAIN]
315
+ Peak usage frame count: [0.5 MB-1.0 MB]: 299 frames, [1.0 MB-2.0 MB]: 55968 frames
316
+ Requested Block Size 4.0 MB
317
+ Peak Block count 1
318
+ Peak Allocated memory 1.4 MB
319
+ Peak Large allocation bytes 0 B
320
+ [ALLOC_CACHEOBJECTS_THREAD]
321
+ Peak usage frame count: [1.0 MB-2.0 MB]: 56266 frames, [4.0 MB-8.0 MB]: 1 frames
322
+ Requested Block Size 4.0 MB
323
+ Peak Block count 2
324
+ Peak Allocated memory 4.7 MB
325
+ Peak Large allocation bytes 0 B
326
+ [ALLOC_TYPETREE] Dual Thread Allocator
327
+ Peak main deferred allocation count 0
328
+ [ALLOC_BUCKET]
329
+ Large Block size 4.0 MB
330
+ Used Block count 1
331
+ Peak Allocated bytes 2.4 MB
332
+ Failed Allocations. Bucket layout:
333
+ 16B: 6 Subsections = 2048 buckets. Failed count: 1331373
334
+ 32B: 37 Subsections = 9472 buckets. Failed count: 2402
335
+ 48B: 56 Subsections = 11468 buckets. Failed count: 1907
336
+ 64B: 44 Subsections = 7509 buckets. Failed count: 366
337
+ 80B: 14 Subsections = 2048 buckets. Failed count: 1473979
338
+ 96B: 14 Subsections = 1792 buckets. Failed count: 1752480
339
+ 112B: 3 Subsections = 341 buckets. Failed count: 0
340
+ 128B: 82 Subsections = 8396 buckets. Failed count: 16798
341
+ [ALLOC_TYPETREE_MAIN]
342
+ Peak usage frame count: [0-1.0 KB]: 56267 frames
343
+ Requested Block Size 2.0 MB
344
+ Peak Block count 1
345
+ Peak Allocated memory 1.1 KB
346
+ Peak Large allocation bytes 0 B
347
+ [ALLOC_TYPETREE_THREAD]
348
+ Peak usage frame count: [1.0 KB-2.0 KB]: 56267 frames
349
+ Requested Block Size 2.0 MB
350
+ Peak Block count 1
351
+ Peak Allocated memory 1.9 KB
352
+ Peak Large allocation bytes 0 B
353
+ [ALLOC_PROFILER]
354
+ Peak usage frame count: [16.0 KB-32.0 KB]: 56267 frames
355
+ Requested Block Size 16.0 MB
356
+ Peak Block count 1
357
+ Peak Allocated memory 31.4 KB
358
+ Peak Large allocation bytes 0 B
359
+ [ALLOC_PROFILER_BUCKET]
360
+ Large Block size 4.0 MB
361
+ Used Block count 1
362
+ Peak Allocated bytes 396 B
363
+ ##utp:{"type":"MemoryLeaks","version":2,"phase":"Immediate","time":1712441530788,"processId":10460,"allocatedMemory":1976496,"memoryLabels":[{"Default":9033},{"Permanent":1264},{"NewDelete":12929},{"Thread":34628},{"Manager":13967},{"VertexData":12},{"Geometry":280},{"Texture":16},{"Shader":69173},{"Material":24},{"GfxDevice":35248},{"Animation":304},{"Audio":3976},{"Physics":288},{"Serialization":216},{"Input":9222},{"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":3520},{"DynamicArray":30868},{"HashMap":7680},{"Utility":3808},{"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":520},{"Camera":25},{"Secure":1},{"SerializationCache":624},{"APIUpdating":5872},{"Subsystems":384},{"VirtualTexturing":57552},{"AssetReference":32}]}
run_logs/timers.json ADDED
@@ -0,0 +1,398 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "root",
3
+ "gauges": {
4
+ "Pyramids.Policy.Entropy.mean": {
5
+ "value": 0.14446556568145752,
6
+ "min": 0.14446556568145752,
7
+ "max": 1.444345235824585,
8
+ "count": 100
9
+ },
10
+ "Pyramids.Policy.Entropy.sum": {
11
+ "value": 4329.34423828125,
12
+ "min": 4329.34423828125,
13
+ "max": 43815.65625,
14
+ "count": 100
15
+ },
16
+ "Pyramids.Step.mean": {
17
+ "value": 2999995.0,
18
+ "min": 29952.0,
19
+ "max": 2999995.0,
20
+ "count": 100
21
+ },
22
+ "Pyramids.Step.sum": {
23
+ "value": 2999995.0,
24
+ "min": 29952.0,
25
+ "max": 2999995.0,
26
+ "count": 100
27
+ },
28
+ "Pyramids.Policy.ExtrinsicValueEstimate.mean": {
29
+ "value": 0.7704235315322876,
30
+ "min": -0.10181490331888199,
31
+ "max": 0.8655116558074951,
32
+ "count": 100
33
+ },
34
+ "Pyramids.Policy.ExtrinsicValueEstimate.sum": {
35
+ "value": 228.8157958984375,
36
+ "min": -24.537391662597656,
37
+ "max": 263.11553955078125,
38
+ "count": 100
39
+ },
40
+ "Pyramids.Policy.RndValueEstimate.mean": {
41
+ "value": 0.016733018681406975,
42
+ "min": 0.0011387375416234136,
43
+ "max": 0.555656373500824,
44
+ "count": 100
45
+ },
46
+ "Pyramids.Policy.RndValueEstimate.sum": {
47
+ "value": 4.9697065353393555,
48
+ "min": 0.3108753561973572,
49
+ "max": 131.69056701660156,
50
+ "count": 100
51
+ },
52
+ "Pyramids.Losses.PolicyLoss.mean": {
53
+ "value": 0.06988161647585038,
54
+ "min": 0.06204224426050851,
55
+ "max": 0.07483950753770285,
56
+ "count": 100
57
+ },
58
+ "Pyramids.Losses.PolicyLoss.sum": {
59
+ "value": 0.9783426306619054,
60
+ "min": 0.4822765194875156,
61
+ "max": 1.0786946713342331,
62
+ "count": 100
63
+ },
64
+ "Pyramids.Losses.ValueLoss.mean": {
65
+ "value": 0.01392988887444629,
66
+ "min": 0.00039698107112373356,
67
+ "max": 0.02598050595420415,
68
+ "count": 100
69
+ },
70
+ "Pyramids.Losses.ValueLoss.sum": {
71
+ "value": 0.19501844424224804,
72
+ "min": 0.00555773499573227,
73
+ "max": 0.26956557048833935,
74
+ "count": 100
75
+ },
76
+ "Pyramids.Policy.LearningRate.mean": {
77
+ "value": 1.5683637629595244e-06,
78
+ "min": 1.5683637629595244e-06,
79
+ "max": 0.00029838354339596195,
80
+ "count": 100
81
+ },
82
+ "Pyramids.Policy.LearningRate.sum": {
83
+ "value": 2.1957092681433342e-05,
84
+ "min": 2.1957092681433342e-05,
85
+ "max": 0.0039275268908244,
86
+ "count": 100
87
+ },
88
+ "Pyramids.Policy.Epsilon.mean": {
89
+ "value": 0.10052275476190477,
90
+ "min": 0.10052275476190477,
91
+ "max": 0.19946118095238097,
92
+ "count": 100
93
+ },
94
+ "Pyramids.Policy.Epsilon.sum": {
95
+ "value": 1.4073185666666668,
96
+ "min": 1.3897045333333333,
97
+ "max": 2.7973922,
98
+ "count": 100
99
+ },
100
+ "Pyramids.Policy.Beta.mean": {
101
+ "value": 6.222320071428574e-05,
102
+ "min": 6.222320071428574e-05,
103
+ "max": 0.009946171977142856,
104
+ "count": 100
105
+ },
106
+ "Pyramids.Policy.Beta.sum": {
107
+ "value": 0.0008711248100000005,
108
+ "min": 0.0008711248100000005,
109
+ "max": 0.13092664244000002,
110
+ "count": 100
111
+ },
112
+ "Pyramids.Losses.RNDLoss.mean": {
113
+ "value": 0.008425016887485981,
114
+ "min": 0.008099747821688652,
115
+ "max": 0.6463526487350464,
116
+ "count": 100
117
+ },
118
+ "Pyramids.Losses.RNDLoss.sum": {
119
+ "value": 0.11795023083686829,
120
+ "min": 0.11600933969020844,
121
+ "max": 4.524468421936035,
122
+ "count": 100
123
+ },
124
+ "Pyramids.Environment.EpisodeLength.mean": {
125
+ "value": 222.0597014925373,
126
+ "min": 207.645390070922,
127
+ "max": 999.0,
128
+ "count": 100
129
+ },
130
+ "Pyramids.Environment.EpisodeLength.sum": {
131
+ "value": 29756.0,
132
+ "min": 15984.0,
133
+ "max": 32511.0,
134
+ "count": 100
135
+ },
136
+ "Pyramids.Environment.CumulativeReward.mean": {
137
+ "value": 1.761954872175715,
138
+ "min": -1.0000000521540642,
139
+ "max": 1.7871785570468222,
140
+ "count": 100
141
+ },
142
+ "Pyramids.Environment.CumulativeReward.sum": {
143
+ "value": 234.3399979993701,
144
+ "min": -32.000001668930054,
145
+ "max": 251.8519984483719,
146
+ "count": 100
147
+ },
148
+ "Pyramids.Policy.ExtrinsicReward.mean": {
149
+ "value": 1.761954872175715,
150
+ "min": -1.0000000521540642,
151
+ "max": 1.7871785570468222,
152
+ "count": 100
153
+ },
154
+ "Pyramids.Policy.ExtrinsicReward.sum": {
155
+ "value": 234.3399979993701,
156
+ "min": -32.000001668930054,
157
+ "max": 251.8519984483719,
158
+ "count": 100
159
+ },
160
+ "Pyramids.Policy.RndReward.mean": {
161
+ "value": 0.019676849928105082,
162
+ "min": 0.017501125833372988,
163
+ "max": 15.005290312692523,
164
+ "count": 100
165
+ },
166
+ "Pyramids.Policy.RndReward.sum": {
167
+ "value": 2.617021040437976,
168
+ "min": 2.4676587425055914,
169
+ "max": 240.08464500308037,
170
+ "count": 100
171
+ },
172
+ "Pyramids.IsTraining.mean": {
173
+ "value": 1.0,
174
+ "min": 1.0,
175
+ "max": 1.0,
176
+ "count": 100
177
+ },
178
+ "Pyramids.IsTraining.sum": {
179
+ "value": 1.0,
180
+ "min": 1.0,
181
+ "max": 1.0,
182
+ "count": 100
183
+ }
184
+ },
185
+ "metadata": {
186
+ "timer_format_version": "0.1.0",
187
+ "start_time_seconds": "1712438014",
188
+ "python_version": "3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]",
189
+ "command_line_arguments": "/home/joeny/.local/bin/mlagents-learn ./ml-agents/config/ppo/PyramidsRND.yaml --env=trained-envs-executables/linux/Pyramids/Pyramids --run-id=Pyramids Training --no-graphics",
190
+ "mlagents_version": "1.1.0.dev0",
191
+ "mlagents_envs_version": "1.1.0.dev0",
192
+ "communication_protocol_version": "1.5.0",
193
+ "pytorch_version": "2.2.1+cu121",
194
+ "numpy_version": "1.23.5",
195
+ "end_time_seconds": "1712441530"
196
+ },
197
+ "total": 3516.1791991659993,
198
+ "count": 1,
199
+ "self": 0.2688839359998383,
200
+ "children": {
201
+ "run_training.setup": {
202
+ "total": 0.03330624399950466,
203
+ "count": 1,
204
+ "self": 0.03330624399950466
205
+ },
206
+ "TrainerController.start_learning": {
207
+ "total": 3515.877008986,
208
+ "count": 1,
209
+ "self": 3.147021408013643,
210
+ "children": {
211
+ "TrainerController._reset_env": {
212
+ "total": 1.5705331240005762,
213
+ "count": 1,
214
+ "self": 1.5705331240005762
215
+ },
216
+ "TrainerController.advance": {
217
+ "total": 3511.0439016629844,
218
+ "count": 194833,
219
+ "self": 3.0325700815346863,
220
+ "children": {
221
+ "env_step": {
222
+ "total": 2382.5480493187533,
223
+ "count": 194833,
224
+ "self": 2118.9429423037627,
225
+ "children": {
226
+ "SubprocessEnvManager._take_step": {
227
+ "total": 261.4096492479948,
228
+ "count": 194833,
229
+ "self": 8.231087012253738,
230
+ "children": {
231
+ "TorchPolicy.evaluate": {
232
+ "total": 253.17856223574108,
233
+ "count": 187554,
234
+ "self": 253.17856223574108
235
+ }
236
+ }
237
+ },
238
+ "workers": {
239
+ "total": 2.195457766995787,
240
+ "count": 194833,
241
+ "self": 0.0,
242
+ "children": {
243
+ "worker_root": {
244
+ "total": 3511.8801136623697,
245
+ "count": 194833,
246
+ "is_parallel": true,
247
+ "self": 1610.1382468191578,
248
+ "children": {
249
+ "run_training.setup": {
250
+ "total": 0.0,
251
+ "count": 0,
252
+ "is_parallel": true,
253
+ "self": 0.0,
254
+ "children": {
255
+ "steps_from_proto": {
256
+ "total": 0.0011475289993541082,
257
+ "count": 1,
258
+ "is_parallel": true,
259
+ "self": 0.000341423000463692,
260
+ "children": {
261
+ "_process_rank_one_or_two_observation": {
262
+ "total": 0.0008061059988904162,
263
+ "count": 8,
264
+ "is_parallel": true,
265
+ "self": 0.0008061059988904162
266
+ }
267
+ }
268
+ },
269
+ "UnityEnvironment.step": {
270
+ "total": 0.0254131720002988,
271
+ "count": 1,
272
+ "is_parallel": true,
273
+ "self": 0.0005840149988216581,
274
+ "children": {
275
+ "UnityEnvironment._generate_step_input": {
276
+ "total": 0.00019179200080543524,
277
+ "count": 1,
278
+ "is_parallel": true,
279
+ "self": 0.00019179200080543524
280
+ },
281
+ "communicator.exchange": {
282
+ "total": 0.023148442000092473,
283
+ "count": 1,
284
+ "is_parallel": true,
285
+ "self": 0.023148442000092473
286
+ },
287
+ "steps_from_proto": {
288
+ "total": 0.0014889230005792342,
289
+ "count": 1,
290
+ "is_parallel": true,
291
+ "self": 0.0002428700017844676,
292
+ "children": {
293
+ "_process_rank_one_or_two_observation": {
294
+ "total": 0.0012460529987947666,
295
+ "count": 8,
296
+ "is_parallel": true,
297
+ "self": 0.0012460529987947666
298
+ }
299
+ }
300
+ }
301
+ }
302
+ }
303
+ }
304
+ },
305
+ "UnityEnvironment.step": {
306
+ "total": 1901.741866843212,
307
+ "count": 194832,
308
+ "is_parallel": true,
309
+ "self": 61.07512853609114,
310
+ "children": {
311
+ "UnityEnvironment._generate_step_input": {
312
+ "total": 32.398689086351624,
313
+ "count": 194832,
314
+ "is_parallel": true,
315
+ "self": 32.398689086351624
316
+ },
317
+ "communicator.exchange": {
318
+ "total": 1653.8236376497634,
319
+ "count": 194832,
320
+ "is_parallel": true,
321
+ "self": 1653.8236376497634
322
+ },
323
+ "steps_from_proto": {
324
+ "total": 154.44441157100573,
325
+ "count": 194832,
326
+ "is_parallel": true,
327
+ "self": 31.70061374753186,
328
+ "children": {
329
+ "_process_rank_one_or_two_observation": {
330
+ "total": 122.74379782347387,
331
+ "count": 1558656,
332
+ "is_parallel": true,
333
+ "self": 122.74379782347387
334
+ }
335
+ }
336
+ }
337
+ }
338
+ }
339
+ }
340
+ }
341
+ }
342
+ }
343
+ }
344
+ },
345
+ "trainer_advance": {
346
+ "total": 1125.4632822626963,
347
+ "count": 194833,
348
+ "self": 5.892573370757418,
349
+ "children": {
350
+ "process_trajectory": {
351
+ "total": 220.0148202569244,
352
+ "count": 194833,
353
+ "self": 219.5871394479209,
354
+ "children": {
355
+ "RLTrainer._checkpoint": {
356
+ "total": 0.4276808090035047,
357
+ "count": 6,
358
+ "self": 0.4276808090035047
359
+ }
360
+ }
361
+ },
362
+ "_update_policy": {
363
+ "total": 899.5558886350145,
364
+ "count": 1392,
365
+ "self": 520.4894827230446,
366
+ "children": {
367
+ "TorchPPOOptimizer.update": {
368
+ "total": 379.0664059119699,
369
+ "count": 68403,
370
+ "self": 379.0664059119699
371
+ }
372
+ }
373
+ }
374
+ }
375
+ }
376
+ }
377
+ },
378
+ "trainer_threads": {
379
+ "total": 5.830006557516754e-07,
380
+ "count": 1,
381
+ "self": 5.830006557516754e-07
382
+ },
383
+ "TrainerController._save_models": {
384
+ "total": 0.11555220800073585,
385
+ "count": 1,
386
+ "self": 0.0009456030020373873,
387
+ "children": {
388
+ "RLTrainer._checkpoint": {
389
+ "total": 0.11460660499869846,
390
+ "count": 1,
391
+ "self": 0.11460660499869846
392
+ }
393
+ }
394
+ }
395
+ }
396
+ }
397
+ }
398
+ }
run_logs/training_status.json ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "Pyramids": {
3
+ "checkpoints": [
4
+ {
5
+ "steps": 1499969,
6
+ "file_path": "results/Pyramids Training/Pyramids/Pyramids-1499969.onnx",
7
+ "reward": 1.817727255550298,
8
+ "creation_time": 1712439723.3151164,
9
+ "auxillary_file_paths": [
10
+ "results/Pyramids Training/Pyramids/Pyramids-1499969.pt"
11
+ ]
12
+ },
13
+ {
14
+ "steps": 1999943,
15
+ "file_path": "results/Pyramids Training/Pyramids/Pyramids-1999943.onnx",
16
+ "reward": 1.7869999557733536,
17
+ "creation_time": 1712440320.4849904,
18
+ "auxillary_file_paths": [
19
+ "results/Pyramids Training/Pyramids/Pyramids-1999943.pt"
20
+ ]
21
+ },
22
+ {
23
+ "steps": 2499990,
24
+ "file_path": "results/Pyramids Training/Pyramids/Pyramids-2499990.onnx",
25
+ "reward": 1.803555558125178,
26
+ "creation_time": 1712440926.0802062,
27
+ "auxillary_file_paths": [
28
+ "results/Pyramids Training/Pyramids/Pyramids-2499990.pt"
29
+ ]
30
+ },
31
+ {
32
+ "steps": 2999995,
33
+ "file_path": "results/Pyramids Training/Pyramids/Pyramids-2999995.onnx",
34
+ "reward": 1.8155000042170286,
35
+ "creation_time": 1712441530.4176033,
36
+ "auxillary_file_paths": [
37
+ "results/Pyramids Training/Pyramids/Pyramids-2999995.pt"
38
+ ]
39
+ },
40
+ {
41
+ "steps": 3000093,
42
+ "file_path": "results/Pyramids Training/Pyramids/Pyramids-3000093.onnx",
43
+ "reward": 1.8252222256528006,
44
+ "creation_time": 1712441530.5386484,
45
+ "auxillary_file_paths": [
46
+ "results/Pyramids Training/Pyramids/Pyramids-3000093.pt"
47
+ ]
48
+ }
49
+ ],
50
+ "final_checkpoint": {
51
+ "steps": 3000093,
52
+ "file_path": "results/Pyramids Training/Pyramids.onnx",
53
+ "reward": 1.8252222256528006,
54
+ "creation_time": 1712441530.5386484,
55
+ "auxillary_file_paths": [
56
+ "results/Pyramids Training/Pyramids/Pyramids-3000093.pt"
57
+ ]
58
+ }
59
+ },
60
+ "metadata": {
61
+ "stats_format_version": "0.3.0",
62
+ "mlagents_version": "1.1.0.dev0",
63
+ "torch_version": "2.2.1+cu121"
64
+ }
65
+ }