davera-017
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Browse files- README.md +35 -0
- SoccerTwos.onnx +3 -0
- SoccerTwos/SoccerTwos-1499672.onnx +3 -0
- SoccerTwos/SoccerTwos-1499672.pt +3 -0
- SoccerTwos/SoccerTwos-1999108.onnx +3 -0
- SoccerTwos/SoccerTwos-1999108.pt +3 -0
- SoccerTwos/SoccerTwos-2499981.onnx +3 -0
- SoccerTwos/SoccerTwos-2499981.pt +3 -0
- SoccerTwos/SoccerTwos-3999986.onnx +3 -0
- SoccerTwos/SoccerTwos-3999986.pt +3 -0
- SoccerTwos/SoccerTwos-4392577.onnx +3 -0
- SoccerTwos/SoccerTwos-4392577.pt +3 -0
- SoccerTwos/SoccerTwos-4499915.onnx +3 -0
- SoccerTwos/SoccerTwos-4499915.pt +3 -0
- SoccerTwos/SoccerTwos-499946.onnx +3 -0
- SoccerTwos/SoccerTwos-499946.pt +3 -0
- SoccerTwos/SoccerTwos-4999977.onnx +3 -0
- SoccerTwos/SoccerTwos-4999977.pt +3 -0
- SoccerTwos/SoccerTwos-5143130.onnx +3 -0
- SoccerTwos/SoccerTwos-5143130.pt +3 -0
- SoccerTwos/SoccerTwos-999602.onnx +3 -0
- SoccerTwos/SoccerTwos-999602.pt +3 -0
- SoccerTwos/checkpoint.pt +3 -0
- SoccerTwos/events.out.tfevents.1693952303.FACTORED-V9QHJ0WC4G.81420.0 +3 -0
- SoccerTwos/events.out.tfevents.1693952956.FACTORED-V9QHJ0WC4G.81732.0 +3 -0
- SoccerTwos/events.out.tfevents.1694017726.FACTORED-V9QHJ0WC4G.6550.0 +3 -0
- SoccerTwos/events.out.tfevents.1694193449.FACTORED-V9QHJ0WC4G.5009.0 +3 -0
- SoccerTwos/events.out.tfevents.1694201910.FACTORED-V9QHJ0WC4G.6018.0 +3 -0
- SoccerTwos/events.out.tfevents.1694529760.FACTORED-V9QHJ0WC4G.40209.0 +3 -0
- config.json +1 -0
- configuration.yaml +82 -0
- run_logs/Player-0.log +287 -0
- run_logs/timers.json +368 -0
- run_logs/training_status.json +66 -0
README.md
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---
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library_name: ml-agents
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tags:
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- SoccerTwos
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- deep-reinforcement-learning
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- reinforcement-learning
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- ML-Agents-SoccerTwos
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---
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# **poca** Agent playing **SoccerTwos**
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This is a trained model of a **poca** agent playing **SoccerTwos**
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using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
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## Usage (with ML-Agents)
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The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
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We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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- A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
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browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
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- A *longer tutorial* to understand how works ML-Agents:
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https://huggingface.co/learn/deep-rl-course/unit5/introduction
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### Resume the training
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```bash
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mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
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```
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### Watch your Agent play
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You can watch your agent **playing directly in your browser**
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1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
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2. Step 1: Find your model_id: davera-017/poca-SoccerTwos
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3. Step 2: Select your *.nn /*.onnx file
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4. Click on Watch the agent play 👀
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SoccerTwos.onnx
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size 1764633
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SoccerTwos/SoccerTwos-1499672.onnx
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SoccerTwos/SoccerTwos-1499672.pt
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config.json
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{"default_settings": null, "behaviors": {"SoccerTwos": {"trainer_type": "poca", "hyperparameters": {"batch_size": 2048, "buffer_size": 20480, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "learning_rate_schedule": "constant", "beta_schedule": "constant", "epsilon_schedule": "constant"}, "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}}}, "init_path": null, "keep_checkpoints": 5, "even_checkpoints": false, "max_steps": 50000000, "time_horizon": 1000, "summary_freq": 10000, "threaded": false, "self_play": {"save_steps": 50000, "team_change": 200000, "swap_steps": 2000, "window": 10, "play_against_latest_model_ratio": 0.5, "initial_elo": 1200.0}, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/SoccerTwos/SoccerTwos.app", "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": "SoccerTwos", "initialize_from": null, "load_model": false, "resume": true, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
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configuration.yaml
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default_settings: null
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behaviors:
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SoccerTwos:
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trainer_type: poca
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hyperparameters:
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batch_size: 2048
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buffer_size: 20480
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learning_rate: 0.0003
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beta: 0.005
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epsilon: 0.2
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lambd: 0.95
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num_epoch: 3
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learning_rate_schedule: constant
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beta_schedule: constant
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epsilon_schedule: constant
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checkpoint_interval: 500000
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network_settings:
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normalize: false
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hidden_units: 512
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num_layers: 2
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vis_encode_type: simple
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memory: null
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goal_conditioning_type: hyper
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deterministic: false
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reward_signals:
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extrinsic:
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gamma: 0.99
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strength: 1.0
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network_settings:
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normalize: false
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hidden_units: 128
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num_layers: 2
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vis_encode_type: simple
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memory: null
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35 |
+
goal_conditioning_type: hyper
|
36 |
+
deterministic: false
|
37 |
+
init_path: null
|
38 |
+
keep_checkpoints: 5
|
39 |
+
even_checkpoints: false
|
40 |
+
max_steps: 50000000
|
41 |
+
time_horizon: 1000
|
42 |
+
summary_freq: 10000
|
43 |
+
threaded: false
|
44 |
+
self_play:
|
45 |
+
save_steps: 50000
|
46 |
+
team_change: 200000
|
47 |
+
swap_steps: 2000
|
48 |
+
window: 10
|
49 |
+
play_against_latest_model_ratio: 0.5
|
50 |
+
initial_elo: 1200.0
|
51 |
+
behavioral_cloning: null
|
52 |
+
env_settings:
|
53 |
+
env_path: ./training-envs-executables/SoccerTwos/SoccerTwos.app
|
54 |
+
env_args: null
|
55 |
+
base_port: 5005
|
56 |
+
num_envs: 1
|
57 |
+
num_areas: 1
|
58 |
+
seed: -1
|
59 |
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max_lifetime_restarts: 10
|
60 |
+
restarts_rate_limit_n: 1
|
61 |
+
restarts_rate_limit_period_s: 60
|
62 |
+
engine_settings:
|
63 |
+
width: 84
|
64 |
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height: 84
|
65 |
+
quality_level: 5
|
66 |
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time_scale: 20
|
67 |
+
target_frame_rate: -1
|
68 |
+
capture_frame_rate: 60
|
69 |
+
no_graphics: true
|
70 |
+
environment_parameters: null
|
71 |
+
checkpoint_settings:
|
72 |
+
run_id: SoccerTwos
|
73 |
+
initialize_from: null
|
74 |
+
load_model: false
|
75 |
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resume: true
|
76 |
+
force: false
|
77 |
+
train_model: false
|
78 |
+
inference: false
|
79 |
+
results_dir: results
|
80 |
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torch_settings:
|
81 |
+
device: null
|
82 |
+
debug: false
|
run_logs/Player-0.log
ADDED
@@ -0,0 +1,287 @@
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|
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|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
1 |
+
Mono path[0] = '/Users/aver_aver/Documents/Factored/rl_seminar/hugging-face-deep-rl/unit7-multi-agent/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos.app/Contents/Resources/Data/Managed'
|
2 |
+
Mono config path = '/Users/aver_aver/Documents/Factored/rl_seminar/hugging-face-deep-rl/unit7-multi-agent/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos.app/Contents/MonoBleedingEdge/etc'
|
3 |
+
New input system (experimental) initialized
|
4 |
+
Initialize engine version: 2021.3.17f1 (3e8111cac19d)
|
5 |
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[Subsystems] Discovering subsystems at path /Users/aver_aver/Documents/Factored/rl_seminar/hugging-face-deep-rl/unit7-multi-agent/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos.app/Contents/Resources/Data/UnitySubsystems
|
6 |
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Forcing GfxDevice: Null
|
7 |
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GfxDevice: creating device client; threaded=0; jobified=0
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8 |
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NullGfxDevice:
|
9 |
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Version: NULL 1.0 [1.0]
|
10 |
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Renderer: Null Device
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11 |
+
Vendor: Unity Technologies
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12 |
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Begin MonoManager ReloadAssembly
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13 |
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- Completed reload, in 0.225 seconds
|
14 |
+
ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
15 |
+
ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
16 |
+
ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
17 |
+
WARNING: Shader Unsupported: 'Standard (Specular setup)' - All subshaders removed
|
18 |
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WARNING: Shader Did you use #pragma only_renderers and omit this platform?
|
19 |
+
WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
|
20 |
+
ERROR: Shader Standard (Specular setup) shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
21 |
+
WARNING: Shader Unsupported: 'Standard (Specular setup)' - All subshaders removed
|
22 |
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WARNING: Shader Did you use #pragma only_renderers and omit this platform?
|
23 |
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WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
|
24 |
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WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
|
25 |
+
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
|
26 |
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WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
|
27 |
+
ERROR: Shader Autodesk Interactive shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
28 |
+
WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
|
29 |
+
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
|
30 |
+
WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
|
31 |
+
WARNING: Shader Unsupported: 'Standard' - All subshaders removed
|
32 |
+
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
|
33 |
+
WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
|
34 |
+
ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
35 |
+
WARNING: Shader Unsupported: 'Standard' - All subshaders removed
|
36 |
+
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
|
37 |
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WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
|
38 |
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UnloadTime: 2.524083 ms
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39 |
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Registered Communicator in Agent.
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40 |
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ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
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41 |
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Setting up 4 worker threads for Enlighten.
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42 |
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Memory Statistics:
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43 |
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[ALLOC_TEMP_TLS] TLS Allocator
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44 |
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StackAllocators :
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45 |
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[ALLOC_TEMP_MAIN]
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Initial Block Size 4.0 MB
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Current Block Size 4.0 MB
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Peak Allocated Bytes 2.1 MB
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Overflow Count 0
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[ALLOC_TEMP_Loading.AsyncRead]
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Initial Block Size 64.0 KB
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Current Block Size 64.0 KB
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Peak Allocated Bytes 198 B
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Overflow Count 0
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[ALLOC_TEMP_Loading.PreloadManager]
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Initial Block Size 256.0 KB
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Current Block Size 256.0 KB
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Peak Allocated Bytes 78.9 KB
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Overflow Count 4
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[ALLOC_TEMP_Background Job.Worker 8]
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Peak Allocated Bytes 0 B
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[ALLOC_TEMP_Job.Worker 6]
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Current Block Size 256.0 KB
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[ALLOC_TEMP_EnlightenWorker] x 4
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Requested Block Size 16.0 MB
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Large Block size 4.0 MB
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run_logs/training_status.json
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@@ -0,0 +1,66 @@
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