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  1. README.md +35 -0
  2. SoccerTwos.onnx +3 -0
  3. SoccerTwos/SoccerTwos-13999682.onnx +3 -0
  4. SoccerTwos/SoccerTwos-13999682.pt +3 -0
  5. SoccerTwos/SoccerTwos-14499392.onnx +3 -0
  6. SoccerTwos/SoccerTwos-14499392.pt +3 -0
  7. SoccerTwos/SoccerTwos-14999288.onnx +3 -0
  8. SoccerTwos/SoccerTwos-14999288.pt +3 -0
  9. SoccerTwos/SoccerTwos-15499738.onnx +3 -0
  10. SoccerTwos/SoccerTwos-15499738.pt +3 -0
  11. SoccerTwos/SoccerTwos-15931076.onnx +3 -0
  12. SoccerTwos/SoccerTwos-15931076.pt +3 -0
  13. SoccerTwos/SoccerTwos-39499810.onnx +3 -0
  14. SoccerTwos/SoccerTwos-39499810.pt +3 -0
  15. SoccerTwos/SoccerTwos-39999966.onnx +3 -0
  16. SoccerTwos/SoccerTwos-39999966.pt +3 -0
  17. SoccerTwos/SoccerTwos-40499980.onnx +3 -0
  18. SoccerTwos/SoccerTwos-40499980.pt +3 -0
  19. SoccerTwos/SoccerTwos-40999948.onnx +3 -0
  20. SoccerTwos/SoccerTwos-40999948.pt +3 -0
  21. SoccerTwos/SoccerTwos-41003866.onnx +3 -0
  22. SoccerTwos/SoccerTwos-41003866.pt +3 -0
  23. SoccerTwos/SoccerTwos-6499990.onnx +3 -0
  24. SoccerTwos/SoccerTwos-6499990.pt +3 -0
  25. SoccerTwos/SoccerTwos-6999976.onnx +3 -0
  26. SoccerTwos/SoccerTwos-6999976.pt +3 -0
  27. SoccerTwos/SoccerTwos-7499944.onnx +3 -0
  28. SoccerTwos/SoccerTwos-7499944.pt +3 -0
  29. SoccerTwos/SoccerTwos-7999953.onnx +3 -0
  30. SoccerTwos/SoccerTwos-7999953.pt +3 -0
  31. SoccerTwos/SoccerTwos-8248438.onnx +3 -0
  32. SoccerTwos/SoccerTwos-8248438.pt +3 -0
  33. SoccerTwos/checkpoint.pt +3 -0
  34. SoccerTwos/events.out.tfevents.1718818670.DESKTOP-HULMNCC.138772.0 +3 -0
  35. config.json +1 -0
  36. configuration.yaml +84 -0
  37. run_logs/Player-0.log +922 -0
  38. run_logs/timers.json +368 -0
  39. run_logs/training_status.json +66 -0
README.md ADDED
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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: Firemedic15/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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+
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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": 400000, "swap_steps": 5000, "window": 10, "play_against_latest_model_ratio": 0.5, "initial_elo": 1200.0}, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/SoccerTwos.exe", "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": "SoccerTwos", "initialize_from": null, "load_model": false, "resume": false, "force": true, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
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+ default_settings: null
2
+ behaviors:
3
+ SoccerTwos:
4
+ trainer_type: poca
5
+ hyperparameters:
6
+ batch_size: 2048
7
+ buffer_size: 20480
8
+ learning_rate: 0.0003
9
+ beta: 0.005
10
+ epsilon: 0.2
11
+ lambd: 0.95
12
+ num_epoch: 3
13
+ learning_rate_schedule: constant
14
+ beta_schedule: constant
15
+ epsilon_schedule: constant
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+ checkpoint_interval: 500000
17
+ network_settings:
18
+ normalize: false
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+ hidden_units: 512
20
+ num_layers: 2
21
+ vis_encode_type: simple
22
+ memory: null
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+ goal_conditioning_type: hyper
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+ deterministic: false
25
+ reward_signals:
26
+ extrinsic:
27
+ gamma: 0.99
28
+ strength: 1.0
29
+ network_settings:
30
+ normalize: false
31
+ hidden_units: 128
32
+ num_layers: 2
33
+ 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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+ init_path: null
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+ keep_checkpoints: 5
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+ even_checkpoints: false
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+ max_steps: 50000000
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+ time_horizon: 1000
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+ summary_freq: 10000
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+ threaded: false
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+ self_play:
45
+ save_steps: 50000
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+ team_change: 400000
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+ swap_steps: 5000
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+ window: 10
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+ play_against_latest_model_ratio: 0.5
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+ initial_elo: 1200.0
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+ behavioral_cloning: null
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+ env_settings:
53
+ env_path: ./training-envs-executables/SoccerTwos.exe
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+ env_args: null
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+ base_port: 5005
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+ num_envs: 1
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+ num_areas: 1
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+ timeout_wait: 60
59
+ seed: -1
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+ max_lifetime_restarts: 10
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+ restarts_rate_limit_n: 1
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+ restarts_rate_limit_period_s: 60
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+ engine_settings:
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+ width: 84
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+ height: 84
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+ quality_level: 5
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+ time_scale: 20
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+ target_frame_rate: -1
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+ capture_frame_rate: 60
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+ no_graphics: true
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+ no_graphics_monitor: false
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+ environment_parameters: null
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+ checkpoint_settings:
74
+ run_id: SoccerTwos
75
+ initialize_from: null
76
+ load_model: false
77
+ resume: false
78
+ force: true
79
+ train_model: false
80
+ inference: false
81
+ results_dir: results
82
+ torch_settings:
83
+ device: null
84
+ debug: false
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+ Mono path[0] = 'C:/Users/wvfir/Desktop/hfcode/.venv/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos_Data/Managed'
2
+ Mono config path = 'C:/Users/wvfir/Desktop/hfcode/.venv/ml-agents/training-envs-executables/SoccerTwos/MonoBleedingEdge/etc'
3
+ Initialize engine version: 2021.3.14f1 (eee1884e7226)
4
+ [Subsystems] Discovering subsystems at path C:/Users/wvfir/Desktop/hfcode/.venv/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos_Data/UnitySubsystems
5
+ Forcing GfxDevice: Null
6
+ GfxDevice: creating device client; threaded=0; jobified=0
7
+ NullGfxDevice:
8
+ Version: NULL 1.0 [1.0]
9
+ Renderer: Null Device
10
+ Vendor: Unity Technologies
11
+ Begin MonoManager ReloadAssembly
12
+ - Completed reload, in 0.063 seconds
13
+ ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
14
+ Microsoft Media Foundation video decoding to texture disabled: graphics device is Null, only Direct3D 11 and Direct3D 12 (only on desktop) are supported for hardware-accelerated video decoding.
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
+ 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
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
23
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
24
+ WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
25
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
26
+ 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
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
38
+ UnloadTime: 0.463000 ms
39
+ Registered Communicator in Agent.
40
+ ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
41
+ TOO LONG
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560
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561
+ Setting up 16 worker threads for Enlighten.
562
+ Memory Statistics:
563
+ [ALLOC_TEMP_TLS] TLS Allocator
564
+ StackAllocators :
565
+ [ALLOC_TEMP_MAIN]
566
+ Peak usage frame count: [8.0 KB-16.0 KB]: 770622 frames, [2.0 MB-4.0 MB]: 1 frames
567
+ Initial Block Size 4.0 MB
568
+ Current Block Size 4.0 MB
569
+ Peak Allocated Bytes 2.0 MB
570
+ Overflow Count 0
571
+ [ALLOC_TEMP_Job.Worker 18]
572
+ Initial Block Size 256.0 KB
573
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574
+ Peak Allocated Bytes 54 B
575
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576
+ [ALLOC_TEMP_Loading.PreloadManager]
577
+ Initial Block Size 256.0 KB
578
+ Current Block Size 256.0 KB
579
+ Peak Allocated Bytes 68.0 KB
580
+ Overflow Count 4
581
+ [ALLOC_TEMP_Background Job.Worker 8]
582
+ Initial Block Size 32.0 KB
583
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584
+ Peak Allocated Bytes 54 B
585
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586
+ [ALLOC_TEMP_Background Job.Worker 10]
587
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588
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589
+ Peak Allocated Bytes 54 B
590
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591
+ [ALLOC_TEMP_Job.Worker 16]
592
+ Initial Block Size 256.0 KB
593
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594
+ Peak Allocated Bytes 54 B
595
+ Overflow Count 0
596
+ [ALLOC_TEMP_Background Job.Worker 6]
597
+ Initial Block Size 32.0 KB
598
+ Current Block Size 32.0 KB
599
+ Peak Allocated Bytes 54 B
600
+ Overflow Count 0
601
+ [ALLOC_TEMP_Job.Worker 4]
602
+ Initial Block Size 256.0 KB
603
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604
+ Peak Allocated Bytes 0 B
605
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606
+ [ALLOC_TEMP_Job.Worker 27]
607
+ Initial Block Size 256.0 KB
608
+ Current Block Size 256.0 KB
609
+ Peak Allocated Bytes 54 B
610
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611
+ [ALLOC_TEMP_Job.Worker 17]
612
+ Initial Block Size 256.0 KB
613
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614
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615
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616
+ [ALLOC_TEMP_Job.Worker 14]
617
+ Initial Block Size 256.0 KB
618
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619
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620
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621
+ [ALLOC_TEMP_Job.Worker 3]
622
+ Initial Block Size 256.0 KB
623
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624
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625
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626
+ [ALLOC_TEMP_Background Job.Worker 12]
627
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628
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629
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630
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631
+ [ALLOC_TEMP_Background Job.Worker 1]
632
+ Initial Block Size 32.0 KB
633
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634
+ Peak Allocated Bytes 54 B
635
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+ [ALLOC_TEMP_AssetGarbageCollectorHelper] x 31
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638
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639
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640
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642
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643
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644
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645
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647
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648
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649
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650
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+ [ALLOC_TEMP_Background Job.Worker 11]
652
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653
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654
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655
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+ [ALLOC_TEMP_Job.Worker 2]
657
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658
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659
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660
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+ [ALLOC_TEMP_Background Job.Worker 3]
662
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663
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664
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665
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+ [ALLOC_TEMP_Background Job.Worker 0]
667
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668
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669
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670
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672
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673
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674
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675
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677
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678
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679
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680
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682
+ Initial Block Size 32.0 KB
683
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684
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685
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+ [ALLOC_TEMP_BatchDeleteObjects]
687
+ Initial Block Size 64.0 KB
688
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689
+ Peak Allocated Bytes 54 B
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+ [ALLOC_TEMP_Job.Worker 30]
692
+ Initial Block Size 256.0 KB
693
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+ [ALLOC_TEMP_Job.Worker 0]
702
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703
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704
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+ [ALLOC_TEMP_Job.Worker 21]
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708
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713
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718
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+ [ALLOC_TEMP_Job.Worker 29]
737
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738
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