train the model #2
Browse files- SoccerTwos.onnx +3 -0
- SoccerTwos/SoccerTwos-2156.onnx +3 -0
- SoccerTwos/SoccerTwos-2156.pt +3 -0
- SoccerTwos/checkpoint.pt +3 -0
- SoccerTwos/events.out.tfevents.1714020328.1d82741dfecd.1932.0 +3 -0
- config.json +1 -1
- configuration.yaml +2 -2
- run_logs/Player-0.log +287 -0
- run_logs/timers.json +165 -15
- run_logs/training_status.json +24 -1
SoccerTwos.onnx
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:f48ccdbcb2d4c9c0ef28a359e2b349aaca099512b72a4614e784111f989f8c94
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+
size 1766876
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SoccerTwos/SoccerTwos-2156.onnx
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:f48ccdbcb2d4c9c0ef28a359e2b349aaca099512b72a4614e784111f989f8c94
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size 1766876
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SoccerTwos/SoccerTwos-2156.pt
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:55bd5efa48e1daee656db6868391770291bc3e48978a7055b13d3455ca7de2a6
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size 9479914
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SoccerTwos/checkpoint.pt
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:4f55560344a9a95973b0e62bcc8df285f19da52b2e72af3c55d5a0d0ba64f463
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+
size 9479714
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SoccerTwos/events.out.tfevents.1714020328.1d82741dfecd.1932.0
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:f06fda15105d48d68bb30b4b599d047d055459fc3ef8e4a578169855c975cd50
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+
size 1237
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config.json
CHANGED
@@ -1 +1 @@
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-
{"default_settings": null, "behaviors": {"SoccerTwos": {"trainer_type": "poca", "hyperparameters": {"batch_size":
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{"default_settings": null, "behaviors": {"SoccerTwos": {"trainer_type": "poca", "hyperparameters": {"batch_size": 8192, "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": 1000, "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.x86_64", "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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configuration.yaml
CHANGED
@@ -3,7 +3,7 @@ behaviors:
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SoccerTwos:
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trainer_type: poca
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hyperparameters:
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-
batch_size:
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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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@@ -37,7 +37,7 @@ behaviors:
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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:
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time_horizon: 1000
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summary_freq: 10000
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threaded: false
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SoccerTwos:
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trainer_type: poca
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hyperparameters:
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+
batch_size: 8192
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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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init_path: null
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keep_checkpoints: 5
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even_checkpoints: false
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+
max_steps: 1000
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time_horizon: 1000
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summary_freq: 10000
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threaded: false
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run_logs/Player-0.log
ADDED
@@ -0,0 +1,287 @@
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Mono path[0] = '/kaggle/working/ml-agents/training-envs-executables/SoccerTwos_Data/Managed'
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Mono config path = '/kaggle/working/ml-agents/training-envs-executables/SoccerTwos_Data/MonoBleedingEdge/etc'
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Preloaded 'lib_burst_generated.so'
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Preloaded 'libgrpc_csharp_ext.x64.so'
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PlayerPrefs - Creating folder: /root/.config/unity3d/Unity Technologies
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PlayerPrefs - Creating folder: /root/.config/unity3d/Unity Technologies/SoccerTwos
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Unable to load player prefs
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Initialize engine version: 2021.3.14f1 (eee1884e7226)
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[Subsystems] Discovering subsystems at path /kaggle/working/ml-agents/training-envs-executables/SoccerTwos_Data/UnitySubsystems
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+
Forcing GfxDevice: Null
|
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+
GfxDevice: creating device client; threaded=0; jobified=0
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NullGfxDevice:
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Version: NULL 1.0 [1.0]
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Renderer: Null Device
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Vendor: Unity Technologies
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+
ALSA lib confmisc.c:767:(parse_card) cannot find card '0'
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ALSA lib conf.c:4732:(_snd_config_evaluate) function snd_func_card_driver returned error: No such file or directory
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+
ALSA lib confmisc.c:392:(snd_func_concat) error evaluating strings
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+
ALSA lib conf.c:4732:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
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+
ALSA lib confmisc.c:1246:(snd_func_refer) error evaluating name
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+
ALSA lib conf.c:4732:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
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ALSA lib conf.c:5220:(snd_config_expand) Evaluate error: No such file or directory
|
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+
ALSA lib pcm.c:2642:(snd_pcm_open_noupdate) Unknown PCM default
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FMOD failed to initialize the output device.: "Error initializing output device. " (60)
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Forced to initialize FMOD to to the device driver's system output rate 48000, this may impact performance and/or give inconsistent experiences compared to selected sample rate 48000
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+
ALSA lib confmisc.c:767:(parse_card) cannot find card '0'
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+
ALSA lib conf.c:4732:(_snd_config_evaluate) function snd_func_card_driver returned error: No such file or directory
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+
ALSA lib confmisc.c:392:(snd_func_concat) error evaluating strings
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+
ALSA lib conf.c:4732:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
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+
ALSA lib confmisc.c:1246:(snd_func_refer) error evaluating name
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+
ALSA lib conf.c:4732:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
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+
ALSA lib conf.c:5220:(snd_config_expand) Evaluate error: No such file or directory
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+
ALSA lib pcm.c:2642:(snd_pcm_open_noupdate) Unknown PCM default
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+
FMOD failed to initialize the output device.: "Error initializing output device. " (60)
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FMOD initialized on nosound output
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+
Begin MonoManager ReloadAssembly
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+
- Completed reload, in 0.105 seconds
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+
ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
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ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
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+
ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
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+
WARNING: Shader Unsupported: 'Standard (Specular setup)' - All subshaders removed
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+
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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+
WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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+
ERROR: Shader Standard (Specular setup) shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
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+
WARNING: Shader Unsupported: 'Standard (Specular setup)' - All subshaders removed
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+
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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+
WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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+
WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
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+
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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+
WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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+
ERROR: Shader Autodesk Interactive shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
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+
WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
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+
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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+
WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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+
WARNING: Shader Unsupported: 'Standard' - All subshaders removed
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+
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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+
WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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+
ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
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WARNING: Shader Unsupported: 'Standard' - All subshaders removed
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+
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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+
WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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+
UnloadTime: 0.873822 ms
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+
Registered Communicator in Agent.
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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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requesting resize 84 x 84
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Setting up 2 worker threads for Enlighten.
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Memory Statistics:
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[ALLOC_TEMP_TLS] TLS Allocator
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StackAllocators :
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[ALLOC_TEMP_MAIN]
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Peak usage frame count: [8.0 KB-16.0 KB]: 223 frames, [2.0 MB-4.0 MB]: 1 frames
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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 128 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 300.0 KB
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Peak Allocated Bytes 249.6 KB
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Overflow Count 4
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[ALLOC_TEMP_Background Job.Worker 8]
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Initial Block Size 32.0 KB
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Current Block Size 32.0 KB
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Peak Allocated Bytes 0 B
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Overflow Count 0
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[ALLOC_TEMP_Background Job.Worker 9]
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Initial Block Size 32.0 KB
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Current Block Size 32.0 KB
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Peak Allocated Bytes 0 B
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[ALLOC_TEMP_Job.Worker 0]
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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 0.7 KB
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Overflow Count 0
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[ALLOC_TEMP_Background Job.Worker 10]
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Initial Block Size 32.0 KB
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Initial Block Size 32.0 KB
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[ALLOC_TEMP_Background Job.Worker 6]
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[ALLOC_TEMP_EnlightenWorker] x 2
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Initial Block Size 64.0 KB
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Peak Allocated Bytes 0 B
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[ALLOC_TEMP_AssetGarbageCollectorHelper] x 3
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run_logs/training_status.json
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