Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use fanjiangpost/pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use fanjiangpost/pyramids with ml-agents:
mlagents-load-from-hf --repo-id="fanjiangpost/pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
commit
Browse files- Pyramids.onnx +1 -1
- Pyramids/Pyramids-200121.onnx +3 -0
- Pyramids/Pyramids-200121.pt +3 -0
- Pyramids/checkpoint.pt +1 -1
- Pyramids/events.out.tfevents.1782636913.ba684205ff41.15251.0 +3 -0
- Pyramids/events.out.tfevents.1782636951.ba684205ff41.15462.0 +3 -0
- config.json +1 -1
- configuration.yaml +3 -3
- run_logs/Player-0.log +9 -9
- run_logs/timers.json +151 -151
- run_logs/training_status.json +21 -3
Pyramids.onnx
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Pyramids/Pyramids-200121.onnx
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Pyramids/Pyramids-200121.pt
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Pyramids/checkpoint.pt
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Pyramids/events.out.tfevents.1782636913.ba684205ff41.15251.0
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Pyramids/events.out.tfevents.1782636951.ba684205ff41.15462.0
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version https://git-lfs.github.com/spec/v1
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size 13535
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config.json
CHANGED
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@@ -1 +1 @@
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| 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":
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+
{"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": 200000, "time_horizon": 128, "summary_freq": 30000, "threaded": false, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-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": true, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
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configuration.yaml
CHANGED
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@@ -51,7 +51,7 @@ 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: 128
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summary_freq: 30000
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threaded: false
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@@ -82,8 +82,8 @@ checkpoint_settings:
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run_id: Pyramids Training
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initialize_from: null
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load_model: false
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-
resume:
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force:
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train_model: false
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inference: false
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results_dir: results
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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: 200000
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time_horizon: 128
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summary_freq: 30000
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threaded: false
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run_id: Pyramids Training
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initialize_from: null
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load_model: false
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resume: true
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force: false
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train_model: false
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inference: false
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results_dir: results
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run_logs/Player-0.log
CHANGED
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Mono path[0] = '/content/ml-agents/training-envs-executables/linux/Pyramids/Pyramids_Data/Managed'
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Mono config path = '/content/ml-agents/training-envs-executables/linux/Pyramids/Pyramids_Data/MonoBleedingEdge/etc'
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Found 1 interfaces on host : 0) 172.28.0.12
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-
Multi-casting "[IP] 172.28.0.12 [Port]
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Preloaded 'lib_burst_generated.so'
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Preloaded 'libgrpc_csharp_ext.x64.so'
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Initialize engine version: 2021.3.5f1 (40eb3a945986)
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@@ -33,7 +33,7 @@ ALSA lib pcm.c:2664:(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.
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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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@@ -65,7 +65,7 @@ ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/f
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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.
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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 1 worker threads for Enlighten.
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@@ -78,7 +78,7 @@ PlayerConnection::CleanupMemory Statistics:
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Peak Allocated Bytes 0 B
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Overflow Count 0
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[ALLOC_TEMP_MAIN]
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Peak usage frame count: [16.0 KB-32.0 KB]:
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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 2.0 MB
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@@ -210,22 +210,22 @@ PlayerConnection::CleanupMemory Statistics:
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Peak Allocated memory 1.6 MB
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Peak Large allocation bytes 0 B
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[ALLOC_DEFAULT] Dual Thread Allocator
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-
Peak main deferred allocation count
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[ALLOC_BUCKET]
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Large Block size 4.0 MB
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Used Block count 1
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Peak Allocated bytes 1.7 MB
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[ALLOC_DEFAULT_MAIN]
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Peak usage frame count: [8.0 MB-16.0 MB]: 1 frames, [16.0 MB-32.0 MB]:
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Requested Block Size 16.0 MB
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Peak Block count 3
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-
Peak Allocated memory 32.
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Peak Large allocation bytes 0 B
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[ALLOC_DEFAULT_THREAD]
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Peak usage frame count: [16.0 MB-32.0 MB]: 1877 frames
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Requested Block Size 16.0 MB
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Peak Block count 1
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Peak Allocated memory 21.
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Peak Large allocation bytes 16.0 MB
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[ALLOC_TEMP_JOB_1_FRAME]
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@@ -311,4 +311,4 @@ PlayerConnection::CleanupMemory Statistics:
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Peak Allocated bytes 396 B
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##utp:{"type":"MemoryLeaks","version":2,"phase":"Immediate","time":
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Mono path[0] = '/content/ml-agents/training-envs-executables/linux/Pyramids/Pyramids_Data/Managed'
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Mono config path = '/content/ml-agents/training-envs-executables/linux/Pyramids/Pyramids_Data/MonoBleedingEdge/etc'
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Found 1 interfaces on host : 0) 172.28.0.12
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Multi-casting "[IP] 172.28.0.12 [Port] 55387 [Flags] 2 [Guid] 583358607 [EditorId] 764847374 [Version] 1048832 [Id] LinuxPlayer(13,172.28.0.12) [Debug] 0 [PackageName] LinuxPlayer [ProjectName] UnityEnvironment" to [225.0.0.222:54997]...
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Preloaded 'lib_burst_generated.so'
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Preloaded 'libgrpc_csharp_ext.x64.so'
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Initialize engine version: 2021.3.5f1 (40eb3a945986)
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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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| 35 |
Begin MonoManager ReloadAssembly
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+
- Completed reload, in 0.085 seconds
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| 37 |
ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
| 38 |
ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
| 39 |
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' - All subshaders removed
|
| 66 |
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
|
| 67 |
WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
|
| 68 |
+
UnloadTime: 0.794149 ms
|
| 69 |
ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
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| 70 |
requesting resize 84 x 84
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Setting up 1 worker threads for Enlighten.
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| 78 |
Peak Allocated Bytes 0 B
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| 79 |
Overflow Count 0
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[ALLOC_TEMP_MAIN]
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Peak usage frame count: [16.0 KB-32.0 KB]: 1437 frames, [32.0 KB-64.0 KB]: 370 frames, [64.0 KB-128.0 KB]: 69 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 2.0 MB
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Peak Allocated memory 1.6 MB
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Peak Large allocation bytes 0 B
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[ALLOC_DEFAULT] Dual Thread Allocator
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+
Peak main deferred allocation count 12215
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[ALLOC_BUCKET]
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Large Block size 4.0 MB
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Used Block count 1
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Peak Allocated bytes 1.7 MB
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[ALLOC_DEFAULT_MAIN]
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Peak usage frame count: [8.0 MB-16.0 MB]: 1 frames, [16.0 MB-32.0 MB]: 1874 frames, [32.0 MB-64.0 MB]: 2 frames
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Requested Block Size 16.0 MB
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Peak Block count 3
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Peak Allocated memory 32.4 MB
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Peak Large allocation bytes 0 B
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[ALLOC_DEFAULT_THREAD]
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Peak usage frame count: [16.0 MB-32.0 MB]: 1877 frames
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Requested Block Size 16.0 MB
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Peak Block count 1
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Peak Allocated memory 21.2 MB
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Peak Large allocation bytes 16.0 MB
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[ALLOC_TEMP_JOB_1_FRAME]
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Initial Block Size 2.0 MB
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Large Block size 4.0 MB
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Used Block count 1
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Peak Allocated bytes 396 B
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run_logs/timers.json
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"name": "root",
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"gauges": {
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run_logs/training_status.json
CHANGED
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@@ -9,15 +9,33 @@
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