DContrerasF
commited on
Commit
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Parent(s):
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First Push
Browse files- README.md +35 -0
- SnowballTarget.onnx +3 -0
- SnowballTarget/SnowballTarget-149984.onnx +3 -0
- SnowballTarget/SnowballTarget-149984.pt +3 -0
- SnowballTarget/SnowballTarget-199984.onnx +3 -0
- SnowballTarget/SnowballTarget-199984.pt +3 -0
- SnowballTarget/SnowballTarget-200112.onnx +3 -0
- SnowballTarget/SnowballTarget-200112.pt +3 -0
- SnowballTarget/SnowballTarget-49936.onnx +3 -0
- SnowballTarget/SnowballTarget-49936.pt +3 -0
- SnowballTarget/SnowballTarget-99960.onnx +3 -0
- SnowballTarget/SnowballTarget-99960.pt +3 -0
- SnowballTarget/checkpoint.pt +3 -0
- SnowballTarget/events.out.tfevents.1700154103.db8ace4712c0.3456.0 +3 -0
- config.json +1 -0
- configuration.yaml +78 -0
- run_logs/Player-0.log +262 -0
- run_logs/timers.json +377 -0
- run_logs/training_status.json +65 -0
README.md
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---
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library_name: ml-agents
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tags:
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- SnowballTarget
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- deep-reinforcement-learning
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- reinforcement-learning
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- ML-Agents-SnowballTarget
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---
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# **ppo** Agent playing **SnowballTarget**
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This is a trained model of a **ppo** agent playing **SnowballTarget**
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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: DContrerasF/ppo-SnowballTarget
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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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SnowballTarget.onnx
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size 650646
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SnowballTarget/SnowballTarget-149984.onnx
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SnowballTarget/SnowballTarget-149984.pt
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SnowballTarget/SnowballTarget-199984.onnx
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SnowballTarget/SnowballTarget-199984.pt
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SnowballTarget/SnowballTarget-200112.onnx
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SnowballTarget/SnowballTarget-200112.pt
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SnowballTarget/SnowballTarget-49936.onnx
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size 650646
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SnowballTarget/SnowballTarget-49936.pt
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SnowballTarget/SnowballTarget-99960.onnx
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SnowballTarget/SnowballTarget-99960.pt
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SnowballTarget/checkpoint.pt
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version https://git-lfs.github.com/spec/v1
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size 3849250
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SnowballTarget/events.out.tfevents.1700154103.db8ace4712c0.3456.0
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version https://git-lfs.github.com/spec/v1
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size 28189
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config.json
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{"default_settings": null, "behaviors": {"SnowballTarget": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 50000, "network_settings": {"normalize": false, "hidden_units": 256, "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": 10, "even_checkpoints": false, "max_steps": 200000, "time_horizon": 64, "summary_freq": 10000, "threaded": true, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/linux/SnowballTarget/SnowballTarget", "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}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SnowballTarget1", "initialize_from": null, "load_model": false, "resume": false, "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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SnowballTarget:
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trainer_type: ppo
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hyperparameters:
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batch_size: 128
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buffer_size: 2048
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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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shared_critic: false
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learning_rate_schedule: linear
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beta_schedule: linear
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epsilon_schedule: linear
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checkpoint_interval: 50000
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network_settings:
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normalize: false
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hidden_units: 256
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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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goal_conditioning_type: hyper
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deterministic: false
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init_path: null
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keep_checkpoints: 10
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even_checkpoints: false
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max_steps: 200000
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time_horizon: 64
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summary_freq: 10000
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threaded: true
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self_play: null
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behavioral_cloning: null
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env_settings:
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env_path: ./training-envs-executables/linux/SnowballTarget/SnowballTarget
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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
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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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environment_parameters: null
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checkpoint_settings:
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run_id: SnowballTarget1
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initialize_from: null
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load_model: false
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resume: false
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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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torch_settings:
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device: null
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debug: false
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run_logs/Player-0.log
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Mono path[0] = '/content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/Managed'
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Mono config path = '/content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_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/Hugging Face
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PlayerPrefs - Creating folder: /root/.config/unity3d/Hugging Face/SnowballTarget
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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 /content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_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:855:(parse_card) cannot find card '0'
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ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory
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ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings
|
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ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
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ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name
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21 |
+
ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
|
22 |
+
ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory
|
23 |
+
ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
|
24 |
+
FMOD failed to initialize the output device.: "Error initializing output device. " (60)
|
25 |
+
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
|
26 |
+
ALSA lib confmisc.c:855:(parse_card) cannot find card '0'
|
27 |
+
ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory
|
28 |
+
ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings
|
29 |
+
ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
|
30 |
+
ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name
|
31 |
+
ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
|
32 |
+
ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory
|
33 |
+
ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
|
34 |
+
FMOD failed to initialize the output device.: "Error initializing output device. " (60)
|
35 |
+
FMOD initialized on nosound output
|
36 |
+
Begin MonoManager ReloadAssembly
|
37 |
+
- Completed reload, in 0.125 seconds
|
38 |
+
ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
39 |
+
ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
40 |
+
ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
41 |
+
WARNING: Shader Unsupported: 'Standard' - 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 |
+
ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
45 |
+
WARNING: Shader Unsupported: 'Standard' - All subshaders removed
|
46 |
+
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
|
47 |
+
WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
|
48 |
+
UnloadTime: 0.905481 ms
|
49 |
+
ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
50 |
+
requesting resize 84 x 84
|
51 |
+
Setting up 1 worker threads for Enlighten.
|
52 |
+
Memory Statistics:
|
53 |
+
[ALLOC_TEMP_TLS] TLS Allocator
|
54 |
+
StackAllocators :
|
55 |
+
[ALLOC_TEMP_MAIN]
|
56 |
+
Peak usage frame count: [8.0 KB-16.0 KB]: 5370 frames, [16.0 KB-32.0 KB]: 91 frames, [2.0 MB-4.0 MB]: 1 frames
|
57 |
+
Initial Block Size 4.0 MB
|
58 |
+
Current Block Size 4.0 MB
|
59 |
+
Peak Allocated Bytes 2.0 MB
|
60 |
+
Overflow Count 0
|
61 |
+
[ALLOC_TEMP_Loading.AsyncRead]
|
62 |
+
Initial Block Size 64.0 KB
|
63 |
+
Current Block Size 64.0 KB
|
64 |
+
Peak Allocated Bytes 198 B
|
65 |
+
Overflow Count 0
|
66 |
+
[ALLOC_TEMP_Loading.PreloadManager]
|
67 |
+
Initial Block Size 256.0 KB
|
68 |
+
Current Block Size 304.0 KB
|
69 |
+
Peak Allocated Bytes 228.9 KB
|
70 |
+
Overflow Count 4
|
71 |
+
[ALLOC_TEMP_Background Job.Worker 8]
|
72 |
+
Initial Block Size 32.0 KB
|
73 |
+
Current Block Size 32.0 KB
|
74 |
+
Peak Allocated Bytes 0 B
|
75 |
+
Overflow Count 0
|
76 |
+
[ALLOC_TEMP_Background Job.Worker 9]
|
77 |
+
Initial Block Size 32.0 KB
|
78 |
+
Current Block Size 32.0 KB
|
79 |
+
Peak Allocated Bytes 0 B
|
80 |
+
Overflow Count 0
|
81 |
+
[ALLOC_TEMP_Job.Worker 0]
|
82 |
+
Initial Block Size 256.0 KB
|
83 |
+
Current Block Size 256.0 KB
|
84 |
+
Peak Allocated Bytes 3.6 KB
|
85 |
+
Overflow Count 0
|
86 |
+
[ALLOC_TEMP_Background Job.Worker 10]
|
87 |
+
Initial Block Size 32.0 KB
|
88 |
+
Current Block Size 32.0 KB
|
89 |
+
Peak Allocated Bytes 0 B
|
90 |
+
Overflow Count 0
|
91 |
+
[ALLOC_TEMP_Background Job.Worker 14]
|
92 |
+
Initial Block Size 32.0 KB
|
93 |
+
Current Block Size 32.0 KB
|
94 |
+
Peak Allocated Bytes 0 B
|
95 |
+
Overflow Count 0
|
96 |
+
[ALLOC_TEMP_Background Job.Worker 6]
|
97 |
+
Initial Block Size 32.0 KB
|
98 |
+
Current Block Size 32.0 KB
|
99 |
+
Peak Allocated Bytes 0 B
|
100 |
+
Overflow Count 0
|
101 |
+
[ALLOC_TEMP_Background Job.Worker 12]
|
102 |
+
Initial Block Size 32.0 KB
|
103 |
+
Current Block Size 32.0 KB
|
104 |
+
Peak Allocated Bytes 0 B
|
105 |
+
Overflow Count 0
|
106 |
+
[ALLOC_TEMP_EnlightenWorker]
|
107 |
+
Initial Block Size 64.0 KB
|
108 |
+
Current Block Size 64.0 KB
|
109 |
+
Peak Allocated Bytes 0 B
|
110 |
+
Overflow Count 0
|
111 |
+
[ALLOC_TEMP_Background Job.Worker 15]
|
112 |
+
Initial Block Size 32.0 KB
|
113 |
+
Current Block Size 32.0 KB
|
114 |
+
Peak Allocated Bytes 0 B
|
115 |
+
Overflow Count 0
|
116 |
+
[ALLOC_TEMP_Background Job.Worker 1]
|
117 |
+
Initial Block Size 32.0 KB
|
118 |
+
Current Block Size 32.0 KB
|
119 |
+
Peak Allocated Bytes 0 B
|
120 |
+
Overflow Count 0
|
121 |
+
[ALLOC_TEMP_Background Job.Worker 2]
|
122 |
+
Initial Block Size 32.0 KB
|
123 |
+
Current Block Size 32.0 KB
|
124 |
+
Peak Allocated Bytes 0 B
|
125 |
+
Overflow Count 0
|
126 |
+
[ALLOC_TEMP_Background Job.Worker 7]
|
127 |
+
Initial Block Size 32.0 KB
|
128 |
+
Current Block Size 32.0 KB
|
129 |
+
Peak Allocated Bytes 0 B
|
130 |
+
Overflow Count 0
|
131 |
+
[ALLOC_TEMP_AssetGarbageCollectorHelper]
|
132 |
+
Initial Block Size 64.0 KB
|
133 |
+
Current Block Size 64.0 KB
|
134 |
+
Peak Allocated Bytes 0 B
|
135 |
+
Overflow Count 0
|
136 |
+
[ALLOC_TEMP_Background Job.Worker 5]
|
137 |
+
Initial Block Size 32.0 KB
|
138 |
+
Current Block Size 32.0 KB
|
139 |
+
Peak Allocated Bytes 0 B
|
140 |
+
Overflow Count 0
|
141 |
+
[ALLOC_TEMP_Background Job.Worker 13]
|
142 |
+
Initial Block Size 32.0 KB
|
143 |
+
Current Block Size 32.0 KB
|
144 |
+
Peak Allocated Bytes 0 B
|
145 |
+
Overflow Count 0
|
146 |
+
[ALLOC_TEMP_Background Job.Worker 11]
|
147 |
+
Initial Block Size 32.0 KB
|
148 |
+
Current Block Size 32.0 KB
|
149 |
+
Peak Allocated Bytes 0 B
|
150 |
+
Overflow Count 0
|
151 |
+
[ALLOC_TEMP_Background Job.Worker 3]
|
152 |
+
Initial Block Size 32.0 KB
|
153 |
+
Current Block Size 32.0 KB
|
154 |
+
Peak Allocated Bytes 0 B
|
155 |
+
Overflow Count 0
|
156 |
+
[ALLOC_TEMP_Background Job.Worker 0]
|
157 |
+
Initial Block Size 32.0 KB
|
158 |
+
Current Block Size 32.0 KB
|
159 |
+
Peak Allocated Bytes 0 B
|
160 |
+
Overflow Count 0
|
161 |
+
[ALLOC_TEMP_Background Job.Worker 4]
|
162 |
+
Initial Block Size 32.0 KB
|
163 |
+
Current Block Size 32.0 KB
|
164 |
+
Peak Allocated Bytes 0 B
|
165 |
+
Overflow Count 0
|
166 |
+
[ALLOC_TEMP_BatchDeleteObjects]
|
167 |
+
Initial Block Size 64.0 KB
|
168 |
+
Current Block Size 64.0 KB
|
169 |
+
Peak Allocated Bytes 0 B
|
170 |
+
Overflow Count 0
|
171 |
+
[ALLOC_DEFAULT] Dual Thread Allocator
|
172 |
+
Peak main deferred allocation count 40
|
173 |
+
[ALLOC_BUCKET]
|
174 |
+
Large Block size 4.0 MB
|
175 |
+
Used Block count 1
|
176 |
+
Peak Allocated bytes 1.0 MB
|
177 |
+
[ALLOC_DEFAULT_MAIN]
|
178 |
+
Peak usage frame count: [4.0 MB-8.0 MB]: 5462 frames
|
179 |
+
Requested Block Size 16.0 MB
|
180 |
+
Peak Block count 1
|
181 |
+
Peak Allocated memory 6.7 MB
|
182 |
+
Peak Large allocation bytes 0 B
|
183 |
+
[ALLOC_DEFAULT_THREAD]
|
184 |
+
Peak usage frame count: [16.0 MB-32.0 MB]: 5462 frames
|
185 |
+
Requested Block Size 16.0 MB
|
186 |
+
Peak Block count 1
|
187 |
+
Peak Allocated memory 17.8 MB
|
188 |
+
Peak Large allocation bytes 16.0 MB
|
189 |
+
[ALLOC_TEMP_JOB_1_FRAME]
|
190 |
+
Initial Block Size 2.0 MB
|
191 |
+
Used Block Count 1
|
192 |
+
Overflow Count (too large) 0
|
193 |
+
Overflow Count (full) 0
|
194 |
+
[ALLOC_TEMP_JOB_2_FRAMES]
|
195 |
+
Initial Block Size 2.0 MB
|
196 |
+
Used Block Count 1
|
197 |
+
Overflow Count (too large) 0
|
198 |
+
Overflow Count (full) 0
|
199 |
+
[ALLOC_TEMP_JOB_4_FRAMES (JobTemp)]
|
200 |
+
Initial Block Size 2.0 MB
|
201 |
+
Used Block Count 2
|
202 |
+
Overflow Count (too large) 0
|
203 |
+
Overflow Count (full) 0
|
204 |
+
[ALLOC_TEMP_JOB_ASYNC (Background)]
|
205 |
+
Initial Block Size 1.0 MB
|
206 |
+
Used Block Count 3
|
207 |
+
Overflow Count (too large) 0
|
208 |
+
Overflow Count (full) 0
|
209 |
+
[ALLOC_GFX] Dual Thread Allocator
|
210 |
+
Peak main deferred allocation count 0
|
211 |
+
[ALLOC_BUCKET]
|
212 |
+
Large Block size 4.0 MB
|
213 |
+
Used Block count 1
|
214 |
+
Peak Allocated bytes 1.0 MB
|
215 |
+
[ALLOC_GFX_MAIN]
|
216 |
+
Peak usage frame count: [32.0 KB-64.0 KB]: 4936 frames, [64.0 KB-128.0 KB]: 526 frames
|
217 |
+
Requested Block Size 16.0 MB
|
218 |
+
Peak Block count 1
|
219 |
+
Peak Allocated memory 66.7 KB
|
220 |
+
Peak Large allocation bytes 0 B
|
221 |
+
[ALLOC_GFX_THREAD]
|
222 |
+
Peak usage frame count: [32.0 KB-64.0 KB]: 5462 frames
|
223 |
+
Requested Block Size 16.0 MB
|
224 |
+
Peak Block count 1
|
225 |
+
Peak Allocated memory 39.6 KB
|
226 |
+
Peak Large allocation bytes 0 B
|
227 |
+
[ALLOC_CACHEOBJECTS] Dual Thread Allocator
|
228 |
+
Peak main deferred allocation count 0
|
229 |
+
[ALLOC_BUCKET]
|
230 |
+
Large Block size 4.0 MB
|
231 |
+
Used Block count 1
|
232 |
+
Peak Allocated bytes 1.0 MB
|
233 |
+
[ALLOC_CACHEOBJECTS_MAIN]
|
234 |
+
Peak usage frame count: [0.5 MB-1.0 MB]: 5462 frames
|
235 |
+
Requested Block Size 4.0 MB
|
236 |
+
Peak Block count 1
|
237 |
+
Peak Allocated memory 0.6 MB
|
238 |
+
Peak Large allocation bytes 0 B
|
239 |
+
[ALLOC_CACHEOBJECTS_THREAD]
|
240 |
+
Peak usage frame count: [0.5 MB-1.0 MB]: 5461 frames, [2.0 MB-4.0 MB]: 1 frames
|
241 |
+
Requested Block Size 4.0 MB
|
242 |
+
Peak Block count 1
|
243 |
+
Peak Allocated memory 2.2 MB
|
244 |
+
Peak Large allocation bytes 0 B
|
245 |
+
[ALLOC_TYPETREE] Dual Thread Allocator
|
246 |
+
Peak main deferred allocation count 0
|
247 |
+
[ALLOC_BUCKET]
|
248 |
+
Large Block size 4.0 MB
|
249 |
+
Used Block count 1
|
250 |
+
Peak Allocated bytes 1.0 MB
|
251 |
+
[ALLOC_TYPETREE_MAIN]
|
252 |
+
Peak usage frame count: [0-1.0 KB]: 5462 frames
|
253 |
+
Requested Block Size 2.0 MB
|
254 |
+
Peak Block count 1
|
255 |
+
Peak Allocated memory 1.0 KB
|
256 |
+
Peak Large allocation bytes 0 B
|
257 |
+
[ALLOC_TYPETREE_THREAD]
|
258 |
+
Peak usage frame count: [1.0 KB-2.0 KB]: 5462 frames
|
259 |
+
Requested Block Size 2.0 MB
|
260 |
+
Peak Block count 1
|
261 |
+
Peak Allocated memory 1.7 KB
|
262 |
+
Peak Large allocation bytes 0 B
|
run_logs/timers.json
ADDED
@@ -0,0 +1,377 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"name": "root",
|
3 |
+
"gauges": {
|
4 |
+
"SnowballTarget.Policy.Entropy.mean": {
|
5 |
+
"value": 0.8441686630249023,
|
6 |
+
"min": 0.8441686630249023,
|
7 |
+
"max": 2.871239185333252,
|
8 |
+
"count": 20
|
9 |
+
},
|
10 |
+
"SnowballTarget.Policy.Entropy.sum": {
|
11 |
+
"value": 8050.83642578125,
|
12 |
+
"min": 8050.83642578125,
|
13 |
+
"max": 29372.77734375,
|
14 |
+
"count": 20
|
15 |
+
},
|
16 |
+
"SnowballTarget.Step.mean": {
|
17 |
+
"value": 199984.0,
|
18 |
+
"min": 9952.0,
|
19 |
+
"max": 199984.0,
|
20 |
+
"count": 20
|
21 |
+
},
|
22 |
+
"SnowballTarget.Step.sum": {
|
23 |
+
"value": 199984.0,
|
24 |
+
"min": 9952.0,
|
25 |
+
"max": 199984.0,
|
26 |
+
"count": 20
|
27 |
+
},
|
28 |
+
"SnowballTarget.Policy.ExtrinsicValueEstimate.mean": {
|
29 |
+
"value": 12.993959426879883,
|
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