First Push`
Browse files- README.md +35 -0
- SoccerTwos.onnx +3 -0
- SoccerTwos/SoccerTwos-10499990.onnx +3 -0
- SoccerTwos/SoccerTwos-10499990.pt +3 -0
- SoccerTwos/SoccerTwos-10999892.onnx +3 -0
- SoccerTwos/SoccerTwos-10999892.pt +3 -0
- SoccerTwos/SoccerTwos-11499966.onnx +3 -0
- SoccerTwos/SoccerTwos-11499966.pt +3 -0
- SoccerTwos/SoccerTwos-11999985.onnx +3 -0
- SoccerTwos/SoccerTwos-11999985.pt +3 -0
- SoccerTwos/SoccerTwos-12499948.onnx +3 -0
- SoccerTwos/SoccerTwos-12499948.pt +3 -0
- SoccerTwos/SoccerTwos-12999794.onnx +3 -0
- SoccerTwos/SoccerTwos-12999794.pt +3 -0
- SoccerTwos/SoccerTwos-13499930.onnx +3 -0
- SoccerTwos/SoccerTwos-13499930.pt +3 -0
- SoccerTwos/SoccerTwos-13999876.onnx +3 -0
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- SoccerTwos/SoccerTwos-13999981.onnx +3 -0
- SoccerTwos/SoccerTwos-13999981.pt +3 -0
- SoccerTwos/SoccerTwos-14499998.onnx +3 -0
- SoccerTwos/SoccerTwos-14499998.pt +3 -0
- SoccerTwos/SoccerTwos-14999986.onnx +3 -0
- SoccerTwos/SoccerTwos-14999986.pt +3 -0
- SoccerTwos/SoccerTwos-15000072.onnx +3 -0
- SoccerTwos/SoccerTwos-15000072.pt +3 -0
- SoccerTwos/SoccerTwos-2499869.onnx +3 -0
- SoccerTwos/SoccerTwos-2499869.pt +3 -0
- SoccerTwos/SoccerTwos-2999816.onnx +3 -0
- SoccerTwos/SoccerTwos-2999816.pt +3 -0
- SoccerTwos/SoccerTwos-3499997.onnx +3 -0
- SoccerTwos/SoccerTwos-3499997.pt +3 -0
- SoccerTwos/SoccerTwos-3999986.onnx +3 -0
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- SoccerTwos/SoccerTwos-9999979.onnx +3 -0
- SoccerTwos/SoccerTwos-9999979.pt +3 -0
- SoccerTwos/checkpoint.pt +3 -0
- SoccerTwos/events.out.tfevents.1755450444.DESKTOP-9J9O68M.11116.0 +3 -0
- SoccerTwos/events.out.tfevents.1755501615.DESKTOP-9J9O68M.2284.0 +3 -0
- SoccerTwos/events.out.tfevents.1755509823.DESKTOP-9J9O68M.5976.0 +3 -0
- config.json +1 -0
- configuration.yaml +84 -0
- run_logs/Player-0.log +40 -0
- run_logs/timers.json +383 -0
- run_logs/training_status.json +57 -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: mustafataha5/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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SoccerTwos/checkpoint.pt
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size 34749861
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version https://git-lfs.github.com/spec/v1
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oid sha256:0997d41721ba1b5e434974822b1d34820973ef17ec42bd8d2012851e56af2382
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size 525149
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version https://git-lfs.github.com/spec/v1
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oid sha256:cb8b26874c3fff214de6b3e0fc9a073cf335d6bf362b0848195ce8b972d50b65
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size 52476
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config.json
ADDED
@@ -0,0 +1 @@
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|
1 |
+
{"default_settings": null, "behaviors": {"SoccerTwos": {"trainer_type": "poca", "hyperparameters": {"batch_size": 4096, "buffer_size": 40960, "learning_rate": 0.0001, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 500000, "network_settings": {"normalize": true, "hidden_units": 512, "num_layers": 3, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.995, "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": 15000000, "time_horizon": 2000, "summary_freq": 20000, "threaded": true, "self_play": {"save_steps": 50000, "team_change": 100000, "swap_steps": 5000, "window": 20, "play_against_latest_model_ratio": 0.7, "initial_elo": 1200.0}, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/SoccerTwos/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": true, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
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configuration.yaml
ADDED
@@ -0,0 +1,84 @@
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|
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default_settings: null
|
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behaviors:
|
3 |
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SoccerTwos:
|
4 |
+
trainer_type: poca
|
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hyperparameters:
|
6 |
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batch_size: 4096
|
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buffer_size: 40960
|
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learning_rate: 0.0001
|
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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: linear
|
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beta_schedule: linear
|
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epsilon_schedule: linear
|
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checkpoint_interval: 500000
|
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network_settings:
|
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normalize: true
|
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hidden_units: 512
|
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num_layers: 3
|
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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: 0.995
|
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strength: 1.0
|
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network_settings:
|
30 |
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normalize: false
|
31 |
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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
|
40 |
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max_steps: 15000000
|
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time_horizon: 2000
|
42 |
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summary_freq: 20000
|
43 |
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threaded: true
|
44 |
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self_play:
|
45 |
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save_steps: 50000
|
46 |
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team_change: 100000
|
47 |
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swap_steps: 5000
|
48 |
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window: 20
|
49 |
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play_against_latest_model_ratio: 0.7
|
50 |
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initial_elo: 1200.0
|
51 |
+
behavioral_cloning: null
|
52 |
+
env_settings:
|
53 |
+
env_path: ./training-envs-executables/SoccerTwos/SoccerTwos.exe
|
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env_args: null
|
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base_port: 5005
|
56 |
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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
|
62 |
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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
|
68 |
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target_frame_rate: -1
|
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capture_frame_rate: 60
|
70 |
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no_graphics: true
|
71 |
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no_graphics_monitor: false
|
72 |
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environment_parameters: null
|
73 |
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checkpoint_settings:
|
74 |
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run_id: SoccerTwos
|
75 |
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initialize_from: null
|
76 |
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load_model: false
|
77 |
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resume: true
|
78 |
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force: false
|
79 |
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train_model: false
|
80 |
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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
|
run_logs/Player-0.log
ADDED
@@ -0,0 +1,40 @@
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Mono path[0] = 'C:/Users/user/Desktop/hasob_win/RL/MYRL/AI VS AI/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos_Data/Managed'
|
2 |
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Mono config path = 'C:/Users/user/Desktop/hasob_win/RL/MYRL/AI VS AI/ml-agents/training-envs-executables/SoccerTwos/MonoBleedingEdge/etc'
|
3 |
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Initialize engine version: 2021.3.14f1 (eee1884e7226)
|
4 |
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[Subsystems] Discovering subsystems at path C:/Users/user/Desktop/hasob_win/RL/MYRL/AI VS AI/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos_Data/UnitySubsystems
|
5 |
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Forcing GfxDevice: Null
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6 |
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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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Begin MonoManager ReloadAssembly
|
12 |
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- Completed reload, in 2.664 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 |
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WARNING: Shader Did you use #pragma only_renderers and omit this platform?
|
19 |
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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: 0.646500 ms
|
39 |
+
Registered Communicator in Agent.
|
40 |
+
ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
run_logs/timers.json
ADDED
@@ -0,0 +1,383 @@
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|
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{
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"name": "root",
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"gauges": {
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},
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"SoccerTwos.Environment.EpisodeLength.mean": {
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},
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"SoccerTwos.Environment.EpisodeLength.sum": {
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"value": 39316.0,
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"min": 244.0,
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"count": 51
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},
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"SoccerTwos.Self-play.ELO.mean": {
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"value": 1190.6459518979211,
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"min": 1190.6459518979211,
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},
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