Pyramids push

Pyramids.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5765be8955fe77af505f5b6c3f0d6fbe39b68ff84308e147a2b5e2e04212f556
+size 1420238

Pyramids/Pyramids-1499916.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1d52fb65224d0a4c779f6ac1af839ba8de682619a13f1efa87723f37840623d
+size 1420238

Pyramids/Pyramids-1499916.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:99cf45e3ac4dd804fc93a08f6e9c41cc0a8bd9f75baf1fa59efe8bd3afe0d034
+size 8656252

Pyramids/Pyramids-1999930.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:06736346c3130d5c9394dcab4c8d8fe5205bb68ff69da1e0a64d0c830429f8a8
+size 1420238

Pyramids/Pyramids-1999930.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0f548ca6d4b6ecf9411b6f5b7b72086eea79c5f49f104a19f954822c1e430d56
+size 8656252

Pyramids/Pyramids-2499969.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a0e2d3c5a30567a82e81e3282d006656e6c9565d80a99a5a778b5f824b494fb9
+size 1420238

Pyramids/Pyramids-2499969.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:328b0825c546d69eb3c4ef2474175017740203c981cf3befc5755e1c7e5f5acf
+size 8656252

Pyramids/Pyramids-2694812.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5765be8955fe77af505f5b6c3f0d6fbe39b68ff84308e147a2b5e2e04212f556
+size 1420238

Pyramids/Pyramids-2694812.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd31bf5d63826c7546276f9c24a2aa42c4c4aeb84b39dd0518f73908cb30d06d
+size 8656252

Pyramids/Pyramids-999977.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c4b1286c737342b39d38145f315f110b254c0e66bedbbb2a5bdeec2bec3b6727
+size 1420238

Pyramids/Pyramids-999977.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fcc6f57e628be4d5751bf0a928b5b59899a86c41c2b757393529f5f948ce54d7
+size 8656173

Pyramids/checkpoint.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3bc44cdbfb117f4904c2432885cf97049825cb781d17b228da0d3aea4a5d3916
+size 8655778

Pyramids/events.out.tfevents.1700686906.53173c0c5915.10767.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c76f08194a6268635f557f79983aae31595a3be348b0c9ce3063c9e896e2933
+size 884436

README.md

@@ -0,0 +1,35 @@
+---
+library_name: ml-agents
+tags:
+- Pyramids
+- deep-reinforcement-learning
+- reinforcement-learning
+- ML-Agents-Pyramids
+---
+
+  # **ppo** Agent playing **Pyramids**
+  This is a trained model of a **ppo** agent playing **Pyramids**
+  using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
+
+  ## Usage (with ML-Agents)
+  The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
+
+  We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
+  - A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
+  browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
+  - A *longer tutorial* to understand how works ML-Agents:
+  https://huggingface.co/learn/deep-rl-course/unit5/introduction
+
+  ### Resume the training
+  ```bash
+  mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
+  ```
+
+  ### Watch your Agent play
+  You can watch your agent **playing directly in your browser**
+
+  1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
+  2. Step 1: Find your model_id: DaColdest/ppo-PyramidsRND
+  3. Step 2: Select your *.nn /*.onnx file
+  4. Click on Watch the agent play 👀
+  

config.json

@@ -0,0 +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": 3000000, "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": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}

configuration.yaml

@@ -0,0 +1,92 @@
+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: 3000000
+    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: false
+  force: false
+  train_model: false
+  inference: false
+  results_dir: results
+torch_settings:
+  device: null
+debug: false

run_logs/Player-0.log

@@ -0,0 +1,317 @@
+Mono path[0] = '/content/ml-agents/training-envs-executables/linux/Pyramids/Pyramids_Data/Managed'
+Mono config path = '/content/ml-agents/training-envs-executables/linux/Pyramids/Pyramids_Data/MonoBleedingEdge/etc'
+Found 1 interfaces on host : 0) 172.28.0.12
+Multi-casting "[IP] 172.28.0.12 [Port] 55508 [Flags] 2 [Guid] 3840825966 [EditorId] 764847374 [Version] 1048832 [Id] LinuxPlayer(13,172.28.0.12) [Debug] 0 [PackageName] LinuxPlayer [ProjectName] UnityEnvironment" to [225.0.0.222:54997]...
+Preloaded 'lib_burst_generated.so'
+Preloaded 'libgrpc_csharp_ext.x64.so'
+PlayerPrefs - Creating folder: /root/.config/unity3d/Unity Technologies
+PlayerPrefs - Creating folder: /root/.config/unity3d/Unity Technologies/UnityEnvironment
+Unable to load player prefs
+Initialize engine version: 2021.3.5f1 (40eb3a945986)
+[Subsystems] Discovering subsystems at path /content/ml-agents/training-envs-executables/linux/Pyramids/Pyramids_Data/UnitySubsystems
+Forcing GfxDevice: Null
+GfxDevice: creating device client; threaded=0; jobified=0
+NullGfxDevice:
+    Version:  NULL 1.0 [1.0]
+    Renderer: Null Device
+    Vendor:   Unity Technologies
+ALSA lib confmisc.c:855:(parse_card) cannot find card '0'
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory
+ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
+ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
+ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory
+ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
+FMOD failed to initialize the output device.: "Error initializing output device. " (60)
+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
+ALSA lib confmisc.c:855:(parse_card) cannot find card '0'
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory
+ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
+ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
+ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory
+ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
+FMOD failed to initialize the output device.: "Error initializing output device. " (60)
+FMOD initialized on nosound output
+Begin MonoManager ReloadAssembly
+- Completed reload, in  0.088 seconds
+ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+ERROR: Shader Autodesk Interactive shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+WARNING: Shader Unsupported: 'Legacy Shaders/Diffuse' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+ERROR: Shader Legacy Shaders/Diffuse shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Legacy Shaders/Diffuse' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+WARNING: Shader Unsupported: 'ML-Agents/GridPattern' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+ERROR: Shader ML-Agents/GridPattern shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'ML-Agents/GridPattern' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+WARNING: Shader Unsupported: 'Standard' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Standard' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+UnloadTime: 0.761541 ms
+ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+requesting resize 84 x 84
+Setting up 1 worker threads for Enlighten.
+PlayerConnection::CleanupMemory Statistics:
+[ALLOC_TEMP_TLS] TLS Allocator
+  StackAllocators : 
+    [ALLOC_TEMP_MAIN]
+      Peak usage frame count: [16.0 KB-32.0 KB]: 7318 frames, [32.0 KB-64.0 KB]: 32999 frames, [64.0 KB-128.0 KB]: 10230 frames, [2.0 MB-4.0 MB]: 1 frames
+      Initial Block Size 4.0 MB
+      Current Block Size 4.0 MB
+      Peak Allocated Bytes 2.0 MB
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 8]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 10]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 6]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_AUDIO_FMOD mixer thread]
+      Initial Block Size 64.0 KB
+      Current Block Size 64.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 1]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 11]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 3]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_BatchDeleteObjects]
+      Initial Block Size 64.0 KB
+      Current Block Size 64.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_AUDIO_FMOD stream thread]
+      Initial Block Size 64.0 KB
+      Current Block Size 64.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 2]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 7]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 15]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Loading.PreloadManager]
+      Initial Block Size 256.0 KB
+      Current Block Size 320.0 KB
+      Peak Allocated Bytes 251.5 KB
+      Overflow Count 4
+    [ALLOC_TEMP_Profiler.Dispatcher]
+      Initial Block Size 64.0 KB
+      Current Block Size 64.0 KB
+      Peak Allocated Bytes 240 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 12]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_AssetGarbageCollectorHelper]
+      Initial Block Size 64.0 KB
+      Current Block Size 64.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 5]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 13]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 0]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 4]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Job.Worker 0]
+      Initial Block Size 256.0 KB
+      Current Block Size 256.0 KB
+      Peak Allocated Bytes 0.8 KB
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 9]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 14]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_EnlightenWorker]
+      Initial Block Size 64.0 KB
+      Current Block Size 64.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Loading.AsyncRead]
+      Initial Block Size 64.0 KB
+      Current Block Size 64.0 KB
+      Peak Allocated Bytes 128 B
+      Overflow Count 0
+[ALLOC_MEMORYPROFILER]
+  Peak usage frame count: [0.5 MB-1.0 MB]: 299 frames, [1.0 MB-2.0 MB]: 50249 frames
+  Requested Block Size 1.0 MB
+  Peak Block count 2
+  Peak Allocated memory 1.6 MB
+  Peak Large allocation bytes 0 B
+[ALLOC_DEFAULT] Dual Thread Allocator
+  Peak main deferred allocation count 11919
+    [ALLOC_BUCKET]
+      Large Block size 4.0 MB
+      Used Block count 1
+      Peak Allocated bytes 1.7 MB
+    [ALLOC_DEFAULT_MAIN]
+      Peak usage frame count: [8.0 MB-16.0 MB]: 1 frames, [16.0 MB-32.0 MB]: 50545 frames, [32.0 MB-64.0 MB]: 2 frames
+      Requested Block Size 16.0 MB
+      Peak Block count 3
+      Peak Allocated memory 32.9 MB
+      Peak Large allocation bytes 0 B
+    [ALLOC_DEFAULT_THREAD]
+      Peak usage frame count: [16.0 MB-32.0 MB]: 50548 frames
+      Requested Block Size 16.0 MB
+      Peak Block count 1
+      Peak Allocated memory 21.2 MB
+      Peak Large allocation bytes 16.0 MB
+[ALLOC_TEMP_JOB_1_FRAME]
+  Initial Block Size 2.0 MB
+  Used Block Count 1
+  Overflow Count (too large) 0
+  Overflow Count (full) 0
+[ALLOC_TEMP_JOB_2_FRAMES]
+  Initial Block Size 2.0 MB
+  Used Block Count 1
+  Overflow Count (too large) 0
+  Overflow Count (full) 0
+[ALLOC_TEMP_JOB_4_FRAMES (JobTemp)]
+  Initial Block Size 2.0 MB
+  Used Block Count 2
+  Overflow Count (too large) 0
+  Overflow Count (full) 0
+[ALLOC_TEMP_JOB_ASYNC (Background)]
+  Initial Block Size 1.0 MB
+  Used Block Count 3
+  Overflow Count (too large) 0
+  Overflow Count (full) 0
+[ALLOC_GFX] Dual Thread Allocator
+  Peak main deferred allocation count 0
+    [ALLOC_BUCKET]
+      Large Block size 4.0 MB
+      Used Block count 1
+      Peak Allocated bytes 1.7 MB
+    [ALLOC_GFX_MAIN]
+      Peak usage frame count: [32.0 KB-64.0 KB]: 50547 frames, [64.0 KB-128.0 KB]: 1 frames
+      Requested Block Size 16.0 MB
+      Peak Block count 1
+      Peak Allocated memory 67.0 KB
+      Peak Large allocation bytes 0 B
+    [ALLOC_GFX_THREAD]
+      Peak usage frame count: [64.0 KB-128.0 KB]: 50548 frames
+      Requested Block Size 16.0 MB
+      Peak Block count 1
+      Peak Allocated memory 67.7 KB
+      Peak Large allocation bytes 0 B
+[ALLOC_CACHEOBJECTS] Dual Thread Allocator
+  Peak main deferred allocation count 1
+    [ALLOC_BUCKET]
+      Large Block size 4.0 MB
+      Used Block count 1
+      Peak Allocated bytes 1.7 MB
+    [ALLOC_CACHEOBJECTS_MAIN]
+      Peak usage frame count: [0.5 MB-1.0 MB]: 299 frames, [1.0 MB-2.0 MB]: 50249 frames
+      Requested Block Size 4.0 MB
+      Peak Block count 1
+      Peak Allocated memory 1.4 MB
+      Peak Large allocation bytes 0 B
+    [ALLOC_CACHEOBJECTS_THREAD]
+      Peak usage frame count: [1.0 MB-2.0 MB]: 50547 frames, [4.0 MB-8.0 MB]: 1 frames
+      Requested Block Size 4.0 MB
+      Peak Block count 2
+      Peak Allocated memory 4.7 MB
+      Peak Large allocation bytes 0 B
+[ALLOC_TYPETREE] Dual Thread Allocator
+  Peak main deferred allocation count 0
+    [ALLOC_BUCKET]
+      Large Block size 4.0 MB
+      Used Block count 1
+      Peak Allocated bytes 1.7 MB
+    [ALLOC_TYPETREE_MAIN]
+      Peak usage frame count: [0-1.0 KB]: 50548 frames
+      Requested Block Size 2.0 MB
+      Peak Block count 1
+      Peak Allocated memory 1.0 KB
+      Peak Large allocation bytes 0 B
+    [ALLOC_TYPETREE_THREAD]
+      Peak usage frame count: [1.0 KB-2.0 KB]: 50548 frames
+      Requested Block Size 2.0 MB
+      Peak Block count 1
+      Peak Allocated memory 1.9 KB
+      Peak Large allocation bytes 0 B
+[ALLOC_PROFILER]
+  Peak usage frame count: [16.0 KB-32.0 KB]: 50548 frames
+  Requested Block Size 16.0 MB
+  Peak Block count 1
+  Peak Allocated memory 29.2 KB
+  Peak Large allocation bytes 0 B
+    [ALLOC_PROFILER_BUCKET]
+      Large Block size 4.0 MB
+      Used Block count 1
+      Peak Allocated bytes 396 B
+##utp:{"type":"MemoryLeaks","version":2,"phase":"Immediate","time":1700692804125,"processId":10788,"allocatedMemory":1970133,"memoryLabels":[{"Default":9033},{"Permanent":1264},{"NewDelete":12801},{"Thread":34460},{"Manager":10603},{"VertexData":12},{"Geometry":280},{"Texture":16},{"Shader":69173},{"Material":24},{"GfxDevice":35248},{"Animation":304},{"Audio":3976},{"Physics":288},{"Serialization":216},{"Input":9176},{"JobScheduler":200},{"Mono":40},{"ScriptingNativeRuntime":216},{"BaseObject":1609212},{"Resource":592},{"Renderer":1936},{"Transform":48},{"File":800},{"WebCam":24},{"Culling":40},{"Terrain":953},{"Wind":24},{"String":3447},{"DynamicArray":30868},{"HashMap":7680},{"Utility":1360},{"PoolAlloc":1160},{"TypeTree":1792},{"ScriptManager":80},{"RuntimeInitializeOnLoadManager":72},{"SpriteAtlas":112},{"GI":3272},{"Unet":16},{"Director":7760},{"WebRequest":720},{"VR":45473},{"SceneManager":424},{"Video":32},{"LazyScriptCache":32},{"NativeArray":384},{"Camera":25},{"Secure":1},{"SerializationCache":624},{"APIUpdating":5872},{"Subsystems":384},{"VirtualTexturing":57552},{"AssetReference":32}]}

run_logs/timers.json

@@ -0,0 +1,398 @@
+{
+    "name": "root",
+    "gauges": {
+        "Pyramids.Policy.Entropy.mean": {
+            "value": 0.15111464262008667,
+            "min": 0.15111464262008667,
+            "max": 1.4325040578842163,
+            "count": 89
+        },
+        "Pyramids.Policy.Entropy.sum": {
+            "value": 4531.021484375,
+            "min": 4531.021484375,
+            "max": 43456.44140625,
+            "count": 89
+        },
+        "Pyramids.Step.mean": {
+            "value": 2669982.0,
+            "min": 29952.0,
+            "max": 2669982.0,
+            "count": 89
+        },
+        "Pyramids.Step.sum": {
+            "value": 2669982.0,
+            "min": 29952.0,
+            "max": 2669982.0,
+            "count": 89
+        },
+        "Pyramids.Policy.ExtrinsicValueEstimate.mean": {
+            "value": 0.5815648436546326,
+            "min": -0.11563204973936081,
+            "max": 0.6978034377098083,
+            "count": 89
+        },
+        "Pyramids.Policy.ExtrinsicValueEstimate.sum": {
+            "value": 162.83815002441406,
+            "min": -28.098588943481445,
+            "max": 201.66519165039062,
+            "count": 89
+        },
+        "Pyramids.Policy.RndValueEstimate.mean": {
+            "value": 0.0048854779452085495,
+            "min": -0.0012113683624193072,
+            "max": 0.44748809933662415,
+            "count": 89
+        },
+        "Pyramids.Policy.RndValueEstimate.sum": {
+            "value": 1.3679338693618774,
+            "min": -0.3428172469139099,
+            "max": 106.05467987060547,
+            "count": 89
+        },
+        "Pyramids.Losses.PolicyLoss.mean": {
+            "value": 0.07091879857485071,
+            "min": 0.06389800343685709,
+            "max": 0.07378497364204761,
+            "count": 89
+        },
+        "Pyramids.Losses.PolicyLoss.sum": {
+            "value": 0.9928631800479101,
+            "min": 0.481007311906968,
+            "max": 1.0586867328092922,
+            "count": 89
+        },
+        "Pyramids.Losses.ValueLoss.mean": {
+            "value": 0.015049542405731265,
+            "min": 8.12995156895757e-05,
+            "max": 0.01578679219618243,
+            "count": 89
+        },
+        "Pyramids.Losses.ValueLoss.sum": {
+            "value": 0.2106935936802377,
+            "min": 0.0011381932196540597,
+            "max": 0.22101509074655398,
+            "count": 89
+        },
+        "Pyramids.Policy.LearningRate.mean": {
+            "value": 3.446695279675953e-05,
+            "min": 3.446695279675953e-05,
+            "max": 0.00029838354339596195,
+            "count": 89
+        },
+        "Pyramids.Policy.LearningRate.sum": {
+            "value": 0.0004825373391546334,
+            "min": 0.0004825373391546334,
+            "max": 0.003969224076925333,
+            "count": 89
+        },
+        "Pyramids.Policy.Epsilon.mean": {
+            "value": 0.11148895476190476,
+            "min": 0.11148895476190476,
+            "max": 0.19946118095238097,
+            "count": 89
+        },
+        "Pyramids.Policy.Epsilon.sum": {
+            "value": 1.5608453666666666,
+            "min": 1.3897045333333333,
+            "max": 2.7524597333333336,
+            "count": 89
+        },
+        "Pyramids.Policy.Beta.mean": {
+            "value": 0.0011577465807142858,
+            "min": 0.0011577465807142858,
+            "max": 0.009946171977142856,
+            "count": 89
+        },
+        "Pyramids.Policy.Beta.sum": {
+            "value": 0.016208452130000002,
+            "min": 0.016208452130000002,
+            "max": 0.13231515919999998,
+            "count": 89
+        },
+        "Pyramids.Losses.RNDLoss.mean": {
+            "value": 0.005369116552174091,
+            "min": 0.005265297833830118,
+            "max": 0.39209750294685364,
+            "count": 89
+        },
+        "Pyramids.Losses.RNDLoss.sum": {
+            "value": 0.07516763359308243,
+            "min": 0.074711874127388,
+            "max": 2.744682550430298,
+            "count": 89
+        },
+        "Pyramids.Environment.EpisodeLength.mean": {
+            "value": 333.5833333333333,
+            "min": 271.08,
+            "max": 999.0,
+            "count": 89
+        },
+        "Pyramids.Environment.EpisodeLength.sum": {
+            "value": 32024.0,
+            "min": 15984.0,
+            "max": 32792.0,
+            "count": 89
+        },
+        "Pyramids.Environment.CumulativeReward.mean": {
+            "value": 1.5795494530546037,
+            "min": -1.0000000521540642,
+            "max": 1.702336621830369,
+            "count": 89
+        },
+        "Pyramids.Environment.CumulativeReward.sum": {
+            "value": 150.05719804018736,
+            "min": -32.000001668930054,
+            "max": 179.65639878809452,
+            "count": 89
+        },
+        "Pyramids.Policy.ExtrinsicReward.mean": {
+            "value": 1.5795494530546037,
+            "min": -1.0000000521540642,
+            "max": 1.702336621830369,
+            "count": 89
+        },
+        "Pyramids.Policy.ExtrinsicReward.sum": {
+            "value": 150.05719804018736,
+            "min": -32.000001668930054,
+            "max": 179.65639878809452,
+            "count": 89
+        },
+        "Pyramids.Policy.RndReward.mean": {
+            "value": 0.018861757409084884,
+            "min": 0.015193429891078268,
+            "max": 7.542981471866369,
+            "count": 89
+        },
+        "Pyramids.Policy.RndReward.sum": {
+            "value": 1.7918669538630638,
+            "min": 1.5193429891078267,
+            "max": 120.68770354986191,
+            "count": 89
+        },
+        "Pyramids.IsTraining.mean": {
+            "value": 1.0,
+            "min": 1.0,
+            "max": 1.0,
+            "count": 89
+        },
+        "Pyramids.IsTraining.sum": {
+            "value": 1.0,
+            "min": 1.0,
+            "max": 1.0,
+            "count": 89
+        }
+    },
+    "metadata": {
+        "timer_format_version": "0.1.0",
+        "start_time_seconds": "1700686906",
+        "python_version": "3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0]",
+        "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/PyramidsRND.yaml --env=./training-envs-executables/linux/Pyramids/Pyramids --run-id=Pyramids Training --no-graphics",
+        "mlagents_version": "1.1.0.dev0",
+        "mlagents_envs_version": "1.1.0.dev0",
+        "communication_protocol_version": "1.5.0",
+        "pytorch_version": "2.1.0+cu118",
+        "numpy_version": "1.23.5",
+        "end_time_seconds": "1700692804"
+    },
+    "total": 5898.031150867,
+    "count": 1,
+    "self": 0.4112637910002377,
+    "children": {
+        "run_training.setup": {
+            "total": 0.04540667800029041,
+            "count": 1,
+            "self": 0.04540667800029041
+        },
+        "TrainerController.start_learning": {
+            "total": 5897.574480398,
+            "count": 1,
+            "self": 3.310677008887069,
+            "children": {
+                "TrainerController._reset_env": {
+                    "total": 5.24040349400002,
+                    "count": 1,
+                    "self": 5.24040349400002
+                },
+                "TrainerController.advance": {
+                    "total": 5888.908088859113,
+                    "count": 172951,
+                    "self": 3.547196481023093,
+                    "children": {
+                        "env_step": {
+                            "total": 4194.582715425147,
+                            "count": 172951,
+                            "self": 3861.8882753959015,
+                            "children": {
+                                "SubprocessEnvManager._take_step": {
+                                    "total": 330.63175566214886,
+                                    "count": 172951,
+                                    "self": 12.244220178207797,
+                                    "children": {
+                                        "TorchPolicy.evaluate": {
+                                            "total": 318.38753548394106,
+                                            "count": 168492,
+                                            "self": 318.38753548394106
+                                        }
+                                    }
+                                },
+                                "workers": {
+                                    "total": 2.062684367097063,
+                                    "count": 172950,
+                                    "self": 0.0,
+                                    "children": {
+                                        "worker_root": {
+                                            "total": 5886.108775543811,
+                                            "count": 172950,
+                                            "is_parallel": true,
+                                            "self": 2326.244992923934,
+                                            "children": {
+                                                "run_training.setup": {
+                                                    "total": 0.0,
+                                                    "count": 0,
+                                                    "is_parallel": true,
+                                                    "self": 0.0,
+                                                    "children": {
+                                                        "steps_from_proto": {
+                                                            "total": 0.001818195000396372,
+                                                            "count": 1,
+                                                            "is_parallel": true,
+                                                            "self": 0.0006236760009414866,
+                                                            "children": {
+                                                                "_process_rank_one_or_two_observation": {
+                                                                    "total": 0.0011945189994548855,
+                                                                    "count": 8,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.0011945189994548855
+                                                                }
+                                                            }
+                                                        },
+                                                        "UnityEnvironment.step": {
+                                                            "total": 0.0979518420003842,
+                                                            "count": 1,
+                                                            "is_parallel": true,
+                                                            "self": 0.000555074000658351,
+                                                            "children": {
+                                                                "UnityEnvironment._generate_step_input": {
+                                                                    "total": 0.0004650779997064092,
+                                                                    "count": 1,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.0004650779997064092
+                                                                },
+                                                                "communicator.exchange": {
+                                                                    "total": 0.09525192199998855,
+                                                                    "count": 1,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.09525192199998855
+                                                                },
+                                                                "steps_from_proto": {
+                                                                    "total": 0.00167976800003089,
+                                                                    "count": 1,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.0003795869988607592,
+                                                                    "children": {
+                                                                        "_process_rank_one_or_two_observation": {
+                                                                            "total": 0.001300181001170131,
+                                                                            "count": 8,
+                                                                            "is_parallel": true,
+                                                                            "self": 0.001300181001170131
+                                                                        }
+                                                                    }
+                                                                }
+                                                            }
+                                                        }
+                                                    }
+                                                },
+                                                "UnityEnvironment.step": {
+                                                    "total": 3559.863782619877,
+                                                    "count": 172949,
+                                                    "is_parallel": true,
+                                                    "self": 89.39608420480681,
+                                                    "children": {
+                                                        "UnityEnvironment._generate_step_input": {
+                                                            "total": 61.501272881152545,
+                                                            "count": 172949,
+                                                            "is_parallel": true,
+                                                            "self": 61.501272881152545
+                                                        },
+                                                        "communicator.exchange": {
+                                                            "total": 3157.480528350006,
+                                                            "count": 172949,
+                                                            "is_parallel": true,
+                                                            "self": 3157.480528350006
+                                                        },
+                                                        "steps_from_proto": {
+                                                            "total": 251.48589718391167,
+                                                            "count": 172949,
+                                                            "is_parallel": true,
+                                                            "self": 49.3037058051832,
+                                                            "children": {
+                                                                "_process_rank_one_or_two_observation": {
+                                                                    "total": 202.18219137872848,
+                                                                    "count": 1383592,
+                                                                    "is_parallel": true,
+                                                                    "self": 202.18219137872848
+                                                                }
+                                                            }
+                                                        }
+                                                    }
+                                                }
+                                            }
+                                        }
+                                    }
+                                }
+                            }
+                        },
+                        "trainer_advance": {
+                            "total": 1690.7781769529433,
+                            "count": 172950,
+                            "self": 6.797328798783383,
+                            "children": {
+                                "process_trajectory": {
+                                    "total": 336.11463547313997,
+                                    "count": 172950,
+                                    "self": 335.70519010713997,
+                                    "children": {
+                                        "RLTrainer._checkpoint": {
+                                            "total": 0.4094453659999999,
+                                            "count": 5,
+                                            "self": 0.4094453659999999
+                                        }
+                                    }
+                                },
+                                "_update_policy": {
+                                    "total": 1347.86621268102,
+                                    "count": 1246,
+                                    "self": 806.8264153978644,
+                                    "children": {
+                                        "TorchPPOOptimizer.update": {
+                                            "total": 541.0397972831556,
+                                            "count": 61500,
+                                            "self": 541.0397972831556
+                                        }
+                                    }
+                                }
+                            }
+                        }
+                    }
+                },
+                "trainer_threads": {
+                    "total": 1.2790005712304264e-06,
+                    "count": 1,
+                    "self": 1.2790005712304264e-06
+                },
+                "TrainerController._save_models": {
+                    "total": 0.11530975699861301,
+                    "count": 1,
+                    "self": 0.001877035998404608,
+                    "children": {
+                        "RLTrainer._checkpoint": {
+                            "total": 0.1134327210002084,
+                            "count": 1,
+                            "self": 0.1134327210002084
+                        }
+                    }
+                }
+            }
+        }
+    }
+}

run_logs/training_status.json

@@ -0,0 +1,65 @@
+{
+    "Pyramids": {
+        "checkpoints": [
+            {
+                "steps": 999977,
+                "file_path": "results/Pyramids Training/Pyramids/Pyramids-999977.onnx",
+                "reward": null,
+                "creation_time": 1700688953.8534093,
+                "auxillary_file_paths": [
+                    "results/Pyramids Training/Pyramids/Pyramids-999977.pt"
+                ]
+            },
+            {
+                "steps": 1499916,
+                "file_path": "results/Pyramids Training/Pyramids/Pyramids-1499916.onnx",
+                "reward": 1.224633293847243,
+                "creation_time": 1700690054.6939845,
+                "auxillary_file_paths": [
+                    "results/Pyramids Training/Pyramids/Pyramids-1499916.pt"
+                ]
+            },
+            {
+                "steps": 1999930,
+                "file_path": "results/Pyramids Training/Pyramids/Pyramids-1999930.onnx",
+                "reward": 1.860000029206276,
+                "creation_time": 1700691195.5064905,
+                "auxillary_file_paths": [
+                    "results/Pyramids Training/Pyramids/Pyramids-1999930.pt"
+                ]
+            },
+            {
+                "steps": 2499969,
+                "file_path": "results/Pyramids Training/Pyramids/Pyramids-2499969.onnx",
+                "reward": 1.581666628519694,
+                "creation_time": 1700692353.7133217,
+                "auxillary_file_paths": [
+                    "results/Pyramids Training/Pyramids/Pyramids-2499969.pt"
+                ]
+            },
+            {
+                "steps": 2694812,
+                "file_path": "results/Pyramids Training/Pyramids/Pyramids-2694812.onnx",
+                "reward": 1.7747499831020832,
+                "creation_time": 1700692803.7710514,
+                "auxillary_file_paths": [
+                    "results/Pyramids Training/Pyramids/Pyramids-2694812.pt"
+                ]
+            }
+        ],
+        "final_checkpoint": {
+            "steps": 2694812,
+            "file_path": "results/Pyramids Training/Pyramids.onnx",
+            "reward": 1.7747499831020832,
+            "creation_time": 1700692803.7710514,
+            "auxillary_file_paths": [
+                "results/Pyramids Training/Pyramids/Pyramids-2694812.pt"
+            ]
+        }
+    },
+    "metadata": {
+        "stats_format_version": "0.3.0",
+        "mlagents_version": "1.1.0.dev0",
+        "torch_version": "2.1.0+cu118"
+    }
+}