first push

.gitattributes

@@ -2,34 +2,26 @@
 *.arrow filter=lfs diff=lfs merge=lfs -text
 *.bin filter=lfs diff=lfs merge=lfs -text
 *.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
 *.ftz filter=lfs diff=lfs merge=lfs -text
 *.gz filter=lfs diff=lfs merge=lfs -text
 *.h5 filter=lfs diff=lfs merge=lfs -text
 *.joblib filter=lfs diff=lfs merge=lfs -text
 *.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
 *.model filter=lfs diff=lfs merge=lfs -text
 *.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
 *.onnx filter=lfs diff=lfs merge=lfs -text
 *.ot filter=lfs diff=lfs merge=lfs -text
 *.parquet filter=lfs diff=lfs merge=lfs -text
 *.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
 *.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
 saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
 *.tflite filter=lfs diff=lfs merge=lfs -text
 *.tgz filter=lfs diff=lfs merge=lfs -text
 *.wasm filter=lfs diff=lfs merge=lfs -text
 *.xz filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

Pyramids.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:248fa3aae13a6403d2fab3c25755423171ff5eb1068ff3d1441baf937485200d
+size 1417437

Pyramids/Pyramids-1786398.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4cc5f301ba2e7a2a525db260b1edf00f842d70d2241ef31594bad2c008c547b1
+size 1417437

Pyramids/Pyramids-1786398.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4ef68326bdbd81b3ed40a79b86115b50d55f0ecd51f88a456e572e995b5e2fd4
+size 8652884

Pyramids/Pyramids-1999992.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:78edbe1492721cc267ce92e5550b9ce420bb3c8488c785f785dfe51a19f3e879
+size 1417437

Pyramids/Pyramids-1999992.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bdcc233ae906045638e110f11a858c706cb7b7e2134badc392bb3e854c60c6f7
+size 8652884

Pyramids/Pyramids-2499976.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f1039b198d4a555c87369ba376faab8fcbcb357ff4de5b7c9eebf6c3096205d
+size 1417437

Pyramids/Pyramids-2499976.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc3899bdb9bc37087004beb27936cec2753d8a8dc4ca4c93b27375ff4141abc7
+size 8652884

Pyramids/Pyramids-2999998.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:248fa3aae13a6403d2fab3c25755423171ff5eb1068ff3d1441baf937485200d
+size 1417437

Pyramids/Pyramids-2999998.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:473b65b16134aa8b106f32ffea6373e55b573ca13b572d228c1452ae87ef1f54
+size 8652948

Pyramids/Pyramids-3000126.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:248fa3aae13a6403d2fab3c25755423171ff5eb1068ff3d1441baf937485200d
+size 1417437

Pyramids/Pyramids-3000126.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c93e6bc266a49b2ccc36b086c37858f2090f5d0edd6df9439c7fcf344bc6b404
+size 8652948

Pyramids/checkpoint.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c93e6bc266a49b2ccc36b086c37858f2090f5d0edd6df9439c7fcf344bc6b404
+size 8652948

Pyramids/events.out.tfevents.1656123955.fork.59979.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf56d337d037ad9e341525bf6545f7ec514f52363883c3cf032a7e8a14359c71
+size 407677

Pyramids/events.out.tfevents.1656126075.fork.72450.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:59ce5462df9669a2c23f282e1d024dcc1b60fd919cfb4e55c5882e06b2bf287f
+size 74756

Pyramids/events.out.tfevents.1656126508.fork.76521.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2efa6e880df74b185c8b8baa91a22be4f5d5c10c7f440c67e686c3828dacc4c7
+size 74804

Pyramids/events.out.tfevents.1656126924.fork.78855.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6dd076a3d7eb6467cd9add7357bdf8d0fa9404372457c25b33deaf923cb77a3a
+size 407437

README.md

@@ -0,0 +1,31 @@
+
+---
+      tags:
+      - unity-ml-agents
+      - ml-agents
+      - deep-reinforcement-learning
+      - reinforcement-learning
+      - ML-Agents-Pyramids
+      library_name: ml-agents
+---
+    
+  # **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://github.com/huggingface/ml-agents#get-started
+  We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
+
+
+  ### Resume the training
+  ```
+  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. Go to https://huggingface.co/spaces/unity/ML-Agents-Pyramids
+  2. Step 1: Write your model_id: helamri/MLAgents-Pyramids
+  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, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "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, "checkpoint_interval": 500000, "max_steps": 3000000, "time_horizon": 128, "summary_freq": 30000, "threaded": false, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "trained-envs-executables/Linux/Pyramids/Pyramids", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "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": "First Training", "initialize_from": null, "load_model": false, "resume": true, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": "cuda:0"}, "debug": false}

configuration.yaml

@@ -0,0 +1,88 @@
+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
+      learning_rate_schedule: linear
+      beta_schedule: linear
+      epsilon_schedule: linear
+    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
+    checkpoint_interval: 500000
+    max_steps: 3000000
+    time_horizon: 128
+    summary_freq: 30000
+    threaded: false
+    self_play: null
+    behavioral_cloning: null
+env_settings:
+  env_path: trained-envs-executables/Linux/Pyramids/Pyramids
+  env_args: null
+  base_port: 5005
+  num_envs: 1
+  num_areas: 1
+  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: First Training
+  initialize_from: null
+  load_model: false
+  resume: true
+  force: false
+  train_model: false
+  inference: false
+  results_dir: results
+torch_settings:
+  device: cuda:0
+debug: false

run_logs/Player-0.log

@@ -0,0 +1,324 @@
+Mono path[0] = '/home/fork/ml-agents/trained-envs-executables/Linux/Pyramids/Pyramids_Data/Managed'
+Mono config path = '/home/fork/ml-agents/trained-envs-executables/Linux/Pyramids/Pyramids_Data/MonoBleedingEdge/etc'
+Found 1 interfaces on host : 0) 192.168.41.40
+Multi-casting "[IP] 192.168.41.40 [Port] 55030 [Flags] 2 [Guid] 236360334 [EditorId] 764847374 [Version] 1048832 [Id] LinuxPlayer(13,192.168.41.40) [Debug] 0 [PackageName] LinuxPlayer [ProjectName] UnityEnvironment" to [225.0.0.222:54997]...
+Preloaded 'lib_burst_generated.so'
+Preloaded 'libgrpc_csharp_ext.x64.so'
+Initialize engine version: 2021.3.5f1 (40eb3a945986)
+[Subsystems] Discovering subsystems at path /home/fork/ml-agents/trained-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
+Begin MonoManager ReloadAssembly
+- Completed reload, in  0.079 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: 0.609554 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 4 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]: 5174 frames, [32.0 KB-64.0 KB]: 10209 frames, [64.0 KB-128.0 KB]: 7389 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_Job.Worker 4]
+      Initial Block Size 256.0 KB
+      Current Block Size 256.0 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_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_Job.Worker 1]
+      Initial Block Size 256.0 KB
+      Current Block Size 256.0 KB
+      Peak Allocated Bytes 0.8 KB
+      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_AUDIO_FMOD PulseAudio Mixer]
+      Initial Block Size 64.0 KB
+      Current Block Size 64.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Profiler.Dispatcher]
+      Initial Block Size 64.0 KB
+      Current Block Size 64.0 KB
+      Peak Allocated Bytes 0.9 KB
+      Overflow Count 0
+    [ALLOC_TEMP_Job.Worker 3]
+      Initial Block Size 256.0 KB
+      Current Block Size 256.0 KB
+      Peak Allocated Bytes 0 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] x 7
+      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_Job.Worker 2]
+      Initial Block Size 256.0 KB
+      Current Block Size 256.0 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 6]
+      Initial Block Size 256.0 KB
+      Current Block Size 256.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Job.Worker 5]
+      Initial Block Size 256.0 KB
+      Current Block Size 256.0 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_Job.Worker 0]
+      Initial Block Size 256.0 KB
+      Current Block Size 256.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_EnlightenWorker] x 4
+      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 9]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 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]: 63 frames, [1.0 MB-2.0 MB]: 22710 frames
+  Requested Block Size 1.0 MB
+  Peak Block count 2
+  Peak Allocated memory 1.1 MB
+  Peak Large allocation bytes 0 B
+[ALLOC_DEFAULT] Dual Thread Allocator
+  Peak main deferred allocation count 1803
+    [ALLOC_BUCKET]
+      Large Block size 4.0 MB
+      Used Block count 1
+      Peak Allocated bytes 1.4 MB
+    [ALLOC_DEFAULT_MAIN]
+      Peak usage frame count: [8.0 MB-16.0 MB]: 1 frames, [16.0 MB-32.0 MB]: 22772 frames
+      Requested Block Size 16.0 MB
+      Peak Block count 3
+      Peak Allocated memory 25.1 MB
+      Peak Large allocation bytes 0 B
+    [ALLOC_DEFAULT_THREAD]
+      Peak usage frame count: [16.0 MB-32.0 MB]: 22773 frames
+      Requested Block Size 16.0 MB
+      Peak Block count 1
+      Peak Allocated memory 24.4 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 1.4 MB
+    [ALLOC_GFX_MAIN]
+      Peak usage frame count: [32.0 KB-64.0 KB]: 22772 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]: 22773 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 1.4 MB
+    [ALLOC_CACHEOBJECTS_MAIN]
+      Peak usage frame count: [0.5 MB-1.0 MB]: 47 frames, [1.0 MB-2.0 MB]: 22726 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]: 22772 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 1.4 MB
+    [ALLOC_TYPETREE_MAIN]
+      Peak usage frame count: [0-1.0 KB]: 22773 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]: 22773 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]: 22773 frames
+  Requested Block Size 16.0 MB
+  Peak Block count 1
+  Peak Allocated memory 31.4 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":1656128907378,"processId":78888,"allocatedMemory":1976148,"memoryLabels":[{"Default":9033},{"Permanent":1264},{"NewDelete":12801},{"Thread":34628},{"Manager":13967},{"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":3482},{"DynamicArray":30868},{"HashMap":7680},{"Utility":3808},{"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 +1,405 @@
+{
+    "name": "root",
+    "gauges": {
+        "Pyramids.Policy.Entropy.mean": {
+            "value": 0.20098835229873657,
+            "min": 0.1905842274427414,
+            "max": 0.3273382782936096,
+            "count": 41
+        },
+        "Pyramids.Policy.Entropy.sum": {
+            "value": 6016.787109375,
+            "min": 4658.0146484375,
+            "max": 9935.37109375,
+            "count": 41
+        },
+        "Pyramids.Environment.EpisodeLength.mean": {
+            "value": 242.45,
+            "min": 212.58778625954199,
+            "max": 347.2087912087912,
+            "count": 41
+        },
+        "Pyramids.Environment.EpisodeLength.sum": {
+            "value": 29094.0,
+            "min": 9657.0,
+            "max": 32101.0,
+            "count": 41
+        },
+        "Pyramids.Step.mean": {
+            "value": 2999998.0,
+            "min": 1799931.0,
+            "max": 2999998.0,
+            "count": 41
+        },
+        "Pyramids.Step.sum": {
+            "value": 2999998.0,
+            "min": 1799931.0,
+            "max": 2999998.0,
+            "count": 41
+        },
+        "Pyramids.Policy.ExtrinsicValueEstimate.mean": {
+            "value": 0.7147245407104492,
+            "min": 0.5930624604225159,
+            "max": 0.8102691173553467,
+            "count": 41
+        },
+        "Pyramids.Policy.ExtrinsicValueEstimate.sum": {
+            "value": 207.98483276367188,
+            "min": 74.12632751464844,
+            "max": 240.64993286132812,
+            "count": 41
+        },
+        "Pyramids.Policy.RndValueEstimate.mean": {
+            "value": 0.014350265264511108,
+            "min": -0.008211393840610981,
+            "max": 0.029343511909246445,
+            "count": 41
+        },
+        "Pyramids.Policy.RndValueEstimate.sum": {
+            "value": 4.17592716217041,
+            "min": -2.3977270126342773,
+            "max": 8.421587944030762,
+            "count": 41
+        },
+        "Pyramids.Environment.CumulativeReward.mean": {
+            "value": 1.7242083196838698,
+            "min": 1.4989076720161751,
+            "max": 1.7874121977627733,
+            "count": 41
+        },
+        "Pyramids.Environment.CumulativeReward.sum": {
+            "value": 206.90499836206436,
+            "min": 62.34299957752228,
+            "max": 234.1509979069233,
+            "count": 41
+        },
+        "Pyramids.Policy.ExtrinsicReward.mean": {
+            "value": 1.7242083196838698,
+            "min": 1.4989076720161751,
+            "max": 1.7874121977627733,
+            "count": 41
+        },
+        "Pyramids.Policy.ExtrinsicReward.sum": {
+            "value": 206.90499836206436,
+            "min": 62.34299957752228,
+            "max": 234.1509979069233,
+            "count": 41
+        },
+        "Pyramids.Policy.RndReward.mean": {
+            "value": 0.020705985120730474,
+            "min": 0.018862549592183194,
+            "max": 0.031432837420119666,
+            "count": 41
+        },
+        "Pyramids.Policy.RndReward.sum": {
+            "value": 2.484718214487657,
+            "min": 0.7802353762090206,
+            "max": 3.111850904591847,
+            "count": 41
+        },
+        "Pyramids.Losses.PolicyLoss.mean": {
+            "value": 0.0707786365126681,
+            "min": 0.06456055554112286,
+            "max": 0.07226113428580848,
+            "count": 41
+        },
+        "Pyramids.Losses.PolicyLoss.sum": {
+            "value": 0.9909009111773533,
+            "min": 0.4180760901654139,
+            "max": 1.0358603657017846,
+            "count": 41
+        },
+        "Pyramids.Losses.ValueLoss.mean": {
+            "value": 0.01765750899184717,
+            "min": 0.011768245224500007,
+            "max": 0.01780292463183327,
+            "count": 41
+        },
+        "Pyramids.Losses.ValueLoss.sum": {
+            "value": 0.24720512588586036,
+            "min": 0.08460816983521606,
+            "max": 0.25633822100159404,
+            "count": 41
+        },
+        "Pyramids.Policy.LearningRate.mean": {
+            "value": 1.549992340511902e-06,
+            "min": 1.549992340511902e-06,
+            "max": 0.00012063059312315555,
+            "count": 41
+        },
+        "Pyramids.Policy.LearningRate.sum": {
+            "value": 2.1699892767166628e-05,
+            "min": 2.1699892767166628e-05,
+            "max": 0.0016875695374771332,
+            "count": 41
+        },
+        "Pyramids.Policy.Epsilon.mean": {
+            "value": 0.10051663095238096,
+            "min": 0.10051663095238096,
+            "max": 0.14021017777777778,
+            "count": 41
+        },
+        "Pyramids.Policy.Epsilon.sum": {
+            "value": 1.4072328333333335,
+            "min": 0.8412610666666667,
+            "max": 2.062522866666667,
+            "count": 41
+        },
+        "Pyramids.Policy.Beta.mean": {
+            "value": 6.161143214285705e-05,
+            "min": 6.161143214285705e-05,
+            "max": 0.004026996759999999,
+            "count": 41
+        },
+        "Pyramids.Policy.Beta.sum": {
+            "value": 0.0008625600499999988,
+            "min": 0.0008625600499999988,
+            "max": 0.05634603438000001,
+            "count": 41
+        },
+        "Pyramids.Losses.RNDLoss.mean": {
+            "value": 0.008187584578990936,
+            "min": 0.007832600735127926,
+            "max": 0.009348301216959953,
+            "count": 41
+        },
+        "Pyramids.Losses.RNDLoss.sum": {
+            "value": 0.11462618410587311,
+            "min": 0.046995606273412704,
+            "max": 0.13564544916152954,
+            "count": 41
+        },
+        "Pyramids.IsTraining.mean": {
+            "value": 1.0,
+            "min": 1.0,
+            "max": 1.0,
+            "count": 41
+        },
+        "Pyramids.IsTraining.sum": {
+            "value": 1.0,
+            "min": 1.0,
+            "max": 1.0,
+            "count": 41
+        }
+    },
+    "metadata": {
+        "timer_format_version": "0.1.0",
+        "start_time_seconds": "1656126923",
+        "python_version": "3.8.13 (default, Mar 28 2022, 11:38:47) \n[GCC 7.5.0]",
+        "command_line_arguments": "/home/fork/anaconda3/bin/mlagents-learn config/ppo/PyramidsRND.yaml --env=trained-envs-executables/Linux/Pyramids/Pyramids --run-id=First Training --no-graphics --resume --torch-device cuda:0",
+        "mlagents_version": "0.29.0.dev0",
+        "mlagents_envs_version": "0.29.0.dev0",
+        "communication_protocol_version": "1.5.0",
+        "pytorch_version": "1.8.1+cu102",
+        "numpy_version": "1.23.0",
+        "end_time_seconds": "1656128907"
+    },
+    "total": 1983.833760952999,
+    "count": 1,
+    "self": 0.3226226089991542,
+    "children": {
+        "run_training.setup": {
+            "total": 0.01962070199988375,
+            "count": 1,
+            "self": 0.01962070199988375
+        },
+        "TrainerController.start_learning": {
+            "total": 1983.491517642,
+            "count": 1,
+            "self": 1.7160227289095928,
+            "children": {
+                "TrainerController._reset_env": {
+                    "total": 2.8484658879988274,
+                    "count": 1,
+                    "self": 2.8484658879988274
+                },
+                "TrainerController.advance": {
+                    "total": 1978.8429443240893,
+                    "count": 79452,
+                    "self": 1.793405745362179,
+                    "children": {
+                        "env_step": {
+                            "total": 1253.4297236697494,
+                            "count": 79452,
+                            "self": 1128.186176941099,
+                            "children": {
+                                "SubprocessEnvManager._take_step": {
+                                    "total": 124.21656780874218,
+                                    "count": 79452,
+                                    "self": 4.788859733611389,
+                                    "children": {
+                                        "TorchPolicy.evaluate": {
+                                            "total": 119.4277080751308,
+                                            "count": 75910,
+                                            "self": 44.28934661207131,
+                                            "children": {
+                                                "TorchPolicy.sample_actions": {
+                                                    "total": 75.13836146305948,
+                                                    "count": 75910,
+                                                    "self": 75.13836146305948
+                                                }
+                                            }
+                                        }
+                                    }
+                                },
+                                "workers": {
+                                    "total": 1.026978919908288,
+                                    "count": 79452,
+                                    "self": 0.0,
+                                    "children": {
+                                        "worker_root": {
+                                            "total": 1980.6225938820353,
+                                            "count": 79452,
+                                            "is_parallel": true,
+                                            "self": 965.2931823529743,
+                                            "children": {
+                                                "run_training.setup": {
+                                                    "total": 0.0,
+                                                    "count": 0,
+                                                    "is_parallel": true,
+                                                    "self": 0.0,
+                                                    "children": {
+                                                        "steps_from_proto": {
+                                                            "total": 0.001265589000468026,
+                                                            "count": 1,
+                                                            "is_parallel": true,
+                                                            "self": 0.00041130900353891775,
+                                                            "children": {
+                                                                "_process_rank_one_or_two_observation": {
+                                                                    "total": 0.0008542799969291082,
+                                                                    "count": 8,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.0008542799969291082
+                                                                }
+                                                            }
+                                                        },
+                                                        "UnityEnvironment.step": {
+                                                            "total": 0.031843670998568996,
+                                                            "count": 1,
+                                                            "is_parallel": true,
+                                                            "self": 0.0002871819979191059,
+                                                            "children": {
+                                                                "UnityEnvironment._generate_step_input": {
+                                                                    "total": 0.00023742400117043871,
+                                                                    "count": 1,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.00023742400117043871
+                                                                },
+                                                                "communicator.exchange": {
+                                                                    "total": 0.03044660399973509,
+                                                                    "count": 1,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.03044660399973509
+                                                                },
+                                                                "steps_from_proto": {
+                                                                    "total": 0.0008724609997443622,
+                                                                    "count": 1,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.0002752759992290521,
+                                                                    "children": {
+                                                                        "_process_rank_one_or_two_observation": {
+                                                                            "total": 0.0005971850005153101,
+                                                                            "count": 8,
+                                                                            "is_parallel": true,
+                                                                            "self": 0.0005971850005153101
+                                                                        }
+                                                                    }
+                                                                }
+                                                            }
+                                                        }
+                                                    }
+                                                },
+                                                "UnityEnvironment.step": {
+                                                    "total": 1015.329411529061,
+                                                    "count": 79451,
+                                                    "is_parallel": true,
+                                                    "self": 24.373401482240297,
+                                                    "children": {
+                                                        "UnityEnvironment._generate_step_input": {
+                                                            "total": 19.148204889042972,
+                                                            "count": 79451,
+                                                            "is_parallel": true,
+                                                            "self": 19.148204889042972
+                                                        },
+                                                        "communicator.exchange": {
+                                                            "total": 893.1059470398413,
+                                                            "count": 79451,
+                                                            "is_parallel": true,
+                                                            "self": 893.1059470398413
+                                                        },
+                                                        "steps_from_proto": {
+                                                            "total": 78.70185811793635,
+                                                            "count": 79451,
+                                                            "is_parallel": true,
+                                                            "self": 19.52036945575128,
+                                                            "children": {
+                                                                "_process_rank_one_or_two_observation": {
+                                                                    "total": 59.181488662185075,
+                                                                    "count": 635608,
+                                                                    "is_parallel": true,
+                                                                    "self": 59.181488662185075
+                                                                }
+                                                            }
+                                                        }
+                                                    }
+                                                }
+                                            }
+                                        }
+                                    }
+                                }
+                            }
+                        },
+                        "trainer_advance": {
+                            "total": 723.6198149089778,
+                            "count": 79452,
+                            "self": 3.109344066671838,
+                            "children": {
+                                "process_trajectory": {
+                                    "total": 161.9423343703038,
+                                    "count": 79452,
+                                    "self": 161.65118073230406,
+                                    "children": {
+                                        "RLTrainer._checkpoint": {
+                                            "total": 0.2911536379997415,
+                                            "count": 3,
+                                            "self": 0.2911536379997415
+                                        }
+                                    }
+                                },
+                                "_update_policy": {
+                                    "total": 558.5681364720022,
+                                    "count": 574,
+                                    "self": 177.202636010099,
+                                    "children": {
+                                        "TorchPPOOptimizer.update": {
+                                            "total": 381.36550046190314,
+                                            "count": 27627,
+                                            "self": 381.36550046190314
+                                        }
+                                    }
+                                }
+                            }
+                        }
+                    }
+                },
+                "trainer_threads": {
+                    "total": 8.040005923248827e-07,
+                    "count": 1,
+                    "self": 8.040005923248827e-07
+                },
+                "TrainerController._save_models": {
+                    "total": 0.08408389700161933,
+                    "count": 1,
+                    "self": 0.0014261760024965042,
+                    "children": {
+                        "RLTrainer._checkpoint": {
+                            "total": 0.08265772099912283,
+                            "count": 1,
+                            "self": 0.08265772099912283
+                        }
+                    }
+                }
+            }
+        }
+    }
+}

run_logs/training_status.json

@@ -0,0 +1,65 @@
+{
+    "Pyramids": {
+        "checkpoints": [
+            {
+                "steps": 1786398,
+                "file_path": "results/First Training/Pyramids/Pyramids-1786398.onnx",
+                "reward": 1.7385000213980675,
+                "creation_time": 1656126910.1296706,
+                "auxillary_file_paths": [
+                    "results/First Training/Pyramids/Pyramids-1786398.pt"
+                ]
+            },
+            {
+                "steps": 1999992,
+                "file_path": "results/First Training/Pyramids/Pyramids-1999992.onnx",
+                "reward": 1.940999984741211,
+                "creation_time": 1656127281.859099,
+                "auxillary_file_paths": [
+                    "results/First Training/Pyramids/Pyramids-1999992.pt"
+                ]
+            },
+            {
+                "steps": 2499976,
+                "file_path": "results/First Training/Pyramids/Pyramids-2499976.onnx",
+                "reward": null,
+                "creation_time": 1656128109.665968,
+                "auxillary_file_paths": [
+                    "results/First Training/Pyramids/Pyramids-2499976.pt"
+                ]
+            },
+            {
+                "steps": 2999998,
+                "file_path": "results/First Training/Pyramids/Pyramids-2999998.onnx",
+                "reward": 1.7158333311478298,
+                "creation_time": 1656128907.039735,
+                "auxillary_file_paths": [
+                    "results/First Training/Pyramids/Pyramids-2999998.pt"
+                ]
+            },
+            {
+                "steps": 3000126,
+                "file_path": "results/First Training/Pyramids/Pyramids-3000126.onnx",
+                "reward": 1.7158333311478298,
+                "creation_time": 1656128907.1360788,
+                "auxillary_file_paths": [
+                    "results/First Training/Pyramids/Pyramids-3000126.pt"
+                ]
+            }
+        ],
+        "final_checkpoint": {
+            "steps": 3000126,
+            "file_path": "results/First Training/Pyramids.onnx",
+            "reward": 1.7158333311478298,
+            "creation_time": 1656128907.1360788,
+            "auxillary_file_paths": [
+                "results/First Training/Pyramids/Pyramids-3000126.pt"
+            ]
+        }
+    },
+    "metadata": {
+        "stats_format_version": "0.3.0",
+        "mlagents_version": "0.29.0.dev0",
+        "torch_version": "1.8.1+cu102"
+    }
+}