Update ExecuTorch pack to 1.4.1

.github/workflows/Build_RPS_AppKit-E8.yml

@@ -49,11 +49,6 @@ jobs:
           cpackget init https://www.keil.com/pack/index.pidx
           cpackget update-index
 
-      - name: Add Beta packs
-        working-directory: ./
-        run: |
-          cpackget add ./packs/PyTorch.ExecuTorch.1.1.0-rc1-build.12/PyTorch.ExecuTorch.pdsc --agree-embedded-license
-
       - name: Build the target-set
         working-directory: ./RockPaperScissors/AppKit-E8_USB
         run: |

.github/workflows/Build_RPS_Variants.yml

@@ -66,11 +66,6 @@ jobs:
           key: ModelNova
           path: /home/runner/.cache/arm/packs/.Download
 
-      - name: Add Beta packs
-        working-directory: ./
-        run: |
-          cpackget add ./packs/PyTorch.ExecuTorch.1.1.0-rc1-build.12/PyTorch.ExecuTorch.pdsc --agree-embedded-license
-
       - name: ${{matrix.context.tool}} Build-Test for context ${{matrix.context.proj}}.${{matrix.context.build-type}}+${{matrix.context.target-type}}
         working-directory: ${{matrix.context.dir}}
         run: |

.github/workflows/Test_RPS_SSE-320-U85.yml

@@ -53,11 +53,6 @@ jobs:
           cpackget init https://www.keil.com/pack/index.pidx
           cpackget update-index
 
-      - name: Add Beta packs
-        working-directory: ./
-        run: |
-          cpackget add ./packs/PyTorch.ExecuTorch.1.1.0-rc1-build.12/PyTorch.ExecuTorch.pdsc --agree-embedded-license
-
       - name: Build the target-set
         working-directory: ./RockPaperScissors/AppKit-E8_USB
         run: |

RockPaperScissors/AppKit-E8_USB/SDS.cbuild-pack.yml

@@ -31,6 +31,10 @@ cbuild-pack:
     - resolved-pack: Keil::MDK-Middleware@8.3.0
       selected-by-pack:
         - Keil::MDK-Middleware@^8.0.0
+    - resolved-pack: PyTorch::ExecuTorch@1.4.1
+      selected-by-pack:
+        - PyTorch::ExecuTorch
+        - PyTorch::ExecuTorch@1.4.1
     - resolved-pack: SEGGER::RTT@8.58.0
       selected-by-pack:
         - SEGGER::RTT@^8.58.0

RockPaperScissors/AppKit-E8_USB/algorithm/ML/ai_layer/ai_layer.clayer.yml

@@ -3,31 +3,25 @@ layer:
   description: Machine Learning layer for the Rock-Paper-Scissors game, utilizing a pre-trained model for inference on an Ethos-U NPU.
 
   packs:
-    - pack: PyTorch::ExecuTorch
-      path: ../../../../../packs/PyTorch.ExecuTorch.1.1.0-rc1-build.12
+    - pack: PyTorch::ExecuTorch@1.4.1
 
   define:
     - ET_LOG_ENABLED : 0
 
   components:
-    # ExecuTorch core runtime
-    - component: Machine Learning:ExecuTorch:Runtime
-    - component: Machine Learning:ExecuTorch:Kernel Utils
-    - component: Machine Learning:ExecuTorch:Kernel Registration
-    # Ethos-U NPU backend
-    - component: Machine Learning:ExecuTorch:Backend EthosU
-    # Bare-metal PAL stubs (replaces posix.cpp)
-    - component: Machine Learning:ExecuTorch:Platform Bare-Metal
-    # Random op stubs (no std::random_device on bare-metal)
-    - component: Machine Learning:ExecuTorch:Stubs RandomOps
-    # Quantized operators used by the RPS model
-    - component: Machine Learning:ExecuTorch:Operators Quantized quantize
-    - component: Machine Learning:ExecuTorch:Operators Quantized dequantize
+      # ExecuTorch core runtime (Runtime ships the weak bare-metal PAL).
+      - component: Machine Learning:ExecuTorch:Runtime
+      - component: Machine Learning:ExecuTorch:Kernel Utils
+      - component: Machine Learning:ExecuTorch:Kernel Registration
+      # Ethos-U NPU backend (the model is fully delegated to it).
+      - component: Machine Learning:ExecuTorch:Backend EthosU
+      # Quantized reference operators.
+      - component: Machine Learning:ExecuTorch Operators:Quantized dequantize
+      - component: Machine Learning:ExecuTorch Operators:Quantized quantize
 
   groups:
     # AI Model - replace this group with a ModelNova-generated model pack
     - group: Executorch Model
       files:
         - file: ./model/model_pte.h
         - file: ./model/REPORT.md
-