Retire kernels_portable framework in favor of kernels_optimized (#11226)

Author: shoumikhin

.Package.swift/kernels_portable/dummy.swift

@@ -154,7 +154,6 @@ jobs:
           "backend_xnnpack"
           "kernels_custom"
           "kernels_optimized"
-          "kernels_portable"
           "kernels_quantized"
           "threadpool"
         )

.Package.swift/kernels_portable_debug/dummy.swift

@@ -78,7 +78,6 @@ let products = deliverables([
       "threadpool",
     ],
   ],
-  "kernels_portable": [:],
   "kernels_quantized": [:],
 ])
 

.github/workflows/apple.yml

@@ -11,8 +11,7 @@ The ExecuTorch Runtime for iOS and macOS is distributed as a collection of prebu
 * `backend_mps` - MPS backend
 * `backend_xnnpack` - XNNPACK backend
 * `kernels_custom` - Custom kernels for LLMs
-* `kernels_optimized` - Optimized kernels
-* `kernels_portable` - Portable kernels (naive implementation used as a reference)
+* `kernels_optimized` - Accelerated generic CPU kernels
 * `kernels_quantized` - Quantized kernels
 
 Link your binary with the ExecuTorch runtime and any backends or kernels used by the exported ML model. It is recommended to link the core runtime to the components that use ExecuTorch directly, and link kernels and backends against the main app target.
@@ -66,7 +65,7 @@ let package = Package(
       dependencies: [
         .product(name: "executorch", package: "executorch"),
         .product(name: "backend_xnnpack", package: "executorch"),
-        .product(name: "kernels_portable", package: "executorch"),
+        .product(name: "kernels_optimized", package: "executorch"),
         // Add other backends and kernels as needed.
       ]),
   ]

Package.swift

@@ -65,11 +65,6 @@ liboptimized_native_cpu_ops_lib.a,\
 libportable_kernels.a,\
 :"
 
-FRAMEWORK_KERNELS_PORTABLE="kernels_portable:\
-libportable_kernels.a,\
-libportable_ops_lib.a,\
-:"
-
 FRAMEWORK_KERNELS_QUANTIZED="kernels_quantized:\
 libquantized_kernels.a,\
 libquantized_ops_lib.a,\
@@ -86,7 +81,6 @@ usage() {
   echo "  --custom             Only build the Custom kernels."
   echo "  --mps                Only build the Metal Performance Shaders backend."
   echo "  --optimized          Only build the Optimized kernels."
-  echo "  --portable           Only build the Portable kernels."
   echo "  --quantized          Only build the Quantized kernels."
   echo "  --xnnpack            Only build the XNNPACK backend."
   echo
@@ -104,7 +98,6 @@ set_cmake_options_override() {
       "-DEXECUTORCH_BUILD_KERNELS_CUSTOM=OFF"
       "-DEXECUTORCH_BUILD_MPS=OFF"
       "-DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=OFF"
-      "-DEXECUTORCH_BUILD_PORTABLE_OPS=OFF"
       "-DEXECUTORCH_BUILD_KERNELS_QUANTIZED=OFF"
       "-DEXECUTORCH_BUILD_XNNPACK=OFF"
     )
@@ -135,7 +128,6 @@ for arg in "$@"; do
       --custom) set_cmake_options_override "EXECUTORCH_BUILD_KERNELS_CUSTOM" ;;
       --mps) set_cmake_options_override "EXECUTORCH_BUILD_MPS" ;;
       --optimized) set_cmake_options_override "EXECUTORCH_BUILD_KERNELS_OPTIMIZED" ;;
-      --portable) set_cmake_options_override "EXECUTORCH_BUILD_PORTABLE_OPS" ;;
       --quantized) set_cmake_options_override "EXECUTORCH_BUILD_KERNELS_QUANTIZED" ;;
       --xnnpack) set_cmake_options_override "EXECUTORCH_BUILD_XNNPACK" ;;
       *)
@@ -240,7 +232,6 @@ for mode in "${MODES[@]}"; do
   append_framework_flag "EXECUTORCH_BUILD_XNNPACK" "$FRAMEWORK_BACKEND_XNNPACK" "$mode"
   append_framework_flag "EXECUTORCH_BUILD_KERNELS_CUSTOM" "$FRAMEWORK_KERNELS_CUSTOM" "$mode"
   append_framework_flag "EXECUTORCH_BUILD_KERNELS_OPTIMIZED" "$FRAMEWORK_KERNELS_OPTIMIZED" "$mode"
-  append_framework_flag "EXECUTORCH_BUILD_PORTABLE_OPS" "$FRAMEWORK_KERNELS_PORTABLE" "$mode"
   append_framework_flag "EXECUTORCH_BUILD_KERNELS_QUANTIZED" "$FRAMEWORK_KERNELS_QUANTIZED" "$mode"
 
   cd "${OUTPUT_DIR}"