up

Author: metascroy

docs/source/using-executorch-ios.md

@@ -14,6 +14,7 @@ The ExecuTorch Runtime for iOS and macOS (ARM64) is distributed as a collection
 * `kernels_llm` - Custom kernels for LLMs
 * `kernels_optimized` - Accelerated generic CPU kernels
 * `kernels_quantized` - Quantized kernels
+* `kernels_torchao` - Quantized CPU kernels from torchao
 
 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.
 

examples/models/llama/CMakeLists.txt

@@ -123,7 +123,9 @@ endif()
 
 if(EXECUTORCH_BUILD_KERNELS_TORCHAO_MPS)
   # Currently only enable this on Arm-based Macs
-  if(CMAKE_SYSTEM_NAME STREQUAL "Darwin" AND CMAKE_SYSTEM_PROCESSOR STREQUAL "arm64")
+  if(CMAKE_SYSTEM_NAME STREQUAL "Darwin" AND CMAKE_SYSTEM_PROCESSOR STREQUAL
+                                             "arm64"
+  )
     if(EXECUTORCH_BUILD_MPS)
       add_subdirectory(
         ${CMAKE_CURRENT_SOURCE_DIR}/../../../third-party/ao/torchao/experimental/ops/mps