Revert "Lora example (#52)"

This reverts commit 5786f3f.

Author: lucylq

program-data-separation/README.md

@@ -27,7 +27,5 @@ To enable LoRA, we generate:
 
 Multiple LoRA-adapted PTE files can share the same foundation weights and adding a model adapted to a new task incurs minimal binary size and runtime memory overhead.
 
-Please take a look at [program-data-separation/cpp/lora_example](lora_example/) for a demo of the program-data separation APIs with LoRA. This example generates and runs a LoRA and a non-LoRA model that share foundation weights. At runtime, we see that memory usage does not double.
-
 ### Requirements
 LoRA is currently supported on executorch main. [Please install ExecuTorch pip package from source](https://docs.pytorch.org/executorch/stable/using-executorch-building-from-source.html#install-executorch-pip-package-from-source), until executorch==1.0 is released.

program-data-separation/cpp/CMakeLists.txt

@@ -14,57 +14,30 @@ option(EXECUTORCH_BUILD_EXTENSION_TENSOR "" ON)
 option(EXECUTORCH_BUILD_KERNELS_OPTIMIZED "" ON)
 option(EXECUTORCH_BUILD_XNNPACK "" ON)
 
-# Dependencies required for llm runner in lora demo.
-if(EXECUTORCH_BUILD_LORA_DEMO)
-option(EXECUTORCH_BUILD_EXTENSION_LLM "" ON)
-option(EXECUTORCH_BUILD_EXTENSION_LLM_RUNNER "" ON)
-option(EXECUTORCH_BUILD_KERNELS_LLM "" ON)
-option(EXECUTORCH_BUILD_KERNELS_LLM_AOT "" ON)
-endif()
-
-# Add ExecuTorch subdirectory, after setting options.
+# Add ExecuTorch subdirectory
 add_subdirectory("executorch")
 
-set(LINK_LIBS executorch
-              executorch::extensions
-              xnnpack_backend
-              # NOTE: xnnpack_backend has to go before
-              # kernels otherwise it doesn't get registered.
-              executorch::kernels
-              gflags
-)
-
-# Add sources and dependencies.
-set(DEMO_SOURCES "")
-if(EXECUTORCH_BUILD_LINEAR_DEMO)
-  list(APPEND DEMO_SOURCES "linear_example/main.cpp")
-endif()
-if(EXECUTORCH_BUILD_LORA_DEMO)
-  list(APPEND DEMO_SOURCES "lora_example/main.cpp")
-endif()
+set(DEMO_SOURCES linear_example/main.cpp)
 
 # Create executable
 add_executable(executorch_program_data_separation ${DEMO_SOURCES})
 
+# Include directories
+target_include_directories(executorch_program_data_separation PRIVATE ${CMAKE_CURRENT_SOURCE_DIR})
+
 # Link libraries
 target_link_libraries(
   executorch_program_data_separation
-  PRIVATE ${LINK_LIBS}
+  PRIVATE executorch
+          extension_module_static
+          extension_flat_tensor
+          extension_tensor
+          xnnpack_backend
+          portable_ops_lib
+          portable_kernels
+          gflags
 )
 
-# Include directories for lora demo.
-if(EXECUTORCH_BUILD_LORA_DEMO)
-  # Include directories
-  target_include_directories(executorch_program_data_separation PRIVATE
-      ${CMAKE_CURRENT_SOURCE_DIR}
-      ${CMAKE_CURRENT_SOURCE_DIR}/executorch/extension/llm/tokenizers/include
-  )
-  target_link_libraries(
-    executorch_program_data_separation
-    PUBLIC tokenizers::tokenizers
-  )
-endif()
-
 # Set output directory
 set_target_properties(executorch_program_data_separation
     PROPERTIES

program-data-separation/cpp/executorch

@@ -7,7 +7,7 @@ mkdir -p build
 cd build
 
 # Configure CMake
-cmake -DCMAKE_BUILD_TYPE=Release -DEXECUTORCH_BUILD_LINEAR_DEMO=True  ../..
+cmake -DCMAKE_BUILD_TYPE=Release ../..
 
 # Build the project
 cmake --build . -j$(nproc)