[ARMNN EP] Remove ArmNN Execution Provider

Align with release-note deprecation/removal of ArmNN EP.

Author: walidbr

.github/ISSUE_TEMPLATE/05-performance.yml

@@ -113,7 +113,6 @@ body:
         - TensorRT
         - NNAPI
         - ACL
-        - ArmNN
         - MIGraphX
         - Rockchip NPU
         - SNPE

.github/ISSUE_TEMPLATE/08-general.yml

@@ -111,7 +111,6 @@ body:
         - TensorRT
         - NNAPI
         - ACL
-        - ArmNN
         - MIGraphX
         - Rockchip NPU
         - SNPE

.github/labeler.yml

@@ -2,7 +2,6 @@ api:CSharp: '/(\bc\s*sharp\b|\bc#)/i'
 api:java: '/\bjava\b/i'
 api:javascript: '/\bjavascript\b/i'
 ep:ACL: '/\bacl\b/i'
-ep:ArmNN: '/\barmnn\b/i'
 ep:CANN: '/\bcann\b/i'
 ep:CoreML: '/\bcore\s*ml\b/i'
 ep:DML: '/(\bdirect\s*ml\b|\bdml\b)/i'

cmake/CMakeLists.txt

@@ -136,9 +136,6 @@ option(onnxruntime_USE_DML "Build with DirectML support" OFF)
 option(onnxruntime_USE_MIGRAPHX "Build with AMDMIGraphX support" OFF)
 option(onnxruntime_USE_WINML "Build with WinML support" OFF)
 option(onnxruntime_USE_ACL "Build with ACL support" OFF)
-option(onnxruntime_USE_ARMNN "Build with ArmNN support" OFF)
-option(onnxruntime_ARMNN_RELU_USE_CPU "Use the CPU implementation for the Relu operator for the ArmNN EP" ON)
-option(onnxruntime_ARMNN_BN_USE_CPU "Use the CPU implementation for the Batch Normalization operator for the ArmNN EP" ON)
 option(onnxruntime_ENABLE_INSTRUMENT "Enable Instrument with Event Tracing for Windows (ETW)" OFF)
 option(onnxruntime_USE_TELEMETRY "Build with Telemetry" OFF)
 cmake_dependent_option(onnxruntime_USE_MIMALLOC "Override new/delete and arena allocator with mimalloc" OFF "WIN32;NOT onnxruntime_USE_CUDA;NOT onnxruntime_USE_OPENVINO" OFF)
@@ -932,10 +929,6 @@ if (onnxruntime_USE_MIGRAPHX_INTERFACE AND (NOT onnxruntime_USE_MIGRAPHX))
     list(APPEND ORT_PROVIDER_FLAGS -DUSE_MIGRAPHX_PROVIDER_INTERFACE=1)
 endif()
 
-if (onnxruntime_USE_ARMNN)
-    list(APPEND ORT_PROVIDER_FLAGS  -DUSE_ARMNN=1)
-    list(APPEND ONNXRUNTIME_PROVIDER_NAMES armnn)
-endif()
 if (onnxruntime_USE_COREML)
     list(APPEND ORT_PROVIDER_FLAGS  -DUSE_COREML=1)
     list(APPEND ONNXRUNTIME_PROVIDER_NAMES coreml)
@@ -1310,37 +1303,6 @@ if (onnxruntime_USE_ACL)
 
 endif()
 
-# ArmNN
-if (onnxruntime_USE_ARMNN)
-  if (NOT onnxruntime_ARMNN_RELU_USE_CPU)
-    add_definitions(-DRELU_ARMNN=1)
-  endif()
-  if (NOT onnxruntime_ARMNN_BN_USE_CPU)
-    add_definitions(-DBN_ARMNN=1)
-  endif()
-
-  if (NOT onnxruntime_USE_ACL AND NOT ${onnxruntime_ACL_LIBS} STREQUAL "")
-    add_library(arm_compute SHARED IMPORTED)
-    set_target_properties(arm_compute PROPERTIES
-        IMPORTED_NO_SONAME 1
-        IMPORTED_LOCATION "${onnxruntime_ACL_LIBS}/libarm_compute.so")
-
-    add_library(arm_compute_graph SHARED IMPORTED)
-    set_target_properties(arm_compute_graph PROPERTIES
-        IMPORTED_NO_SONAME 1
-        IMPORTED_LOCATION "${onnxruntime_ACL_LIBS}/libarm_compute_graph.so")
-  endif()
-
-  if (NOT ${onnxruntime_ARMNN_LIBS} STREQUAL "")
-    add_library(armnn SHARED IMPORTED)
-    set_target_properties(armnn PROPERTIES
-        IMPORTED_NO_SONAME 1
-        IMPORTED_LOCATION "${onnxruntime_ARMNN_LIBS}/libarmnn.so")
-  endif()
-
-  list(APPEND onnxruntime_EXTERNAL_LIBRARIES armnn arm_compute arm_compute_graph)
-endif()
-
 if (onnxruntime_USE_DNNL)
   include(dnnl)
   add_compile_definitions(DNNL_OPENMP)

cmake/onnxruntime.cmake

@@ -218,7 +218,6 @@ endif()
 
 set(onnxruntime_INTERNAL_PROVIDER_LIBRARIES
   ${PROVIDERS_ACL}
-  ${PROVIDERS_ARMNN}
   ${PROVIDERS_COREML}
   ${PROVIDERS_DML}
   ${PROVIDERS_NNAPI}

cmake/onnxruntime_providers.cmake

@@ -92,10 +92,6 @@ endif()
 if(onnxruntime_USE_ACL)
   set(PROVIDERS_ACL onnxruntime_providers_acl)
 endif()
-if(onnxruntime_USE_ARMNN)
-  set(PROVIDERS_ARMNN onnxruntime_providers_armnn)
-endif()
-
 if (onnxruntime_USE_XNNPACK)
   set(PROVIDERS_XNNPACK onnxruntime_providers_xnnpack)
 endif()
@@ -182,10 +178,6 @@ if (onnxruntime_USE_ACL)
   include(onnxruntime_providers_acl.cmake)
 endif()
 
-if (onnxruntime_USE_ARMNN)
-  include(onnxruntime_providers_armnn.cmake)
-endif()
-
 if (onnxruntime_USE_VSINPU)
   include(onnxruntime_providers_vsinpu.cmake)
 endif()

cmake/onnxruntime_providers_armnn.cmake

@@ -193,7 +193,6 @@ set(onnxruntime_pybind11_state_static_providers
     ${PROVIDERS_RKNPU}
     ${PROVIDERS_DML}
     ${PROVIDERS_ACL}
-    ${PROVIDERS_ARMNN}
     ${PROVIDERS_XNNPACK}
     ${PROVIDERS_AZURE}
 )

cmake/onnxruntime_python.cmake

@@ -673,10 +673,6 @@ if(onnxruntime_USE_ACL)
   list(APPEND onnxruntime_test_providers_dependencies onnxruntime_providers_acl)
 endif()
 
-if(onnxruntime_USE_ARMNN)
-  list(APPEND onnxruntime_test_providers_dependencies onnxruntime_providers_armnn)
-endif()
-
 set(ONNXRUNTIME_TEST_STATIC_PROVIDER_LIBS
     # CUDA, TENSORRT, MIGRAPHX, DNNL, and OpenVINO are dynamically loaded at runtime.
     # QNN EP can be built as either a dynamic and static libs.
@@ -687,7 +683,6 @@ set(ONNXRUNTIME_TEST_STATIC_PROVIDER_LIBS
     ${PROVIDERS_RKNPU}
     ${PROVIDERS_DML}
     ${PROVIDERS_ACL}
-    ${PROVIDERS_ARMNN}
     ${PROVIDERS_COREML}
     ${PROVIDERS_XNNPACK}
     ${PROVIDERS_AZURE}

cmake/onnxruntime_unittests.cmake

@@ -43,7 +43,6 @@ constexpr const char* kRknpuExecutionProvider = "RknpuExecutionProvider";
 constexpr const char* kDmlExecutionProvider = "DmlExecutionProvider";
 constexpr const char* kMIGraphXExecutionProvider = "MIGraphXExecutionProvider";
 constexpr const char* kAclExecutionProvider = "ACLExecutionProvider";
-constexpr const char* kArmNNExecutionProvider = "ArmNNExecutionProvider";
 constexpr const char* kCoreMLExecutionProvider = "CoreMLExecutionProvider";
 constexpr const char* kJsExecutionProvider = "JsExecutionProvider";
 constexpr const char* kSnpeExecutionProvider = "SNPEExecutionProvider";