Remove whole archive linkage (#173)

* Explicit pass registration.

* Remove whole-archive linking, replace with regular linking.

* Remove whole-archive linkage related scripts.

* No need to preload library, simply expose them through LD_LIBRARY_PATH.

* Use OMLibs to record all onnx-mlir libs.

* Add OMResultTypeInferenceOpInterface lib to OMLibs.

* nit.

* No need to expose libs through LD_LIBRARY_PATH.

* Fix missing onnx header file issue.

* Define OMLibs before Tool subdirectory is imported.

* Define OMLibs at parent scope.

* Specify dependency of MainUtils on OMLibs early.

* Set OMLibs both at current & parent scope.

* Add comment about what future pass implementation should do.

MLIR.cmake

@@ -186,6 +186,16 @@ find_mlir_lib(LLVMDemangle)
 find_mlir_lib(LLVMFrontendOpenMP)
 
 set(MLIRLibs
+        ${MLIRAffineToStandard}
+        ${MLIRAffineOps}
+        ${MLIRLLVMIR}
+        ${MLIRStandardOps}
+        ${MLIRStandardToLLVM}
+        ${MLIRTransforms}
+        ${MLIRSCFToStandard}
+        ${MLIRVector}
+        ${MLIRSCF}
+        ${MLIRIR}
         ${MLIRLLVMIR}
         ${MLIROptLib}
         ${MLIRParser}
@@ -242,95 +252,6 @@ set(MLIRLibs
 	      ${CURSES_LIBRARIES}
 	      ${ZLIB_LIBRARIES})
 
-# MLIR libraries that must be linked with --whole-archive for static build or
-# must be specified on LD_PRELOAD for shared build.
-set(MLIRWholeArchiveLibs
-        MLIRAffineToStandard
-        MLIRAffineOps
-        MLIRLLVMIR
-        MLIRStandardOps
-        MLIRStandardToLLVM
-        MLIRTransforms
-        MLIRSCFToStandard
-        MLIRVector
-        MLIRSCF
-        MLIRIR)
-
-# ONNX MLIR libraries that must be linked with --whole-archive for static build or
-# must be specified on LD_PRELOAD for shared build.
-set(ONNXMLIRWholeArchiveLibs
-        OMKrnlToAffine
-        OMKrnlToLLVM
-        OMONNXToKrnl
-        OMONNXRewrite
-        OMShapeInference
-        OMShapeInferenceOpInterface
-        OMAttributePromotion
-        OMPromotableConstOperandsOpInterface
-        OMElideConstants
-        OMElideKrnlGlobalConstants
-        OMPackKrnlGlobalConstants
-        OMEnableMemoryPool)
-
-# Function to construct linkage option for the static libraries that must be
-# linked with --whole-archive (or equivalent).
-function(whole_archive_link target lib_dir)
-  get_property(link_flags TARGET ${target} PROPERTY LINK_FLAGS)
-  if("${CMAKE_SYSTEM_NAME}" STREQUAL "Darwin")
-    set(link_flags "${link_flags} -L${lib_dir}  ")
-    foreach(LIB ${ARGN})
-      string(CONCAT link_flags ${link_flags}
-              "-Wl,-force_load, ${lib_dir}/lib${LIB}.a ")
-    endforeach(LIB)
-  elseif(MSVC)
-    foreach(LIB ${ARGN})
-      string(CONCAT link_flags ${link_flags} "/WHOLEARCHIVE:${lib_dir}/${LIB} ")
-    endforeach(LIB)
-  else()
-    set(link_flags "${link_flags} -L${lib_dir} -Wl,--whole-archive,")
-    foreach(LIB ${ARGN})
-      string(CONCAT link_flags ${link_flags} "-l${LIB},")
-    endforeach(LIB)
-    string(CONCAT link_flags ${link_flags} "--no-whole-archive")
-  endif()
-  set_target_properties(${target} PROPERTIES LINK_FLAGS ${link_flags})
-endfunction(whole_archive_link)
-
-# Function to construct LD_PRELOAD value for the shared libraries whose
-# static counterpart need --whole-archive linkage option.
-function(ld_preload_libs target lib_dir)
-  foreach(lib ${ARGN})
-    if("${${lib}}" STREQUAL "")
-      set(ONNX_MLIR_LD_PRELOAD_${target}
-	"${ONNX_MLIR_LD_PRELOAD_${target}}:${lib_dir}/lib${lib}.so"
-	CACHE STRING "" FORCE)
-    else()
-      set(ONNX_MLIR_LD_PRELOAD_${target}
-	"${ONNX_MLIR_LD_PRELOAD_${target}}:${${lib}}"
-	CACHE STRING "" FORCE)
-    endif()
-  endforeach(lib)
-endfunction(ld_preload_libs)
-
-function(whole_archive_link_mlir target)
-  if(BUILD_SHARED_LIBS)
-    ld_preload_libs(${target} ${LLVM_PROJECT_LIB} ${ARGN})
-  else()
-    whole_archive_link(${target} ${LLVM_PROJECT_LIB} ${ARGN})
-  endif()
-endfunction(whole_archive_link_mlir)
-
-function(whole_archive_link_onnx_mlir target)
-  foreach(lib_target ${ARGN})
-    add_dependencies(${target} ${lib_target})
-  endforeach(lib_target)
-  if(BUILD_SHARED_LIBS)
-    ld_preload_libs(${target} ${ONNX_MLIR_LIB_DIR} ${ARGN})
-  else()
-    whole_archive_link(${target} ${ONNX_MLIR_LIB_DIR} ${ARGN})
-  endif()
-endfunction(whole_archive_link_onnx_mlir)
-
 set(LLVM_CMAKE_DIR
         "${LLVM_PROJ_BUILD}/lib/cmake/llvm"
         CACHE PATH "Path to LLVM cmake modules")

src/CMakeLists.txt

@@ -2,14 +2,40 @@ add_subdirectory(Interface)
 add_subdirectory(Dialect)
 add_subdirectory(Conversion)
 add_subdirectory(Transform)
-add_subdirectory(Tool)
 add_subdirectory(Builder)
 add_subdirectory(Runtime)
 
+# All ONNX-MLIR libraries.
+set(OMLibs
+        OMBuilder
+        OMKrnlOps
+        OMONNXOps
+        OMKrnlToAffine
+        OMKrnlToLLVM
+        OMONNXToKrnl
+        OMONNXRewrite
+        OMShapeInference
+        OMShapeInferenceOpInterface
+        OMAttributePromotion
+        OMPromotableConstOperandsOpInterface
+        OMResultTypeInferenceOpInterface
+        OMElideConstants
+        OMElideKrnlGlobalConstants
+        OMPackKrnlGlobalConstants
+        OMEnableMemoryPool)
+set(OMLibs ${OMLibs} PARENT_SCOPE)
+
+message(SATUS "OMLibs" ${OMLibs})
+add_subdirectory(Tool)
+
 add_library(MainUtils
         MainUtils.hpp
         MainUtils.cpp)
-target_link_libraries(MainUtils onnx)
+target_link_libraries(MainUtils
+        ${OMLibs}
+        ${MLIRLibs}
+        ${CMAKE_DL_LIBS}
+        onnx)
 
 target_include_directories(MainUtils PRIVATE ${ONNX_MLIR_SRC_ROOT})
 target_include_directories(MainUtils PRIVATE ${CMAKE_BINARY_DIR})
@@ -29,7 +55,6 @@ configure_file(${CMAKE_CURRENT_SOURCE_DIR}/ExternalUtil.hpp.in
         ${CMAKE_CURRENT_BINARY_DIR}/ExternalUtil.hpp)
 
 set(ONNX_MLIR_LD_PRELOAD_onnx-mlir "" CACHE STRING "" FORCE)
-whole_archive_link_mlir(onnx-mlir ${MLIRWholeArchiveLibs})
 if(BUILD_SHARED_LIBS)
   message(STATUS "To run dynamically linked onnx-mlir, you must specify:")
   message(STATUS "LD_PRELOAD=${ONNX_MLIR_LD_PRELOAD_onnx-mlir}")
@@ -43,25 +68,6 @@ endif()
 # So it's better not to use target_link_libraries for the add_subdirectory
 # targets, or only use it for libraries that have no further dependencies
 # (except system libraries such as libc).
-target_link_libraries(MainUtils
-        OMBuilder
-        OMKrnlOps
-        OMONNXOps
-        OMShapeInference
-        OMShapeInferenceOpInterface
-        OMAttributePromotion
-        OMPromotableConstOperandsOpInterface
-        OMResultTypeInferenceOpInterface
-        OMElideConstants
-        OMElideKrnlGlobalConstants
-        OMPackKrnlGlobalConstants
-        OMEnableMemoryPool
-        OMKrnlToAffine
-        OMKrnlToLLVM
-        OMONNXToKrnl
-        OMONNXRewrite
-        ${MLIRLibs}
-        ${CMAKE_DL_LIBS})
 add_dependencies(onnx-mlir OMKrnlOpsInc OMONNXOpsInc)
 
 if (INCLUDE_ONNX_ML)

src/Conversion/ONNXToKrnl/ConvertONNXToKrnl.cpp

@@ -119,6 +119,3 @@ void FrontendToKrnlLoweringPass::runOnOperation() {
 std::unique_ptr<Pass> mlir::createLowerToKrnlPass() {
   return std::make_unique<FrontendToKrnlLoweringPass>();
 }
-
-static PassRegistration<FrontendToKrnlLoweringPass> pass(
-    "lower-frontend", "Lower frontend ops to Krnl dialect.");

src/InitOMPasses.hpp

@@ -0,0 +1,73 @@
+#include "mlir/Pass/Pass.h"
+
+#include "src/Pass/Passes.hpp"
+
+namespace onnx_mlir {
+
+void initOMPasses() {
+  // All passes implemented within onnx-mlir should register within this
+  // function to make themselves available as a command-line option.
+  mlir::registerPass("decompose-onnx",
+      "Decompose ONNX operations into composition of other ONNX operations.",
+      []() -> std::unique_ptr<mlir::Pass> {
+        return mlir::createDecomposeONNXToONNXPass();
+      });
+
+  mlir::registerPass("shape-inference",
+      "Shape inference for frontend dialects.",
+      []() -> std::unique_ptr<mlir::Pass> {
+        return mlir::createShapeInferencePass();
+      });
+
+  mlir::registerPass("constprop-onnx",
+      "ConstProp ONNX operations into composition of other ONNX operations.",
+      []() -> std::unique_ptr<mlir::Pass> {
+        return mlir::createConstPropONNXToONNXPass();
+      });
+
+  mlir::registerPass("attribute-promotion",
+      "Promote constant operands to attributes.",
+      []() -> std::unique_ptr<mlir::Pass> {
+        return mlir::createAttributePromotionPass();
+      });
+
+  mlir::registerPass("elide-constants", "Elide values of constant operations.",
+      []() -> std::unique_ptr<mlir::Pass> {
+        return mlir::createElideConstantValuePass();
+      });
+
+  mlir::registerPass("enable-memory-pool",
+      "Enable a memory pool for allocating internal MemRefs.",
+      []() -> std::unique_ptr<mlir::Pass> {
+        return mlir::createKrnlEnableMemoryPoolPass();
+      });
+
+  mlir::registerPass(
+      "lower-krnl", "Lower Krnl dialect.", []() -> std::unique_ptr<mlir::Pass> {
+        return mlir::createLowerKrnlPass();
+      });
+
+  mlir::registerPass("lower-frontend", "Lower frontend ops to Krnl dialect.",
+      []() -> std::unique_ptr<mlir::Pass> {
+        return mlir::createLowerToKrnlPass();
+      });
+
+  mlir::registerPass("elide-krnl-constants",
+      "Elide the constant values of the Global Krnl operations.",
+      []() -> std::unique_ptr<mlir::Pass> {
+        return mlir::createElideConstGlobalValuePass();
+      });
+
+  mlir::registerPass("lower-all-llvm",
+      "Lower the Krnl Affine and Std dialects to LLVM.",
+      []() -> std::unique_ptr<mlir::Pass> {
+        return mlir::createKrnlLowerToLLVMPass();
+      });
+
+  mlir::registerPass("pack-krnl-constants",
+      "Elide the constant values of the Global Krnl operations.",
+      []() -> std::unique_ptr<mlir::Pass> {
+        return mlir::createPackKrnlGlobalConstantsPass();
+      });
+}
+} // namespace onnx_mlir

src/Tool/ONNXMLIROpt/CMakeLists.txt

@@ -5,19 +5,15 @@ target_include_directories(onnx-mlir-opt PRIVATE ${ONNX_MLIR_SRC_ROOT})
 target_include_directories(onnx-mlir-opt PRIVATE ${ONNX_MLIR_BIN_ROOT})
 
 set(ONNX_MLIR_LD_PRELOAD_onnx-mlir-opt "" CACHE STRING "" FORCE)
-whole_archive_link_onnx_mlir(onnx-mlir-opt ${ONNXMLIRWholeArchiveLibs})
-whole_archive_link_mlir(onnx-mlir-opt ${MLIRWholeArchiveLibs})
 if(BUILD_SHARED_LIBS)
   message(STATUS "To run dynamically linked onnx-mlir-opt, you must specify:")
   message(STATUS "LD_PRELOAD=${ONNX_MLIR_LD_PRELOAD_onnx-mlir-opt}")
 endif()
 
 target_link_libraries(onnx-mlir-opt
-        OMBuilder
+        ${OMLibs}
-        OMKrnlOps
+        ${MLIRLibs}
-        OMONNXOps
+        onnx)
-        OMONNXRewrite
-        ${MLIRLibs})
 
 if (INCLUDE_ONNX_ML)
   target_link_libraries(onnx-mlir-opt OMMLONNXOps)

src/Tool/ONNXMLIROpt/ONNXMLIROpt.cpp

@@ -22,6 +22,7 @@
 #include "src/Dialect/Krnl/KrnlOps.hpp"
 #include "src/Dialect/MLONNX/MLONNXOps.hpp"
 #include "src/Dialect/ONNX/ONNXOps.hpp"
+#include "src/InitOMPasses.hpp"
 #include "src/Pass/Passes.hpp"
 
 using namespace onnx_mlir;
@@ -70,6 +71,7 @@ int main(int argc, char **argv) {
   mlir::registerDialect<mlir::ONNXOpsDialect>();
   mlir::registerDialect<mlir::MLONNXOpsDialect>();
   mlir::registerDialect<mlir::KrnlOpsDialect>();
+  initOMPasses();
 
   mlir::registerAsmPrinterCLOptions();
   mlir::registerMLIRContextCLOptions();

src/Transform/ElideKrnlGlobalConstants.cpp

@@ -69,6 +69,3 @@ public:
 std::unique_ptr<Pass> mlir::createElideConstGlobalValuePass() {
   return std::make_unique<ElideConstGlobalValuePass>();
 }
-
-static PassRegistration<ElideConstGlobalValuePass> pass("elide-krnl-constants",
-    "Elide the constant values of the Global Krnl operations.");

src/Transform/EnableMemoryPool.cpp

@@ -154,6 +154,3 @@ public:
 std::unique_ptr<Pass> mlir::createKrnlEnableMemoryPoolPass() {
   return std::make_unique<KrnlEnableMemoryPoolPass>();
 }
-
-static PassRegistration<KrnlEnableMemoryPoolPass> pass("enable-memory-pool",
-    "Enable a memory pool for allocating internal MemRefs.");

src/Transform/LowerKrnl.cpp

@@ -181,6 +181,3 @@ void KrnlToAffineLoweringPass::runOnFunction() {
 std::unique_ptr<Pass> mlir::createLowerKrnlPass() {
   return std::make_unique<KrnlToAffineLoweringPass>();
 }
-
-static PassRegistration<KrnlToAffineLoweringPass> pass(
-    "lower-krnl", "Lower Krnl dialect.");

src/Transform/LowerToLLVM.cpp

@@ -865,6 +865,3 @@ void KrnlToLLVMLoweringPass::runOnOperation() {
 std::unique_ptr<mlir::Pass> mlir::createKrnlLowerToLLVMPass() {
   return std::make_unique<KrnlToLLVMLoweringPass>();
 }
-
-static PassRegistration<KrnlToLLVMLoweringPass> pass(
-    "lower-all-llvm", "Lower the Krnl Affine and Std dialects to LLVM.");

src/Transform/ONNX/AttributePromotion.cpp

@@ -101,6 +101,3 @@ public:
 std::unique_ptr<mlir::Pass> mlir::createAttributePromotionPass() {
   return std::make_unique<AttributePromotionPass>();
 }
-
-static PassRegistration<AttributePromotionPass> pass(
-    "attribute-promotion", "Promote constant operands to attributes.");

src/Transform/ONNX/ConstProp.cpp

@@ -375,6 +375,3 @@ void ConstPropONNXToONNXPass::runOnFunction() {
 std::unique_ptr<mlir::Pass> mlir::createConstPropONNXToONNXPass() {
   return std::make_unique<ConstPropONNXToONNXPass>();
 }
-
-static PassRegistration<ConstPropONNXToONNXPass> pass("constprop-onnx",
-    "ConstProp ONNX operations into composition of other ONNX operations.");

src/Transform/ONNX/Decompose.cpp

@@ -61,6 +61,3 @@ void DecomposeONNXToONNXPass::runOnFunction() {
 std::unique_ptr<mlir::Pass> mlir::createDecomposeONNXToONNXPass() {
   return std::make_unique<DecomposeONNXToONNXPass>();
 }
-
-static PassRegistration<DecomposeONNXToONNXPass> pass("decompose-onnx",
-    "Decompose ONNX operations into composition of other ONNX operations.");

src/Transform/ONNX/ElideConstants.cpp

@@ -78,6 +78,3 @@ public:
 std::unique_ptr<mlir::Pass> mlir::createElideConstantValuePass() {
   return std::make_unique<ElideConstantValuePass>();
 }
-
-static PassRegistration<ElideConstantValuePass> pass(
-    "elide-constants", "Elide values of constant operations.");

src/Transform/ONNX/ShapeInferencePass.cpp

@@ -87,6 +87,3 @@ public:
 std::unique_ptr<mlir::Pass> mlir::createShapeInferencePass() {
   return std::make_unique<ShapeInferencePass>();
 }
-
-static PassRegistration<ShapeInferencePass> pass(
-    "shape-inference", "Shape inference for frontend dialects.");

test/mlir/lit.site.cfg.py.in

@@ -1,8 +1,5 @@
 import lit.llvm
 
-if '@BUILD_SHARED_LIBS@' == 'ON':
-    config.environment['LD_PRELOAD'] = r"@ONNX_MLIR_LD_PRELOAD_onnx-mlir-opt@"
-
 config.llvm_tools_dir = r"@MLIR_TOOLS_DIR@"
 config.mlir_obj_root = r"@LLVM_PROJ_BUILD@"
 config.mlir_tools_dir = r"@MLIR_TOOLS_DIR@"

test/numerical/CMakeLists.txt

@@ -1,25 +1,13 @@
 add_executable(TestConv TestConv.cpp)
 target_link_libraries(TestConv
-        OMBuilder
+        ${OMLibs}
-        OMKrnlOps
-        OMONNXOps
-        OMShapeInference
-        OMShapeInferenceOpInterface
-        OMAttributePromotion
-        OMPromotableConstOperandsOpInterface
-        OMElideConstants
-        OMElideKrnlGlobalConstants
-        OMKrnlToAffine
-        OMKrnlToLLVM
-        OMONNXToKrnl
-        OMONNXRewrite
         ${MLIRLibs}
         ${CMAKE_DL_LIBS}
         rapidcheck
         MainUtils
         ExecutionSession
         DynMemRefUtils)
-whole_archive_link_mlir(TestConv ${MLIRWholeArchiveLibs})
+
 target_include_directories(TestConv
         PRIVATE
         ${ONNX_MLIR_SRC_ROOT}