[mlir][GPU] Remove the SerializeToCubin pass

mlir/CMakeLists.txt

@@ -123,7 +123,6 @@ else()
 endif()
 add_definitions(-DMLIR_ROCM_CONVERSIONS_ENABLED=${MLIR_ENABLE_ROCM_CONVERSIONS})
 
-set(MLIR_ENABLE_DEPRECATED_GPU_SERIALIZATION 0 CACHE BOOL "Enable deprecated GPU serialization passes")
 set(MLIR_ENABLE_CUDA_RUNNER 0 CACHE BOOL "Enable building the mlir CUDA runner")
 set(MLIR_ENABLE_ROCM_RUNNER 0 CACHE BOOL "Enable building the mlir ROCm runner")
 set(MLIR_ENABLE_SYCL_RUNNER 0 CACHE BOOL "Enable building the mlir Sycl runner")

mlir/include/mlir/Dialect/GPU/Transforms/Passes.h

@@ -147,25 +147,11 @@ class SerializeToBlobPass : public OperationPass<gpu::GPUModuleOp> {
 // Registration
 //===----------------------------------------------------------------------===//
 
-/// Register pass to serialize GPU kernel functions to a CUBIN binary
-/// annotation.
-LLVM_DEPRECATED("use Target attributes instead", "")
-void registerGpuSerializeToCubinPass();
-
 /// Register pass to serialize GPU kernel functions to a HSAco binary
 /// annotation.
 LLVM_DEPRECATED("use Target attributes instead", "")
 void registerGpuSerializeToHsacoPass();
 
-/// Create an instance of the GPU kernel function to CUBIN binary serialization
-/// pass with optLevel (default level 2).
-LLVM_DEPRECATED("use Target attributes instead", "")
-std::unique_ptr<Pass> createGpuSerializeToCubinPass(StringRef triple,
-                                                    StringRef chip,
-                                                    StringRef features,
-                                                    int optLevel = 2,
-                                                    bool dumpPtx = false);
-
 /// Create an instance of the GPU kernel function to HSAco binary serialization
 /// pass.
 LLVM_DEPRECATED("use Target attributes instead", "")

mlir/lib/Dialect/GPU/CMakeLists.txt

@@ -1,11 +1,3 @@
-if ("NVPTX" IN_LIST LLVM_TARGETS_TO_BUILD)
-  set(NVPTX_LIBS
-    NVPTXCodeGen
-    NVPTXDesc
-    NVPTXInfo
-  )
-endif()
-
 if (MLIR_ENABLE_ROCM_CONVERSIONS)
   set(AMDGPU_LIBS
     IRReader
@@ -60,7 +52,6 @@ add_mlir_dialect_library(MLIRGPUTransforms
   Transforms/ParallelLoopMapper.cpp
   Transforms/ROCDLAttachTarget.cpp
   Transforms/SerializeToBlob.cpp
-  Transforms/SerializeToCubin.cpp
   Transforms/SerializeToHsaco.cpp
   Transforms/ShuffleRewriter.cpp
   Transforms/SPIRVAttachTarget.cpp
@@ -74,7 +65,6 @@ add_mlir_dialect_library(MLIRGPUTransforms
   Core
   MC
   Target
-  ${NVPTX_LIBS}
   ${AMDGPU_LIBS}
 
   DEPENDS
@@ -110,48 +100,6 @@ add_mlir_dialect_library(MLIRGPUTransforms
 add_subdirectory(TransformOps)
 add_subdirectory(Pipelines)
 
-if(MLIR_ENABLE_CUDA_RUNNER)
-  if(NOT MLIR_ENABLE_CUDA_CONVERSIONS)
-    message(SEND_ERROR
-      "Building mlir with cuda support requires the NVPTX backend")
-  endif()
-
-  # Configure CUDA language support. Using check_language first allows us to
-  # give a custom error message.
-  include(CheckLanguage)
-  check_language(CUDA)
-  if (CMAKE_CUDA_COMPILER)
-    enable_language(CUDA)
-  else()
-    message(SEND_ERROR
-      "Building mlir with cuda support requires a working CUDA install")
-  endif()
-
-  # Enable gpu-to-cubin pass.
-  target_compile_definitions(obj.MLIRGPUTransforms
-    PRIVATE
-    MLIR_GPU_TO_CUBIN_PASS_ENABLE=1
-  )
-
-  # Add CUDA headers includes and the libcuda.so library.
-  target_include_directories(obj.MLIRGPUTransforms
-    PRIVATE
-    ${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES}
-  )
-
-  # Add link path for the cuda driver library.
-  find_library(CUDA_DRIVER_LIBRARY cuda HINTS ${CMAKE_CUDA_IMPLICIT_LINK_DIRECTORIES} REQUIRED)
-  get_filename_component(CUDA_DRIVER_LIBRARY_PATH "${CUDA_DRIVER_LIBRARY}" DIRECTORY)
-  target_link_directories(MLIRGPUTransforms PRIVATE ${CUDA_DRIVER_LIBRARY_PATH})
-
-  target_link_libraries(MLIRGPUTransforms
-    PRIVATE
-    MLIRNVVMToLLVMIRTranslation
-    cuda
-  )
-
-endif()
-
 if(MLIR_ENABLE_ROCM_CONVERSIONS)
   if (NOT ("AMDGPU" IN_LIST LLVM_TARGETS_TO_BUILD))
     message(SEND_ERROR