[CIR][CUDA] Generate device stubs

AdUhTkJm · AdUhTkJm · commit 0832402b5b1a · 2025-02-11T15:45:09.000Z
diff --git a/clang/lib/CIR/CodeGen/CIRGenCUDARuntime.cpp b/clang/lib/CIR/CodeGen/CIRGenCUDARuntime.cpp
@@ -0,0 +1,155 @@
+//===----- CIRGenCUDARuntime.cpp - Interface to CUDA Runtimes -----*- C++
+//-*-==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// This provides an abstract class for CUDA CIR generation. Concrete
+// subclasses of this implement code generation for specific OpenCL
+// runtime libraries.
+//
+//===----------------------------------------------------------------------===//
+
+#include "CIRGenCUDARuntime.h"
+#include "CIRGenFunction.h"
+#include "clang/Basic/Cuda.h"
+#include "clang/CIR/Dialect/IR/CIRTypes.h"
+
+using namespace clang;
+using namespace clang::CIRGen;
+
+CIRGenCUDARuntime::~CIRGenCUDARuntime() {}
+
+void CIRGenCUDARuntime::emitDeviceStubBody(CIRGenFunction &cgf, cir::FuncOp fn,
+                                           FunctionArgList &args) {
+  // CUDA 9.0 changed the way to launch kernels.
+  if (!CudaFeatureEnabled(cgm.getTarget().getSDKVersion(),
+                          CudaFeature::CUDA_USES_NEW_LAUNCH))
+    llvm_unreachable("NYI");
+
+  // This requires arguments to be sent to kernels in a different way.
+  if (cgm.getLangOpts().OffloadViaLLVM)
+    llvm_unreachable("NYI");
+
+  if (cgm.getLangOpts().HIP)
+    llvm_unreachable("NYI");
+
+  auto &builder = cgm.getBuilder();
+
+  // For cudaLaunchKernel, we must add another layer of indirection
+  // to arguments. For example, for function `add(int a, float b)`,
+  // we need to pass it as `void *args[2] = { &a, &b }`.
+
+  auto loc = fn.getLoc();
+  auto voidPtrArrayTy =
+      cir::ArrayType::get(&cgm.getMLIRContext(), cgm.VoidPtrTy, args.size());
+  mlir::Value kernelArgs = builder.createAlloca(
+      loc, cir::PointerType::get(voidPtrArrayTy), voidPtrArrayTy, "kernel_args",
+      CharUnits::fromQuantity(16));
+
+  // Store arguments into kernelArgs
+  for (auto [i, arg] : llvm::enumerate(args)) {
+    mlir::Value index =
+        builder.getConstInt(loc, llvm::APInt(/*numBits=*/32, i));
+    mlir::Value storePos = builder.createPtrStride(loc, kernelArgs, index);
+    builder.CIRBaseBuilderTy::createStore(
+        loc, cgf.GetAddrOfLocalVar(arg).getPointer(), storePos);
+  }
+
+  // We retrieve dim3 type by looking into the second argument of
+  // cudaLaunchKernel, as is done in OG.
+  TranslationUnitDecl *tuDecl = cgm.getASTContext().getTranslationUnitDecl();
+  DeclContext *dc = TranslationUnitDecl::castToDeclContext(tuDecl);
+
+  // The default stream is usually stream 0 (the legacy default stream).
+  // For per-thread default stream, we need a different LaunchKernel function.
+  if (cgm.getLangOpts().GPUDefaultStream ==
+      LangOptions::GPUDefaultStreamKind::PerThread)
+    llvm_unreachable("NYI");
+
+  std::string launchAPI = "cudaLaunchKernel";
+  const IdentifierInfo &launchII = cgm.getASTContext().Idents.get(launchAPI);
+  FunctionDecl *launchFD = nullptr;
+  for (auto *result : dc->lookup(&launchII)) {
+    if (FunctionDecl *fd = dyn_cast<FunctionDecl>(result))
+      launchFD = fd;
+  }
+
+  if (launchFD == nullptr) {
+    cgm.Error(cgf.CurFuncDecl->getLocation(),
+              "Can't find declaration for " + launchAPI);
+    return;
+  }
+
+  // Use this function to retrieve arguments for cudaLaunchKernel:
+  // int __cudaPopCallConfiguration(dim3 *gridDim, dim3 *blockDim, size_t
+  //                                *sharedMem, cudaStream_t *stream)
+  //
+  // Here cudaStream_t, while also being the 6th argument of cudaLaunchKernel,
+  // is a pointer to some opaque struct.
+
+  mlir::Type dim3Ty =
+      cgf.getTypes().convertType(launchFD->getParamDecl(1)->getType());
+  mlir::Type streamTy =
+      cgf.getTypes().convertType(launchFD->getParamDecl(5)->getType());
+
+  mlir::Value gridDim =
+      builder.createAlloca(loc, cir::PointerType::get(dim3Ty), dim3Ty,
+                           "grid_dim", CharUnits::fromQuantity(8));
+  mlir::Value blockDim =
+      builder.createAlloca(loc, cir::PointerType::get(dim3Ty), dim3Ty,
+                           "block_dim", CharUnits::fromQuantity(8));
+  mlir::Value sharedMem =
+      builder.createAlloca(loc, cir::PointerType::get(cgm.SizeTy), cgm.SizeTy,
+                           "shared_mem", cgm.getSizeAlign());
+  mlir::Value stream =
+      builder.createAlloca(loc, cir::PointerType::get(streamTy), streamTy,
+                           "stream", cgm.getPointerAlign());
+
+  cir::FuncOp popConfig = cgm.createRuntimeFunction(
+      cir::FuncType::get({gridDim.getType(), blockDim.getType(),
+                          sharedMem.getType(), stream.getType()},
+                         cgm.SInt32Ty),
+      "__cudaPopCallConfiguration");
+  cgf.emitRuntimeCall(loc, popConfig, {gridDim, blockDim, sharedMem, stream});
+
+  // Now emit the call to cudaLaunchKernel
+  // cudaError_t cudaLaunchKernel(const void *func, dim3 gridDim, dim3 blockDim,
+  //                              void **args, size_t sharedMem,
+  //                              cudaStream_t stream);
+  auto kernelTy =
+      cir::PointerType::get(&cgm.getMLIRContext(), fn.getFunctionType());
+
+  mlir::Value kernel =
+      builder.create<cir::GetGlobalOp>(loc, kernelTy, fn.getSymName());
+  mlir::Value func = builder.createBitcast(kernel, cgm.VoidPtrTy);
+  CallArgList launchArgs;
+
+  mlir::Value kernelArgsDecayed =
+      builder.createCast(cir::CastKind::array_to_ptrdecay, kernelArgs,
+                         cir::PointerType::get(cgm.VoidPtrTy));
+
+  launchArgs.add(RValue::get(func), launchFD->getParamDecl(0)->getType());
+  launchArgs.add(
+      RValue::getAggregate(Address(gridDim, CharUnits::fromQuantity(8))),
+      launchFD->getParamDecl(1)->getType());
+  launchArgs.add(
+      RValue::getAggregate(Address(blockDim, CharUnits::fromQuantity(8))),
+      launchFD->getParamDecl(2)->getType());
+  launchArgs.add(RValue::get(kernelArgsDecayed),
+                 launchFD->getParamDecl(3)->getType());
+  launchArgs.add(
+      RValue::get(builder.CIRBaseBuilderTy::createLoad(loc, sharedMem)),
+      launchFD->getParamDecl(4)->getType());
+  launchArgs.add(RValue::get(stream), launchFD->getParamDecl(5)->getType());
+
+  mlir::Type launchTy = cgm.getTypes().convertType(launchFD->getType());
+  mlir::Operation *launchFn =
+      cgm.createRuntimeFunction(cast<cir::FuncType>(launchTy), launchAPI);
+  const auto &callInfo = cgm.getTypes().arrangeFunctionDeclaration(launchFD);
+  cgf.emitCall(callInfo, CIRGenCallee::forDirect(launchFn), ReturnValueSlot(),
+               launchArgs);
+}
diff --git a/clang/lib/CIR/CodeGen/CIRGenCUDARuntime.h b/clang/lib/CIR/CodeGen/CIRGenCUDARuntime.h
@@ -0,0 +1,42 @@
+//===------ CIRGenCUDARuntime.h - Interface to CUDA Runtimes ------*- C++
+//-*-==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// This provides an abstract class for CUDA CIR generation. Concrete
+// subclasses of this implement code generation for specific OpenCL
+// runtime libraries.
+//
+//===----------------------------------------------------------------------===//
+
+#ifndef LLVM_CLANG_LIB_CIR_CIRGENCUDARUNTIME_H
+#define LLVM_CLANG_LIB_CIR_CIRGENCUDARUNTIME_H
+
+#include "clang/CIR/Dialect/IR/CIRDialect.h"
+#include "clang/CIR/Dialect/IR/CIROpsEnums.h"
+
+namespace clang::CIRGen {
+
+class CIRGenFunction;
+class CIRGenModule;
+class FunctionArgList;
+
+class CIRGenCUDARuntime {
+protected:
+  CIRGenModule &cgm;
+
+public:
+  CIRGenCUDARuntime(CIRGenModule &cgm) : cgm(cgm) {}
+  virtual ~CIRGenCUDARuntime();
+
+  virtual void emitDeviceStubBody(CIRGenFunction &cgf, cir::FuncOp fn,
+                                  FunctionArgList &args);
+};
+
+} // namespace clang::CIRGen
+
+#endif // LLVM_CLANG_LIB_CIR_CIRGENCUDARUNTIME_H
diff --git a/clang/lib/CIR/CodeGen/CIRGenFunction.cpp b/clang/lib/CIR/CodeGen/CIRGenFunction.cpp
@@ -753,7 +753,7 @@ cir::FuncOp CIRGenFunction::generateCode(clang::GlobalDecl GD, cir::FuncOp Fn,
       emitConstructorBody(Args);
     else if (getLangOpts().CUDA && !getLangOpts().CUDAIsDevice &&
              FD->hasAttr<CUDAGlobalAttr>())
-      llvm_unreachable("NYI");
+      CGM.getCUDARuntime().emitDeviceStubBody(*this, Fn, Args);
     else if (isa<CXXMethodDecl>(FD) &&
              cast<CXXMethodDecl>(FD)->isLambdaStaticInvoker()) {
       // The lambda static invoker function is special, because it forwards or
diff --git a/clang/lib/CIR/CodeGen/CIRGenModule.cpp b/clang/lib/CIR/CodeGen/CIRGenModule.cpp
@@ -9,6 +9,7 @@
 // This is the internal per-translation-unit state used for CIR translation.
 //
 //===----------------------------------------------------------------------===//
+#include "CIRGenCUDARuntime.h"
 #include "CIRGenCXXABI.h"
 #include "CIRGenCstEmitter.h"
 #include "CIRGenFunction.h"
@@ -108,7 +109,8 @@ CIRGenModule::CIRGenModule(mlir::MLIRContext &mlirContext,
       theModule{mlir::ModuleOp::create(builder.getUnknownLoc())}, Diags(Diags),
       target(astContext.getTargetInfo()), ABI(createCXXABI(*this)),
       genTypes{*this}, VTables{*this},
-      openMPRuntime(new CIRGenOpenMPRuntime(*this)) {
+      openMPRuntime(new CIRGenOpenMPRuntime(*this)),
+      cudaRuntime(new CIRGenCUDARuntime(*this)) {
 
   // Initialize CIR signed integer types cache.
   SInt8Ty = cir::IntType::get(&getMLIRContext(), 8, /*isSigned=*/true);
diff --git a/clang/lib/CIR/CodeGen/CIRGenModule.h b/clang/lib/CIR/CodeGen/CIRGenModule.h
@@ -15,6 +15,7 @@
 
 #include "Address.h"
 #include "CIRGenBuilder.h"
+#include "CIRGenCUDARuntime.h"
 #include "CIRGenCall.h"
 #include "CIRGenOpenCLRuntime.h"
 #include "CIRGenTBAA.h"
@@ -113,6 +114,9 @@ class CIRGenModule : public CIRGenTypeCache {
   /// Holds the OpenMP runtime
   std::unique_ptr<CIRGenOpenMPRuntime> openMPRuntime;
 
+  /// Holds the CUDA runtime
+  std::unique_ptr<CIRGenCUDARuntime> cudaRuntime;
+
   /// Per-function codegen information. Updated everytime emitCIR is called
   /// for FunctionDecls's.
   CIRGenFunction *CurCGF = nullptr;
@@ -862,12 +866,18 @@ class CIRGenModule : public CIRGenTypeCache {
   /// Print out an error that codegen doesn't support the specified decl yet.
   void ErrorUnsupported(const Decl *D, const char *Type);
 
-  /// Return a reference to the configured OpenMP runtime.
+  /// Return a reference to the configured OpenCL runtime.
   CIRGenOpenCLRuntime &getOpenCLRuntime() {
     assert(openCLRuntime != nullptr);
     return *openCLRuntime;
   }
 
+  /// Return a reference to the configured CUDA runtime.
+  CIRGenCUDARuntime &getCUDARuntime() {
+    assert(cudaRuntime != nullptr);
+    return *cudaRuntime;
+  }
+
   void createOpenCLRuntime() {
     openCLRuntime.reset(new CIRGenOpenCLRuntime(*this));
   }
diff --git a/clang/lib/CIR/CodeGen/CMakeLists.txt b/clang/lib/CIR/CodeGen/CMakeLists.txt
@@ -19,6 +19,7 @@ add_clang_library(clangCIR
   CIRGenClass.cpp
   CIRGenCleanup.cpp
   CIRGenCoroutine.cpp
+  CIRGenCUDARuntime.cpp
   CIRGenDecl.cpp
   CIRGenDeclCXX.cpp
   CIRGenException.cpp
diff --git a/clang/test/CIR/CodeGen/CUDA/simple.cu b/clang/test/CIR/CodeGen/CUDA/simple.cu
@@ -1,15 +1,17 @@
 #include "../Inputs/cuda.h"
 
 // RUN: %clang_cc1 -triple x86_64-unknown-linux-gnu -fclangir \
-// RUN:            -x cuda -emit-cir %s -o %t.cir
+// RUN:            -x cuda -emit-cir -target-sdk-version=12.3 \
+// RUN:            %s -o %t.cir
 // RUN: FileCheck --check-prefix=CIR-HOST --input-file=%t.cir %s
 
 // RUN: %clang_cc1 -triple nvptx64-nvidia-cuda -fclangir \
-// RUN:            -fcuda-is-device -emit-cir %s -o %t.cir
+// RUN:            -fcuda-is-device -emit-cir -target-sdk-version=12.3 \
+// RUN:            %s -o %t.cir
 // RUN: FileCheck --check-prefix=CIR-DEVICE --input-file=%t.cir %s
 
 // Attribute for global_fn
-// CIR-HOST: [[Kernel:#[a-zA-Z_0-9]+]] = {{.*}}#cir.cuda_kernel_name<_Z9global_fnv>{{.*}}
+// CIR-HOST: [[Kernel:#[a-zA-Z_0-9]+]] = {{.*}}#cir.cuda_kernel_name<_Z9global_fni>{{.*}}
 
 __host__ void host_fn(int *a, int *b, int *c) {}
 // CIR-HOST: cir.func @_Z7host_fnPiS_S_
@@ -19,13 +21,13 @@ __device__ void device_fn(int* a, double b, float c) {}
 // CIR-HOST-NOT: cir.func @_Z9device_fnPidf
 // CIR-DEVICE: cir.func @_Z9device_fnPidf
 
-#ifdef __CUDA_ARCH__
-__global__ void global_fn() {}
-#else
-__global__ void global_fn();
-#endif
-// CIR-HOST: @_Z24__device_stub__global_fnv(){{.*}}extra([[Kernel]])
-// CIR-DEVICE: @_Z9global_fnv
+__global__ void global_fn(int a) {}
+// CIR-DEVICE: @_Z9global_fni
 
-// Make sure `global_fn` indeed gets emitted
-__host__ void x() { auto v = global_fn; }
+// Check for device stub emission.
+
+// CIR-HOST: @_Z24__device_stub__global_fni{{.*}}extra([[Kernel]])
+// CIR-HOST: cir.alloca {{.*}}"kernel_args"
+// CIR-HOST: cir.call @__cudaPopCallConfiguration
+// CIR-HOST: cir.get_global @_Z24__device_stub__global_fni
+// CIR-HOST: cir.call @cudaLaunchKernel
