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[flang][cuda] Only convert launch from CUDA Fortran kernels #136221

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Merged
merged 3 commits into from
Apr 21, 2025
Merged

[flang][cuda] Only convert launch from CUDA Fortran kernels #136221

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0885d06
[flang][cuda] Only convert launch from CUDA Fortran kernels
clementval Apr 17, 2025
1156179
Fix tests
clementval Apr 21, 2025
c9176ef
clang-format
clementval Apr 21, 2025
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15 changes: 14 additions & 1 deletion flang/lib/Optimizer/Transforms/CUFGPUToLLVMConversion.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -82,6 +82,11 @@ struct GPULaunchKernelConversion
mlir::LogicalResult
matchAndRewrite(mlir::gpu::LaunchFuncOp op, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
// Only convert gpu.launch_func for CUDA Fortran.
if (!op.getOperation()->getAttrOfType<cuf::ProcAttributeAttr>(
cuf::getProcAttrName()))
return mlir::failure();

mlir::Location loc = op.getLoc();
auto *ctx = rewriter.getContext();
mlir::ModuleOp mod = op->getParentOfType<mlir::ModuleOp>();
Expand Down Expand Up @@ -293,7 +298,15 @@ class CUFGPUToLLVMConversion
fir::LLVMTypeConverter typeConverter(module, /*applyTBAA=*/false,
/*forceUnifiedTBAATree=*/false, *dl);
cuf::populateCUFGPUToLLVMConversionPatterns(typeConverter, patterns);
target.addIllegalOp<mlir::gpu::LaunchFuncOp>();

target.addDynamicallyLegalOp<mlir::gpu::LaunchFuncOp>(
[&](mlir::gpu::LaunchFuncOp op) {
if (op.getOperation()->getAttrOfType<cuf::ProcAttributeAttr>(
cuf::getProcAttrName()))
return false;
return true;
});

target.addIllegalOp<cuf::SharedMemoryOp>();
target.addLegalDialect<mlir::LLVM::LLVMDialect>();
if (mlir::failed(mlir::applyPartialConversion(getOperation(), target,
Expand Down
5 changes: 5 additions & 0 deletions flang/lib/Optimizer/Transforms/CUFOpConversion.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -888,6 +888,11 @@ struct CUFLaunchOpConversion
}
if (procAttr)
gpuLaunchOp->setAttr(cuf::getProcAttrName(), procAttr);
else
// Set default global attribute of the original was not found.
gpuLaunchOp->setAttr(cuf::getProcAttrName(),
cuf::ProcAttributeAttr::get(
op.getContext(), cuf::ProcAttribute::Global));
rewriter.replaceOp(op, gpuLaunchOp);
return mlir::success();
}
Expand Down
6 changes: 3 additions & 3 deletions flang/test/Fir/CUDA/cuda-gpu-launch-func.mlir
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Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,7 @@ module attributes {dlti.dl_spec = #dlti.dl_spec<#dlti.dl_entry<i1, dense<8> : ve
llvm.br ^bb1(%44 : i64)
^bb3: // pred: ^bb1
%45 = llvm.call @_FortranACUFDataTransferPtrPtr(%14, %25, %2, %11, %13, %5) : (!llvm.ptr, !llvm.ptr, i64, i32, !llvm.ptr, i32) -> !llvm.struct<()>
gpu.launch_func @cuda_device_mod::@_QMmod1Psub1 blocks in (%7, %7, %7) threads in (%12, %7, %7) : i64 dynamic_shared_memory_size %11 args(%14 : !llvm.ptr)
gpu.launch_func @cuda_device_mod::@_QMmod1Psub1 blocks in (%7, %7, %7) threads in (%12, %7, %7) : i64 dynamic_shared_memory_size %11 args(%14 : !llvm.ptr) {cuf.proc_attr = #cuf.cuda_proc<global>}
%46 = llvm.call @_FortranACUFDataTransferPtrPtr(%25, %14, %2, %10, %13, %4) : (!llvm.ptr, !llvm.ptr, i64, i32, !llvm.ptr, i32) -> !llvm.struct<()>
%47 = llvm.call @_FortranAioBeginExternalListOutput(%9, %13, %8) {fastmathFlags = #llvm.fastmath<contract>} : (i32, !llvm.ptr, i32) -> !llvm.ptr
%48 = llvm.mlir.constant(9 : i32) : i32
Expand Down Expand Up @@ -122,7 +122,7 @@ module attributes {dlti.dl_spec = #dlti.dl_spec<#dlti.dl_entry<!llvm.ptr<272>, d
%1 = llvm.mlir.constant(2 : index) : i64
%2 = llvm.mlir.constant(0 : i32) : i32
%3 = llvm.mlir.constant(10 : index) : i64
gpu.launch_func @cuda_device_mod::@_QMmod1Psub1 clusters in (%1, %1, %0) blocks in (%3, %3, %0) threads in (%3, %3, %0) : i64 dynamic_shared_memory_size %2
gpu.launch_func @cuda_device_mod::@_QMmod1Psub1 clusters in (%1, %1, %0) blocks in (%3, %3, %0) threads in (%3, %3, %0) : i64 dynamic_shared_memory_size %2 {cuf.proc_attr = #cuf.cuda_proc<global>}
llvm.return
}
gpu.binary @cuda_device_mod [#gpu.object<#nvvm.target, "">]
Expand Down Expand Up @@ -180,7 +180,7 @@ module attributes {dlti.dl_spec = #dlti.dl_spec<#dlti.dl_entry<!llvm.ptr<272>, d
%2 = llvm.mlir.constant(0 : i32) : i32
%3 = llvm.mlir.constant(10 : index) : i64
%token = cuf.stream_cast %stream : !llvm.ptr
gpu.launch_func [%token] @cuda_device_mod::@_QMmod1Psub1 blocks in (%3, %3, %0) threads in (%3, %3, %0) : i64 dynamic_shared_memory_size %2
gpu.launch_func [%token] @cuda_device_mod::@_QMmod1Psub1 blocks in (%3, %3, %0) threads in (%3, %3, %0) : i64 dynamic_shared_memory_size %2 {cuf.proc_attr = #cuf.cuda_proc<global>}
llvm.return
}
gpu.binary @cuda_device_mod [#gpu.object<#nvvm.target, "">]
Expand Down
10 changes: 5 additions & 5 deletions flang/test/Fir/CUDA/cuda-launch.fir
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Original file line number Diff line number Diff line change
Expand Up @@ -26,13 +26,13 @@ module attributes {gpu.container_module, dlti.dl_spec = #dlti.dl_spec<#dlti.dl_e
%c1024_i32 = arith.constant 1024 : i32
%c6_i32 = arith.constant 6 : i32
%c1_i32 = arith.constant 1 : i32
// CHECK: gpu.launch_func @cuda_device_mod::@_QPsub_device1 blocks in (%{{.*}}, %{{.*}}, %{{.*}}) threads in (%{{.*}}, %{{.*}}, %{{.*}}) dynamic_shared_memory_size %c0{{.*}}
// CHECK: gpu.launch_func @cuda_device_mod::@_QPsub_device1 blocks in (%{{.*}}, %{{.*}}, %{{.*}}) threads in (%{{.*}}, %{{.*}}, %{{.*}}) dynamic_shared_memory_size %c0{{.*}} {cuf.proc_attr = #cuf.cuda_proc<global>}
cuf.kernel_launch @cuda_device_mod::@_QPsub_device1<<<%c1_i32, %c1_i32, %c1_i32, %c1_i32, %c1_i32, %c1_i32>>>()

// CHECK: gpu.launch_func @cuda_device_mod::@_QPsub_device1 blocks in (%{{.*}}, %{{.*}}, %{{.*}}) threads in (%{{.*}}, %{{.*}}, %{{.*}}) dynamic_shared_memory_size %c1024{{.*}}
// CHECK: gpu.launch_func @cuda_device_mod::@_QPsub_device1 blocks in (%{{.*}}, %{{.*}}, %{{.*}}) threads in (%{{.*}}, %{{.*}}, %{{.*}}) dynamic_shared_memory_size %c1024{{.*}} {cuf.proc_attr = #cuf.cuda_proc<global>}
cuf.kernel_launch @cuda_device_mod::@_QPsub_device1<<<%c1_i32, %c1_i32, %c1_i32, %c1_i32, %c1_i32, %c1_i32, %c1024_i32>>>()

// CHECK: gpu.launch_func @cuda_device_mod::@_QPsub_device2 blocks in (%{{.*}}, %{{.*}}, %{{.*}}) threads in (%{{.*}}, %{{.*}}, %{{.*}}) dynamic_shared_memory_size %c0{{.*}} args(%[[ALLOCA]] : !fir.ref<f32>)
// CHECK: gpu.launch_func @cuda_device_mod::@_QPsub_device2 blocks in (%{{.*}}, %{{.*}}, %{{.*}}) threads in (%{{.*}}, %{{.*}}, %{{.*}}) dynamic_shared_memory_size %c0{{.*}} args(%[[ALLOCA]] : !fir.ref<f32>) {cuf.proc_attr = #cuf.cuda_proc<global>}
cuf.kernel_launch @cuda_device_mod::@_QPsub_device2<<<%c1_i32, %c1_i32, %c1_i32, %c1_i32, %c1_i32, %c1_i32>>>(%0) : (!fir.ref<f32>)
return
}
Expand Down Expand Up @@ -64,7 +64,7 @@ module attributes {gpu.container_module, dlti.dl_spec = #dlti.dl_spec<#dlti.dl_e
}

// CHECK-LABEL: func.func @_QMmod1Phost_sub()
// CHECK: gpu.launch_func @cuda_device_mod::@_QMmod1Psub1 clusters in (%c2{{.*}}, %c2{{.*}}, %c1{{.*}})
// CHECK: gpu.launch_func @cuda_device_mod::@_QMmod1Psub1 clusters in (%c2{{.*}}, %c2{{.*}}, %c1{{.*}}) {cuf.proc_attr = #cuf.cuda_proc<global>}

// -----

Expand Down Expand Up @@ -107,7 +107,7 @@ module attributes {gpu.container_module, dlti.dl_spec = #dlti.dl_spec<#dlti.dl_e
// CHECK: %[[CONV_ADDR:.*]] = fir.convert %[[ADDROF]] : (!fir.ref<!fir.box<!fir.ptr<!fir.array<?xf32>>>>) -> !fir.llvm_ptr<i8>
// CHECK: %[[DEVADDR:.*]] = fir.call @_FortranACUFGetDeviceAddress(%[[CONV_ADDR]], %{{.*}}, %{{.*}}) : (!fir.llvm_ptr<i8>, !fir.ref<i8>, i32) -> !fir.llvm_ptr<i8>
// CHECK: %[[CONV_DEVADDR:.*]] = fir.convert %[[DEVADDR]] : (!fir.llvm_ptr<i8>) -> !fir.ref<!fir.box<!fir.ptr<!fir.array<?xf32>>>>
// CHECK: gpu.launch_func @cuda_device_mod::@_QMdevptrPtest blocks in (%{{.*}}, %{{.*}}, %{{.*}}) threads in (%{{.*}}, %{{.*}}, %{{.*}}) dynamic_shared_memory_size %{{.*}} args(%[[CONV_DEVADDR]] : !fir.ref<!fir.box<!fir.ptr<!fir.array<?xf32>>>>)
// CHECK: gpu.launch_func @cuda_device_mod::@_QMdevptrPtest blocks in (%{{.*}}, %{{.*}}, %{{.*}}) threads in (%{{.*}}, %{{.*}}, %{{.*}}) dynamic_shared_memory_size %{{.*}} args(%[[CONV_DEVADDR]] : !fir.ref<!fir.box<!fir.ptr<!fir.array<?xf32>>>>) {cuf.proc_attr = #cuf.cuda_proc<global>}

// -----

Expand Down
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