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[mlir] Prepare convert-gpu-to-spirv for OpenCL support #69941

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Nov 6, 2023
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2 changes: 1 addition & 1 deletion mlir/include/mlir/Conversion/Passes.td
Original file line number Diff line number Diff line change
Expand Up @@ -579,8 +579,8 @@ def ConvertGPUToSPIRV : Pass<"convert-gpu-to-spirv", "ModuleOp"> {
}];
let constructor = "mlir::createConvertGPUToSPIRVPass()";
let dependentDialects = [
"spirv::SPIRVDialect",
"func::FuncDialect",
"spirv::SPIRVDialect",
];
let options = [
Option<"use64bitIndex", "use-64bit-index",
Expand Down
19 changes: 11 additions & 8 deletions mlir/lib/Conversion/GPUToSPIRV/GPUToSPIRVPass.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -56,7 +56,7 @@ void GPUToSPIRVPass::runOnOperation() {
SmallVector<Operation *, 1> gpuModules;
OpBuilder builder(context);

auto getTargetEnvFromGPUModuleOp = [=](gpu::GPUModuleOp moduleOp) {
auto getTargetEnvFromGPUModuleOp = [*this](gpu::GPUModuleOp moduleOp) {
Operation *gpuModule = moduleOp.getOperation();
auto targetAttr = spirv::lookupTargetEnvOrDefault(gpuModule);
std::unique_ptr<ConversionTarget> target =
Expand All @@ -76,22 +76,24 @@ void GPUToSPIRVPass::runOnOperation() {
// This works fine for Vulkan shader that has a dedicated runner.
// But OpenCL kernel needs SPIRV module placed inside original GPU module as
// OpenCL uses GPU compilation pipeline.
auto targetEnv = getTargetEnvFromGPUModuleOp(moduleOp);
const mlir::spirv::TargetEnv& targetEnv = getTargetEnvFromGPUModuleOp(moduleOp);
FailureOr<spirv::MemoryModel> memoryModel =
spirv::getMemoryModel(targetEnv);
if (failed(memoryModel))
return signalPassFailure();
(memoryModel == spirv::MemoryModel::OpenCL)
? builder.setInsertionPoint(moduleOp.getBody(),
moduleOp.getBody()->begin())
: builder.setInsertionPoint(moduleOp.getOperation());
if (memoryModel == spirv::MemoryModel::OpenCL) {
builder.setInsertionPoint(moduleOp.getBody(),
moduleOp.getBody()->begin());
} else {
builder.setInsertionPoint(moduleOp.getOperation());
}
gpuModules.push_back(builder.clone(*moduleOp.getOperation()));
});

// Run conversion for each module independently as they can have different
// TargetEnv attributes.
for (Operation *gpuModule : gpuModules) {
auto targetAttr = spirv::lookupTargetEnvOrDefault(gpuModule);
mlir::spirv::TargetEnvAttr targetAttr = spirv::lookupTargetEnvOrDefault(gpuModule);
std::unique_ptr<ConversionTarget> target =
SPIRVConversionTarget::get(targetAttr);

Expand Down Expand Up @@ -143,11 +145,12 @@ void GPUToSPIRVPass::runOnOperation() {
if (failed(applyFullConversion(gpuModule, *target, std::move(patterns))))
return signalPassFailure();
}

// In case of OpenCL, gpu.func in original gpu.module needs to replaced with
// an empty func.func with same arguments as gpu.func. And it also needs
// gpu.kernel attribute set.
module.walk([&](gpu::GPUModuleOp moduleOp) {
auto targetEnv = getTargetEnvFromGPUModuleOp(moduleOp);
const mlir::spirv::TargetEnv& targetEnv = getTargetEnvFromGPUModuleOp(moduleOp);
FailureOr<spirv::MemoryModel> memoryModel =
spirv::getMemoryModel(targetEnv);
if (failed(memoryModel))
Expand Down