llvm-project/mlir/unittests/Target/LLVM/SerializeToLLVMBitcode.cpp
Zichen Lu fbffdaa174
[MLIR][GPU] Update serializeToObject to use SerializedObject wrapper and include ISA compiler logs (#176697)
This PR makes the compilation log from ISA compiler available to users
by returning it as part of the `gpu::ObjectAttr` properties, following
the existing pattern like `LLVMIRToISATimeInMs`.

Currently, the compiler log (which contains useful information such as
spill statistics when --verbose is passed) is only accessible in debug
builds via `LLVM_DEBUG`. However, there are good reasons to make this
information available in release builds as well:

1. Both `ptxas` and `libnvptxcompiler` are publicly available
tools/libraries distributed with the CUDA Toolkit. The `--verbose` flag
and its output are documented public features, not internal debug
information.
2. The verbose output provides valuable insights for users.

A new `SerializedObject` class is used to carry the metadata alongside
the binary when returning from `serializeObject`.
2026-01-30 12:56:20 +01:00

246 lines
8.9 KiB
C++

//===- SerializeToLLVMBitcode.cpp -------------------------------*- C++ -*-===//
//
// This file is licensed 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
//
//===----------------------------------------------------------------------===//
#include "mlir/Dialect/GPU/IR/GPUDialect.h"
#include "mlir/IR/BuiltinDialect.h"
#include "mlir/IR/BuiltinOps.h"
#include "mlir/IR/MLIRContext.h"
#include "mlir/Parser/Parser.h"
#include "mlir/Target/LLVM/ModuleToObject.h"
#include "mlir/Target/LLVMIR/Dialect/Builtin/BuiltinToLLVMIRTranslation.h"
#include "mlir/Target/LLVMIR/Dialect/LLVMIR/LLVMToLLVMIRTranslation.h"
#include "llvm/IRReader/IRReader.h"
#include "llvm/Support/MemoryBufferRef.h"
#include "llvm/Support/TargetSelect.h"
#include "llvm/Support/raw_ostream.h"
#include "llvm/TargetParser/Host.h"
#include "gmock/gmock.h"
using namespace mlir;
// Skip the test if the native target was not built.
#if LLVM_NATIVE_TARGET_TEST_ENABLED == 0
#define SKIP_WITHOUT_NATIVE(x) DISABLED_##x
#else
#define SKIP_WITHOUT_NATIVE(x) x
#endif
namespace {
// Dummy interface for testing.
class TargetAttrImpl
: public gpu::TargetAttrInterface::FallbackModel<TargetAttrImpl> {
public:
std::optional<mlir::gpu::SerializedObject>
serializeToObject(Attribute attribute, Operation *module,
const gpu::TargetOptions &options) const;
Attribute createObject(Attribute attribute, Operation *module,
const mlir::gpu::SerializedObject &object,
const gpu::TargetOptions &options) const;
};
} // namespace
class MLIRTargetLLVM : public ::testing::Test {
protected:
void SetUp() override {
llvm::InitializeNativeTarget();
llvm::InitializeNativeTargetAsmPrinter();
registry.addExtension(+[](MLIRContext *ctx, BuiltinDialect *dialect) {
IntegerAttr::attachInterface<TargetAttrImpl>(*ctx);
});
registerBuiltinDialectTranslation(registry);
registerLLVMDialectTranslation(registry);
registry.insert<gpu::GPUDialect>();
}
// Dialect registry.
DialectRegistry registry;
// MLIR module used for the tests.
std::string moduleStr = R"mlir(
llvm.func @foo(%arg0 : i32) {
llvm.return
}
)mlir";
};
TEST_F(MLIRTargetLLVM, SKIP_WITHOUT_NATIVE(SerializeToLLVMBitcode)) {
MLIRContext context(registry);
OwningOpRef<ModuleOp> module =
parseSourceString<ModuleOp>(moduleStr, &context);
ASSERT_TRUE(!!module);
// Serialize the module.
std::string targetTriple = llvm::sys::getProcessTriple();
LLVM::ModuleToObject serializer(*(module->getOperation()), targetTriple, "",
"");
std::optional<mlir::gpu::SerializedObject> serializedModule =
serializer.run();
ASSERT_TRUE(!!serializedModule);
ASSERT_TRUE(!serializedModule->getObject().empty());
// Read the serialized module.
llvm::MemoryBufferRef buffer(StringRef(serializedModule->getObject().data(),
serializedModule->getObject().size()),
"module");
llvm::LLVMContext llvmContext;
llvm::Expected<std::unique_ptr<llvm::Module>> llvmModule =
llvm::getLazyBitcodeModule(buffer, llvmContext);
ASSERT_TRUE(!!llvmModule);
ASSERT_TRUE(!!*llvmModule);
// Check that it has a function named `foo`.
ASSERT_TRUE((*llvmModule)->getFunction("foo") != nullptr);
}
std::optional<mlir::gpu::SerializedObject>
TargetAttrImpl::serializeToObject(Attribute attribute, Operation *module,
const gpu::TargetOptions &options) const {
// Set a dummy attr to be retrieved by `createObject`.
module->setAttr("serialize_attr", UnitAttr::get(module->getContext()));
std::string targetTriple = llvm::sys::getProcessTriple();
LLVM::ModuleToObject serializer(
*module, targetTriple, "", "", 3, options.getInitialLlvmIRCallback(),
options.getLinkedLlvmIRCallback(), options.getOptimizedLlvmIRCallback());
return serializer.run();
}
Attribute
TargetAttrImpl::createObject(Attribute attribute, Operation *module,
const mlir::gpu::SerializedObject &object,
const gpu::TargetOptions &options) const {
// Create a GPU object with the GPU module dictionary as the object
// properties.
return gpu::ObjectAttr::get(
module->getContext(), attribute, gpu::CompilationTarget::Offload,
StringAttr::get(
module->getContext(),
StringRef(object.getObject().data(), object.getObject().size())),
module->getAttrDictionary(), /*kernels=*/nullptr);
}
// This test checks the correct functioning of `TargetAttrInterface` as an API.
// In particular, it shows how `TargetAttrInterface::createObject` can leverage
// the `module` operation argument to retrieve information from the module.
TEST_F(MLIRTargetLLVM, SKIP_WITHOUT_NATIVE(TargetAttrAPI)) {
MLIRContext context(registry);
context.loadAllAvailableDialects();
OwningOpRef<ModuleOp> module =
parseSourceString<ModuleOp>(moduleStr, &context);
ASSERT_TRUE(!!module);
Builder builder(&context);
IntegerAttr target = builder.getI32IntegerAttr(0);
auto targetAttr = dyn_cast<gpu::TargetAttrInterface>(target);
// Check the attribute holds the interface.
ASSERT_TRUE(!!targetAttr);
gpu::TargetOptions opts;
std::optional<mlir::gpu::SerializedObject> serializedBinary =
targetAttr.serializeToObject(*module, opts);
// Check the serialized string.
ASSERT_TRUE(!!serializedBinary);
ASSERT_TRUE(!serializedBinary->getObject().empty());
// Create the object attribute.
auto object = cast<gpu::ObjectAttr>(
targetAttr.createObject(*module, *serializedBinary, opts));
// Check the object has properties.
DictionaryAttr properties = object.getProperties();
ASSERT_TRUE(!!properties);
// Check that it contains the attribute added to the module in
// `serializeToObject`.
ASSERT_TRUE(properties.contains("serialize_attr"));
}
// Test callback function invoked with initial LLVM IR
TEST_F(MLIRTargetLLVM, SKIP_WITHOUT_NATIVE(CallbackInvokedWithInitialLLVMIR)) {
MLIRContext context(registry);
OwningOpRef<ModuleOp> module =
parseSourceString<ModuleOp>(moduleStr, &context);
ASSERT_TRUE(!!module);
Builder builder(&context);
IntegerAttr target = builder.getI32IntegerAttr(0);
auto targetAttr = dyn_cast<gpu::TargetAttrInterface>(target);
std::string initialLLVMIR;
auto initialCallback = [&initialLLVMIR](llvm::Module &module) {
llvm::raw_string_ostream ros(initialLLVMIR);
module.print(ros, nullptr);
};
gpu::TargetOptions opts(
{}, {}, {}, {}, mlir::gpu::TargetOptions::getDefaultCompilationTarget(),
{}, initialCallback);
std::optional<mlir::gpu::SerializedObject> serializedBinary =
targetAttr.serializeToObject(*module, opts);
ASSERT_TRUE(serializedBinary != std::nullopt);
ASSERT_TRUE(!serializedBinary->getObject().empty());
ASSERT_TRUE(!initialLLVMIR.empty());
}
// Test callback function invoked with linked LLVM IR
TEST_F(MLIRTargetLLVM, SKIP_WITHOUT_NATIVE(CallbackInvokedWithLinkedLLVMIR)) {
MLIRContext context(registry);
OwningOpRef<ModuleOp> module =
parseSourceString<ModuleOp>(moduleStr, &context);
ASSERT_TRUE(!!module);
Builder builder(&context);
IntegerAttr target = builder.getI32IntegerAttr(0);
auto targetAttr = dyn_cast<gpu::TargetAttrInterface>(target);
std::string linkedLLVMIR;
auto linkedCallback = [&linkedLLVMIR](llvm::Module &module) {
llvm::raw_string_ostream ros(linkedLLVMIR);
module.print(ros, nullptr);
};
gpu::TargetOptions opts(
{}, {}, {}, {}, mlir::gpu::TargetOptions::getDefaultCompilationTarget(),
{}, {}, linkedCallback);
std::optional<mlir::gpu::SerializedObject> serializedBinary =
targetAttr.serializeToObject(*module, opts);
ASSERT_TRUE(serializedBinary != std::nullopt);
ASSERT_TRUE(!serializedBinary->getObject().empty());
ASSERT_TRUE(!linkedLLVMIR.empty());
}
// Test callback function invoked with optimized LLVM IR
TEST_F(MLIRTargetLLVM,
SKIP_WITHOUT_NATIVE(CallbackInvokedWithOptimizedLLVMIR)) {
MLIRContext context(registry);
OwningOpRef<ModuleOp> module =
parseSourceString<ModuleOp>(moduleStr, &context);
ASSERT_TRUE(!!module);
Builder builder(&context);
IntegerAttr target = builder.getI32IntegerAttr(0);
auto targetAttr = dyn_cast<gpu::TargetAttrInterface>(target);
std::string optimizedLLVMIR;
auto optimizedCallback = [&optimizedLLVMIR](llvm::Module &module) {
llvm::raw_string_ostream ros(optimizedLLVMIR);
module.print(ros, nullptr);
};
gpu::TargetOptions opts(
{}, {}, {}, {}, mlir::gpu::TargetOptions::getDefaultCompilationTarget(),
{}, {}, {}, optimizedCallback);
std::optional<mlir::gpu::SerializedObject> serializedBinary =
targetAttr.serializeToObject(*module, opts);
ASSERT_TRUE(serializedBinary != std::nullopt);
ASSERT_TRUE(!serializedBinary->getObject().empty());
ASSERT_TRUE(!optimizedLLVMIR.empty());
}