1
0
mirror of https://github.com/RPCS3/llvm-mirror.git synced 2024-11-22 18:54:02 +01:00
llvm-mirror/unittests/Analysis/InlineCostTest.cpp
Jacob Hegna 721423a975 Unpack the CostEstimate feature in ML inlining models.
This change yields an additional 2% size reduction on an internal search
binary, and an additional 0.5% size reduction on fuchsia.

Differential Revision: https://reviews.llvm.org/D104751
2021-07-02 16:57:16 +00:00

78 lines
2.1 KiB
C++

//===- InlineCostTest.cpp - test for InlineCost ---------------------------===//
//
// 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
//
//===----------------------------------------------------------------------===//
#include "llvm/Analysis/InlineCost.h"
#include "llvm/Analysis/TargetTransformInfo.h"
#include "llvm/AsmParser/Parser.h"
#include "llvm/IR/Instructions.h"
#include "llvm/IR/LLVMContext.h"
#include "llvm/IR/Module.h"
#include "gtest/gtest.h"
namespace {
// Tests that we can retrieve the CostFeatures without an error
TEST(InlineCostTest, CostFeatures) {
using namespace llvm;
const auto *const IR = R"IR(
define i32 @f(i32) {
ret i32 4
}
define i32 @g(i32) {
%2 = call i32 @f(i32 0)
ret i32 %2
}
)IR";
LLVMContext C;
SMDiagnostic Err;
std::unique_ptr<Module> M = parseAssemblyString(IR, Err, C);
ASSERT_TRUE(M);
auto *G = M->getFunction("g");
ASSERT_TRUE(G);
// find the call to f in g
CallBase *CB = nullptr;
for (auto &BB : *G) {
for (auto &I : BB) {
if ((CB = dyn_cast<CallBase>(&I)))
break;
}
}
ASSERT_TRUE(CB);
ModuleAnalysisManager MAM;
FunctionAnalysisManager FAM;
FAM.registerPass([&] { return TargetIRAnalysis(); });
FAM.registerPass([&] { return ModuleAnalysisManagerFunctionProxy(MAM); });
FAM.registerPass([&] { return AssumptionAnalysis(); });
MAM.registerPass([&] { return FunctionAnalysisManagerModuleProxy(FAM); });
MAM.registerPass([&] { return PassInstrumentationAnalysis(); });
FAM.registerPass([&] { return PassInstrumentationAnalysis(); });
ModulePassManager MPM;
MPM.run(*M, MAM);
auto GetAssumptionCache = [&](Function &F) -> AssumptionCache & {
return FAM.getResult<AssumptionAnalysis>(F);
};
auto &TIR = FAM.getResult<TargetIRAnalysis>(*G);
const auto Features =
llvm::getInliningCostFeatures(*CB, TIR, GetAssumptionCache);
// Check that the optional is not empty
ASSERT_TRUE(Features);
}
} // namespace