[mlir][linalg] Add support for masked vectorization of `tensor.insert_slice` (1/N...
[llvm-project.git] / llvm / lib / Analysis / CostModel.cpp
blobee6622516a5ac0cfee5e4ac4f0c4eb89a1481456
1 //===- CostModel.cpp ------ Cost Model Analysis ---------------------------===//
2 //
3 // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
4 // See https://llvm.org/LICENSE.txt for license information.
5 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
6 //
7 //===----------------------------------------------------------------------===//
8 //
9 // This file defines the cost model analysis. It provides a very basic cost
10 // estimation for LLVM-IR. This analysis uses the services of the codegen
11 // to approximate the cost of any IR instruction when lowered to machine
12 // instructions. The cost results are unit-less and the cost number represents
13 // the throughput of the machine assuming that all loads hit the cache, all
14 // branches are predicted, etc. The cost numbers can be added in order to
15 // compare two or more transformation alternatives.
17 //===----------------------------------------------------------------------===//
19 #include "llvm/Analysis/CostModel.h"
20 #include "llvm/Analysis/TargetTransformInfo.h"
21 #include "llvm/IR/Function.h"
22 #include "llvm/IR/IntrinsicInst.h"
23 #include "llvm/IR/PassManager.h"
24 #include "llvm/Pass.h"
25 #include "llvm/Support/CommandLine.h"
26 #include "llvm/Support/raw_ostream.h"
27 using namespace llvm;
29 static cl::opt<TargetTransformInfo::TargetCostKind> CostKind(
30 "cost-kind", cl::desc("Target cost kind"),
31 cl::init(TargetTransformInfo::TCK_RecipThroughput),
32 cl::values(clEnumValN(TargetTransformInfo::TCK_RecipThroughput,
33 "throughput", "Reciprocal throughput"),
34 clEnumValN(TargetTransformInfo::TCK_Latency,
35 "latency", "Instruction latency"),
36 clEnumValN(TargetTransformInfo::TCK_CodeSize,
37 "code-size", "Code size"),
38 clEnumValN(TargetTransformInfo::TCK_SizeAndLatency,
39 "size-latency", "Code size and latency")));
41 static cl::opt<bool> TypeBasedIntrinsicCost("type-based-intrinsic-cost",
42 cl::desc("Calculate intrinsics cost based only on argument types"),
43 cl::init(false));
45 #define CM_NAME "cost-model"
46 #define DEBUG_TYPE CM_NAME
48 PreservedAnalyses CostModelPrinterPass::run(Function &F,
49 FunctionAnalysisManager &AM) {
50 auto &TTI = AM.getResult<TargetIRAnalysis>(F);
51 OS << "Printing analysis 'Cost Model Analysis' for function '" << F.getName() << "':\n";
52 for (BasicBlock &B : F) {
53 for (Instruction &Inst : B) {
54 // TODO: Use a pass parameter instead of cl::opt CostKind to determine
55 // which cost kind to print.
56 InstructionCost Cost;
57 auto *II = dyn_cast<IntrinsicInst>(&Inst);
58 if (II && TypeBasedIntrinsicCost) {
59 IntrinsicCostAttributes ICA(II->getIntrinsicID(), *II,
60 InstructionCost::getInvalid(), true);
61 Cost = TTI.getIntrinsicInstrCost(ICA, CostKind);
63 else {
64 Cost = TTI.getInstructionCost(&Inst, CostKind);
67 if (auto CostVal = Cost.getValue())
68 OS << "Cost Model: Found an estimated cost of " << *CostVal;
69 else
70 OS << "Cost Model: Invalid cost";
72 OS << " for instruction: " << Inst << "\n";
75 return PreservedAnalyses::all();