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MachineBranchProbabilityInfo.h
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1 //=- MachineBranchProbabilityInfo.h - Branch Probability Analysis -*- C++ -*-=//
2 //
3 // The LLVM Compiler Infrastructure
4 //
5 // This file is distributed under the University of Illinois Open Source
6 // License. See LICENSE.TXT for details.
7 //
8 //===----------------------------------------------------------------------===//
9 //
10 // This pass is used to evaluate branch probabilties on machine basic blocks.
11 //
12 //===----------------------------------------------------------------------===//
13 
14 #ifndef LLVM_CODEGEN_MACHINEBRANCHPROBABILITYINFO_H
15 #define LLVM_CODEGEN_MACHINEBRANCHPROBABILITYINFO_H
16 
18 #include "llvm/Pass.h"
20 #include <climits>
21 
22 namespace llvm {
23 
25  virtual void anchor();
26 
27  // Default weight value. Used when we don't have information about the edge.
28  // TODO: DEFAULT_WEIGHT makes sense during static predication, when none of
29  // the successors have a weight yet. But it doesn't make sense when providing
30  // weight to an edge that may have siblings with non-zero weights. This can
31  // be handled various ways, but it's probably fine for an edge with unknown
32  // weight to just "inherit" the non-zero weight of an adjacent successor.
33  static const uint32_t DEFAULT_WEIGHT = 16;
34 
35 public:
36  static char ID;
37 
41  }
42 
43  void getAnalysisUsage(AnalysisUsage &AU) const {
44  AU.setPreservesAll();
45  }
46 
47  // Return edge weight. If we don't have any informations about it - return
48  // DEFAULT_WEIGHT.
49  uint32_t getEdgeWeight(const MachineBasicBlock *Src,
50  const MachineBasicBlock *Dst) const;
51 
52  // Same thing, but using a const_succ_iterator from Src. This is faster when
53  // the iterator is already available.
54  uint32_t getEdgeWeight(const MachineBasicBlock *Src,
56 
57  // Get sum of the block successors' weights, potentially scaling them to fit
58  // within 32-bits. If scaling is required, sets Scale based on the necessary
59  // adjustment. Any edge weights used with the sum should be divided by Scale.
60  uint32_t getSumForBlock(const MachineBasicBlock *MBB, uint32_t &Scale) const;
61 
62  // A 'Hot' edge is an edge which probability is >= 80%.
63  bool isEdgeHot(MachineBasicBlock *Src, MachineBasicBlock *Dst) const;
64 
65  // Return a hot successor for the block BB or null if there isn't one.
66  // NB: This routine's complexity is linear on the number of successors.
68 
69  // Return a probability as a fraction between 0 (0% probability) and
70  // 1 (100% probability), however the value is never equal to 0, and can be 1
71  // only iff SRC block has only one successor.
72  // NB: This routine's complexity is linear on the number of successors of
73  // Src. Querying sequentially for each successor's probability is a quadratic
74  // query pattern.
76  MachineBasicBlock *Dst) const;
77 
78  // Print value between 0 (0% probability) and 1 (100% probability),
79  // however the value is never equal to 0, and can be 1 only iff SRC block
80  // has only one successor.
82  MachineBasicBlock *Dst) const;
83 };
84 
85 }
86 
87 
88 #endif
static PassRegistry * getPassRegistry()
void getAnalysisUsage(AnalysisUsage &AU) const
BranchProbability getEdgeProbability(MachineBasicBlock *Src, MachineBasicBlock *Dst) const
bool isEdgeHot(MachineBasicBlock *Src, MachineBasicBlock *Dst) const
MachineBasicBlock * getHotSucc(MachineBasicBlock *MBB) const
uint32_t getSumForBlock(const MachineBasicBlock *MBB, uint32_t &Scale) const
raw_ostream & printEdgeProbability(raw_ostream &OS, MachineBasicBlock *Src, MachineBasicBlock *Dst) const
void initializeMachineBranchProbabilityInfoPass(PassRegistry &)
uint32_t getEdgeWeight(const MachineBasicBlock *Src, const MachineBasicBlock *Dst) const
std::vector< MachineBasicBlock * >::const_iterator const_succ_iterator