3 files changed, 76 insertions, 50 deletions
diff --git a/llvm/lib/ProfileData/CMakeLists.txt b/llvm/lib/ProfileData/CMakeLists.txt
index 22cca4b44df..c487ccad507 100644
--- a/llvm/lib/ProfileData/CMakeLists.txt
+++ b/llvm/lib/ProfileData/CMakeLists.txt
@@ -5,6 +5,7 @@ add_llvm_library(LLVMProfileData
   CoverageMapping.cpp
   CoverageMappingWriter.cpp
   CoverageMappingReader.cpp
+  ProfileSummary.cpp
   SampleProf.cpp
   SampleProfReader.cpp
   SampleProfWriter.cpp
diff --git a/llvm/lib/ProfileData/InstrProf.cpp b/llvm/lib/ProfileData/InstrProf.cpp
index ae97ace4633..679d04da57b 100644
--- a/llvm/lib/ProfileData/InstrProf.cpp
+++ b/llvm/lib/ProfileData/InstrProf.cpp
@@ -692,54 +692,4 @@ bool getValueProfDataFromInst(const Instruction &Inst,
   }
   return true;
 }
-
-// The argument to this method is a vector of cutoff percentages and the return
-// value is a vector of (Cutoff, MinBlockCount, NumBlocks) triplets.
-void ProfileSummary::computeDetailedSummary() {
-  if (DetailedSummaryCutoffs.empty())
-    return;
-  auto Iter = CountFrequencies.begin();
-  auto End = CountFrequencies.end();
-  std::sort(DetailedSummaryCutoffs.begin(), DetailedSummaryCutoffs.end());
-
-  uint32_t BlocksSeen = 0;
-  uint64_t CurrSum = 0, Count = 0;
-
-  for (uint32_t Cutoff : DetailedSummaryCutoffs) {
-    assert(Cutoff <= 999999);
-    APInt Temp(128, TotalCount);
-    APInt N(128, Cutoff);
-    APInt D(128, ProfileSummary::Scale);
-    Temp *= N;
-    Temp = Temp.sdiv(D);
-    uint64_t DesiredCount = Temp.getZExtValue();
-    assert(DesiredCount <= TotalCount);
-    while (CurrSum < DesiredCount && Iter != End) {
-      Count = Iter->first;
-      uint32_t Freq = Iter->second;
-      CurrSum += (Count * Freq);
-      BlocksSeen += Freq;
-      Iter++;
-    }
-    assert(CurrSum >= DesiredCount);
-    ProfileSummaryEntry PSE = {Cutoff, Count, BlocksSeen};
-    DetailedSummary.push_back(PSE);
-  }
-}
-
-ProfileSummary::ProfileSummary(const IndexedInstrProf::Summary &S)
-    : TotalCount(S.get(IndexedInstrProf::Summary::TotalBlockCount)),
-      MaxBlockCount(S.get(IndexedInstrProf::Summary::MaxBlockCount)),
-      MaxInternalBlockCount(
-          S.get(IndexedInstrProf::Summary::MaxInternalBlockCount)),
-      MaxFunctionCount(S.get(IndexedInstrProf::Summary::MaxFunctionCount)),
-      NumBlocks(S.get(IndexedInstrProf::Summary::TotalNumBlocks)),
-      NumFunctions(S.get(IndexedInstrProf::Summary::TotalNumFunctions)) {
-  for (unsigned I = 0; I < S.NumCutoffEntries; I++) {
-    const IndexedInstrProf::Summary::Entry &Ent = S.getEntry(I);
-    DetailedSummary.emplace_back((uint32_t)Ent.Cutoff, Ent.MinBlockCount,
-                                 Ent.NumBlocks);
-  }
-}
-
 } // end namespace llvm
diff --git a/llvm/lib/ProfileData/ProfileSummary.cpp b/llvm/lib/ProfileData/ProfileSummary.cpp
new file mode 100644
index 00000000000..a16094be20f
--- /dev/null
+++ b/llvm/lib/ProfileData/ProfileSummary.cpp
@@ -0,0 +1,75 @@
+//=-- Profilesummary.cpp - Profile summary computation ----------------------=//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+//
+// This file contains support for computing profile summary data.
+//
+//===----------------------------------------------------------------------===//
+
+#include "llvm/ProfileData/ProfileCommon.h"
+#include "llvm/ProfileData/InstrProf.h"
+
+using namespace llvm;
+
+void ProfileSummary::addRecord(const InstrProfRecord &R) {
+  NumFunctions++;
+  if (R.Counts[0] > MaxFunctionCount)
+    MaxFunctionCount = R.Counts[0];
+
+  for (size_t I = 0, E = R.Counts.size(); I < E; ++I)
+    addCount(R.Counts[I], (I == 0));
+}
+
+// The argument to this method is a vector of cutoff percentages and the return
+// value is a vector of (Cutoff, MinBlockCount, NumBlocks) triplets.
+void ProfileSummary::computeDetailedSummary() {
+  if (DetailedSummaryCutoffs.empty())
+    return;
+  auto Iter = CountFrequencies.begin();
+  auto End = CountFrequencies.end();
+  std::sort(DetailedSummaryCutoffs.begin(), DetailedSummaryCutoffs.end());
+
+  uint32_t BlocksSeen = 0;
+  uint64_t CurrSum = 0, Count = 0;
+
+  for (uint32_t Cutoff : DetailedSummaryCutoffs) {
+    assert(Cutoff <= 999999);
+    APInt Temp(128, TotalCount);
+    APInt N(128, Cutoff);
+    APInt D(128, ProfileSummary::Scale);
+    Temp *= N;
+    Temp = Temp.sdiv(D);
+    uint64_t DesiredCount = Temp.getZExtValue();
+    assert(DesiredCount <= TotalCount);
+    while (CurrSum < DesiredCount && Iter != End) {
+      Count = Iter->first;
+      uint32_t Freq = Iter->second;
+      CurrSum += (Count * Freq);
+      BlocksSeen += Freq;
+      Iter++;
+    }
+    assert(CurrSum >= DesiredCount);
+    ProfileSummaryEntry PSE = {Cutoff, Count, BlocksSeen};
+    DetailedSummary.push_back(PSE);
+  }
+}
+
+ProfileSummary::ProfileSummary(const IndexedInstrProf::Summary &S)
+    : TotalCount(S.get(IndexedInstrProf::Summary::TotalBlockCount)),
+      MaxBlockCount(S.get(IndexedInstrProf::Summary::MaxBlockCount)),
+      MaxInternalBlockCount(
+          S.get(IndexedInstrProf::Summary::MaxInternalBlockCount)),
+      MaxFunctionCount(S.get(IndexedInstrProf::Summary::MaxFunctionCount)),
+      NumBlocks(S.get(IndexedInstrProf::Summary::TotalNumBlocks)),
+      NumFunctions(S.get(IndexedInstrProf::Summary::TotalNumFunctions)) {
+  for (unsigned I = 0; I < S.NumCutoffEntries; I++) {
+    const IndexedInstrProf::Summary::Entry &Ent = S.getEntry(I);
+    DetailedSummary.emplace_back((uint32_t)Ent.Cutoff, Ent.MinBlockCount,
+                                 Ent.NumBlocks);
+  }
+}