Lines Matching full:count

26 // The following two parameters determine the threshold for a count to be
28 // by 10000). If the counts are sorted in descending order, the minimum count to
29 // reach ProfileSummaryCutoffHot gives the threshold to determine a hot count.
30 // Similarly, the minimum count to reach ProfileSummaryCutoffCold gives the
31 // threshold for determining cold count (everything <= this threshold is
35     cl::desc("A count is hot if it exceeds the minimum count to"
40     cl::desc("A count is cold if it is below the minimum count"
48              " percentile exceeds this count."));
55              " percentile exceeds this count."));
60     "profile-summary-hot-count", cl::ReallyHidden,
61     cl::desc("A fixed hot count that overrides the count derived from"
65     "profile-summary-cold-count", cl::ReallyHidden,
66     cl::desc("A fixed cold count that overrides the count derived from"
94   // The first counter is not necessarily an entry count for IR
108 // equivalent to a block with a count in the instrumented profile.
123     uint64_t Count = I.second.getSamples();
124       addCount(Count);
141   uint64_t CurrSum = 0, Count = 0;
153       Count = Iter->first;
155       CurrSum += (Count * Freq);
160     ProfileSummaryEntry PSE = {Cutoff, Count, CountsSeen};
201   // context. That makes the count distribution looks more flat as we now have
226 void InstrProfSummaryBuilder::addEntryCount(uint64_t Count) {
227   assert(Count <= getInstrMaxCountValue() &&
228          "Count value should be less than the max count value.");
230   addCount(Count);
231   if (Count > MaxFunctionCount)
232     MaxFunctionCount = Count;
235 void InstrProfSummaryBuilder::addInternalCount(uint64_t Count) {
236   assert(Count <= getInstrMaxCountValue() &&
237          "Count value should be less than the max count value.");
238   addCount(Count);
239   if (Count > MaxInternalBlockCount)
240     MaxInternalBlockCount = Count;