1 | //===-- LatencyBenchmarkRunner.cpp ------------------------------*- C++ -*-===// |
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 | #include "LatencyBenchmarkRunner.h" |
10 | |
11 | #include "BenchmarkRunner.h" |
12 | #include "Target.h" |
13 | #include "llvm/ADT/Twine.h" |
14 | #include "llvm/Support/Error.h" |
15 | #include <algorithm> |
16 | #include <cmath> |
17 | |
18 | #define DEBUG_TYPE "exegesis-latency-benchmarkrunner" |
19 | |
20 | namespace llvm { |
21 | namespace exegesis { |
22 | |
23 | LatencyBenchmarkRunner::LatencyBenchmarkRunner( |
24 | const LLVMState &State, Benchmark::ModeE Mode, |
25 | BenchmarkPhaseSelectorE BenchmarkPhaseSelector, |
26 | Benchmark::ResultAggregationModeE ResultAgg, ExecutionModeE ExecutionMode, |
27 | ArrayRef<ValidationEvent> ValCounters, unsigned BenchmarkRepeatCount) |
28 | : BenchmarkRunner(State, Mode, BenchmarkPhaseSelector, ExecutionMode, |
29 | ValCounters) { |
30 | assert((Mode == Benchmark::Latency || Mode == Benchmark::InverseThroughput) && |
31 | "invalid mode" ); |
32 | ResultAggMode = ResultAgg; |
33 | NumMeasurements = BenchmarkRepeatCount; |
34 | } |
35 | |
36 | LatencyBenchmarkRunner::~LatencyBenchmarkRunner() = default; |
37 | |
38 | static double computeVariance(const SmallVector<int64_t, 4> &Values) { |
39 | if (Values.empty()) |
40 | return 0.0; |
41 | double Sum = std::accumulate(first: Values.begin(), last: Values.end(), init: 0.0); |
42 | |
43 | const double Mean = Sum / Values.size(); |
44 | double Ret = 0; |
45 | for (const auto &V : Values) { |
46 | double Delta = V - Mean; |
47 | Ret += Delta * Delta; |
48 | } |
49 | return Ret / Values.size(); |
50 | } |
51 | |
52 | static int64_t findMin(const SmallVector<int64_t, 4> &Values) { |
53 | if (Values.empty()) |
54 | return 0; |
55 | return *llvm::min_element(Range: Values); |
56 | } |
57 | |
58 | static int64_t findMax(const SmallVector<int64_t, 4> &Values) { |
59 | if (Values.empty()) |
60 | return 0; |
61 | return *llvm::max_element(Range: Values); |
62 | } |
63 | |
64 | static int64_t findMean(const SmallVector<int64_t, 4> &Values) { |
65 | if (Values.empty()) |
66 | return 0; |
67 | return std::accumulate(first: Values.begin(), last: Values.end(), init: 0.0) / |
68 | static_cast<double>(Values.size()); |
69 | } |
70 | |
71 | Expected<std::vector<BenchmarkMeasure>> LatencyBenchmarkRunner::runMeasurements( |
72 | const FunctionExecutor &Executor) const { |
73 | // Cycle measurements include some overhead from the kernel. Repeat the |
74 | // measure several times and return the aggregated value, as specified by |
75 | // ResultAggMode. |
76 | SmallVector<int64_t, 4> AccumulatedValues; |
77 | double MinVariance = std::numeric_limits<double>::infinity(); |
78 | const PfmCountersInfo &PCI = State.getPfmCounters(); |
79 | const char *CounterName = PCI.CycleCounter; |
80 | |
81 | SmallVector<const char *> ValCountersToRun; |
82 | Error ValCounterErr = getValidationCountersToRun(ValCountersToRun); |
83 | if (ValCounterErr) |
84 | return std::move(ValCounterErr); |
85 | |
86 | SmallVector<int64_t> ValCounterValues(ValCountersToRun.size(), 0); |
87 | // Values count for each run. |
88 | int ValuesCount = 0; |
89 | for (size_t I = 0; I < NumMeasurements; ++I) { |
90 | SmallVector<int64_t> IterationValCounterValues(ValCountersToRun.size(), -1); |
91 | auto ExpectedCounterValues = Executor.runAndSample( |
92 | Counters: CounterName, ValidationCounters: ValCountersToRun, ValidationCounterValues&: IterationValCounterValues); |
93 | if (!ExpectedCounterValues) |
94 | return ExpectedCounterValues.takeError(); |
95 | ValuesCount = ExpectedCounterValues.get().size(); |
96 | if (ValuesCount == 1) { |
97 | LLVM_DEBUG(dbgs() << "Latency value: " << ExpectedCounterValues.get()[0] |
98 | << "\n" ); |
99 | AccumulatedValues.push_back(Elt: ExpectedCounterValues.get()[0]); |
100 | } else { |
101 | // We'll keep the reading with lowest variance (ie., most stable) |
102 | double Variance = computeVariance(Values: *ExpectedCounterValues); |
103 | if (MinVariance > Variance) { |
104 | AccumulatedValues = std::move(ExpectedCounterValues.get()); |
105 | MinVariance = Variance; |
106 | } |
107 | } |
108 | |
109 | for (size_t I = 0; I < ValCounterValues.size(); ++I) { |
110 | LLVM_DEBUG(dbgs() << getValidationEventName(ValidationCounters[I]) << ": " |
111 | << IterationValCounterValues[I] << "\n" ); |
112 | ValCounterValues[I] += IterationValCounterValues[I]; |
113 | } |
114 | } |
115 | |
116 | std::map<ValidationEvent, int64_t> ValidationInfo; |
117 | for (size_t I = 0; I < ValidationCounters.size(); ++I) |
118 | ValidationInfo[ValidationCounters[I]] = ValCounterValues[I]; |
119 | |
120 | std::string ModeName; |
121 | switch (Mode) { |
122 | case Benchmark::Latency: |
123 | ModeName = "latency" ; |
124 | break; |
125 | case Benchmark::InverseThroughput: |
126 | ModeName = "inverse_throughput" ; |
127 | break; |
128 | default: |
129 | break; |
130 | } |
131 | |
132 | switch (ResultAggMode) { |
133 | case Benchmark::MinVariance: { |
134 | if (ValuesCount == 1) |
135 | errs() << "Each sample only has one value. result-aggregation-mode " |
136 | "of min-variance is probably non-sensical\n" ; |
137 | std::vector<BenchmarkMeasure> Result; |
138 | Result.reserve(n: AccumulatedValues.size()); |
139 | for (const int64_t Value : AccumulatedValues) |
140 | Result.push_back( |
141 | x: BenchmarkMeasure::Create(Key: ModeName, Value, ValCounters: ValidationInfo)); |
142 | return std::move(Result); |
143 | } |
144 | case Benchmark::Min: { |
145 | std::vector<BenchmarkMeasure> Result; |
146 | Result.push_back(x: BenchmarkMeasure::Create( |
147 | Key: ModeName, Value: findMin(Values: AccumulatedValues), ValCounters: ValidationInfo)); |
148 | return std::move(Result); |
149 | } |
150 | case Benchmark::Max: { |
151 | std::vector<BenchmarkMeasure> Result; |
152 | Result.push_back(x: BenchmarkMeasure::Create( |
153 | Key: ModeName, Value: findMax(Values: AccumulatedValues), ValCounters: ValidationInfo)); |
154 | return std::move(Result); |
155 | } |
156 | case Benchmark::Mean: { |
157 | std::vector<BenchmarkMeasure> Result; |
158 | Result.push_back(x: BenchmarkMeasure::Create( |
159 | Key: ModeName, Value: findMean(Values: AccumulatedValues), ValCounters: ValidationInfo)); |
160 | return std::move(Result); |
161 | } |
162 | } |
163 | return make_error<Failure>(Args: Twine("Unexpected benchmark mode(" ) |
164 | .concat(Suffix: std::to_string(val: Mode)) |
165 | .concat(Suffix: " and unexpected ResultAggMode " ) |
166 | .concat(Suffix: std::to_string(val: ResultAggMode))); |
167 | } |
168 | |
169 | } // namespace exegesis |
170 | } // namespace llvm |
171 | |