| 1 | //===--- DecisionForestBenchmark.cpp ------------*- C++ -*-===// |
| 2 | // |
| 3 | // Benchmark for code completion ranking latency. |
| 4 | // |
| 5 | // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. |
| 6 | // See https://llvm.org/LICENSE.txt for license information. |
| 7 | // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
| 8 | // |
| 9 | // Usage: |
| 10 | // ninja DecisionForestBenchmark && \ |
| 11 | // tools/clang/tools/extra/clangd/benchmarks/CompletionModel/DecisionForestBenchmark |
| 12 | //===----------------------------------------------------------------------===// |
| 13 | |
| 14 | #include "CompletionModel.h" |
| 15 | #include "benchmark/benchmark.h" |
| 16 | #include "llvm/ADT/StringRef.h" |
| 17 | |
| 18 | #include <random> |
| 19 | |
| 20 | namespace clang { |
| 21 | namespace clangd { |
| 22 | namespace { |
| 23 | std::vector<Example> generateRandomDataset(int NumExamples) { |
| 24 | auto FlipCoin = [&](double Probability) { |
| 25 | return rand() % 1000 <= Probability * 1000; |
| 26 | }; |
| 27 | auto RandInt = [&](int Max) { return rand() % Max; }; |
| 28 | auto RandFloat = [&](float Max = 1.0) { |
| 29 | return rand() % 1000 / 1000.0 * Max; |
| 30 | }; |
| 31 | |
| 32 | std::vector<Example> Examples; |
| 33 | Examples.reserve(NumExamples); |
| 34 | for (int I = 0; I < NumExamples; ++I) { |
| 35 | Example E; |
| 36 | E.setIsDeprecated(FlipCoin(0.1)); // Boolean. |
| 37 | E.setIsReservedName(FlipCoin(0.1)); // Boolean. |
| 38 | E.setIsImplementationDetail(FlipCoin(0.3)); // Boolean. |
| 39 | E.setNumReferences(RandInt(10000)); // Can be large integer. |
| 40 | E.setSymbolCategory(RandInt(10)); // 10 Symbol Category. |
| 41 | E.setNumNameInContext(RandInt(20)); // 0 to ContextWords->size(). |
| 42 | E.setFractionNameInContext(RandFloat(1.0)); // Float in range [0,1]. |
| 43 | E.setIsNameInContext(FlipCoin(0.5)); // Boolean. |
| 44 | E.setIsInBaseClass(FlipCoin(0.3)); // Boolean. |
| 45 | E.setFileProximityDistanceCost( |
| 46 | FlipCoin(0.1) ? 999999 // Sometimes file distance is not available. |
| 47 | : RandInt(20)); |
| 48 | E.setSemaFileProximityScore(RandFloat(1)); // Float in range [0,1]. |
| 49 | E.setSymbolScopeDistanceCost( |
| 50 | FlipCoin(0.1) ? 999999 // Sometimes scope distance is not available. |
| 51 | : RandInt(20)); |
| 52 | E.setSemaSaysInScope(FlipCoin(0.5)); // Boolean. |
| 53 | E.setScope(RandInt(4)); // 4 Scopes. |
| 54 | E.setContextKind(RandInt(36)); // 36 Context kinds. |
| 55 | E.setIsInstanceMember(FlipCoin(0.5)); // Boolean. |
| 56 | E.setHadContextType(FlipCoin(0.6)); // Boolean. |
| 57 | E.setHadSymbolType(FlipCoin(0.6)); // Boolean. |
| 58 | E.setTypeMatchesPreferred(FlipCoin(0.5)); // Boolean. |
| 59 | Examples.push_back(E); |
| 60 | } |
| 61 | return Examples; |
| 62 | } |
| 63 | |
| 64 | void runDecisionForestPrediction(const std::vector<Example> Examples) { |
| 65 | for (const Example &E : Examples) |
| 66 | Evaluate(E); |
| 67 | } |
| 68 | |
| 69 | static void decisionForestPredict(benchmark::State &State) { |
| 70 | srand(seed: 0); |
| 71 | for (auto _ : State) { |
| 72 | State.PauseTiming(); |
| 73 | const std::vector<Example> Examples = generateRandomDataset(1000000); |
| 74 | State.ResumeTiming(); |
| 75 | runDecisionForestPrediction(Examples); |
| 76 | } |
| 77 | } |
| 78 | BENCHMARK(decisionForestPredict); |
| 79 | |
| 80 | } // namespace |
| 81 | } // namespace clangd |
| 82 | } // namespace clang |
| 83 | |
| 84 | BENCHMARK_MAIN(); |
| 85 | |