Package org.apache.mahout.benchmark.BenchmarkRunner

Examples of org.apache.mahout.benchmark.BenchmarkRunner.BenchmarkFn

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      }
    }
  }

  public void createBenchmark() {
    printStats(runner.benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        vectors[0][vIndex(i)] = new DenseVector(randomVectors.get(vIndex(i)));
        return depends(vectors[0][vIndex(i)]);
      }
    }), CREATE_COPY, DENSE_VECTOR);

    printStats(runner.benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        vectors[1][vIndex(i)] = new RandomAccessSparseVector(randomVectors.get(vIndex(i)));
        return depends(vectors[1][vIndex(i)]);
      }
    }), CREATE_COPY, RAND_SPARSE_VECTOR);

    printStats(runner.benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        vectors[2][vIndex(i)] = new SequentialAccessSparseVector(randomVectors.get(vIndex(i)));
        return depends(vectors[2][vIndex(i)]);
      }
    }), CREATE_COPY, SEQ_SPARSE_VECTOR);

    if (numClusters > 0) {
      printStats(runner.benchmark(new BenchmarkFn() {
        @Override
        public Boolean apply(Integer i) {
          clusters[cIndex(i)] = new RandomAccessSparseVector(randomVectors.get(vIndex(i)));
          return depends(clusters[cIndex(i)]);
        }
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  public CloneBenchmark(VectorBenchmarks mark) {
    this.mark = mark;
  }

  public void benchmark() {
    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        mark.vectors[0][mark.vIndex(i)] = mark.vectors[0][mark.vIndex(i)].clone();

        return depends(mark.vectors[0][mark.vIndex(i)]);
      }
    }), CLONE, DENSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        mark.vectors[1][mark.vIndex(i)] = mark.vectors[1][mark.vIndex(i)].clone();

        return depends(mark.vectors[1][mark.vIndex(i)]);
      }
    }), CLONE, RAND_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        mark.vectors[2][mark.vIndex(i)] = mark.vectors[2][mark.vIndex(i)].clone();

        return depends(mark.vectors[2][mark.vIndex(i)]);
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  public MinusBenchmark(VectorBenchmarks mark) {
    this.mark = mark;
  }

  public void benchmark() {
    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[0][mark.vIndex(i)].minus(mark.vectors[0][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), MINUS, DENSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[1][mark.vIndex(i)].minus(mark.vectors[1][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), MINUS, RAND_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[2][mark.vIndex(i)].minus(mark.vectors[2][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), MINUS, SEQ_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[0][mark.vIndex(i)].minus(mark.vectors[1][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), MINUS, DENSE_FN_RAND);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[0][mark.vIndex(i)].minus(mark.vectors[2][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), MINUS, DENSE_FN_SEQ);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[1][mark.vIndex(i)].minus(mark.vectors[0][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), MINUS, RAND_FN_DENSE);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[1][mark.vIndex(i)].minus(mark.vectors[2][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), MINUS, RAND_FN_SEQ);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[2][mark.vIndex(i)].minus(mark.vectors[0][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), MINUS, SEQ_FN_DENSE);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[2][mark.vIndex(i)].minus(mark.vectors[1][mark.vIndex(randIndex())]);
        return depends(v);
      }
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  public TimesBenchmark(VectorBenchmarks mark) {
    this.mark = mark;
  }

  public void benchmark() {
    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[0][mark.vIndex(i)].times(mark.vectors[0][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), TIMES, DENSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[1][mark.vIndex(i)].times(mark.vectors[1][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), TIMES, RAND_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[2][mark.vIndex(i)].times(mark.vectors[2][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), TIMES, SEQ_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[0][mark.vIndex(i)].times(mark.vectors[1][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), TIMES, DENSE_FN_RAND);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[0][mark.vIndex(i)].times(mark.vectors[2][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), TIMES, DENSE_FN_SEQ);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[1][mark.vIndex(i)].times(mark.vectors[0][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), TIMES, RAND_FN_DENSE);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[1][mark.vIndex(i)].times(mark.vectors[2][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), TIMES, RAND_FN_SEQ);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[2][mark.vIndex(i)].times(mark.vectors[0][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), TIMES, SEQ_FN_DENSE);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[2][mark.vIndex(i)].times(mark.vectors[1][mark.vIndex(randIndex())]);
        return depends(v);
      }
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    benchmarkNorm2();
    benchmarkLogNormalize();
  }

  private void benchmarkLogNormalize() {
    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        return depends(mark.vectors[0][mark.vIndex(i)].logNormalize());
      }
    }), LOG_NORMALIZE, DENSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        return depends(mark.vectors[1][mark.vIndex(i)].logNormalize());
      }
    }), LOG_NORMALIZE, RAND_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        return depends(mark.vectors[2][mark.vIndex(i)].logNormalize());
      }
    }), LOG_NORMALIZE, SEQ_SPARSE_VECTOR);
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  public PlusBenchmark(VectorBenchmarks mark) {
    this.mark = mark;
  }

  public void benchmark() {
    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[0][mark.vIndex(i)].plus(mark.vectors[0][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), PLUS, DENSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[1][mark.vIndex(i)].plus(mark.vectors[1][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), PLUS, RAND_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[2][mark.vIndex(i)].plus(mark.vectors[2][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), PLUS, SEQ_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[0][mark.vIndex(i)].plus(mark.vectors[1][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), PLUS, DENSE_FN_RAND);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[0][mark.vIndex(i)].plus(mark.vectors[2][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), PLUS, DENSE_FN_SEQ);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[1][mark.vIndex(i)].plus(mark.vectors[0][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), PLUS, RAND_FN_DENSE);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[1][mark.vIndex(i)].plus(mark.vectors[2][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), PLUS, RAND_FN_SEQ);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[2][mark.vIndex(i)].plus(mark.vectors[0][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), PLUS, SEQ_FN_DENSE);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[2][mark.vIndex(i)].plus(mark.vectors[1][mark.vIndex(randIndex())]);
        return depends(v);
      }
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  public CloneBenchmark(VectorBenchmarks mark) {
    this.mark = mark;
  }

  public void benchmark() {
    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        mark.vectors[0][mark.vIndex(i)] = mark.vectors[0][mark.vIndex(i)].clone();

        return depends(mark.vectors[0][mark.vIndex(i)]);
      }
    }), CLONE, DENSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        mark.vectors[1][mark.vIndex(i)] = mark.vectors[1][mark.vIndex(i)].clone();

        return depends(mark.vectors[1][mark.vIndex(i)]);
      }
    }), CLONE, RAND_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        mark.vectors[2][mark.vIndex(i)] = mark.vectors[2][mark.vIndex(i)].clone();

        return depends(mark.vectors[2][mark.vIndex(i)]);
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  public MinusBenchmark(VectorBenchmarks mark) {
    this.mark = mark;
  }

  public void benchmark() {
    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[0][mark.vIndex(i)].minus(mark.vectors[0][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), MINUS, DENSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[1][mark.vIndex(i)].minus(mark.vectors[1][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), MINUS, RAND_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[2][mark.vIndex(i)].minus(mark.vectors[2][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), MINUS, SEQ_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[0][mark.vIndex(i)].minus(mark.vectors[1][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), MINUS, DENSE_FN_RAND);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[0][mark.vIndex(i)].minus(mark.vectors[2][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), MINUS, DENSE_FN_SEQ);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[1][mark.vIndex(i)].minus(mark.vectors[0][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), MINUS, RAND_FN_DENSE);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[1][mark.vIndex(i)].minus(mark.vectors[2][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), MINUS, RAND_FN_SEQ);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[2][mark.vIndex(i)].minus(mark.vectors[0][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), MINUS, SEQ_FN_DENSE);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[2][mark.vIndex(i)].minus(mark.vectors[1][mark.vIndex(randIndex())]);
        return depends(v);
      }
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  public TimesBenchmark(VectorBenchmarks mark) {
    this.mark = mark;
  }

  public void benchmark() {
    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[0][mark.vIndex(i)].times(mark.vectors[0][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), TIMES, DENSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[1][mark.vIndex(i)].times(mark.vectors[1][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), TIMES, RAND_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[2][mark.vIndex(i)].times(mark.vectors[2][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), TIMES, SEQ_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[0][mark.vIndex(i)].times(mark.vectors[1][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), TIMES, DENSE_FN_RAND);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[0][mark.vIndex(i)].times(mark.vectors[2][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), TIMES, DENSE_FN_SEQ);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[1][mark.vIndex(i)].times(mark.vectors[0][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), TIMES, RAND_FN_DENSE);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[1][mark.vIndex(i)].times(mark.vectors[2][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), TIMES, RAND_FN_SEQ);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[2][mark.vIndex(i)].times(mark.vectors[0][mark.vIndex(randIndex())]);
        return depends(v);
      }
    }), TIMES, SEQ_FN_DENSE);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        Vector v = mark.vectors[2][mark.vIndex(i)].times(mark.vectors[1][mark.vIndex(randIndex())]);
        return depends(v);
      }
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    benchmarkNorm2();
    benchmarkLogNormalize();
  }

  private void benchmarkLogNormalize() {
    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        return depends(mark.vectors[0][mark.vIndex(i)].logNormalize());
      }
    }), LOG_NORMALIZE, DENSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        return depends(mark.vectors[1][mark.vIndex(i)].logNormalize());
      }
    }), LOG_NORMALIZE, RAND_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmark(new BenchmarkFn() {
      @Override
      public Boolean apply(Integer i) {
        return depends(mark.vectors[2][mark.vIndex(i)].logNormalize());
      }
    }), LOG_NORMALIZE, SEQ_SPARSE_VECTOR);
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  • org.apache.mahout.benchmark.DotBenchmark
  • org.apache.mahout.benchmark.MinusBenchmark
  • org.apache.mahout.benchmark.PlusBenchmark
  • org.apache.mahout.benchmark.TimesBenchmark
  • org.apache.mahout.benchmark.VectorBenchmarks
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