/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.apache.mahout.benchmark; import static org.apache.mahout.benchmark.VectorBenchmarks.DENSE_FN_RAND; import static org.apache.mahout.benchmark.VectorBenchmarks.DENSE_FN_SEQ; import static org.apache.mahout.benchmark.VectorBenchmarks.DENSE_VECTOR; import static org.apache.mahout.benchmark.VectorBenchmarks.RAND_FN_DENSE; import static org.apache.mahout.benchmark.VectorBenchmarks.RAND_FN_SEQ; import static org.apache.mahout.benchmark.VectorBenchmarks.RAND_SPARSE_VECTOR; import static org.apache.mahout.benchmark.VectorBenchmarks.SEQ_FN_DENSE; import static org.apache.mahout.benchmark.VectorBenchmarks.SEQ_FN_RAND; import static org.apache.mahout.benchmark.VectorBenchmarks.SEQ_SPARSE_VECTOR; import org.apache.mahout.benchmark.BenchmarkRunner.BenchmarkFn; import org.apache.mahout.math.Vector; public class TimesBenchmark { private static final String TIMES = "Times"; private final VectorBenchmarks mark; 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); } }), TIMES, SEQ_FN_RAND); } }