| /* |
| * 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.sysds.test.functions.dnn; |
| |
| import java.util.HashMap; |
| |
| import org.junit.Test; |
| import org.apache.sysds.api.DMLScript; |
| import org.apache.sysds.common.Types.ExecMode; |
| import org.apache.sysds.lops.LopProperties.ExecType; |
| import org.apache.sysds.runtime.matrix.data.MatrixValue.CellIndex; |
| import org.apache.sysds.runtime.util.DnnUtils; |
| import org.apache.sysds.test.AutomatedTestBase; |
| import org.apache.sysds.test.TestConfiguration; |
| import org.apache.sysds.test.TestUtils; |
| |
| public class Conv2DBackwardDataTest extends AutomatedTestBase |
| { |
| private final static String TEST_NAME = "Conv2DBackwardDataTest"; |
| private final static String TEST_DIR = "functions/tensor/"; |
| private final static String TEST_CLASS_DIR = TEST_DIR + Conv2DBackwardDataTest.class.getSimpleName() + "/"; |
| private final static double epsilon=0.0000000001; |
| |
| @Override |
| public void setUp() { |
| addTestConfiguration(TEST_NAME, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME, |
| new String[] {"B"})); |
| } |
| |
| @Test |
| public void testConv2DBwdDataDense1() |
| { |
| int numImg = 2; int imgSize = 10; int numChannels = 3; int numFilters = 2; int filterSize = 2; int stride = 1; int pad = 0; |
| runConv2DTest(ExecType.CP, imgSize, numImg, numChannels, numFilters, filterSize, stride, pad, false, false); |
| } |
| |
| @Test |
| public void testConv2DDense2() |
| { |
| int numImg = 5; int imgSize = 3; int numChannels = 2; int numFilters = 3; int filterSize = 3; int stride = 1; int pad = 1; |
| runConv2DTest(ExecType.CP, imgSize, numImg, numChannels, numFilters, filterSize, stride, pad, false, false); |
| } |
| |
| @Test |
| public void testConv2DDense3() |
| { |
| int numImg = 5; int imgSize = 3; int numChannels = 2; int numFilters = 3; int filterSize = 3; int stride = 2; int pad = 1; |
| runConv2DTest(ExecType.CP, imgSize, numImg, numChannels, numFilters, filterSize, stride, pad, false, false); |
| } |
| |
| @Test |
| public void testConv2DBwdDataDense4() |
| { |
| int numImg = 5; int imgSize = 10; int numChannels = 2; int numFilters = 3; int filterSize = 2; int stride = 2; int pad = 1; |
| runConv2DTest(ExecType.CP, imgSize, numImg, numChannels, numFilters, filterSize, stride, pad, false, false); |
| } |
| |
| @Test |
| public void testConv2DBwdDataSparse1() |
| { |
| int numImg = 2; int imgSize = 10; int numChannels = 3; int numFilters = 2; int filterSize = 2; int stride = 1; int pad = 0; |
| runConv2DTest(ExecType.CP, imgSize, numImg, numChannels, numFilters, filterSize, stride, pad, true, false); |
| } |
| |
| @Test |
| public void testConv2DBwdDataSparse2() |
| { |
| int numImg = 5; int imgSize = 3; int numChannels = 2; int numFilters = 3; int filterSize = 3; int stride = 1; int pad = 1; |
| runConv2DTest(ExecType.CP, imgSize, numImg, numChannels, numFilters, filterSize, stride, pad, false, false); |
| } |
| |
| @Test |
| public void testConv2DBwdDataSparse3() |
| { |
| int numImg = 5; int imgSize = 3; int numChannels = 2; int numFilters = 3; int filterSize = 3; int stride = 2; int pad = 1; |
| runConv2DTest(ExecType.CP, imgSize, numImg, numChannels, numFilters, filterSize, stride, pad, false, true); |
| } |
| |
| @Test |
| public void testConv2DBwdDataSparse4() |
| { |
| int numImg = 5; int imgSize = 10; int numChannels = 2; int numFilters = 3; int filterSize = 2; int stride = 2; int pad = 1; |
| runConv2DTest(ExecType.CP, imgSize, numImg, numChannels, numFilters, filterSize, stride, pad, true, true); |
| } |
| |
| @Test |
| public void testConv2DBwdDataSparse5() |
| { |
| int numImg = 5; int imgSize = 3; int numChannels = 2; int numFilters = 3; int filterSize = 3; int stride = 1; int pad = 1; |
| runConv2DTest(ExecType.CP, imgSize, numImg, numChannels, numFilters, filterSize, stride, pad, true, false); |
| } |
| |
| @Test |
| public void testConv2DBwdDataSparse6() |
| { |
| int numImg = 5; int imgSize = 3; int numChannels = 2; int numFilters = 3; int filterSize = 3; int stride = 2; int pad = 1; |
| runConv2DTest(ExecType.CP, imgSize, numImg, numChannels, numFilters, filterSize, stride, pad, true, true); |
| } |
| |
| @Test |
| public void testConv2DBwdDataSparse7() |
| { |
| int numImg = 5; int imgSize = 10; int numChannels = 2; int numFilters = 3; int filterSize = 2; int stride = 2; int pad = 1; |
| runConv2DTest(ExecType.CP, imgSize, numImg, numChannels, numFilters, filterSize, stride, pad, true, true); |
| } |
| |
| |
| |
| |
| /** |
| * |
| * @param et |
| * @param sparse |
| */ |
| public void runConv2DTest( ExecType et, int imgSize, int numImg, int numChannels, int numFilters, |
| int filterSize, int stride, int pad, boolean sparse1, boolean sparse2) |
| { |
| ExecMode oldRTP = rtplatform; |
| |
| boolean sparkConfigOld = DMLScript.USE_LOCAL_SPARK_CONFIG; |
| |
| try |
| { |
| TestConfiguration config = getTestConfiguration(TEST_NAME); |
| if(et == ExecType.SPARK) { |
| rtplatform = ExecMode.SPARK; |
| } |
| else { |
| rtplatform = ExecMode.SINGLE_NODE; |
| } |
| if( rtplatform == ExecMode.SPARK ) |
| DMLScript.USE_LOCAL_SPARK_CONFIG = true; |
| |
| loadTestConfiguration(config); |
| |
| /* This is for running the junit test the new way, i.e., construct the arguments directly */ |
| String RI_HOME = SCRIPT_DIR + TEST_DIR; |
| fullDMLScriptName = RI_HOME + TEST_NAME + ".dml"; |
| |
| String sparseVal1 = (""+sparse1).toUpperCase(); |
| String sparseVal2 = (""+sparse2).toUpperCase(); |
| |
| long P = DnnUtils.getP(imgSize, filterSize, stride, pad); |
| programArgs = new String[]{"-args", "" + imgSize, "" + numImg, |
| "" + numChannels, "" + numFilters, |
| "" + filterSize, "" + stride, "" + pad, |
| "" + P, "" + P, |
| output("B"), sparseVal1, sparseVal2}; |
| |
| boolean exceptionExpected = false; |
| int expectedNumberOfJobs = -1; |
| runTest(true, exceptionExpected, null, expectedNumberOfJobs); |
| |
| fullRScriptName = RI_HOME + TEST_NAME + ".R"; |
| rCmd = "Rscript" + " " + fullRScriptName + " " + imgSize + " " + numImg + |
| " " + numChannels + " " + numFilters + |
| " " + filterSize + " " + stride + " " + pad + " " + P + " " + P + " " + expectedDir() + |
| " " + sparseVal1 + " " + sparseVal2; |
| // Run comparison R script |
| runRScript(true); |
| HashMap<CellIndex, Double> bHM = readRMatrixFromFS("B"); |
| |
| HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromHDFS("B"); |
| TestUtils.compareMatrices(dmlfile, bHM, epsilon, "B-DML", "NumPy"); |
| |
| } |
| finally |
| { |
| rtplatform = oldRTP; |
| DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld; |
| } |
| |
| } |
| |
| } |