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/*
* 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 = readRMatrixFromExpectedDir("B");
HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromOutputDir("B");
TestUtils.compareMatrices(dmlfile, bHM, epsilon, "B-DML", "NumPy");
}
finally
{
rtplatform = oldRTP;
DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld;
}
}
}