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37 | 37 | import java.io.IOException; |
38 | 38 |
|
39 | 39 | public class TransposeTest extends AutomatedTestBase { |
40 | | - private final static String TEST_NAME1 = "Transpose"; |
41 | | - private final static String TEST_DIR = "functions/ooc/"; |
42 | | - private final static String TEST_CLASS_DIR = TEST_DIR + TransposeTest.class.getSimpleName() + "/"; |
43 | | - private final static double eps = 1e-10; |
44 | | - private static final String INPUT_NAME = "X"; |
45 | | - private static final String OUTPUT_NAME = "res"; |
46 | | - |
47 | | - private final static int rows = 1000; |
48 | | - private final static int cols_wide = 1000; |
49 | | - private final static int cols_skinny = 500; |
50 | | - |
51 | | - private final static double sparsity1 = 0.7; |
52 | | - private final static double sparsity2 = 0.1; |
53 | | - |
54 | | - @Override |
55 | | - public void setUp() { |
56 | | - TestUtils.clearAssertionInformation(); |
57 | | - TestConfiguration config = new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1); |
58 | | - addTestConfiguration(TEST_NAME1, config); |
59 | | - } |
60 | | - |
61 | | - @Test |
62 | | - public void testTranspose1() { |
63 | | - runTransposeTest(cols_wide, false); |
64 | | - } |
| 40 | + private final static String TEST_NAME1 = "Transpose"; |
| 41 | + private final static String TEST_DIR = "functions/ooc/"; |
| 42 | + private final static String TEST_CLASS_DIR = TEST_DIR + TransposeTest.class.getSimpleName() + "/"; |
| 43 | + private final static double eps = 1e-10; |
| 44 | + private static final String INPUT_NAME = "X"; |
| 45 | + private static final String OUTPUT_NAME = "res"; |
| 46 | + |
| 47 | + private final static int rows = 1000; |
| 48 | + private final static int cols_wide = 1000; |
| 49 | + private final static int cols_skinny = 500; |
| 50 | + |
| 51 | + private final static double sparsity1 = 0.7; |
| 52 | + private final static double sparsity2 = 0.1; |
| 53 | + |
| 54 | + @Override |
| 55 | + public void setUp() { |
| 56 | + TestUtils.clearAssertionInformation(); |
| 57 | + TestConfiguration config = new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1); |
| 58 | + addTestConfiguration(TEST_NAME1, config); |
| 59 | + } |
| 60 | + |
| 61 | + @Test |
| 62 | + public void testTranspose1() { |
| 63 | + runTransposeTest(cols_wide, false); |
| 64 | + } |
65 | 65 |
|
66 | 66 | // @Test |
67 | 67 | // public void testTranspose2() { |
68 | 68 | // runTransposeTest(cols_skinny, false); |
69 | 69 | // } |
70 | 70 |
|
71 | | - private void runTransposeTest(int cols, boolean sparse ) |
72 | | - { |
73 | | - Types.ExecMode platformOld = setExecMode(Types.ExecMode.SINGLE_NODE); |
74 | | - |
75 | | - try |
76 | | - { |
77 | | - getAndLoadTestConfiguration(TEST_NAME1); |
78 | | - String HOME = SCRIPT_DIR + TEST_DIR; |
79 | | - fullDMLScriptName = HOME + TEST_NAME1 + ".dml"; |
80 | | - programArgs = new String[]{"-explain", "-stats", "-ooc", |
81 | | - "-args", input(INPUT_NAME), output(OUTPUT_NAME)}; |
82 | | - |
83 | | - // 1. Generate the data as MatrixBlock object |
84 | | - double[][] A_data = getRandomMatrix(rows, cols, 0, 1, sparse?sparsity2:sparsity1, 10); |
85 | | - |
86 | | - // 2. Convert the double arrays to MatrixBlock object |
87 | | - MatrixBlock A_mb = DataConverter.convertToMatrixBlock(A_data); |
88 | | - |
89 | | - // 3. Create a binary matrix writer |
90 | | - MatrixWriter writer = MatrixWriterFactory.createMatrixWriter(Types.FileFormat.BINARY); |
91 | | - |
92 | | - // 4. Write matrix A to a binary SequenceFile |
93 | | - writer.writeMatrixToHDFS(A_mb, input(INPUT_NAME), rows, cols, 1000, A_mb.getNonZeros()); |
94 | | - HDFSTool.writeMetaDataFile(input(INPUT_NAME + ".mtd"), Types.ValueType.FP64, |
95 | | - new MatrixCharacteristics(rows, cols, 1000, A_mb.getNonZeros()), Types.FileFormat.BINARY); |
96 | | - |
97 | | - boolean exceptionExpected = false; |
98 | | - runTest(true, exceptionExpected, null, -1); |
99 | | - |
100 | | - double[][] C1 = readMatrix(output(OUTPUT_NAME), Types.FileFormat.BINARY, rows, cols, 1000, 1000); |
101 | | - double result = 0.0; |
102 | | - for(int i = 0; i < rows; i++) { // verify the results with Java |
103 | | - double expected = 0.0; |
104 | | - for(int j = 0; j < cols; j++) { |
105 | | - expected = A_mb.get(i, j); |
106 | | - result = C1[j][i]; |
107 | | - Assert.assertEquals(expected, result, eps); |
108 | | - } |
109 | | - |
110 | | - } |
111 | | - |
112 | | - String prefix = Instruction.OOC_INST_PREFIX; |
113 | | - Assert.assertTrue("OOC wasn't used for RBLK", |
114 | | - heavyHittersContainsString(prefix + Opcodes.RBLK)); |
115 | | - Assert.assertTrue("OOC wasn't used for TRANSPOSE", |
116 | | - heavyHittersContainsString(prefix + Opcodes.TRANSPOSE)); |
117 | | - } |
118 | | - catch (IOException e) { |
119 | | - throw new RuntimeException(e); |
120 | | - } |
121 | | - finally { |
122 | | - resetExecMode(platformOld); |
123 | | - } |
124 | | - } |
125 | | - |
126 | | - private static double[][] readMatrix(String fname, Types.FileFormat fmt, long rows, long cols, int brows, int bcols ) |
127 | | - throws IOException |
128 | | - { |
129 | | - MatrixBlock mb = DataConverter.readMatrixFromHDFS(fname, fmt, rows, cols, brows, bcols); |
130 | | - double[][] C = DataConverter.convertToDoubleMatrix(mb); |
131 | | - return C; |
132 | | - } |
| 71 | + private void runTransposeTest(int cols, boolean sparse ) |
| 72 | + { |
| 73 | + Types.ExecMode platformOld = setExecMode(Types.ExecMode.SINGLE_NODE); |
| 74 | + |
| 75 | + try |
| 76 | + { |
| 77 | + getAndLoadTestConfiguration(TEST_NAME1); |
| 78 | + String HOME = SCRIPT_DIR + TEST_DIR; |
| 79 | + fullDMLScriptName = HOME + TEST_NAME1 + ".dml"; |
| 80 | + programArgs = new String[]{"-explain", "-stats", "-ooc", |
| 81 | + "-args", input(INPUT_NAME), output(OUTPUT_NAME)}; |
| 82 | + |
| 83 | + // 1. Generate the data as MatrixBlock object |
| 84 | + double[][] A_data = getRandomMatrix(rows, cols, 0, 1, sparse?sparsity2:sparsity1, 10); |
| 85 | + |
| 86 | + // 2. Convert the double arrays to MatrixBlock object |
| 87 | + MatrixBlock A_mb = DataConverter.convertToMatrixBlock(A_data); |
| 88 | + |
| 89 | + // 3. Create a binary matrix writer |
| 90 | + MatrixWriter writer = MatrixWriterFactory.createMatrixWriter(Types.FileFormat.BINARY); |
| 91 | + |
| 92 | + // 4. Write matrix A to a binary SequenceFile |
| 93 | + writer.writeMatrixToHDFS(A_mb, input(INPUT_NAME), rows, cols, 1000, A_mb.getNonZeros()); |
| 94 | + HDFSTool.writeMetaDataFile(input(INPUT_NAME + ".mtd"), Types.ValueType.FP64, |
| 95 | + new MatrixCharacteristics(rows, cols, 1000, A_mb.getNonZeros()), Types.FileFormat.BINARY); |
| 96 | + |
| 97 | + boolean exceptionExpected = false; |
| 98 | + runTest(true, exceptionExpected, null, -1); |
| 99 | + |
| 100 | + double[][] C1 = readMatrix(output(OUTPUT_NAME), Types.FileFormat.BINARY, rows, cols, 1000, 1000); |
| 101 | + double result = 0.0; |
| 102 | + for(int i = 0; i < rows; i++) { // verify the results with Java |
| 103 | + double expected = 0.0; |
| 104 | + for(int j = 0; j < cols; j++) { |
| 105 | + expected = A_mb.get(i, j); |
| 106 | + result = C1[j][i]; |
| 107 | + Assert.assertEquals(expected, result, eps); |
| 108 | + } |
| 109 | + |
| 110 | + } |
| 111 | + |
| 112 | + String prefix = Instruction.OOC_INST_PREFIX; |
| 113 | + Assert.assertTrue("OOC wasn't used for RBLK", |
| 114 | + heavyHittersContainsString(prefix + Opcodes.RBLK)); |
| 115 | + Assert.assertTrue("OOC wasn't used for TRANSPOSE", |
| 116 | + heavyHittersContainsString(prefix + Opcodes.TRANSPOSE)); |
| 117 | + } |
| 118 | + catch (IOException e) { |
| 119 | + throw new RuntimeException(e); |
| 120 | + } |
| 121 | + finally { |
| 122 | + resetExecMode(platformOld); |
| 123 | + } |
| 124 | + } |
| 125 | + |
| 126 | + private static double[][] readMatrix(String fname, Types.FileFormat fmt, long rows, long cols, int brows, int bcols ) |
| 127 | + throws IOException |
| 128 | + { |
| 129 | + MatrixBlock mb = DataConverter.readMatrixFromHDFS(fname, fmt, rows, cols, brows, bcols); |
| 130 | + double[][] C = DataConverter.convertToDoubleMatrix(mb); |
| 131 | + return C; |
| 132 | + } |
133 | 133 | } |
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