added new svd tests
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@ -167,6 +167,18 @@ internal class TestDoubleLinearOpsTensorAlgebra {
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testSVDFor(fromArray(intArrayOf(2, 2), doubleArrayOf(-1.0, 0.0, 239.0, 238.0)))
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testSVDFor(fromArray(intArrayOf(2, 2), doubleArrayOf(-1.0, 0.0, 239.0, 238.0)))
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}
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}
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// @Test
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// fun testSVDError() = DoubleTensorAlgebra{
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// val buffer = doubleArrayOf(
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// 1.000000, 2.000000, 3.000000,
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// 2.000000, 3.000000, 4.000000,
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// 3.000000, 4.000000, 5.000000,
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// 4.000000, 5.000000, 6.000000,
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// 5.000000, 6.000000, 7.000000
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// )
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// testSVDFor(fromArray(intArrayOf(5, 3), buffer))
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// }
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@Test
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@Test
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fun testBatchedSVD() = DoubleTensorAlgebra {
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fun testBatchedSVD() = DoubleTensorAlgebra {
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val tensor = randomNormal(intArrayOf(2, 5, 3), 0)
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val tensor = randomNormal(intArrayOf(2, 5, 3), 0)
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@ -189,6 +201,28 @@ internal class TestDoubleLinearOpsTensorAlgebra {
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testSVDGolabKahanFor(fromArray(intArrayOf(5, 3), buffer))
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testSVDGolabKahanFor(fromArray(intArrayOf(5, 3), buffer))
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}
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}
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// @Test
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// fun testSVDGolabKahanError() = DoubleTensorAlgebra{
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// val buffer = doubleArrayOf(
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// 1.0, 2.0, 3.0, 2.0, 3.0,
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// 4.0, 3.0, 4.0, 5.0, 4.0,
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// 5.0, 6.0, 5.0, 6.0, 7.0
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// )
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// testSVDGolabKahanFor(fromArray(intArrayOf(3, 5), buffer))
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// }
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@Test
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fun testSVDGolabKahanBig() = DoubleTensorAlgebra{
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val tensor = DoubleTensorAlgebra.randomNormal(intArrayOf(100, 100, 100), 0)
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testSVDGolabKahanFor(tensor)
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}
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@Test
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fun testSVDBig() = DoubleTensorAlgebra{
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val tensor = DoubleTensorAlgebra.randomNormal(intArrayOf(100, 100, 100), 0)
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testSVDFor(tensor)
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}
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@Test
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@Test
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fun testBatchedSVDGolabKahan() = DoubleTensorAlgebra{
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fun testBatchedSVDGolabKahan() = DoubleTensorAlgebra{
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val tensor = randomNormal(intArrayOf(2, 5, 3), 0)
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val tensor = randomNormal(intArrayOf(2, 5, 3), 0)
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