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Add more test cases for tensor operations #475

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margarita0303 merged 4 commits from feature/tensors-performance into feature/tensors-performance 2022-04-06 14:32:56 +03:00
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kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleAnalyticTensorAlgebra.kt
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@ -12,110 +12,250 @@ import kotlin.test.assertTrue
internal class TestDoubleAnalyticTensorAlgebra {
val shape = intArrayOf(2, 1, 3, 2)
val buffer = doubleArrayOf(
27.1, 20.0, 19.84,
23.123, 3.0, 2.0,
val shapeWithNegative = intArrayOf(4)
val bufferWithNegative = doubleArrayOf(9.3348, -7.5889, -1.2005, 1.1584)
val tensorWithNegative = DoubleTensor(shapeWithNegative, bufferWithNegative)
3.23, 133.7, 25.3,
100.3, 11.0, 12.012
)
val tensor = DoubleTensor(shape, buffer)
val shape1 = intArrayOf(4)
val buffer1 = doubleArrayOf(1.3348, 1.5889, 1.2005, 1.1584)
val tensor1 = DoubleTensor(shape1, buffer1)
val shape2 = intArrayOf(2, 2)
val buffer2 = doubleArrayOf(1.0, 9.456, 3.0, 4.0)
val tensor2 = DoubleTensor(shape2, buffer2)
val shape3 = intArrayOf(2, 3, 2)
val buffer3 = doubleArrayOf(1.0, 9.456, 7.0, 2.123, 1.0, 9.456, 30.8888, 6.0, 1.0, 9.456, 3.0, 4.99)
val tensor3 = DoubleTensor(shape3, buffer3)
val shape4 = intArrayOf(2, 1, 3, 2)
val buffer4 = doubleArrayOf(27.1, 20.0, 19.84, 23.123, 3.0, 2.0, 3.23, 133.7, 25.3, 100.3, 11.0, 12.012)
val tensor4 = DoubleTensor(shape4, buffer4)
val bufferWithNegativeMod1 = bufferWithNegative.map { x -> x % 1 }.toDoubleArray()
val tensorWithNegativeMod1 = DoubleTensor(shapeWithNegative, bufferWithNegativeMod1)
val buffer1Mod1 = buffer1.map { x -> x % 1 }.toDoubleArray()
val tensor1Mod1 = DoubleTensor(shape1, buffer1Mod1)
val buffer2Mod1 = buffer2.map { x -> x % 1 }.toDoubleArray()
val tensor2Mod1 = DoubleTensor(shape2, buffer2Mod1)
val buffer3Mod1 = buffer3.map { x -> x % 1 }.toDoubleArray()
val tensor3Mod1 = DoubleTensor(shape3, buffer3Mod1)
val buffer4Mod1 = buffer4.map { x -> x % 1 }.toDoubleArray()
val tensor4Mod1 = DoubleTensor(shape4, buffer4Mod1)
fun DoubleArray.fmap(transform: (Double) -> Double): DoubleArray {
return this.map(transform).toDoubleArray()
}
fun expectedTensor(transform: (Double) -> Double): DoubleTensor {
return DoubleTensor(shape, buffer.fmap(transform))
fun expectedTensorWithNegative(transform: (Double) -> Double): DoubleTensor {
return DoubleTensor(shapeWithNegative, bufferWithNegative.fmap(transform))
}
fun expectedTensor1(transform: (Double) -> Double): DoubleTensor {
return DoubleTensor(shape1, buffer1.fmap(transform))
}
fun expectedTensor2(transform: (Double) -> Double): DoubleTensor {
return DoubleTensor(shape2, buffer2.fmap(transform))
}
fun expectedTensor3(transform: (Double) -> Double): DoubleTensor {
return DoubleTensor(shape3, buffer3.fmap(transform))
}
fun expectedTensor4(transform: (Double) -> Double): DoubleTensor {
return DoubleTensor(shape4, buffer4.fmap(transform))
}
fun expectedTensorWithNegativeMod1(transform: (Double) -> Double): DoubleTensor {
return DoubleTensor(shapeWithNegative, bufferWithNegativeMod1.fmap(transform))
}
fun expectedTensor1Mod1(transform: (Double) -> Double): DoubleTensor {
return DoubleTensor(shape1, buffer1Mod1.fmap(transform))
}
fun expectedTensor2Mod1(transform: (Double) -> Double): DoubleTensor {
return DoubleTensor(shape2, buffer2Mod1.fmap(transform))
}
fun expectedTensor3Mod1(transform: (Double) -> Double): DoubleTensor {
return DoubleTensor(shape3, buffer3Mod1.fmap(transform))
}
fun expectedTensor4Mod1(transform: (Double) -> Double): DoubleTensor {
return DoubleTensor(shape4, buffer4Mod1.fmap(transform))
}
@Test
fun testExp() = DoubleTensorAlgebra {
assertTrue { tensor.exp() eq expectedTensor(::exp) }
assertTrue { tensorWithNegative.exp() eq expectedTensorWithNegative(::exp) }
assertTrue { tensor1.exp() eq expectedTensor1(::exp) }
assertTrue { tensor2.exp() eq expectedTensor2(::exp) }
assertTrue { tensor3.exp() eq expectedTensor3(::exp) }
assertTrue { tensor4.exp() eq expectedTensor4(::exp) }
}
@Test
fun testLog() = DoubleTensorAlgebra {
assertTrue { tensor.ln() eq expectedTensor(::ln) }
assertTrue { tensor1.ln() eq expectedTensor1(::ln) }
assertTrue { tensor2.ln() eq expectedTensor2(::ln) }
assertTrue { tensor3.ln() eq expectedTensor3(::ln) }
assertTrue { tensor4.ln() eq expectedTensor4(::ln) }
}
@Test
fun testSqrt() = DoubleTensorAlgebra {
assertTrue { tensor.sqrt() eq expectedTensor(::sqrt) }
assertTrue { tensor1.sqrt() eq expectedTensor1(::sqrt) }
assertTrue { tensor2.sqrt() eq expectedTensor2(::sqrt) }
assertTrue { tensor3.sqrt() eq expectedTensor3(::sqrt) }
assertTrue { tensor4.sqrt() eq expectedTensor4(::sqrt) }
}
@Test
fun testCos() = DoubleTensorAlgebra {
assertTrue { tensor.cos() eq expectedTensor(::cos) }
assertTrue { tensorWithNegative.cos() eq expectedTensorWithNegative(::cos) }
assertTrue { tensor1.cos() eq expectedTensor1(::cos) }
assertTrue { tensor2.cos() eq expectedTensor2(::cos) }
assertTrue { tensor3.cos() eq expectedTensor3(::cos) }
assertTrue { tensor4.cos() eq expectedTensor4(::cos) }
}
@Test
fun testAcos() = DoubleTensorAlgebra {
assertTrue { tensorWithNegativeMod1.acos() eq expectedTensorWithNegativeMod1(::acos) }
assertTrue { tensor1Mod1.acos() eq expectedTensor1Mod1(::acos) }
assertTrue { tensor2Mod1.acos() eq expectedTensor2Mod1(::acos) }
assertTrue { tensor3Mod1.acos() eq expectedTensor3Mod1(::acos) }
assertTrue { tensor4Mod1.acos() eq expectedTensor4Mod1(::acos) }
}
@Test
fun testCosh() = DoubleTensorAlgebra {
assertTrue { tensor.cosh() eq expectedTensor(::cosh) }
assertTrue { tensorWithNegative.cosh() eq expectedTensorWithNegative(::cosh) }
assertTrue { tensor1.cosh() eq expectedTensor1(::cosh) }
assertTrue { tensor2.cosh() eq expectedTensor2(::cosh) }
assertTrue { tensor3.cosh() eq expectedTensor3(::cosh) }
assertTrue { tensor4.cosh() eq expectedTensor4(::cosh) }
}
@Test
fun testAcosh() = DoubleTensorAlgebra {
assertTrue { tensor.acosh() eq expectedTensor(::acosh) }
assertTrue { tensor1.acosh() eq expectedTensor1(::acosh) }
assertTrue { tensor2.acosh() eq expectedTensor2(::acosh) }
assertTrue { tensor3.acosh() eq expectedTensor3(::acosh) }
assertTrue { tensor4.acosh() eq expectedTensor4(::acosh) }
}
@Test
fun testSin() = DoubleTensorAlgebra {
assertTrue { tensor.sin() eq expectedTensor(::sin) }
assertTrue { tensorWithNegative.sin() eq expectedTensorWithNegative(::sin) }
assertTrue { tensor1.sin() eq expectedTensor1(::sin) }
assertTrue { tensor2.sin() eq expectedTensor2(::sin) }
assertTrue { tensor3.sin() eq expectedTensor3(::sin) }
assertTrue { tensor4.sin() eq expectedTensor4(::sin) }
}
@Test
fun testAsin() = DoubleTensorAlgebra {
assertTrue { tensorWithNegativeMod1.asin() eq expectedTensorWithNegativeMod1(::asin) }
assertTrue { tensor1Mod1.asin() eq expectedTensor1Mod1(::asin) }
assertTrue { tensor2Mod1.asin() eq expectedTensor2Mod1(::asin) }
assertTrue { tensor3Mod1.asin() eq expectedTensor3Mod1(::asin) }
assertTrue { tensor4Mod1.asin() eq expectedTensor4Mod1(::asin) }
}
@Test
fun testSinh() = DoubleTensorAlgebra {
assertTrue { tensor.sinh() eq expectedTensor(::sinh) }
assertTrue { tensorWithNegative.sinh() eq expectedTensorWithNegative(::sinh) }
assertTrue { tensor1.sinh() eq expectedTensor1(::sinh) }
assertTrue { tensor2.sinh() eq expectedTensor2(::sinh) }
assertTrue { tensor3.sinh() eq expectedTensor3(::sinh) }
assertTrue { tensor4.sinh() eq expectedTensor4(::sinh) }
}
@Test
fun testAsinh() = DoubleTensorAlgebra {
assertTrue { tensor.asinh() eq expectedTensor(::asinh) }
assertTrue { tensorWithNegative.asinh() eq expectedTensorWithNegative(::asinh) }
assertTrue { tensor1.asinh() eq expectedTensor1(::asinh) }
assertTrue { tensor2.asinh() eq expectedTensor2(::asinh) }
assertTrue { tensor3.asinh() eq expectedTensor3(::asinh) }
assertTrue { tensor4.asinh() eq expectedTensor4(::asinh) }
}
@Test
fun testTan() = DoubleTensorAlgebra {
assertTrue { tensor.tan() eq expectedTensor(::tan) }
assertTrue { tensorWithNegative.tan() eq expectedTensorWithNegative(::tan) }
assertTrue { tensor1.tan() eq expectedTensor1(::tan) }
assertTrue { tensor2.tan() eq expectedTensor2(::tan) }
assertTrue { tensor3.tan() eq expectedTensor3(::tan) }
assertTrue { tensor4.tan() eq expectedTensor4(::tan) }
}
@Test
fun testAtan() = DoubleTensorAlgebra {
assertTrue { tensor.atan() eq expectedTensor(::atan) }
assertTrue { tensorWithNegative.atan() eq expectedTensorWithNegative(::atan) }
assertTrue { tensor1.atan() eq expectedTensor1(::atan) }
assertTrue { tensor2.atan() eq expectedTensor2(::atan) }
assertTrue { tensor3.atan() eq expectedTensor3(::atan) }
assertTrue { tensor4.atan() eq expectedTensor4(::atan) }
}
@Test
fun testTanh() = DoubleTensorAlgebra {
assertTrue { tensor.tanh() eq expectedTensor(::tanh) }
assertTrue { tensorWithNegative.tanh() eq expectedTensorWithNegative(::tanh) }
assertTrue { tensor1.tanh() eq expectedTensor1(::tanh) }
assertTrue { tensor2.tanh() eq expectedTensor2(::tanh) }
assertTrue { tensor3.tanh() eq expectedTensor3(::tanh) }
assertTrue { tensor4.tanh() eq expectedTensor4(::tanh) }
}
@Test
fun testAtanh() = DoubleTensorAlgebra {
assertTrue { tensorWithNegativeMod1.atanh() eq expectedTensorWithNegativeMod1(::atanh) }
assertTrue { tensor1Mod1.atanh() eq expectedTensor1Mod1(::atanh) }
assertTrue { tensor2Mod1.atanh() eq expectedTensor2Mod1(::atanh) }
assertTrue { tensor3Mod1.atanh() eq expectedTensor3Mod1(::atanh) }
assertTrue { tensor4Mod1.atanh() eq expectedTensor4Mod1(::atanh) }
}
@Test
fun testCeil() = DoubleTensorAlgebra {
assertTrue { tensor.ceil() eq expectedTensor(::ceil) }
assertTrue { tensorWithNegative.ceil() eq expectedTensorWithNegative(::ceil) }
assertTrue { tensor1.ceil() eq expectedTensor1(::ceil) }
assertTrue { tensor2.ceil() eq expectedTensor2(::ceil) }
assertTrue { tensor3.ceil() eq expectedTensor3(::ceil) }
assertTrue { tensor4.ceil() eq expectedTensor4(::ceil) }
}
@Test
fun testFloor() = DoubleTensorAlgebra {
assertTrue { tensor.floor() eq expectedTensor(::floor) }
assertTrue { tensorWithNegative.floor() eq expectedTensorWithNegative(::floor) }
assertTrue { tensor1.floor() eq expectedTensor1(::floor) }
assertTrue { tensor2.floor() eq expectedTensor2(::floor) }
assertTrue { tensor3.floor() eq expectedTensor3(::floor) }
assertTrue { tensor4.floor() eq expectedTensor4(::floor) }
}
val shape2 = intArrayOf(2, 2)
val buffer2 = doubleArrayOf(
val shape5 = intArrayOf(2, 2)
val buffer5 = doubleArrayOf(
1.0, 2.0,
-3.0, 4.0
)
val tensor2 = DoubleTensor(shape2, buffer2)
val tensor5 = DoubleTensor(shape5, buffer5)
@Test
fun testMin() = DoubleTensorAlgebra {
assertTrue { tensor2.min() == -3.0 }
assertTrue { tensor2.min(0, true) eq fromArray(
assertTrue { tensor5.min() == -3.0 }
assertTrue { tensor5.min(0, true) eq fromArray(
intArrayOf(1, 2),
doubleArrayOf(-3.0, 2.0)
)}
assertTrue { tensor2.min(1, false) eq fromArray(
assertTrue { tensor5.min(1, false) eq fromArray(
intArrayOf(2),
doubleArrayOf(1.0, -3.0)
)}
@ -123,12 +263,12 @@ internal class TestDoubleAnalyticTensorAlgebra {
@Test
fun testMax() = DoubleTensorAlgebra {
assertTrue { tensor2.max() == 4.0 }
assertTrue { tensor2.max(0, true) eq fromArray(
assertTrue { tensor5.max() == 4.0 }
assertTrue { tensor5.max(0, true) eq fromArray(
intArrayOf(1, 2),
doubleArrayOf(1.0, 4.0)
)}
assertTrue { tensor2.max(1, false) eq fromArray(
assertTrue { tensor5.max(1, false) eq fromArray(
intArrayOf(2),
doubleArrayOf(2.0, 4.0)
)}
@ -136,12 +276,12 @@ internal class TestDoubleAnalyticTensorAlgebra {
@Test
fun testSum() = DoubleTensorAlgebra {
assertTrue { tensor2.sum() == 4.0 }
assertTrue { tensor2.sum(0, true) eq fromArray(
assertTrue { tensor5.sum() == 4.0 }
assertTrue { tensor5.sum(0, true) eq fromArray(
intArrayOf(1, 2),
doubleArrayOf(-2.0, 6.0)
)}
assertTrue { tensor2.sum(1, false) eq fromArray(
assertTrue { tensor5.sum(1, false) eq fromArray(
intArrayOf(2),
doubleArrayOf(3.0, 1.0)
)}
@ -149,15 +289,14 @@ internal class TestDoubleAnalyticTensorAlgebra {
@Test
fun testMean() = DoubleTensorAlgebra {
assertTrue { tensor2.mean() == 1.0 }
assertTrue { tensor2.mean(0, true) eq fromArray(
assertTrue { tensor5.mean() == 1.0 }
assertTrue { tensor5.mean(0, true) eq fromArray(
intArrayOf(1, 2),
doubleArrayOf(-1.0, 3.0)
)}
assertTrue { tensor2.mean(1, false) eq fromArray(
assertTrue { tensor5.mean(1, false) eq fromArray(
intArrayOf(2),
doubleArrayOf(1.5, 0.5)
)}
}
}