public void Find_NotFound_ThrowException()
{
// arrange
var source = NdArray <int> .Arange(HostDevice.Instance, 1, 9, 1).Reshape(new[] { 2, 4 });
// action
var output = IndexFunction <int> .Find(10, source);
}
public void Replicate_NegativeRepeats_ThrowException()
{
// arrange
var input = NdArray <int> .Arange(HostDevice.Instance, 0, 2 * 3, 1).Reshape(new[] { 2, 3 });
// action
var result = NdArrayOperator <int> .Replicate(0, -10, input);
}
public void Trace_WithInvalidDimension_ThrowException()
{
// arrange
var device = HostDevice.Instance;
var input = NdArray <int> .Arange(device, 0, 27, 1);
// action
var trace = ReductionFunction <int> .Trace(input);
}
public void Diag_OneDimensionalArray_ThrowException()
{
// arrange
var device = HostDevice.Instance;
var input = NdArray <int> .Arange(device, 0, 9, 1);
// action
var diag = NdArrayOperator <int> .Diag(input);
}
public void DiagMatAxis_InvalidAxis()
{
// arrange
var axis1 = 1;
var axis2 = 3;
var input = NdArray <int> .Arange(HostDevice.Instance, 0, 10, 1).Reshape(new[] { 2, 5 });
// action
var diagMat = NdArrayOperator <int> .DiagMatAxis(axis1, axis2, input);
}
public void ArgMax()
{
// arrange
var source = NdArray <int> .Arange(HostDevice.Instance, 1, 9, 1).Reshape(new[] { 2, 4 });
// action
var output = IndexFunction <int> .ArgMax(source);
// assert
CollectionAssert.AreEqual(new[] { 1, 3 }, output);
}
public void TryFind_NotFound()
{
// arrange
var source = NdArray <int> .Arange(HostDevice.Instance, 1, 9, 1).Reshape(new[] { 2, 4 });
// action
var output = IndexFunction <int> .TryFind(10, source);
// assert
Assert.IsTrue(output.Length == 0);
}
public void AllElements()
{
// arrange
var source = NdArray <int> .Arange(HostDevice.Instance, 0, 9, 1).Reshape(new[] { 3, 3 });
// action
var output = IndexFunction <int> .AllElements(source);
// assert
CollectionAssert.AreEqual(Enumerable.Range(0, 9).ToArray(), output);
}
public void Replicate()
{
// arrange
var input = NdArray <int> .Arange(HostDevice.Instance, 0, 2 * 3, 1).Reshape(new[] { 2, 3 });
// action
var result = NdArrayOperator <int> .Replicate(0, 10, input);
// assert
CollectionAssert.AreEqual(new[] { 20, 3 }, result.Shape);
}
public void Diff()
{
// arrange
var input = NdArray <int> .Arange(HostDevice.Instance, 0, 9, 1).Reshape(new[] { 3, 3 });
// action
var result = NdArrayOperator <int> .Diff(input);
// assert
CollectionAssert.AreEqual(new[] { 3, 2 }, result.Shape);
}
public void DiagMat()
{
// arrange
var input = NdArray <int> .Arange(HostDevice.Instance, 0, 3, 1);
// action
var diagMat = NdArrayOperator <int> .DiagMat(input);
// assert
CollectionAssert.AreEqual(new[] { 3, 3 }, diagMat.Shape);
}
public void FindAxis()
{
// arrange
var source = NdArray <int> .Arange(HostDevice.Instance, 0, 8, 1).Reshape(new[] { 2, 4 });
// action
var output = IndexFunction <int> .FindAxis(2, 1, source);
// assert
Assert.AreEqual(2, output[0].Value);
Assert.AreEqual(SpecialIdx.NotFound, output[1].Value);
}
public void MeanAxis()
{
// arrange
var device = HostDevice.Instance;
var input = NdArray <double> .Arange(device, 1, 9, 1).Reshape(new[] { 2, 4 });
// action
var mean = ReductionFunction <double> .MeanAxis(1, input);
// assert
Assert.AreEqual(2.5, mean[0].Value);
}
public void Mean()
{
// arrange
var device = HostDevice.Instance;
var input = NdArray <double> .Arange(device, 1, 9, 1).Reshape(new[] { 2, 4 });
// action
var sum = ReductionFunction <double> .Mean(input);
// assert
Assert.AreEqual(4.5, sum);
}
public void ProductNdArray()
{
// arrange
var device = HostDevice.Instance;
var input = NdArray <double> .Arange(device, 1, 9, 1).Reshape(new[] { 2, 4 });
// action
var product = ReductionFunction <double> .ProductNdArray(input);
// assert
Assert.AreEqual(40320.0, product[0].Value);
}
public void MinNdArray()
{
// arrange
var device = HostDevice.Instance;
var input = NdArray <double> .Arange(device, 1, 9, 1).Reshape(new[] { 2, 4 });
// action
var min = ReductionFunction <double> .MinNdArray(input);
// assert
Assert.AreEqual(1.0, min[0].Value);
}
public void SumAxis()
{
// arrange
var device = HostDevice.Instance;
var input = NdArray <double> .Arange(device, 1, 9, 1).Reshape(new[] { 2, 4 });
// action
var sum = ReductionFunction <double> .SumAxis(1, input);
// assert
Assert.AreEqual(10.0, sum[0].Value);
}
public void Copy_ColumnMajor()
{
// arrange
var input = NdArray <int> .Arange(HostDevice.Instance, 0, 10, 1).Reshape(new[] { 2, 5 });
// action
var copy = NdArrayOperator <int> .Copy(input, Order.ColumnMajor);
// assert
CollectionAssert.AreEqual(new[] { 2, 5 }, copy.Shape);
CollectionAssert.AreEqual(new[] { 1, 2 }, copy.Layout.Stride);
}
public void TryReshape_WithoutCopyCase1_ReturnNewLayout()
{
// arrange
var array = NdArray <int> .Arange(HostDevice.Instance, 0, 10, 1);
// action
var newShape = new[] { 10, 1 };
var newLayout = Layout.TryReshape(newShape, array);
// assert
CollectionAssert.AreEqual(newShape, newLayout.Shape);
}
public void IsClose_SameDoubleVectors_ReturnTrues()
{
// arrange
var device = HostDevice.Instance;
var source = NdArray <double> .Arange(device, 0, 10, 1);
// action
var close = ComparisonFunction <double> .IsClose(source, source);
// assert
CollectionAssert.AreEqual(new[] { 10 }, close.Shape);
}
public void IsClose_DifferentDoubleVectorsWithBigTolerence_ReturnTrue()
{
// arrange
var device = HostDevice.Instance;
var source = NdArray <double> .Arange(device, 0, 10, 1);
// action
var close = ComparisonFunction <double> .IsClose(source, source + 1.0, 2.0);
// assert
CollectionAssert.AreEqual(new[] { 10 }, close.Shape);
}
public void UnaryMinus()
{
// arrange
var device = HostDevice.Instance;
var input = NdArray <int> .Arange(device, 0, 10, 1);
// action
var output = -input;
// assert
CollectionAssert.AreEqual(new[] { 10 }, output.Shape);
}
public void ArgMinAxis()
{
// arrange
var source = NdArray <int> .Arange(HostDevice.Instance, 1, 9, 1).Reshape(new[] { 2, 4 });
// action
var output = IndexFunction <int> .ArgMinAxis(1, source);
// assert
Assert.AreEqual(0, output[0].Value);
Assert.AreEqual(0, output[1].Value);
}
public void DiagMatAxis()
{
// arrange
var axis1 = 0;
var axis2 = 1;
var input = NdArray <int> .Arange(HostDevice.Instance, 0, 12, 1).Reshape(new[] { 4, 3 });
// action
var diagMat = NdArrayOperator <int> .DiagMatAxis(axis1, axis2, input);
// assert
CollectionAssert.AreEqual(new[] { 4, 4, 3 }, diagMat.Shape);
}
public void TryFind()
{
// arrange
var source = NdArray <int> .Arange(HostDevice.Instance, 1, 9, 1).Reshape(new[] { 2, 4 });
source[new[] { 1, 3 }] = 2;
// action
var output = IndexFunction <int> .TryFind(2, source);
// assert
CollectionAssert.AreEqual(new[] { 0, 1 }, output);
}
public void ReverseAxis()
{
// arrange
var input = NdArray <int> .Arange(HostDevice.Instance, 0, 4, 1);
// action
var output = ShapeFunction <int> .ReverseAxis(0, input);
var s = output.ToString();
// assert
Assert.AreEqual(4, output.Shape[0]);
Assert.AreEqual(-1, output.Layout.Stride[0]);
}
public void NotEqual()
{
// arrange
var device = HostDevice.Instance;
var sourceA = NdArray <int> .Arange(device, 0, 10, 1);
var sourceB = NdArray <int> .Arange(device, 0, 10, 1);
// action
var result = ComparisonFunction <int> .NotEqual(sourceA, sourceB);
// assert
CollectionAssert.AreEqual(new[] { 10 }, result.Shape);
}
public void Add_ScalarWithVector()
{
// arrange
var device = HostDevice.Instance;
var inputA = NdArray <int> .Arange(device, 0, 10, 1);
var inputB = NdArray <int> .Scalar(device, 3);
// action
var equal = inputB + inputA;
// assert
CollectionAssert.AreEqual(new[] { 10 }, equal.Shape);
}
public void Modulo_VectorWithScalar()
{
// arrange
var device = HostDevice.Instance;
var inputA = NdArray <int> .Arange(device, 1, 11, 1);
var inputB = NdArray <int> .Scalar(device, 3);
// action
var equal = inputA % inputB;
// assert
CollectionAssert.AreEqual(new[] { 10 }, equal.Shape);
}
public void Multiply_VectorWithVector()
{
// arrange
var device = HostDevice.Instance;
var inputA = NdArray <int> .Arange(device, 0, 10, 1);
var inputB = NdArray <int> .Arange(device, 0, 10, 1);
// action
var equal = inputA * inputB;
// assert
CollectionAssert.AreEqual(new[] { 10 }, equal.Shape);
}