public void ElementwiseMultiplicationDataOnDifferent()
{
int[] shape1 = { 2, 3 };
var tensor1 = new FloatTensor(shape1, true);
int[] shape2 = { 2, 3 };
var tensor2 = new FloatTensor(shape2, false);
Assert.That(() => tensor1.MulElementwise(tensor2),
Throws.TypeOf <InvalidOperationException>());
}
public void ElementwiseMultiplicationUnequalShapes()
{
float[] data1 = { 1, 2, 3, 4, 5, 6 };
int[] shape1 = { 2, 3 };
var tensor1 = new FloatTensor(data1, shape1);
float[] data2 = { 1, 2, 3, 4, 5, 6 };
int[] shape2 = { 3, 2 };
var tensor2 = new FloatTensor(data2, shape2);
Assert.That(() => tensor1.MulElementwise(tensor2),
Throws.TypeOf <InvalidOperationException>());
}
public void ElementwiseMultiplication()
{
float[] data1 = { float.MinValue, -10, -1.5f, 0, 1.5f, 10, 20, float.MaxValue };
int[] shape1 = { 2, 4 };
var tensor1 = new FloatTensor(data1, shape1);
float[] data2 = { float.MinValue, -10, -1.5f, 0, 1.5f, 10, 20, float.MaxValue };
int[] shape2 = { 2, 4 };
var tensor2 = new FloatTensor(data2, shape2);
var tensorMult = tensor1.MulElementwise(tensor2);
for (int i = 0; i < tensorMult.Size; i++)
{
float current = tensor1.Data [i] * tensor2.Data [i];
Assert.AreEqual(tensorMult.Data [i], current);
}
}
