public void TestTensorConst()
{
var x = Op.Const(2.0f, 2, 2);
var f = Op.Function(output: x);
AssertArray.AreEqual(f(), NN.Const(2.0f, 2, 2));
AssertArray.AreNotEqual(f(), NN.Const(3.0f, 2, 2));
}
public static Tensor <Type> Create(Tensor <Type> x, Dim[] shape)
{
int resizePos = -1;
Dim size = 1;
for (int i = 0; i < shape.Length; ++i)
{
if (shape[i].Check((Int c) => c.Value == -1))
{
if (resizePos >= 0)
{
throw new ArgumentException("Can't reshape to: [" + string.Join(", ", shape.Select(a => a.ToString())) + "]");
}
resizePos = i;
}
else
{
size *= shape[i];
}
}
if (resizePos >= 0)
{
var originalSize = x.Shape.Aggregate((Dim)1, (s, d) => s * d);
shape[resizePos] = originalSize / size;
}
if (x.NDim == shape.Length)
{
bool sameShape = true;
for (int i = 0; i < shape.Length; ++i)
{
if (!ShapeExtension.WillEqualTo(x.Shape[i], shape[i]))
{
sameShape = false;
}
}
if (sameShape)
{
return(x);
}
}
switch (x)
{
case Fill <Type> fill:
return(Op.Const(fill.x, shape));
default:
return(new Reshaping <Type>(x, shape));
}
}
public static Tensor <Type> Create(Dim[] shape, Scalar <int>[] indexes, Scalar <Type> content = null)
{
content = content ?? Numeric <Type> .One;
if (shape.Length == 1 && shape[0].IsOne)
{
return(Op.Const(content, shape));
}
if (shape.Length != indexes.Length)
{
throw new ArgumentException();
}
return(new OneHotPoint <Type>(shape, indexes, content));
}
public static Tensor <float> Create(Tensor <float> x, int axis = -1)
{
switch (x)
{
case BroadCast <float> xBroadcast:
if (xBroadcast.broadcast.Contains(axis))
{
return(Op.Const(1f / xBroadcast.Shape[axis].As <float>(), xBroadcast.Shape));
}
else
{
return(Op.Softmax(xBroadcast.x, axis).BroadcastTo(xBroadcast.Shape));
}
default:
return(new Softmax(x, axis));
}
}
private static Perm ToAxes(int[] perm) => new Perm(perm.Select(a => Op.Const(a)).ToArray());
private static Axes ToAxes(int[] axes) => new Axes(axes.Select(a => Op.Const(a)).ToArray());