public Tensor CreateVariable(float[] data, long[] shape, string name = "")
{
shape = BackendUtil.Row2ColMajor(shape);
var arr = new CNTK.NDArrayView(BackendUtil.CastShapeInt(shape), data, DeviceManager.Current);
var v = new CNTK.Variable(BackendUtil.CastShapeInt(shape), VariableKind.Parameter, CNTK.DataType.Float, arr, false, new AxisVector(), false, name, name);
return(Out(v));
}
private Tensor CreateVariable(int[] data, long[] shape, string name = "")
{
shape = BackendUtil.Row2ColMajor(shape);
var arr = new CNTK.NDArrayView(BackendUtil.CastShapeInt(shape), Array.ConvertAll(data, x => (float)x), DeviceManager.Current);
var v = new CNTK.Variable(BackendUtil.CastShapeInt(shape), VariableKind.Input, CNTK.DataType.Float, arr, false, new AxisVector(), false, name, name);
return(Out(v));
}
public Tensor Reshape(Tensor x, params long[] shape)
{
shape = BackendUtil.Row2ColMajor(shape);
long prod = -1 * shape.Aggregate(1L, (a, b) => a * b);
for (int i = 0; i < shape.Length; i++)
{
if (shape[i] == -1)
{
shape[i] = x.ElementCount / prod;
break;
}
}
return(Out(Data.ModDims(In(x), shape)));
}
public Tensor CreateVariable(float[] data, long[] shape, string name = "")
{
shape = BackendUtil.Row2ColMajor(shape);
var result = Out(Data.CreateArray(data));
result.Name = name != "" ? UUID(name) : UUID("V");
if (shape.Length == 2)
{
result = (NDArrayTensor)result.Reshape(shape);
}
if (shape.Length == 3)
{
result = (NDArrayTensor)result.Reshape(shape);
}
if (shape.Length == 4)
{
result = (NDArrayTensor)result.Reshape(shape);
}
return(result);
}
public Tensor Constant(float value, long[] shape)
{
shape = BackendUtil.Row2ColMajor(shape);
return(Out(Data.Constant <float>(value, BackendUtil.CastShapeInt(shape))));
}
public Tensor Transpose(Tensor x, params int[] dims)
{
var shape = BackendUtil.Row2ColMajor(BackendUtil.Int2Long(dims));
return(Out(Data.Reorder(In(x), BackendUtil.CastShapeUInt(shape))));
}
public Tensor Constant(float value, long[] shape)
{
shape = BackendUtil.Row2ColMajor(shape);
return(Out(In(value, shape)));
}
