public static Tensor <T> Empty <T>(params int[] shape)
where T : struct
{
var type = typeof(T).Name;
switch (type)
{
case TensorTypes.Float:
var fData = new TensorData <float>(shape);
var fTensor = new FloatTensor(fData);
return((Tensor <T>)(object) fTensor);
case TensorTypes.Double:
var dData = new TensorData <double>(shape);
var dTensor = new DoubleTensor(dData);
return((Tensor <T>)(object) dTensor);
case TensorTypes.Int:
var iData = new TensorData <int>(shape);
var iTensor = new IntTensor(iData);
return((Tensor <T>)(object) iTensor);
case TensorTypes.Long:
var lData = new TensorData <long>(shape);
var lTensor = new LongTensor(lData);
return((Tensor <T>)(object) lTensor);
default:
break;
}
throw new NotImplementedException($"type {type} not implemented!");
}
public static Tensor <T> Values <T>(Array array)
where T : struct
{
var shape = new TensorShape(TensorShape.GetShapeFromArray(array));
var type = typeof(T).Name;
switch (type)
{
case TensorTypes.Float:
var fData = new TensorData <float>(shape);
var fSpan = fData.RawValues;
for (int i = 0; i < fSpan.Length; i++)
{
fSpan[i] = (float)array.GetValue(shape.OffsetToIndex(i));
}
var fTensor = new FloatTensor(fData);
return((Tensor <T>)(object) fTensor);
case TensorTypes.Double:
var dData = new TensorData <double>(shape);
var dSpan = dData.RawValues;
for (int i = 0; i < dSpan.Length; i++)
{
dSpan[i] = (double)array.GetValue(shape.OffsetToIndex(i));
}
var dTensor = new DoubleTensor(dData);
return((Tensor <T>)(object) dTensor);
case TensorTypes.Int:
var iData = new TensorData <int>(shape);
var iSpan = iData.RawValues;
for (int i = 0; i < iSpan.Length; i++)
{
var index = shape.OffsetToIndex(i);
iSpan[i] = (int)array.GetValue(index);
}
var iTensor = new IntTensor(iData);
return((Tensor <T>)(object) iTensor);
case TensorTypes.Long:
var lData = new TensorData <long>(shape);
var lSpan = lData.RawValues;
for (int i = 0; i < lSpan.Length; i++)
{
lSpan[i] = (long)array.GetValue(shape.OffsetToIndex(i));
}
var lTensor = new LongTensor(lData);
return((Tensor <T>)(object) lTensor);
default:
break;
}
throw new NotImplementedException($"type {type} not implemented!");
}
public static Tensor <int> Fill(int fillValue, params int[] shape)
{
var data = new TensorData <int>(fillValue, shape);
return(Create(data));
}
public static Tensor <int> Create(int[] values)
{
var data = new TensorData <int>(values);
return(Create(data));
}
public static Tensor <float> Create(TensorData <float> data)
{
return(new FloatTensor(data));
}
public static Tensor <float> Empty(params int[] shape)
{
var data = new TensorData <float>(shape);
return(Create(data));
}
public Tensor(TensorData <T> data)
{
Values = data;
DataType = typeof(T);
}
public static Tensor <double> Fill(double fillValue, params int[] shape)
{
var data = new TensorData <double>(fillValue, shape);
return(Create(data));
}
public static Tensor <double> Create(double[] values)
{
var data = new TensorData <double>(values);
return(Create(data));
}
public IntTensor(TensorData <int> data) : base(data)
{
}
public static Tensor <long> Create(TensorData <long> data)
{
return(new LongTensor(data));
}
public static Tensor <long> Create(long[] values, params int[] shape)
{
var data = new TensorData <long>(values, shape);
return(Create(data));
}
public static Tensor <long> Create(long[] values)
{
var data = new TensorData <long>(values);
return(Create(data));
}
public static Tensor <int> Create(TensorData <int> data)
{
return(new IntTensor(data));
}
public DoubleTensor(TensorData <double> data) : base(data)
{
}
public LongTensor(TensorData <long> data) : base(data)
{
}
public static Tensor <float> Create(float[] values)
{
var data = new TensorData <float>(values);
return(Create(data));
}
public static Tensor <double> Create(double[] values, params int[] shape)
{
var data = new TensorData <double>(values, shape);
return(Create(data));
}
public static Tensor <float> Create(float[] values, params int[] shape)
{
var data = new TensorData <float>(values, shape);
return(Create(data));
}
public static Tensor <double> Create(TensorData <double> data)
{
return(new DoubleTensor(data));
}
public FloatTensor(TensorData <float> data) : base(data)
{
}