public Engine.DataType GetDataType(SiaTensor x)
{
switch (In(x).dtype)
{
case TF_DataType.DtInvalid:
break;
case TF_DataType.TF_FLOAT:
return(Engine.DataType.Float32);
case TF_DataType.TF_DOUBLE:
return(Engine.DataType.Float64);
case TF_DataType.TF_INT32:
return(Engine.DataType.Int32);
case TF_DataType.TF_UINT8:
return(Engine.DataType.Int8);
case TF_DataType.TF_INT8:
return(Engine.DataType.Int8);
default:
return(Engine.DataType.Float32);
}
return(Engine.DataType.Float32);
}
public SiaTensor Mean(SiaTensor x, params int[] dims)
{
for (int i = 0; i < dims.Length; i++)
{
dims[i] = dims[i] < 0 ? x.DimCount + dims[i] : dims[i];
}
return Out(math_ops.reduce_mean(In(x), dims, true));
}
public SiaTensor Min(SiaTensor x, params int[] dims)
{
for (int i = 0; i < dims.Length; i++)
{
dims[i] = dims[i] < 0 ? x.DimCount + dims[i] : dims[i];
x = Min(x, dims[i]);
}
return x;
}
public SiaTensor Sum(SiaTensor x, params int[] dims)
{
foreach (var item in dims)
{
int dim = item < 0 ? x.DimCount + item : item;
x = Sum(x, item);
}
return x;
}
public SiaTensor Tile(SiaTensor x, int n, int axis = 0)
{
axis = axis < 0 ? x.DimCount + axis : axis;
int[] multiples = new int[x.DimCount];
for(int i=0;i<multiples.Length;i++)
{
if(i == axis)
{
multiples[i] = n;
continue;
}
multiples[i] = 1;
}
return Out(tf.tile(In(x), In(multiples)));
}
public Engine.DataType GetDataType(DataType x)
{
throw new NotImplementedException();
}
public void Dispose(DataType x)
{
throw new NotImplementedException();
}
public Array GetArray(DataType x)
{
throw new NotImplementedException();
}
public DataType Col2Im(DataType cols, long[] x_shape, Tuple <int, int> kernalSize, int padding = 1, int stride = 1)
{
throw new NotImplementedException();
}
public DataType L2Normalize(DataType x, int axis = -1)
{
throw new NotImplementedException();
}
public DataType Diag(DataType x)
{
throw new NotImplementedException();
}
public float Mean(DataType x)
{
throw new NotImplementedException();
}
public DataType Clip(DataType x, float min, float max)
{
throw new NotImplementedException();
}
public DataType Square(DataType x)
{
throw new NotImplementedException();
}
public DataType Pow(DataType x, float value)
{
throw new NotImplementedException();
}
public long[] GetShape(DataType x)
{
throw new NotImplementedException();
}
public DataType Dot(DataType a, DataType b)
{
throw new NotImplementedException();
}
public DataType Mean(DataType x, int dim)
{
throw new NotImplementedException();
}
public DataType Softplus(DataType x, int axis = -1)
{
throw new NotImplementedException();
}
public DataType Mean(DataType x, params int[] dim)
{
throw new NotImplementedException();
}
public DataType Im2Col(DataType x, Tuple <int, int> kernalSize, int padding = 1, int stride = 1)
{
throw new NotImplementedException();
}
public DataType Argmin(DataType x, int dim = 0)
{
throw new NotImplementedException();
}
public DataType SliceCols(DataType x, long start, long end)
{
throw new NotImplementedException();
}
public DataType Maximum(DataType a, DataType b)
{
throw new NotImplementedException();
}
public object Eval(DataType x)
{
throw new NotImplementedException();
}
public DataType Minimum(DataType a, float b)
{
throw new NotImplementedException();
}
public void Print(DataType x, string title = "")
{
throw new NotImplementedException();
}
public DataType Transpose(DataType x)
{
throw new NotImplementedException();
}
public DataType Reshape(DataType x, params long[] shape)
{
throw new NotImplementedException();
}
public DataType Transpose(DataType x, params int[] dims)
{
throw new NotImplementedException();
}
