public static IntTensor BuildIntTensor(TensorProto t, SyftController ctrl)
{
int[] tShape = ONNXTools.GetShape(t);
IntTensor tensor;
int[] tData;
if (t.Int32Data.Count == 0)
{
byte[] tmpData = t.RawData.ToByteArray();
tData = new int[tmpData.Length / 4];
Buffer.BlockCopy(tmpData, 0, tData, 0, tmpData.Length);
}
else
{
tData = new int[t.Int32Data.Count];
t.Int32Data.CopyTo(tData, 0);
}
tensor = ctrl.intTensorFactory.Create(_shape: tShape, _data: tData);
return(tensor);
}
public static FloatTensor BuildFloatTensor(TensorProto t, SyftController ctrl, bool autograd = true, bool keepgrads = true)
{
int[] tShape = ONNXTools.GetShape(t);
FloatTensor tensor;
float[] tData;
if (t.FloatData.Count == 0)
{
byte[] tmpData = t.RawData.ToByteArray();
tData = new float[tmpData.Length / 4];
Buffer.BlockCopy(tmpData, 0, tData, 0, tmpData.Length);
}
else
{
tData = new float[t.FloatData.Count];
t.FloatData.CopyTo(tData, 0);
}
tensor = ctrl.floatTensorFactory.Create(_shape: tShape, _data: tData, _autograd: autograd, _keepgrads: keepgrads);
return(tensor);
}