public void InitializeValueGetters(IRow idvRow)
{
var type = IdvColumnType.ItemType.RawType;
_tensorValueGetter = Utils.MarshalInvoke(
CreateTensorValueGetter <int>, type, idvRow, _idvIsVectorColumn, IdvColumnIndex, _onnxTensorShape);
}
private ITensorValueGetter[] GetTensorValueGetters(IRow input)
{
var srcTensorGetters = new ITensorValueGetter[_inputColIndices.Length];
for (int j = 0; j < _inputColIndices.Length; j++)
{
int colIndex = _inputColIndices[j];
srcTensorGetters[j] = CreateTensorValueGetter(input, _tfInputTypes[j], _isVectorInput[j], colIndex, _tfInputShapes[j]);
}
return(srcTensorGetters);
}
private ITensorValueGetter[] GetTensorValueGetters(IRow input)
{
_host.Assert(input.Schema == _schema);
var srcTensorGetters = new ITensorValueGetter[_inputColIndices.Length];
for (int i = 0; i < _inputColIndices.Length; i++)
{
int colIndex = _inputColIndices[i];
srcTensorGetters[i] = CreateTensorValueGetter(input, _parent.TFInputTypes[i], _isInputVector[i], colIndex, _parent.TFInputShapes[i]);
}
return(srcTensorGetters);
}
private static ITensorValueGetter[] GetTensorValueGetters(IRow input,
int[] inputColIndices,
bool[] isInputVector,
DataType[] onnxInputTypes,
OnnxShape[] onnxInputShapes)
{
var srcTensorGetters = new ITensorValueGetter[inputColIndices.Length];
for (int i = 0; i < inputColIndices.Length; i++)
{
int colIndex = inputColIndices[i];
srcTensorGetters[i] = CreateTensorValueGetter(input, onnxInputTypes[i], isInputVector[i], colIndex, onnxInputShapes[i]);
}
return(srcTensorGetters);
}
