private Delegate MakeGetter <T>(IRow input, ColumnType columnType)
{
_host.AssertValue(input);
_host.Assert(typeof(T) == columnType.ItemType.RawType);
var srcTensorGetters = GetTensorValueGetters(input);
ValueGetter <VBuffer <T> > valuegetter = (ref VBuffer <T> dst) =>
{
var runner = _session.GetRunner();
for (int i = 0; i < _inputColIndices.Length; i++)
{
var inputName = _inputColNames[i];
runner.AddInput(inputName, srcTensorGetters[i].GetTensor());
}
var tensors = runner.Fetch(_outputColName).Run();
Contracts.Assert(tensors.Length > 0);
var values = dst.Values;
if (Utils.Size(values) < _outputColType.VectorSize)
{
values = new T[_outputColType.VectorSize];
}
TensorFlowUtils.FetchData <T>(tensors[0].Data, values);
dst = new VBuffer <T>(values.Length, values, dst.Indices);
};
return(valuegetter);
}
private Delegate MakeGetter <T>(IRow input, int iinfo, ITensorValueGetter[] srcTensorGetters, string[] activeOutputColNames, OutputCache outputCache)
{
_host.AssertValue(input);
ValueGetter <VBuffer <T> > valuegetter = (ref VBuffer <T> dst) =>
{
UpdateCacheIfNeeded(input.Position, srcTensorGetters, activeOutputColNames, outputCache);
var values = dst.Values;
var indices = dst.Indices;
if (Utils.Size(values) < _parent.OutputTypes[iinfo].VectorSize)
{
values = new T[_parent.OutputTypes[iinfo].VectorSize];
indices = new int[_parent.OutputTypes[iinfo].VectorSize];
}
TensorFlowUtils.FetchData <T>(outputCache.Outputs[_parent.Outputs[iinfo]].Data, values);
dst = new VBuffer <T>(values.Length, values, indices);
};
return(valuegetter);
}
private Delegate MakeGetter <T>(IRow input, int iinfo, ITensorValueGetter[] srcTensorGetters, string[] activeOutputColNames, OutputCache outputCache)
{
_host.AssertValue(input);
ValueGetter <VBuffer <T> > valuegetter = (ref VBuffer <T> dst) =>
{
UpdateCacheIfNeeded(input.Position, srcTensorGetters, activeOutputColNames, outputCache);
var tensor = outputCache.Outputs[_parent.Outputs[iinfo]];
var tensorSize = tensor.Shape.Where(x => x > 0).Aggregate((x, y) => x * y);
var values = dst.Values;
if (Utils.Size(values) < tensorSize)
{
values = new T[tensorSize];
}
TensorFlowUtils.FetchData <T>(tensor.Data, values);
dst = new VBuffer <T>(values.Length, values, dst.Indices);
};
return(valuegetter);
}
