1 write to Outputs
Microsoft.ML.TensorFlow (1)
TensorflowTransform.cs (1)
302
Outputs
= outputColumnNames;
14 references to Outputs
Microsoft.ML.TensorFlow (14)
TensorflowTransform.cs (14)
305
(TFOutputTypes, OutputTypes, TFOutputOperations) = GetOutputInfo(Host, Session,
Outputs
, treatOutputAsBatched);
309
TFOutputNodes = new TF_Output[
Outputs
.Length];
500
Host.AssertNonEmpty(
Outputs
);
501
ctx.Writer.Write(
Outputs
.Length);
502
foreach (var colName in
Outputs
)
645
var activeOutputColNames = _parent.
Outputs
.Where((x, i) => activeOutput(i)).ToArray();
709
var tensor = outputCache.Outputs[_parent.
Outputs
[iinfo]];
722
var tensor = outputCache.Outputs[_parent.
Outputs
[iinfo]];
737
var tensor = outputCache.Outputs[_parent.
Outputs
[iinfo]];
756
Runner runner = new Runner(_parent.Session, _parent.Inputs.ToArray(), _parent.
Outputs
.ToArray());
781
return col => Enumerable.Range(0, _parent.
Outputs
.Length).Any(i => activeOutput(i)) && _inputColIndices.Any(i => i == col);
786
var info = new DataViewSchema.DetachedColumn[_parent.
Outputs
.Length];
787
for (int i = 0; i < _parent.
Outputs
.Length; i++)
788
info[i] = new DataViewSchema.DetachedColumn(_parent.
Outputs
[i], _parent.OutputTypes[i], null);