1 write to Outputs
Microsoft.ML.OnnxTransformer (1)
OnnxTransform.cs (1)
290
Outputs
= (options.OutputColumns.Count() == 0) ? Model.ModelInfo.OutputNames.ToArray() : options.OutputColumns;
23 references to Outputs
Microsoft.ML.OnnxTransformer (23)
OnnxTransform.cs (23)
126
/// It's also possible that the <see cref="
Outputs
"/> contains less variables than ONNX model's output list.
127
/// For each name in <see cref="
Outputs
"/>, an output tensor with the same name can be found in the underlying ONNX model.
131
/// Types of <see cref="
Outputs
"/>. The i-th element is the type of the i-th output in <see cref="
Outputs
"/>.
291
OutputTypes = new DataViewType[
Outputs
.Length];
293
for (int i = 0; i <
Outputs
.Length; i++)
295
var outputInfo = Model.ModelInfo.GetOutput(
Outputs
[i]);
431
Host.CheckNonEmpty(
Outputs
, nameof(
Outputs
));
432
ctx.Writer.Write(
Outputs
.Length);
433
foreach (var colName in
Outputs
)
477
return Model.ModelInfo.OutputNames.IndexOf(
Outputs
[iinfo]);
569
var info = new DataViewSchema.DetachedColumn[_parent.
Outputs
.Length];
570
for (int i = 0; i < _parent.
Outputs
.Length; i++)
572
var onnxOutputName = _parent.
Outputs
[i];
610
return col => Enumerable.Range(0, _parent.
Outputs
.Length).Any(i => activeOutput(i)) && _inputColIndices.Any(i => i == col);
622
var activeOutputColNames = _parent.
Outputs
.Where((x, i) => activeOutput(i)).ToArray();
716
var namedOnnxValue = outputCacher.Outputs[_parent.
Outputs
[iinfo]];
736
var namedOnnxValue = outputCacher.Outputs[_parent.
Outputs
[iinfo]];
760
var namedOnnxValue = outputCacher.Outputs[_parent.
Outputs
[iinfo]];
1083
for (var i = 0; i < Transformer.
Outputs
.Length; i++)
1085
resultDic[Transformer.
Outputs
[i]] = new SchemaShape.Column(Transformer.
Outputs
[i],