1 write to _inputs
Microsoft.ML.Vision (1)
DnnRetrainTransform.cs (1)
537
_inputs
= inputColumnNames;
21 references to _inputs
Microsoft.ML.Vision (21)
DnnRetrainTransform.cs (21)
277
var inputsForTraining = new string[
_inputs
.Length + 1];
283
for (int i = 0; i <
_inputs
.Length; i++)
284
inputsForTraining[i] = _idvToTfMapping[
_inputs
[i]];
289
GetTrainingInputInfo(inputSchema,
_inputs
[i], inputsForTraining[i], options.BatchSize);
541
foreach (var x in
_inputs
)
549
(_tfInputTypes, _tfInputShapes, _tfInputOperations) = GetInputInfo(Host, _session,
_inputs
.Select(x => _idvToTfMapping[x]).ToArray(), batchSize);
551
_tfInputNodes = new TF_Output[
_inputs
.Length];
691
Host.AssertNonEmpty(
_inputs
);
692
ctx.Writer.Write(
_inputs
.Length);
693
foreach (var colName in
_inputs
)
771
_inputColIndices = new int[_parent.
_inputs
.Length];
772
_isInputVector = new bool[_parent.
_inputs
.Length];
773
_fullySpecifiedShapes = new TensorShape[_parent.
_inputs
.Length];
774
for (int i = 0; i < _parent.
_inputs
.Length; i++)
776
if (!inputSchema.TryGetColumnIndex(_parent.
_inputs
[i], out _inputColIndices[i]))
777
throw Host.ExceptSchemaMismatch(nameof(InputSchema), "source", _parent.
_inputs
[i]);
789
throw Host.ExceptSchemaMismatch(nameof(inputSchema), "input", _parent.
_inputs
[i], expectedType.ToString(), type.ToString());
812
throw Contracts.Except($"Input shape mismatch: Input '{_parent.
_inputs
[i]}' has shape {originalShape.ToString()}, but input data is of length {typeValueCount}.");
819
throw Contracts.Except($"Input shape mismatch: Input '{_parent.
_inputs
[i]}' has shape {originalShape.ToString()}, but input data is of length {typeValueCount}.");
929
_parent.
_inputs
.Select(x => _parent._idvToTfMapping[x]).ToArray(),
933
for (int i = 0; i < _parent.
_inputs
.Length; i++)