1 write to _inputs
Microsoft.ML.Vision (1)
DnnRetrainTransform.cs (1)
536
_inputs
= inputColumnNames;
21 references to _inputs
Microsoft.ML.Vision (21)
DnnRetrainTransform.cs (21)
276
var inputsForTraining = new string[
_inputs
.Length + 1];
282
for (int i = 0; i <
_inputs
.Length; i++)
283
inputsForTraining[i] = _idvToTfMapping[
_inputs
[i]];
288
GetTrainingInputInfo(inputSchema,
_inputs
[i], inputsForTraining[i], options.BatchSize);
540
foreach (var x in
_inputs
)
548
(_tfInputTypes, _tfInputShapes, _tfInputOperations) = GetInputInfo(Host, _session,
_inputs
.Select(x => _idvToTfMapping[x]).ToArray(), batchSize);
550
_tfInputNodes = new TF_Output[
_inputs
.Length];
690
Host.AssertNonEmpty(
_inputs
);
691
ctx.Writer.Write(
_inputs
.Length);
692
foreach (var colName in
_inputs
)
770
_inputColIndices = new int[_parent.
_inputs
.Length];
771
_isInputVector = new bool[_parent.
_inputs
.Length];
772
_fullySpecifiedShapes = new Shape[_parent.
_inputs
.Length];
773
for (int i = 0; i < _parent.
_inputs
.Length; i++)
775
if (!inputSchema.TryGetColumnIndex(_parent.
_inputs
[i], out _inputColIndices[i]))
776
throw Host.ExceptSchemaMismatch(nameof(InputSchema), "source", _parent.
_inputs
[i]);
788
throw Host.ExceptSchemaMismatch(nameof(inputSchema), "input", _parent.
_inputs
[i], expectedType.ToString(), type.ToString());
811
throw Contracts.Except($"Input shape mismatch: Input '{_parent.
_inputs
[i]}' has shape {originalShape.ToString()}, but input data is of length {typeValueCount}.");
818
throw Contracts.Except($"Input shape mismatch: Input '{_parent.
_inputs
[i]}' has shape {originalShape.ToString()}, but input data is of length {typeValueCount}.");
928
_parent.
_inputs
.Select(x => _parent._idvToTfMapping[x]).ToArray(),
932
for (int i = 0; i < _parent.
_inputs
.Length; i++)