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)
276var inputsForTraining = new string[_inputs.Length + 1]; 282for (int i = 0; i < _inputs.Length; i++) 283inputsForTraining[i] = _idvToTfMapping[_inputs[i]]; 288GetTrainingInputInfo(inputSchema, _inputs[i], inputsForTraining[i], options.BatchSize); 540foreach (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]; 690Host.AssertNonEmpty(_inputs); 691ctx.Writer.Write(_inputs.Length); 692foreach (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]; 773for (int i = 0; i < _parent._inputs.Length; i++) 775if (!inputSchema.TryGetColumnIndex(_parent._inputs[i], out _inputColIndices[i])) 776throw Host.ExceptSchemaMismatch(nameof(InputSchema), "source", _parent._inputs[i]); 788throw Host.ExceptSchemaMismatch(nameof(inputSchema), "input", _parent._inputs[i], expectedType.ToString(), type.ToString()); 811throw Contracts.Except($"Input shape mismatch: Input '{_parent._inputs[i]}' has shape {originalShape.ToString()}, but input data is of length {typeValueCount}."); 818throw Contracts.Except($"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(), 932for (int i = 0; i < _parent._inputs.Length; i++)