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)
277var inputsForTraining = new string[_inputs.Length + 1]; 283for (int i = 0; i < _inputs.Length; i++) 284inputsForTraining[i] = _idvToTfMapping[_inputs[i]]; 289GetTrainingInputInfo(inputSchema, _inputs[i], inputsForTraining[i], options.BatchSize); 541foreach (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]; 691Host.AssertNonEmpty(_inputs); 692ctx.Writer.Write(_inputs.Length); 693foreach (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]; 774for (int i = 0; i < _parent._inputs.Length; i++) 776if (!inputSchema.TryGetColumnIndex(_parent._inputs[i], out _inputColIndices[i])) 777throw Host.ExceptSchemaMismatch(nameof(InputSchema), "source", _parent._inputs[i]); 789throw Host.ExceptSchemaMismatch(nameof(inputSchema), "input", _parent._inputs[i], expectedType.ToString(), type.ToString()); 812throw Contracts.Except($"Input shape mismatch: Input '{_parent._inputs[i]}' has shape {originalShape.ToString()}, but input data is of length {typeValueCount}."); 819throw Contracts.Except($"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(), 933for (int i = 0; i < _parent._inputs.Length; i++)