494     const hexagon_nn_input& in1_min = model->getQuantizationMin(ins[0]);  in add()
496     const hexagon_nn_input& in2_min = model->getQuantizationMin(ins[1]);  in add()
547     const hexagon_nn_input& in_min = model->getQuantizationMin(ins[0]);  in average_pool_2d()
568         inputs[i + 1 + numInputTensors * 1] = model->getQuantizationMin(ins[i]);  in concatenation()
621     const hexagon_nn_input& input_min = model->getQuantizationMin(ins[0]);  in conv_2d()
623     const hexagon_nn_input& filter_min = model->getQuantizationMin(ins[1]);  in conv_2d()
625     const hexagon_nn_input& bias_min = model->getQuantizationMin(ins[2]);  in conv_2d()
678     const hexagon_nn_input& input_min = model->getQuantizationMin(ins[0]);  in depthwise_conv_2d()
680     const hexagon_nn_input& filter_min = model->getQuantizationMin(ins[1]);  in depthwise_conv_2d()
682     const hexagon_nn_input& bias_min = model->getQuantizationMin(ins[2]);  in depthwise_conv_2d()
702     const hexagon_nn_input& input_min = model->getQuantizationMin(ins[0]);  in dequantize()
721     const hexagon_nn_input& input_min = model->getQuantizationMin(ins[0]);  in fully_connected()
723     const hexagon_nn_input& weights_min = model->getQuantizationMin(ins[1]);  in fully_connected()
725     const hexagon_nn_input& bias_min = model->getQuantizationMin(ins[2]);  in fully_connected()
742     const hexagon_nn_input& input_min = model->getQuantizationMin(ins[0]);  in logistic()
795     const hexagon_nn_input& input_min = model->getQuantizationMin(ins[0]);  in max_pool_2d()
815     const hexagon_nn_input& in1_min = model->getQuantizationMin(ins[0]);  in mul()
817     const hexagon_nn_input& in2_min = model->getQuantizationMin(ins[1]);  in mul()
833     const hexagon_nn_input& input_min = model->getQuantizationMin(ins[0]);  in relu()
851     const hexagon_nn_input& input_min = model->getQuantizationMin(ins[0]);  in relu1()
868     const hexagon_nn_input& input_min = model->getQuantizationMin(ins[0]);  in relu6()
885     const hexagon_nn_input& input_min = model->getQuantizationMin(ins[0]);  in reshape()
902     const hexagon_nn_input& input_min = model->getQuantizationMin(ins[0]);  in softmax()