105     const size_t numInputTensors = ins.size() - 1;  in concatenation()  local
108     std::vector<hexagon_nn_input> inputs(numInputTensors + 1);  in concatenation()
109     for (size_t i = 0; i < numInputTensors; ++i) {  in concatenation()
114     const int32_t axis = model->getScalar<int32_t>(ins[numInputTensors]);  in concatenation()
562     const size_t numInputTensors = ins.size() - 1;  in concatenation()  local
565     std::vector<hexagon_nn_input> inputs(numInputTensors * 3 + 1);  in concatenation()
566     for (size_t i = 0; i < numInputTensors; ++i) {  in concatenation()
567         inputs[i + 1 + numInputTensors * 0] = model->getTensor(ins[i]);  in concatenation()
568         inputs[i + 1 + numInputTensors * 1] = model->getQuantizationMin(ins[i]);  in concatenation()
569         inputs[i + 1 + numInputTensors * 2] = model->getQuantizationMax(ins[i]);  in concatenation()
573     const int32_t axis = model->getScalar<int32_t>(ins[numInputTensors]);  in concatenation()