40     const hexagon_nn_input& in1 = model->getTensor(ins[0]);  in add()
41     const hexagon_nn_input& in2 = model->getTensor(ins[1]);  in add()
56     const hexagon_nn_input& input = model->getTensor(ins[0]);  in average_pool_2d()
110         inputs[i + 1] = model->getTensor(ins[i]);  in concatenation()
129     const hexagon_nn_input& input = model->getTensor(ins[0]);  in conv_2d()
131     const hexagon_nn_input& bias = model->getTensor(ins[2]);  in conv_2d()
176     const hexagon_nn_input& input = model->getTensor(ins[0]);  in depthwise_conv_2d()
177     const hexagon_nn_input& bias = model->getTensor(ins[2]);  in depthwise_conv_2d()
227     const hexagon_nn_input& input = model->getTensor(ins[0]);  in fully_connected()
229     const hexagon_nn_input& bias = model->getTensor(ins[2]);  in fully_connected()
244     const hexagon_nn_input& input = model->getTensor(ins[0]);  in l2_pool_2d()
296     const hexagon_nn_input& input = model->getTensor(ins[0]);  in local_response_normalization()
297     const hexagon_nn_input& bias = model->getTensor(ins[2]);  in local_response_normalization()
298     const hexagon_nn_input& alpha = model->getTensor(ins[3]);  in local_response_normalization()
299     const hexagon_nn_input& beta = model->getTensor(ins[4]);  in local_response_normalization()
315     const hexagon_nn_input& input = model->getTensor(ins[0]);  in logistic()
328     const hexagon_nn_input& input = model->getTensor(ins[0]);  in max_pool_2d()
377     const hexagon_nn_input& in1 = model->getTensor(ins[0]);  in mul()
378     const hexagon_nn_input& in2 = model->getTensor(ins[1]);  in mul()
392     const hexagon_nn_input& input = model->getTensor(ins[0]);  in relu()
404     const hexagon_nn_input& input = model->getTensor(ins[0]);  in relu1()
418     const hexagon_nn_input& input = model->getTensor(ins[0]);  in relu6()
431     const hexagon_nn_input& input = model->getTensor(ins[0]);  in reshape()
432     const hexagon_nn_input& newdims = model->getTensor(ins[1]);  in reshape()
444     const hexagon_nn_input& input = model->getTensor(ins[0]);  in resize_bilinear()
461     const hexagon_nn_input& input = model->getTensor(ins[0]);  in softmax()
462     const hexagon_nn_input& beta = model->getTensor(ins[1]);  in softmax()
474     const hexagon_nn_input& input = model->getTensor(ins[0]);  in tanh()
489     const hexagon_nn_input& in1 = model->getTensor(ins[0]);  in add()
490     const hexagon_nn_input& in2 = model->getTensor(ins[1]);  in add()
511     const hexagon_nn_input& input = model->getTensor(ins[0]);  in average_pool_2d()
567         inputs[i + 1 + numInputTensors * 0] = model->getTensor(ins[i]);  in concatenation()
588     const hexagon_nn_input& input = model->getTensor(ins[0]);  in conv_2d()
590     const hexagon_nn_input& bias = model->getTensor(ins[2]);  in conv_2d()
643     const hexagon_nn_input& input = model->getTensor(ins[0]);  in depthwise_conv_2d()
644     const hexagon_nn_input& bias = model->getTensor(ins[2]);  in depthwise_conv_2d()
700     const hexagon_nn_input& input = model->getTensor(ins[0]);  in dequantize()
715     const hexagon_nn_input& input = model->getTensor(ins[0]);  in fully_connected()
717     const hexagon_nn_input& bias = model->getTensor(ins[2]);  in fully_connected()
740     const hexagon_nn_input& input = model->getTensor(ins[0]);  in logistic()
759     const hexagon_nn_input& input = model->getTensor(ins[0]);  in max_pool_2d()
810     const hexagon_nn_input& in1 = model->getTensor(ins[0]);  in mul()
811     const hexagon_nn_input& in2 = model->getTensor(ins[1]);  in mul()
831     const hexagon_nn_input& input = model->getTensor(ins[0]);  in relu()
847     const hexagon_nn_input& input = model->getTensor(ins[0]);  in relu1()
865     const hexagon_nn_input& input = model->getTensor(ins[0]);  in relu6()
882     const hexagon_nn_input& input = model->getTensor(ins[0]);  in reshape()
883     const hexagon_nn_input& newdims = model->getTensor(ins[1]);  in reshape()
899     const hexagon_nn_input& input = model->getTensor(ins[0]);  in softmax()
900     const hexagon_nn_input& beta = model->getTensor(ins[1]);  in softmax()