56     const hexagon_nn_input& input = model->getTensor(ins[0]);  in average_pool_2d()  local
96     return model->addFloatOperationWithActivation(OP_AvgPool_f, pad, act, {input, window, stride},  in average_pool_2d()
129     const hexagon_nn_input& input = model->getTensor(ins[0]);  in conv_2d()  local
165     return model->addFusedFloatOperation(OP_Conv2d_f, pad, bias, act, {input, filter, stride},  in conv_2d()
176     const hexagon_nn_input& input = model->getTensor(ins[0]);  in depthwise_conv_2d()  local
218                                          {input, filter, stride}, outs);  in depthwise_conv_2d()
227     const hexagon_nn_input& input = model->getTensor(ins[0]);  in fully_connected()  local
234     return model->addFusedFloatOperation(OP_MatMul_f, NN_PAD_NA, bias, act, {input, weights}, outs);  in fully_connected()
244     const hexagon_nn_input& input = model->getTensor(ins[0]);  in l2_pool_2d()  local
284     return model->addFloatOperationWithActivation(OP_L2Pool_f, pad, act, {input, window, stride},  in l2_pool_2d()
296     const hexagon_nn_input& input = model->getTensor(ins[0]);  in local_response_normalization()  local
306     return model->addBasicOperation(OP_LRN_f, NN_PAD_NA, {input, window, bias, alpha, beta}, outs);  in local_response_normalization()
315     const hexagon_nn_input& input = model->getTensor(ins[0]);  in logistic()  local
318     return model->addBasicOperation(OP_Sigmoid_f, NN_PAD_NA, {input}, outs);  in logistic()
328     const hexagon_nn_input& input = model->getTensor(ins[0]);  in max_pool_2d()  local
368     return model->addFloatOperationWithActivation(OP_MaxPool_f, pad, act, {input, window, stride},  in max_pool_2d()
392     const hexagon_nn_input& input = model->getTensor(ins[0]);  in relu()  local
395     return model->addBasicOperation(OP_Relu_f, NN_PAD_NA, {input}, outs);  in relu()
404     const hexagon_nn_input& input = model->getTensor(ins[0]);  in relu1()  local
409     return model->addBasicOperation(OP_Clamp_f, NN_PAD_NA, {input, min, max}, outs);  in relu1()
418     const hexagon_nn_input& input = model->getTensor(ins[0]);  in relu6()  local
422     return model->addBasicOperation(OP_ReluX_f, NN_PAD_NA, {input, max}, outs);  in relu6()
431     const hexagon_nn_input& input = model->getTensor(ins[0]);  in reshape()  local
435     return model->addBasicOperation(OP_Reshape, NN_PAD_NA, {input, newdims}, outs);  in reshape()
444     const hexagon_nn_input& input = model->getTensor(ins[0]);  in resize_bilinear()  local
452     return model->addBasicOperation(OP_ResizeBilinear_f, NN_PAD_NA, {input, newdim}, outs);  in resize_bilinear()
461     const hexagon_nn_input& input = model->getTensor(ins[0]);  in softmax()  local
465     return model->addBasicOperation(OP_Softmax_f, NN_PAD_NA, {input, beta}, outs);  in softmax()
474     const hexagon_nn_input& input = model->getTensor(ins[0]);  in tanh()  local
477     return model->addBasicOperation(OP_Tanh_f, NN_PAD_NA, {input}, outs);  in tanh()
511     const hexagon_nn_input& input = model->getTensor(ins[0]);  in average_pool_2d()  local
554                                                    {input, in_min, in_max, window, stride}, outs);  in average_pool_2d()
588     const hexagon_nn_input& input = model->getTensor(ins[0]);  in conv_2d()  local
633         {input, filter, input_min, input_max, filter_min, filter_max, stride}, outs);  in conv_2d()
643     const hexagon_nn_input& input = model->getTensor(ins[0]);  in depthwise_conv_2d()  local
691         {input, filter, input_min, input_max, filter_min, filter_max, stride}, outs);  in depthwise_conv_2d()
700     const hexagon_nn_input& input = model->getTensor(ins[0]);  in dequantize()  local
706     return model->addBasicOperation(OP_Dequantize, NN_PAD_NA, {input, input_min, input_max}, outs);  in dequantize()
715     const hexagon_nn_input& input = model->getTensor(ins[0]);  in fully_connected()  local
731         {input, weights, input_min, input_max, weights_min, weights_max}, outs);  in fully_connected()
740     const hexagon_nn_input& input = model->getTensor(ins[0]);  in logistic()  local
748     return model->addBasicOperation(OP_QuantizedSigmoid_8, NN_PAD_NA, {input, input_min, input_max},  in logistic()
759     const hexagon_nn_input& input = model->getTensor(ins[0]);  in max_pool_2d()  local
802         OP_QuantizedMaxPool_8, pad, act, {input, input_min, input_max, window, stride}, outs);  in max_pool_2d()
831     const hexagon_nn_input& input = model->getTensor(ins[0]);  in relu()  local
837     return model->addBasicOperation(OP_QuantizedRelu_8, NN_PAD_NA, {input, input_min, input_max},  in relu()
847     const hexagon_nn_input& input = model->getTensor(ins[0]);  in relu1()  local
856                                     {input, input_min, input_max, min, max}, outs);  in relu1()
865     const hexagon_nn_input& input = model->getTensor(ins[0]);  in relu6()  local
873                                     {input, input_min, input_max, max}, outs);  in relu6()
882     const hexagon_nn_input& input = model->getTensor(ins[0]);  in reshape()  local
890                                     {input, newdims, input_min, input_max}, outs);  in reshape()
899     const hexagon_nn_input& input = model->getTensor(ins[0]);  in softmax()  local
907                                     {input, input_min, input_max, beta}, outs);  in softmax()