43     const op_type act = model->getFloatActivation(ins[2]);  in add()  local
46     return model->addFusedFloatOperation(OP_Add_f, NN_PAD_NA, {}, act, {in1, in2}, outs);  in add()
64     op_type act;  in average_pool_2d()  local
76         act = model->getFloatActivation(ins[9]);  in average_pool_2d()
89         act = model->getFloatActivation(ins[6]);  in average_pool_2d()
96     return model->addFloatOperationWithActivation(OP_AvgPool_f, pad, act, {input, window, stride},  in average_pool_2d()
137     op_type act;  in conv_2d()  local
147         act = model->getFloatActivation(ins[9]);  in conv_2d()
159         act = model->getFloatActivation(ins[6]);  in conv_2d()
165     return model->addFusedFloatOperation(OP_Conv2d_f, pad, bias, act, {input, filter, stride},  in conv_2d()
186     op_type act;  in depthwise_conv_2d()  local
197         act = model->getFloatActivation(ins[10]);  in depthwise_conv_2d()
210         act = model->getFloatActivation(ins[7]);  in depthwise_conv_2d()
217     return model->addFusedFloatOperation(OP_DepthwiseConv2d_f, pad, bias, act,  in depthwise_conv_2d()
231     const op_type act = model->getFloatActivation(ins[3]);  in fully_connected()  local
234     return model->addFusedFloatOperation(OP_MatMul_f, NN_PAD_NA, bias, act, {input, weights}, outs);  in fully_connected()
252     op_type act;  in l2_pool_2d()  local
264         act = model->getFloatActivation(ins[9]);  in l2_pool_2d()
277         act = model->getFloatActivation(ins[6]);  in l2_pool_2d()
284     return model->addFloatOperationWithActivation(OP_L2Pool_f, pad, act, {input, window, stride},  in l2_pool_2d()
336     op_type act;  in max_pool_2d()  local
348         act = model->getFloatActivation(ins[9]);  in max_pool_2d()
361         act = model->getFloatActivation(ins[6]);  in max_pool_2d()
368     return model->addFloatOperationWithActivation(OP_MaxPool_f, pad, act, {input, window, stride},  in max_pool_2d()
380     const op_type act = model->getFloatActivation(ins[2]);  in mul()  local
383     return model->addFusedFloatOperation(OP_Mul_f, NN_PAD_NA, {}, act, {in1, in2}, outs);  in mul()
492     const op_type act = model->getQuantizedActivation(ins[2]);  in add()  local
500     return model->addFusedQuant8Operation(OP_QuantizedAdd_8p8to32, NN_PAD_NA, {}, act,  in add()
519     op_type act;  in average_pool_2d()  local
531         act = model->getQuantizedActivation(ins[9]);  in average_pool_2d()
544         act = model->getQuantizedActivation(ins[6]);  in average_pool_2d()
553     return model->addQuant8OperationWithActivation(OP_QuantizedAvgPool_8, pad, act,  in average_pool_2d()
596     op_type act;  in conv_2d()  local
606         act = model->getQuantizedActivation(ins[9]);  in conv_2d()
618         act = model->getQuantizedActivation(ins[6]);  in conv_2d()
632         OP_QuantizedConv2d_8x8to32, pad, {bias, bias_min, bias_max}, act,  in conv_2d()
651     op_type act;  in depthwise_conv_2d()  local
662         act = model->getQuantizedActivation(ins[10]);  in depthwise_conv_2d()
675         act = model->getQuantizedActivation(ins[7]);  in depthwise_conv_2d()
690         OP_QuantizedDepthwiseConv2d_8x8to32, pad, {bias, bias_min, bias_max}, act,  in depthwise_conv_2d()
719     const op_type act = model->getQuantizedActivation(ins[3]);  in fully_connected()  local
730         OP_QuantizedMatMul_8x8to32, NN_PAD_NA, {bias, bias_min, bias_max}, act,  in fully_connected()
767     op_type act;  in max_pool_2d()  local
779         act = model->getQuantizedActivation(ins[9]);  in max_pool_2d()
792         act = model->getQuantizedActivation(ins[6]);  in max_pool_2d()
802         OP_QuantizedMaxPool_8, pad, act, {input, input_min, input_max, window, stride}, outs);  in max_pool_2d()
813     const op_type act = model->getQuantizedActivation(ins[2]);  in mul()  local
821     return model->addFusedQuant8Operation(OP_QuantizedMul_8x8to32, NN_PAD_NA, {}, act,  in mul()