relu6_float_1.model.cpp revision 5d58071b9afb2162bcd53525ce1c8610c5ca2cd8
15d58071b9afb2162bcd53525ce1c8610c5ca2cd8Miao Wang// Generated file. Do not edit 25d58071b9afb2162bcd53525ce1c8610c5ca2cd8Miao Wangvoid CreateModel(Model *model) { 35d58071b9afb2162bcd53525ce1c8610c5ca2cd8Miao Wang OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1}); 45d58071b9afb2162bcd53525ce1c8610c5ca2cd8Miao Wang // Phase 1, operands 55d58071b9afb2162bcd53525ce1c8610c5ca2cd8Miao Wang auto op1 = model->addOperand(&type0); 65d58071b9afb2162bcd53525ce1c8610c5ca2cd8Miao Wang auto op2 = model->addOperand(&type0); 75d58071b9afb2162bcd53525ce1c8610c5ca2cd8Miao Wang // Phase 2, operations 85d58071b9afb2162bcd53525ce1c8610c5ca2cd8Miao Wang model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2}); 95d58071b9afb2162bcd53525ce1c8610c5ca2cd8Miao Wang // Phase 3, inputs and outputs 105d58071b9afb2162bcd53525ce1c8610c5ca2cd8Miao Wang model->setInputsAndOutputs( 115d58071b9afb2162bcd53525ce1c8610c5ca2cd8Miao Wang {op1}, 125d58071b9afb2162bcd53525ce1c8610c5ca2cd8Miao Wang {op2}); 135d58071b9afb2162bcd53525ce1c8610c5ca2cd8Miao Wang assert(model->isValid()); 145d58071b9afb2162bcd53525ce1c8610c5ca2cd8Miao Wang} 15