1 // Generated file (from: mean_quant8_2.mod.py). Do not edit 2 void CreateModel(Model *model) { 3 OperandType type2(Type::INT32, {}); 4 OperandType type1(Type::TENSOR_INT32, {2}); 5 OperandType type3(Type::TENSOR_QUANT8_ASYMM, {1, 3, 1}, 0.8, 5); 6 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {4, 3, 2}, 0.8, 5); 7 // Phase 1, operands 8 auto input = model->addOperand(&type0); 9 auto axis = model->addOperand(&type1); 10 auto keepDims = model->addOperand(&type2); 11 auto output = model->addOperand(&type3); 12 // Phase 2, operations 13 static int32_t axis_init[] = {0, 2}; 14 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 2); 15 static int32_t keepDims_init[] = {1}; 16 model->setOperandValue(keepDims, keepDims_init, sizeof(int32_t) * 1); 17 model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {output}); 18 // Phase 3, inputs and outputs 19 model->identifyInputsAndOutputs( 20 {input}, 21 {output}); 22 assert(model->isValid()); 23 } 24 25 bool is_ignored(int i) { 26 static std::set<int> ignore = {}; 27 return ignore.find(i) != ignore.end(); 28 } 29
