1 // Generated file (from: mean_relaxed.mod.py). Do not edit 2 void CreateModel(Model *model) { 3 OperandType type2(Type::INT32, {}); 4 OperandType type3(Type::TENSOR_FLOAT32, {1, 2, 1}); 5 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1}); 6 OperandType type1(Type::TENSOR_INT32, {1}); 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[] = {2}; 14 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); 15 static int32_t keepDims_init[] = {0}; 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 // Phase 4: set relaxed execution 23 model->relaxComputationFloat32toFloat16(true); 24 assert(model->isValid()); 25 } 26 27 bool is_ignored(int i) { 28 static std::set<int> ignore = {}; 29 return ignore.find(i) != ignore.end(); 30 } 31
