1// Generated file (from: max_pool_float_3_relaxed.mod.py). Do not edit 2void CreateModel(Model *model) { 3 OperandType type1(Type::INT32, {}); 4 OperandType type2(Type::TENSOR_FLOAT32, {5, 2, 3, 3}); 5 OperandType type0(Type::TENSOR_FLOAT32, {5, 50, 70, 3}); 6 // Phase 1, operands 7 auto i0 = model->addOperand(&type0); 8 auto stride = model->addOperand(&type1); 9 auto filter = model->addOperand(&type1); 10 auto padding = model->addOperand(&type1); 11 auto relu6_activation = model->addOperand(&type1); 12 auto output = model->addOperand(&type2); 13 // Phase 2, operations 14 static int32_t stride_init[] = {20}; 15 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1); 16 static int32_t filter_init[] = {20}; 17 model->setOperandValue(filter, filter_init, sizeof(int32_t) * 1); 18 static int32_t padding_init[] = {0}; 19 model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1); 20 static int32_t relu6_activation_init[] = {3}; 21 model->setOperandValue(relu6_activation, relu6_activation_init, sizeof(int32_t) * 1); 22 model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, relu6_activation}, {output}); 23 // Phase 3, inputs and outputs 24 model->identifyInputsAndOutputs( 25 {i0}, 26 {output}); 27 // Phase 4: set relaxed execution 28 model->relaxComputationFloat32toFloat16(true); 29 assert(model->isValid()); 30} 31 32bool is_ignored(int i) { 33 static std::set<int> ignore = {}; 34 return ignore.find(i) != ignore.end(); 35} 36