1 // Generated file (from: avg_pool_quant8_3.mod.py). Do not edit 2 void CreateModel(Model *model) { 3 OperandType type1(Type::INT32, {}); 4 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 100, 100, 1}, 0.5f, 0); 5 OperandType type2(Type::TENSOR_QUANT8_ASYMM, {1, 23, 23, 1}, 0.5f, 0); 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 activation = model->addOperand(&type1); 12 auto output = model->addOperand(&type2); 13 // Phase 2, operations 14 static int32_t stride_init[] = {4}; 15 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1); 16 static int32_t filter_init[] = {10}; 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 activation_init[] = {0}; 21 model->setOperandValue(activation, activation_init, sizeof(int32_t) * 1); 22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output}); 23 // Phase 3, inputs and outputs 24 model->identifyInputsAndOutputs( 25 {i0}, 26 {output}); 27 assert(model->isValid()); 28 } 29 30 bool is_ignored(int i) { 31 static std::set<int> ignore = {}; 32 return ignore.find(i) != ignore.end(); 33 } 34
