1 // Generated file (from: space_to_batch_quant8_1.mod.py). Do not edit 2 void CreateModel(Model *model) { 3 OperandType type2(Type::TENSOR_INT32, {2, 2}); 4 OperandType type1(Type::TENSOR_INT32, {2}); 5 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 4, 4, 1}, 1.0, 0); 6 OperandType type3(Type::TENSOR_QUANT8_ASYMM, {4, 2, 2, 1}, 1.0, 0); 7 // Phase 1, operands 8 auto input = model->addOperand(&type0); 9 auto block_size = model->addOperand(&type1); 10 auto paddings = model->addOperand(&type2); 11 auto output = model->addOperand(&type3); 12 // Phase 2, operations 13 static int32_t block_size_init[] = {2, 2}; 14 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); 15 static int32_t paddings_init[] = {0, 0, 0, 0}; 16 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); 17 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {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
