1 // clang-format off 2 // Generated file (from: concat_float16_2.mod.py). Do not edit 3 void CreateModel(Model *model) { 4 OperandType type0(Type::TENSOR_FLOAT16, {52, 230}); 5 OperandType type1(Type::TENSOR_FLOAT16, {40, 230}); 6 OperandType type2(Type::INT32, {}); 7 OperandType type3(Type::TENSOR_FLOAT16, {92, 230}); 8 // Phase 1, operands 9 auto input1 = model->addOperand(&type0); 10 auto input2 = model->addOperand(&type1); 11 auto axis0 = model->addOperand(&type2); 12 auto output = model->addOperand(&type3); 13 // Phase 2, operations 14 static int32_t axis0_init[] = {0}; 15 model->setOperandValue(axis0, axis0_init, sizeof(int32_t) * 1); 16 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis0}, {output}); 17 // Phase 3, inputs and outputs 18 model->identifyInputsAndOutputs( 19 {input1, input2}, 20 {output}); 21 assert(model->isValid()); 22 } 23 24 inline bool is_ignored(int i) { 25 static std::set<int> ignore = {}; 26 return ignore.find(i) != ignore.end(); 27 } 28 29 void CreateModel_dynamic_output_shape(Model *model) { 30 OperandType type0(Type::TENSOR_FLOAT16, {52, 230}); 31 OperandType type1(Type::TENSOR_FLOAT16, {40, 230}); 32 OperandType type2(Type::INT32, {}); 33 OperandType type4(Type::TENSOR_FLOAT16, {0, 0}); 34 // Phase 1, operands 35 auto input1 = model->addOperand(&type0); 36 auto input2 = model->addOperand(&type1); 37 auto axis0 = model->addOperand(&type2); 38 auto output = model->addOperand(&type4); 39 // Phase 2, operations 40 static int32_t axis0_init[] = {0}; 41 model->setOperandValue(axis0, axis0_init, sizeof(int32_t) * 1); 42 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis0}, {output}); 43 // Phase 3, inputs and outputs 44 model->identifyInputsAndOutputs( 45 {input1, input2}, 46 {output}); 47 assert(model->isValid()); 48 } 49 50 inline bool is_ignored_dynamic_output_shape(int i) { 51 static std::set<int> ignore = {}; 52 return ignore.find(i) != ignore.end(); 53 } 54 55
