1 // Generated file (from: transpose_relaxed.mod.py). Do not edit 2 void CreateModel(Model *model) { 3 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1}); 4 OperandType type1(Type::TENSOR_INT32, {4}); 5 // Phase 1, operands 6 auto input = model->addOperand(&type0); 7 auto perms = model->addOperand(&type1); 8 auto output = model->addOperand(&type0); 9 // Phase 2, operations 10 static int32_t perms_init[] = {0, 2, 1, 3}; 11 model->setOperandValue(perms, perms_init, sizeof(int32_t) * 4); 12 model->addOperation(ANEURALNETWORKS_TRANSPOSE, {input, perms}, {output}); 13 // Phase 3, inputs and outputs 14 model->identifyInputsAndOutputs( 15 {input}, 16 {output}); 17 // Phase 4: set relaxed execution 18 model->relaxComputationFloat32toFloat16(true); 19 assert(model->isValid()); 20 } 21 22 bool is_ignored(int i) { 23 static std::set<int> ignore = {}; 24 return ignore.find(i) != ignore.end(); 25 } 26
