1 // Generated file (from: lsh_projection_2.mod.py). Do not edit 2 void CreateModel(Model *model) { 3 OperandType type3(Type::INT32, {}); 4 OperandType type2(Type::TENSOR_FLOAT32, {3}); 5 OperandType type0(Type::TENSOR_FLOAT32, {4, 2}); 6 OperandType type1(Type::TENSOR_INT32, {3, 2}); 7 OperandType type4(Type::TENSOR_INT32, {4}); 8 // Phase 1, operands 9 auto hash = model->addOperand(&type0); 10 auto lookup = model->addOperand(&type1); 11 auto weight = model->addOperand(&type2); 12 auto type_param = model->addOperand(&type3); 13 auto output = model->addOperand(&type4); 14 // Phase 2, operations 15 static float hash_init[] = {0.123f, 0.456f, -0.321f, -0.654f, 1.234f, 5.678f, -4.321f, -8.765f}; 16 model->setOperandValue(hash, hash_init, sizeof(float) * 8); 17 static int32_t type_param_init[] = {1}; 18 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); 19 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); 20 // Phase 3, inputs and outputs 21 model->identifyInputsAndOutputs( 22 {lookup, weight}, 23 {output}); 24 assert(model->isValid()); 25 } 26 27 bool is_ignored(int i) { 28 static std::set<int> ignore = {}; 29 return ignore.find(i) != ignore.end(); 30 } 31
