1 // Generated file (from: hashtable_lookup_float.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type2(Type::TENSOR_FLOAT32, {3, 2});
4 OperandType type3(Type::TENSOR_FLOAT32, {4, 2});
5 OperandType type1(Type::TENSOR_INT32, {3});
6 OperandType type0(Type::TENSOR_INT32, {4});
7 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {4}, 1.f, 0);
8 // Phase 1, operands
9 auto lookup = model->addOperand(&type0);
10 auto key = model->addOperand(&type1);
11 auto value = model->addOperand(&type2);
12 auto output = model->addOperand(&type3);
13 auto hits = model->addOperand(&type4);
14 // Phase 2, operations
15 model->addOperation(ANEURALNETWORKS_HASHTABLE_LOOKUP, {lookup, key, value}, {output, hits});
16 // Phase 3, inputs and outputs
17 model->identifyInputsAndOutputs(
18 {lookup, key, value},
19 {output, hits});
20 assert(model->isValid());
21 }
22
is_ignored(int i)23 bool is_ignored(int i) {
24 static std::set<int> ignore = {};
25 return ignore.find(i) != ignore.end();
26 }
27