1 // Generated file (from: lsh_projection_weights_as_inputs.mod.py). Do not edit
CreateModel(Model * model)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, {8});
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 int32_t type_param_init[] = {2};
16 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1);
17 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output});
18 // Phase 3, inputs and outputs
19 model->identifyInputsAndOutputs(
20 {hash, lookup, weight},
21 {output});
22 assert(model->isValid());
23 }
24
is_ignored(int i)25 bool is_ignored(int i) {
26 static std::set<int> ignore = {};
27 return ignore.find(i) != ignore.end();
28 }
29