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// Generated file (from: lsh_projection.mod.py). Do not edit
void CreateModel(Model *model) {
OperandType type3(Type::INT32, {});
OperandType type2(Type::TENSOR_FLOAT32, {3});
OperandType type0(Type::TENSOR_FLOAT32, {4, 2});
OperandType type1(Type::TENSOR_INT32, {3, 2});
OperandType type4(Type::TENSOR_INT32, {8});
// Phase 1, operands
auto hash = model->addOperand(&type0);
auto lookup = model->addOperand(&type1);
auto weight = model->addOperand(&type2);
auto type_param = model->addOperand(&type3);
auto output = model->addOperand(&type4);
// Phase 2, operations
static float hash_init[] = {0.123f, 0.456f, -0.321f, -0.654f, 1.234f, 5.678f, -4.321f, -8.765f};
model->setOperandValue(hash, hash_init, sizeof(float) * 8);
static int32_t type_param_init[] = {2};
model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1);
model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{lookup, weight},
{output});
assert(model->isValid());
}
bool is_ignored(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
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