1 // clang-format off
2 // Generated file (from: lsh_projection_2_relaxed.mod.py). Do not edit
CreateModel(Model * model)3 void CreateModel(Model *model) {
4   OperandType type0(Type::TENSOR_FLOAT32, {4, 2});
5   OperandType type1(Type::TENSOR_INT32, {3, 2});
6   OperandType type2(Type::TENSOR_FLOAT32, {3});
7   OperandType type3(Type::INT32, {});
8   OperandType type4(Type::TENSOR_INT32, {4});
9   // Phase 1, operands
10   auto hash = model->addOperand(&type0);
11   auto lookup = model->addOperand(&type1);
12   auto weight = model->addOperand(&type2);
13   auto type_param = model->addOperand(&type3);
14   auto output = model->addOperand(&type4);
15   // Phase 2, operations
16   static float hash_init[] = {0.123f, 0.456f, -0.321f, -0.654f, 1.234f, 5.678f, -4.321f, -8.765f};
17   model->setOperandValue(hash, hash_init, sizeof(float) * 8);
18   static int32_t type_param_init[] = {1};
19   model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1);
20   model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output});
21   // Phase 3, inputs and outputs
22   model->identifyInputsAndOutputs(
23     {lookup, weight},
24     {output});
25   // Phase 4: set relaxed execution
26   model->relaxComputationFloat32toFloat16(true);
27   assert(model->isValid());
28 }
29 
is_ignored(int i)30 inline bool is_ignored(int i) {
31   static std::set<int> ignore = {};
32   return ignore.find(i) != ignore.end();
33 }
34 
CreateModel_dynamic_output_shape(Model * model)35 void CreateModel_dynamic_output_shape(Model *model) {
36   OperandType type0(Type::TENSOR_FLOAT32, {4, 2});
37   OperandType type1(Type::TENSOR_INT32, {3, 2});
38   OperandType type2(Type::TENSOR_FLOAT32, {3});
39   OperandType type3(Type::INT32, {});
40   OperandType type5(Type::TENSOR_INT32, {0});
41   // Phase 1, operands
42   auto hash = model->addOperand(&type0);
43   auto lookup = model->addOperand(&type1);
44   auto weight = model->addOperand(&type2);
45   auto type_param = model->addOperand(&type3);
46   auto output = model->addOperand(&type5);
47   // Phase 2, operations
48   static float hash_init[] = {0.123f, 0.456f, -0.321f, -0.654f, 1.234f, 5.678f, -4.321f, -8.765f};
49   model->setOperandValue(hash, hash_init, sizeof(float) * 8);
50   static int32_t type_param_init[] = {1};
51   model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1);
52   model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output});
53   // Phase 3, inputs and outputs
54   model->identifyInputsAndOutputs(
55     {lookup, weight},
56     {output});
57   // Phase 4: set relaxed execution
58   model->relaxComputationFloat32toFloat16(true);
59   assert(model->isValid());
60 }
61 
is_ignored_dynamic_output_shape(int i)62 inline bool is_ignored_dynamic_output_shape(int i) {
63   static std::set<int> ignore = {};
64   return ignore.find(i) != ignore.end();
65 }
66 
67