1 // clang-format off
2 // Generated file (from: reshape_relaxed.mod.py). Do not edit
CreateModel(Model * model)3 void CreateModel(Model *model) {
4 OperandType type0(Type::TENSOR_FLOAT32, {1, 1, 3, 3});
5 OperandType type1(Type::TENSOR_INT32, {1});
6 OperandType type2(Type::TENSOR_FLOAT32, {9});
7 // Phase 1, operands
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type2);
11 // Phase 2, operations
12 static int32_t op2_init[] = {-1};
13 model->setOperandValue(op2, op2_init, sizeof(int32_t) * 1);
14 model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3});
15 // Phase 3, inputs and outputs
16 model->identifyInputsAndOutputs(
17 {op1},
18 {op3});
19 // Phase 4: set relaxed execution
20 model->relaxComputationFloat32toFloat16(true);
21 assert(model->isValid());
22 }
23
is_ignored(int i)24 inline bool is_ignored(int i) {
25 static std::set<int> ignore = {};
26 return ignore.find(i) != ignore.end();
27 }
28
CreateModel_dynamic_output_shape(Model * model)29 void CreateModel_dynamic_output_shape(Model *model) {
30 OperandType type0(Type::TENSOR_FLOAT32, {1, 1, 3, 3});
31 OperandType type1(Type::TENSOR_INT32, {1});
32 OperandType type3(Type::TENSOR_FLOAT32, {0});
33 // Phase 1, operands
34 auto op1 = model->addOperand(&type0);
35 auto op2 = model->addOperand(&type1);
36 auto op3 = model->addOperand(&type3);
37 // Phase 2, operations
38 static int32_t op2_init[] = {-1};
39 model->setOperandValue(op2, op2_init, sizeof(int32_t) * 1);
40 model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3});
41 // Phase 3, inputs and outputs
42 model->identifyInputsAndOutputs(
43 {op1},
44 {op3});
45 // Phase 4: set relaxed execution
46 model->relaxComputationFloat32toFloat16(true);
47 assert(model->isValid());
48 }
49
is_ignored_dynamic_output_shape(int i)50 inline bool is_ignored_dynamic_output_shape(int i) {
51 static std::set<int> ignore = {};
52 return ignore.find(i) != ignore.end();
53 }
54
55