1 // clang-format off
2 // Generated file (from: fully_connected_float.mod.py). Do not edit
CreateModel(Model * model)3 void CreateModel(Model *model) {
4 OperandType type0(Type::TENSOR_FLOAT32, {3, 1});
5 OperandType type1(Type::TENSOR_FLOAT32, {1, 1});
6 OperandType type2(Type::TENSOR_FLOAT32, {1});
7 OperandType type3(Type::INT32, {});
8 // Phase 1, operands
9 auto op1 = model->addOperand(&type0);
10 auto op2 = model->addOperand(&type1);
11 auto b0 = model->addOperand(&type2);
12 auto act = model->addOperand(&type3);
13 auto op3 = model->addOperand(&type0);
14 // Phase 2, operations
15 static float op2_init[] = {2.0f};
16 model->setOperandValue(op2, op2_init, sizeof(float) * 1);
17 static float b0_init[] = {4.0f};
18 model->setOperandValue(b0, b0_init, sizeof(float) * 1);
19 static int32_t act_init[] = {0};
20 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
21 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
22 // Phase 3, inputs and outputs
23 model->identifyInputsAndOutputs(
24 {op1},
25 {op3});
26 assert(model->isValid());
27 }
28
is_ignored(int i)29 inline bool is_ignored(int i) {
30 static std::set<int> ignore = {};
31 return ignore.find(i) != ignore.end();
32 }
33
CreateModel_dynamic_output_shape(Model * model)34 void CreateModel_dynamic_output_shape(Model *model) {
35 OperandType type0(Type::TENSOR_FLOAT32, {3, 1});
36 OperandType type1(Type::TENSOR_FLOAT32, {1, 1});
37 OperandType type2(Type::TENSOR_FLOAT32, {1});
38 OperandType type3(Type::INT32, {});
39 OperandType type4(Type::TENSOR_FLOAT32, {0, 0});
40 // Phase 1, operands
41 auto op1 = model->addOperand(&type0);
42 auto op2 = model->addOperand(&type1);
43 auto b0 = model->addOperand(&type2);
44 auto act = model->addOperand(&type3);
45 auto op3 = model->addOperand(&type4);
46 // Phase 2, operations
47 static float op2_init[] = {2.0f};
48 model->setOperandValue(op2, op2_init, sizeof(float) * 1);
49 static float b0_init[] = {4.0f};
50 model->setOperandValue(b0, b0_init, sizeof(float) * 1);
51 static int32_t act_init[] = {0};
52 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
53 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
54 // Phase 3, inputs and outputs
55 model->identifyInputsAndOutputs(
56 {op1},
57 {op3});
58 assert(model->isValid());
59 }
60
is_ignored_dynamic_output_shape(int i)61 inline bool is_ignored_dynamic_output_shape(int i) {
62 static std::set<int> ignore = {};
63 return ignore.find(i) != ignore.end();
64 }
65
66