1 // Generated file (from: fully_connected_float_4d_simple_relaxed.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type4(Type::INT32, {});
4 OperandType type3(Type::TENSOR_FLOAT32, {2, 3});
5 OperandType type1(Type::TENSOR_FLOAT32, {3, 10});
6 OperandType type2(Type::TENSOR_FLOAT32, {3});
7 OperandType type0(Type::TENSOR_FLOAT32, {4, 1, 5, 1});
8 // Phase 1, operands
9 auto op1 = model->addOperand(&type0);
10 auto op2 = model->addOperand(&type1);
11 auto b0 = model->addOperand(&type2);
12 auto op3 = model->addOperand(&type3);
13 auto act = model->addOperand(&type4);
14 // Phase 2, operations
15 static float op2_init[] = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f};
16 model->setOperandValue(op2, op2_init, sizeof(float) * 30);
17 static float b0_init[] = {1.0f, 2.0f, 3.0f};
18 model->setOperandValue(b0, b0_init, sizeof(float) * 3);
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 // Phase 4: set relaxed execution
27 model->relaxComputationFloat32toFloat16(true);
28 assert(model->isValid());
29 }
30
is_ignored(int i)31 bool is_ignored(int i) {
32 static std::set<int> ignore = {};
33 return ignore.find(i) != ignore.end();
34 }
35