1 // Generated file (from: conv_float_2.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type3(Type::INT32, {});
4 OperandType type1(Type::TENSOR_FLOAT32, {1, 3, 3, 1});
5 OperandType type0(Type::TENSOR_FLOAT32, {1, 3, 4, 1});
6 OperandType type2(Type::TENSOR_FLOAT32, {1});
7 // Phase 1, operands
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type2);
11 auto pad_same = model->addOperand(&type3);
12 auto act_relu = model->addOperand(&type3);
13 auto stride = model->addOperand(&type3);
14 auto op4 = model->addOperand(&type0);
15 // Phase 2, operations
16 static float op2_init[] = {1.0f, 4.0f, 7.0f, 2.0f, 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
17 model->setOperandValue(op2, op2_init, sizeof(float) * 9);
18 static float op3_init[] = {-200.0f};
19 model->setOperandValue(op3, op3_init, sizeof(float) * 1);
20 static int32_t pad_same_init[] = {1};
21 model->setOperandValue(pad_same, pad_same_init, sizeof(int32_t) * 1);
22 static int32_t act_relu_init[] = {1};
23 model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1);
24 static int32_t stride_init[] = {1};
25 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
26 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_same, stride, stride, act_relu}, {op4});
27 // Phase 3, inputs and outputs
28 model->identifyInputsAndOutputs(
29 {op1},
30 {op4});
31 assert(model->isValid());
32 }
33
is_ignored(int i)34 bool is_ignored(int i) {
35 static std::set<int> ignore = {};
36 return ignore.find(i) != ignore.end();
37 }
38