1 // Generated file (from: conv_float_relaxed.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, 2, 2, 1});
5 OperandType type0(Type::TENSOR_FLOAT32, {1, 3, 3, 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 pad0 = model->addOperand(&type3);
12 auto act = model->addOperand(&type3);
13 auto stride = model->addOperand(&type3);
14 auto op4 = model->addOperand(&type1);
15 // Phase 2, operations
16 static float op2_init[] = {0.25f, 0.25f, 0.25f, 0.25f};
17 model->setOperandValue(op2, op2_init, sizeof(float) * 4);
18 static float op3_init[] = {0.0f};
19 model->setOperandValue(op3, op3_init, sizeof(float) * 1);
20 static int32_t pad0_init[] = {0};
21 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
22 static int32_t act_init[] = {0};
23 model->setOperandValue(act, act_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, pad0, pad0, pad0, pad0, stride, stride, act}, {op4});
27 // Phase 3, inputs and outputs
28 model->identifyInputsAndOutputs(
29 {op1},
30 {op4});
31 // Phase 4: set relaxed execution
32 model->relaxComputationFloat32toFloat16(true);
33 assert(model->isValid());
34 }
35
is_ignored(int i)36 bool is_ignored(int i) {
37 static std::set<int> ignore = {};
38 return ignore.find(i) != ignore.end();
39 }
40