1 // Generated file (from: conv_quant8.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type3(Type::INT32, {});
4 OperandType type2(Type::TENSOR_INT32, {1}, 0.25f, 0);
5 OperandType type1(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 0.5f, 0);
6 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 1.f, 0);
7 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 3, 3, 1}, 0.5f, 0);
8 // Phase 1, operands
9 auto op1 = model->addOperand(&type0);
10 auto op2 = model->addOperand(&type1);
11 auto op3 = model->addOperand(&type2);
12 auto pad0 = model->addOperand(&type3);
13 auto act = model->addOperand(&type3);
14 auto stride = model->addOperand(&type3);
15 auto op4 = model->addOperand(&type4);
16 // Phase 2, operations
17 static uint8_t op2_init[] = {2, 2, 2, 2};
18 model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 4);
19 static int32_t op3_init[] = {4};
20 model->setOperandValue(op3, op3_init, sizeof(int32_t) * 1);
21 static int32_t pad0_init[] = {0};
22 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
23 static int32_t act_init[] = {0};
24 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
25 static int32_t stride_init[] = {1};
26 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
27 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4});
28 // Phase 3, inputs and outputs
29 model->identifyInputsAndOutputs(
30 {op1},
31 {op4});
32 assert(model->isValid());
33 }
34
is_ignored(int i)35 bool is_ignored(int i) {
36 static std::set<int> ignore = {};
37 return ignore.find(i) != ignore.end();
38 }
39