1 // Generated file (from: depthwise_conv_2d.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type2(Type::INT32, {});
4 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 2});
5 OperandType type1(Type::TENSOR_FLOAT32, {2});
6 // Phase 1, operands
7 auto op1 = model->addOperand(&type0);
8 auto op2 = model->addOperand(&type0);
9 auto op3 = model->addOperand(&type1);
10 auto pad0 = model->addOperand(&type2);
11 auto act = model->addOperand(&type2);
12 auto stride = model->addOperand(&type2);
13 auto channelMultiplier = model->addOperand(&type2);
14 auto op4 = model->addOperand(&type1);
15 // Phase 2, operations
16 static int32_t pad0_init[] = {0};
17 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
18 static int32_t act_init[] = {0};
19 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
20 static int32_t stride_init[] = {1};
21 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
22 static int32_t channelMultiplier_init[] = {1};
23 model->setOperandValue(channelMultiplier, channelMultiplier_init, sizeof(int32_t) * 1);
24 model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, channelMultiplier, act}, {op4});
25 // Phase 3, inputs and outputs
26 model->identifyInputsAndOutputs(
27 {op1, op2, op3},
28 {op4});
29 assert(model->isValid());
30 }
31
is_ignored(int i)32 bool is_ignored(int i) {
33 static std::set<int> ignore = {};
34 return ignore.find(i) != ignore.end();
35 }
36