1 // Generated file (from: depthwise_conv_relaxed.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type0(Type::INT32, {});
4 OperandType type2(Type::TENSOR_FLOAT32, {1, 1, 1, 3});
5 OperandType type1(Type::TENSOR_FLOAT32, {1, 8, 8, 3});
6 OperandType type3(Type::TENSOR_FLOAT32, {3});
7 // Phase 1, operands
8 auto b4 = model->addOperand(&type0);
9 auto b5 = model->addOperand(&type0);
10 auto b6 = model->addOperand(&type0);
11 auto b7 = model->addOperand(&type0);
12 auto b8 = model->addOperand(&type0);
13 auto op2 = model->addOperand(&type1);
14 auto op3 = model->addOperand(&type1);
15 auto op0 = model->addOperand(&type2);
16 auto op1 = model->addOperand(&type3);
17 // Phase 2, operations
18 static int32_t b4_init[] = {1};
19 model->setOperandValue(b4, b4_init, sizeof(int32_t) * 1);
20 static int32_t b5_init[] = {1};
21 model->setOperandValue(b5, b5_init, sizeof(int32_t) * 1);
22 static int32_t b6_init[] = {1};
23 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1);
24 static int32_t b7_init[] = {1};
25 model->setOperandValue(b7, b7_init, sizeof(int32_t) * 1);
26 static int32_t b8_init[] = {0};
27 model->setOperandValue(b8, b8_init, sizeof(int32_t) * 1);
28 static float op0_init[] = {-0.966213f, -0.467474f, -0.82203f};
29 model->setOperandValue(op0, op0_init, sizeof(float) * 3);
30 static float op1_init[] = {0.0f, 0.0f, 0.0f};
31 model->setOperandValue(op1, op1_init, sizeof(float) * 3);
32 model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3});
33 // Phase 3, inputs and outputs
34 model->identifyInputsAndOutputs(
35 {op2},
36 {op3});
37 assert(model->isValid());
38 }
39
is_ignored(int i)40 bool is_ignored(int i) {
41 static std::set<int> ignore = {};
42 return ignore.find(i) != ignore.end();
43 }
44