1 // Generated file (from: fully_connected_quant8_2.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type4(Type::INT32, {});
4 OperandType type2(Type::TENSOR_INT32, {3}, 0.25f, 0);
5 OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 1.f, 127);
6 OperandType type1(Type::TENSOR_QUANT8_ASYMM, {3, 10}, 0.5f, 127);
7 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {4, 1, 5, 1}, 0.5f, 127);
8 // Phase 1, operands
9 auto op1 = model->addOperand(&type0);
10 auto op2 = model->addOperand(&type1);
11 auto b0 = model->addOperand(&type2);
12 auto op3 = model->addOperand(&type3);
13 auto act_relu = model->addOperand(&type4);
14 // Phase 2, operations
15 static uint8_t op2_init[] = {129, 131, 133, 135, 137, 139, 141, 143, 145, 147, 129, 131, 133, 135, 137, 139, 141, 143, 145, 147, 129, 131, 133, 135, 137, 139, 141, 143, 145, 147};
16 model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 30);
17 static int32_t b0_init[] = {4, 8, 12};
18 model->setOperandValue(b0, b0_init, sizeof(int32_t) * 3);
19 static int32_t act_relu_init[] = {1};
20 model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1);
21 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act_relu}, {op3});
22 // Phase 3, inputs and outputs
23 model->identifyInputsAndOutputs(
24 {op1},
25 {op3});
26 assert(model->isValid());
27 }
28
is_ignored(int i)29 bool is_ignored(int i) {
30 static std::set<int> ignore = {};
31 return ignore.find(i) != ignore.end();
32 }
33