1 // Generated file (from: fully_connected_quant8_large_weights_as_inputs.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type3(Type::INT32, {});
4 OperandType type1(Type::TENSOR_INT32, {1}, 0.04, 0);
5 OperandType type2(Type::TENSOR_QUANT8_ASYMM, {1, 1}, 1.f, 0);
6 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 5}, 0.2, 0);
7 // Phase 1, operands
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type0);
10 auto b0 = model->addOperand(&type1);
11 auto op3 = model->addOperand(&type2);
12 auto act = model->addOperand(&type3);
13 // Phase 2, operations
14 static int32_t act_init[] = {0};
15 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
17 // Phase 3, inputs and outputs
18 model->identifyInputsAndOutputs(
19 {op1, op2, b0},
20 {op3});
21 assert(model->isValid());
22 }
23
is_ignored(int i)24 bool is_ignored(int i) {
25 static std::set<int> ignore = {};
26 return ignore.find(i) != ignore.end();
27 }
28