1 // clang-format off
2 // Generated file (from: reshape_quant8_weights_as_inputs.mod.py). Do not edit
CreateModel(Model * model)3 void CreateModel(Model *model) {
4 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 1, 3, 3}, 1.0f, 0);
5 OperandType type1(Type::TENSOR_INT32, {1});
6 OperandType type2(Type::TENSOR_QUANT8_ASYMM, {9}, 1.0f, 0);
7 // Phase 1, operands
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type2);
11 // Phase 2, operations
12 model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3});
13 // Phase 3, inputs and outputs
14 model->identifyInputsAndOutputs(
15 {op1, op2},
16 {op3});
17 assert(model->isValid());
18 }
19
is_ignored(int i)20 inline bool is_ignored(int i) {
21 static std::set<int> ignore = {};
22 return ignore.find(i) != ignore.end();
23 }
24
CreateModel_dynamic_output_shape(Model * model)25 void CreateModel_dynamic_output_shape(Model *model) {
26 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 1, 3, 3}, 1.0f, 0);
27 OperandType type1(Type::TENSOR_INT32, {1});
28 OperandType type3(Type::TENSOR_QUANT8_ASYMM, {0}, 1.0f, 0);
29 // Phase 1, operands
30 auto op1 = model->addOperand(&type0);
31 auto op2 = model->addOperand(&type1);
32 auto op3 = model->addOperand(&type3);
33 // Phase 2, operations
34 model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3});
35 // Phase 3, inputs and outputs
36 model->identifyInputsAndOutputs(
37 {op1, op2},
38 {op3});
39 assert(model->isValid());
40 }
41
is_ignored_dynamic_output_shape(int i)42 inline bool is_ignored_dynamic_output_shape(int i) {
43 static std::set<int> ignore = {};
44 return ignore.find(i) != ignore.end();
45 }
46
47