1 // clang-format off
2 // Generated file (from: softmax_float_2.mod.py). Do not edit
CreateModel(Model * model)3 void CreateModel(Model *model) {
4 OperandType type0(Type::TENSOR_FLOAT32, {2, 5});
5 OperandType type1(Type::FLOAT32, {});
6 // Phase 1, operands
7 auto input = model->addOperand(&type0);
8 auto beta = model->addOperand(&type1);
9 auto output = model->addOperand(&type0);
10 // Phase 2, operations
11 static float beta_init[] = {1.0f};
12 model->setOperandValue(beta, beta_init, sizeof(float) * 1);
13 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
14 // Phase 3, inputs and outputs
15 model->identifyInputsAndOutputs(
16 {input},
17 {output});
18 assert(model->isValid());
19 }
20
is_ignored(int i)21 inline bool is_ignored(int i) {
22 static std::set<int> ignore = {};
23 return ignore.find(i) != ignore.end();
24 }
25
CreateModel_dynamic_output_shape(Model * model)26 void CreateModel_dynamic_output_shape(Model *model) {
27 OperandType type0(Type::TENSOR_FLOAT32, {2, 5});
28 OperandType type1(Type::FLOAT32, {});
29 OperandType type2(Type::TENSOR_FLOAT32, {0, 0});
30 // Phase 1, operands
31 auto input = model->addOperand(&type0);
32 auto beta = model->addOperand(&type1);
33 auto output = model->addOperand(&type2);
34 // Phase 2, operations
35 static float beta_init[] = {1.0f};
36 model->setOperandValue(beta, beta_init, sizeof(float) * 1);
37 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
38 // Phase 3, inputs and outputs
39 model->identifyInputsAndOutputs(
40 {input},
41 {output});
42 assert(model->isValid());
43 }
44
is_ignored_dynamic_output_shape(int i)45 inline bool is_ignored_dynamic_output_shape(int i) {
46 static std::set<int> ignore = {};
47 return ignore.find(i) != ignore.end();
48 }
49
50