1 // clang-format off
2 // Generated file (from: random_multinomial.mod.py). Do not edit
CreateModel(Model * model)3 void CreateModel(Model *model) {
4 OperandType type0(Type::TENSOR_FLOAT32, {1, 1024});
5 OperandType type1(Type::INT32, {});
6 OperandType type2(Type::TENSOR_INT32, {2});
7 OperandType type3(Type::TENSOR_INT32, {1, 128});
8 // Phase 1, operands
9 auto input0 = model->addOperand(&type0);
10 auto sample_count = model->addOperand(&type1);
11 auto seeds = model->addOperand(&type2);
12 auto output = model->addOperand(&type3);
13 // Phase 2, operations
14 static int32_t sample_count_init[] = {128};
15 model->setOperandValue(sample_count, sample_count_init, sizeof(int32_t) * 1);
16 static int32_t seeds_init[] = {37, 42};
17 model->setOperandValue(seeds, seeds_init, sizeof(int32_t) * 2);
18 model->addOperation(ANEURALNETWORKS_RANDOM_MULTINOMIAL, {input0, sample_count, seeds}, {output});
19 // Phase 3, inputs and outputs
20 model->identifyInputsAndOutputs(
21 {input0},
22 {output});
23 assert(model->isValid());
24 }
25
is_ignored(int i)26 inline bool is_ignored(int i) {
27 static std::set<int> ignore = {0};
28 return ignore.find(i) != ignore.end();
29 }
30
CreateModel_dynamic_output_shape(Model * model)31 void CreateModel_dynamic_output_shape(Model *model) {
32 OperandType type0(Type::TENSOR_FLOAT32, {1, 1024});
33 OperandType type1(Type::INT32, {});
34 OperandType type2(Type::TENSOR_INT32, {2});
35 OperandType type4(Type::TENSOR_INT32, {0, 0});
36 // Phase 1, operands
37 auto input0 = model->addOperand(&type0);
38 auto sample_count = model->addOperand(&type1);
39 auto seeds = model->addOperand(&type2);
40 auto output = model->addOperand(&type4);
41 // Phase 2, operations
42 static int32_t sample_count_init[] = {128};
43 model->setOperandValue(sample_count, sample_count_init, sizeof(int32_t) * 1);
44 static int32_t seeds_init[] = {37, 42};
45 model->setOperandValue(seeds, seeds_init, sizeof(int32_t) * 2);
46 model->addOperation(ANEURALNETWORKS_RANDOM_MULTINOMIAL, {input0, sample_count, seeds}, {output});
47 // Phase 3, inputs and outputs
48 model->identifyInputsAndOutputs(
49 {input0},
50 {output});
51 assert(model->isValid());
52 }
53
is_ignored_dynamic_output_shape(int i)54 inline bool is_ignored_dynamic_output_shape(int i) {
55 static std::set<int> ignore = {0};
56 return ignore.find(i) != ignore.end();
57 }
58
59