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      1 // clang-format off
      2 // Generated file (from: random_multinomial_float16.mod.py). Do not edit
      3 void CreateModel(Model *model) {
      4   OperandType type0(Type::TENSOR_FLOAT16, {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 
     26 inline bool is_ignored(int i) {
     27   static std::set<int> ignore = {0};
     28   return ignore.find(i) != ignore.end();
     29 }
     30 
     31 void CreateModel_dynamic_output_shape(Model *model) {
     32   OperandType type0(Type::TENSOR_FLOAT16, {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 
     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