nn/tools/test_generator/tests/P_vts_full/stdout.txt.expect

// Generated code. Do not edit
// Create the model
Model createTestModel() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 2, 2, 1},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::INT32,
            .dimensions = {},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 0, .length = 4},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 2, 2, 1},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 4, .length = 16},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 2, 2, 1},
            .numberOfConsumers = 0,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .opTuple = {OperationType::ADD,
                        OperandType::TENSOR_FLOAT32},
            .inputs = {0, 2, 1},
            .outputs = {3},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0};
    const std::vector<uint32_t> outputIndexes = {3};
    std::vector<uint8_t> operandValues = {
      0, 0, 0, 0, 0, 0, 160, 64, 0, 0, 192, 64, 0, 0, 224, 64, 0, 0, 0, 65
    };
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}
// Generated file (from: vts_full.mod.py). Do not edit
// Begin of an example
{
//Input(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
  // int -> FLOAT32 map
  {{0, {1.0f, 2.0f, 3.0f, 4.0f}}},
  // int -> INT32 map
  {},
  // int -> QUANT8_ASYMM map
  {}
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
  // int -> FLOAT32 map
  {{0, {6.0f, 8.0f, 10.0f, 12.0f}}},
  // int -> INT32 map
  {},
  // int -> QUANT8_ASYMM map
  {}
}
}, // End of an example