// Generated from l2_normalization_zeros.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;  // NOLINT(google-build-using-namespace)

namespace generated_tests::l2_normalization_zeros {

const TestModel& get_test_model() {
    static TestModel model = {
        .main = {
                .operands = {{ // op1
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {2},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f, 0.0f})
                        }, { // axis
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-1})
                        }, { // op2
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {2},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f, 0.0f})
                        }},
                .operations = {{
                            .type = TestOperationType::L2_NORMALIZATION,
                            .inputs = {0, 1},
                            .outputs = {2}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {2}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_2
    };
    return model;
}

const auto dummy_test_model = TestModelManager::get().add("l2_normalization_zeros", get_test_model());

}  // namespace generated_tests::l2_normalization_zeros

namespace generated_tests::l2_normalization_zeros {

const TestModel& get_test_model_all_inputs_as_internal() {
    static TestModel model = {
        .main = {
                .operands = {{ // op1
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {2},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({})
                        }, { // axis
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-1})
                        }, { // op2
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {2},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f, 0.0f})
                        }, { // op1_new
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {2},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f, 0.0f})
                        }, { // placeholder
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f})
                        }, { // param
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({0})
                        }},
                .operations = {{
                            .type = TestOperationType::ADD,
                            .inputs = {3, 4, 5},
                            .outputs = {0}
                        }, {
                            .type = TestOperationType::L2_NORMALIZATION,
                            .inputs = {0, 1},
                            .outputs = {2}
                        }},
                .inputIndexes = {3},
                .outputIndexes = {2}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_2
    };
    return model;
}

const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("l2_normalization_zeros_all_inputs_as_internal", get_test_model_all_inputs_as_internal());

}  // namespace generated_tests::l2_normalization_zeros

namespace generated_tests::l2_normalization_zeros {

const TestModel& get_test_model_relaxed() {
    static TestModel model = {
        .main = {
                .operands = {{ // op1
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {2},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f, 0.0f})
                        }, { // axis
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-1})
                        }, { // op2
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {2},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f, 0.0f})
                        }},
                .operations = {{
                            .type = TestOperationType::L2_NORMALIZATION,
                            .inputs = {0, 1},
                            .outputs = {2}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {2}
            },
        .referenced = {},
        .isRelaxed = true,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::UNKNOWN
    };
    return model;
}

const auto dummy_test_model_relaxed = TestModelManager::get().add("l2_normalization_zeros_relaxed", get_test_model_relaxed());

}  // namespace generated_tests::l2_normalization_zeros

namespace generated_tests::l2_normalization_zeros {

const TestModel& get_test_model_relaxed_all_inputs_as_internal() {
    static TestModel model = {
        .main = {
                .operands = {{ // op1
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {2},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({})
                        }, { // axis
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-1})
                        }, { // op2
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {2},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f, 0.0f})
                        }, { // op1_new
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {2},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f, 0.0f})
                        }, { // placeholder1
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f})
                        }, { // param1
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({0})
                        }},
                .operations = {{
                            .type = TestOperationType::ADD,
                            .inputs = {3, 4, 5},
                            .outputs = {0}
                        }, {
                            .type = TestOperationType::L2_NORMALIZATION,
                            .inputs = {0, 1},
                            .outputs = {2}
                        }},
                .inputIndexes = {3},
                .outputIndexes = {2}
            },
        .referenced = {},
        .isRelaxed = true,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::UNKNOWN
    };
    return model;
}

const auto dummy_test_model_relaxed_all_inputs_as_internal = TestModelManager::get().add("l2_normalization_zeros_relaxed_all_inputs_as_internal", get_test_model_relaxed_all_inputs_as_internal());

}  // namespace generated_tests::l2_normalization_zeros

namespace generated_tests::l2_normalization_zeros {

const TestModel& get_test_model_float16() {
    static TestModel model = {
        .main = {
                .operands = {{ // op1
                            .type = TestOperandType::TENSOR_FLOAT16,
                            .dimensions = {2},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f})
                        }, { // axis
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-1})
                        }, { // op2
                            .type = TestOperandType::TENSOR_FLOAT16,
                            .dimensions = {2},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f})
                        }},
                .operations = {{
                            .type = TestOperationType::L2_NORMALIZATION,
                            .inputs = {0, 1},
                            .outputs = {2}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {2}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_2
    };
    return model;
}

const auto dummy_test_model_float16 = TestModelManager::get().add("l2_normalization_zeros_float16", get_test_model_float16());

}  // namespace generated_tests::l2_normalization_zeros

namespace generated_tests::l2_normalization_zeros {

const TestModel& get_test_model_float16_all_inputs_as_internal() {
    static TestModel model = {
        .main = {
                .operands = {{ // op1
                            .type = TestOperandType::TENSOR_FLOAT16,
                            .dimensions = {2},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({})
                        }, { // axis
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-1})
                        }, { // op2
                            .type = TestOperandType::TENSOR_FLOAT16,
                            .dimensions = {2},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f})
                        }, { // op1_new
                            .type = TestOperandType::TENSOR_FLOAT16,
                            .dimensions = {2},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f})
                        }, { // placeholder2
                            .type = TestOperandType::TENSOR_FLOAT16,
                            .dimensions = {1},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({0.0f})
                        }, { // param2
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({0})
                        }},
                .operations = {{
                            .type = TestOperationType::ADD,
                            .inputs = {3, 4, 5},
                            .outputs = {0}
                        }, {
                            .type = TestOperationType::L2_NORMALIZATION,
                            .inputs = {0, 1},
                            .outputs = {2}
                        }},
                .inputIndexes = {3},
                .outputIndexes = {2}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_2
    };
    return model;
}

const auto dummy_test_model_float16_all_inputs_as_internal = TestModelManager::get().add("l2_normalization_zeros_float16_all_inputs_as_internal", get_test_model_float16_all_inputs_as_internal());

}  // namespace generated_tests::l2_normalization_zeros

namespace generated_tests::l2_normalization_zeros {

const TestModel& get_test_model_quant8() {
    static TestModel model = {
        .main = {
                .operands = {{ // op1
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {2},
                            .numberOfConsumers = 1,
                            .scale = 0.1f,
                            .zeroPoint = 32,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({32, 32})
                        }, { // axis
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-1})
                        }, { // op2
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {2},
                            .numberOfConsumers = 0,
                            .scale = 0.0078125f,
                            .zeroPoint = 128,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({128, 128})
                        }},
                .operations = {{
                            .type = TestOperationType::L2_NORMALIZATION,
                            .inputs = {0, 1},
                            .outputs = {2}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {2}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_2
    };
    return model;
}

const auto dummy_test_model_quant8 = TestModelManager::get().add("l2_normalization_zeros_quant8", get_test_model_quant8());

}  // namespace generated_tests::l2_normalization_zeros

namespace generated_tests::l2_normalization_zeros {

const TestModel& get_test_model_quant8_all_inputs_as_internal() {
    static TestModel model = {
        .main = {
                .operands = {{ // op1
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {2},
                            .numberOfConsumers = 1,
                            .scale = 0.1f,
                            .zeroPoint = 32,
                            .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({})
                        }, { // axis
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-1})
                        }, { // op2
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {2},
                            .numberOfConsumers = 0,
                            .scale = 0.0078125f,
                            .zeroPoint = 128,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({128, 128})
                        }, { // op1_new
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {2},
                            .numberOfConsumers = 1,
                            .scale = 0.1f,
                            .zeroPoint = 32,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({32, 32})
                        }, { // placeholder3
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {1},
                            .numberOfConsumers = 1,
                            .scale = 0.1f,
                            .zeroPoint = 32,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({32})
                        }, { // param3
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({0})
                        }},
                .operations = {{
                            .type = TestOperationType::ADD,
                            .inputs = {3, 4, 5},
                            .outputs = {0}
                        }, {
                            .type = TestOperationType::L2_NORMALIZATION,
                            .inputs = {0, 1},
                            .outputs = {2}
                        }},
                .inputIndexes = {3},
                .outputIndexes = {2}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_2
    };
    return model;
}

const auto dummy_test_model_quant8_all_inputs_as_internal = TestModelManager::get().add("l2_normalization_zeros_quant8_all_inputs_as_internal", get_test_model_quant8_all_inputs_as_internal());

}  // namespace generated_tests::l2_normalization_zeros

namespace generated_tests::l2_normalization_zeros {

const TestModel& get_test_model_quant8_signed() {
    static TestModel model = {
        .main = {
                .operands = {{ // op1
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
                            .dimensions = {2},
                            .numberOfConsumers = 1,
                            .scale = 0.1f,
                            .zeroPoint = -96,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int8_t>({-96, -96})
                        }, { // axis
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-1})
                        }, { // op2
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
                            .dimensions = {2},
                            .numberOfConsumers = 0,
                            .scale = 0.0078125f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int8_t>({0, 0})
                        }},
                .operations = {{
                            .type = TestOperationType::L2_NORMALIZATION,
                            .inputs = {0, 1},
                            .outputs = {2}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {2}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_3
    };
    return model;
}

const auto dummy_test_model_quant8_signed = TestModelManager::get().add("l2_normalization_zeros_quant8_signed", get_test_model_quant8_signed());

}  // namespace generated_tests::l2_normalization_zeros

namespace generated_tests::l2_normalization_zeros {

const TestModel& get_test_model_quant8_signed_all_inputs_as_internal() {
    static TestModel model = {
        .main = {
                .operands = {{ // op1
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
                            .dimensions = {2},
                            .numberOfConsumers = 1,
                            .scale = 0.1f,
                            .zeroPoint = -96,
                            .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int8_t>({})
                        }, { // axis
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-1})
                        }, { // op2
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
                            .dimensions = {2},
                            .numberOfConsumers = 0,
                            .scale = 0.0078125f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int8_t>({0, 0})
                        }, { // op1_new
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
                            .dimensions = {2},
                            .numberOfConsumers = 1,
                            .scale = 0.1f,
                            .zeroPoint = -96,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int8_t>({-96, -96})
                        }, { // placeholder4
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
                            .dimensions = {1},
                            .numberOfConsumers = 1,
                            .scale = 0.1f,
                            .zeroPoint = -96,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int8_t>({-96})
                        }, { // param4
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({0})
                        }},
                .operations = {{
                            .type = TestOperationType::ADD,
                            .inputs = {3, 4, 5},
                            .outputs = {0}
                        }, {
                            .type = TestOperationType::L2_NORMALIZATION,
                            .inputs = {0, 1},
                            .outputs = {2}
                        }},
                .inputIndexes = {3},
                .outputIndexes = {2}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_3
    };
    return model;
}

const auto dummy_test_model_quant8_signed_all_inputs_as_internal = TestModelManager::get().add("l2_normalization_zeros_quant8_signed_all_inputs_as_internal", get_test_model_quant8_signed_all_inputs_as_internal());

}  // namespace generated_tests::l2_normalization_zeros