// Generated from mean_quant8_2.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;

namespace generated_tests::mean_quant8_2 {

const TestModel& get_test_model() {
    static TestModel model = {
        .expectFailure = false,
        .expectedMultinomialDistributionTolerance = 0,
        .isRelaxed = false,
        .main = {
                .inputIndexes = {0},
                .operands = {{ // input
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24}),
                            .dimensions = {4, 3, 2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .numberOfConsumers = 1,
                            .scale = 0.8f,
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .zeroPoint = 5
                        }, { // axis
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<int32_t>({0, 2}),
                            .dimensions = {2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_INT32,
                            .zeroPoint = 0
                        }, { // keepDims
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<int32_t>({1}),
                            .dimensions = {},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .type = TestOperandType::INT32,
                            .zeroPoint = 0
                        }, { // output
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<uint8_t>({10, 12, 14}),
                            .dimensions = {1, 3, 1},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .numberOfConsumers = 0,
                            .scale = 0.8f,
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .zeroPoint = 5
                        }},
                .operations = {{
                            .inputs = {0, 1, 2},
                            .outputs = {3},
                            .type = TestOperationType::MEAN
                        }},
                .outputIndexes = {3}
            },
        .minSupportedVersion = TestHalVersion::V1_1,
        .referenced = {}
    };
    return model;
}

const auto dummy_test_model = TestModelManager::get().add("mean_quant8_2", get_test_model());

}  // namespace generated_tests::mean_quant8_2

namespace generated_tests::mean_quant8_2 {

const TestModel& get_test_model_all_inputs_as_internal() {
    static TestModel model = {
        .expectFailure = false,
        .expectedMultinomialDistributionTolerance = 0,
        .isRelaxed = false,
        .main = {
                .inputIndexes = {4},
                .operands = {{ // input
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<uint8_t>({}),
                            .dimensions = {4, 3, 2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                            .numberOfConsumers = 1,
                            .scale = 0.8f,
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .zeroPoint = 5
                        }, { // axis
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<int32_t>({0, 2}),
                            .dimensions = {2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_INT32,
                            .zeroPoint = 0
                        }, { // keepDims
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<int32_t>({1}),
                            .dimensions = {},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .type = TestOperandType::INT32,
                            .zeroPoint = 0
                        }, { // output
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<uint8_t>({10, 12, 14}),
                            .dimensions = {1, 3, 1},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .numberOfConsumers = 0,
                            .scale = 0.8f,
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .zeroPoint = 5
                        }, { // input_new
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24}),
                            .dimensions = {4, 3, 2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .numberOfConsumers = 1,
                            .scale = 0.8f,
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .zeroPoint = 5
                        }, { // dummy
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<uint8_t>({5}),
                            .dimensions = {1},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .numberOfConsumers = 1,
                            .scale = 0.8f,
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .zeroPoint = 5
                        }, { // param
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<int32_t>({0}),
                            .dimensions = {},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .type = TestOperandType::INT32,
                            .zeroPoint = 0
                        }},
                .operations = {{
                            .inputs = {4, 5, 6},
                            .outputs = {0},
                            .type = TestOperationType::ADD
                        }, {
                            .inputs = {0, 1, 2},
                            .outputs = {3},
                            .type = TestOperationType::MEAN
                        }},
                .outputIndexes = {3}
            },
        .minSupportedVersion = TestHalVersion::V1_1,
        .referenced = {}
    };
    return model;
}

const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("mean_quant8_2_all_inputs_as_internal", get_test_model_all_inputs_as_internal());

}  // namespace generated_tests::mean_quant8_2