// Generated from conv_quant8_overflow.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;  // NOLINT(google-build-using-namespace)

namespace generated_tests::conv_quant8_overflow {

const TestModel& get_test_model() {
    static TestModel model = {
        .main = {
                .operands = {{ // op1
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {1, 2, 3, 3},
                            .numberOfConsumers = 1,
                            .scale = 0.5f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18})
                        }, { // op2
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {3, 1, 1, 3},
                            .numberOfConsumers = 1,
                            .scale = 0.5f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({10, 40, 70, 20, 50, 80, 30, 60, 90})
                        }, { // op3
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {3},
                            .numberOfConsumers = 1,
                            .scale = 0.25f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({0, 0, 0})
                        }, { // pad0
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 4,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({0})
                        }, { // stride
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 2,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({1})
                        }, { // act
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({0})
                        }, { // op4
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {1, 2, 3, 3},
                            .numberOfConsumers = 0,
                            .scale = 1.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({75, 90, 105, 165, 203, 240, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255})
                        }},
                .operations = {{
                            .type = TestOperationType::CONV_2D,
                            .inputs = {0, 1, 2, 3, 3, 3, 3, 4, 4, 5},
                            .outputs = {6}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {6}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_0
    };
    return model;
}

const auto dummy_test_model = TestModelManager::get().add("conv_quant8_overflow", get_test_model());

}  // namespace generated_tests::conv_quant8_overflow

namespace generated_tests::conv_quant8_overflow {

const TestModel& get_test_model_all_inputs_as_internal() {
    static TestModel model = {
        .main = {
                .operands = {{ // op1
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {1, 2, 3, 3},
                            .numberOfConsumers = 1,
                            .scale = 0.5f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({})
                        }, { // op2
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {3, 1, 1, 3},
                            .numberOfConsumers = 1,
                            .scale = 0.5f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({10, 40, 70, 20, 50, 80, 30, 60, 90})
                        }, { // op3
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {3},
                            .numberOfConsumers = 1,
                            .scale = 0.25f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({0, 0, 0})
                        }, { // pad0
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 4,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({0})
                        }, { // stride
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 2,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({1})
                        }, { // act
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({0})
                        }, { // op4
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {1, 2, 3, 3},
                            .numberOfConsumers = 0,
                            .scale = 1.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({75, 90, 105, 165, 203, 240, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255})
                        }, { // op1_new
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {1, 2, 3, 3},
                            .numberOfConsumers = 1,
                            .scale = 0.5f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18})
                        }, { // placeholder
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {1},
                            .numberOfConsumers = 1,
                            .scale = 0.5f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({0})
                        }, { // 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 = {7, 8, 9},
                            .outputs = {0}
                        }, {
                            .type = TestOperationType::CONV_2D,
                            .inputs = {0, 1, 2, 3, 3, 3, 3, 4, 4, 5},
                            .outputs = {6}
                        }},
                .inputIndexes = {7},
                .outputIndexes = {6}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_0
    };
    return model;
}

const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("conv_quant8_overflow_all_inputs_as_internal", get_test_model_all_inputs_as_internal());

}  // namespace generated_tests::conv_quant8_overflow

namespace generated_tests::conv_quant8_overflow {

const TestModel& get_test_model_all_tensors_as_inputs() {
    static TestModel model = {
        .main = {
                .operands = {{ // op1
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {1, 2, 3, 3},
                            .numberOfConsumers = 1,
                            .scale = 0.5f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18})
                        }, { // op2
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {3, 1, 1, 3},
                            .numberOfConsumers = 1,
                            .scale = 0.5f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({10, 40, 70, 20, 50, 80, 30, 60, 90})
                        }, { // op3
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {3},
                            .numberOfConsumers = 1,
                            .scale = 0.25f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({0, 0, 0})
                        }, { // pad0
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 4,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({0})
                        }, { // stride
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 2,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({1})
                        }, { // act
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({0})
                        }, { // op4
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {1, 2, 3, 3},
                            .numberOfConsumers = 0,
                            .scale = 1.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({75, 90, 105, 165, 203, 240, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255})
                        }},
                .operations = {{
                            .type = TestOperationType::CONV_2D,
                            .inputs = {0, 1, 2, 3, 3, 3, 3, 4, 4, 5},
                            .outputs = {6}
                        }},
                .inputIndexes = {0, 1, 2},
                .outputIndexes = {6}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_0
    };
    return model;
}

const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("conv_quant8_overflow_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs());

}  // namespace generated_tests::conv_quant8_overflow

namespace generated_tests::conv_quant8_overflow {

const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() {
    static TestModel model = {
        .main = {
                .operands = {{ // op1
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {1, 2, 3, 3},
                            .numberOfConsumers = 1,
                            .scale = 0.5f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({})
                        }, { // op2
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {3, 1, 1, 3},
                            .numberOfConsumers = 1,
                            .scale = 0.5f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({})
                        }, { // op3
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {3},
                            .numberOfConsumers = 1,
                            .scale = 0.25f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({0, 0, 0})
                        }, { // pad0
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 4,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({0})
                        }, { // stride
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 2,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({1})
                        }, { // act
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({0})
                        }, { // op4
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {1, 2, 3, 3},
                            .numberOfConsumers = 0,
                            .scale = 1.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({75, 90, 105, 165, 203, 240, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255})
                        }, { // op1_new
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {1, 2, 3, 3},
                            .numberOfConsumers = 1,
                            .scale = 0.5f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18})
                        }, { // placeholder1
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {1},
                            .numberOfConsumers = 1,
                            .scale = 0.5f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({0})
                        }, { // 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})
                        }, { // op2_new
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {3, 1, 1, 3},
                            .numberOfConsumers = 1,
                            .scale = 0.5f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({10, 40, 70, 20, 50, 80, 30, 60, 90})
                        }, { // placeholder2
                            .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                            .dimensions = {1},
                            .numberOfConsumers = 1,
                            .scale = 0.5f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<uint8_t>({0})
                        }, { // 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 = {7, 8, 9},
                            .outputs = {0}
                        }, {
                            .type = TestOperationType::ADD,
                            .inputs = {10, 11, 12},
                            .outputs = {1}
                        }, {
                            .type = TestOperationType::CONV_2D,
                            .inputs = {0, 1, 2, 3, 3, 3, 3, 4, 4, 5},
                            .outputs = {6}
                        }},
                .inputIndexes = {2, 7, 10},
                .outputIndexes = {6}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_0
    };
    return model;
}

const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("conv_quant8_overflow_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal());

}  // namespace generated_tests::conv_quant8_overflow