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

namespace generated_tests::squeeze {

const TestModel& get_test_model() {
    static TestModel model = {
        .expectFailure = false,
        .expectedMultinomialDistributionTolerance = 0,
        .isRelaxed = false,
        .main = {
                .inputIndexes = {0},
                .operands = {{ // input
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<float>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}),
                            .dimensions = {4, 1, 1, 2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .zeroPoint = 0
                        }, { // squeezeDims
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<int32_t>({1, 2}),
                            .dimensions = {2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_INT32,
                            .zeroPoint = 0
                        }, { // output
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<float>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}),
                            .dimensions = {4, 2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .zeroPoint = 0
                        }},
                .operations = {{
                            .inputs = {0, 1},
                            .outputs = {2},
                            .type = TestOperationType::SQUEEZE
                        }},
                .outputIndexes = {2}
            },
        .minSupportedVersion = TestHalVersion::V1_1,
        .referenced = {}
    };
    return model;
}

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

}  // namespace generated_tests::squeeze

namespace generated_tests::squeeze {

const TestModel& get_test_model_all_inputs_as_internal() {
    static TestModel model = {
        .expectFailure = false,
        .expectedMultinomialDistributionTolerance = 0,
        .isRelaxed = false,
        .main = {
                .inputIndexes = {3},
                .operands = {{ // input
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<float>({}),
                            .dimensions = {4, 1, 1, 2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .zeroPoint = 0
                        }, { // squeezeDims
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<int32_t>({1, 2}),
                            .dimensions = {2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_INT32,
                            .zeroPoint = 0
                        }, { // output
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<float>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}),
                            .dimensions = {4, 2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .zeroPoint = 0
                        }, { // input_new
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<float>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}),
                            .dimensions = {4, 1, 1, 2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .zeroPoint = 0
                        }, { // placeholder
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<float>({0.0f}),
                            .dimensions = {1},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .zeroPoint = 0
                        }, { // 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 = {3, 4, 5},
                            .outputs = {0},
                            .type = TestOperationType::ADD
                        }, {
                            .inputs = {0, 1},
                            .outputs = {2},
                            .type = TestOperationType::SQUEEZE
                        }},
                .outputIndexes = {2}
            },
        .minSupportedVersion = TestHalVersion::V1_1,
        .referenced = {}
    };
    return model;
}

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

}  // namespace generated_tests::squeeze

namespace generated_tests::squeeze {

const TestModel& get_test_model_all_tensors_as_inputs() {
    static TestModel model = {
        .expectFailure = false,
        .expectedMultinomialDistributionTolerance = 0,
        .isRelaxed = false,
        .main = {
                .inputIndexes = {0, 1},
                .operands = {{ // input
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<float>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}),
                            .dimensions = {4, 1, 1, 2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .zeroPoint = 0
                        }, { // squeezeDims
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<int32_t>({1, 2}),
                            .dimensions = {2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_INT32,
                            .zeroPoint = 0
                        }, { // output
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<float>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}),
                            .dimensions = {4, 2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .zeroPoint = 0
                        }},
                .operations = {{
                            .inputs = {0, 1},
                            .outputs = {2},
                            .type = TestOperationType::SQUEEZE
                        }},
                .outputIndexes = {2}
            },
        .minSupportedVersion = TestHalVersion::V1_1,
        .referenced = {}
    };
    return model;
}

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

}  // namespace generated_tests::squeeze

namespace generated_tests::squeeze {

const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() {
    static TestModel model = {
        .expectFailure = false,
        .expectedMultinomialDistributionTolerance = 0,
        .isRelaxed = false,
        .main = {
                .inputIndexes = {1, 3},
                .operands = {{ // input
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<float>({}),
                            .dimensions = {4, 1, 1, 2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .zeroPoint = 0
                        }, { // squeezeDims
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<int32_t>({1, 2}),
                            .dimensions = {2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_INT32,
                            .zeroPoint = 0
                        }, { // output
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<float>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}),
                            .dimensions = {4, 2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .zeroPoint = 0
                        }, { // input_new
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<float>({1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}),
                            .dimensions = {4, 1, 1, 2},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .zeroPoint = 0
                        }, { // placeholder1
                            .channelQuant = {},
                            .data = TestBuffer::createFromVector<float>({0.0f}),
                            .dimensions = {1},
                            .isIgnored = false,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .zeroPoint = 0
                        }, { // param1
                            .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 = {3, 4, 5},
                            .outputs = {0},
                            .type = TestOperationType::ADD
                        }, {
                            .inputs = {0, 1},
                            .outputs = {2},
                            .type = TestOperationType::SQUEEZE
                        }},
                .outputIndexes = {2}
            },
        .minSupportedVersion = TestHalVersion::V1_1,
        .referenced = {}
    };
    return model;
}

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

}  // namespace generated_tests::squeeze