// Generated from reshape_int32.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;  // NOLINT(google-build-using-namespace)

namespace generated_tests::reshape_int32 {

const TestModel& get_test_model() {
    static TestModel model = {
        .main = {
                .operands = {{ // op1
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {1, 1, 3, 3},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({1, 2, 3, 4, 5, 6, 7, 8, 9})
                        }, { // op2
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {1},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-1})
                        }, { // op3
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {9},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({1, 2, 3, 4, 5, 6, 7, 8, 9})
                        }},
                .operations = {{
                            .type = TestOperationType::RESHAPE,
                            .inputs = {0, 1},
                            .outputs = {2}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {2}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::AIDL_V2
    };
    return model;
}

const auto dummy_test_model = TestModelManager::get().add("reshape_int32", get_test_model());

}  // namespace generated_tests::reshape_int32

namespace generated_tests::reshape_int32 {

const TestModel& get_test_model_all_tensors_as_inputs() {
    static TestModel model = {
        .main = {
                .operands = {{ // op1
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {1, 1, 3, 3},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({1, 2, 3, 4, 5, 6, 7, 8, 9})
                        }, { // op2
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {1},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-1})
                        }, { // op3
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {9},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({1, 2, 3, 4, 5, 6, 7, 8, 9})
                        }},
                .operations = {{
                            .type = TestOperationType::RESHAPE,
                            .inputs = {0, 1},
                            .outputs = {2}
                        }},
                .inputIndexes = {0, 1},
                .outputIndexes = {2}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::AIDL_V2
    };
    return model;
}

const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("reshape_int32_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs());

}  // namespace generated_tests::reshape_int32