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

namespace generated_tests::lsh_projection_deprecated {

const TestModel& get_test_model() {
    static TestModel model = {
        .main = {
                .operands = {{ // hash
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {4, 2},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.123f, 0.456f, -0.321f, -0.654f, 1.234f, 5.678f, -4.321f, -8.765f})
                        }, { // lookup
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {3, 2},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({12345, 54321, 67890, 9876, -12345678, -87654321})
                        }, { // weight
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {3},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({})
                        }, { // type_param
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({1})
                        }, { // output
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {4},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({1, 2, 2, 0})
                        }},
                .operations = {{
                            .type = TestOperationType::LSH_PROJECTION,
                            .inputs = {0, 1, 2, 3},
                            .outputs = {4}
                        }},
                .inputIndexes = {1, 2},
                .outputIndexes = {4}
            },
        .referenced = {},
        .isRelaxed = true,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::UNKNOWN
    };
    return model;
}

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

}  // namespace generated_tests::lsh_projection_deprecated

namespace generated_tests::lsh_projection_deprecated {

const TestModel& get_test_model_all_tensors_as_inputs() {
    static TestModel model = {
        .main = {
                .operands = {{ // hash
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {4, 2},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.123f, 0.456f, -0.321f, -0.654f, 1.234f, 5.678f, -4.321f, -8.765f})
                        }, { // lookup
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {3, 2},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({12345, 54321, 67890, 9876, -12345678, -87654321})
                        }, { // weight
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {3},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({})
                        }, { // type_param
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({1})
                        }, { // output
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {4},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({1, 2, 2, 0})
                        }},
                .operations = {{
                            .type = TestOperationType::LSH_PROJECTION,
                            .inputs = {0, 1, 2, 3},
                            .outputs = {4}
                        }},
                .inputIndexes = {0, 1, 2},
                .outputIndexes = {4}
            },
        .referenced = {},
        .isRelaxed = true,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::UNKNOWN
    };
    return model;
}

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

}  // namespace generated_tests::lsh_projection_deprecated