// Generated from lsh_projection.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 {

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>({0.12f, 0.34f, 0.56f})
                        }, { // 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>({2})
                        }, { // output
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {8},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({1, 1, 1, 0, 1, 1, 1, 0})
                        }},
                .operations = {{
                            .type = TestOperationType::LSH_PROJECTION,
                            .inputs = {0, 1, 2, 3},
                            .outputs = {4}
                        }},
                .inputIndexes = {1, 2},
                .outputIndexes = {4}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_0
    };
    return model;
}

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

}  // namespace generated_tests::lsh_projection

namespace generated_tests::lsh_projection {

const TestModel& get_test_model_all_inputs_as_internal() {
    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::TEMPORARY_VARIABLE,
                            .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>({2})
                        }, { // output
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {8},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({1, 1, 1, 0, 1, 1, 1, 0})
                        }, { // weight_new
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {3},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.12f, 0.34f, 0.56f})
                        }, { // placeholder
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f})
                        }, { // 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 = {5, 6, 7},
                            .outputs = {2}
                        }, {
                            .type = TestOperationType::LSH_PROJECTION,
                            .inputs = {0, 1, 2, 3},
                            .outputs = {4}
                        }},
                .inputIndexes = {1, 5},
                .outputIndexes = {4}
            },
        .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("lsh_projection_all_inputs_as_internal", get_test_model_all_inputs_as_internal());

}  // namespace generated_tests::lsh_projection

namespace generated_tests::lsh_projection {

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>({0.12f, 0.34f, 0.56f})
                        }, { // 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>({2})
                        }, { // output
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {8},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({1, 1, 1, 0, 1, 1, 1, 0})
                        }},
                .operations = {{
                            .type = TestOperationType::LSH_PROJECTION,
                            .inputs = {0, 1, 2, 3},
                            .outputs = {4}
                        }},
                .inputIndexes = {0, 1, 2},
                .outputIndexes = {4}
            },
        .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("lsh_projection_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs());

}  // namespace generated_tests::lsh_projection

namespace generated_tests::lsh_projection {

const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() {
    static TestModel model = {
        .main = {
                .operands = {{ // hash
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {4, 2},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({})
                        }, { // 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::TEMPORARY_VARIABLE,
                            .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>({2})
                        }, { // output
                            .type = TestOperandType::TENSOR_INT32,
                            .dimensions = {8},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({1, 1, 1, 0, 1, 1, 1, 0})
                        }, { // hash_new
                            .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})
                        }, { // placeholder1
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f})
                        }, { // 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})
                        }, { // weight_new
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {3},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.12f, 0.34f, 0.56f})
                        }, { // placeholder2
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f})
                        }, { // 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 = {5, 6, 7},
                            .outputs = {0}
                        }, {
                            .type = TestOperationType::ADD,
                            .inputs = {8, 9, 10},
                            .outputs = {2}
                        }, {
                            .type = TestOperationType::LSH_PROJECTION,
                            .inputs = {0, 1, 2, 3},
                            .outputs = {4}
                        }},
                .inputIndexes = {1, 5, 8},
                .outputIndexes = {4}
            },
        .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("lsh_projection_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal());

}  // namespace generated_tests::lsh_projection