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

namespace generated_tests::log_softmax {

const TestModel& get_test_model() {
    static TestModel model = {
        .main = {
                .operands = {{ // input0
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1, 1, 1, 2, 4},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f, -6.0f, 2.0f, 4.0f, 3.0f, -2.0f, 10.0f, 1.0f})
                        }, { // param
                            .type = TestOperandType::FLOAT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({1.0f})
                        }, { // param1
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({4})
                        }, { // output0
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1, 1, 1, 2, 4},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({-4.14297f, -10.14297f, -2.14297f, -0.142971f, -7.00104f, -12.00104f, -0.00104087f, -9.00104f})
                        }},
                .operations = {{
                            .type = TestOperationType::LOG_SOFTMAX,
                            .inputs = {0, 1, 2},
                            .outputs = {3}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {3}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_2
    };
    return model;
}

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

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

const TestModel& get_test_model_relaxed() {
    static TestModel model = {
        .main = {
                .operands = {{ // input0
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1, 1, 1, 2, 4},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f, -6.0f, 2.0f, 4.0f, 3.0f, -2.0f, 10.0f, 1.0f})
                        }, { // param
                            .type = TestOperandType::FLOAT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({1.0f})
                        }, { // param1
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({4})
                        }, { // output0
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1, 1, 1, 2, 4},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({-4.14297f, -10.14297f, -2.14297f, -0.142971f, -7.00104f, -12.00104f, -0.00104087f, -9.00104f})
                        }},
                .operations = {{
                            .type = TestOperationType::LOG_SOFTMAX,
                            .inputs = {0, 1, 2},
                            .outputs = {3}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {3}
            },
        .referenced = {},
        .isRelaxed = true,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::UNKNOWN
    };
    return model;
}

const auto dummy_test_model_relaxed = TestModelManager::get().add("log_softmax_relaxed", get_test_model_relaxed());

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

const TestModel& get_test_model_float16() {
    static TestModel model = {
        .main = {
                .operands = {{ // input0
                            .type = TestOperandType::TENSOR_FLOAT16,
                            .dimensions = {1, 1, 1, 2, 4},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({0.0f, -6.0f, 2.0f, 4.0f, 3.0f, -2.0f, 10.0f, 1.0f})
                        }, { // param
                            .type = TestOperandType::FLOAT16,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({1.0f})
                        }, { // param1
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({4})
                        }, { // output0
                            .type = TestOperandType::TENSOR_FLOAT16,
                            .dimensions = {1, 1, 1, 2, 4},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({-4.142970085144043f, -10.142970085144043f, -2.142970085144043f, -0.1429709941148758f, -7.001039981842041f, -12.0010404586792f, -0.0010408699745312333f, -9.0010404586792f})
                        }},
                .operations = {{
                            .type = TestOperationType::LOG_SOFTMAX,
                            .inputs = {0, 1, 2},
                            .outputs = {3}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {3}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_2
    };
    return model;
}

const auto dummy_test_model_float16 = TestModelManager::get().add("log_softmax_float16", get_test_model_float16());

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

const TestModel& get_test_model_2() {
    static TestModel model = {
        .main = {
                .operands = {{ // input01
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1, 1, 1, 4, 2},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f, -6.0f, 2.0f, 4.0f, 3.0f, -2.0f, 10.0f, 1.0f})
                        }, { // param2
                            .type = TestOperandType::FLOAT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({1.0f})
                        }, { // param3
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-1})
                        }, { // output01
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1, 1, 1, 4, 2},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({-0.00247565f, -6.00247f, -2.12692f, -0.126928f, -0.00671534f, -5.00671f, -0.000123374f, -9.00012f})
                        }},
                .operations = {{
                            .type = TestOperationType::LOG_SOFTMAX,
                            .inputs = {0, 1, 2},
                            .outputs = {3}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {3}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_2
    };
    return model;
}

const auto dummy_test_model_2 = TestModelManager::get().add("log_softmax_2", get_test_model_2());

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

const TestModel& get_test_model_relaxed_2() {
    static TestModel model = {
        .main = {
                .operands = {{ // input01
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1, 1, 1, 4, 2},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f, -6.0f, 2.0f, 4.0f, 3.0f, -2.0f, 10.0f, 1.0f})
                        }, { // param2
                            .type = TestOperandType::FLOAT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({1.0f})
                        }, { // param3
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-1})
                        }, { // output01
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1, 1, 1, 4, 2},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({-0.00247565f, -6.00247f, -2.12692f, -0.126928f, -0.00671534f, -5.00671f, -0.000123374f, -9.00012f})
                        }},
                .operations = {{
                            .type = TestOperationType::LOG_SOFTMAX,
                            .inputs = {0, 1, 2},
                            .outputs = {3}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {3}
            },
        .referenced = {},
        .isRelaxed = true,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::UNKNOWN
    };
    return model;
}

const auto dummy_test_model_relaxed_2 = TestModelManager::get().add("log_softmax_relaxed_2", get_test_model_relaxed_2());

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

const TestModel& get_test_model_float16_2() {
    static TestModel model = {
        .main = {
                .operands = {{ // input01
                            .type = TestOperandType::TENSOR_FLOAT16,
                            .dimensions = {1, 1, 1, 4, 2},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({0.0f, -6.0f, 2.0f, 4.0f, 3.0f, -2.0f, 10.0f, 1.0f})
                        }, { // param2
                            .type = TestOperandType::FLOAT16,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({1.0f})
                        }, { // param3
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-1})
                        }, { // output01
                            .type = TestOperandType::TENSOR_FLOAT16,
                            .dimensions = {1, 1, 1, 4, 2},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({-0.0024756500497460365f, -6.002470016479492f, -2.126919984817505f, -0.12692800164222717f, -0.006715340074151754f, -5.006710052490234f, -0.00012337400403339416f, -9.000120162963867f})
                        }},
                .operations = {{
                            .type = TestOperationType::LOG_SOFTMAX,
                            .inputs = {0, 1, 2},
                            .outputs = {3}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {3}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_2
    };
    return model;
}

const auto dummy_test_model_float16_2 = TestModelManager::get().add("log_softmax_float16_2", get_test_model_float16_2());

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

const TestModel& get_test_model_3() {
    static TestModel model = {
        .main = {
                .operands = {{ // input02
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1, 1, 2, 4, 1},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f, 2.0f, 3.0f, 10.0f, -6.0f, 4.0f, -2.0f, 1.0f})
                        }, { // param4
                            .type = TestOperandType::FLOAT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({1.0f})
                        }, { // param5
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-3})
                        }, { // output02
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1, 1, 2, 4, 1},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({-0.00247565f, -2.12692f, -0.00671534f, -0.000123374f, -6.00247f, -0.126928f, -5.00671f, -9.00012f})
                        }},
                .operations = {{
                            .type = TestOperationType::LOG_SOFTMAX,
                            .inputs = {0, 1, 2},
                            .outputs = {3}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {3}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_2
    };
    return model;
}

const auto dummy_test_model_3 = TestModelManager::get().add("log_softmax_3", get_test_model_3());

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

const TestModel& get_test_model_relaxed_3() {
    static TestModel model = {
        .main = {
                .operands = {{ // input02
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1, 1, 2, 4, 1},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f, 2.0f, 3.0f, 10.0f, -6.0f, 4.0f, -2.0f, 1.0f})
                        }, { // param4
                            .type = TestOperandType::FLOAT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({1.0f})
                        }, { // param5
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-3})
                        }, { // output02
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1, 1, 2, 4, 1},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({-0.00247565f, -2.12692f, -0.00671534f, -0.000123374f, -6.00247f, -0.126928f, -5.00671f, -9.00012f})
                        }},
                .operations = {{
                            .type = TestOperationType::LOG_SOFTMAX,
                            .inputs = {0, 1, 2},
                            .outputs = {3}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {3}
            },
        .referenced = {},
        .isRelaxed = true,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::UNKNOWN
    };
    return model;
}

const auto dummy_test_model_relaxed_3 = TestModelManager::get().add("log_softmax_relaxed_3", get_test_model_relaxed_3());

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

const TestModel& get_test_model_float16_3() {
    static TestModel model = {
        .main = {
                .operands = {{ // input02
                            .type = TestOperandType::TENSOR_FLOAT16,
                            .dimensions = {1, 1, 2, 4, 1},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({0.0f, 2.0f, 3.0f, 10.0f, -6.0f, 4.0f, -2.0f, 1.0f})
                        }, { // param4
                            .type = TestOperandType::FLOAT16,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({1.0f})
                        }, { // param5
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({-3})
                        }, { // output02
                            .type = TestOperandType::TENSOR_FLOAT16,
                            .dimensions = {1, 1, 2, 4, 1},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({-0.0024756500497460365f, -2.126919984817505f, -0.006715340074151754f, -0.00012337400403339416f, -6.002470016479492f, -0.12692800164222717f, -5.006710052490234f, -9.000120162963867f})
                        }},
                .operations = {{
                            .type = TestOperationType::LOG_SOFTMAX,
                            .inputs = {0, 1, 2},
                            .outputs = {3}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {3}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_2
    };
    return model;
}

const auto dummy_test_model_float16_3 = TestModelManager::get().add("log_softmax_float16_3", get_test_model_float16_3());

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

const TestModel& get_test_model_4() {
    static TestModel model = {
        .main = {
                .operands = {{ // input03
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1, 1, 1, 2, 4},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f, -0.6f, 0.2f, 0.4f, 0.3f, -0.2f, 1.0f, 0.1f})
                        }, { // param6
                            .type = TestOperandType::FLOAT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({10.0f})
                        }, { // param7
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({4})
                        }, { // output03
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1, 1, 1, 2, 4},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({-4.14297f, -10.14297f, -2.14297f, -0.142971f, -7.00104f, -12.00104f, -0.00104087f, -9.00104f})
                        }},
                .operations = {{
                            .type = TestOperationType::LOG_SOFTMAX,
                            .inputs = {0, 1, 2},
                            .outputs = {3}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {3}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_2
    };
    return model;
}

const auto dummy_test_model_4 = TestModelManager::get().add("log_softmax_4", get_test_model_4());

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

const TestModel& get_test_model_relaxed_4() {
    static TestModel model = {
        .main = {
                .operands = {{ // input03
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1, 1, 1, 2, 4},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({0.0f, -0.6f, 0.2f, 0.4f, 0.3f, -0.2f, 1.0f, 0.1f})
                        }, { // param6
                            .type = TestOperandType::FLOAT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({10.0f})
                        }, { // param7
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({4})
                        }, { // output03
                            .type = TestOperandType::TENSOR_FLOAT32,
                            .dimensions = {1, 1, 1, 2, 4},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<float>({-4.14297f, -10.14297f, -2.14297f, -0.142971f, -7.00104f, -12.00104f, -0.00104087f, -9.00104f})
                        }},
                .operations = {{
                            .type = TestOperationType::LOG_SOFTMAX,
                            .inputs = {0, 1, 2},
                            .outputs = {3}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {3}
            },
        .referenced = {},
        .isRelaxed = true,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::UNKNOWN
    };
    return model;
}

const auto dummy_test_model_relaxed_4 = TestModelManager::get().add("log_softmax_relaxed_4", get_test_model_relaxed_4());

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

const TestModel& get_test_model_float16_4() {
    static TestModel model = {
        .main = {
                .operands = {{ // input03
                            .type = TestOperandType::TENSOR_FLOAT16,
                            .dimensions = {1, 1, 1, 2, 4},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({0.0f, -0.6000000238418579f, 0.20000000298023224f, 0.4000000059604645f, 0.30000001192092896f, -0.20000000298023224f, 1.0f, 0.10000000149011612f})
                        }, { // param6
                            .type = TestOperandType::FLOAT16,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({10.0f})
                        }, { // param7
                            .type = TestOperandType::INT32,
                            .dimensions = {},
                            .numberOfConsumers = 1,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<int32_t>({4})
                        }, { // output03
                            .type = TestOperandType::TENSOR_FLOAT16,
                            .dimensions = {1, 1, 1, 2, 4},
                            .numberOfConsumers = 0,
                            .scale = 0.0f,
                            .zeroPoint = 0,
                            .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
                            .channelQuant = {},
                            .isIgnored = false,
                            .data = TestBuffer::createFromVector<_Float16>({-4.142970085144043f, -10.142970085144043f, -2.142970085144043f, -0.1429709941148758f, -7.001039981842041f, -12.0010404586792f, -0.0010408699745312333f, -9.0010404586792f})
                        }},
                .operations = {{
                            .type = TestOperationType::LOG_SOFTMAX,
                            .inputs = {0, 1, 2},
                            .outputs = {3}
                        }},
                .inputIndexes = {0},
                .outputIndexes = {3}
            },
        .referenced = {},
        .isRelaxed = false,
        .expectedMultinomialDistributionTolerance = 0,
        .expectFailure = false,
        .minSupportedVersion = TestHalVersion::V1_2
    };
    return model;
}

const auto dummy_test_model_float16_4 = TestModelManager::get().add("log_softmax_float16_4", get_test_model_float16_4());

}  // namespace generated_tests::log_softmax