runtime/test/generated/spec_V1_2/log_softmax.example.cpp

// Generated from log_softmax.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"

using namespace test_helper;

namespace generated_tests::log_softmax {

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

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

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

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

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

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

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

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

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

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

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

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

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

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

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

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

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

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

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

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

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

}  // namespace generated_tests::log_softmax

namespace generated_tests::log_softmax {

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

}  // namespace generated_tests::log_softmax