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

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

using namespace test_helper;

namespace generated_tests::prelu {

const TestModel& get_test_model() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -2.0f, -2.0f, -2.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_all_inputs_as_internal() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {3},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -2.0f, -2.0f, -2.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {3, 4, 5},
                .outputs = {0},
                .type = TestOperationType::ADD
            }, {
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_all_tensors_as_inputs() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0, 1},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -2.0f, -2.0f, -2.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {3, 6},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -2.0f, -2.0f, -2.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {3, 4, 5},
                .outputs = {0},
                .type = TestOperationType::ADD
            }, {
                .inputs = {6, 7, 8},
                .outputs = {1},
                .type = TestOperationType::ADD
            }, {
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_relaxed() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0},
        .isRelaxed = true,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -2.0f, -2.0f, -2.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_relaxed_all_inputs_as_internal() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {3},
        .isRelaxed = true,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -2.0f, -2.0f, -2.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {3, 4, 5},
                .outputs = {0},
                .type = TestOperationType::ADD
            }, {
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_relaxed_all_tensors_as_inputs() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0, 1},
        .isRelaxed = true,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -2.0f, -2.0f, -2.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_relaxed_all_tensors_as_inputs_all_inputs_as_internal() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {3, 6},
        .isRelaxed = true,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -2.0f, -2.0f, -2.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {3, 4, 5},
                .outputs = {0},
                .type = TestOperationType::ADD
            }, {
                .inputs = {6, 7, 8},
                .outputs = {1},
                .type = TestOperationType::ADD
            }, {
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_quant8() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50, 54, 58}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({120, 120, 120, 122, 122, 122, 120, 118, 116, 120, 116, 112}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.5f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 120
            }},
        .operations = {{
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_quant8_all_inputs_as_internal() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {3},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50, 54, 58}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({120, 120, 120, 122, 122, 122, 120, 118, 116, 120, 116, 112}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.5f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 120
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {3, 4, 5},
                .outputs = {0},
                .type = TestOperationType::ADD
            }, {
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_quant8_all_tensors_as_inputs() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0, 1},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50, 54, 58}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({120, 120, 120, 122, 122, 122, 120, 118, 116, 120, 116, 112}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.5f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 120
            }},
        .operations = {{
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_quant8_all_tensors_as_inputs_all_inputs_as_internal() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {3, 6},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({120, 120, 120, 122, 122, 122, 120, 118, 116, 120, 116, 112}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.5f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 120
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50, 54, 58}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {3, 4, 5},
                .outputs = {0},
                .type = TestOperationType::ADD
            }, {
                .inputs = {6, 7, 8},
                .outputs = {1},
                .type = TestOperationType::ADD
            }, {
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_quant8_2() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50, 54, 58}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({120, 120, 120, 124, 124, 124, 120, 116, 112, 120, 112, 104}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 120
            }},
        .operations = {{
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_quant8_all_inputs_as_internal_2() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {3},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50, 54, 58}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({120, 120, 120, 124, 124, 124, 120, 116, 112, 120, 112, 104}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 120
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {3, 4, 5},
                .outputs = {0},
                .type = TestOperationType::ADD
            }, {
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_quant8_all_tensors_as_inputs_2() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0, 1},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50, 54, 58}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({120, 120, 120, 124, 124, 124, 120, 116, 112, 120, 112, 104}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 120
            }},
        .operations = {{
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_quant8_all_tensors_as_inputs_all_inputs_as_internal_2() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {3, 6},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({120, 120, 120, 124, 124, 124, 120, 116, 112, 120, 112, 104}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 120
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50, 54, 58}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {3, 4, 5},
                .outputs = {0},
                .type = TestOperationType::ADD
            }, {
                .inputs = {6, 7, 8},
                .outputs = {1},
                .type = TestOperationType::ADD
            }, {
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_quant8_3() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50, 52, 54}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.5f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({120, 120, 120, 128, 128, 128, 120, 112, 104, 120, 104, 88}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.125f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 120
            }},
        .operations = {{
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_quant8_all_inputs_as_internal_3() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {3},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50, 52, 54}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.5f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({120, 120, 120, 128, 128, 128, 120, 112, 104, 120, 104, 88}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.125f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 120
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {3, 4, 5},
                .outputs = {0},
                .type = TestOperationType::ADD
            }, {
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_quant8_all_tensors_as_inputs_3() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0, 1},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50, 52, 54}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.5f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({120, 120, 120, 128, 128, 128, 120, 112, 104, 120, 104, 88}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.125f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 120
            }},
        .operations = {{
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_quant8_all_tensors_as_inputs_all_inputs_as_internal_3() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {3, 6},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.5f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({120, 120, 120, 128, 128, 128, 120, 112, 104, 120, 104, 88}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.125f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 120
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50, 52, 54}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.5f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.5f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {3, 4, 5},
                .outputs = {0},
                .type = TestOperationType::ADD
            }, {
                .inputs = {6, 7, 8},
                .outputs = {1},
                .type = TestOperationType::ADD
            }, {
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_quant8_4() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50, 52, 54}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.5f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({120, 120, 120, 130, 130, 130, 120, 110, 100, 120, 100, 80}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.1f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 120
            }},
        .operations = {{
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_quant8_all_inputs_as_internal_4() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {3},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50, 52, 54}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.5f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({120, 120, 120, 130, 130, 130, 120, 110, 100, 120, 100, 80}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.1f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 120
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {3, 4, 5},
                .outputs = {0},
                .type = TestOperationType::ADD
            }, {
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_quant8_all_tensors_as_inputs_4() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0, 1},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50, 52, 54}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.5f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({120, 120, 120, 130, 130, 130, 120, 110, 100, 120, 100, 80}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.1f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 120
            }},
        .operations = {{
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_quant8_all_tensors_as_inputs_all_inputs_as_internal_4() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {3, 6},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.5f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({120, 120, 120, 130, 130, 130, 120, 110, 100, 120, 100, 80}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.1f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 120
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({128}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.25f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 128
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50, 52, 54}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.5f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({50}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.5f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 50
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {3, 4, 5},
                .outputs = {0},
                .type = TestOperationType::ADD
            }, {
                .inputs = {6, 7, 8},
                .outputs = {1},
                .type = TestOperationType::ADD
            }, {
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_float16() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -2.0f, -2.0f, -2.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({0.0f, 1.0f, 2.0f}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_float16_all_inputs_as_internal() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {3},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({0.0f, 1.0f, 2.0f}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -2.0f, -2.0f, -2.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({0.0f}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {3, 4, 5},
                .outputs = {0},
                .type = TestOperationType::ADD
            }, {
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_float16_all_tensors_as_inputs() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0, 1},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -2.0f, -2.0f, -2.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({0.0f, 1.0f, 2.0f}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu

namespace generated_tests::prelu {

const TestModel& get_test_model_float16_all_tensors_as_inputs_all_inputs_as_internal() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {3, 6},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -2.0f, -2.0f, -2.0f}),
                .dimensions = {1, 2, 2, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({0.0f}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({0.0f, 1.0f, 2.0f}),
                .dimensions = {1, 1, 3},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({0.0f}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0}),
                .dimensions = {},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::INT32,
                .zeroPoint = 0
            }},
        .operations = {{
                .inputs = {3, 4, 5},
                .outputs = {0},
                .type = TestOperationType::ADD
            }, {
                .inputs = {6, 7, 8},
                .outputs = {1},
                .type = TestOperationType::ADD
            }, {
                .inputs = {0, 1},
                .outputs = {2},
                .type = TestOperationType::PRELU
            }},
        .outputIndexes = {2}
    };
    return model;
}

}  // namespace generated_tests::prelu