runtime/test/generated/spec_V1_1/mean_quant8_2.example.cpp

// Generated from mean_quant8_2.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"

using namespace test_helper;

namespace generated_tests::mean_quant8_2 {

const TestModel& get_test_model() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24}),
                .dimensions = {4, 3, 2},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.8f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 5
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0, 2}),
                .dimensions = {2},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_INT32,
                .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<uint8_t>({10, 12, 14}),
                .dimensions = {1, 3, 1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.8f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 5
            }},
        .operations = {{
                .inputs = {0, 1, 2},
                .outputs = {3},
                .type = TestOperationType::MEAN
            }},
        .outputIndexes = {3}
    };
    return model;
}

}  // namespace generated_tests::mean_quant8_2

namespace generated_tests::mean_quant8_2 {

const TestModel& get_test_model_all_inputs_as_internal() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {4},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({}),
                .dimensions = {4, 3, 2},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.8f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 5
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0, 2}),
                .dimensions = {2},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_INT32,
                .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<uint8_t>({10, 12, 14}),
                .dimensions = {1, 3, 1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.8f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 5
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24}),
                .dimensions = {4, 3, 2},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.8f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 5
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({5}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.8f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 5
            }, {
                .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 = {4, 5, 6},
                .outputs = {0},
                .type = TestOperationType::ADD
            }, {
                .inputs = {0, 1, 2},
                .outputs = {3},
                .type = TestOperationType::MEAN
            }},
        .outputIndexes = {3}
    };
    return model;
}

}  // namespace generated_tests::mean_quant8_2

namespace generated_tests::mean_quant8_2 {

const TestModel& get_test_model_all_tensors_as_inputs() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0, 1},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24}),
                .dimensions = {4, 3, 2},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.8f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 5
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0, 2}),
                .dimensions = {2},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_INT32,
                .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<uint8_t>({10, 12, 14}),
                .dimensions = {1, 3, 1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.8f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 5
            }},
        .operations = {{
                .inputs = {0, 1, 2},
                .outputs = {3},
                .type = TestOperationType::MEAN
            }},
        .outputIndexes = {3}
    };
    return model;
}

}  // namespace generated_tests::mean_quant8_2

namespace generated_tests::mean_quant8_2 {

const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {1, 4},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({}),
                .dimensions = {4, 3, 2},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.8f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 5
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0, 2}),
                .dimensions = {2},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_INT32,
                .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<uint8_t>({10, 12, 14}),
                .dimensions = {1, 3, 1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.8f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 5
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24}),
                .dimensions = {4, 3, 2},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.8f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 5
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<uint8_t>({5}),
                .dimensions = {1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.8f,
                .type = TestOperandType::TENSOR_QUANT8_ASYMM,
                .zeroPoint = 5
            }, {
                .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 = {4, 5, 6},
                .outputs = {0},
                .type = TestOperationType::ADD
            }, {
                .inputs = {0, 1, 2},
                .outputs = {3},
                .type = TestOperationType::MEAN
            }},
        .outputIndexes = {3}
    };
    return model;
}

}  // namespace generated_tests::mean_quant8_2