runtime/test/generated/spec_V1_0/l2_normalization_large.example.cpp

// Generated from l2_normalization_large.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"

using namespace test_helper;

namespace generated_tests::l2_normalization_large {

const TestModel& get_test_model() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0},
        .isRelaxed = false,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<float>({0.0f, 3.0f, 4.0f, 0.0f, 5.0f, 12.0f, 0.0f, 8.0f, 15.0f, 0.0f, 7.0f, 24.0f}),
                .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, 0.6f, 0.8f, 0.0f, 0.38461539149284363f, 0.9230769872665405f, 0.0f, 0.47058823704719543f, 0.8823529481887817f, 0.0f, 0.28f, 0.96f}),
                .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},
                .outputs = {1},
                .type = TestOperationType::L2_NORMALIZATION
            }},
        .outputIndexes = {1}
    };
    return model;
}

}  // namespace generated_tests::l2_normalization_large

namespace generated_tests::l2_normalization_large {

const TestModel& get_test_model_all_inputs_as_internal() {
    static TestModel model = {
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {2},
        .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, 0.6f, 0.8f, 0.0f, 0.38461539149284363f, 0.9230769872665405f, 0.0f, 0.47058823704719543f, 0.8823529481887817f, 0.0f, 0.28f, 0.96f}),
                .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, 3.0f, 4.0f, 0.0f, 5.0f, 12.0f, 0.0f, 8.0f, 15.0f, 0.0f, 7.0f, 24.0f}),
                .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 = {2, 3, 4},
                .outputs = {0},
                .type = TestOperationType::ADD
            }, {
                .inputs = {0},
                .outputs = {1},
                .type = TestOperationType::L2_NORMALIZATION
            }},
        .outputIndexes = {1}
    };
    return model;
}

}  // namespace generated_tests::l2_normalization_large