runtime/test/generated/spec_V1_2/transpose_float16.example.cpp

// Generated from transpose_float16.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;

namespace generated_tests::transpose_float16 {

const TestModel& get_test_model() {
    static TestModel model = {
        .expectFailure = false,
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {0},
        .isRelaxed = false,
        .minSupportedVersion = TestHalVersion::V1_2,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f}),
                .dimensions = {1, 2, 2, 1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_INPUT,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0, 2, 1, 3}),
                .dimensions = {4},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_INT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({1.0f, 3.0f, 2.0f, 4.0f}),
                .dimensions = {1, 2, 2, 1},
                .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::TRANSPOSE
            }},
        .outputIndexes = {2}
    };
    return model;
}

const auto dummy_test_model = TestModelManager::get().add("transpose_float16", get_test_model());

}  // namespace generated_tests::transpose_float16

namespace generated_tests::transpose_float16 {

const TestModel& get_test_model_all_inputs_as_internal() {
    static TestModel model = {
        .expectFailure = false,
        .expectedMultinomialDistributionTolerance = 0,
        .inputIndexes = {3},
        .isRelaxed = false,
        .minSupportedVersion = TestHalVersion::V1_2,
        .operands = {{
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({}),
                .dimensions = {1, 2, 2, 1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<int32_t>({0, 2, 1, 3}),
                .dimensions = {4},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
                .numberOfConsumers = 1,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_INT32,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({1.0f, 3.0f, 2.0f, 4.0f}),
                .dimensions = {1, 2, 2, 1},
                .isIgnored = false,
                .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
                .numberOfConsumers = 0,
                .scale = 0.0f,
                .type = TestOperandType::TENSOR_FLOAT16,
                .zeroPoint = 0
            }, {
                .channelQuant = {},
                .data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f}),
                .dimensions = {1, 2, 2, 1},
                .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::TRANSPOSE
            }},
        .outputIndexes = {2}
    };
    return model;
}

const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("transpose_float16_all_inputs_as_internal", get_test_model_all_inputs_as_internal());

}  // namespace generated_tests::transpose_float16