/* * Copyright (c) 2018-2019 ARM Limited. * * SPDX-License-Identifier: MIT * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to * deal in the Software without restriction, including without limitation the * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or * sell copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ #include "arm_compute/core/Helpers.h" #include "arm_compute/core/Types.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "arm_compute/runtime/NEON/functions/NEStackLayer.h" #include "arm_compute/runtime/Tensor.h" #include "arm_compute/runtime/TensorAllocator.h" #include "tests/NEON/Accessor.h" #include "tests/PaddingCalculator.h" #include "tests/datasets/ShapeDatasets.h" #include "tests/framework/Asserts.h" #include "tests/framework/Macros.h" #include "tests/framework/datasets/Datasets.h" #include "tests/validation/Validation.h" #include "tests/validation/fixtures/StackLayerFixture.h" #include namespace arm_compute { namespace test { namespace validation { namespace { // *INDENT-OFF* // clang-format off /** Data types */ const auto data_types = framework::dataset::make("DataType", { DataType::QASYMM8, DataType::F16, DataType::F32 }); /** Num tensors values to test */ const auto n_values = framework::dataset::make("NumTensors", { 3, 4 }); /** Shapes 1D to test */ const auto shapes_1d_small = combine(datasets::Small1DShapes(), framework::dataset::make("Axis", -1, 2)); /** Shapes 2D to test */ const auto shapes_2d_small = combine(datasets::Small2DShapes(), framework::dataset::make("Axis", -2, 3)); /** Shapes 3D to test */ const auto shapes_3d_small = combine(datasets::Small3DShapes(), framework::dataset::make("Axis", -3, 4)); /** Shapes 4D to test */ const auto shapes_4d_small = combine(datasets::Small4DShapes(), framework::dataset::make("Axis", -4, 5)); /** Shapes 1D to test */ const auto shapes_1d_large = combine(datasets::Large1DShapes(), framework::dataset::make("Axis", -1, 2)); /** Shapes 2D to test */ const auto shapes_2d_large = combine(datasets::Medium2DShapes(), framework::dataset::make("Axis", -2, 3)); /** Shapes 3D to test */ const auto shapes_3d_large = combine(datasets::Medium3DShapes(), framework::dataset::make("Axis", -3, 4)); /** Shapes 4D to test */ const auto shapes_4d_large = combine(datasets::Medium4DShapes(), framework::dataset::make("Axis", -4, 5)); /** Configuration test */ void validate_configuration(TensorShape shape_in, int axis, DataType data_type, int num_tensors) { // Wrap around negative values const unsigned int axis_u = wrap_around(axis, static_cast(shape_in.num_dimensions() + 1)); const TensorShape shape_dst = compute_stack_shape(TensorInfo(shape_in, 1, data_type), axis_u, num_tensors); std::vector tensors(num_tensors); std::vector src(num_tensors); // Create vector of input tensors for(int i = 0; i < num_tensors; ++i) { tensors[i] = create_tensor(shape_in, data_type); src[i] = &(tensors[i]); ARM_COMPUTE_EXPECT(src[i]->info()->is_resizable(), framework::LogLevel::ERRORS); } // Create tensors Tensor dst = create_tensor(shape_dst, data_type); ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); // Create and configure function NEStackLayer stack; stack.configure(src, axis, &dst); } } // namespace /** Fixture to use */ template using NEStackLayerFixture = StackLayerValidationFixture; using namespace arm_compute::misc::shape_calculator; TEST_SUITE(NEON) TEST_SUITE(StackLayer) DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( framework::dataset::make("InputInfo", { std::vector{ TensorInfo(TensorShape(9U, 8U), 1, DataType::U8) }, std::vector{ TensorInfo(TensorShape(1U, 2U), 1, DataType::U8) , TensorInfo(TensorShape(1U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U), 1, DataType::U8)}, std::vector{ TensorInfo(TensorShape(2U, 3U), 1, DataType::S32) }, std::vector{ TensorInfo(TensorShape(7U, 5U, 3U, 8U, 2U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U, 3U, 8U, 2U), 1, DataType::S32)}, std::vector{ TensorInfo(TensorShape(9U, 8U), 1, DataType::S32) }, }), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(1U, 9U, 8U), 1, DataType::U8), // Passes, stack 1 tensor on x axis TensorInfo(TensorShape(1U, 3U, 2U), 1, DataType::U8), // Passes, stack 3 tensors on y axis TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::S32), // fails axis < (- input's rank) TensorInfo(TensorShape(3U, 7U, 5U), 1, DataType::S32), // fails, input dimensions > 4 TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8), // fails mismatching data types })), framework::dataset::make("Axis", { -3, 1, -4, -3, 1 })), framework::dataset::make("Expected", { true, true, false, false, false })), input_info, output_info, axis, expected) { std::vector ti(input_info); std::vector vec(input_info.size()); for(size_t j = 0; j < vec.size(); ++j) { vec[j] = &ti[j]; } ARM_COMPUTE_EXPECT(bool(NEStackLayer::validate(vec, axis, &output_info)) == expected, framework::LogLevel::ERRORS); } TEST_SUITE(Shapes1D) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(shapes_1d_small, data_types), n_values), shape_in, axis, data_type, num_tensors) { validate_configuration(shape_in, axis, data_type, num_tensors); } TEST_SUITE(S32) FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture, framework::DatasetMode::ALL, combine(combine(shapes_1d_small, framework::dataset::make("DataType", { DataType::S32 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(shapes_1d_large, framework::dataset::make("DataType", { DataType::S32 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } TEST_SUITE_END() // S32 TEST_SUITE(S16) FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture, framework::DatasetMode::ALL, combine(combine(shapes_1d_small, framework::dataset::make("DataType", { DataType::S16 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(shapes_1d_large, framework::dataset::make("DataType", { DataType::S16 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } TEST_SUITE_END() // S16 TEST_SUITE(S8) FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture, framework::DatasetMode::ALL, combine(combine(shapes_1d_small, framework::dataset::make("DataType", { DataType::S8 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(shapes_1d_large, framework::dataset::make("DataType", { DataType::S8 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } TEST_SUITE_END() // S8 TEST_SUITE_END() // Shapes1D TEST_SUITE(Shapes2D) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(shapes_2d_small, data_types), n_values), shape_in, axis, data_type, num_tensors) { validate_configuration(shape_in, axis, data_type, num_tensors); } TEST_SUITE(S32) FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture, framework::DatasetMode::ALL, combine(combine(shapes_2d_small, framework::dataset::make("DataType", { DataType::S32 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(shapes_2d_large, framework::dataset::make("DataType", { DataType::S32 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } TEST_SUITE_END() // S32 TEST_SUITE(S16) FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture, framework::DatasetMode::ALL, combine(combine(shapes_2d_small, framework::dataset::make("DataType", { DataType::S16 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(shapes_2d_large, framework::dataset::make("DataType", { DataType::S16 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } TEST_SUITE_END() // S16 TEST_SUITE(S8) FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture, framework::DatasetMode::ALL, combine(combine(shapes_2d_small, framework::dataset::make("DataType", { DataType::S8 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(shapes_2d_large, framework::dataset::make("DataType", { DataType::S8 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } TEST_SUITE_END() // S8 TEST_SUITE_END() // Shapes2D TEST_SUITE(Shapes3D) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(shapes_3d_small, data_types), n_values), shape_in, axis, data_type, num_tensors) { validate_configuration(shape_in, axis, data_type, num_tensors); } TEST_SUITE(S32) FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture, framework::DatasetMode::ALL, combine(combine(shapes_3d_small, framework::dataset::make("DataType", { DataType::S32 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(shapes_3d_large, framework::dataset::make("DataType", { DataType::S32 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } TEST_SUITE_END() // S32 TEST_SUITE(S16) FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture, framework::DatasetMode::ALL, combine(combine(shapes_3d_small, framework::dataset::make("DataType", { DataType::S16 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(shapes_3d_large, framework::dataset::make("DataType", { DataType::S16 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } TEST_SUITE_END() // S16 TEST_SUITE(S8) FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture, framework::DatasetMode::ALL, combine(combine(shapes_3d_small, framework::dataset::make("DataType", { DataType::S8 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(shapes_3d_large, framework::dataset::make("DataType", { DataType::S8 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } TEST_SUITE_END() // S8 TEST_SUITE_END() // Shapes3D TEST_SUITE(Shapes4D) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(shapes_4d_small, data_types), n_values), shape_in, axis, data_type, num_tensors) { validate_configuration(shape_in, axis, data_type, num_tensors); } TEST_SUITE(S32) FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture, framework::DatasetMode::ALL, combine(combine(shapes_4d_small, framework::dataset::make("DataType", { DataType::S32 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(shapes_4d_large, framework::dataset::make("DataType", { DataType::S32 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } TEST_SUITE_END() // S32 TEST_SUITE(S16) FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture, framework::DatasetMode::ALL, combine(combine(shapes_4d_small, framework::dataset::make("DataType", { DataType::S16 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(shapes_4d_large, framework::dataset::make("DataType", { DataType::S16 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } TEST_SUITE_END() // S16 TEST_SUITE(S8) FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture, framework::DatasetMode::ALL, combine(combine(shapes_4d_small, framework::dataset::make("DataType", { DataType::S8 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(shapes_4d_large, framework::dataset::make("DataType", { DataType::S8 })), n_values)) { // Validate output validate(Accessor(_target), _reference); } TEST_SUITE_END() // S8 TEST_SUITE_END() // Shapes4D TEST_SUITE_END() // StackLayer TEST_SUITE_END() // NEON } // namespace validation } // namespace test } // namespace arm_compute