| /* |
| * 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 <vector> |
| |
| 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<int>(shape_in.num_dimensions() + 1)); |
| |
| const TensorShape shape_dst = compute_stack_shape(TensorInfo(shape_in, 1, data_type), axis_u, num_tensors); |
| |
| std::vector<Tensor> tensors(num_tensors); |
| std::vector<ITensor*> src(num_tensors); |
| |
| // Create vector of input tensors |
| for(int i = 0; i < num_tensors; ++i) |
| { |
| tensors[i] = create_tensor<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<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<typename T> |
| using NEStackLayerFixture = StackLayerValidationFixture<Tensor, ITensor, Accessor, NEStackLayer, T>; |
| |
| 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>{ TensorInfo(TensorShape(9U, 8U), 1, DataType::U8) }, |
| std::vector<TensorInfo>{ TensorInfo(TensorShape(1U, 2U), 1, DataType::U8) , TensorInfo(TensorShape(1U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U), 1, DataType::U8)}, |
| std::vector<TensorInfo>{ TensorInfo(TensorShape(2U, 3U), 1, DataType::S32) }, |
| std::vector<TensorInfo>{ TensorInfo(TensorShape(7U, 5U, 3U, 8U, 2U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U, 3U, 8U, 2U), 1, DataType::S32)}, |
| std::vector<TensorInfo>{ 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<TensorInfo> ti(input_info); |
| std::vector<ITensorInfo *> 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<int>, 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<int>, 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<short>, 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<short>, 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<char>, 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<char>, 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<int>, 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<int>, 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<short>, 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<short>, 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<char>, 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<char>, 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<int>, 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<int>, 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<short>, 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<short>, 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<char>, 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<char>, 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<int>, 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<int>, 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<short>, 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<short>, 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<char>, 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<char>, 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 |