diff options
Diffstat (limited to 'tests/validation/NEON/HeightConcatenateLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/HeightConcatenateLayer.cpp | 131 |
1 files changed, 131 insertions, 0 deletions
diff --git a/tests/validation/NEON/HeightConcatenateLayer.cpp b/tests/validation/NEON/HeightConcatenateLayer.cpp new file mode 100644 index 0000000000..f5400f9246 --- /dev/null +++ b/tests/validation/NEON/HeightConcatenateLayer.cpp @@ -0,0 +1,131 @@ +/* + * Copyright (c) 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/Types.h" +#include "arm_compute/runtime/NEON/functions/NEConcatenateLayer.h" +#include "arm_compute/runtime/Tensor.h" +#include "arm_compute/runtime/TensorAllocator.h" +#include "tests/NEON/Accessor.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/ConcatenateLayerFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +TEST_SUITE(NEON) +TEST_SUITE(HeightConcatenateLayer) + +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( + framework::dataset::make("InputInfo1", { TensorInfo(TensorShape(23U, 15U, 5U), 1, DataType::F32), // Mismatching data type input/output + TensorInfo(TensorShape(22U, 27U, 5U), 1, DataType::F32), // Mismatching y dimension + TensorInfo(TensorShape(11U, 25U, 5U), 1, DataType::F32), // Mismatching total height + TensorInfo(TensorShape(16U, 25U, 5U), 1, DataType::F32) + }), + framework::dataset::make("InputInfo2", { TensorInfo(TensorShape(23U, 15U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(22U, 127U, 5U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 26U, 5U), 1, DataType::F32), + TensorInfo(TensorShape(16U, 25U, 5U), 1, DataType::F32) + })), + framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(23U, 30U, 5U), 1, DataType::F16), + TensorInfo(TensorShape(22U, 12U, 5U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 7U, 5U), 1, DataType::F32), + TensorInfo(TensorShape(16U, 50U, 5U), 1, DataType::F32) + })), + framework::dataset::make("Expected", { false, false, false, true })), + input_info1, input_info2, output_info,expected) +{ + std::vector<TensorInfo> inputs_vector_info; + inputs_vector_info.emplace_back(std::move(input_info1)); + inputs_vector_info.emplace_back(std::move(input_info2)); + + std::vector<ITensorInfo *> inputs_vector_info_raw; + for(auto &input : inputs_vector_info) + { + inputs_vector_info_raw.emplace_back(&input); + } + + bool is_valid = bool(NEConcatenateLayer::validate(inputs_vector_info_raw, &output_info.clone()->set_is_resizable(false), DataLayoutDimension::HEIGHT)); + ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + +template <typename T> +using NEHeightConcatenateLayerFixture = ConcatenateLayerValidationFixture<Tensor, ITensor, Accessor, NEConcatenateLayer, T>; + +TEST_SUITE(Float) +TEST_SUITE(FP32) +FIXTURE_DATA_TEST_CASE(RunSmall, NEHeightConcatenateLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), + framework::dataset::make("DataType", + DataType::F32)), + framework::dataset::make("Axis", 1))) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEHeightConcatenateLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::ConcatenateLayerShapes(), framework::dataset::make("DataType", + DataType::F32)), + framework::dataset::make("Axis", 1))) + +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() // FP32 +TEST_SUITE_END() // Float + +TEST_SUITE(Quantized) +TEST_SUITE(QASYMM8) +FIXTURE_DATA_TEST_CASE(RunSmall, NEHeightConcatenateLayerFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), + framework::dataset::make("DataType", + DataType::QASYMM8)), + framework::dataset::make("Axis", 1))) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEHeightConcatenateLayerFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::ConcatenateLayerShapes(), + framework::dataset::make("DataType", + DataType::QASYMM8)), + framework::dataset::make("Axis", 1))) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() // QASYMM8 +TEST_SUITE_END() // Quantized + +TEST_SUITE_END() +TEST_SUITE_END() +} // namespace validation +} // namespace test +} // namespace arm_compute |