| /* |
| * Copyright (c) 2018-2020 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(WidthConcatenateLayer) |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( |
| framework::dataset::make("InputInfo1", { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/output |
| TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching y dimension |
| TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching total width |
| TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32), |
| TensorInfo(TensorShape(21U, 35U, 5U), 1, DataType::F32) |
| }), |
| framework::dataset::make("InputInfo2", { TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32), |
| TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32), |
| TensorInfo(TensorShape(10U, 35U, 5U), 1, DataType::F32) |
| })), |
| framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(47U, 27U, 5U), 1, DataType::F16), |
| TensorInfo(TensorShape(75U, 12U, 5U), 1, DataType::F32), |
| TensorInfo(TensorShape(11U, 27U, 5U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 27U, 5U), 1, DataType::F32), |
| TensorInfo(TensorShape(31U, 35U, 5U), 1, DataType::F32) |
| })), |
| framework::dataset::make("Expected", { false, false, false, true, 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<const ITensorInfo *> inputs_vector_info_raw; |
| inputs_vector_info_raw.reserve(inputs_vector_info.size()); |
| 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(true), 0)); |
| ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| template <typename T> |
| using NEWidthConcatenateLayerFixture = ConcatenateLayerValidationFixture<Tensor, ITensor, Accessor, NEConcatenateLayer, T>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), |
| framework::dataset::make("DataType", |
| DataType::F32)), |
| framework::dataset::make("Axis", 0))) |
| |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEWidthConcatenateLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::ConcatenateLayerShapes(), framework::dataset::make("DataType", |
| DataType::F32)), |
| framework::dataset::make("Axis", 0))) |
| |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| TEST_SUITE(Quantized) |
| TEST_SUITE(QASYMM8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), |
| framework::dataset::make("DataType", |
| DataType::QASYMM8)), |
| framework::dataset::make("Axis", 0))) |
| |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(QASYMM8_SIGNED) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), |
| framework::dataset::make("DataType", |
| DataType::QASYMM8_SIGNED)), |
| framework::dataset::make("Axis", 0))) |
| |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |