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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-07-16 15:41:27 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
commit | ae54e026c86aec7d6819ee3ef76372c1a3c92467 (patch) | |
tree | 83dd35aad5c524f99819d144583d5566923f1a97 /tests/validation/NEON/WidthConcatenateLayer.cpp | |
parent | b0b37177f190a261b338cca53b6c6136eea14ba1 (diff) | |
download | ComputeLibrary-ae54e026c86aec7d6819ee3ef76372c1a3c92467.tar.gz |
COMPMID-1364: Add support for NHWC in NEDepthConcatenateLayer
Change-Id: I4f8e46d1c79afa9284f2c6dc00383c453a8e7bd5
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/140165
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/NEON/WidthConcatenateLayer.cpp')
-rw-r--r-- | tests/validation/NEON/WidthConcatenateLayer.cpp | 142 |
1 files changed, 142 insertions, 0 deletions
diff --git a/tests/validation/NEON/WidthConcatenateLayer.cpp b/tests/validation/NEON/WidthConcatenateLayer.cpp new file mode 100644 index 0000000000..6f3abe1494 --- /dev/null +++ b/tests/validation/NEON/WidthConcatenateLayer.cpp @@ -0,0 +1,142 @@ +/* + * Copyright (c) 2018 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/NEWidthConcatenateLayer.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/WidthConcatenateLayerFixture.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) + }), + 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) + })), + 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) + })), + 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(NEWidthConcatenateLayer::validate(inputs_vector_info_raw, + &output_info.clone()->set_is_resizable(false))); + ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + +TEST_CASE(Configuration, framework::DatasetMode::ALL) +{ + // Create tensors + Tensor src1 = create_tensor<Tensor>(TensorShape(128U, 32U, 32U), DataType::F32, 1); + Tensor src2 = create_tensor<Tensor>(TensorShape(32U, 32U, 32U), DataType::F32, 1); + Tensor src3 = create_tensor<Tensor>(TensorShape(15U, 32U, 32U), DataType::F32, 1); + Tensor dst; + + ARM_COMPUTE_EXPECT(src1.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(src2.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(src3.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Create and configure function + NEWidthConcatenateLayer concat_layer; + + concat_layer.configure({ &src1, &src2, &src3 }, &dst); +} + +template <typename T> +using NEWidthConcatenateLayerFixture = WidthConcatenateLayerValidationFixture<Tensor, ITensor, Accessor, NEWidthConcatenateLayer, T>; + +TEST_SUITE(Float) +TEST_SUITE(FP32) +FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", + DataType::F32))) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEWidthConcatenateLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make("DataType", + DataType::F32))) +{ + // 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(datasets::Small2DShapes(), framework::dataset::make("DataType", + DataType::QASYMM8))) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEWidthConcatenateLayerFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make("DataType", + DataType::QASYMM8))) +{ + // 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 |