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author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2018-08-31 16:26:25 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
commit | b57be0da77370e5e71fe82dfa281f528279e8127 (patch) | |
tree | 2e08acec6363b74f840bad04c3b7195a0bd1b300 /tests/validation/CL/NormalizePlanarYUVLayer.cpp | |
parent | a34286ecabf4fc9e66e423332063a3d5fb17b8f8 (diff) | |
download | ComputeLibrary-b57be0da77370e5e71fe82dfa281f528279e8127.tar.gz |
COMPMID-1330: Add support for NormalizePlanarYUV operator in CL
Change-Id: Id0754b9e2bc3ef7ff2c4c21c3b89709588c41bd3
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/146637
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Diffstat (limited to 'tests/validation/CL/NormalizePlanarYUVLayer.cpp')
-rw-r--r-- | tests/validation/CL/NormalizePlanarYUVLayer.cpp | 142 |
1 files changed, 142 insertions, 0 deletions
diff --git a/tests/validation/CL/NormalizePlanarYUVLayer.cpp b/tests/validation/CL/NormalizePlanarYUVLayer.cpp new file mode 100644 index 0000000000..aa1a00e106 --- /dev/null +++ b/tests/validation/CL/NormalizePlanarYUVLayer.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/CL/CLTensor.h" +#include "arm_compute/runtime/CL/CLTensorAllocator.h" +#include "arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h" +#include "tests/CL/CLAccessor.h" +#include "tests/PaddingCalculator.h" +#include "tests/datasets/RandomNormalizePlanarYUVLayerDataset.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/NormalizePlanarYUVLayerFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +constexpr RelativeTolerance<float> tolerance_f16(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ +constexpr RelativeTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ +} // namespace + +TEST_SUITE(CL) +TEST_SUITE(NormalizePlanarYUVLayer) + +template <typename T> +using CLNormalizePlanarYUVLayerFixture = NormalizePlanarYUVLayerValidationFixture<CLTensor, CLAccessor, CLNormalizePlanarYUVLayer, T>; + +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make("DataType", { DataType::F16 })), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + shape0, shape1, dt, data_layout) +{ + TensorShape src_dst_shapes = shape0; + if(data_layout == DataLayout::NHWC) + { + permute(src_dst_shapes, PermutationVector(2U, 0U, 1U)); + } + + // Create tensors + CLTensor src = create_tensor<CLTensor>(src_dst_shapes, dt, 1, QuantizationInfo(), data_layout); + CLTensor dst = create_tensor<CLTensor>(src_dst_shapes, dt, 1, QuantizationInfo(), data_layout); + CLTensor mean = create_tensor<CLTensor>(shape1, dt, 1); + CLTensor sd = create_tensor<CLTensor>(shape1, dt, 1); + + // Create and Configure function + CLNormalizePlanarYUVLayer norm; + norm.configure(&src, &dst, &mean, &sd); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(src_dst_shapes); + validate(dst.info()->valid_region(), valid_region); +} + +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data types + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), // Window shrink + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Unsupported data type + TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), // Mismatching mean and sd shapes + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes + }), + framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), + TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), + TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), + })), + framework::dataset::make("MSTDInfo",{ TensorInfo(TensorShape(2U), 1, DataType::F16), + TensorInfo(TensorShape(2U), 1, DataType::F16), + TensorInfo(TensorShape(2U), 1, DataType::U8), + TensorInfo(TensorShape(8U), 1, DataType::F16), + TensorInfo(TensorShape(6U), 1, DataType::F16), + TensorInfo(TensorShape(2U), 1, DataType::F32), + })), + framework::dataset::make("Expected", { false, false, false, true, false, false })), + input_info, output_info, msd_info, expected) +{ + const auto &mean_info = msd_info; + const auto &sd_info = msd_info; + bool has_error = bool(CLNormalizePlanarYUVLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), &mean_info.clone()->set_is_resizable(false), &sd_info.clone()->set_is_resizable(false))); + ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + +TEST_SUITE(Float) +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), + framework::dataset::make("DataType", DataType::F16)), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f16, 0); +} +TEST_SUITE_END() + +TEST_SUITE(FP32) +FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f32); +} +TEST_SUITE_END() +TEST_SUITE_END() + +TEST_SUITE_END() +TEST_SUITE_END() +} // namespace validation +} // namespace test +} // namespace arm_compute |