143 lines
8.6 KiB
C++
143 lines
8.6 KiB
C++
/*
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* Copyright (c) 2017-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/CL/CLTensor.h"
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#include "arm_compute/runtime/CL/CLTensorAllocator.h"
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#include "arm_compute/runtime/CL/functions/CLNormalizationLayer.h"
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#include "tests/CL/CLAccessor.h"
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#include "tests/PaddingCalculator.h"
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#include "tests/datasets/NormalizationTypesDataset.h"
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#include "tests/datasets/ShapeDatasets.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Macros.h"
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#include "tests/framework/datasets/Datasets.h"
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#include "tests/validation/Validation.h"
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#include "tests/validation/fixtures/NormalizationLayerFixture.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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namespace
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{
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/** Tolerance for float operations */
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RelativeTolerance<half> tolerance_f16(half(0.2));
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RelativeTolerance<float> tolerance_f32(0.05f);
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/** Input data set. */
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const auto NormalizationDatasetFP16 = combine(combine(combine(framework::dataset::make("NormType", { NormType::IN_MAP_1D, NormType::IN_MAP_2D, NormType::CROSS_MAP }),
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framework::dataset::make("NormalizationSize", 3, 9, 2)),
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framework::dataset::make("Beta", { 0.5f, 1.f, 2.f })),
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framework::dataset::make("IsScaled", { true }));
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const auto NormalizationDatasetFP32 = combine(combine(combine(framework::dataset::make("NormType", { NormType::IN_MAP_1D, NormType::IN_MAP_2D, NormType::CROSS_MAP }),
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framework::dataset::make("NormalizationSize", 3, 9, 2)),
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framework::dataset::make("Beta", { 0.5f, 1.f, 2.f })),
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framework::dataset::make("IsScaled", { true, false }));
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} // namespace
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TEST_SUITE(CL)
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TEST_SUITE(NormalizationLayer)
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//TODO(COMPMID-415): Missing configuration?
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// *INDENT-OFF*
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// clang-format off
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DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
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framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/output
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Even normalization
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Non implemented IN_MAP_2D
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Window shrink
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
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}),
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framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
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TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
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})),
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framework::dataset::make("NormInfo", { NormalizationLayerInfo(NormType::IN_MAP_1D, 5),
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NormalizationLayerInfo(NormType::IN_MAP_1D, 5),
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NormalizationLayerInfo(NormType::IN_MAP_1D, 4),
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NormalizationLayerInfo(NormType::IN_MAP_2D, 5),
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NormalizationLayerInfo(NormType::IN_MAP_1D, 5),
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NormalizationLayerInfo(NormType::CROSS_MAP, 5),
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})),
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framework::dataset::make("Expected", { false, false, false, false, false, true })),
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input_info, output_info, norm_info, expected)
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{
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ARM_COMPUTE_EXPECT(bool(CLNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), norm_info)) == expected, framework::LogLevel::ERRORS);
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}
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// clang-format on
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// *INDENT-ON*
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template <typename T>
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using CLNormalizationLayerFixture = NormalizationValidationFixture<CLTensor, CLAccessor, CLNormalizationLayer, T>;
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TEST_SUITE(Float)
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TEST_SUITE(FP16)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), NormalizationDatasetFP16),
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framework::dataset::make("DataType", DataType::F16)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_f16);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLNormalizationLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), NormalizationDatasetFP16),
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framework::dataset::make("DataType", DataType::F16)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_f16);
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}
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TEST_SUITE_END() // FP16
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TEST_SUITE(FP32)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), NormalizationDatasetFP32),
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framework::dataset::make("DataType", DataType::F32)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_f32);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLNormalizationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), NormalizationDatasetFP32),
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framework::dataset::make("DataType", DataType::F32)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_f32);
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}
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TEST_SUITE_END() // FP32
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TEST_SUITE_END() // Float
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TEST_SUITE_END() // NormalizationLayer
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TEST_SUITE_END() // CL
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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