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Diffstat (limited to 'tests/validation/GLES_COMPUTE/DirectConvolutionLayer.cpp')
-rw-r--r-- | tests/validation/GLES_COMPUTE/DirectConvolutionLayer.cpp | 112 |
1 files changed, 0 insertions, 112 deletions
diff --git a/tests/validation/GLES_COMPUTE/DirectConvolutionLayer.cpp b/tests/validation/GLES_COMPUTE/DirectConvolutionLayer.cpp deleted file mode 100644 index 205a283300..0000000000 --- a/tests/validation/GLES_COMPUTE/DirectConvolutionLayer.cpp +++ /dev/null @@ -1,112 +0,0 @@ -/* - * Copyright (c) 2017-2020 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/GLES_COMPUTE/GCTensor.h" -#include "arm_compute/runtime/GLES_COMPUTE/GCTensorAllocator.h" -#include "arm_compute/runtime/GLES_COMPUTE/functions/GCDirectConvolutionLayer.h" -#include "tests/GLES_COMPUTE/GCAccessor.h" -#include "tests/PaddingCalculator.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/DirectConvolutionLayerFixture.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -namespace -{ -RelativeTolerance<half> tolerance_fp16(half(0.2)); /**< Tolerance for floating point tests */ -RelativeTolerance<float> tolerance_fp32(0.02f); /**< Tolerance for floating point tests */ -constexpr float tolerance_num = 0.07f; /**< Tolerance number */ - -/** Direct convolution data set. */ -const auto data_quantized = combine(datasets::SmallDirectConvolutionShapes(), - combine(framework::dataset::make("StrideX", 1, 3), - combine(framework::dataset::make("StrideY", 1, 3), - combine(concat(combine(framework::dataset::make("PadX", 0), - combine(framework::dataset::make("PadY", 0), - framework::dataset::make("KernelSize", 1))), - combine(framework::dataset::make("PadX", 0, 2), - combine(framework::dataset::make("PadY", 0, 2), - framework::dataset::make("KernelSize", { 3 })))), - framework::dataset::make("NumKernels", { 1, 4, 8, 16 }))))); - -const auto data = combine(datasets::SmallDirectConvolutionShapes(), - combine(framework::dataset::make("StrideX", 1, 3), - combine(framework::dataset::make("StrideY", 1, 3), - combine(concat(combine(framework::dataset::make("PadX", 0), - combine(framework::dataset::make("PadY", 0), - framework::dataset::make("KernelSize", 1))), - combine(framework::dataset::make("PadX", 0, 2), - combine(framework::dataset::make("PadY", 0, 2), - framework::dataset::make("KernelSize", { 3, 5 })))), - framework::dataset::make("NumKernels", { 1, 4, 8, 16 }))))); -/** Activation function Dataset*/ -const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo", -{ - ActivationLayerInfo(), - ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), - ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), -}); -} // namespace - -TEST_SUITE(GC) -TEST_SUITE(DirectConvolutionLayer) - -template <typename T> -using GCDirectConvolutionLayerFixture = DirectConvolutionValidationFixture<GCTensor, GCAccessor, GCDirectConvolutionLayer, T>; - -TEST_SUITE(Float) -TEST_SUITE(FP16) -FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerFixture<half_float::half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data, framework::dataset::make("DataType", DataType::F16)), - ActivationFunctionsDataset), - framework::dataset::make("DataLayout", DataLayout::NCHW))) -{ - // Validate output - validate(GCAccessor(_target), _reference, tolerance_fp16, tolerance_num); -} -TEST_SUITE_END() - -TEST_SUITE(FP32) -FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data, framework::dataset::make("DataType", DataType::F32)), - ActivationFunctionsDataset), - framework::dataset::make("DataLayout", DataLayout::NCHW))) -{ - // Validate output - validate(GCAccessor(_target), _reference, tolerance_fp32); -} -TEST_SUITE_END() -TEST_SUITE_END() - -TEST_SUITE_END() -TEST_SUITE_END() -} // namespace validation -} // namespace test -} // namespace arm_compute |