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Diffstat (limited to 'tests/validation_new/CL/DirectConvolutionLayer.cpp')
-rw-r--r-- | tests/validation_new/CL/DirectConvolutionLayer.cpp | 129 |
1 files changed, 0 insertions, 129 deletions
diff --git a/tests/validation_new/CL/DirectConvolutionLayer.cpp b/tests/validation_new/CL/DirectConvolutionLayer.cpp deleted file mode 100644 index 1c698ace0f..0000000000 --- a/tests/validation_new/CL/DirectConvolutionLayer.cpp +++ /dev/null @@ -1,129 +0,0 @@ -/* - * Copyright (c) 2017 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/CLDirectConvolutionLayer.h" -#include "framework/Asserts.h" -#include "framework/Macros.h" -#include "framework/datasets/Datasets.h" -#include "tests/CL/CLAccessor.h" -#include "tests/PaddingCalculator.h" -#include "tests/datasets_new/ShapeDatasets.h" -#include "tests/validation_new/Validation.h" -#include "tests/validation_new/fixtures/DirectConvolutionLayerFixture.h" -#include "tests/validation_new/half.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -namespace -{ -constexpr AbsoluteTolerance<float> tolerance_fp16(0.1f); /**< Tolerance for floating point tests */ -constexpr AbsoluteTolerance<float> tolerance_fp32(0.001f); /**< Tolerance for floating point tests */ - -constexpr AbsoluteTolerance<int8_t> tolerance_qs8(0); /**< Tolerance for fixed point tests */ -constexpr AbsoluteTolerance<int16_t> tolerance_qs16(0); /**< Tolerance for fixed point tests */ - -/** 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 }))))); -} // namespace - -TEST_SUITE(CL) -TEST_SUITE(DirectConvolutionLayer) - -//TODO(COMPMID-415): Configuration tests? - -template <typename T> -using CLDirectConvolutionLayerFixture = DirectConvolutionValidationFixture<CLTensor, CLAccessor, CLDirectConvolutionLayer, T>; - -TEST_SUITE(Float) -TEST_SUITE(FP16) -FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixture<half_float::half>, framework::DatasetMode::ALL, combine(data, framework::dataset::make("DataType", DataType::F16))) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance_fp16); -} -TEST_SUITE_END() - -TEST_SUITE(FP32) -FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(data, framework::dataset::make("DataType", DataType::F32))) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance_fp32); -} -TEST_SUITE_END() -TEST_SUITE_END() - -template <typename T> -using CLDirectConvolutionLayerFixedPointFixture = DirectConvolutionValidationFixedPointFixture<CLTensor, CLAccessor, CLDirectConvolutionLayer, T>; - -TEST_SUITE(Quantized) -TEST_SUITE(QS8) -FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixedPointFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(data_quantized, framework::dataset::make("DataType", DataType::QS8)), - framework::dataset::make("FractionalBits", 2, 7))) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance_qs8); -} -TEST_SUITE_END() - -TEST_SUITE(QS16) -FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixedPointFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(data_quantized, framework::dataset::make("DataType", DataType::QS16)), - framework::dataset::make("FractionalBits", 2, 15))) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance_qs16); -} -TEST_SUITE_END() -TEST_SUITE_END() - -TEST_SUITE_END() -TEST_SUITE_END() -} // namespace validation -} // namespace test -} // namespace arm_compute |