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Diffstat (limited to 'tests/validation/fixtures/SobelFixture.h')
-rw-r--r-- | tests/validation/fixtures/SobelFixture.h | 192 |
1 files changed, 0 insertions, 192 deletions
diff --git a/tests/validation/fixtures/SobelFixture.h b/tests/validation/fixtures/SobelFixture.h deleted file mode 100644 index 61a6a80d70..0000000000 --- a/tests/validation/fixtures/SobelFixture.h +++ /dev/null @@ -1,192 +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. - */ -#ifndef ARM_COMPUTE_TEST_SOBEL_FIXTURE -#define ARM_COMPUTE_TEST_SOBEL_FIXTURE - -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "tests/AssetsLibrary.h" -#include "tests/Globals.h" -#include "tests/IAccessor.h" -#include "tests/framework/Asserts.h" -#include "tests/framework/Fixture.h" -#include "tests/validation/reference/Sobel.h" - -#include <memory> - -namespace arm_compute -{ -class CLSobel3x3; -class CLSobel5x5; -class CLSobel7x7; -class NESobel3x3; -class NESobel5x5; -class NESobel7x7; - -namespace test -{ -namespace validation -{ -namespace -{ -template <typename Function> -struct info; - -template <> -struct info<NESobel3x3> -{ - static const Format dst_format = Format::S16; - static const int filter_size = 3; -}; - -template <> -struct info<CLSobel3x3> -{ - static const Format dst_format = Format::S16; - static const int filter_size = 3; -}; - -template <> -struct info<NESobel5x5> -{ - static const Format dst_format = Format::S16; - static const int filter_size = 5; -}; - -template <> -struct info<CLSobel5x5> -{ - static const Format dst_format = Format::S16; - static const int filter_size = 5; -}; - -template <> -struct info<NESobel7x7> -{ - static const Format dst_format = Format::S32; - static const int filter_size = 7; -}; - -template <> -struct info<CLSobel7x7> -{ - static const Format dst_format = Format::S32; - static const int filter_size = 7; -}; -} // namespace - -template <typename TensorType, typename AccessorType, typename FunctionType, typename T, typename U> -class SobelValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, BorderMode border_mode, Format format, GradientDimension gradient_dimension) - { - // Generate a random constant value - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<uint8_t> int_dist(0, 255); - const uint8_t constant_border_value = int_dist(gen); - - _border_mode = border_mode; - _target = compute_target(shape, border_mode, format, constant_border_value, gradient_dimension); - _reference = compute_reference(shape, info<FunctionType>::filter_size, border_mode, format, constant_border_value, gradient_dimension); - } - -protected: - template <typename V> - void fill(V &&tensor) - { - library->fill_tensor_uniform(tensor, 0); - } - - std::pair<TensorType, TensorType> compute_target(const TensorShape &shape, BorderMode border_mode, Format format, uint8_t constant_border_value, GradientDimension gradient_dimension) - { - // Create tensors - TensorType src = create_tensor<TensorType>(shape, data_type_from_format(format)); - TensorType dst_x = create_tensor<TensorType>(shape, data_type_from_format(info<FunctionType>::dst_format)); - TensorType dst_y = create_tensor<TensorType>(shape, data_type_from_format(info<FunctionType>::dst_format)); - - src.info()->set_format(format); - dst_x.info()->set_format(info<FunctionType>::dst_format); - dst_y.info()->set_format(info<FunctionType>::dst_format); - - FunctionType sobel; - - switch(gradient_dimension) - { - case GradientDimension::GRAD_X: - sobel.configure(&src, &dst_x, nullptr, border_mode, constant_border_value); - break; - case GradientDimension::GRAD_Y: - sobel.configure(&src, nullptr, &dst_y, border_mode, constant_border_value); - break; - case GradientDimension::GRAD_XY: - sobel.configure(&src, &dst_x, &dst_y, border_mode, constant_border_value); - break; - default: - ARM_COMPUTE_ERROR("Gradient dimension not supported"); - } - - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst_x.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst_y.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Allocate tensors - src.allocator()->allocate(); - dst_x.allocator()->allocate(); - dst_y.allocator()->allocate(); - - ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!dst_x.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!dst_y.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Fill tensors - fill(AccessorType(src)); - - // Compute function - sobel.run(); - - return std::make_pair(std::move(dst_x), std::move(dst_y)); - } - - std::pair<SimpleTensor<U>, SimpleTensor<U>> compute_reference(const TensorShape &shape, int filter_size, BorderMode border_mode, Format format, uint8_t constant_border_value, - GradientDimension gradient_dimension) - { - // Create reference - SimpleTensor<T> src{ shape, format }; - - // Fill reference - fill(src); - - return reference::sobel<U>(src, filter_size, border_mode, constant_border_value, gradient_dimension); - } - - BorderMode _border_mode{ BorderMode::UNDEFINED }; - std::pair<TensorType, TensorType> _target{}; - std::pair<SimpleTensor<U>, SimpleTensor<U>> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_SOBEL_FIXTURE */ |