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Diffstat (limited to 'tests/validation/fixtures/ScharrFixture.h')
| -rw-r--r-- | tests/validation/fixtures/ScharrFixture.h | 166 |
1 files changed, 166 insertions, 0 deletions
diff --git a/tests/validation/fixtures/ScharrFixture.h b/tests/validation/fixtures/ScharrFixture.h new file mode 100644 index 0000000000..f432f85032 --- /dev/null +++ b/tests/validation/fixtures/ScharrFixture.h @@ -0,0 +1,166 @@ +/* + * 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. + */ +#ifndef ARM_COMPUTE_TEST_SCHARR_FIXTURE +#define ARM_COMPUTE_TEST_SCHARR_FIXTURE + +#include "tests/Globals.h" +#include "tests/IAccessor.h" +#include "tests/Types.h" +#include "tests/framework/Asserts.h" +#include "tests/framework/Fixture.h" +#include "tests/validation/CPP/Scharr.h" + +#include <memory> + +namespace arm_compute +{ +class CLScharr3x3; +class NEScharr3x3; + +namespace test +{ +namespace validation +{ +namespace +{ +template <typename Function> +struct info; + +template <> +struct info<NEScharr3x3> +{ + static const Format dst_format = Format::S16; + static const int filter_size = 3; +}; + +template <> +struct info<CLScharr3x3> +{ + static const Format dst_format = Format::S16; + static const int filter_size = 3; +}; +} // namespace + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T, typename U> +class ScharrValidationFixture : 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); + } + + template <typename V> + void fill_zero(V &&tensor) + { + library->fill_tensor_uniform(tensor, 0, static_cast<U>(0), static_cast<U>(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 scharr; + + switch(gradient_dimension) + { + case GradientDimension::GRAD_X: + scharr.configure(&src, &dst_x, nullptr, border_mode, constant_border_value); + break; + case GradientDimension::GRAD_Y: + scharr.configure(&src, nullptr, &dst_y, border_mode, constant_border_value); + break; + case GradientDimension::GRAD_XY: + scharr.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)); + fill_zero(AccessorType(dst_x)); + fill_zero(AccessorType(dst_y)); + + // Compute function + scharr.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::scharr<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_SCHARR_FIXTURE */ |