| /* |
| * Copyright (c) 2017-2021 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/reference/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_ASSERT(src.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(dst_x.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(dst_y.info()->is_resizable()); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst_x.allocator()->allocate(); |
| dst_y.allocator()->allocate(); |
| |
| ARM_COMPUTE_ASSERT(!src.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(!dst_x.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(!dst_y.info()->is_resizable()); |
| |
| // 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 */ |