/* * Copyright (c) 2018 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_COLOR_CONVERT_FIXTURE #define ARM_COMPUTE_TEST_COLOR_CONVERT_FIXTURE #include "arm_compute/core/TensorShape.h" #include "arm_compute/core/Types.h" #include "tests/Globals.h" #include "tests/Utils.h" #include "tests/framework/Fixture.h" namespace arm_compute { namespace test { namespace benchmark { template class ColorConvertFixture : public framework::Fixture { public: template void setup(TensorShape input_shape, Format src_format, Format dst_format) { _src_num_planes = num_planes_from_format(src_format); _dst_num_planes = num_planes_from_format(dst_format); TensorShape dst_shape = adjust_odd_shape(input_shape, src_format); dst_shape = adjust_odd_shape(dst_shape, dst_format); // Create tensors ref_src = create_multi_image(dst_shape, src_format); ref_dst = create_multi_image(dst_shape, dst_format); if(1U == _src_num_planes) { const TensorType *plane_src = static_cast(ref_src.plane(0)); if(1U == _dst_num_planes) { TensorType *plane_dst = static_cast(ref_dst.plane(0)); colorconvert_func.configure(plane_src, plane_dst); } else { colorconvert_func.configure(plane_src, &ref_dst); } } else { if(1U == _dst_num_planes) { TensorType *plane_dst = static_cast(ref_dst.plane(0)); colorconvert_func.configure(&ref_src, plane_dst); } else { colorconvert_func.configure(&ref_src, &ref_dst); } } // Allocate tensors ref_src.allocate(); ref_dst.allocate(); // Fill tensor planes for(unsigned int plane_idx = 0; plane_idx < _src_num_planes; ++plane_idx) { TensorType *src_plane = static_cast(ref_src.plane(plane_idx)); fill(AccessorType(*src_plane), plane_idx); } } void run() { colorconvert_func.run(); } void sync() { sync_if_necessary(); for(unsigned int plane_idx = 0; plane_idx < _dst_num_planes; ++plane_idx) { TensorType *dst_plane = static_cast(ref_dst.plane(plane_idx)); sync_tensor_if_necessary(*dst_plane); } } void teardown() { for(unsigned int plane_idx = 0; plane_idx < _src_num_planes; ++plane_idx) { TensorType *src_plane = static_cast(ref_src.plane(plane_idx)); src_plane->allocator()->free(); } for(unsigned int plane_idx = 0; plane_idx < _dst_num_planes; ++plane_idx) { TensorType *dst_plane = static_cast(ref_dst.plane(plane_idx)); dst_plane->allocator()->free(); } } protected: template void fill(U &&tensor, int i) { library->fill_tensor_uniform(tensor, i); } private: MultiImageType ref_src{}; MultiImageType ref_dst{}; FunctionType colorconvert_func{}; unsigned int _src_num_planes{}; unsigned int _dst_num_planes{}; }; } // namespace benchmark } // namespace test } // namespace arm_compute #endif /* ARM_COMPUTE_TEST_COLOR_CONVERT_FIXTURE */