/* * Copyright (c) 2016-2018 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. */ #include "arm_compute/runtime/MultiImage.h" #include "arm_compute/core/Error.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Utils.h" #include "arm_compute/runtime/TensorAllocator.h" using namespace arm_compute; MultiImage::MultiImage() : _info(), _plane() { } const MultiImageInfo *MultiImage::info() const { return &_info; } void MultiImage::init(unsigned int width, unsigned int height, Format format) { internal_init(width, height, format, false); } void MultiImage::init_auto_padding(unsigned int width, unsigned int height, Format format) { internal_init(width, height, format, true); } void MultiImage::internal_init(unsigned int width, unsigned int height, Format format, bool auto_padding) { TensorShape shape = adjust_odd_shape(TensorShape{ width, height }, format); TensorInfo info(shape, Format::U8); if(auto_padding) { info.auto_padding(); } switch(format) { case Format::U8: case Format::S16: case Format::U16: case Format::S32: case Format::F16: case Format::F32: case Format::U32: case Format::RGB888: case Format::RGBA8888: case Format::YUYV422: case Format::UYVY422: { TensorInfo info_full(shape, format); if(auto_padding) { info_full.auto_padding(); } std::get<0>(_plane).allocator()->init(info_full); break; } case Format::NV12: case Format::NV21: { const TensorShape shape_uv88 = calculate_subsampled_shape(shape, Format::UV88); TensorInfo info_uv88(shape_uv88, Format::UV88); if(auto_padding) { info_uv88.auto_padding(); } std::get<0>(_plane).allocator()->init(info); std::get<1>(_plane).allocator()->init(info_uv88); break; } case Format::IYUV: { const TensorShape shape_sub2 = calculate_subsampled_shape(shape, Format::IYUV); TensorInfo info_sub2(shape_sub2, Format::U8); if(auto_padding) { info_sub2.auto_padding(); } std::get<0>(_plane).allocator()->init(info); std::get<1>(_plane).allocator()->init(info_sub2); std::get<2>(_plane).allocator()->init(info_sub2); break; } case Format::YUV444: std::get<0>(_plane).allocator()->init(info); std::get<1>(_plane).allocator()->init(info); std::get<2>(_plane).allocator()->init(info); break; default: ARM_COMPUTE_ERROR("Not supported"); break; } _info.init(shape.x(), shape.y(), format); } void MultiImage::allocate() { switch(_info.format()) { case Format::U8: case Format::S16: case Format::U16: case Format::S32: case Format::F16: case Format::F32: case Format::U32: case Format::RGB888: case Format::RGBA8888: case Format::YUYV422: case Format::UYVY422: std::get<0>(_plane).allocator()->allocate(); break; case Format::NV12: case Format::NV21: std::get<0>(_plane).allocator()->allocate(); std::get<1>(_plane).allocator()->allocate(); break; case Format::IYUV: case Format::YUV444: std::get<0>(_plane).allocator()->allocate(); std::get<1>(_plane).allocator()->allocate(); std::get<2>(_plane).allocator()->allocate(); break; default: ARM_COMPUTE_ERROR("Not supported"); break; } } void MultiImage::create_subimage(MultiImage *image, const Coordinates &coords, unsigned int width, unsigned int height) { arm_compute::Format format = image->info()->format(); const TensorInfo info(width, height, Format::U8); switch(format) { case Format::U8: case Format::S16: case Format::U16: case Format::S32: case Format::F32: case Format::F16: case Format::U32: case Format::RGB888: case Format::RGBA8888: case Format::YUYV422: case Format::UYVY422: { const TensorInfo info_full(width, height, format); std::get<0>(_plane).allocator()->init(*dynamic_cast(image->plane(0))->allocator(), coords, info_full); break; } case Format::NV12: case Format::NV21: { const TensorInfo info_uv88(width / 2, height / 2, Format::UV88); std::get<0>(_plane).allocator()->init(*dynamic_cast(image->plane(0))->allocator(), coords, info); std::get<1>(_plane).allocator()->init(*dynamic_cast(image->plane(1))->allocator(), coords, info_uv88); break; } case Format::IYUV: { const TensorInfo info_sub2(width / 2, height / 2, Format::U8); std::get<0>(_plane).allocator()->init(*dynamic_cast(image->plane(0))->allocator(), coords, info); std::get<1>(_plane).allocator()->init(*dynamic_cast(image->plane(1))->allocator(), coords, info_sub2); std::get<2>(_plane).allocator()->init(*dynamic_cast(image->plane(2))->allocator(), coords, info_sub2); break; } case Format::YUV444: std::get<0>(_plane).allocator()->init(*dynamic_cast(image->plane(0))->allocator(), coords, info); std::get<1>(_plane).allocator()->init(*dynamic_cast(image->plane(0))->allocator(), coords, info); std::get<2>(_plane).allocator()->init(*dynamic_cast(image->plane(0))->allocator(), coords, info); break; default: ARM_COMPUTE_ERROR("Not supported"); break; } _info.init(width, height, format); } Image *MultiImage::plane(unsigned int index) { return &_plane[index]; } const Image *MultiImage::plane(unsigned int index) const { return &_plane[index]; }