| /* |
| * 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/NEON/functions/NELaplacianReconstruct.h" |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/IPyramid.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Validate.h" |
| #include "support/ToolchainSupport.h" |
| |
| #include <cstddef> |
| |
| using namespace arm_compute; |
| |
| NELaplacianReconstruct::NELaplacianReconstruct() // NOLINT |
| : _tmp_pyr(), |
| _addf(), |
| _scalef(), |
| _depthf() |
| { |
| } |
| |
| void NELaplacianReconstruct::configure(const IPyramid *pyramid, ITensor *input, ITensor *output, BorderMode border_mode, uint8_t constant_border_value) |
| { |
| ARM_COMPUTE_ERROR_ON(nullptr == pyramid); |
| ARM_COMPUTE_ERROR_ON(input == output); |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::S16); |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8); |
| ARM_COMPUTE_ERROR_ON(input->info()->num_dimensions() != pyramid->get_pyramid_level(0)->info()->num_dimensions()); |
| ARM_COMPUTE_ERROR_ON(output->info()->num_dimensions() != pyramid->get_pyramid_level(0)->info()->num_dimensions()); |
| ARM_COMPUTE_ERROR_ON(output->info()->dimension(0) != pyramid->get_pyramid_level(0)->info()->dimension(0)); |
| ARM_COMPUTE_ERROR_ON(output->info()->dimension(1) != pyramid->get_pyramid_level(0)->info()->dimension(1)); |
| ARM_COMPUTE_ERROR_ON(input->info()->dimension(0) != pyramid->get_pyramid_level(pyramid->info()->num_levels() - 1)->info()->dimension(0)); |
| ARM_COMPUTE_ERROR_ON(input->info()->dimension(1) != pyramid->get_pyramid_level(pyramid->info()->num_levels() - 1)->info()->dimension(1)); |
| |
| const size_t num_levels = pyramid->info()->num_levels(); |
| |
| // Create and initialize the tmp pyramid: I(n-2) = upsample( input + Laplace(n-1) ) |
| PyramidInfo pyramid_info; |
| pyramid_info.init(num_levels, 0.5f, output->info()->tensor_shape(), arm_compute::Format::S16); |
| |
| _tmp_pyr.init(pyramid_info); |
| |
| // Allocate add and scale functions. Level 0 does not need to be scaled. |
| _addf = arm_compute::support::cpp14::make_unique<NEArithmeticAddition[]>(num_levels); |
| _scalef = arm_compute::support::cpp14::make_unique<NEScale[]>(num_levels - 1); |
| |
| const size_t last_level = num_levels - 1; |
| |
| _addf[last_level].configure(input, pyramid->get_pyramid_level(last_level), _tmp_pyr.get_pyramid_level(last_level), ConvertPolicy::SATURATE); |
| |
| // Scale levels n-1 to 1, and add levels n-2 to 0 |
| for(size_t l = 0; l < last_level; ++l) |
| { |
| _scalef[l].configure(_tmp_pyr.get_pyramid_level(l + 1), _tmp_pyr.get_pyramid_level(l), arm_compute::InterpolationPolicy::NEAREST_NEIGHBOR, border_mode, constant_border_value); |
| _addf[l].configure(_tmp_pyr.get_pyramid_level(l), pyramid->get_pyramid_level(l), _tmp_pyr.get_pyramid_level(l), ConvertPolicy::SATURATE); |
| } |
| |
| // Convert level 0 from S16 to U8 |
| _depthf.configure(_tmp_pyr.get_pyramid_level(0), output, ConvertPolicy::SATURATE, 0); |
| |
| _tmp_pyr.allocate(); |
| } |
| |
| void NELaplacianReconstruct::run() |
| { |
| ARM_COMPUTE_ERROR_ON_MSG(_addf == nullptr, "Unconfigured function"); |
| |
| const size_t last_level = _tmp_pyr.info()->num_levels() - 1; |
| |
| _addf[last_level].run(); |
| |
| // Run l = [last_level - 1, 0] |
| for(size_t l = last_level; l-- > 0;) |
| { |
| _scalef[l].run(); |
| _addf[l].run(); |
| } |
| |
| _depthf.run(); |
| } |