| /* |
| * Copyright (c) 2019-2020 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/NEScheduler.h" |
| |
| #include "arm_compute/runtime/NEON/functions/NECropResize.h" |
| |
| #include <cstddef> |
| |
| namespace arm_compute |
| { |
| NECropResize::NECropResize() |
| : _output(nullptr), _num_boxes(0), _method(), _extrapolation_value(0), _crop(), _scale(), _crop_results(), _scaled_results() |
| { |
| } |
| |
| Status NECropResize::validate(const ITensorInfo *input, const ITensorInfo *boxes, const ITensorInfo *box_ind, const ITensorInfo *output, |
| Coordinates2D crop_size, InterpolationPolicy method, float extrapolation_value) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON(crop_size.x <= 0 || crop_size.y <= 0); |
| ARM_COMPUTE_RETURN_ERROR_ON(method == InterpolationPolicy::AREA); |
| TensorInfo temp_info; |
| ARM_COMPUTE_RETURN_ON_ERROR(NECropKernel::validate(input->clone().get(), boxes->clone().get(), box_ind->clone().get(), &temp_info, boxes->tensor_shape()[1] - 1, extrapolation_value)); |
| if(output->total_size() > 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(output, DataType::F32); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output); |
| TensorShape out_shape(input->tensor_shape()[0], crop_size.x, crop_size.y, boxes->tensor_shape()[1]); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), out_shape); |
| } |
| return Status{}; |
| } |
| |
| void NECropResize::configure(const ITensor *input, const ITensor *boxes, const ITensor *box_ind, ITensor *output, Coordinates2D crop_size, |
| InterpolationPolicy method, float extrapolation_value) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_ERROR_THROW_ON(NECropResize::validate(input->info(), boxes->info(), box_ind->info(), output->info(), crop_size, method, extrapolation_value)); |
| |
| _num_boxes = boxes->info()->tensor_shape()[1]; |
| TensorShape out_shape(input->info()->tensor_shape()[0], crop_size.x, crop_size.y); |
| |
| _output = output; |
| _method = method; |
| _extrapolation_value = extrapolation_value; |
| |
| // For each crop box: |
| // - A crop kernel is used to extract the initial cropped image as specified by boxes[i] from the 3D image input[box_ind[i]]. |
| // - A tensor is required to hold this initial cropped image. |
| // - A scale function is used to resize the cropped image to the size specified by crop_size. |
| // - A tensor is required to hold the final scaled image before it is copied into the 4D output |
| // that will hold all final cropped and scaled 3D images. |
| _crop.reserve(_num_boxes); |
| _crop_results.reserve(_num_boxes); |
| _scaled_results.reserve(_num_boxes); |
| _scale.reserve(_num_boxes); |
| |
| for(unsigned int i = 0; i < _num_boxes; ++i) |
| { |
| auto crop_tensor = support::cpp14::make_unique<Tensor>(); |
| TensorInfo crop_result_info(1, DataType::F32); |
| crop_result_info.set_data_layout(DataLayout::NHWC); |
| crop_tensor->allocator()->init(crop_result_info); |
| |
| auto scale_tensor = support::cpp14::make_unique<Tensor>(); |
| TensorInfo scaled_result_info(out_shape, 1, DataType::F32); |
| scaled_result_info.set_data_layout(DataLayout::NHWC); |
| scale_tensor->allocator()->init(scaled_result_info); |
| |
| auto crop_kernel = support::cpp14::make_unique<NECropKernel>(); |
| auto scale_kernel = support::cpp14::make_unique<NEScale>(); |
| crop_kernel->configure(input, boxes, box_ind, crop_tensor.get(), i, _extrapolation_value); |
| |
| _crop.emplace_back(std::move(crop_kernel)); |
| _scaled_results.emplace_back(std::move(scale_tensor)); |
| _crop_results.emplace_back(std::move(crop_tensor)); |
| _scale.emplace_back(std::move(scale_kernel)); |
| } |
| } |
| |
| void NECropResize::run() |
| { |
| ARM_COMPUTE_ERROR_ON_MSG(_output == nullptr, "Unconfigured function"); |
| |
| for(unsigned int i = 0; i < _num_boxes; ++i) |
| { |
| // Size of the crop box in _boxes and thus the shape of _crop_results[i] |
| // may not be known until run-time and so the kernels cannot be configured until then. |
| _crop[i]->configure_output_shape(); |
| _crop_results[i]->allocator()->allocate(); |
| NEScheduler::get().schedule(_crop[i].get(), Window::DimZ); |
| |
| // Scale the cropped image. |
| _scale[i]->configure(_crop_results[i].get(), _scaled_results[i].get(), ScaleKernelInfo{ _method, BorderMode::CONSTANT, PixelValue(_extrapolation_value), SamplingPolicy::TOP_LEFT, false }); |
| _scaled_results[i]->allocator()->allocate(); |
| _scale[i]->run(); |
| |
| // Copy scaled image into output. |
| std::copy_n(_scaled_results[i]->buffer(), _scaled_results[i]->info()->total_size(), _output->ptr_to_element(Coordinates(0, 0, 0, i))); |
| } |
| } |
| } // namespace arm_compute |