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Diffstat (limited to 'src/runtime/NEON/functions/NECropResize.cpp')
| -rw-r--r-- | src/runtime/NEON/functions/NECropResize.cpp | 113 |
1 files changed, 113 insertions, 0 deletions
diff --git a/src/runtime/NEON/functions/NECropResize.cpp b/src/runtime/NEON/functions/NECropResize.cpp new file mode 100644 index 0000000000..4360b50dfb --- /dev/null +++ b/src/runtime/NEON/functions/NECropResize.cpp @@ -0,0 +1,113 @@ +/* + * Copyright (c) 2019 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() +{ +} + +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 = arm_compute::support::cpp14::make_unique<NECropKernel[]>(_num_boxes); + _crop_results = arm_compute::support::cpp14::make_unique<Tensor[]>(_num_boxes); + _scale = arm_compute::support::cpp14::make_unique<NEScale[]>(_num_boxes); + _scaled_results = arm_compute::support::cpp14::make_unique<Tensor[]>(_num_boxes); + + for(unsigned int i = 0; i < _num_boxes; ++i) + { + TensorInfo crop_result_info(1, DataType::F32); + crop_result_info.set_data_layout(DataLayout::NHWC); + _crop_results[i].allocator()->init(crop_result_info); + + TensorInfo scaled_result_info(out_shape, 1, DataType::F32); + scaled_result_info.set_data_layout(DataLayout::NHWC); + _scaled_results[i].allocator()->init(scaled_result_info); + + _crop[i].configure(input, boxes, box_ind, &_crop_results[i], i, _extrapolation_value); + } +} + +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], Window::DimZ); + + // Scale the cropped image. + _scale[i].configure(&_crop_results[i], &_scaled_results[i], _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
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