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/*
* 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.
*/
#include "arm_compute/core/CL/kernels/CLBoundingBoxTransformKernel.h"
#include "arm_compute/core/AccessWindowStatic.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/CL/CLValidate.h"
#include "arm_compute/core/CL/ICLArray.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/CL/OpenCL.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Window.h"
namespace arm_compute
{
namespace
{
Status validate_arguments(const ITensorInfo *boxes, const ITensorInfo *pred_boxes, const ITensorInfo *deltas)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(boxes, pred_boxes, deltas);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(boxes, DataType::F32, DataType::F16);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(deltas, DataType::F32, DataType::F16);
ARM_COMPUTE_RETURN_ERROR_ON(deltas->tensor_shape()[1] != boxes->tensor_shape()[1]);
ARM_COMPUTE_RETURN_ERROR_ON(deltas->tensor_shape()[0] % 4 != 0);
ARM_COMPUTE_RETURN_ERROR_ON(boxes->tensor_shape()[0] != 4);
ARM_COMPUTE_RETURN_ERROR_ON(deltas->num_dimensions() > 2);
ARM_COMPUTE_RETURN_ERROR_ON(boxes->num_dimensions() > 2);
if(pred_boxes->total_size() > 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(pred_boxes->tensor_shape(), deltas->tensor_shape());
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(pred_boxes, deltas);
ARM_COMPUTE_RETURN_ERROR_ON(pred_boxes->num_dimensions() > 2);
}
return Status{};
}
} // namespace
CLBoundingBoxTransformKernel::CLBoundingBoxTransformKernel()
: _boxes(nullptr), _pred_boxes(nullptr), _deltas(nullptr)
{
}
void CLBoundingBoxTransformKernel::configure(const ICLTensor *boxes, ICLTensor *pred_boxes, const ICLTensor *deltas, const BoundingBoxTransformInfo &info)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(boxes, pred_boxes, deltas);
auto_init_if_empty(*pred_boxes->info(), *deltas->info());
// Set instance variables
_boxes = boxes;
_pred_boxes = pred_boxes;
_deltas = deltas;
// Get image height and widht (rescaled)
const int img_h = floor(info.img_height() / info.scale() + 0.5f);
const int img_w = floor(info.img_width() / info.scale() + 0.5f);
// Set build options
CLBuildOptions build_opts;
build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(deltas->info()->data_type()));
build_opts.add_option("-DWEIGHT_X=" + float_to_string_with_full_precision(info.weights()[0]));
build_opts.add_option("-DWEIGHT_Y=" + float_to_string_with_full_precision(info.weights()[1]));
build_opts.add_option("-DWEIGHT_W=" + float_to_string_with_full_precision(info.weights()[2]));
build_opts.add_option("-DWEIGHT_H=" + float_to_string_with_full_precision(info.weights()[3]));
build_opts.add_option("-DBBOX_XFORM_CLIP=" + float_to_string_with_full_precision(info.bbox_xform_clip()));
build_opts.add_option("-DIMG_WIDTH=" + support::cpp11::to_string(img_w));
build_opts.add_option("-DIMG_HEIGHT=" + support::cpp11::to_string(img_h));
build_opts.add_option("-DBOX_FIELDS=" + support::cpp11::to_string(4));
build_opts.add_option_if(info.apply_scale(), "-DSCALE=" + float_to_string_with_full_precision(info.scale()));
// Create kernel
_kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("bounding_box_transform", build_opts.options()));
// Since the number of columns is a multiple of 4 by definition, we don't need to pad the tensor
const unsigned int num_elems_processed_per_iteration = 4;
Window win = calculate_max_window(*deltas->info(), Steps(num_elems_processed_per_iteration));
ICLKernel::configure_internal(win);
}
Status CLBoundingBoxTransformKernel::validate(const ITensorInfo *boxes, const ITensorInfo *pred_boxes, const ITensorInfo *deltas, const BoundingBoxTransformInfo &info)
{
ARM_COMPUTE_UNUSED(info);
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(boxes, pred_boxes, deltas));
return Status{};
}
void CLBoundingBoxTransformKernel::run(const Window &window, cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
Window slice = window.first_slice_window_2D();
// Set arguments
unsigned int idx = 0;
add_1D_tensor_argument(idx, _boxes, slice);
add_2D_tensor_argument(idx, _pred_boxes, slice);
add_2D_tensor_argument(idx, _deltas, slice);
// Note that we don't need to loop over the slices, as we are sure that we are dealing with all 2D tensors
enqueue(queue, *this, slice);
}
} // namespace arm_compute
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