| /* |
| * Copyright (c) 2018-2020 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 "src/core/CL/kernels/CLBoundingBoxTransformKernel.h" |
| |
| #include "arm_compute/core/CL/CLHelpers.h" |
| #include "arm_compute/core/CL/CLKernelLibrary.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 "src/core/AccessWindowStatic.h" |
| #include "src/core/CL/CLValidate.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| #include "support/StringSupport.h" |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *boxes, const ITensorInfo *pred_boxes, const ITensorInfo *deltas, const BoundingBoxTransformInfo &info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(boxes, pred_boxes, deltas); |
| ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(boxes); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(boxes, DataType::QASYMM16, DataType::F32, DataType::F16); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(deltas, DataType::QASYMM8, 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); |
| |
| const bool is_qasymm16 = boxes->data_type() == DataType::QASYMM16; |
| if(is_qasymm16) |
| { |
| const UniformQuantizationInfo boxes_qinfo = boxes->quantization_info().uniform(); |
| ARM_COMPUTE_RETURN_ERROR_ON(boxes_qinfo.scale != 0.125f); |
| ARM_COMPUTE_RETURN_ERROR_ON(boxes_qinfo.offset != 0); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(deltas, DataType::QASYMM8); |
| } |
| else |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(boxes, deltas); |
| } |
| |
| 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, boxes); |
| ARM_COMPUTE_RETURN_ERROR_ON(pred_boxes->num_dimensions() > 2); |
| if(is_qasymm16) |
| { |
| const UniformQuantizationInfo pred_boxes_qinfo = pred_boxes->quantization_info().uniform(); |
| ARM_COMPUTE_RETURN_ERROR_ON(pred_boxes_qinfo.scale != 0.125f); |
| ARM_COMPUTE_RETURN_ERROR_ON(pred_boxes_qinfo.offset != 0); |
| } |
| } |
| ARM_COMPUTE_RETURN_ERROR_ON(info.scale() <= 0); |
| |
| 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) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), boxes, pred_boxes, deltas, info); |
| } |
| |
| void CLBoundingBoxTransformKernel::configure(const CLCompileContext &compile_context, const ICLTensor *boxes, ICLTensor *pred_boxes, const ICLTensor *deltas, const BoundingBoxTransformInfo &info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(boxes, pred_boxes, deltas); |
| auto padding_info = get_padding_info({ boxes, pred_boxes, deltas }); |
| auto_init_if_empty(*pred_boxes->info(), deltas->info()->clone()->set_data_type(boxes->info()->data_type()).set_quantization_info(boxes->info()->quantization_info())); |
| |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(boxes->info(), pred_boxes->info(), deltas->info(), 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); |
| |
| const bool is_quantized = is_data_type_quantized(boxes->info()->data_type()); |
| |
| // Set build options |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(boxes->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("-DSCALE_BEFORE=" + float_to_string_with_full_precision(info.scale())); |
| build_opts.add_option_if(info.apply_scale(), "-DSCALE_AFTER=" + float_to_string_with_full_precision(info.scale())); |
| build_opts.add_option_if(info.correct_transform_coords(), "-DOFFSET=1"); |
| |
| if(is_quantized) |
| { |
| build_opts.add_option("-DDATA_TYPE_DELTAS=" + get_cl_type_from_data_type(deltas->info()->data_type())); |
| const UniformQuantizationInfo boxes_qinfo = boxes->info()->quantization_info().uniform(); |
| const UniformQuantizationInfo deltas_qinfo = deltas->info()->quantization_info().uniform(); |
| const UniformQuantizationInfo pred_boxes_qinfo = pred_boxes->info()->quantization_info().uniform(); |
| build_opts.add_option("-DOFFSET_BOXES=" + float_to_string_with_full_precision(boxes_qinfo.offset)); |
| build_opts.add_option("-DSCALE_BOXES=" + float_to_string_with_full_precision(boxes_qinfo.scale)); |
| build_opts.add_option("-DOFFSET_DELTAS=" + float_to_string_with_full_precision(deltas_qinfo.offset)); |
| build_opts.add_option("-DSCALE_DELTAS=" + float_to_string_with_full_precision(deltas_qinfo.scale)); |
| build_opts.add_option("-DOFFSET_PRED_BOXES=" + float_to_string_with_full_precision(pred_boxes_qinfo.offset)); |
| build_opts.add_option("-DSCALE_PRED_BOXES=" + float_to_string_with_full_precision(pred_boxes_qinfo.scale)); |
| } |
| |
| // Create kernel |
| const std::string kernel_name = (is_quantized) ? "bounding_box_transform_quantized" : "bounding_box_transform"; |
| _kernel = create_kernel(compile_context, kernel_name, 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); |
| ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); |
| } |
| |
| Status CLBoundingBoxTransformKernel::validate(const ITensorInfo *boxes, const ITensorInfo *pred_boxes, const ITensorInfo *deltas, const BoundingBoxTransformInfo &info) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(boxes, pred_boxes, deltas, info)); |
| 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, lws_hint()); |
| } |
| } // namespace arm_compute |