| /* |
| * 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/core/CL/kernels/CLGenerateProposalsLayerKernel.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 *anchors, const ITensorInfo *all_anchors, const ComputeAnchorsInfo &info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(anchors, all_anchors); |
| ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(anchors); |
| ARM_COMPUTE_RETURN_ERROR_ON(anchors->dimension(0) != info.values_per_roi()); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(anchors, DataType::F16, DataType::F32); |
| ARM_COMPUTE_RETURN_ERROR_ON(anchors->num_dimensions() > 2); |
| if(all_anchors->total_size() > 0) |
| { |
| size_t feature_height = info.feat_height(); |
| size_t feature_width = info.feat_width(); |
| size_t num_anchors = anchors->dimension(1); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(all_anchors, anchors); |
| ARM_COMPUTE_RETURN_ERROR_ON(all_anchors->num_dimensions() > 2); |
| ARM_COMPUTE_RETURN_ERROR_ON(all_anchors->dimension(0) != info.values_per_roi()); |
| ARM_COMPUTE_RETURN_ERROR_ON(all_anchors->dimension(1) != feature_height * feature_width * num_anchors); |
| } |
| return Status{}; |
| } |
| } // namespace |
| |
| CLComputeAllAnchorsKernel::CLComputeAllAnchorsKernel() |
| : _anchors(nullptr), _all_anchors(nullptr) |
| { |
| } |
| |
| void CLComputeAllAnchorsKernel::configure(const ICLTensor *anchors, ICLTensor *all_anchors, const ComputeAnchorsInfo &info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(anchors, all_anchors); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(anchors->info(), all_anchors->info(), info)); |
| |
| // Metadata |
| const size_t num_anchors = anchors->info()->dimension(1); |
| const DataType data_type = anchors->info()->data_type(); |
| const float width = info.feat_width(); |
| const float height = info.feat_height(); |
| |
| // Initialize the output if empty |
| const TensorShape output_shape(info.values_per_roi(), width * height * num_anchors); |
| auto_init_if_empty(*all_anchors->info(), output_shape, 1, data_type); |
| |
| // Set instance variables |
| _anchors = anchors; |
| _all_anchors = all_anchors; |
| |
| // Set build options |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type)); |
| build_opts.add_option("-DWIDTH=" + float_to_string_with_full_precision(width)); |
| build_opts.add_option("-DHEIGHT=" + float_to_string_with_full_precision(height)); |
| build_opts.add_option("-DSTRIDE=" + float_to_string_with_full_precision(1.f / info.spatial_scale())); |
| build_opts.add_option("-DNUM_ANCHORS=" + support::cpp11::to_string(num_anchors)); |
| build_opts.add_option("-DNUM_ROI_FIELDS=" + support::cpp11::to_string(info.values_per_roi())); |
| |
| // Create kernel |
| _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("generate_proposals_compute_all_anchors", build_opts.options())); |
| |
| // The tensor all_anchors can be interpreted as an array of structs (each structs has values_per_roi fields). |
| // This means we don't need to pad on the X dimension, as we know in advance how many fields |
| // compose the struct. |
| Window win = calculate_max_window(*all_anchors->info(), Steps(info.values_per_roi())); |
| ICLKernel::configure_internal(win); |
| } |
| |
| Status CLComputeAllAnchorsKernel::validate(const ITensorInfo *anchors, const ITensorInfo *all_anchors, const ComputeAnchorsInfo &info) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(anchors, all_anchors, info)); |
| return Status{}; |
| } |
| |
| void CLComputeAllAnchorsKernel::run(const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); |
| |
| // Collapse everything on the first dimension |
| Window collapsed = window.collapse(ICLKernel::window(), Window::DimX); |
| |
| // Set arguments |
| unsigned int idx = 0; |
| add_1D_tensor_argument(idx, _anchors, collapsed); |
| add_1D_tensor_argument(idx, _all_anchors, collapsed); |
| |
| // Note that we don't need to loop over the slices, as we are launching exactly |
| // as many threads as all the anchors generated |
| enqueue(queue, *this, collapsed); |
| } |
| } // namespace arm_compute |