| /* |
| * Copyright (c) 2017-2020 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/CLHOGDetectorKernel.h" |
| |
| #include "arm_compute/core/CL/CLHelpers.h" |
| #include "arm_compute/core/CL/CLKernelLibrary.h" |
| #include "arm_compute/core/CL/ICLHOG.h" |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Validate.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| #include "support/StringSupport.h" |
| |
| using namespace arm_compute; |
| |
| CLHOGDetectorKernel::CLHOGDetectorKernel() |
| : _input(nullptr), _detection_windows(), _num_detection_windows(nullptr) |
| { |
| } |
| |
| void CLHOGDetectorKernel::configure(const ICLTensor *input, const ICLHOG *hog, ICLDetectionWindowArray *detection_windows, cl::Buffer *num_detection_windows, const Size2D &detection_window_stride, |
| float threshold, uint16_t idx_class) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, hog, detection_windows, num_detection_windows, detection_window_stride, threshold, idx_class); |
| } |
| |
| void CLHOGDetectorKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLHOG *hog, ICLDetectionWindowArray *detection_windows, cl::Buffer *num_detection_windows, |
| const Size2D &detection_window_stride, |
| float threshold, uint16_t idx_class) |
| { |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_NOT_IN(input, DataType::F32); |
| ARM_COMPUTE_ERROR_ON(hog == nullptr); |
| ARM_COMPUTE_ERROR_ON(detection_windows == nullptr); |
| ARM_COMPUTE_ERROR_ON(num_detection_windows == nullptr); |
| ARM_COMPUTE_ERROR_ON((detection_window_stride.width % hog->info()->block_stride().width) != 0); |
| ARM_COMPUTE_ERROR_ON((detection_window_stride.height % hog->info()->block_stride().height) != 0); |
| |
| const Size2D &detection_window_size = hog->info()->detection_window_size(); |
| const Size2D &block_size = hog->info()->block_size(); |
| const Size2D &block_stride = hog->info()->block_stride(); |
| |
| _input = input; |
| _detection_windows = detection_windows; |
| _num_detection_windows = num_detection_windows; |
| |
| const unsigned int num_bins_per_descriptor_x = ((detection_window_size.width - block_size.width) / block_stride.width + 1) * input->info()->num_channels(); |
| const unsigned int num_blocks_per_descriptor_y = (detection_window_size.height - block_size.height) / block_stride.height + 1; |
| |
| ARM_COMPUTE_ERROR_ON((num_bins_per_descriptor_x * num_blocks_per_descriptor_y + 1) != hog->info()->descriptor_size()); |
| |
| std::stringstream args_str; |
| args_str << "-DNUM_BLOCKS_PER_DESCRIPTOR_Y=" << num_blocks_per_descriptor_y << " "; |
| args_str << "-DNUM_BINS_PER_DESCRIPTOR_X=" << num_bins_per_descriptor_x << " "; |
| args_str << "-DTHRESHOLD=" << threshold << " "; |
| args_str << "-DMAX_NUM_DETECTION_WINDOWS=" << detection_windows->max_num_values() << " "; |
| args_str << "-DIDX_CLASS=" << idx_class << " "; |
| args_str << "-DDETECTION_WINDOW_WIDTH=" << detection_window_size.width << " "; |
| args_str << "-DDETECTION_WINDOW_HEIGHT=" << detection_window_size.height << " "; |
| args_str << "-DDETECTION_WINDOW_STRIDE_WIDTH=" << detection_window_stride.width << " "; |
| args_str << "-DDETECTION_WINDOW_STRIDE_HEIGHT=" << detection_window_stride.height << " "; |
| |
| // Construct kernel name |
| std::set<std::string> build_opts = {}; |
| build_opts.insert(args_str.str()); |
| |
| // Create kernel |
| const std::string kernel_name = std::string("hog_detector"); |
| _kernel = create_kernel(compile_context, kernel_name, build_opts); |
| |
| // Set static kernel arguments |
| unsigned int idx = num_arguments_per_2D_tensor(); // Skip the input parameters |
| _kernel.setArg(idx++, hog->cl_buffer()); |
| _kernel.setArg(idx++, detection_windows->cl_buffer()); |
| _kernel.setArg(idx++, *_num_detection_windows); |
| |
| // Get the number of blocks along the x and y directions of the input tensor |
| const ValidRegion &valid_region = input->info()->valid_region(); |
| const size_t num_blocks_x = valid_region.shape[0]; |
| const size_t num_blocks_y = valid_region.shape[1]; |
| |
| // Get the number of blocks along the x and y directions of the detection window |
| const size_t num_blocks_per_detection_window_x = detection_window_size.width / block_stride.width; |
| const size_t num_blocks_per_detection_window_y = detection_window_size.height / block_stride.height; |
| |
| const size_t window_step_x = detection_window_stride.width / block_stride.width; |
| const size_t window_step_y = detection_window_stride.height / block_stride.height; |
| |
| // Configure kernel window |
| Window win; |
| win.set(Window::DimX, Window::Dimension(0, floor_to_multiple(num_blocks_x - num_blocks_per_detection_window_x, window_step_x) + window_step_x, window_step_x)); |
| win.set(Window::DimY, Window::Dimension(0, floor_to_multiple(num_blocks_y - num_blocks_per_detection_window_y, window_step_y) + window_step_y, window_step_y)); |
| |
| constexpr unsigned int num_elems_read_per_iteration = 1; |
| const unsigned int num_rows_read_per_iteration = num_blocks_per_descriptor_y; |
| |
| update_window_and_padding(win, AccessWindowRectangle(input->info(), 0, 0, num_elems_read_per_iteration, num_rows_read_per_iteration)); |
| |
| ICLKernel::configure_internal(win); |
| |
| // Set config_id for enabling LWS tuning |
| _config_id = kernel_name; |
| _config_id += "_"; |
| _config_id += lower_string(string_from_data_type(input->info()->data_type())); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(input->info()->dimension(0)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(input->info()->dimension(1)); |
| } |
| |
| void CLHOGDetectorKernel::run(const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); |
| |
| Window slice = window.first_slice_window_2D(); |
| do |
| { |
| unsigned int idx = 0; |
| add_2D_tensor_argument(idx, _input, slice); |
| |
| enqueue(queue, *this, slice, lws_hint()); |
| } |
| while(window.slide_window_slice_2D(slice)); |
| } |