| /* |
| * Copyright (c) 2016-2020 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/CLHarrisCornersKernel.h" |
| |
| #include "arm_compute/core/CL/CLHelpers.h" |
| #include "arm_compute/core/CL/CLKernelLibrary.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/Validate.h" |
| #include "src/core/AccessWindowStatic.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| #include "support/StringSupport.h" |
| |
| #include <set> |
| #include <sstream> |
| #include <string> |
| |
| using namespace arm_compute; |
| |
| CLHarrisScoreKernel::CLHarrisScoreKernel() |
| : _input1(nullptr), _input2(nullptr), _output(nullptr), _sensitivity(), _strength_thresh(), _norm_factor(), _border_size(0) |
| { |
| } |
| |
| BorderSize CLHarrisScoreKernel::border_size() const |
| { |
| return _border_size; |
| } |
| |
| void CLHarrisScoreKernel::configure(const ICLImage *input1, const ICLImage *input2, ICLImage *output, |
| int32_t block_size, float norm_factor, float strength_thresh, float sensitivity, |
| bool border_undefined) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output, block_size, norm_factor, strength_thresh, sensitivity, border_undefined); |
| } |
| |
| void CLHarrisScoreKernel::configure(const CLCompileContext &compile_context, const ICLImage *input1, const ICLImage *input2, ICLImage *output, |
| int32_t block_size, float norm_factor, float strength_thresh, float sensitivity, |
| bool border_undefined) |
| { |
| ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(input1); |
| ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(input2); |
| ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(output); |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::S16, DataType::S32); |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input2, 1, DataType::S16, DataType::S32); |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::F32); |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input1, input2); |
| ARM_COMPUTE_ERROR_ON(!(block_size == 3 || block_size == 5 || block_size == 7)); |
| ARM_COMPUTE_ERROR_ON(0.0f == norm_factor); |
| |
| _input1 = input1; |
| _input2 = input2; |
| _output = output; |
| _sensitivity = sensitivity; |
| _strength_thresh = strength_thresh; |
| _norm_factor = norm_factor; |
| _border_size = BorderSize(block_size / 2); |
| |
| // Select kernel |
| std::stringstream harris_score_kernel_name; |
| harris_score_kernel_name << "harris_score_" << block_size << "x" << block_size; |
| |
| // Create build options |
| std::set<std::string> build_opts = { ("-DDATA_TYPE=" + get_cl_type_from_data_type(input1->info()->data_type())) }; |
| |
| // Create kernel |
| _kernel = create_kernel(compile_context, harris_score_kernel_name.str(), build_opts); |
| |
| // Set static kernel arguments |
| unsigned int idx = 3 * num_arguments_per_2D_tensor(); //Skip the input and output parameters |
| _kernel.setArg(idx++, sensitivity); |
| _kernel.setArg(idx++, strength_thresh); |
| _kernel.setArg(idx++, norm_factor); |
| |
| // Configure kernel window |
| constexpr unsigned int num_elems_processed_per_iteration = 4; |
| constexpr unsigned int num_elems_written_per_iteration = 4; |
| const unsigned int num_elems_read_per_iteration = block_size == 7 ? 10 : 8; |
| const unsigned int num_rows_read_per_iteration = block_size; |
| |
| Window win = calculate_max_window(*_input1->info(), Steps(num_elems_processed_per_iteration), border_undefined, border_size()); |
| |
| AccessWindowRectangle input1_access(input1->info(), -border_size().left, -border_size().top, num_elems_read_per_iteration, num_rows_read_per_iteration); |
| AccessWindowRectangle input2_access(input2->info(), -border_size().left, -border_size().top, num_elems_read_per_iteration, num_rows_read_per_iteration); |
| AccessWindowHorizontal output_access(output->info(), 0, num_elems_written_per_iteration); |
| |
| update_window_and_padding(win, input1_access, input2_access, output_access); |
| |
| ValidRegion valid_region = intersect_valid_regions(input1->info()->valid_region(), input2->info()->valid_region()); |
| output_access.set_valid_region(win, valid_region, border_undefined, border_size()); |
| |
| ICLKernel::configure_internal(win); |
| |
| // Set config_id for enabling LWS tuning |
| _config_id = harris_score_kernel_name.str(); |
| _config_id += "_"; |
| _config_id += lower_string(string_from_data_type(input1->info()->data_type())); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(input1->info()->dimension(0)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(input1->info()->dimension(1)); |
| _config_id += "_"; |
| _config_id += lower_string(string_from_data_type(input2->info()->data_type())); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(input2->info()->dimension(0)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(input2->info()->dimension(1)); |
| } |
| |
| void CLHarrisScoreKernel::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, _input1, slice); |
| add_2D_tensor_argument(idx, _input2, slice); |
| add_2D_tensor_argument(idx, _output, slice); |
| enqueue(queue, *this, slice, lws_hint()); |
| } |
| while(window.slide_window_slice_2D(slice)); |
| } |