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-rw-r--r--src/core/CL/kernels/CLHarrisCornersKernel.cpp126
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diff --git a/src/core/CL/kernels/CLHarrisCornersKernel.cpp b/src/core/CL/kernels/CLHarrisCornersKernel.cpp
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+++ b/src/core/CL/kernels/CLHarrisCornersKernel.cpp
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+/*
+ * Copyright (c) 2016, 2017 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/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/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/Window.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)
+{
+ 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 = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(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;
+ constexpr unsigned int num_elems_read_per_iteration = 8;
+ constexpr unsigned int num_rows_read_per_iteration = 3;
+
+ 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(win);
+}
+
+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);
+ }
+ while(window.slide_window_slice_2D(slice));
+}