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-rw-r--r--src/core/CL/kernels/CLIntegralImageKernel.cpp112
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diff --git a/src/core/CL/kernels/CLIntegralImageKernel.cpp b/src/core/CL/kernels/CLIntegralImageKernel.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/CLIntegralImageKernel.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/Types.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/Window.h"
+
+#include <cstddef>
+
+using namespace arm_compute;
+
+void CLIntegralImageHorKernel::configure(const ICLTensor *input, ICLTensor *output)
+{
+ ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
+ ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U32);
+
+ _input = input;
+ _output = output;
+
+ // Create kernel
+ _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("integral_horizontal"));
+
+ // Configure kernel window
+ const unsigned int num_elems_processed_per_iteration = input->info()->dimension(0);
+ const unsigned int num_elems_accessed_per_iteration = ceil_to_multiple(num_elems_processed_per_iteration, 16);
+
+ Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
+ AccessWindowHorizontal output_access(output->info(), 0, num_elems_accessed_per_iteration);
+
+ update_window_and_padding(win,
+ AccessWindowHorizontal(input->info(), 0, num_elems_accessed_per_iteration),
+ output_access);
+
+ output_access.set_valid_region(win, input->info()->valid_region());
+
+ ICLKernel::configure(win);
+}
+
+CLIntegralImageVertKernel::CLIntegralImageVertKernel()
+ : _in_out(nullptr)
+{
+}
+
+void CLIntegralImageVertKernel::configure(ICLTensor *in_out)
+{
+ ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(in_out, 1, DataType::U32);
+
+ _in_out = in_out;
+
+ // Create kernel
+ _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("integral_vertical"));
+
+ // Configure kernel window
+ constexpr unsigned int num_elems_processed_per_iteration_x = 8;
+ const unsigned int num_elems_processed_per_iteration_y = in_out->info()->dimension(Window::DimY);
+
+ Window win = calculate_max_window(*in_out->info(), Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y));
+
+ AccessWindowRectangle in_out_access(in_out->info(), 0, 0, num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y);
+
+ update_window_and_padding(win, in_out_access);
+
+ in_out_access.set_valid_region(win, in_out->info()->valid_region());
+
+ ICLKernel::configure(win);
+}
+
+void CLIntegralImageVertKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+ const size_t height = _in_out->info()->dimension(1);
+
+ Window slice = window.first_slice_window_2D();
+
+ do
+ {
+ unsigned int idx = 0;
+ add_2D_tensor_argument(idx, _in_out, slice);
+ _kernel.setArg<cl_uint>(idx++, height);
+ enqueue(queue, *this, slice);
+ }
+ while(window.slide_window_slice_2D(slice));
+}