COMPMID-344 Updated doxygen

Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae

1 files changed, 218 insertions, 0 deletions

diff --git a/src/core/CL/kernels/CLGaussianPyramidKernel.cpp b/src/core/CL/kernels/CLGaussianPyramidKernel.cpp
new file mode 100644
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+++ b/src/core/CL/kernels/CLGaussianPyramidKernel.cpp
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+/*
+ * Copyright (c) 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/CLGaussianPyramidKernel.h"
+
+#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/Validate.h"
+
+using namespace arm_compute;
+
+CLGaussianPyramidHorKernel::CLGaussianPyramidHorKernel()
+    : _border_size(0), _l2_load_offset(0)
+{
+}
+
+BorderSize CLGaussianPyramidHorKernel::border_size() const
+{
+    return _border_size;
+}
+
+void CLGaussianPyramidHorKernel::configure(const ICLTensor *input, ICLTensor *output, bool border_undefined)
+{
+    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::U16);
+    ARM_COMPUTE_ERROR_ON(input->info()->dimension(0) != 2 * output->info()->dimension(0));
+    ARM_COMPUTE_ERROR_ON(input->info()->dimension(1) != output->info()->dimension(1));
+
+    for(size_t i = 2; i < Coordinates::num_max_dimensions; ++i)
+    {
+        ARM_COMPUTE_ERROR_ON(input->info()->dimension(i) != output->info()->dimension(i));
+    }
+
+    _input       = input;
+    _output      = output;
+    _border_size = BorderSize(border_undefined ? 0 : 2, 2);
+
+    // Create kernel
+    _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("gaussian1x5_sub_x"));
+
+    // Configure kernel window
+    constexpr unsigned int num_elems_processed_per_iteration = 16;
+    constexpr unsigned int num_elems_read_per_iteration      = 20;
+    constexpr unsigned int num_elems_written_per_iteration   = 8;
+    constexpr float        scale_x                           = 0.5f;
+
+    Window                 win = calculate_max_window_horizontal(*input->info(), Steps(num_elems_processed_per_iteration), border_undefined, border_size());
+    AccessWindowHorizontal output_access(output->info(), 0, num_elems_written_per_iteration, scale_x);
+
+    // Sub sampling selects odd pixels (1, 3, 5, ...) for images with even
+    // width and even pixels (0, 2, 4, ...) for images with odd width. (Whether
+    // a pixel is even or odd is determined based on the tensor shape not the
+    // valid region!)
+    // Thus the offset from which the first pixel (L2) for the convolution is
+    // loaded depends on the anchor and shape of the valid region.
+    // In the case of an even shape (= even image width) we need to load L2
+    // from -2 if the anchor is odd and from -1 if the anchor is even. That
+    // makes sure that L2 is always loaded from an odd pixel.
+    // On the other hand, for an odd shape (= odd image width) we need to load
+    // L2 from -1 if the anchor is odd and from -2 if the anchor is even to
+    // achieve the opposite effect.
+    // The condition can be simplified to checking whether anchor + shape is
+    // odd (-2) or even (-1) as only adding an odd and an even number will have
+    // an odd result.
+    _l2_load_offset = -border_size().left;
+
+    if((_input->info()->valid_region().anchor[0] + _input->info()->valid_region().shape[0]) % 2 == 0)
+    {
+        _l2_load_offset += 1;
+    }
+
+    update_window_and_padding(win,
+                              AccessWindowHorizontal(input->info(), _l2_load_offset, num_elems_read_per_iteration),
+                              output_access);
+
+    ValidRegion valid_region = input->info()->valid_region();
+    valid_region.anchor.set(0, std::ceil((valid_region.anchor[0] + (border_undefined ? border_size().left : 0)) / 2.f));
+    valid_region.shape.set(0, (valid_region.shape[0] - (border_undefined ? border_size().right : 0)) / 2 - valid_region.anchor[0]);
+
+    output_access.set_valid_region(win, valid_region);
+
+    ICLKernel::configure(win);
+}
+
+void CLGaussianPyramidHorKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+    Window win_in(window);
+    win_in.shift(Window::DimX, _l2_load_offset);
+
+    //The output is half the width of the input:
+    Window win_out(window);
+    win_out.scale(Window::DimX, 0.5f);
+
+    Window slice_in  = win_in.first_slice_window_2D();
+    Window slice_out = win_out.first_slice_window_2D();
+
+    do
+    {
+        unsigned int idx = 0;
+        add_2D_tensor_argument(idx, _input, slice_in);
+        add_2D_tensor_argument(idx, _output, slice_out);
+        enqueue(queue, *this, slice_out);
+    }
+    while(win_in.slide_window_slice_2D(slice_in) && win_out.slide_window_slice_2D(slice_out));
+}
+
+CLGaussianPyramidVertKernel::CLGaussianPyramidVertKernel()
+    : _t2_load_offset(0)
+{
+}
+
+BorderSize CLGaussianPyramidVertKernel::border_size() const
+{
+    return BorderSize(2, 0);
+}
+
+void CLGaussianPyramidVertKernel::configure(const ICLTensor *input, ICLTensor *output, bool border_undefined)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U16);
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8);
+    ARM_COMPUTE_ERROR_ON(input->info()->dimension(0) != output->info()->dimension(0));
+    ARM_COMPUTE_ERROR_ON(input->info()->dimension(1) != 2 * output->info()->dimension(1));
+
+    for(size_t i = 2; i < Coordinates::num_max_dimensions; ++i)
+    {
+        ARM_COMPUTE_ERROR_ON(input->info()->dimension(i) != output->info()->dimension(i));
+    }
+
+    _input  = input;
+    _output = output;
+
+    // Create kernel
+    _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("gaussian5x1_sub_y"));
+
+    // Configure kernel window
+    constexpr unsigned int num_elems_processed_per_iteration = 8;
+    constexpr unsigned int num_rows_processed_per_iteration  = 2;
+    constexpr unsigned int num_elems_written_per_iteration   = 8;
+    constexpr unsigned int num_elems_read_per_iteration      = 8;
+    constexpr unsigned int num_rows_per_iteration            = 5;
+    constexpr float        scale_y                           = 0.5f;
+
+    Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration, num_rows_processed_per_iteration),
+                                      border_undefined, border_size());
+    AccessWindowRectangle output_access(output->info(), 0, 0, num_elems_written_per_iteration, num_rows_per_iteration, 1.f, scale_y);
+
+    // Determine whether we need to load even or odd rows. See above for a
+    // detailed explanation.
+    _t2_load_offset = -border_size().top;
+
+    if((_input->info()->valid_region().anchor[1] + _input->info()->valid_region().shape[1]) % 2 == 0)
+    {
+        _t2_load_offset += 1;
+    }
+
+    update_window_and_padding(win,
+                              AccessWindowRectangle(input->info(), 0, _t2_load_offset, num_elems_read_per_iteration, num_rows_per_iteration),
+                              output_access);
+
+    ValidRegion valid_region = input->info()->valid_region();
+    valid_region.anchor.set(1, std::ceil((valid_region.anchor[1] + (border_undefined ? border_size().top : 0)) / 2.f));
+    valid_region.shape.set(1, (valid_region.shape[1] - (border_undefined ? border_size().bottom : 0)) / 2 - valid_region.anchor[1]);
+
+    output_access.set_valid_region(win, valid_region);
+
+    ICLKernel::configure(win);
+}
+
+void CLGaussianPyramidVertKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
+    ARM_COMPUTE_ERROR_ON(window.x().step() != 8);
+    ARM_COMPUTE_ERROR_ON(window.y().step() % 2);
+
+    Window win_in(window);
+    win_in.shift(Window::DimY, _t2_load_offset);
+
+    Window win_out(window);
+    win_out.scale(Window::DimY, 0.5f);
+
+    Window slice_in  = win_in.first_slice_window_2D();
+    Window slice_out = win_out.first_slice_window_2D();
+
+    do
+    {
+        unsigned int idx = 0;
+        add_2D_tensor_argument(idx, _input, slice_in);
+        add_2D_tensor_argument(idx, _output, slice_out);
+        enqueue(queue, *this, slice_out);
+    }
+    while(win_in.slide_window_slice_2D(slice_in) && win_out.slide_window_slice_2D(slice_out));
+}