COMPMID-344 Updated doxygen

Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae

1 files changed, 203 insertions, 0 deletions

diff --git a/src/core/NEON/kernels/NEGaussian5x5Kernel.cpp b/src/core/NEON/kernels/NEGaussian5x5Kernel.cpp
new file mode 100644
index 0000000000..f872cc2f0a
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+++ b/src/core/NEON/kernels/NEGaussian5x5Kernel.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/NEON/kernels/NEGaussian5x5Kernel.h"
+
+#include "arm_compute/core/Coordinates.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/NEON/INEKernel.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/Window.h"
+
+#include <arm_neon.h>
+#include <cstddef>
+#include <cstdint>
+
+using namespace arm_compute;
+
+NEGaussian5x5HorKernel::NEGaussian5x5HorKernel()
+    : _border_size(0)
+{
+}
+
+BorderSize NEGaussian5x5HorKernel::border_size() const
+{
+    return _border_size;
+}
+
+void NEGaussian5x5HorKernel::configure(const ITensor *input, ITensor *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::S16);
+
+    _input       = input;
+    _output      = output;
+    _border_size = BorderSize(border_undefined ? 0 : 2, 2);
+
+    // Configure kernel window
+    constexpr unsigned int num_elems_processed_per_iteration = 8;
+    constexpr unsigned int num_elems_read_per_iteration      = 16;
+    constexpr unsigned int num_elems_written_per_iteration   = 8;
+
+    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);
+
+    update_window_and_padding(win,
+                              AccessWindowHorizontal(input->info(), -border_size().left, num_elems_read_per_iteration),
+                              output_access);
+
+    output_access.set_valid_region(win, input->info()->valid_region(), border_undefined, border_size());
+
+    INEKernel::configure(win);
+}
+
+void NEGaussian5x5HorKernel::run(const Window &window)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
+
+    Window win_in(window);
+    win_in.shift(Window::DimX, -2);
+
+    Iterator input(_input, win_in);
+    Iterator output(_output, window);
+
+    static const int16x8_t six  = vdupq_n_s16(6);
+    static const int16x8_t four = vdupq_n_s16(4);
+
+    execute_window_loop(window, [&](const Coordinates & id)
+    {
+        uint8x16_t data = vld1q_u8(input.ptr());
+
+        const int16x8x2_t data_s16 =
+        {
+            {
+                vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(data))),
+                vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(data)))
+            }
+        };
+
+        int16x8_t out = vaddq_s16(data_s16.val[0], vextq_s16(data_s16.val[0], data_s16.val[1], 4));
+        out           = vmlaq_s16(out, vextq_s16(data_s16.val[0], data_s16.val[1], 1), four);
+        out           = vmlaq_s16(out, vextq_s16(data_s16.val[0], data_s16.val[1], 2), six);
+        out           = vmlaq_s16(out, vextq_s16(data_s16.val[0], data_s16.val[1], 3), four);
+
+        vst1q_s16(reinterpret_cast<int16_t *>(output.ptr()), out);
+    },
+    input, output);
+}
+
+BorderSize NEGaussian5x5VertKernel::border_size() const
+{
+    return BorderSize(2, 0);
+}
+
+void NEGaussian5x5VertKernel::configure(const ITensor *input, ITensor *output, bool border_undefined)
+{
+    ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(input, Format::S16);
+    ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(output, Format::U8);
+
+    _input  = input;
+    _output = output;
+
+    // Configure kernel window
+    constexpr unsigned int num_elems_processed_per_iteration = 16;
+    constexpr unsigned int num_elems_read_per_iteration      = 32;
+    constexpr unsigned int num_elems_written_per_iteration   = 16;
+    constexpr unsigned int num_rows_read_per_iteration       = 5;
+
+    Window                 win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration), border_undefined, border_size());
+    AccessWindowHorizontal output_access(output->info(), 0, num_elems_written_per_iteration);
+
+    update_window_and_padding(win,
+                              AccessWindowRectangle(input->info(), 0, -border_size().top, num_elems_read_per_iteration, num_rows_read_per_iteration),
+                              output_access);
+
+    output_access.set_valid_region(win, input->info()->valid_region(), border_undefined, border_size());
+
+    INEKernel::configure(win);
+}
+
+void NEGaussian5x5VertKernel::run(const Window &window)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INESimpleKernel::window(), window);
+
+    Iterator input(_input, window);
+    Iterator output(_output, window);
+
+    const uint8_t *input_top2_ptr = _input->ptr_to_element(Coordinates(0, -2));
+    const uint8_t *input_top_ptr  = _input->ptr_to_element(Coordinates(0, -1));
+    const uint8_t *input_mid_ptr  = _input->ptr_to_element(Coordinates(0, 0));
+    const uint8_t *input_low_ptr  = _input->ptr_to_element(Coordinates(0, 1));
+    const uint8_t *input_low2_ptr = _input->ptr_to_element(Coordinates(0, 2));
+
+    const uint16x8_t six  = vdupq_n_u16(6);
+    const uint16x8_t four = vdupq_n_u16(4);
+
+    execute_window_loop(window, [&](const Coordinates & id)
+    {
+        const size_t input_offset_high_s16 = input.offset();
+        const size_t input_offset_low_s16  = input.offset() + 16;
+
+        //HIGH DATA
+        //top2
+        uint16x8_t data_high = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_top2_ptr + input_offset_high_s16)));
+        uint16x8_t out_high  = data_high;
+        //top
+        data_high = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_top_ptr + input_offset_high_s16)));
+        out_high  = vmlaq_u16(out_high, data_high, four);
+        //mid
+        data_high = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_mid_ptr + input_offset_high_s16)));
+        out_high  = vmlaq_u16(out_high, data_high, six);
+        //low
+        data_high = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_low_ptr + input_offset_high_s16)));
+        out_high  = vmlaq_u16(out_high, data_high, four);
+        //low2
+        data_high = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_low2_ptr + input_offset_high_s16)));
+        out_high  = vaddq_u16(out_high, data_high);
+
+        //LOW DATA
+        //top2
+        uint16x8_t data_low = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_top2_ptr + input_offset_low_s16)));
+        uint16x8_t out_low  = data_low;
+        //top
+        data_low = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_top_ptr + input_offset_low_s16)));
+        out_low  = vmlaq_u16(out_low, data_low, four);
+        //mid
+        data_low = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_mid_ptr + input_offset_low_s16)));
+        out_low  = vmlaq_u16(out_low, data_low, six);
+        //low
+        data_low = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_low_ptr + input_offset_low_s16)));
+        out_low  = vmlaq_u16(out_low, data_low, four);
+        //low2
+        data_low = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_low2_ptr + input_offset_low_s16)));
+        out_low  = vaddq_u16(out_low, data_low);
+
+        vst1q_u8(output.ptr(), vcombine_u8(vqshrn_n_u16(out_high, 8),
+                                           vqshrn_n_u16(out_low, 8)));
+    },
+    input, output);
+}