COMPMID-344 Updated doxygen

Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae

1 files changed, 120 insertions, 0 deletions

diff --git a/src/runtime/NEON/functions/NEConvolution.cpp b/src/runtime/NEON/functions/NEConvolution.cpp
new file mode 100644
index 0000000000..3f39ae2cbd
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+++ b/src/runtime/NEON/functions/NEConvolution.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/runtime/NEON/functions/NEConvolution.h"
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/NEON/kernels/NEConvolutionKernel.h"
+#include "arm_compute/core/PixelValue.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+
+#include <array>
+#include <utility>
+
+using namespace arm_compute;
+
+void NEConvolution3x3::configure(ITensor *input, ITensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value)
+{
+    auto k = arm_compute::cpp14::make_unique<NEConvolution3x3Kernel>();
+    k->configure(input, output, conv, scale, border_mode == BorderMode::UNDEFINED);
+    _kernel = std::move(k);
+    _border_handler.configure(input, _kernel->border_size(), border_mode, PixelValue(constant_border_value));
+}
+
+template <unsigned int matrix_size>
+NEConvolutionSquare<matrix_size>::NEConvolutionSquare()
+    : _tmp(), _is_separable(false), _kernel_hor(), _kernel_vert(), _kernel(), _border_handler()
+{
+}
+
+template <unsigned int matrix_size>
+void NEConvolutionSquare<matrix_size>::configure(ITensor *input, ITensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value)
+{
+    ARM_COMPUTE_ERROR_ON(conv == nullptr);
+    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::U8, DataType::S16);
+
+    std::array<int16_t, matrix_size> conv_col{ { 0 } };
+    std::array<int16_t, matrix_size> conv_row{ { 0 } };
+
+    _is_separable = separate_matrix(conv, conv_col.data(), conv_row.data(), matrix_size);
+
+    if(_is_separable)
+    {
+        DataType intermediate_type = DataType::UNKNOWN;
+        std::tie(std::ignore, intermediate_type) = data_type_for_convolution(conv_col.data(), conv_row.data(), matrix_size);
+
+        _tmp.allocator()->init(TensorInfo(input->info()->tensor_shape(), 1, intermediate_type));
+
+        if(scale == 0)
+        {
+            scale = calculate_matrix_scale(conv, matrix_size);
+        }
+
+        _kernel_hor.configure(input, &_tmp, conv_row.data(), border_mode == BorderMode::UNDEFINED);
+        _kernel_vert.configure(&_tmp, output, conv_col.data(), scale, border_mode == BorderMode::UNDEFINED);
+
+        _tmp.allocator()->allocate();
+
+        _border_handler.configure(input, _kernel_hor.border_size(), border_mode, PixelValue(constant_border_value));
+    }
+    else
+    {
+        _kernel.configure(input, output, conv, scale, border_mode == BorderMode::UNDEFINED);
+        _border_handler.configure(input, _kernel.border_size(), border_mode, PixelValue(constant_border_value));
+    }
+}
+
+template <unsigned int matrix_size>
+void                   NEConvolutionSquare<matrix_size>::run()
+{
+    _border_handler.run(_border_handler.window());
+
+    if(_is_separable)
+    {
+        NEScheduler::get().schedule(&_kernel_hor, Window::DimY);
+        NEScheduler::get().schedule(&_kernel_vert, Window::DimY);
+    }
+    else
+    {
+        NEScheduler::get().schedule(&_kernel, Window::DimY);
+    }
+}
+
+template class arm_compute::NEConvolutionSquare<5>;
+template class arm_compute::NEConvolutionSquare<7>;
+template class arm_compute::NEConvolutionSquare<9>;
+
+void NEConvolutionRectangle::configure(ITensor *input, ITensor *output, const int16_t *conv, uint32_t rows, uint32_t cols, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value)
+{
+    auto k = arm_compute::cpp14::make_unique<NEConvolutionRectangleKernel>();
+    k->configure(input, output, conv, rows, cols, scale, border_mode == BorderMode::UNDEFINED);
+    _kernel = std::move(k);
+    _border_handler.configure(input, _kernel->border_size(), border_mode, PixelValue(constant_border_value));
+}