COMPMID-344 Updated doxygen

Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae

1 files changed, 114 insertions, 0 deletions

diff --git a/src/runtime/CL/functions/CLConvolution.cpp b/src/runtime/CL/functions/CLConvolution.cpp
new file mode 100644
index 0000000000..21b5d47679
--- /dev/null
+++ b/src/runtime/CL/functions/CLConvolution.cpp
@@ -0,0 +1,114 @@
+/*
+ * 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/CL/functions/CLConvolution.h"
+
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/CL/kernels/CLConvolutionKernel.h"
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.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/CL/CLScheduler.h"
+#include "arm_compute/runtime/ITensorAllocator.h"
+
+#include <utility>
+
+using namespace arm_compute;
+
+void CLConvolution3x3::configure(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value)
+{
+    auto k = arm_compute::cpp14::make_unique<CLConvolution3x3Kernel>();
+    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>
+CLConvolutionSquare<matrix_size>::CLConvolutionSquare()
+    : _tmp(), _is_separable(false), _kernel_hor(), _kernel_vert(), _kernel(), _border_handler()
+{
+}
+
+template <unsigned int matrix_size>
+void CLConvolutionSquare<matrix_size>::configure(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
+    ARM_COMPUTE_ERROR_ON(conv == nullptr);
+    int16_t conv_col[matrix_size];
+    int16_t conv_row[matrix_size];
+    _is_separable = separate_matrix(conv, conv_col, conv_row, matrix_size);
+
+    if(_is_separable)
+    {
+        std::pair<DataType, DataType> type_pair = data_type_for_convolution(conv_col, conv_row, matrix_size);
+        _tmp.allocator()->init(TensorInfo(input->info()->tensor_shape(), 1, type_pair.first));
+
+        if(scale == 0)
+        {
+            scale = calculate_matrix_scale(conv, matrix_size);
+        }
+
+        _kernel_hor.configure(input, &_tmp, conv_row, border_mode == BorderMode::UNDEFINED);
+        _kernel_vert.configure(&_tmp, output, conv_col, scale, border_mode == BorderMode::UNDEFINED, type_pair.second);
+        _border_handler.configure(input, _kernel_hor.border_size(), border_mode, PixelValue(constant_border_value));
+
+        // Allocate intermediate buffer
+        _tmp.allocator()->allocate();
+    }
+    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                   CLConvolutionSquare<matrix_size>::run()
+{
+    CLScheduler::get().enqueue(_border_handler);
+
+    if(_is_separable)
+    {
+        CLScheduler::get().enqueue(_kernel_hor, false);
+        CLScheduler::get().enqueue(_kernel_vert);
+    }
+    else
+    {
+        CLScheduler::get().enqueue(_kernel);
+    }
+}
+
+template class arm_compute::CLConvolutionSquare<5>;
+template class arm_compute::CLConvolutionSquare<7>;
+template class arm_compute::CLConvolutionSquare<9>;
+
+void CLConvolutionRectangle::configure(ICLTensor *input, ICLTensor *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<CLConvolutionRectangleKernel>();
+    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));
+}