COMPMID-344 Updated doxygen

Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae
diff --git a/src/runtime/NEON/functions/NELaplacianReconstruct.cpp b/src/runtime/NEON/functions/NELaplacianReconstruct.cpp
new file mode 100644
index 0000000..36ac4a7
--- /dev/null
+++ b/src/runtime/NEON/functions/NELaplacianReconstruct.cpp
@@ -0,0 +1,100 @@
+/*
+ * 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/NELaplacianReconstruct.h"
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/IPyramid.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Validate.h"
+
+#include <cstddef>
+
+using namespace arm_compute;
+
+NELaplacianReconstruct::NELaplacianReconstruct()
+    : _tmp_pyr(), _addf(), _scalef(), _depthf()
+{
+}
+
+void NELaplacianReconstruct::configure(const IPyramid *pyramid, const ITensor *input, ITensor *output, BorderMode border_mode, uint8_t constant_border_value)
+{
+    ARM_COMPUTE_ERROR_ON(nullptr == pyramid);
+    ARM_COMPUTE_ERROR_ON(input == output);
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::S16);
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8);
+    ARM_COMPUTE_ERROR_ON(input->info()->num_dimensions() != pyramid->get_pyramid_level(0)->info()->num_dimensions());
+    ARM_COMPUTE_ERROR_ON(output->info()->num_dimensions() != pyramid->get_pyramid_level(0)->info()->num_dimensions());
+    ARM_COMPUTE_ERROR_ON(output->info()->dimension(0) != pyramid->get_pyramid_level(0)->info()->dimension(0));
+    ARM_COMPUTE_ERROR_ON(output->info()->dimension(1) != pyramid->get_pyramid_level(0)->info()->dimension(1));
+    ARM_COMPUTE_ERROR_ON(input->info()->dimension(0) != pyramid->get_pyramid_level(pyramid->info()->num_levels() - 1)->info()->dimension(0));
+    ARM_COMPUTE_ERROR_ON(input->info()->dimension(1) != pyramid->get_pyramid_level(pyramid->info()->num_levels() - 1)->info()->dimension(1));
+
+    const size_t num_levels = pyramid->info()->num_levels();
+
+    // Create and initialize the tmp pyramid: I(n-2) = upsample( input + Laplace(n-1) )
+    PyramidInfo pyramid_info;
+    pyramid_info.init(num_levels, 0.5f, output->info()->tensor_shape(), arm_compute::Format::S16);
+
+    _tmp_pyr.init(pyramid_info);
+
+    // Allocate add and scale functions. Level 0 does not need to be scaled.
+    _addf   = arm_compute::cpp14::make_unique<NEArithmeticAddition[]>(num_levels);
+    _scalef = arm_compute::cpp14::make_unique<NEScale[]>(num_levels - 1);
+
+    const size_t last_level = num_levels - 1;
+
+    _addf[last_level].configure(input, pyramid->get_pyramid_level(last_level), _tmp_pyr.get_pyramid_level(last_level), ConvertPolicy::SATURATE);
+
+    // Scale levels n-1 to 1, and add levels n-2 to 0
+    for(size_t l = 0; l < last_level; ++l)
+    {
+        _scalef[l].configure(_tmp_pyr.get_pyramid_level(l + 1), _tmp_pyr.get_pyramid_level(l), arm_compute::InterpolationPolicy::NEAREST_NEIGHBOR, border_mode, constant_border_value);
+        _addf[l].configure(_tmp_pyr.get_pyramid_level(l), pyramid->get_pyramid_level(l), _tmp_pyr.get_pyramid_level(l), ConvertPolicy::SATURATE);
+    }
+
+    // Convert level 0 from S16 to U8
+    _depthf.configure(_tmp_pyr.get_pyramid_level(0), output, ConvertPolicy::SATURATE, 0);
+
+    _tmp_pyr.allocate();
+}
+
+void NELaplacianReconstruct::run()
+{
+    ARM_COMPUTE_ERROR_ON_MSG(_addf == nullptr, "Unconfigured function");
+
+    const size_t last_level = _tmp_pyr.info()->num_levels() - 1;
+
+    _addf[last_level].run();
+
+    // Run l = [last_level - 1, 0]
+    for(size_t l = last_level; l-- > 0;)
+    {
+        _scalef[l].run();
+        _addf[l].run();
+    }
+
+    _depthf.run();
+}