From 6ff3b19ee6120edf015fad8caab2991faa3070af Mon Sep 17 00:00:00 2001
From: Anthony Barbier <anthony.barbier@arm.com>
Date: Mon, 4 Sep 2017 18:44:23 +0100
Subject: COMPMID-344 Updated doxygen

Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae
---
 src/runtime/Pyramid.cpp | 120 ++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 120 insertions(+)
 create mode 100644 src/runtime/Pyramid.cpp

(limited to 'src/runtime/Pyramid.cpp')

diff --git a/src/runtime/Pyramid.cpp b/src/runtime/Pyramid.cpp
new file mode 100644
index 0000000000..f1b6c93b50
--- /dev/null
+++ b/src/runtime/Pyramid.cpp
@@ -0,0 +1,120 @@
+/*
+ * 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/Pyramid.h"
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/PyramidInfo.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/TensorShape.h"
+
+#include <cmath>
+
+using namespace arm_compute;
+
+void Pyramid::init(const PyramidInfo &info)
+{
+    internal_init(info, false);
+}
+
+void Pyramid::init_auto_padding(const PyramidInfo &info)
+{
+    internal_init(info, true);
+}
+
+void Pyramid::internal_init(const PyramidInfo &info, bool auto_padding)
+{
+    _info    = info;
+    _pyramid = arm_compute::cpp14::make_unique<Tensor[]>(_info.num_levels());
+
+    size_t      w            = _info.width();
+    size_t      h            = _info.height();
+    size_t      ref_w        = w;
+    size_t      ref_h        = h;
+    bool        is_orb_scale = (SCALE_PYRAMID_ORB == _info.scale());
+    TensorShape tensor_shape = _info.tensor_shape();
+
+    // Note: Look-up table used by the OpenVX sample implementation
+    const float c_orbscale[4] = { 0.5f,
+                                  SCALE_PYRAMID_ORB,
+                                  SCALE_PYRAMID_ORB * SCALE_PYRAMID_ORB,
+                                  SCALE_PYRAMID_ORB *SCALE_PYRAMID_ORB * SCALE_PYRAMID_ORB
+                                };
+
+    for(size_t i = 0; i < _info.num_levels(); ++i)
+    {
+        TensorInfo tensor_info(tensor_shape, _info.format());
+
+        if(auto_padding)
+        {
+            tensor_info.auto_padding();
+        }
+
+        (_pyramid.get() + i)->allocator()->init(tensor_info);
+
+        if(is_orb_scale)
+        {
+            float orb_scale = c_orbscale[(i + 1) % 4];
+            w               = static_cast<int>(std::ceil(static_cast<float>(ref_w) * orb_scale));
+            h               = static_cast<int>(std::ceil(static_cast<float>(ref_h) * orb_scale));
+
+            if(0 == ((i + 1) % 4))
+            {
+                ref_w = w;
+                ref_h = h;
+            }
+        }
+        else
+        {
+            w = (w + 1) * _info.scale();
+            h = (h + 1) * _info.scale();
+        }
+
+        // Update tensor_shape
+        tensor_shape.set(0, w);
+        tensor_shape.set(1, h);
+    }
+}
+
+void Pyramid::allocate()
+{
+    ARM_COMPUTE_ERROR_ON(_pyramid == nullptr);
+
+    for(size_t i = 0; i < _info.num_levels(); ++i)
+    {
+        (_pyramid.get() + i)->allocator()->allocate();
+    }
+}
+
+const PyramidInfo *Pyramid::info() const
+{
+    return &_info;
+}
+
+Tensor *Pyramid::get_pyramid_level(size_t index) const
+{
+    ARM_COMPUTE_ERROR_ON(index >= _info.num_levels());
+
+    return (_pyramid.get() + index);
+}
-- 
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