arm_compute v17.03.1
diff --git a/src/runtime/Pyramid.cpp b/src/runtime/Pyramid.cpp
new file mode 100644
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+++ b/src/runtime/Pyramid.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/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);
+}