From 6c7c38e70c795077ba727aadeefc670888bec089 Mon Sep 17 00:00:00 2001
From: Michalis Spyrou <michalis.spyrou@arm.com>
Date: Wed, 29 Aug 2018 16:28:11 +0100
Subject: COMPMID-1462 SSD support: Create CL PriorBox

Change-Id: I5bf5d751ec7c02d96c26a769f49d03ea23a248b7
---
 tests/datasets/PriorBoxLayerDataset.h | 134 ++++++++++++++++++++++++++++++++++
 1 file changed, 134 insertions(+)
 create mode 100644 tests/datasets/PriorBoxLayerDataset.h

(limited to 'tests/datasets')

diff --git a/tests/datasets/PriorBoxLayerDataset.h b/tests/datasets/PriorBoxLayerDataset.h
new file mode 100644
index 0000000000..22a0d97057
--- /dev/null
+++ b/tests/datasets/PriorBoxLayerDataset.h
@@ -0,0 +1,134 @@
+/*
+ * Copyright (c) 2018 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.
+ */
+#ifndef ARM_COMPUTE_TEST_PRIORBOX_LAYER_DATASET
+#define ARM_COMPUTE_TEST_PRIORBOX_LAYER_DATASET
+
+#include "utils/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class PriorBoxLayerDataset
+{
+public:
+    using type = std::tuple<TensorShape, PriorBoxLayerInfo>;
+
+    struct iterator
+    {
+        iterator(std::vector<TensorShape>::const_iterator       src_it,
+                 std::vector<PriorBoxLayerInfo>::const_iterator infos_it)
+            : _src_it{ std::move(src_it) },
+              _infos_it{ std::move(infos_it) }
+        {
+        }
+
+        std::string description() const
+        {
+            std::stringstream description;
+            description << "In=" << *_src_it << ":";
+            description << "Info=" << *_infos_it << ":";
+            return description.str();
+        }
+
+        PriorBoxLayerDataset::type operator*() const
+        {
+            return std::make_tuple(*_src_it, *_infos_it);
+        }
+
+        iterator &operator++()
+        {
+            ++_src_it;
+            ++_infos_it;
+
+            return *this;
+        }
+
+    private:
+        std::vector<TensorShape>::const_iterator       _src_it;
+        std::vector<PriorBoxLayerInfo>::const_iterator _infos_it;
+    };
+
+    iterator begin() const
+    {
+        return iterator(_src_shapes.begin(), _infos.begin());
+    }
+
+    int size() const
+    {
+        return std::min(_src_shapes.size(), _infos.size());
+    }
+
+    void add_config(TensorShape src, PriorBoxLayerInfo info)
+    {
+        _src_shapes.emplace_back(std::move(src));
+        _infos.emplace_back(std::move(info));
+    }
+
+protected:
+    PriorBoxLayerDataset()                        = default;
+    PriorBoxLayerDataset(PriorBoxLayerDataset &&) = default;
+
+private:
+    std::vector<TensorShape>       _src_shapes{};
+    std::vector<PriorBoxLayerInfo> _infos{};
+};
+
+class SmallPriorBoxLayerDataset final : public PriorBoxLayerDataset
+{
+public:
+    SmallPriorBoxLayerDataset()
+    {
+        std::vector<float> min_val      = { 30.f };
+        std::vector<float> var          = { 0.1, 0.1, 0.2, 0.2 };
+        std::vector<float> max_val      = { 60.f };
+        std::vector<float> aspect_ratio = { 2.f };
+        std::array<float, 2> steps = { 8.f, 8.f };
+
+        add_config(TensorShape(4U, 4U), PriorBoxLayerInfo(min_val, var, 0.5f, true, false, max_val, aspect_ratio, Coordinates2D{ 8, 8 }, steps));
+    }
+};
+
+class LargePriorBoxLayerDataset final : public PriorBoxLayerDataset
+{
+public:
+    LargePriorBoxLayerDataset()
+    {
+        std::vector<float> min_val      = { 30.f };
+        std::vector<float> var          = { 0.1, 0.1, 0.2, 0.2 };
+        std::vector<float> max_val      = { 60.f };
+        std::vector<float> aspect_ratio = { 2.f };
+        std::array<float, 2> steps = { 8.f, 8.f };
+        add_config(TensorShape(150U, 245U, 4U, 12U), PriorBoxLayerInfo(min_val, var, 0.5f, true, false, max_val, aspect_ratio, Coordinates2D{ 8, 8 }, steps));
+    }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_PRIORBOX_LAYER_DATASET */
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