APPBROWSER-341: Add ResizeNearest operator support

Change-Id: I1eefcb89b2185514f6eba8f3d0e7b126b20f7d8f
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/113856
Reviewed-by: Joel Liang <joel.liang@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>

1 files changed, 169 insertions, 0 deletions

diff --git a/tests/datasets/ScaleLayerDataset.h b/tests/datasets/ScaleLayerDataset.h
new file mode 100644
index 0000000000..8b5fbbe025
--- /dev/null
+++ b/tests/datasets/ScaleLayerDataset.h
@@ -0,0 +1,169 @@
+/*
+ * Copyright (c) 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.
+ */
+#ifndef ARM_COMPUTE_TEST_SCALE_LAYER_DATASET
+#define ARM_COMPUTE_TEST_SCALE_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 ScaleLayerDataset
+{
+public:
+    using type = std::tuple<TensorShape, InterpolationPolicy, BorderMode, SamplingPolicy, float, float>;
+
+    struct iterator
+    {
+        iterator(std::vector<TensorShape>::const_iterator         src_it,
+                 std::vector<InterpolationPolicy>::const_iterator policy_it,
+                 std::vector<BorderMode>::const_iterator          border_mode_it,
+                 std::vector<SamplingPolicy>::const_iterator      sampling_policy_it,
+                 std::vector<float>::const_iterator               scale_x_it,
+                 std::vector<float>::const_iterator               scale_y_it)
+            : _src_it{ std::move(src_it) },
+              _policy_it{ std::move(policy_it) },
+              _border_mode_it{ std::move(border_mode_it) },
+              _sampling_policy_it{ std::move(sampling_policy_it) },
+              _scale_x_it{ std::move(scale_x_it) },
+              _scale_y_it{ std::move(scale_y_it) }
+        {
+        }
+
+        std::string description() const
+        {
+            std::stringstream description;
+            description << "In=" << *_src_it << ":";
+            description << "InterpolationPolicy=" << *_policy_it << ":";
+            description << "BorderMode=" << *_border_mode_it << ":";
+            description << "SamplingPolicy=" << *_sampling_policy_it << ":";
+            description << "Scale_x=" << *_scale_x_it << ":";
+            description << "Scale_y=" << *_scale_y_it;
+            return description.str();
+        }
+
+        ScaleLayerDataset::type operator*() const
+        {
+            return std::make_tuple(*_src_it, *_policy_it, *_border_mode_it, *_sampling_policy_it, *_scale_x_it, *_scale_y_it);
+        }
+
+        iterator &operator++()
+        {
+            ++_src_it;
+            ++_policy_it;
+            ++_border_mode_it;
+            ++_sampling_policy_it;
+            ++_scale_x_it;
+            ++_scale_y_it;
+
+            return *this;
+        }
+
+    private:
+        std::vector<TensorShape>::const_iterator         _src_it;
+        std::vector<InterpolationPolicy>::const_iterator _policy_it;
+        std::vector<BorderMode>::const_iterator          _border_mode_it;
+        std::vector<SamplingPolicy>::const_iterator      _sampling_policy_it;
+        std::vector<float>::const_iterator               _scale_x_it;
+        std::vector<float>::const_iterator               _scale_y_it;
+    };
+
+    iterator begin() const
+    {
+        return iterator(_src_shapes.begin(), _policy.begin(), _border_mode.begin(), _sampling_policy.begin(), _scale_x.begin(), _scale_y.begin());
+    }
+
+    int size() const
+    {
+        return std::min(_src_shapes.size(), std::min(_policy.size(), std::min(_border_mode.size(), std::min(_sampling_policy.size(), std::min(_scale_x.size(), _scale_y.size())))));
+    }
+
+    void add_config(TensorShape src, InterpolationPolicy policy, BorderMode border_mode, SamplingPolicy sampling_policy, float scale_x, float scale_y)
+    {
+        _src_shapes.emplace_back(std::move(src));
+        _policy.emplace_back(std::move(policy));
+        _border_mode.emplace_back(std::move(border_mode));
+        _sampling_policy.emplace_back(std::move(sampling_policy));
+        _scale_x.emplace_back(std::move(scale_x));
+        _scale_y.emplace_back(std::move(scale_y));
+    }
+
+protected:
+    ScaleLayerDataset()                     = default;
+    ScaleLayerDataset(ScaleLayerDataset &&) = default;
+
+private:
+    std::vector<TensorShape>         _src_shapes{};
+    std::vector<InterpolationPolicy> _policy{};
+    std::vector<BorderMode>          _border_mode{};
+    std::vector<SamplingPolicy>      _sampling_policy{};
+    std::vector<float>               _scale_x{};
+    std::vector<float>               _scale_y{};
+};
+
+/** Data set containing small scale layer shapes. */
+class SmallScaleLayerShapes final : public ScaleLayerDataset
+{
+public:
+    SmallScaleLayerShapes()
+    {
+        add_config(TensorShape(128U, 64U, 1U, 3U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 5, 5);
+        add_config(TensorShape(9U, 9U, 3U, 4U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 7, 7);
+        add_config(TensorShape(27U, 13U, 2U, 4U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 9, 9);
+    }
+};
+
+/** Data set containing large scale layer shapes. */
+class LargeScaleLayerShapes final : public ScaleLayerDataset
+{
+public:
+    LargeScaleLayerShapes()
+    {
+        add_config(TensorShape(1920U, 1080U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 0.5, 0.5);
+        add_config(TensorShape(640U, 480U, 2U, 3U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 0.5, 0.5);
+        add_config(TensorShape(4160U, 3120U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 0.5, 0.5);
+        add_config(TensorShape(800U, 600U, 1U, 4U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 0.5, 0.5);
+
+        add_config(TensorShape(1920U, 1080U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 2, 2);
+        add_config(TensorShape(640U, 480U, 2U, 3U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 2, 2);
+        add_config(TensorShape(4160U, 3120U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 2, 2);
+        add_config(TensorShape(800U, 600U, 1U, 4U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 2, 2);
+
+        add_config(TensorShape(1920U, 1080U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 3, 3);
+        add_config(TensorShape(640U, 480U, 2U, 3U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 3, 3);
+        add_config(TensorShape(4160U, 3120U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 3, 3);
+        add_config(TensorShape(800U, 600U, 1U, 4U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 3, 3);
+    }
+};
+
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_SCALE_LAYER_DATASET */