COMPMID-358 Implement OpenCL ROI Pooling
* Implement OpenCL ROI Pooling
* Add CLROIPoolingLayer benchmarks
Change-Id: I8786d01d551850a1b4d599a48fabe3925e0a27d0
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/79833
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
diff --git a/tests/datasets_new/ROIPoolingLayerDataset.h b/tests/datasets_new/ROIPoolingLayerDataset.h
new file mode 100644
index 0000000..c68a33f
--- /dev/null
+++ b/tests/datasets_new/ROIPoolingLayerDataset.h
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+/*
+ * 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_ROI_POOLING_LAYER_DATASET
+#define ARM_COMPUTE_TEST_ROI_POOLING_LAYER_DATASET
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class ROIPoolingLayerDataset
+{
+public:
+ using type = std::tuple<TensorShape, ROIPoolingLayerInfo, int>;
+
+ struct iterator
+ {
+ iterator(std::vector<TensorShape>::const_iterator tensor_shape_it,
+ std::vector<ROIPoolingLayerInfo>::const_iterator infos_it,
+ std::vector<unsigned int>::const_iterator num_rois_it)
+ : _tensor_shape_it{ std::move(tensor_shape_it) },
+ _infos_it{ std::move(infos_it) },
+ _num_rois_it{ std::move(num_rois_it) }
+ {
+ }
+
+ std::string description() const
+ {
+ std::stringstream description;
+ description << "In=" << *_tensor_shape_it << ":";
+ description << "Info=" << *_infos_it;
+ description << "NumROIS=" << *_num_rois_it;
+ return description.str();
+ }
+
+ ROIPoolingLayerDataset::type operator*() const
+ {
+ return std::make_tuple(*_tensor_shape_it, *_infos_it, *_num_rois_it);
+ }
+
+ iterator &operator++()
+ {
+ ++_tensor_shape_it;
+ ++_infos_it;
+ ++_num_rois_it;
+
+ return *this;
+ }
+
+ private:
+ std::vector<TensorShape>::const_iterator _tensor_shape_it;
+ std::vector<ROIPoolingLayerInfo>::const_iterator _infos_it;
+ std::vector<unsigned int>::const_iterator _num_rois_it;
+ };
+
+ iterator begin() const
+ {
+ return iterator(_tensor_shapes.begin(), _infos.begin(), _num_rois.begin());
+ }
+
+ int size() const
+ {
+ return std::min(std::min(_tensor_shapes.size(), _infos.size()), _num_rois.size());
+ }
+
+ void add_config(TensorShape tensor_shape, ROIPoolingLayerInfo info, unsigned int num_rois)
+ {
+ _tensor_shapes.emplace_back(std::move(tensor_shape));
+ _infos.emplace_back(std::move(info));
+ _num_rois.emplace_back(std::move(num_rois));
+ }
+
+protected:
+ ROIPoolingLayerDataset() = default;
+ ROIPoolingLayerDataset(ROIPoolingLayerDataset &&) = default;
+
+private:
+ std::vector<TensorShape> _tensor_shapes{};
+ std::vector<ROIPoolingLayerInfo> _infos{};
+ std::vector<unsigned int> _num_rois{};
+};
+
+class SmallROIPoolingLayerDataset final : public ROIPoolingLayerDataset
+{
+public:
+ SmallROIPoolingLayerDataset()
+ {
+ add_config(TensorShape(50U, 47U, 3U), ROIPoolingLayerInfo(7U, 7U, 1.f / 8.f), 40U);
+ add_config(TensorShape(50U, 47U, 10U), ROIPoolingLayerInfo(7U, 7U, 1.f / 8.f), 80U);
+ add_config(TensorShape(50U, 47U, 80U), ROIPoolingLayerInfo(7U, 7U, 1.f / 8.f), 80U);
+ add_config(TensorShape(50U, 47U, 3U), ROIPoolingLayerInfo(9U, 9U, 1.f / 8.f), 40U);
+ add_config(TensorShape(50U, 47U, 10U), ROIPoolingLayerInfo(9U, 9U, 1.f / 8.f), 80U);
+ add_config(TensorShape(50U, 47U, 80U), ROIPoolingLayerInfo(9U, 9U, 1.f / 8.f), 80U);
+ }
+};
+
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ROI_POOLING_LAYER_DATASET */