COMPMID-2240 Implement DEPTH_TO_SPACE for NEON

Change-Id: I705aa0f804093c3628c691e46cca475f2819dc65
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1198
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 139 insertions, 0 deletions

diff --git a/tests/datasets/DepthToSpaceDataset.h b/tests/datasets/DepthToSpaceDataset.h
new file mode 100644
index 0000000000..06ee5ba432
--- /dev/null
+++ b/tests/datasets/DepthToSpaceDataset.h
@@ -0,0 +1,139 @@
+/*
+ * Copyright (c) 2019 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_DEPTH_TO_SPACE_LAYER_DATASET
+#define ARM_COMPUTE_TEST_DEPTH_TO_SPACE_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 DepthToSpaceLayerDataset
+{
+public:
+    using type = std::tuple<TensorShape, int32_t, TensorShape>;
+
+    struct iterator
+    {
+        iterator(std::vector<TensorShape>::const_iterator src_it,
+                 std::vector<int32_t>::const_iterator     block_shape_it,
+                 std::vector<TensorShape>::const_iterator dst_it)
+            : _src_it{ std::move(src_it) },
+              _block_shape_it{ std::move(block_shape_it) },
+              _dst_it{ std::move(dst_it) }
+        {
+        }
+
+        std::string description() const
+        {
+            std::stringstream description;
+            description << "In=" << *_src_it << ":";
+            description << "BlockShape=" << *_block_shape_it << ":";
+            description << "Out=" << *_dst_it;
+            return description.str();
+        }
+
+        DepthToSpaceLayerDataset::type operator*() const
+        {
+            return std::make_tuple(*_src_it, *_block_shape_it, *_dst_it);
+        }
+
+        iterator &operator++()
+        {
+            ++_src_it;
+            ++_block_shape_it;
+            ++_dst_it;
+
+            return *this;
+        }
+
+    private:
+        std::vector<TensorShape>::const_iterator _src_it;
+        std::vector<int32_t>::const_iterator     _block_shape_it;
+        std::vector<TensorShape>::const_iterator _dst_it;
+    };
+
+    iterator begin() const
+    {
+        return iterator(_src_shapes.begin(), _block_shape.begin(), _dst_shapes.begin());
+    }
+
+    int size() const
+    {
+        return std::min(_src_shapes.size(), std::min(_block_shape.size(), _dst_shapes.size()));
+    }
+
+    void add_config(TensorShape src, int32_t block_shape, TensorShape dst)
+    {
+        _src_shapes.emplace_back(std::move(src));
+        _block_shape.emplace_back(std::move(block_shape));
+        _dst_shapes.emplace_back(std::move(dst));
+    }
+
+protected:
+    DepthToSpaceLayerDataset()                            = default;
+    DepthToSpaceLayerDataset(DepthToSpaceLayerDataset &&) = default;
+
+private:
+    std::vector<TensorShape> _src_shapes{};
+    std::vector<int32_t>     _block_shape{};
+    std::vector<TensorShape> _dst_shapes{};
+};
+
+class SmallDepthToSpaceLayerDataset final : public DepthToSpaceLayerDataset
+{
+public:
+    SmallDepthToSpaceLayerDataset()
+    {
+        add_config(TensorShape(1U, 1U, 4U, 4U), 2U, TensorShape(2U, 2U, 1U, 4U));
+        add_config(TensorShape(3U, 1U, 4U, 4U), 2U, TensorShape(6U, 2U, 1U, 4U));
+        add_config(TensorShape(1U, 2U, 4U, 4U), 2U, TensorShape(2U, 4U, 1U, 4U));
+        add_config(TensorShape(1U, 3U, 4U, 8U), 2U, TensorShape(2U, 6U, 1U, 8U));
+        add_config(TensorShape(3U, 4U, 4U, 4U), 2U, TensorShape(6U, 8U, 1U, 4U));
+        add_config(TensorShape(1U, 1U, 16U, 8U), 4U, TensorShape(4U, 4U, 1U, 8U));
+        add_config(TensorShape(1U, 1U, 8U), 2U, TensorShape(2U, 2U, 2U));
+    }
+};
+
+class LargeDepthToSpaceLayerDataset final : public DepthToSpaceLayerDataset
+{
+public:
+    LargeDepthToSpaceLayerDataset()
+    {
+        add_config(TensorShape(64U, 32U, 4U), 2U, TensorShape(128U, 64U, 1U));
+        add_config(TensorShape(128U, 16U, 16U), 4U, TensorShape(512U, 64U, 1U));
+        add_config(TensorShape(16U, 8U, 8U), 2U, TensorShape(32U, 16U, 2U));
+        add_config(TensorShape(8U, 16U, 16U), 2U, TensorShape(16U, 32U, 4U));
+    }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_DEPTH_TO_SPACE_LAYER_DATASET */