From 5b7d537d918becb894d94d91726ce79e63d72fc1 Mon Sep 17 00:00:00 2001
From: Manuel Bottini <manuel.bottini@arm.com>
Date: Fri, 17 May 2019 14:04:22 +0100
Subject: COMPMID-2237 Implement SPACE_TO_DEPTH for NEON

Change-Id: I9f427bceca6da52671e0096be08772612f4be152
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1227
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
---
 tests/datasets/SpaceToDepthDataset.h | 135 +++++++++++++++++++++++++++++++++++
 1 file changed, 135 insertions(+)
 create mode 100644 tests/datasets/SpaceToDepthDataset.h

(limited to 'tests/datasets')

diff --git a/tests/datasets/SpaceToDepthDataset.h b/tests/datasets/SpaceToDepthDataset.h
new file mode 100644
index 0000000000..563a475d79
--- /dev/null
+++ b/tests/datasets/SpaceToDepthDataset.h
@@ -0,0 +1,135 @@
+/*
+ * 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_SPACE_TO_DEPTH_LAYER_DATASET
+#define ARM_COMPUTE_TEST_SPACE_TO_DEPTH_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 SpaceToDepthLayerDataset
+{
+public:
+    using type = std::tuple<TensorShape, TensorShape, int32_t>;
+
+    struct iterator
+    {
+        iterator(std::vector<TensorShape>::const_iterator src_it,
+                 std::vector<TensorShape>::const_iterator dst_it,
+                 std::vector<int>::const_iterator         block_shape_it)
+            : _src_it{ std::move(src_it) },
+              _dst_it{ std::move(dst_it) },
+              _block_shape_it{ std::move(block_shape_it) }
+        {
+        }
+
+        std::string description() const
+        {
+            std::stringstream description;
+            description << "In=" << *_src_it << ":";
+            description << "Out=" << *_dst_it;
+            description << "BlockShape=" << *_block_shape_it << ":";
+            return description.str();
+        }
+
+        SpaceToDepthLayerDataset::type operator*() const
+        {
+            return std::make_tuple(*_src_it, *_dst_it, *_block_shape_it);
+        }
+
+        iterator &operator++()
+        {
+            ++_src_it;
+            ++_dst_it;
+            ++_block_shape_it;
+
+            return *this;
+        }
+
+    private:
+        std::vector<TensorShape>::const_iterator _src_it;
+        std::vector<TensorShape>::const_iterator _dst_it;
+        std::vector<int32_t>::const_iterator     _block_shape_it;
+    };
+
+    iterator begin() const
+    {
+        return iterator(_src_shapes.begin(), _dst_shapes.begin(), _block_shape.begin());
+    }
+
+    int size() const
+    {
+        return std::min(_src_shapes.size(), std::min(_dst_shapes.size(), _block_shape.size()));
+    }
+
+    void add_config(TensorShape src, TensorShape dst, int32_t block_shape)
+    {
+        _src_shapes.emplace_back(std::move(src));
+        _dst_shapes.emplace_back(std::move(dst));
+        _block_shape.emplace_back(std::move(block_shape));
+    }
+
+protected:
+    SpaceToDepthLayerDataset()                            = default;
+    SpaceToDepthLayerDataset(SpaceToDepthLayerDataset &&) = default;
+
+private:
+    std::vector<TensorShape> _src_shapes{};
+    std::vector<TensorShape> _dst_shapes{};
+    std::vector<int32_t>     _block_shape{};
+};
+
+class SmallSpaceToDepthLayerDataset final : public SpaceToDepthLayerDataset
+{
+public:
+    SmallSpaceToDepthLayerDataset()
+    {
+        add_config(TensorShape(2U, 2U, 1U, 1U), TensorShape(1U, 1U, 4U, 1U), 2);
+        add_config(TensorShape(6U, 2U, 1U, 1U), TensorShape(3U, 1U, 4U, 1U), 2);
+        add_config(TensorShape(2U, 4U, 2U, 1U), TensorShape(1U, 2U, 8U, 1U), 2);
+        add_config(TensorShape(2U, 6U, 1U, 2U), TensorShape(1U, 3U, 4U, 2U), 2);
+        add_config(TensorShape(6U, 8U, 1U, 1U), TensorShape(3U, 4U, 4U, 1U), 2);
+        add_config(TensorShape(6U, 8U, 15U, 5U), TensorShape(3U, 4U, 60U, 5U), 2);
+    }
+};
+class LargeSpaceToDepthLayerDataset final : public SpaceToDepthLayerDataset
+{
+public:
+    LargeSpaceToDepthLayerDataset()
+    {
+        add_config(TensorShape(128U, 64U, 2U, 1U), TensorShape(64U, 32U, 8U, 1U), 2);
+        add_config(TensorShape(512U, 64U, 2U, 1U), TensorShape(128U, 16U, 8U, 4U), 2);
+    }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_SPACE_TO_DEPTH_LAYER_DATASET */
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