COMPMID-1528: Add ReorgLayer on NEON

Change-Id: I44369b4a716767163e2233b7d87bff300c523383
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/146314
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>

1 files changed, 97 insertions, 0 deletions

diff --git a/tests/validation/reference/ReorgLayer.cpp b/tests/validation/reference/ReorgLayer.cpp
new file mode 100644
index 0000000000..cb13a737e0
--- /dev/null
+++ b/tests/validation/reference/ReorgLayer.cpp
@@ -0,0 +1,97 @@
+/*
+ * 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.
+ */
+#include "ReorgLayer.h"
+
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+namespace
+{
+TensorShape compute_reorg_shape(const TensorShape &src_shape, int32_t stride)
+{
+    ARM_COMPUTE_ERROR_ON(stride <= 0);
+
+    TensorShape dst_shape = src_shape;
+    dst_shape.set(0, src_shape.x() / stride);
+    dst_shape.set(1, src_shape.y() / stride);
+    dst_shape.set(2, src_shape.z() * stride * stride);
+
+    return dst_shape;
+}
+} // namespace
+
+template <typename T>
+SimpleTensor<T> reorg_layer(const SimpleTensor<T> &src, int32_t stride)
+{
+    // Calculate output shape
+    const TensorShape dst_shape = compute_reorg_shape(src.shape(), stride);
+
+    // Create destination tensor
+    SimpleTensor<T> dst{ dst_shape, src.data_type() };
+
+    const unsigned int W          = dst.shape().x();
+    const unsigned int H          = dst.shape().y();
+    const unsigned int C          = dst.shape().z();
+    const unsigned int out_c      = C / (stride * stride);
+    const unsigned int outer_dims = dst.shape().total_size() / (W * H * C);
+
+    // Calculate layer reorg in NCHW
+    Coordinates map_coords;
+    for(unsigned int b = 0; b < outer_dims; ++b)
+    {
+        map_coords.set(3, b);
+        for(unsigned int c = 0; c < C; ++c)
+        {
+            map_coords.set(2, c % out_c);
+            const unsigned int offset = c / out_c;
+            for(unsigned int h = 0; h < H; ++h)
+            {
+                map_coords.set(1, h * stride + offset / stride);
+                for(unsigned int w = 0; w < W; ++w)
+                {
+                    const unsigned int dst_idx = w + W * (h + H * (c + C * b));
+                    map_coords.set(0, w * stride + offset % stride);
+                    dst[dst_idx] = *reinterpret_cast<const T *>(src(map_coords));
+                }
+            }
+        }
+    }
+
+    return dst;
+}
+
+template SimpleTensor<uint8_t> reorg_layer(const SimpleTensor<uint8_t> &src, int32_t stride);
+template SimpleTensor<uint16_t> reorg_layer(const SimpleTensor<uint16_t> &src, int32_t stride);
+template SimpleTensor<uint32_t> reorg_layer(const SimpleTensor<uint32_t> &src, int32_t stride);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute