arm_compute v18.05
diff --git a/tests/validation/reference/ChannelCombine.cpp b/tests/validation/reference/ChannelCombine.cpp
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+/*
+ * Copyright (c) 2017-2018 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 "ChannelCombine.h"
+
+#include "arm_compute/core/Types.h"
+#include "tests/validation/FixedPoint.h"
+#include "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+namespace
+{
+template <typename T>
+inline std::vector<SimpleTensor<T>> create_image_planes(const TensorShape &shape, Format format)
+{
+ TensorShape image_shape = adjust_odd_shape(shape, format);
+
+ std::vector<SimpleTensor<T>> image_planes;
+
+ switch(format)
+ {
+ case Format::RGB888:
+ case Format::RGBA8888:
+ case Format::YUYV422:
+ case Format::UYVY422:
+ {
+ image_planes.emplace_back(image_shape, format);
+ break;
+ }
+ case Format::NV12:
+ case Format::NV21:
+ {
+ TensorShape shape_uv88 = calculate_subsampled_shape(image_shape, Format::UV88);
+
+ image_planes.emplace_back(image_shape, Format::U8);
+ image_planes.emplace_back(shape_uv88, Format::UV88);
+ break;
+ }
+ case Format::IYUV:
+ {
+ TensorShape shape_sub2 = calculate_subsampled_shape(image_shape, Format::IYUV);
+
+ image_planes.emplace_back(image_shape, Format::U8);
+ image_planes.emplace_back(shape_sub2, Format::U8);
+ image_planes.emplace_back(shape_sub2, Format::U8);
+ break;
+ }
+ case Format::YUV444:
+ {
+ image_planes.emplace_back(image_shape, Format::U8);
+ image_planes.emplace_back(image_shape, Format::U8);
+ image_planes.emplace_back(image_shape, Format::U8);
+ break;
+ }
+ default:
+ ARM_COMPUTE_ERROR("Not supported");
+ break;
+ }
+
+ return image_planes;
+}
+} // namespace
+
+template <typename T>
+std::vector<SimpleTensor<T>> channel_combine(const TensorShape &shape, const std::vector<SimpleTensor<T>> &image_planes, Format format)
+{
+ std::vector<SimpleTensor<T>> dst = create_image_planes<T>(shape, format);
+
+ for(unsigned int plane_idx = 0; plane_idx < dst.size(); ++plane_idx)
+ {
+ SimpleTensor<T> &dst_tensor = dst[plane_idx];
+
+ for(int element_idx = 0; element_idx < dst_tensor.num_elements(); ++element_idx)
+ {
+ Coordinates coord = index2coord(dst_tensor.shape(), element_idx);
+
+ switch(format)
+ {
+ case Format::RGB888:
+ case Format::RGBA8888:
+ {
+ // Copy R/G/B or A channel
+ for(int channel_idx = 0; channel_idx < dst_tensor.num_channels(); ++channel_idx)
+ {
+ const T &src_value = reinterpret_cast<const T *>(image_planes[channel_idx](coord))[0];
+ T &dst_value = reinterpret_cast<T *>(dst_tensor(coord))[channel_idx];
+
+ dst_value = src_value;
+ }
+ break;
+ }
+ case Format::YUYV422:
+ case Format::UYVY422:
+ {
+ // Find coordinates of the sub-sampled pixel
+ const Coordinates coord_hori(coord.x() / 2, coord.y());
+
+ const T &src0 = reinterpret_cast<const T *>(image_planes[0](coord))[0];
+ const T &src1 = reinterpret_cast<const T *>(image_planes[1](coord_hori))[0];
+
+ const int shift = (Format::YUYV422 == format) ? 1 : 0;
+ T &dst0 = reinterpret_cast<T *>(dst_tensor(coord))[1 - shift];
+ T &dst1 = reinterpret_cast<T *>(dst_tensor(coord))[0 + shift];
+
+ dst0 = src0;
+ dst1 = src1;
+
+ Coordinates coord2 = index2coord(dst_tensor.shape(), ++element_idx);
+
+ const T &src2 = reinterpret_cast<const T *>(image_planes[0](coord2))[0];
+ const T &src3 = reinterpret_cast<const T *>(image_planes[2](coord_hori))[0];
+
+ T &dst2 = reinterpret_cast<T *>(dst_tensor(coord2))[1 - shift];
+ T &dst3 = reinterpret_cast<T *>(dst_tensor(coord2))[0 + shift];
+
+ dst2 = src2;
+ dst3 = src3;
+
+ break;
+ }
+ case Format::NV12:
+ case Format::NV21:
+ {
+ if(0U == plane_idx)
+ {
+ // Get and combine Y channel from plane0 of destination multi-image
+ dst_tensor[element_idx] = image_planes[0][element_idx];
+ }
+ else
+ {
+ const int shift = (Format::NV12 == format) ? 0 : 1;
+
+ // Get U channel from plane1 and V channel from plane2 of the source
+ const T &src_u0 = reinterpret_cast<const T *>(image_planes[1](coord))[0];
+ const T &src_v0 = reinterpret_cast<const T *>(image_planes[2](coord))[0];
+
+ // Get U and V channel from plane1 of destination multi-image
+ T &dst_u0 = reinterpret_cast<T *>(dst_tensor(coord))[0 + shift];
+ T &dst_v0 = reinterpret_cast<T *>(dst_tensor(coord))[1 - shift];
+
+ // Combine channel U and V
+ dst_u0 = src_u0;
+ dst_v0 = src_v0;
+ }
+
+ break;
+ }
+ case Format::IYUV:
+ case Format::YUV444:
+ {
+ // Get Y/U/V element
+ const T &src = reinterpret_cast<const T *>(image_planes[plane_idx](coord))[0];
+ T &dst = reinterpret_cast<T *>(dst_tensor(coord))[0];
+
+ // Copy Y/U/V plane
+ dst = src;
+
+ break;
+ }
+ default:
+ ARM_COMPUTE_ERROR("Not supported");
+ break;
+ }
+ }
+ }
+
+ return dst;
+}
+
+template std::vector<SimpleTensor<uint8_t>> channel_combine(const TensorShape &shape, const std::vector<SimpleTensor<uint8_t>> &image_planes, Format format);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute