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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.
+ */
+#ifndef ARM_COMPUTE_TEST_CHANNEL_EXTRACT_FIXTURE
+#define ARM_COMPUTE_TEST_CHANNEL_EXTRACT_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/AssetsLibrary.h"
+#include "tests/Globals.h"
+#include "tests/IAccessor.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Fixture.h"
+#include "tests/validation/Helpers.h"
+#include "tests/validation/reference/ChannelExtract.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename MultiImageType, typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class ChannelExtractValidationFixture : public framework::Fixture
+{
+public:
+ template <typename...>
+ void setup(TensorShape shape, Format format, Channel channel)
+ {
+ shape = adjust_odd_shape(shape, format);
+
+ _target = compute_target(shape, format, channel);
+ _reference = compute_reference(shape, format, channel);
+ }
+
+protected:
+ template <typename U>
+ void fill(U &&tensor, int i)
+ {
+ library->fill_tensor_uniform(tensor, i);
+ }
+
+ std::vector<SimpleTensor<T>> create_tensor_planes_reference(const TensorShape &shape, Format format)
+ {
+ TensorShape input = adjust_odd_shape(shape, format);
+
+ std::vector<SimpleTensor<T>> tensor_planes;
+
+ switch(format)
+ {
+ case Format::RGB888:
+ case Format::RGBA8888:
+ case Format::YUYV422:
+ case Format::UYVY422:
+ {
+ tensor_planes.emplace_back(input, format);
+ break;
+ }
+ case Format::NV12:
+ case Format::NV21:
+ {
+ const TensorShape shape_uv88 = calculate_subsampled_shape(shape, Format::UV88);
+
+ tensor_planes.emplace_back(input, Format::U8);
+ tensor_planes.emplace_back(shape_uv88, Format::UV88);
+ break;
+ }
+ case Format::IYUV:
+ {
+ const TensorShape shape_sub2 = calculate_subsampled_shape(shape, Format::IYUV);
+
+ tensor_planes.emplace_back(input, Format::U8);
+ tensor_planes.emplace_back(shape_sub2, Format::U8);
+ tensor_planes.emplace_back(shape_sub2, Format::U8);
+ break;
+ }
+ case Format::YUV444:
+ tensor_planes.emplace_back(input, Format::U8);
+ tensor_planes.emplace_back(input, Format::U8);
+ tensor_planes.emplace_back(input, Format::U8);
+ break;
+ default:
+ ARM_COMPUTE_ERROR("Not supported");
+ break;
+ }
+
+ return tensor_planes;
+ }
+
+ TensorType compute_target(const TensorShape &shape, Format format, Channel channel)
+ {
+ const unsigned int num_planes = num_planes_from_format(format);
+
+ TensorShape dst_shape = calculate_subsampled_shape(shape, format, channel);
+
+ // Create tensors
+ MultiImageType ref_src = create_multi_image<MultiImageType>(shape, format);
+ TensorType dst = create_tensor<TensorType>(dst_shape, Format::U8);
+
+ // Create and configure function
+ FunctionType channel_extract;
+
+ if(1U == num_planes)
+ {
+ const TensorType *plane_src = static_cast<TensorType *>(ref_src.plane(0));
+
+ channel_extract.configure(plane_src, channel, &dst);
+ }
+ else
+ {
+ channel_extract.configure(&ref_src, channel, &dst);
+ }
+
+ for(unsigned int plane_idx = 0; plane_idx < num_planes; ++plane_idx)
+ {
+ const TensorType *src_plane = static_cast<const TensorType *>(ref_src.plane(plane_idx));
+
+ ARM_COMPUTE_EXPECT(src_plane->info()->is_resizable(), framework::LogLevel::ERRORS);
+ }
+
+ ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Allocate tensors
+ ref_src.allocate();
+ dst.allocator()->allocate();
+
+ for(unsigned int plane_idx = 0; plane_idx < num_planes; ++plane_idx)
+ {
+ const TensorType *src_plane = static_cast<const TensorType *>(ref_src.plane(plane_idx));
+
+ ARM_COMPUTE_EXPECT(!src_plane->info()->is_resizable(), framework::LogLevel::ERRORS);
+ }
+
+ ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Fill tensor planes
+ for(unsigned int plane_idx = 0; plane_idx < num_planes; ++plane_idx)
+ {
+ TensorType *src_plane = static_cast<TensorType *>(ref_src.plane(plane_idx));
+
+ fill(AccessorType(*src_plane), plane_idx);
+ }
+
+ // Compute function
+ channel_extract.run();
+
+ return dst;
+ }
+
+ SimpleTensor<T> compute_reference(const TensorShape &shape, Format format, Channel channel)
+ {
+ const unsigned int num_planes = num_planes_from_format(format);
+
+ // Create reference
+ std::vector<SimpleTensor<T>> ref_src = create_tensor_planes_reference(shape, format);
+
+ // Fill references
+ for(unsigned int plane_idx = 0; plane_idx < num_planes; ++plane_idx)
+ {
+ fill(ref_src[plane_idx], plane_idx);
+ }
+
+ return reference::channel_extract<T>(shape, ref_src, format, channel);
+ }
+
+ TensorType _target{};
+ SimpleTensor<T> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_CHANNEL_EXTRACT_FIXTURE */