COMPMID-582: Add validation to channel_extract kernels.

Change-Id: I5022d02f06f9d849dad76e3d9b8e48632c236429
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/121191
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
diff --git a/tests/validation/fixtures/ChannelExtractFixture.h b/tests/validation/fixtures/ChannelExtractFixture.h
new file mode 100644
index 0000000..c3c2e17
--- /dev/null
+++ b/tests/validation/fixtures/ChannelExtractFixture.h
@@ -0,0 +1,192 @@
+/*
+ * 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 */