COMPMID-584: Add validation to channel_combine kernels

Change-Id: I67fe3fcea08704d9f4b04d22fe34db83b2697b87
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110562
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>

5 files changed, 829 insertions, 0 deletions

diff --git a/tests/validation/CL/ChannelCombine.cpp b/tests/validation/CL/ChannelCombine.cpp
new file mode 100644
index 0000000000..fd9049a46a
--- /dev/null
+++ b/tests/validation/CL/ChannelCombine.cpp
@@ -0,0 +1,160 @@
+/*
+ * 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 "arm_compute/core/Types.h"
+#include "arm_compute/runtime/CL/CLMultiImage.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/CLTensorAllocator.h"
+#include "arm_compute/runtime/CL/functions/CLChannelCombine.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/ConvertPolicyDataset.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/ChannelCombineFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+inline void validate_configuration(const TensorShape &shape, Format format)
+{
+    const int num_planes = num_planes_from_format(format);
+
+    // Create tensors
+    CLMultiImage          dst     = create_multi_image<CLMultiImage>(shape, format);
+    std::vector<CLTensor> ref_src = create_tensor_planes<CLTensor>(shape, format);
+
+    // Create and configure function
+    CLChannelCombine channel_combine;
+
+    if(num_planes == 1)
+    {
+        const CLTensor *tensor_extra = ((Format::RGBA8888 == format) ? &ref_src[3] : nullptr);
+
+        channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], tensor_extra, dst.cl_plane(0));
+    }
+    else
+    {
+        channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], &dst);
+    }
+
+    // TODO(bsgcomp): Add validation for padding and shape (COMPMID-659)
+}
+} // namespace
+
+TEST_SUITE(CL)
+TEST_SUITE(ChannelCombine)
+
+template <typename T>
+using CLChannelCombineFixture = ChannelCombineValidationFixture<CLMultiImage, CLTensor, CLAccessor, CLChannelCombine, T>;
+
+TEST_SUITE(Configuration)
+DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("FormatType", { Format::RGB888, Format::RGBA8888 })),
+               shape, format)
+{
+    validate_configuration(shape, format);
+}
+DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("FormatType", { Format::YUYV422, Format::UYVY422 })),
+               shape, format)
+{
+    validate_configuration(shape, format);
+}
+
+DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("FormatType", { Format::IYUV, Format::YUV444, Format::NV12, Format::NV21 })),
+               shape, format)
+{
+    validate_configuration(shape, format);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(RGBA)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelCombineFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("FormatType", { Format::RGB888, Format::RGBA8888 })))
+{
+    // Validate output
+    for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx)
+    {
+        validate(CLAccessor(*_target.cl_plane(plane_idx)), _reference[plane_idx]);
+    }
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("FormatType", { Format::RGB888, Format::RGBA8888 })))
+{
+    // Validate output
+    for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx)
+    {
+        validate(CLAccessor(*_target.cl_plane(plane_idx)), _reference[plane_idx]);
+    }
+}
+TEST_SUITE_END()
+
+TEST_SUITE(YUV)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelCombineFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("FormatType", { Format::YUYV422, Format::UYVY422 })))
+{
+    // Validate output
+    for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx)
+    {
+        validate(CLAccessor(*_target.cl_plane(plane_idx)), _reference[plane_idx]);
+    }
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("FormatType", { Format::YUYV422, Format::UYVY422 })))
+{
+    // Validate output
+    for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx)
+    {
+        validate(CLAccessor(*_target.cl_plane(plane_idx)), _reference[plane_idx]);
+    }
+}
+TEST_SUITE_END()
+
+TEST_SUITE(YUVPlanar)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelCombineFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("FormatType", { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))
+{
+    // Validate output
+    for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx)
+    {
+        validate(CLAccessor(*_target.cl_plane(plane_idx)), _reference[plane_idx]);
+    }
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("FormatType", { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))
+{
+    // Validate output
+    for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx)
+    {
+        validate(CLAccessor(*_target.cl_plane(plane_idx)), _reference[plane_idx]);
+    }
+}
+TEST_SUITE_END()
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/NEON/ChannelCombine.cpp b/tests/validation/NEON/ChannelCombine.cpp
new file mode 100644
index 0000000000..3dbc64dbd2
--- /dev/null
+++ b/tests/validation/NEON/ChannelCombine.cpp
@@ -0,0 +1,159 @@
+/*
+ * 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 CONCLCTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/MultiImage.h"
+#include "arm_compute/runtime/NEON/functions/NEChannelCombine.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/ConvertPolicyDataset.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/ChannelCombineFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+inline void validate_configuration(const TensorShape &shape, Format format)
+{
+    const int num_planes = num_planes_from_format(format);
+
+    // Create tensors
+    MultiImage          dst     = create_multi_image<MultiImage>(shape, format);
+    std::vector<Tensor> ref_src = create_tensor_planes<Tensor>(shape, format);
+
+    // Create and configure function
+    NEChannelCombine channel_combine;
+
+    if(num_planes == 1)
+    {
+        const Tensor *tensor_extra = Format::RGBA8888 == format ? &ref_src[3] : nullptr;
+
+        channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], tensor_extra, dst.plane(0));
+    }
+    else
+    {
+        channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], &dst);
+    }
+
+    // TODO(bsgcomp): Add validation for padding and shape (COMPMID-659)
+}
+} // namespace
+
+TEST_SUITE(NEON)
+TEST_SUITE(ChannelCombine)
+
+TEST_SUITE(Configuration)
+DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("FormatType", { Format::RGB888, Format::RGBA8888 })),
+               shape, format)
+{
+    validate_configuration(shape, format);
+}
+DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("FormatType", { Format::YUYV422, Format::UYVY422 })),
+               shape, format)
+{
+    validate_configuration(shape, format);
+}
+
+DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("FormatType", { Format::IYUV, Format::YUV444, Format::NV12, Format::NV21 })),
+               shape, format)
+{
+    validate_configuration(shape, format);
+}
+TEST_SUITE_END()
+
+template <typename T>
+using NEChannelCombineFixture = ChannelCombineValidationFixture<MultiImage, Tensor, Accessor, NEChannelCombine, T>;
+
+TEST_SUITE(RGBA)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelCombineFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("FormatType", { Format::RGB888, Format::RGBA8888 })))
+{
+    // Validate output
+    for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx)
+    {
+        validate(Accessor(*_target.plane(plane_idx)), _reference[plane_idx]);
+    }
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("FormatType", { Format::RGB888, Format::RGBA8888 })))
+{
+    // Validate output
+    for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx)
+    {
+        validate(Accessor(*_target.plane(plane_idx)), _reference[plane_idx]);
+    }
+}
+TEST_SUITE_END()
+
+TEST_SUITE(YUV)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelCombineFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("FormatType", { Format::YUYV422, Format::UYVY422 })))
+{
+    // Validate output
+    for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx)
+    {
+        validate(Accessor(*_target.plane(plane_idx)), _reference[plane_idx]);
+    }
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("FormatType", { Format::YUYV422, Format::UYVY422 })))
+{
+    // Validate output
+    for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx)
+    {
+        validate(Accessor(*_target.plane(plane_idx)), _reference[plane_idx]);
+    }
+}
+TEST_SUITE_END()
+
+TEST_SUITE(YUVPlanar)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelCombineFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("FormatType", { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))
+{
+    // Validate output
+    for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx)
+    {
+        validate(Accessor(*_target.plane(plane_idx)), _reference[plane_idx]);
+    }
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("FormatType", { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))
+{
+    // Validate output
+    for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx)
+    {
+        validate(Accessor(*_target.plane(plane_idx)), _reference[plane_idx]);
+    }
+}
+TEST_SUITE_END()
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/fixtures/ChannelCombineFixture.h b/tests/validation/fixtures/ChannelCombineFixture.h
new file mode 100644
index 0000000000..68d023715c
--- /dev/null
+++ b/tests/validation/fixtures/ChannelCombineFixture.h
@@ -0,0 +1,266 @@
+/*
+ * 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_COMBINE_FIXTURE
+#define ARM_COMPUTE_TEST_CHANNEL_COMBINE_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/ChannelCombine.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+template <typename TensorType>
+inline std::vector<TensorType> create_tensor_planes(const TensorShape &shape, Format format)
+{
+    TensorShape image_shape = adjust_odd_shape(shape, format);
+    TensorInfo  info(image_shape, Format::U8);
+
+    std::vector<TensorType> tensor_planes;
+
+    switch(format)
+    {
+        case Format::RGB888:
+        case Format::RGBA8888:
+        case Format::YUV444:
+        {
+            tensor_planes.resize(3);
+
+            if(format == Format::RGBA8888)
+            {
+                tensor_planes.resize(4);
+            }
+
+            for(unsigned int plane_idx = 0; plane_idx < tensor_planes.size(); ++plane_idx)
+            {
+                tensor_planes[plane_idx].allocator()->init(info);
+            }
+
+            break;
+        }
+        case Format::YUYV422:
+        case Format::UYVY422:
+        {
+            const TensorShape uv_shape = calculate_subsampled_shape(image_shape, format);
+            const TensorInfo  info_hor2(uv_shape, Format::U8);
+
+            tensor_planes.resize(3);
+
+            tensor_planes[0].allocator()->init(info);
+            tensor_planes[1].allocator()->init(info_hor2);
+            tensor_planes[2].allocator()->init(info_hor2);
+            break;
+        }
+        case Format::NV12:
+        case Format::NV21:
+        case Format::IYUV:
+        {
+            const TensorShape sub2_shape = calculate_subsampled_shape(image_shape, format);
+            const TensorInfo  info_sub2(sub2_shape, Format::U8);
+
+            tensor_planes.resize(3);
+
+            tensor_planes[0].allocator()->init(info);
+            tensor_planes[1].allocator()->init(info_sub2);
+            tensor_planes[2].allocator()->init(info_sub2);
+            break;
+        }
+        default:
+            ARM_COMPUTE_ERROR("Not supported");
+            break;
+    }
+
+    return tensor_planes;
+}
+} // namespace
+
+template <typename MultiImageType, typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class ChannelCombineValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, Format format)
+    {
+        _num_planes = num_planes_from_format(format);
+        _target     = compute_target(shape, format);
+        _reference  = compute_reference(shape, format);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor, int i)
+    {
+        library->fill_tensor_uniform(tensor, i);
+    }
+
+    template <typename U>
+    std::vector<SimpleTensor<U>> create_tensor_planes_reference(const TensorShape &shape, Format format)
+    {
+        std::vector<SimpleTensor<U>> tensor_planes;
+
+        TensorShape image_shape = adjust_odd_shape(shape, format);
+
+        switch(format)
+        {
+            case Format::RGB888:
+            case Format::RGBA8888:
+            case Format::YUV444:
+            {
+                if(format == Format::RGBA8888)
+                {
+                    tensor_planes.emplace_back(image_shape, Format::U8);
+                }
+
+                tensor_planes.emplace_back(image_shape, Format::U8);
+                tensor_planes.emplace_back(image_shape, Format::U8);
+                tensor_planes.emplace_back(image_shape, Format::U8);
+                break;
+            }
+            case Format::YUYV422:
+            case Format::UYVY422:
+            {
+                const TensorShape hor2_shape = calculate_subsampled_shape(image_shape, format);
+
+                tensor_planes.emplace_back(image_shape, Format::U8);
+                tensor_planes.emplace_back(hor2_shape, Format::U8);
+                tensor_planes.emplace_back(hor2_shape, Format::U8);
+                break;
+            }
+            case Format::NV12:
+            case Format::NV21:
+            case Format::IYUV:
+            {
+                const TensorShape shape_sub2 = calculate_subsampled_shape(image_shape, format);
+
+                tensor_planes.emplace_back(image_shape, Format::U8);
+                tensor_planes.emplace_back(shape_sub2, Format::U8);
+                tensor_planes.emplace_back(shape_sub2, Format::U8);
+                break;
+            }
+            default:
+                ARM_COMPUTE_ERROR("Not supported");
+                break;
+        }
+
+        return tensor_planes;
+    }
+
+    MultiImageType compute_target(const TensorShape &shape, Format format)
+    {
+        // Create tensors
+        std::vector<TensorType> ref_src = create_tensor_planes<TensorType>(shape, format);
+        MultiImageType          dst     = create_multi_image<MultiImageType>(shape, format);
+
+        // Create and configure function
+        FunctionType channel_combine;
+
+        if(1 == _num_planes)
+        {
+            const TensorType *tensor_extra = ((Format::RGBA8888 == format) ? &ref_src[3] : nullptr);
+            TensorType       *tensor_dst   = dynamic_cast<TensorType *>(dst.plane(0));
+
+            channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], tensor_extra, tensor_dst);
+        }
+        else
+        {
+            channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], &dst);
+        }
+
+        for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx)
+        {
+            const TensorType *dst_plane = static_cast<const TensorType *>(dst.plane(plane_idx));
+
+            ARM_COMPUTE_EXPECT(dst_plane->info()->is_resizable(), framework::LogLevel::ERRORS);
+        }
+
+        for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx)
+        {
+            ARM_COMPUTE_EXPECT(ref_src[plane_idx].info()->is_resizable(), framework::LogLevel::ERRORS);
+        }
+
+        // Allocate tensors
+        dst.allocate();
+
+        for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx)
+        {
+            ref_src[plane_idx].allocator()->allocate();
+        }
+
+        for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx)
+        {
+            const TensorType *dst_plane = static_cast<const TensorType *>(dst.plane(plane_idx));
+
+            ARM_COMPUTE_EXPECT(!dst_plane->info()->is_resizable(), framework::LogLevel::ERRORS);
+        }
+
+        for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx)
+        {
+            ARM_COMPUTE_EXPECT(!ref_src[plane_idx].info()->is_resizable(), framework::LogLevel::ERRORS);
+        }
+
+        // Fill tensor planes
+        for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx)
+        {
+            fill(AccessorType(ref_src[plane_idx]), plane_idx);
+        }
+
+        // Compute function
+        channel_combine.run();
+
+        return dst;
+    }
+
+    std::vector<SimpleTensor<T>> compute_reference(const TensorShape &shape, Format format)
+    {
+        // Create reference
+        std::vector<SimpleTensor<T>> ref_src = create_tensor_planes_reference<T>(shape, format);
+
+        // Fill references
+        for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx)
+        {
+            fill(ref_src[plane_idx], plane_idx);
+        }
+
+        return reference::channel_combine<T>(shape, ref_src, format);
+    }
+
+    unsigned int                 _num_planes{};
+    MultiImageType               _target{};
+    std::vector<SimpleTensor<T>> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_CHANNEL_COMBINE_FIXTURE */
diff --git a/tests/validation/reference/ChannelCombine.cpp b/tests/validation/reference/ChannelCombine.cpp
new file mode 100644
index 0000000000..c1ec3ec578
--- /dev/null
+++ b/tests/validation/reference/ChannelCombine.cpp
@@ -0,0 +1,201 @@
+/*
+ * 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
diff --git a/tests/validation/reference/ChannelCombine.h b/tests/validation/reference/ChannelCombine.h
new file mode 100644
index 0000000000..cc6607de49
--- /dev/null
+++ b/tests/validation/reference/ChannelCombine.h
@@ -0,0 +1,43 @@
+/*
+ * 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_COMBINE_H__
+#define __ARM_COMPUTE_TEST_CHANNEL_COMBINE_H__
+
+#include "tests/SimpleTensor.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+std::vector<SimpleTensor<T>> channel_combine(const TensorShape &shape, const std::vector<SimpleTensor<T>> &image_planes, Format format);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_CHANNEL_COMBINE_H__ */