COMPMID-566: Implement reference and CL/NEON validation for ColorConvert (part 1)

- Image to MultiImage will be in part 2

Change-Id: Id2f22c39fb41a78a360d20d2c3bdecd57cdfd152
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/128321
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>

8 files changed, 1060 insertions, 2 deletions

diff --git a/src/core/CL/kernels/CLColorConvertKernel.cpp b/src/core/CL/kernels/CLColorConvertKernel.cpp
index ead2b8f092..52d9be9418 100644
--- a/src/core/CL/kernels/CLColorConvertKernel.cpp
+++ b/src/core/CL/kernels/CLColorConvertKernel.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2016, 2017 ARM Limited.
+ * Copyright (c) 2016-2018 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
diff --git a/src/core/NEON/kernels/NEColorConvertKernel.cpp b/src/core/NEON/kernels/NEColorConvertKernel.cpp
index 347aeaede6..4582c88487 100644
--- a/src/core/NEON/kernels/NEColorConvertKernel.cpp
+++ b/src/core/NEON/kernels/NEColorConvertKernel.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2016, 2017 ARM Limited.
+ * Copyright (c) 2016-2018 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
diff --git a/tests/validation/CL/ColorConvert.cpp b/tests/validation/CL/ColorConvert.cpp
new file mode 100644
index 0000000000..6d04511629
--- /dev/null
+++ b/tests/validation/CL/ColorConvert.cpp
@@ -0,0 +1,170 @@
+/*
+ * 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/runtime/CL/CLMultiImage.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/CLTensorAllocator.h"
+#include "arm_compute/runtime/CL/functions/CLColorConvert.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/ColorConvertFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+// Input data sets
+const auto ColorConvertRGBADataset = combine(framework::dataset::make("FormatType", { Format::RGBA8888 }),
+                                             framework::dataset::make("FormatType", { Format::RGB888 }));
+const auto ColorConvertYUVDataset = combine(framework::dataset::make("FormatType", { Format::YUYV422, Format::UYVY422 }),
+                                            framework::dataset::make("FormatType", { Format::RGB888, Format::RGBA8888 }));
+
+const auto ColorConvertYUVPlanarDataset = combine(framework::dataset::make("FormatType", { Format::IYUV, Format::NV12, Format::NV21 }),
+                                                  framework::dataset::make("FormatType", { Format::RGB888, Format::RGBA8888 }));
+
+const auto ColorConvertRGBDataset = combine(framework::dataset::make("FormatType", { Format::RGB888 }),
+                                            framework::dataset::make("FormatType", { Format::RGBA8888 }));
+
+inline void validate_configuration(const TensorShape &shape, Format src_format, Format dst_format)
+{
+    const unsigned int src_num_planes = num_planes_from_format(src_format);
+
+    const TensorShape dst_shape = adjust_odd_shape(shape, src_format);
+
+    // Create tensors
+    CLMultiImage ref_src = create_multi_image<CLMultiImage>(shape, src_format);
+    CLTensor     dst     = create_tensor<CLTensor>(dst_shape, dst_format);
+
+    // Create and Configure function
+    CLColorConvert color_convert;
+
+    if(1U == src_num_planes)
+    {
+        const CLTensor *plane_src = ref_src.cl_plane(0);
+
+        color_convert.configure(plane_src, &dst);
+        const ValidRegion dst_valid_region = shape_to_valid_region(dst_shape);
+        validate(dst.info()->valid_region(), dst_valid_region);
+    }
+    else
+    {
+        color_convert.configure(&ref_src, &dst);
+    }
+}
+} // namespace
+
+TEST_SUITE(CL)
+TEST_SUITE(ColorConvert)
+
+TEST_SUITE(Configuration)
+DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvertRGBADataset),
+               shape, src_format, dst_format)
+{
+    validate_configuration(shape, src_format, dst_format);
+}
+
+DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvertYUVDataset),
+               shape, src_format, dst_format)
+{
+    validate_configuration(shape, src_format, dst_format);
+}
+
+DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvertYUVPlanarDataset),
+               shape, src_format, dst_format)
+{
+    validate_configuration(shape, src_format, dst_format);
+}
+
+DATA_TEST_CASE(RGB, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvertRGBDataset),
+               shape, src_format, dst_format)
+{
+    validate_configuration(shape, src_format, dst_format);
+}
+TEST_SUITE_END()
+
+template <typename T>
+using CLColorConvertFixture = ColorConvertValidationFixture<CLMultiImage, CLTensor, CLAccessor, CLColorConvert, T>;
+
+TEST_SUITE(RGBA)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvertRGBADataset))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvertRGBADataset))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(YUV)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvertYUVDataset))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvertYUVDataset))
+{
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(YUVPlanar)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvertYUVPlanarDataset))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvertYUVPlanarDataset))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(RGB)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvertRGBDataset))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvertRGBDataset))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/NEON/ColorConvert.cpp b/tests/validation/NEON/ColorConvert.cpp
new file mode 100644
index 0000000000..ab6ec5b725
--- /dev/null
+++ b/tests/validation/NEON/ColorConvert.cpp
@@ -0,0 +1,173 @@
+/*
+ * 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/runtime/MultiImage.h"
+#include "arm_compute/runtime/NEON/functions/NEColorConvert.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/ColorConvertFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+// Input data sets
+const auto ColorConvertRGBADataset = combine(framework::dataset::make("FormatType", { Format::RGBA8888 }),
+                                             framework::dataset::make("FormatType", { Format::RGB888 }));
+const auto ColorConvertYUVDataset = combine(framework::dataset::make("FormatType", { Format::YUYV422, Format::UYVY422 }),
+                                            framework::dataset::make("FormatType", { Format::RGB888, Format::RGBA8888 }));
+
+const auto ColorConvertYUVPlanarDataset = combine(framework::dataset::make("FormatType", { Format::IYUV, Format::NV12, Format::NV21 }),
+                                                  framework::dataset::make("FormatType", { Format::RGB888, Format::RGBA8888 }));
+
+const auto ColorConvertRGBDataset = combine(framework::dataset::make("FormatType", { Format::RGB888 }),
+                                            framework::dataset::make("FormatType", { Format::RGBA8888 }));
+
+inline void validate_configuration(const TensorShape &shape, Format src_format, Format dst_format)
+{
+    const unsigned int src_num_planes = num_planes_from_format(src_format);
+
+    const TensorShape dst_shape = adjust_odd_shape(shape, src_format);
+
+    // Create tensors
+    MultiImage ref_src = create_multi_image<MultiImage>(shape, src_format);
+    Tensor     dst     = create_tensor<Tensor>(dst_shape, dst_format);
+
+    // Create and Configure function
+    NEColorConvert color_convert;
+
+    if(1U == src_num_planes)
+    {
+        const Tensor *plane_src = ref_src.plane(0);
+
+        color_convert.configure(plane_src, &dst);
+        const ValidRegion dst_valid_region = shape_to_valid_region(dst_shape);
+        validate(dst.info()->valid_region(), dst_valid_region);
+    }
+    else
+    {
+        color_convert.configure(&ref_src, &dst);
+    }
+}
+} // namespace
+
+TEST_SUITE(NEON)
+TEST_SUITE(ColorConvert)
+
+TEST_SUITE(Configuration)
+DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvertRGBADataset),
+               shape, src_format, dst_format)
+{
+    validate_configuration(shape, src_format, dst_format);
+}
+
+DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvertYUVDataset),
+               shape, src_format, dst_format)
+{
+    validate_configuration(shape, src_format, dst_format);
+}
+
+DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvertYUVPlanarDataset),
+               shape, src_format, dst_format)
+{
+    validate_configuration(shape, src_format, dst_format);
+}
+
+DATA_TEST_CASE(RGB, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvertRGBDataset),
+               shape, src_format, dst_format)
+{
+    validate_configuration(shape, src_format, dst_format);
+}
+TEST_SUITE_END()
+
+template <typename T>
+using NEColorConvertFixture = ColorConvertValidationFixture<MultiImage, Tensor, Accessor, NEColorConvert, T>;
+
+TEST_SUITE(RGBA)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvertRGBADataset))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvertRGBADataset))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+
+TEST_SUITE_END()
+
+TEST_SUITE(YUV)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvertYUVDataset))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvertYUVDataset))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+
+TEST_SUITE_END()
+
+TEST_SUITE(YUVPlanar)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvertYUVPlanarDataset))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvertYUVPlanarDataset))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(RGB)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvertRGBDataset))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvertRGBDataset))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+TEST_SUITE_END()
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/fixtures/ColorConvertFixture.h b/tests/validation/fixtures/ColorConvertFixture.h
new file mode 100644
index 0000000000..bd00d4f724
--- /dev/null
+++ b/tests/validation/fixtures/ColorConvertFixture.h
@@ -0,0 +1,195 @@
+/*
+ * 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_COLOR_CONVERT_FIXTURE
+#define ARM_COMPUTE_TEST_COLOR_CONVERT_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/ColorConvert.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+}
+template <typename MultiImageType, typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class ColorConvertValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, Format src_format, Format dst_format)
+    {
+        shape = adjust_odd_shape(shape, src_format);
+
+        _target    = compute_target(shape, src_format, dst_format);
+        _reference = compute_reference(shape, src_format, dst_format);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor, int i)
+    {
+        library->fill_tensor_uniform(tensor, 1);
+    }
+
+    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 src_format, Format dst_format)
+    {
+        const unsigned int num_planes = num_planes_from_format(src_format);
+
+        // Create tensors
+        MultiImageType ref_src = create_multi_image<MultiImageType>(shape, src_format);
+        TensorType     dst     = create_tensor<TensorType>(shape, dst_format);
+
+        // Create and configure function
+        FunctionType color_convert;
+
+        if(1U == num_planes)
+        {
+            const TensorType *plane_src = static_cast<TensorType *>(ref_src.plane(0));
+            color_convert.configure(plane_src, &dst);
+        }
+        else
+        {
+            color_convert.configure(&ref_src, &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
+        color_convert.run();
+
+        return dst;
+    }
+
+    SimpleTensor<T> compute_reference(const TensorShape &shape, Format src_format, Format dst_format)
+    {
+        _num_planes = num_planes_from_format(dst_format);
+
+        // Create reference
+        std::vector<SimpleTensor<T>> ref_src = create_tensor_planes_reference(shape, src_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::color_convert<T>(shape, ref_src, src_format, dst_format);
+    }
+
+    unsigned int    _num_planes{};
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_COLOR_CONVERT_FIXTURE */
diff --git a/tests/validation/reference/ColorConvert.cpp b/tests/validation/reference/ColorConvert.cpp
new file mode 100644
index 0000000000..bd93eb6a61
--- /dev/null
+++ b/tests/validation/reference/ColorConvert.cpp
@@ -0,0 +1,134 @@
+/*
+ * 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 "ColorConvert.h"
+
+#include "arm_compute/core/Types.h"
+#include "tests/validation/FixedPoint.h"
+#include "tests/validation/Helpers.h"
+#include "tests/validation/reference/ColorConvertHelper.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+namespace
+{
+} // namespace
+
+template <typename T>
+SimpleTensor<uint8_t> color_convert(const TensorShape &shape, const std::vector<SimpleTensor<T>> &tensor_planes, Format src_format, Format dst_format)
+{
+    // Create dst and get src tensor
+    SimpleTensor<T> src = tensor_planes[0];
+    SimpleTensor<T> dst(shape, dst_format);
+
+    switch(src_format)
+    {
+        case Format::RGB888:
+        {
+            switch(dst_format)
+            {
+                case Format::RGBA8888:
+                    colorconvert_helper::detail::colorconvert_rgb_to_rgbx(src, dst);
+                    break;
+                default:
+                    ARM_COMPUTE_ERROR("Not Supported");
+                    break;
+            }
+            break;
+        }
+        case Format::RGBA8888:
+        {
+            switch(dst_format)
+            {
+                case Format::RGB888:
+                    colorconvert_helper::detail::colorconvert_rgbx_to_rgb(src, dst);
+                    break;
+                default:
+                    ARM_COMPUTE_ERROR("Not Supported");
+                    break;
+            }
+            break;
+        }
+        case Format::UYVY422:
+        case Format::YUYV422:
+        {
+            switch(dst_format)
+            {
+                case Format::RGB888:
+                case Format::RGBA8888:
+                    colorconvert_helper::detail::colorconvert_yuyv_to_rgb(src, src_format, dst);
+                    break;
+                default:
+                    ARM_COMPUTE_ERROR("Not Supported");
+                    break;
+            }
+            break;
+        }
+        case Format::IYUV:
+        {
+            switch(dst_format)
+            {
+                case Format::RGB888:
+                case Format::RGBA8888:
+                    colorconvert_helper::detail::colorconvert_iyuv_to_rgb(shape, tensor_planes, dst);
+                    break;
+                default:
+                    ARM_COMPUTE_ERROR("Not Supported");
+                    break;
+            }
+            break;
+        }
+        case Format::NV12:
+        case Format::NV21:
+        {
+            switch(dst_format)
+            {
+                case Format::RGB888:
+                case Format::RGBA8888:
+                    colorconvert_helper::detail::colorconvert_nv12_to_rgb(shape, src_format, tensor_planes, dst);
+                    break;
+                default:
+                    ARM_COMPUTE_ERROR("Not Supported");
+                    break;
+            }
+            break;
+        }
+        default:
+            ARM_COMPUTE_ERROR("Not supported");
+            break;
+    }
+
+    return dst;
+}
+
+template SimpleTensor<uint8_t> color_convert(const TensorShape &shape, const std::vector<SimpleTensor<uint8_t>> &tensor_planes, Format src_format, Format dst_format);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/reference/ColorConvert.h b/tests/validation/reference/ColorConvert.h
new file mode 100644
index 0000000000..2a8602e7ab
--- /dev/null
+++ b/tests/validation/reference/ColorConvert.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_COLOR_CONVERT_H__
+#define __ARM_COMPUTE_TEST_COLOR_CONVERT_H__
+
+#include "tests/SimpleTensor.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<uint8_t> color_convert(const TensorShape &shape, const std::vector<SimpleTensor<T>> &tensor_planes, Format src_format, Format dst_format);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_COLOR_CONVERT_H__ */
diff --git a/tests/validation/reference/ColorConvertHelper.h b/tests/validation/reference/ColorConvertHelper.h
new file mode 100644
index 0000000000..4daa7025cb
--- /dev/null
+++ b/tests/validation/reference/ColorConvertHelper.h
@@ -0,0 +1,343 @@
+/*
+ * 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:
+ *asymm_int_mult
+ * 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, asymm_int_multDAMAGES 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_VALIDATION_COLOR_CONVERT_H__
+#define __ARM_COMPUTE_TEST_VALIDATION_COLOR_CONVERT_H__
+
+#include "Utils.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace colorconvert_helper
+{
+namespace detail
+{
+constexpr float red_coef_bt709    = 1.5748F;
+constexpr float green_coef_bt709  = -0.1873f;
+constexpr float green_coef2_bt709 = -0.4681f;
+constexpr float blue_coef_bt709   = 1.8556f;
+
+template <typename T>
+inline void yuyv_to_rgb_calculation(const SimpleTensor<T> yvec, const SimpleTensor<T> vvec, const SimpleTensor<T> yyvec, const SimpleTensor<T> uvec, SimpleTensor<T> &dst)
+{
+    const int dst_width  = dst.shape().x();
+    const int dst_height = dst.shape().y();
+
+    for(int y = 0; y < dst_height; ++y)
+    {
+        int x_coord = 0;
+        for(int x = 0; x < dst_width; x += 2, x_coord++)
+        {
+            Coordinates dst_coord{ x, y };
+            auto       *dst_pixel = reinterpret_cast<T *>(dst(dst_coord));
+            float       result    = 0.f;
+
+            T           border_value(0);
+            const int   yvec_val  = validation::tensor_elem_at(yvec, { x_coord, y }, BorderMode::CONSTANT, border_value);
+            const int   vvec_val  = validation::tensor_elem_at(vvec, { x_coord, y }, BorderMode::CONSTANT, border_value);
+            const int   yyvec_val = validation::tensor_elem_at(yyvec, { x_coord, y }, BorderMode::CONSTANT, border_value);
+            const int   uvec_val  = validation::tensor_elem_at(uvec, { x_coord, y }, BorderMode::CONSTANT, border_value);
+            const float red       = (vvec_val - 128) * red_coef_bt709;
+            const float green     = (uvec_val - 128) * green_coef_bt709 + (vvec_val - 128) * green_coef2_bt709;
+            const float blue      = (uvec_val - 128) * blue_coef_bt709;
+
+            for(int channel_idx = 0; channel_idx < dst.num_channels(); ++channel_idx)
+            {
+                if(channel_idx == 0)
+                {
+                    // Channel 'R'
+                    result = yvec_val + red;
+                }
+                else if(channel_idx == 1)
+                {
+                    // Channel 'G'
+                    result = yvec_val + green;
+                }
+                else if(channel_idx == 2)
+                {
+                    // Channel 'B'
+                    result = yvec_val + blue;
+                }
+                else
+                {
+                    // Channel 'A'
+                    result = 255;
+                }
+
+                if(result < 0)
+                {
+                    result = 0;
+                }
+                else if(result > 255)
+                {
+                    result = 255;
+                }
+                dst_pixel[channel_idx] = result;
+            }
+
+            dst_coord.set(0, x + 1);
+            dst_pixel = reinterpret_cast<T *>(dst(dst_coord));
+            for(int channel_idx = 0; channel_idx < dst.num_channels(); ++channel_idx)
+            {
+                if(channel_idx == 0)
+                {
+                    // Channel 'R'
+                    result = yyvec_val + red;
+                }
+                else if(channel_idx == 1)
+                {
+                    // Channel 'G'
+                    result = yyvec_val + green;
+                }
+                else if(channel_idx == 2)
+                {
+                    // Channel 'B'
+                    result = yyvec_val + blue;
+                }
+                else
+                {
+                    // Channel 'A'
+                    result = 255;
+                }
+
+                if(result < 0)
+                {
+                    result = 0;
+                }
+                else if(result > 255)
+                {
+                    result = 255;
+                }
+                dst_pixel[channel_idx] = result;
+            }
+        }
+    }
+}
+
+template <typename T>
+inline void colorconvert_rgb_to_rgbx(const SimpleTensor<T> src, SimpleTensor<T> &dst)
+{
+    for(int channel_idx = 0; channel_idx < dst.num_channels(); ++channel_idx)
+    {
+        const int width  = dst.shape().x();
+        const int height = dst.shape().y();
+
+        for(int y = 0; y < height; ++y)
+        {
+            for(int x = 0; x < width; ++x)
+            {
+                const Coordinates src_coord{ x, y };
+                const Coordinates dst_coord{ x, y };
+
+                const auto *src_pixel = reinterpret_cast<const T *>(src(src_coord));
+                auto       *dst_pixel = reinterpret_cast<T *>(dst(dst_coord));
+                if(channel_idx == 3)
+                {
+                    dst_pixel[channel_idx] = 255;
+                    continue;
+                }
+
+                dst_pixel[channel_idx] = src_pixel[channel_idx];
+            }
+        }
+    }
+}
+
+template <typename T>
+inline void colorconvert_rgbx_to_rgb(const SimpleTensor<T> src, SimpleTensor<T> &dst)
+{
+    for(int channel_idx = 0; channel_idx < dst.num_channels(); ++channel_idx)
+    {
+        const int width  = dst.shape().x();
+        const int height = dst.shape().y();
+
+        for(int y = 0; y < height; ++y)
+        {
+            for(int x = 0; x < width; ++x)
+            {
+                const Coordinates src_coord{ x, y };
+                const Coordinates dst_coord{ x, y };
+
+                const auto *src_pixel = reinterpret_cast<const T *>(src(src_coord));
+                auto       *dst_pixel = reinterpret_cast<T *>(dst(dst_coord));
+
+                dst_pixel[channel_idx] = src_pixel[channel_idx];
+            }
+        }
+    }
+}
+
+template <typename T>
+inline void colorconvert_yuyv_to_rgb(const SimpleTensor<T> src, const Format format, SimpleTensor<T> &dst)
+{
+    SimpleTensor<T> yvec(TensorShape{ src.shape().x(), src.shape().y() }, Format::U8);
+    SimpleTensor<T> uvec(TensorShape{ src.shape().x(), src.shape().y() }, Format::U8);
+    SimpleTensor<T> yyvec(TensorShape{ src.shape().x(), src.shape().y() }, Format::U8);
+    SimpleTensor<T> vvec(TensorShape{ src.shape().x(), src.shape().y() }, Format::U8);
+
+    const int step_x = (Format::YUYV422 == format || Format::UYVY422 == format) ? 2 : 1;
+
+    const int   offset = (Format::YUYV422 == format) ? 0 : 1;
+    Coordinates elem_coord{ 0, 0 };
+
+    const int width  = vvec.shape().x();
+    const int height = vvec.shape().y();
+
+    for(int y = 0; y < height; ++y)
+    {
+        for(int x = 0; x < width; ++x)
+        {
+            const Coordinates src_coord{ x * step_x, y };
+            const auto       *src_pixel   = reinterpret_cast<const T *>(src(src_coord));
+            auto             *yvec_pixel  = reinterpret_cast<T *>(yvec(elem_coord));
+            auto             *uvec_pixel  = reinterpret_cast<T *>(uvec(elem_coord));
+            auto             *yyvec_pixel = reinterpret_cast<T *>(yyvec(elem_coord));
+            auto             *vvec_pixel  = reinterpret_cast<T *>(vvec(elem_coord));
+            yvec_pixel[x]                 = src_pixel[0 + offset];
+            uvec_pixel[x]                 = src_pixel[1 - offset];
+            yyvec_pixel[x]                = src_pixel[2 + offset];
+            vvec_pixel[x]                 = src_pixel[3 - offset];
+        }
+        elem_coord.set(1, y + 1);
+    }
+
+    yuyv_to_rgb_calculation(yvec, vvec, yyvec, uvec, dst);
+}
+
+template <typename T>
+inline void colorconvert_iyuv_to_rgb(const TensorShape &shape, const std::vector<SimpleTensor<T>> &tensor_planes, SimpleTensor<T> &dst)
+{
+    SimpleTensor<T> yvec(TensorShape{ tensor_planes[0].shape().x(), tensor_planes[0].shape().y() }, Format::U8);
+    SimpleTensor<T> uvec(TensorShape{ tensor_planes[0].shape().x(), tensor_planes[0].shape().y() }, Format::U8);
+    SimpleTensor<T> yyvec(TensorShape{ tensor_planes[0].shape().x(), tensor_planes[0].shape().y() }, Format::U8);
+    SimpleTensor<T> vvec(TensorShape{ tensor_planes[0].shape().x(), tensor_planes[0].shape().y() }, Format::U8);
+
+    Coordinates elem_coord{ 0, 0 };
+    const int   yvec_width  = yvec.shape().x();
+    const int   yvec_height = yvec.shape().y();
+
+    for(int y = 0; y < yvec_height; ++y)
+    {
+        for(int x = 0; x < yvec_width; ++x)
+        {
+            const Coordinates src_coord{ x, y };
+            const auto       *src_pixel   = reinterpret_cast<const T *>(tensor_planes[0](src_coord));
+            auto             *yvec_pixel  = reinterpret_cast<T *>(yvec(elem_coord));
+            auto             *yyvec_pixel = reinterpret_cast<T *>(yyvec(elem_coord));
+            yvec_pixel[x]                 = src_pixel[x];
+            yyvec_pixel[x]                = src_pixel[x + 1];
+        }
+        elem_coord.set(1, y + 1);
+    }
+
+    const int uvec_width  = uvec.shape().x();
+    const int uvec_height = uvec.shape().y();
+
+    Coordinates top_elem_coord{ 0, 0 };
+    Coordinates bottom_elem_coord{ 0, 1 };
+    for(int y = 0; y < uvec_height; y += 2)
+    {
+        for(int x = 0; x < uvec_width; ++x)
+        {
+            const Coordinates src_coord{ x, y / 2 };
+            const auto       *src_pixel      = reinterpret_cast<const T *>(tensor_planes[1](src_coord));
+            auto             *uvec_pixel_top = reinterpret_cast<T *>(uvec(top_elem_coord));
+            auto             *vvec_pixel_top = reinterpret_cast<T *>(vvec(top_elem_coord));
+
+            auto *uvec_pixel_bottom = reinterpret_cast<T *>(uvec(bottom_elem_coord));
+            auto *vvec_pixel_bottom = reinterpret_cast<T *>(vvec(bottom_elem_coord));
+            uvec_pixel_top[x]       = src_pixel[0];
+            vvec_pixel_top[x]       = src_pixel[0];
+            uvec_pixel_bottom[x]    = src_pixel[0];
+            vvec_pixel_bottom[x]    = src_pixel[0];
+        }
+        top_elem_coord.set(1, y + 2);
+        bottom_elem_coord.set(1, top_elem_coord.y() + 1);
+    }
+
+    yuyv_to_rgb_calculation(yvec, vvec, yyvec, uvec, dst);
+}
+
+template <typename T>
+inline void colorconvert_nv12_to_rgb(const TensorShape &shape, const Format format, const std::vector<SimpleTensor<T>> &tensor_planes, SimpleTensor<T> &dst)
+{
+    SimpleTensor<T> yvec(TensorShape{ tensor_planes[0].shape().x(), tensor_planes[0].shape().y() }, Format::U8);
+    SimpleTensor<T> uvec(TensorShape{ tensor_planes[0].shape().x(), tensor_planes[0].shape().y() }, Format::U8);
+    SimpleTensor<T> yyvec(TensorShape{ tensor_planes[0].shape().x(), tensor_planes[0].shape().y() }, Format::U8);
+    SimpleTensor<T> vvec(TensorShape{ tensor_planes[0].shape().x(), tensor_planes[0].shape().y() }, Format::U8);
+
+    const int offset = (Format::NV12 == format) ? 0 : 1;
+
+    Coordinates elem_coord{ 0, 0 };
+    const int   yvec_width  = yvec.shape().x();
+    const int   yvec_height = yvec.shape().y();
+
+    for(int y = 0; y < yvec_height; ++y)
+    {
+        for(int x = 0; x < yvec_width; ++x)
+        {
+            const Coordinates src_coord{ x, y };
+            const auto       *src_pixel   = reinterpret_cast<const T *>(tensor_planes[0](src_coord));
+            auto             *yvec_pixel  = reinterpret_cast<T *>(yvec(elem_coord));
+            auto             *yyvec_pixel = reinterpret_cast<T *>(yyvec(elem_coord));
+            yvec_pixel[x]                 = src_pixel[x];
+            yyvec_pixel[x]                = src_pixel[x + 1];
+        }
+        elem_coord.set(1, y + 1);
+    }
+
+    const int uvec_width  = uvec.shape().x();
+    const int uvec_height = uvec.shape().y();
+
+    Coordinates top_elem_coord{ 0, 0 };
+    Coordinates bottom_elem_coord{ 0, 1 };
+    for(int y = 0; y < uvec_height; y += 2)
+    {
+        for(int x = 0; x < uvec_width; ++x)
+        {
+            const Coordinates src_coord{ x, y / 2 };
+            const auto       *src_pixel      = reinterpret_cast<const T *>(tensor_planes[1](src_coord));
+            auto             *uvec_pixel_top = reinterpret_cast<T *>(uvec(top_elem_coord));
+            auto             *vvec_pixel_top = reinterpret_cast<T *>(vvec(top_elem_coord));
+
+            auto *uvec_pixel_bottom = reinterpret_cast<T *>(uvec(bottom_elem_coord));
+            auto *vvec_pixel_bottom = reinterpret_cast<T *>(vvec(bottom_elem_coord));
+            uvec_pixel_top[x]       = src_pixel[0 + offset];
+            vvec_pixel_top[x]       = src_pixel[1 - offset];
+            uvec_pixel_bottom[x]    = src_pixel[0 + offset];
+            vvec_pixel_bottom[x]    = src_pixel[1 - offset];
+        }
+        top_elem_coord.set(1, y + 2);
+        bottom_elem_coord.set(1, top_elem_coord.y() + 1);
+    }
+
+    yuyv_to_rgb_calculation(yvec, vvec, yyvec, uvec, dst);
+}
+
+} // namespace detail
+} // color_convert_helper
+} // namespace test
+} // namespace arm_compute
+#endif /*__ARM_COMPUTE_TEST_VALIDATION_COLOR_CONVERT_H__ */