COMPMID-510: Port Warp Perspective to new validation

Change-Id: I0d96ceb9d9d1d077bec09330cda4fbe6d81ce641
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/88476
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>

14 files changed, 580 insertions, 597 deletions

diff --git a/tests/validation/CL/WarpPerspective.cpp b/tests/validation/CL/WarpPerspective.cpp
new file mode 100644
index 0000000000..011fe905da
--- /dev/null
+++ b/tests/validation/CL/WarpPerspective.cpp
@@ -0,0 +1,128 @@
+/*
+ * Copyright (c) 2017 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/functions/CLWarpPerspective.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/BorderModeDataset.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/WarpPerspectiveFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+constexpr AbsoluteTolerance<uint8_t> tolerance_value(1);
+constexpr float                      tolerance_number = 0.2f;
+} // namespace
+
+TEST_SUITE(CL)
+TEST_SUITE(WarpPerspective)
+
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", DataType::U8)),
+                                                                           framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
+                                                                   datasets::BorderModes()),
+               shape, data_type, policy, border_mode)
+{
+    uint8_t constant_border_value = 0;
+
+    // Generate a random constant value if border_mode is constant
+    if(border_mode == BorderMode::CONSTANT)
+    {
+        std::mt19937                           gen(library->seed());
+        std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
+        constant_border_value = distribution_u8(gen);
+    }
+
+    // Create the matrix
+    std::array<float, 9> matrix = { { 0 } };
+    fill_warp_matrix<9>(matrix, 3, 3);
+
+    // Create tensors
+    CLTensor src = create_tensor<CLTensor>(shape, data_type);
+    CLTensor dst = create_tensor<CLTensor>(shape, data_type);
+
+    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+    // Create and configure function
+    CLWarpPerspective warp_perspective;
+    warp_perspective.configure(&src, &dst, matrix.data(), policy, border_mode, constant_border_value);
+
+    // Validate valid region
+    const ValidRegion valid_region = shape_to_valid_region(shape);
+
+    validate(src.info()->valid_region(), valid_region);
+    validate(dst.info()->valid_region(), valid_region);
+
+    // Validate padding
+    PaddingCalculator calculator(shape.x(), 4);
+    calculator.set_border_mode(border_mode);
+
+    const PaddingSize read_padding(1);
+    const PaddingSize write_padding = calculator.required_padding(PaddingCalculator::Option::EXCLUDE_BORDER);
+
+    validate(src.info()->padding(), read_padding);
+    validate(dst.info()->padding(), write_padding);
+}
+
+template <typename T>
+using CLWarpPerspectiveFixture = WarpPerspectiveValidationFixture<CLTensor, CLAccessor, CLWarpPerspective, T>;
+
+FIXTURE_DATA_TEST_CASE(RunSmall, CLWarpPerspectiveFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType",
+                                                                                                                       DataType::U8)),
+                                                                                                                       framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
+                                                                                                               datasets::BorderModes()))
+{
+    // Create the valid mask Tensor
+    RawTensor valid_mask(_reference.shape(), _reference.data_type());
+
+    validate(CLAccessor(_target), _reference, valid_mask, tolerance_value, tolerance_number);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLWarpPerspectiveFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType",
+                                                                                                                     DataType::U8)),
+                                                                                                                     framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
+                                                                                                             datasets::BorderModes()))
+{
+    // Create the valid mask Tensor
+    RawTensor valid_mask{ _reference.shape(), _reference.data_type() };
+
+    validate(CLAccessor(_target), _reference, valid_mask, tolerance_value, tolerance_number);
+}
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/CPP/Utils.cpp b/tests/validation/CPP/Utils.cpp
index af3ed9099f..d163e8436f 100644
--- a/tests/validation/CPP/Utils.cpp
+++ b/tests/validation/CPP/Utils.cpp
@@ -35,8 +35,8 @@ namespace validation
 template <typename T>
 T bilinear_policy(const SimpleTensor<T> &in, Coordinates id, float xn, float yn, BorderMode border_mode, T constant_border_value)
 {
-    int idx = std::floor(xn);
-    int idy = std::floor(yn);
+    const int idx = std::floor(xn);
+    const int idy = std::floor(yn);
 
     const float dx   = xn - idx;
     const float dy   = yn - idy;
@@ -94,6 +94,19 @@ RawTensor transpose(const RawTensor &src, int chunk_width)
 
     return dst;
 }
+
+bool valid_bilinear_policy(float xn, float yn, int width, int height, BorderMode border_mode)
+{
+    if(border_mode != BorderMode::UNDEFINED)
+    {
+        return true;
+    }
+    if((0 <= yn + 1) && (yn + 1 < height) && (0 <= xn + 1) && (xn + 1 < width))
+    {
+        return true;
+    }
+    return false;
+}
 } // namespace validation
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/validation/CPP/Utils.h b/tests/validation/CPP/Utils.h
index e9a0f09847..38fd924afc 100644
--- a/tests/validation/CPP/Utils.h
+++ b/tests/validation/CPP/Utils.h
@@ -104,8 +104,6 @@ RawTensor transpose(const RawTensor &src, int chunk_width = 1);
 /** Fill matrix random.
  *
  * @param[in,out] matrix Matrix
- * @param[in]     cols   Columns (width) of matrix
- * @param[in]     rows   Rows (height) of matrix
  */
 template <std::size_t SIZE>
 inline void fill_warp_matrix(std::array<float, SIZE> &matrix, int cols, int rows)
@@ -126,6 +124,7 @@ inline void fill_warp_matrix(std::array<float, SIZE> &matrix, int cols, int rows
     }
 }
 
+bool valid_bilinear_policy(float xn, float yn, int width, int height, BorderMode border_mode);
 } // namespace validation
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/validation/CPP/WarpPerspective.cpp b/tests/validation/CPP/WarpPerspective.cpp
new file mode 100644
index 0000000000..7a50253d69
--- /dev/null
+++ b/tests/validation/CPP/WarpPerspective.cpp
@@ -0,0 +1,132 @@
+/*
+ * Copyright (c) 2017 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/Helpers.h"
+
+#include "Utils.h"
+#include "WarpPerspective.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> warp_perspective(const SimpleTensor<T> &src, SimpleTensor<T> &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value)
+{
+    SimpleTensor<T> dst(src.shape(), src.data_type());
+
+    // x0 = M00 * x + M01 * y + M02
+    // y0 = M10 * x + M11 * y + M12
+    // z0 = M20 * x + M21 * y + M22
+    // xn = x0 / z0
+    // yn = y0 / z0
+    const float M00 = matrix[0];
+    const float M10 = matrix[1];
+    const float M20 = matrix[2];
+    const float M01 = matrix[0 + 1 * 3];
+    const float M11 = matrix[1 + 1 * 3];
+    const float M21 = matrix[2 + 1 * 3];
+    const float M02 = matrix[0 + 2 * 3];
+    const float M12 = matrix[1 + 2 * 3];
+    const float M22 = matrix[2 + 2 * 3];
+
+    const int width  = src.shape().x();
+    const int height = src.shape().y();
+
+    for(int element_idx = 0; element_idx < src.num_elements(); ++element_idx)
+    {
+        valid_mask[element_idx] = 1;
+        Coordinates id          = index2coord(src.shape(), element_idx);
+        const int   idx         = id.x();
+        const int   idy         = id.y();
+        const float z0          = M20 * idx + M21 * idy + M22;
+
+        const float x0 = (M00 * idx + M01 * idy + M02);
+        const float y0 = (M10 * idx + M11 * idy + M12);
+
+        const float xn = x0 / z0;
+        const float yn = y0 / z0;
+        id.set(0, static_cast<int>(std::floor(xn)));
+        id.set(1, static_cast<int>(std::floor(yn)));
+        if((0 <= yn) && (yn < height) && (0 <= xn) && (xn < width))
+        {
+            switch(policy)
+            {
+                case InterpolationPolicy::NEAREST_NEIGHBOR:
+                    dst[element_idx] = tensor_elem_at(src, id, border_mode, constant_border_value);
+                    break;
+                case InterpolationPolicy::BILINEAR:
+                    (valid_bilinear_policy(xn, yn, width, height, border_mode)) ? dst[element_idx] = bilinear_policy(src, id, xn, yn, border_mode, constant_border_value) : valid_mask[element_idx] = 0;
+                    break;
+                case InterpolationPolicy::AREA:
+                default:
+                    ARM_COMPUTE_ERROR("Interpolation not supported");
+                    break;
+            }
+        }
+        else
+        {
+            if(border_mode == BorderMode::UNDEFINED)
+            {
+                valid_mask[element_idx] = 0;
+            }
+            else
+            {
+                switch(policy)
+                {
+                    case InterpolationPolicy::NEAREST_NEIGHBOR:
+                        if(border_mode == BorderMode::CONSTANT)
+                        {
+                            dst[element_idx] = constant_border_value;
+                        }
+                        else if(border_mode == BorderMode::REPLICATE)
+                        {
+                            id.set(0, std::max(0, std::min(static_cast<int>(xn), width - 1)));
+                            id.set(1, std::max(0, std::min(static_cast<int>(yn), height - 1)));
+                            dst[element_idx] = src[coord2index(src.shape(), id)];
+                        }
+                        break;
+                    case InterpolationPolicy::BILINEAR:
+                        dst[element_idx] = bilinear_policy(src, id, xn, yn, border_mode, constant_border_value);
+                        break;
+                    case InterpolationPolicy::AREA:
+                    default:
+                        ARM_COMPUTE_ERROR("Interpolation not supported");
+                        break;
+                }
+            }
+        }
+    }
+    return dst;
+}
+
+template SimpleTensor<uint8_t> warp_perspective(const SimpleTensor<uint8_t> &src, SimpleTensor<uint8_t> &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode,
+                                                uint8_t constant_border_value);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/CPP/WarpPerspective.h b/tests/validation/CPP/WarpPerspective.h
new file mode 100644
index 0000000000..2367f4d6dc
--- /dev/null
+++ b/tests/validation/CPP/WarpPerspective.h
@@ -0,0 +1,43 @@
+/*
+ * Copyright (c) 2017 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_WARP_PERSPECTIVE_H__
+#define __ARM_COMPUTE_TEST_WARP_PERSPECTIVE_H__
+
+#include "tests/SimpleTensor.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> warp_perspective(const SimpleTensor<T> &src, SimpleTensor<T> &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_WARP_PERSPECTIVE_H__ */
diff --git a/tests/validation/NEON/WarpPerspective.cpp b/tests/validation/NEON/WarpPerspective.cpp
new file mode 100644
index 0000000000..9c1358bb15
--- /dev/null
+++ b/tests/validation/NEON/WarpPerspective.cpp
@@ -0,0 +1,129 @@
+/*
+ * Copyright (c) 2017 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/NEON/functions/NEWarpPerspective.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/BorderModeDataset.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/WarpPerspectiveFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+constexpr AbsoluteTolerance<uint8_t> tolerance_value(1);
+constexpr float                      tolerance_number = 0.2f;
+} // namespace
+
+TEST_SUITE(NEON)
+TEST_SUITE(WarpPerspective)
+
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", DataType::U8)),
+                                                                           framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
+                                                                   datasets::BorderModes()),
+               shape, data_type, policy, border_mode)
+{
+    uint8_t constant_border_value = 0;
+
+    // Generate a random constant value if border_mode is constant
+    if(border_mode == BorderMode::CONSTANT)
+    {
+        std::mt19937                           gen(library->seed());
+        std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
+        constant_border_value = distribution_u8(gen);
+    }
+
+    // Create the matrix
+    std::array<float, 9> matrix = { { 0 } };
+    fill_warp_matrix<9>(matrix, 3, 3);
+
+    // Create tensors
+    Tensor src = create_tensor<Tensor>(shape, data_type);
+    Tensor dst = create_tensor<Tensor>(shape, data_type);
+
+    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+    // Create and configure function
+    NEWarpPerspective warp_perspective;
+    warp_perspective.configure(&src, &dst, matrix.data(), policy, border_mode, constant_border_value);
+
+    // Validate valid region
+    const ValidRegion valid_region = shape_to_valid_region(shape);
+
+    validate(src.info()->valid_region(), valid_region);
+    validate(dst.info()->valid_region(), valid_region);
+
+    // Validate padding
+    PaddingCalculator calculator(shape.x(), 1);
+    calculator.set_border_mode(border_mode);
+    calculator.set_border_size(1);
+
+    const PaddingSize read_padding(1);
+    const PaddingSize write_padding = calculator.required_padding();
+
+    validate(src.info()->padding(), read_padding);
+    validate(dst.info()->padding(), write_padding);
+}
+
+template <typename T>
+using NEWarpPerspectiveFixture = WarpPerspectiveValidationFixture<Tensor, Accessor, NEWarpPerspective, T>;
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEWarpPerspectiveFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType",
+                                                                                                                       DataType::U8)),
+                                                                                                                       framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
+                                                                                                               datasets::BorderModes()))
+{
+    // Create the valid mask Tensor
+    RawTensor valid_mask(_reference.shape(), _reference.data_type());
+
+    validate(Accessor(_target), _reference, valid_mask, tolerance_value, tolerance_number);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEWarpPerspectiveFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType",
+                                                                                                                     DataType::U8)),
+                                                                                                                     framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
+                                                                                                             datasets::BorderModes()))
+{
+    // Create the valid mask Tensor
+    RawTensor valid_mask{ _reference.shape(), _reference.data_type() };
+
+    validate(Accessor(_target), _reference, valid_mask, tolerance_value, tolerance_number);
+}
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/fixtures/WarpPerspectiveFixture.h b/tests/validation/fixtures/WarpPerspectiveFixture.h
new file mode 100644
index 0000000000..a99ee4e55b
--- /dev/null
+++ b/tests/validation/fixtures/WarpPerspectiveFixture.h
@@ -0,0 +1,132 @@
+/*
+ * Copyright (c) 2017 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_WARP_PERSPECTIVE_FIXTURE
+#define ARM_COMPUTE_TEST_WARP_PERSPECTIVE_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/CPP/Utils.h"
+#include "tests/validation/CPP/WarpPerspective.h"
+
+#include <random>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class WarpPerspectiveValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape input_shape, DataType data_type, InterpolationPolicy policy, BorderMode border_mode)
+    {
+        uint8_t constant_border_value = 0;
+        // Generate a random constant value if border_mode is constant
+        if(border_mode == BorderMode::CONSTANT)
+        {
+            std::mt19937                           gen(library->seed());
+            std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
+            constant_border_value = distribution_u8(gen);
+        }
+
+        const TensorShape vmask_shape(input_shape);
+
+        // Create the matrix
+        std::array<float, 9> matrix = { { 0 } };
+        fill_warp_matrix<9>(matrix, 3, 3);
+
+        _target    = compute_target(input_shape, vmask_shape, matrix.data(), policy, border_mode, constant_border_value, data_type);
+        _reference = compute_reference(input_shape, vmask_shape, matrix.data(), policy, border_mode, constant_border_value, data_type);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor, int i = 0)
+    {
+        library->fill_tensor_uniform(tensor, i);
+    }
+
+    TensorType compute_target(const TensorShape &shape, const TensorShape &vmask_shape, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value,
+                              DataType data_type)
+    {
+        // Create tensors
+        TensorType src = create_tensor<TensorType>(shape, data_type);
+        TensorType dst = create_tensor<TensorType>(shape, data_type);
+
+        // Create and configure function
+        FunctionType warp_perspective;
+        warp_perspective.configure(&src, &dst, matrix, policy, border_mode, constant_border_value);
+
+        ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Fill tensors
+        fill(AccessorType(src));
+
+        // Compute function
+        warp_perspective.run();
+
+        return dst;
+    }
+
+    SimpleTensor<T> compute_reference(const TensorShape &shape, const TensorShape &vmask_shape, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value,
+                                      DataType data_type)
+    {
+        ARM_COMPUTE_ERROR_ON(data_type != DataType::U8);
+
+        // Create reference
+        SimpleTensor<T> src{ shape, data_type };
+        SimpleTensor<T> valid_mask{ vmask_shape, data_type };
+
+        // Fill reference
+        fill(src, 0);
+        fill(valid_mask, 1);
+
+        // Compute reference
+        return reference::warp_perspective<T>(src, valid_mask, matrix, policy, border_mode, constant_border_value);
+    }
+
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+    BorderMode      _border_mode{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_WARP_PERSPECTIVE_FIXTURE */
diff --git a/tests/validation_old/CL/WarpPerspective.cpp b/tests/validation_old/CL/WarpPerspective.cpp
deleted file mode 100644
index 3d3da7a23e..0000000000
--- a/tests/validation_old/CL/WarpPerspective.cpp
+++ /dev/null
@@ -1,208 +0,0 @@
-/*
- * Copyright (c) 2017 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 "CL/CLAccessor.h"
-#include "PaddingCalculator.h"
-#include "Utils.h"
-#include "tests/AssetsLibrary.h"
-#include "tests/Globals.h"
-#include "tests/validation_old/Datasets.h"
-#include "tests/validation_old/Helpers.h"
-#include "tests/validation_old/Reference.h"
-#include "tests/validation_old/Validation.h"
-#include "tests/validation_old/ValidationUserConfiguration.h"
-#include "utils/TypePrinter.h"
-
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/runtime/CL/functions/CLWarpPerspective.h"
-#include "arm_compute/runtime/Tensor.h"
-#include "arm_compute/runtime/TensorAllocator.h"
-
-#include "tests/validation_old/boost_wrapper.h"
-
-#include <random>
-#include <string>
-
-using namespace arm_compute;
-using namespace arm_compute::test;
-using namespace arm_compute::test::validation;
-
-namespace
-{
-/** Compute Warp Perspective function.
- *
- * @param[in] input                 Shape of the input and output tensors.
- * @param[in] matrix                The perspective matrix. Must be 3x3 of type float.
- * @param[in] policy                The interpolation type.
- * @param[in] border_mode           Strategy to use for borders.
- * @param[in] constant_border_value Constant value to use for borders if border_mode is set to CONSTANT.
- *
- * @return Computed output tensor.
- */
-CLTensor compute_warp_perspective(const TensorShape &shape, const float *matrix, InterpolationPolicy policy,
-                                  BorderMode border_mode, uint8_t constant_border_value)
-{
-    // Create tensors
-    CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
-    CLTensor dst = create_tensor<CLTensor>(shape, DataType::U8);
-
-    // Create and configure function
-    CLWarpPerspective warp_perspective;
-    warp_perspective.configure(&src, &dst, matrix, policy, border_mode, constant_border_value);
-
-    // Allocate tensors
-    src.allocator()->allocate();
-    dst.allocator()->allocate();
-
-    BOOST_TEST(!src.info()->is_resizable());
-    BOOST_TEST(!dst.info()->is_resizable());
-
-    // Fill tensors
-    library->fill_tensor_uniform(CLAccessor(src), 0);
-
-    // Compute function
-    warp_perspective.run();
-
-    return dst;
-}
-} // namespace
-
-#ifndef DOXYGEN_SKIP_THIS
-BOOST_AUTO_TEST_SUITE(CL)
-BOOST_AUTO_TEST_SUITE(WarpPerspective)
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes())
-                     * boost::unit_test::data::make({ InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR }) * BorderModes(),
-                     shape, policy, border_mode)
-{
-    uint8_t constant_border_value = 0;
-
-    // Generate a random constant value if border_mode is constant
-    if(border_mode == BorderMode::CONSTANT)
-    {
-        std::mt19937                           gen(user_config.seed.get());
-        std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
-        constant_border_value = distribution_u8(gen);
-    }
-
-    std::array<float, 9> matrix;
-    fill_warp_matrix<9>(matrix, 3, 3);
-
-    // Create tensors
-    CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
-    CLTensor dst = create_tensor<CLTensor>(shape, DataType::U8);
-
-    BOOST_TEST(src.info()->is_resizable());
-    BOOST_TEST(dst.info()->is_resizable());
-
-    // Create and configure function
-    CLWarpPerspective warp_perspective;
-    warp_perspective.configure(&src, &dst, matrix.data(), policy, border_mode, constant_border_value);
-
-    // Validate valid region
-    const ValidRegion valid_region = shape_to_valid_region(shape);
-
-    validate(src.info()->valid_region(), valid_region);
-    validate(dst.info()->valid_region(), valid_region);
-
-    // Validate padding
-    PaddingCalculator calculator(shape.x(), 4);
-    calculator.set_border_mode(border_mode);
-
-    const PaddingSize read_padding(1);
-    const PaddingSize write_padding = calculator.required_padding(PaddingCalculator::Option::EXCLUDE_BORDER);
-
-    validate(src.info()->padding(), read_padding);
-    validate(dst.info()->padding(), write_padding);
-}
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall, SmallShapes()
-                     * boost::unit_test::data::make({ InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR })
-                     * BorderModes(),
-                     shape, policy, border_mode)
-{
-    uint8_t constant_border_value = 0;
-
-    // Generate a random constant value if border_mode is constant
-    if(border_mode == BorderMode::CONSTANT)
-    {
-        std::mt19937                           gen(user_config.seed.get());
-        std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
-        constant_border_value = distribution_u8(gen);
-    }
-
-    // Create the valid mask Tensor
-    RawTensor valid_mask(shape, DataType::U8);
-
-    // Create the matrix
-    std::array<float, 9> matrix;
-    fill_warp_matrix<9>(matrix, 3, 3);
-
-    // Compute function
-    CLTensor dst = compute_warp_perspective(shape, matrix.data(), policy, border_mode, constant_border_value);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_warp_perspective(shape, valid_mask, matrix.data(), policy, border_mode, constant_border_value);
-
-    // Validate output
-    validate(CLAccessor(dst), ref_dst, valid_mask, 1, 0.2f);
-}
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(RunLarge, LargeShapes()
-                     * boost::unit_test::data::make({ InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR }) * BorderModes(),
-                     shape, policy, border_mode)
-{
-    uint8_t constant_border_value = 0;
-
-    // Generate a random constant value if border_mode is constant
-    if(border_mode == BorderMode::CONSTANT)
-    {
-        std::mt19937                           gen(user_config.seed.get());
-        std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
-        constant_border_value = distribution_u8(gen);
-    }
-
-    // Create the valid mask Tensor
-    RawTensor valid_mask(shape, DataType::U8);
-
-    // Create the matrix
-    std::array<float, 9> matrix;
-    fill_warp_matrix<9>(matrix, 3, 3);
-
-    // Compute function
-    CLTensor dst = compute_warp_perspective(shape, matrix.data(), policy, border_mode, constant_border_value);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_warp_perspective(shape, valid_mask, matrix.data(), policy, border_mode, constant_border_value);
-
-    // Validate output
-    validate(CLAccessor(dst), ref_dst, valid_mask, 1, 0.2f);
-}
-
-BOOST_AUTO_TEST_SUITE_END()
-BOOST_AUTO_TEST_SUITE_END()
-#endif /* DOXYGEN_SKIP_THIS */
diff --git a/tests/validation_old/NEON/WarpPerspective.cpp b/tests/validation_old/NEON/WarpPerspective.cpp
deleted file mode 100644
index 97bda1eed8..0000000000
--- a/tests/validation_old/NEON/WarpPerspective.cpp
+++ /dev/null
@@ -1,209 +0,0 @@
-/*
- * Copyright (c) 2017 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 "NEON/Accessor.h"
-#include "PaddingCalculator.h"
-#include "Utils.h"
-#include "tests/AssetsLibrary.h"
-#include "tests/Globals.h"
-#include "tests/validation_old/Datasets.h"
-#include "tests/validation_old/Helpers.h"
-#include "tests/validation_old/Reference.h"
-#include "tests/validation_old/Validation.h"
-#include "tests/validation_old/ValidationUserConfiguration.h"
-#include "utils/TypePrinter.h"
-
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/runtime/NEON/functions/NEWarpPerspective.h"
-#include "arm_compute/runtime/Tensor.h"
-#include "arm_compute/runtime/TensorAllocator.h"
-
-#include "tests/validation_old/boost_wrapper.h"
-
-#include <random>
-#include <string>
-
-using namespace arm_compute;
-using namespace arm_compute::test;
-using namespace arm_compute::test::validation;
-
-namespace
-{
-/** Compute Warp Perspective function.
- *
-     * @param[in] input                 Shape of the input and output tensors.
-     * @param[in] matrix                The perspective matrix. Must be 3x3 of type float.
-     * @param[in] policy                The interpolation type.
-     * @param[in] border_mode           Strategy to use for borders.
-     * @param[in] constant_border_value Constant value to use for borders if border_mode is set to CONSTANT.
- *
- * @return Computed output tensor.
- */
-Tensor compute_warp_perspective(const TensorShape &shape, const float *matrix, InterpolationPolicy policy,
-                                BorderMode border_mode, uint8_t constant_border_value)
-{
-    // Create tensors
-    Tensor src = create_tensor<Tensor>(shape, DataType::U8);
-    Tensor dst = create_tensor<Tensor>(shape, DataType::U8);
-
-    // Create and configure function
-    NEWarpPerspective warp_perspective;
-    warp_perspective.configure(&src, &dst, matrix, policy, border_mode, constant_border_value);
-
-    // Allocate tensors
-    src.allocator()->allocate();
-    dst.allocator()->allocate();
-
-    BOOST_TEST(!src.info()->is_resizable());
-    BOOST_TEST(!dst.info()->is_resizable());
-
-    // Fill tensors
-    library->fill_tensor_uniform(Accessor(src), 0);
-
-    // Compute function
-    warp_perspective.run();
-
-    return dst;
-}
-} // namespace
-
-#ifndef DOXYGEN_SKIP_THIS
-BOOST_AUTO_TEST_SUITE(NEON)
-BOOST_AUTO_TEST_SUITE(WarpPerspective)
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes())
-                     * boost::unit_test::data::make({ InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR }) * BorderModes(),
-                     shape, policy, border_mode)
-{
-    uint8_t constant_border_value = 0;
-
-    // Generate a random constant value if border_mode is constant
-    if(border_mode == BorderMode::CONSTANT)
-    {
-        std::mt19937                           gen(user_config.seed.get());
-        std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
-        constant_border_value = distribution_u8(gen);
-    }
-
-    // Create the matrix
-    std::array<float, 9> matrix;
-    fill_warp_matrix<9>(matrix, 3, 3);
-
-    // Create tensors
-    Tensor src = create_tensor<Tensor>(shape, DataType::U8);
-    Tensor dst = create_tensor<Tensor>(shape, DataType::U8);
-
-    BOOST_TEST(src.info()->is_resizable());
-    BOOST_TEST(dst.info()->is_resizable());
-
-    // Create and configure function
-    NEWarpPerspective warp_perspective;
-    warp_perspective.configure(&src, &dst, matrix.data(), policy, border_mode, constant_border_value);
-
-    // Validate valid region
-    const ValidRegion valid_region = shape_to_valid_region(shape);
-
-    validate(src.info()->valid_region(), valid_region);
-    validate(dst.info()->valid_region(), valid_region);
-
-    // Validate padding
-    PaddingCalculator calculator(shape.x(), 1);
-    calculator.set_border_mode(border_mode);
-    calculator.set_border_size(1);
-
-    const PaddingSize read_padding(1);
-    const PaddingSize write_padding = calculator.required_padding();
-
-    validate(src.info()->padding(), read_padding);
-    validate(dst.info()->padding(), write_padding);
-}
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall, SmallShapes()
-                     * boost::unit_test::data::make({ InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR })
-                     * BorderModes(),
-                     shape, policy, border_mode)
-{
-    uint8_t constant_border_value = 0;
-
-    // Generate a random constant value if border_mode is constant
-    if(border_mode == BorderMode::CONSTANT)
-    {
-        std::mt19937                           gen(user_config.seed.get());
-        std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
-        constant_border_value = distribution_u8(gen);
-    }
-
-    // Create the valid mask Tensor
-    RawTensor valid_mask(shape, DataType::U8);
-
-    // Create the matrix
-    std::array<float, 9> matrix;
-    fill_warp_matrix<9>(matrix, 3, 3);
-
-    // Compute function
-    Tensor dst = compute_warp_perspective(shape, matrix.data(), policy, border_mode, constant_border_value);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_warp_perspective(shape, valid_mask, matrix.data(), policy, border_mode, constant_border_value);
-
-    // Validate output
-    validate(Accessor(dst), ref_dst, valid_mask, 1, 0.2f);
-}
-BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(RunLarge, LargeShapes()
-                     * boost::unit_test::data::make({ InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR }) * BorderModes(),
-                     shape, policy, border_mode)
-{
-    uint8_t constant_border_value = 0;
-
-    // Generate a random constant value if border_mode is constant
-    if(border_mode == BorderMode::CONSTANT)
-    {
-        std::mt19937                           gen(user_config.seed.get());
-        std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
-        constant_border_value = distribution_u8(gen);
-    }
-
-    // Create the valid mask Tensor
-    RawTensor valid_mask(shape, DataType::U8);
-
-    // Create the matrix
-    std::array<float, 9> matrix;
-    fill_warp_matrix<9>(matrix, 3, 3);
-
-    // Compute function
-    Tensor dst = compute_warp_perspective(shape, matrix.data(), policy, border_mode, constant_border_value);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_warp_perspective(shape, valid_mask, matrix.data(), policy, border_mode, constant_border_value);
-
-    // Validate output
-    validate(Accessor(dst), ref_dst, valid_mask, 1, 0.2f);
-}
-
-BOOST_AUTO_TEST_SUITE_END()
-BOOST_AUTO_TEST_SUITE_END()
-#endif /* DOXYGEN_SKIP_THIS */
diff --git a/tests/validation_old/Reference.cpp b/tests/validation_old/Reference.cpp
index 0331ccefca..a3beee5906 100644
--- a/tests/validation_old/Reference.cpp
+++ b/tests/validation_old/Reference.cpp
@@ -164,22 +164,6 @@ RawTensor Reference::compute_reference_fixed_point_pixel_wise_multiplication(con
     return ref_dst;
 }
 
-RawTensor Reference::compute_reference_warp_perspective(const TensorShape &shape, RawTensor &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode,
-                                                        uint8_t constant_border_value)
-{
-    // Create reference
-    RawTensor ref_src(shape, DataType::U8);
-    RawTensor ref_dst(shape, DataType::U8);
-
-    // Fill reference
-    library->fill_tensor_uniform(ref_src, 0);
-
-    // Compute reference
-    ReferenceCPP::warp_perspective(ref_src, ref_dst, valid_mask, matrix, policy, border_mode, constant_border_value);
-
-    return ref_dst;
-}
-
 RawTensor Reference::compute_reference_roi_pooling_layer(const TensorShape &shape, DataType dt, const std::vector<ROI> &rois, const ROIPoolingLayerInfo &pool_info)
 {
     TensorShape shape_dst;
diff --git a/tests/validation_old/Reference.h b/tests/validation_old/Reference.h
index 7b3de11e01..724f9505b8 100644
--- a/tests/validation_old/Reference.h
+++ b/tests/validation_old/Reference.h
@@ -118,19 +118,6 @@ public:
      */
     static RawTensor compute_reference_fixed_point_pixel_wise_multiplication(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, float scale, int fixed_point_position,
                                                                              ConvertPolicy convert_policy, RoundingPolicy rounding_policy);
-    /** Compute reference Warp Perspective.
-     *
-     * @param[in]  shape                 Shape of the input and output tensors.
-     * @param[out] valid_mask            Valid mask tensor.
-     * @param[in]  matrix                The perspective matrix. Must be 3x3 of type float.
-     * @param[in]  policy                The interpolation type.
-     * @param[in]  border_mode           Strategy to use for borders.
-     * @param[in]  constant_border_value Constant value to use for borders if border_mode is set to CONSTANT.
-     *
-     * @return Computed raw tensor.
-     */
-    static RawTensor compute_reference_warp_perspective(const TensorShape &shape, RawTensor &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode,
-                                                        uint8_t constant_border_value);
     /** Compute reference roi pooling layer.
      *
      * @param[in] shape     Shape of the input tensor.
diff --git a/tests/validation_old/ReferenceCPP.cpp b/tests/validation_old/ReferenceCPP.cpp
index 0ea3032d81..c48de36902 100644
--- a/tests/validation_old/ReferenceCPP.cpp
+++ b/tests/validation_old/ReferenceCPP.cpp
@@ -157,16 +157,6 @@ void ReferenceCPP::threshold(const RawTensor &src, RawTensor &dst, uint8_t thres
     tensor_operations::threshold(s, d, threshold, false_value, true_value, type, upper);
 }
 
-// Warp perspective
-void ReferenceCPP::warp_perspective(const RawTensor &src, RawTensor &dst, RawTensor &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value)
-{
-    ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst.data_type() != DataType::U8);
-    const Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data()));
-    Tensor<uint8_t>       d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<uint8_t *>(dst.data()));
-    Tensor<uint8_t>       vmask(valid_mask.shape(), valid_mask.data_type(), valid_mask.fixed_point_position(), reinterpret_cast<uint8_t *>(valid_mask.data()));
-    tensor_operations::warp_perspective(s, d, vmask, matrix, policy, border_mode, constant_border_value);
-}
-
 // ROI Pooling Layer
 void ReferenceCPP::roi_pooling_layer(const RawTensor &src, RawTensor &dst, const std::vector<ROI> &rois, const ROIPoolingLayerInfo &pool_info)
 {
diff --git a/tests/validation_old/ReferenceCPP.h b/tests/validation_old/ReferenceCPP.h
index 039d0b627e..1adf59dc9d 100644
--- a/tests/validation_old/ReferenceCPP.h
+++ b/tests/validation_old/ReferenceCPP.h
@@ -140,17 +140,6 @@ public:
      * @param[in]  upper       Upper threshold. Only used when the thresholding type is RANGE.
      */
     static void threshold(const RawTensor &src, RawTensor &dst, uint8_t threshold, uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper);
-    /** Warp perspective of@p src to @p dst
-     *
-     * @param[in]  src                   First tensor.
-     * @param[out] dst                   Result tensor.
-     * @param[out] valid_mask            Valid mask tensor.
-     * @param[in]  matrix                The perspective matrix. Must be 3x3 of type float.
-     * @param[in]  policy                The interpolation type.
-     * @param[in]  border_mode           Strategy to use for borders.
-     * @param[in]  constant_border_value Constant value to use for borders if border_mode is set to CONSTANT.
-     */
-    static void warp_perspective(const RawTensor &src, RawTensor &dst, RawTensor &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value);
     /** ROI Pooling layer of @p src based on the information from @p pool_info and @p rois.
      *
      * @param[in]  src       Input tensor.
diff --git a/tests/validation_old/TensorOperations.h b/tests/validation_old/TensorOperations.h
index bba09175ca..2b326930f6 100644
--- a/tests/validation_old/TensorOperations.h
+++ b/tests/validation_old/TensorOperations.h
@@ -118,46 +118,6 @@ void apply_2d_spatial_filter(Coordinates coord, const Tensor<T1> &in, Tensor<T3>
 }
 } // namespace
 
-template <typename T>
-T bilinear_policy(const Tensor<T> &in, Coordinates id, float xn, float yn, BorderMode border_mode, uint8_t constant_border_value)
-{
-    int idx = std::floor(xn);
-    int idy = std::floor(yn);
-
-    const float dx   = xn - idx;
-    const float dy   = yn - idy;
-    const float dx_1 = 1.0f - dx;
-    const float dy_1 = 1.0f - dy;
-
-    id.set(0, idx);
-    id.set(1, idy);
-    const T tl = tensor_elem_at(in, id, border_mode, constant_border_value);
-    id.set(0, idx + 1);
-    id.set(1, idy);
-    const T tr = tensor_elem_at(in, id, border_mode, constant_border_value);
-    id.set(0, idx);
-    id.set(1, idy + 1);
-    const T bl = tensor_elem_at(in, id, border_mode, constant_border_value);
-    id.set(0, idx + 1);
-    id.set(1, idy + 1);
-    const T br = tensor_elem_at(in, id, border_mode, constant_border_value);
-
-    return tl * (dx_1 * dy_1) + tr * (dx * dy_1) + bl * (dx_1 * dy) + br * (dx * dy);
-}
-
-bool valid_bilinear_policy(float xn, float yn, int width, int height, BorderMode border_mode)
-{
-    if(border_mode != BorderMode::UNDEFINED)
-    {
-        return true;
-    }
-    if((0 <= yn + 1) && (yn + 1 < height) && (0 <= xn + 1) && (xn + 1 < width))
-    {
-        return true;
-    }
-    return false;
-}
-
 // Sobel 3x3
 template <typename T1, typename T2>
 void sobel_3x3(Tensor<T1> &in, Tensor<T2> &out_x, Tensor<T2> &out_y, BorderMode border_mode, uint8_t constant_border_value)
@@ -677,92 +637,6 @@ void threshold(const Tensor<T> &in, Tensor<T> &out, uint8_t threshold, uint8_t f
     }
 }
 
-// Warp Perspective
-template <typename T>
-void warp_perspective(const Tensor<T> &in, Tensor<T> &out, Tensor<T> &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value)
-{
-    // x0 = M00 * x + M01 * y + M02
-    // y0 = M10 * x + M11 * y + M12
-    // z0 = M20 * x + M21 * y + M22
-    // xn = x0 / z0
-    // yn = y0 / z0
-    const float M00 = matrix[0];
-    const float M10 = matrix[1];
-    const float M20 = matrix[2];
-    const float M01 = matrix[0 + 1 * 3];
-    const float M11 = matrix[1 + 1 * 3];
-    const float M21 = matrix[2 + 1 * 3];
-    const float M02 = matrix[0 + 2 * 3];
-    const float M12 = matrix[1 + 2 * 3];
-    const float M22 = matrix[2 + 2 * 3];
-
-    const int width  = in.shape().x();
-    const int height = in.shape().y();
-
-    for(int element_idx = 0; element_idx < in.num_elements(); ++element_idx)
-    {
-        valid_mask[element_idx] = 1;
-        Coordinates id          = index2coord(in.shape(), element_idx);
-        int         idx         = id.x();
-        int         idy         = id.y();
-        const float z0          = M20 * idx + M21 * idy + M22;
-
-        float x0 = (M00 * idx + M01 * idy + M02);
-        float y0 = (M10 * idx + M11 * idy + M12);
-
-        float xn = x0 / z0;
-        float yn = y0 / z0;
-        id.set(0, static_cast<int>(std::floor(xn)));
-        id.set(1, static_cast<int>(std::floor(yn)));
-        if((0 <= yn) && (yn < height) && (0 <= xn) && (xn < width))
-        {
-            switch(policy)
-            {
-                case InterpolationPolicy::NEAREST_NEIGHBOR:
-                    out[element_idx] = tensor_elem_at(in, id, border_mode, constant_border_value);
-                    break;
-                case InterpolationPolicy::BILINEAR:
-                    (valid_bilinear_policy(xn, yn, width, height, border_mode)) ? out[element_idx] = bilinear_policy(in, id, xn, yn, border_mode, constant_border_value) : valid_mask[element_idx] = 0;
-                    break;
-                case InterpolationPolicy::AREA:
-                default:
-                    ARM_COMPUTE_ERROR("Interpolation not supported");
-            }
-        }
-        else
-        {
-            if(border_mode == BorderMode::UNDEFINED)
-            {
-                valid_mask[element_idx] = 0;
-            }
-            else
-            {
-                switch(policy)
-                {
-                    case InterpolationPolicy::NEAREST_NEIGHBOR:
-                        if(border_mode == BorderMode::CONSTANT)
-                        {
-                            out[element_idx] = constant_border_value;
-                        }
-                        else if(border_mode == BorderMode::REPLICATE)
-                        {
-                            id.set(0, std::max(0, std::min(static_cast<int>(xn), width - 1)));
-                            id.set(1, std::max(0, std::min(static_cast<int>(yn), height - 1)));
-                            out[element_idx] = in[coord2index(in.shape(), id)];
-                        }
-                        break;
-                    case InterpolationPolicy::BILINEAR:
-                        out[element_idx] = bilinear_policy(in, id, xn, yn, border_mode, constant_border_value);
-                        break;
-                    case InterpolationPolicy::AREA:
-                    default:
-                        ARM_COMPUTE_ERROR("Interpolation not supported");
-                }
-            }
-        }
-    }
-}
-
 // ROI Pooling layer
 template <typename T>
 void roi_pooling_layer(const Tensor<T> &in, Tensor<T> &out, const std::vector<ROI> &rois, const ROIPoolingLayerInfo &pool_info)