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+/*
+ * 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 "TypePrinter.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 "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 */
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