COMPMID-415: Rename and move tests

The boost validation is now "standalone" in validation_old and builds as
arm_compute_validation_old. The new validation builds now as
arm_compute_validation.

Change-Id: Ib93ba848a25680ac60afb92b461d574a0757150d
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/86187
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 0 insertions, 229 deletions

diff --git a/tests/validation/NEON/HarrisCorners.cpp b/tests/validation/NEON/HarrisCorners.cpp
deleted file mode 100644
index 6793e21c34..0000000000
--- a/tests/validation/NEON/HarrisCorners.cpp
+++ /dev/null
@@ -1,229 +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 "AssetsLibrary.h"
-#include "Globals.h"
-#include "NEON/Accessor.h"
-#include "NEON/Helper.h"
-#include "TypePrinter.h"
-#include "Utils.h"
-#include "validation/Datasets.h"
-#include "validation/Reference.h"
-#include "validation/Validation.h"
-#include "validation/ValidationUserConfiguration.h"
-
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/runtime/NEON/functions/NEHarrisCorners.h"
-#include "arm_compute/runtime/Tensor.h"
-#include "arm_compute/runtime/TensorAllocator.h"
-
-#include "PaddingCalculator.h"
-#include "boost_wrapper.h"
-
-#include <random>
-#include <string>
-
-using namespace arm_compute;
-using namespace arm_compute::test;
-using namespace arm_compute::test::validation;
-
-namespace
-{
-/** Compute Neon Harris corners function.
- *
- * @param[in] shape                 Shape of input tensor
- * @param[in] threshold             Minimum threshold with which to eliminate Harris Corner scores (computed using the normalized Sobel kernel).
- * @param[in] min_dist              Radial Euclidean distance for the euclidean distance stage
- * @param[in] sensitivity           Sensitivity threshold k from the Harris-Stephens equation
- * @param[in] gradient_size         The gradient window size to use on the input. The implementation supports 3, 5, and 7
- * @param[in] block_size            The block window size used to compute the Harris Corner score. The implementation supports 3, 5, and 7.
- * @param[in] border_mode           Border mode to use
- * @param[in] constant_border_value Constant value to use for borders if border_mode is set to CONSTANT.
- * @param[in] use_fp16              If true the FP16 kernels will be used. If false F32 kernels are used.
- *
- * @return Computed corners' keypoints.
- */
-KeyPointArray compute_harris_corners(const TensorShape &shape, float threshold, float min_dist, float sensitivity,
-                                     int32_t gradient_size, int32_t block_size, BorderMode border_mode, uint8_t constant_border_value, bool use_fp16)
-{
-    // Create tensors
-    Tensor src = create_tensor<Tensor>(shape, DataType::U8);
-    src.info()->set_format(Format::U8);
-
-    // Create array of keypoints
-    KeyPointArray corners(shape.total_size());
-
-    // Create harris corners configure function
-    NEHarrisCorners harris_corners;
-    harris_corners.configure(&src, threshold, min_dist, sensitivity, gradient_size, block_size, &corners, border_mode, constant_border_value, use_fp16);
-
-    // Allocate tensors
-    src.allocator()->allocate();
-
-    BOOST_TEST(!src.info()->is_resizable());
-
-    // Fill tensors
-    library->fill_tensor_uniform(Accessor(src), 0);
-
-    // Compute function
-    harris_corners.run();
-
-    return corners;
-}
-} // namespace
-
-#ifndef DOXYGEN_SKIP_THIS
-BOOST_AUTO_TEST_SUITE(NEON)
-BOOST_AUTO_TEST_SUITE(HarrisCorners)
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(Configuration, (Small2DShapes() + Large2DShapes()) * BorderModes()
-                     * boost::unit_test::data::make({ 3, 5, 7 }) * boost::unit_test::data::make({ 3, 5, 7 }),
-                     shape, border_mode, gradient, block)
-{
-    // Create tensors
-    Tensor src = create_tensor<Tensor>(shape, DataType::U8);
-    src.info()->set_format(Format::U8);
-
-    KeyPointArray corners;
-
-    uint8_t constant_border_value = 0;
-
-    std::mt19937                          gen(user_config.seed.get());
-    std::uniform_real_distribution<float> real_dist(0.01, std::numeric_limits<float>::min());
-
-    const float threshold              = real_dist(gen);
-    const float sensitivity            = real_dist(gen);
-    const float max_euclidean_distance = 30.f;
-
-    real_dist            = std::uniform_real_distribution<float>(0.f, max_euclidean_distance);
-    const float min_dist = real_dist(gen);
-
-    // 50% chance to use fp16
-    bool use_fp16 = real_dist(gen) < max_euclidean_distance / 2 ? true : false;
-
-    // Generate a random constant value if border_mode is constant
-    if(border_mode == BorderMode::CONSTANT)
-    {
-        std::uniform_int_distribution<uint8_t> int_dist(0, 255);
-        constant_border_value = int_dist(gen);
-    }
-
-    BOOST_TEST(src.info()->is_resizable());
-
-    // Create harris corners configure function
-    NEHarrisCorners harris_corners;
-    harris_corners.configure(&src, threshold, min_dist, sensitivity, gradient, block, &corners, border_mode, constant_border_value, use_fp16);
-
-    // Validate valid region
-    const ValidRegion valid_region = shape_to_valid_region(shape);
-
-    validate(src.info()->valid_region(), valid_region);
-
-    // Validate padding
-    PaddingCalculator calculator(shape.x(), 8);
-
-    calculator.set_border_mode(border_mode);
-    calculator.set_border_size(gradient / 2);
-    calculator.set_access_offset(-gradient / 2);
-    calculator.set_accessed_elements(16);
-
-    const PaddingSize padding = calculator.required_padding();
-
-    validate(src.info()->padding(), padding);
-}
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall, Small2DShapes() * BorderModes() * boost::unit_test::data::make({ 3, 5, 7 }) * boost::unit_test::data::make({ 3, 5, 7 }), shape, border_mode, gradient, block)
-{
-    uint8_t constant_border_value = 0;
-
-    std::mt19937                          gen(user_config.seed.get());
-    std::uniform_real_distribution<float> real_dist(0.01, std::numeric_limits<float>::min());
-
-    const float threshold              = real_dist(gen);
-    const float sensitivity            = real_dist(gen);
-    const float max_euclidean_distance = 30.f;
-
-    real_dist            = std::uniform_real_distribution<float>(0.f, max_euclidean_distance);
-    const float min_dist = real_dist(gen);
-
-    // 50% chance to use fp16
-    bool use_fp16 = real_dist(gen) < max_euclidean_distance / 2 ? true : false;
-
-    // Generate a random constant value if border_mode is constant
-    if(border_mode == BorderMode::CONSTANT)
-    {
-        std::uniform_int_distribution<uint8_t> int_dist(0, 255);
-        constant_border_value = int_dist(gen);
-    }
-
-    // Compute function
-    KeyPointArray dst = compute_harris_corners(shape, threshold, min_dist, sensitivity, gradient, block, border_mode, constant_border_value, use_fp16);
-
-    // Compute reference
-    KeyPointArray ref_dst = Reference::compute_reference_harris_corners(shape, threshold, min_dist, sensitivity, gradient, block, border_mode, constant_border_value);
-
-    // Validate output
-    validate(dst, ref_dst);
-}
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(RunLarge, Large2DShapes() * BorderModes() * boost::unit_test::data::make({ 3, 5, 7 }) * boost::unit_test::data::make({ 3, 5, 7 }), shape, border_mode, gradient, block)
-{
-    uint8_t constant_border_value = 0;
-
-    std::mt19937                          gen(user_config.seed.get());
-    std::uniform_real_distribution<float> real_dist(0.01, std::numeric_limits<float>::min());
-
-    const float threshold              = real_dist(gen);
-    const float sensitivity            = real_dist(gen);
-    const float max_euclidean_distance = 30.f;
-
-    real_dist      = std::uniform_real_distribution<float>(0.f, max_euclidean_distance);
-    float min_dist = real_dist(gen);
-
-    // 50% chance to use fp16
-    bool use_fp16 = real_dist(gen) < max_euclidean_distance / 2 ? true : false;
-
-    // Generate a random constant value if border_mode is constant
-    if(border_mode == BorderMode::CONSTANT)
-    {
-        std::uniform_int_distribution<uint8_t> int_dist(0, 255);
-        constant_border_value = int_dist(gen);
-    }
-
-    // Compute function
-    KeyPointArray dst = compute_harris_corners(shape, threshold, min_dist, sensitivity, gradient, block, border_mode, constant_border_value, use_fp16);
-
-    // Compute reference
-    KeyPointArray ref_dst = Reference::compute_reference_harris_corners(shape, threshold, min_dist, sensitivity, gradient, block, border_mode, constant_border_value);
-
-    // Validate output
-    validate(dst, ref_dst);
-}
-
-BOOST_AUTO_TEST_SUITE_END()
-BOOST_AUTO_TEST_SUITE_END()
-#endif /* DOXYGEN_SKIP_THIS */