COMPMID-378 - Implemented reference implementation and tests (NEON and CL) for Non Linear Filter

Change-Id: I1b81e030a27cf01d098247a87d047099616e2a39
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/78531
Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>

1 files changed, 217 insertions, 0 deletions

diff --git a/tests/validation/CL/NonLinearFilter.cpp b/tests/validation/CL/NonLinearFilter.cpp
new file mode 100644
index 0000000000..5288f951bf
--- /dev/null
+++ b/tests/validation/CL/NonLinearFilter.cpp
@@ -0,0 +1,217 @@
+/*
+ * 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 "CL/Helper.h"
+#include "Globals.h"
+#include "PaddingCalculator.h"
+#include "TensorLibrary.h"
+#include "TypePrinter.h"
+#include "Utils.h"
+#include "validation/Datasets.h"
+#include "validation/Helpers.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/CL/functions/CLNonLinearFilter.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+
+#include "boost_wrapper.h"
+
+#include <random>
+#include <string>
+
+using namespace arm_compute;
+using namespace arm_compute::test;
+using namespace arm_compute::test::cl;
+using namespace arm_compute::test::validation;
+
+namespace
+{
+/** Compute NonLinearFilter function.
+ *
+     * @param[in] input                 Shape of the input and output tensors.
+     * @param[in] function              Non linear function to perform
+     * @param[in] mask_size             Mask size. Supported sizes: 3, 5
+     * @param[in] pattern               Mask pattern
+     * @param[in] mask                  The given mask. Will be used only if pattern is specified to PATTERN_OTHER
+     * @param[in] border_mode           Strategy to use for borders.
+     * @param[in] constant_border_value (Optional) Constant value to use for borders if border_mode is set to CONSTANT.
+ *
+ * @return Computed output CL tensor.
+ */
+CLTensor compute_non_linear_filter(const TensorShape &shape, NonLinearFilterFunction function, unsigned int mask_size,
+                                   MatrixPattern pattern, const uint8_t *mask, BorderMode border_mode,
+                                   uint8_t constant_border_value)
+{
+    // Create tensors
+    CLTensor src = create_tensor(shape, DataType::U8);
+    CLTensor dst = create_tensor(shape, DataType::U8);
+
+    // Create and configure function
+    CLNonLinearFilter filter;
+    filter.configure(&src, &dst, function, mask_size, pattern, mask, 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
+    filter.run();
+
+    return dst;
+}
+} // namespace
+
+#ifndef DOXYGEN_SKIP_THIS
+BOOST_AUTO_TEST_SUITE(CL)
+BOOST_AUTO_TEST_SUITE(NonLinearFilter)
+
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
+BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes())
+                     * NonLinearFilterFunctions() * boost::unit_test::data::make({ 3U, 5U })
+                     * boost::unit_test::data::make({ MatrixPattern::BOX, MatrixPattern::CROSS, MatrixPattern::DISK }) * BorderModes(),
+                     shape, function, mask_size, pattern, border_mode)
+{
+    std::mt19937                           generator(user_config.seed.get());
+    std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
+    const uint8_t                          constant_border_value = distribution_u8(generator);
+
+    // Create the mask
+    uint8_t mask[mask_size * mask_size];
+    fill_mask_from_pattern(mask, mask_size, mask_size, pattern);
+    const auto half_mask_size = static_cast<int>(mask_size / 2);
+
+    // Create tensors
+    CLTensor src = create_tensor(shape, DataType::U8);
+    CLTensor dst = create_tensor(shape, DataType::U8);
+
+    BOOST_TEST(src.info()->is_resizable());
+    BOOST_TEST(dst.info()->is_resizable());
+
+    // Create and configure function
+    CLNonLinearFilter filter;
+    filter.configure(&src, &dst, function, mask_size, pattern, mask, border_mode, constant_border_value);
+
+    // Validate valid region
+    const ValidRegion src_valid_region = shape_to_valid_region(shape);
+    ValidRegion       dst_valid_region = shape_to_valid_region(shape);
+    if(border_mode == BorderMode::UNDEFINED)
+    {
+        dst_valid_region = shape_to_valid_region_undefined_border(shape, BorderSize(half_mask_size));
+    }
+
+    validate(src.info()->valid_region(), src_valid_region);
+    validate(dst.info()->valid_region(), dst_valid_region);
+
+    // Validate padding
+    PaddingCalculator calculator(shape.x(), ((MatrixPattern::OTHER == pattern) ? 1 : 8));
+    calculator.set_border_mode(border_mode);
+    calculator.set_border_size(half_mask_size);
+
+    const PaddingSize write_padding = calculator.required_padding(PaddingCalculator::Option::EXCLUDE_BORDER);
+
+    calculator.set_accessed_elements(16);
+    calculator.set_access_offset(-half_mask_size);
+
+    const PaddingSize read_padding = calculator.required_padding(PaddingCalculator::Option::INCLUDE_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()
+                     * NonLinearFilterFunctions() * boost::unit_test::data::make({ 3U, 5U })
+                     * boost::unit_test::data::make({ MatrixPattern::BOX, MatrixPattern::CROSS, MatrixPattern::DISK }) * BorderModes(),
+                     shape, function, mask_size, pattern, border_mode)
+{
+    std::mt19937                           generator(user_config.seed.get());
+    std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
+    const uint8_t                          constant_border_value = distribution_u8(generator);
+
+    // Create the mask
+    uint8_t mask[mask_size * mask_size];
+    fill_mask_from_pattern(mask, mask_size, mask_size, pattern);
+
+    // Compute function
+    CLTensor dst = compute_non_linear_filter(shape, function, mask_size, pattern, mask, border_mode, constant_border_value);
+
+    // Compute reference
+    RawTensor ref_dst = Reference::compute_reference_non_linear_filter(shape, function, mask_size, pattern, mask, border_mode, constant_border_value);
+
+    // Calculate valid region
+    ValidRegion valid_region = shape_to_valid_region(shape);
+    if(border_mode == BorderMode::UNDEFINED)
+    {
+        valid_region = shape_to_valid_region_undefined_border(shape, BorderSize(static_cast<int>(mask_size / 2)));
+    }
+
+    // Validate output
+    validate(CLAccessor(dst), ref_dst, valid_region);
+}
+
+BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
+BOOST_DATA_TEST_CASE(RunLarge, LargeShapes()
+                     * NonLinearFilterFunctions() * boost::unit_test::data::make({ 3U, 5U })
+                     * boost::unit_test::data::make({ MatrixPattern::BOX, MatrixPattern::CROSS, MatrixPattern::DISK }) * BorderModes(),
+                     shape, function, mask_size, pattern, border_mode)
+{
+    std::mt19937                           generator(user_config.seed.get());
+    std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
+    const uint8_t                          constant_border_value = distribution_u8(generator);
+
+    // Create the mask
+    uint8_t mask[mask_size * mask_size];
+    fill_mask_from_pattern(mask, mask_size, mask_size, pattern);
+
+    // Compute function
+    CLTensor dst = compute_non_linear_filter(shape, function, mask_size, pattern, mask, border_mode, constant_border_value);
+
+    // Compute reference
+    RawTensor ref_dst = Reference::compute_reference_non_linear_filter(shape, function, mask_size, pattern, mask, border_mode, constant_border_value);
+
+    // Calculate valid region
+    ValidRegion valid_region = shape_to_valid_region(shape);
+    if(border_mode == BorderMode::UNDEFINED)
+    {
+        valid_region = shape_to_valid_region_undefined_border(shape, BorderSize(static_cast<int>(mask_size / 2)));
+    }
+
+    // Validate output
+    validate(CLAccessor(dst), ref_dst, valid_region);
+}
+
+BOOST_AUTO_TEST_SUITE_END()
+BOOST_AUTO_TEST_SUITE_END()
+#endif