COMPMID-586: Port LaplacianPyramid to new validation

Change-Id: Ic746d5f297eb354e63cefa8c682b03fc339be81d
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/128409
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: John Richardson <john.richardson@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 154 insertions, 0 deletions

diff --git a/tests/validation/fixtures/LaplacianPyramidFixture.h b/tests/validation/fixtures/LaplacianPyramidFixture.h
new file mode 100644
index 0000000000..6344272640
--- /dev/null
+++ b/tests/validation/fixtures/LaplacianPyramidFixture.h
@@ -0,0 +1,154 @@
+/*
+ * Copyright (c) 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_LAPLACIAN_PYRAMID_FIXTURE
+#define ARM_COMPUTE_TEST_LAPLACIAN_PYRAMID_FIXTURE
+
+#include "arm_compute/core/IPyramid.h"
+#include "arm_compute/core/PyramidInfo.h"
+#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/reference/LaplacianPyramid.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T, typename U, typename PyramidType>
+class LaplacianPyramidValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape input_shape, BorderMode border_mode, size_t num_levels, Format format_in, Format format_out)
+    {
+        std::mt19937                     generator(library->seed());
+        std::uniform_int_distribution<T> distribution_u8(0, 255);
+        const T                          constant_border_value = distribution_u8(generator);
+
+        _pyramid_levels = num_levels;
+        _border_mode    = border_mode;
+
+        _target    = compute_target(input_shape, border_mode, constant_border_value, format_in, format_out);
+        _reference = compute_reference(input_shape, border_mode, constant_border_value, format_in, format_out);
+    }
+
+protected:
+    template <typename V>
+    void fill(V &&tensor)
+    {
+        library->fill_tensor_uniform(tensor, 0);
+    }
+
+    PyramidType compute_target(const TensorShape &input_shape, BorderMode border_mode, T constant_border_value,
+                               Format format_in, Format format_out)
+    {
+        // Create pyramid
+        PyramidType pyramid{};
+
+        // Create Pyramid Info
+        PyramidInfo pyramid_info(_pyramid_levels, SCALE_PYRAMID_HALF, input_shape, format_out);
+
+        // Use conservative padding strategy to fit all subsequent kernels
+        pyramid.init_auto_padding(pyramid_info);
+
+        // Create tensors
+        TensorType src = create_tensor<TensorType>(input_shape, format_in);
+
+        // The first two dimensions of the output tensor must match the first
+        // two dimensions of the tensor in the last level of the pyramid
+        TensorShape dst_shape(input_shape);
+        dst_shape.set(0, pyramid.get_pyramid_level(_pyramid_levels - 1)->info()->dimension(0));
+        dst_shape.set(1, pyramid.get_pyramid_level(_pyramid_levels - 1)->info()->dimension(1));
+
+        // The lowest resolution tensor necessary to reconstruct the input
+        // tensor from the pyramid.
+        _dst_target = create_tensor<TensorType>(dst_shape, format_out);
+
+        // Create and configure function
+        FunctionType laplacian_pyramid;
+        laplacian_pyramid.configure(&src, &pyramid, &_dst_target, border_mode, constant_border_value);
+
+        ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(_dst_target.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        _dst_target.allocator()->allocate();
+
+        ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!_dst_target.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        pyramid.allocate();
+
+        for(size_t i = 0; i < pyramid_info.num_levels(); ++i)
+        {
+            ARM_COMPUTE_EXPECT(!pyramid.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS);
+        }
+
+        // Fill tensors
+        fill(AccessorType(src));
+
+        // Compute function
+        laplacian_pyramid.run();
+
+        return pyramid;
+    }
+
+    std::vector<SimpleTensor<U>> compute_reference(const TensorShape &shape, BorderMode border_mode, T constant_border_value,
+                                                   Format format_in, Format format_out)
+    {
+        // Create reference
+        SimpleTensor<T> src{ shape, format_in };
+
+        // The first two dimensions of the output tensor must match the first
+        // two dimensions of the tensor in the last level of the pyramid
+        TensorShape dst_shape(shape);
+        dst_shape.set(0, static_cast<float>(shape[0] + 1) / static_cast<float>(std::pow(2, _pyramid_levels - 1)));
+        dst_shape.set(1, static_cast<float>(shape[1] + 1) / static_cast<float>(std::pow(2, _pyramid_levels - 1)));
+
+        _dst_reference = SimpleTensor<U>(dst_shape, format_out);
+
+        // Fill reference
+        fill(src);
+
+        return reference::laplacian_pyramid<T, U>(src, _dst_reference, _pyramid_levels, border_mode, constant_border_value);
+    }
+
+    size_t                       _pyramid_levels{};
+    BorderMode                   _border_mode{};
+    SimpleTensor<U>              _dst_reference{};
+    TensorType                   _dst_target{};
+    PyramidType                  _target{};
+    std::vector<SimpleTensor<U>> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_LAPLACIAN_PYRAMID_FIXTURE */