COMPMID-589: Port HOGDescriptor to new validation

Change-Id: I2021612e61de1b82aaeb49249d06929c7fceb15f
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/115216
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>

1 files changed, 142 insertions, 0 deletions

diff --git a/tests/validation/fixtures/HOGDescriptorFixture.h b/tests/validation/fixtures/HOGDescriptorFixture.h
new file mode 100644
index 0000000000..cabee63ae3
--- /dev/null
+++ b/tests/validation/fixtures/HOGDescriptorFixture.h
@@ -0,0 +1,142 @@
+/*
+ * Copyright (c) 2017, 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_HOG_DESCRIPTOR_FIXTURE
+#define ARM_COMPUTE_TEST_HOG_DESCRIPTOR_FIXTURE
+
+#include "arm_compute/core/HOGInfo.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/HOGDescriptor.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename HOGType, typename AccessorType, typename FunctionType, typename T, typename U>
+class HOGDescriptorValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(std::string image, HOGInfo hog_info, Format format, BorderMode border_mode)
+    {
+        // Only defined borders supported
+        ARM_COMPUTE_ERROR_ON(border_mode == BorderMode::UNDEFINED);
+
+        // Generate a random constant value
+        std::mt19937                     gen(library->seed());
+        std::uniform_int_distribution<T> int_dist(0, 255);
+        const T                          constant_border_value = int_dist(gen);
+
+        _target    = compute_target(image, format, border_mode, constant_border_value, hog_info);
+        _reference = compute_reference(image, format, border_mode, constant_border_value, hog_info);
+    }
+
+protected:
+    template <typename V>
+    void fill(V &&tensor, const std::string image, Format format)
+    {
+        library->fill(tensor, image, format);
+    }
+
+    template <typename V, typename D>
+    void fill(V &&tensor, int i, D max)
+    {
+        library->fill_tensor_uniform(tensor, i, static_cast<D>(0), max);
+    }
+
+    TensorType compute_target(const std::string image, Format &format, BorderMode &border_mode, T constant_border_value, const HOGInfo &hog_info)
+    {
+        // Get image shape for src tensor
+        TensorShape shape = library->get_image_shape(image);
+
+        // Create tensor info for HOG descriptor
+        TensorInfo tensor_info_hog_descriptor(hog_info, shape.x(), shape.y());
+
+        // Create HOG
+        HOGType hog = create_HOG<HOGType>(hog_info.cell_size(),
+                                          hog_info.block_size(),
+                                          hog_info.detection_window_size(),
+                                          hog_info.block_stride(),
+                                          hog_info.num_bins(),
+                                          hog_info.normalization_type(),
+                                          hog_info.l2_hyst_threshold(),
+                                          hog_info.phase_type());
+
+        // Create tensors
+        TensorType src = create_tensor<TensorType>(shape, data_type_from_format(format));
+        TensorType dst = create_tensor<TensorType>(tensor_info_hog_descriptor.tensor_shape(), DataType::F32, tensor_info_hog_descriptor.num_channels());
+
+        ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Create and configure function
+        FunctionType hog_descriptor;
+        hog_descriptor.configure(&src, &dst, &hog, 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);
+
+        const T max = std::numeric_limits<T>::max();
+
+        // Fill tensors
+        fill(AccessorType(src), image, format);
+        fill(AccessorType(dst), 1, static_cast<U>(max));
+
+        // Compute function
+        hog_descriptor.run();
+
+        return dst;
+    }
+
+    SimpleTensor<U> compute_reference(const std::string image, Format format, BorderMode border_mode, T constant_border_value, const HOGInfo &hog_info)
+    {
+        // Create reference
+        SimpleTensor<T> src{ library->get_image_shape(image), data_type_from_format(format) };
+
+        // Fill reference
+        fill(src, image, format);
+
+        return reference::hog_descriptor<U>(src, border_mode, constant_border_value, hog_info);
+    }
+
+    TensorType      _target{};
+    SimpleTensor<U> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_HOG_DESCRIPTOR_FIXTURE */