COMPMID-1539 Implement YOLOLayer on CL

Change-Id: I332c0703e1399fca0c5b724529b54a28f49c88da
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/146842
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

1 files changed, 162 insertions, 0 deletions

diff --git a/tests/validation/fixtures/YOLOLayerFixture.h b/tests/validation/fixtures/YOLOLayerFixture.h
new file mode 100644
index 0000000000..a3842e1e8a
--- /dev/null
+++ b/tests/validation/fixtures/YOLOLayerFixture.h
@@ -0,0 +1,162 @@
+/*
+ * 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_YOLO_LAYER_FIXTURE
+#define ARM_COMPUTE_TEST_YOLO_LAYER_FIXTURE
+
+#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/Helpers.h"
+#include "tests/validation/reference/YOLOLayer.h"
+
+#include <random>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class YOLOValidationGenericFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, bool in_place, ActivationLayerInfo::ActivationFunction function, float alpha_beta, int32_t num_classes, DataLayout data_layout, DataType data_type,
+               QuantizationInfo quantization_info)
+    {
+        _data_type = data_type;
+        _function  = function;
+
+        ActivationLayerInfo info(function, alpha_beta, alpha_beta);
+
+        _target    = compute_target(shape, in_place, info, num_classes, data_layout, data_type, quantization_info);
+        _reference = compute_reference(shape, info, num_classes, data_type, quantization_info);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor)
+    {
+        float min_bound = 0;
+        float max_bound = 0;
+        std::tie(min_bound, max_bound) = get_activation_layer_test_bounds<T>(_function, _data_type);
+        std::uniform_real_distribution<> distribution(min_bound, max_bound);
+        library->fill(tensor, distribution, 0);
+    }
+
+    TensorType compute_target(TensorShape shape, bool in_place, const ActivationLayerInfo &info, int32_t num_classes, DataLayout data_layout, DataType data_type, QuantizationInfo quantization_info)
+    {
+        if(data_layout == DataLayout::NHWC)
+        {
+            permute(shape, PermutationVector(2U, 0U, 1U));
+        }
+
+        // Create tensors
+        TensorType src = create_tensor<TensorType>(shape, data_type, 1, quantization_info, data_layout);
+        TensorType dst = create_tensor<TensorType>(shape, data_type, 1, quantization_info, data_layout);
+
+        // Create and configure function
+        FunctionType yolo_layer;
+
+        TensorType *dst_ptr = in_place ? &src : &dst;
+
+        yolo_layer.configure(&src, dst_ptr, info, num_classes);
+
+        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();
+        ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        if(!in_place)
+        {
+            dst.allocator()->allocate();
+            ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+        }
+
+        // Fill tensors
+        fill(AccessorType(src));
+
+        // Compute function
+        yolo_layer.run();
+
+        if(in_place)
+        {
+            return src;
+        }
+        else
+        {
+            return dst;
+        }
+    }
+
+    SimpleTensor<T> compute_reference(const TensorShape &shape, const ActivationLayerInfo &info, int32_t num_classes, DataType data_type, QuantizationInfo quantization_info)
+    {
+        // Create reference
+        SimpleTensor<T> src{ shape, data_type, 1, quantization_info };
+
+        // Fill reference
+        fill(src);
+
+        return reference::yolo_layer<T>(src, info, num_classes);
+    }
+
+    TensorType                              _target{};
+    SimpleTensor<T>                         _reference{};
+    DataType                                _data_type{};
+    ActivationLayerInfo::ActivationFunction _function{};
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class YOLOValidationFixture : public YOLOValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, bool in_place, ActivationLayerInfo::ActivationFunction function, float alpha_beta, int32_t num_classes, DataLayout data_layout, DataType data_type)
+    {
+        YOLOValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, in_place, function, alpha_beta, num_classes, data_layout, data_type, QuantizationInfo());
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class YOLOValidationQuantizedFixture : public YOLOValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, bool in_place, ActivationLayerInfo::ActivationFunction function, float alpha_beta, int32_t num_classes, DataLayout data_layout, DataType data_type,
+               QuantizationInfo quantization_info)
+    {
+        YOLOValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, in_place, function, alpha_beta, num_classes, data_layout, data_type, quantization_info);
+    }
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif // ARM_COMPUTE_TEST_YOLO_LAYER_FIXTURE