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diff --git a/tests/validation/fixtures/YOLOLayerFixture.h b/tests/validation/fixtures/YOLOLayerFixture.h
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-/*
- * 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