diff options
Diffstat (limited to 'tests/validation/fixtures/YOLOLayerFixture.h')
-rw-r--r-- | tests/validation/fixtures/YOLOLayerFixture.h | 162 |
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 |