/* * 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_HOG_DESCRIPTOR_FIXTURE #define ARM_COMPUTE_TEST_HOG_DESCRIPTOR_FIXTURE #include "arm_compute/core/TensorShape.h" #include "arm_compute/core/Types.h" #include "tests/Globals.h" #include "tests/Utils.h" #include "tests/framework/Fixture.h" namespace arm_compute { namespace test { namespace benchmark { template class HOGDescriptorFixture : public framework::Fixture { public: template void setup(std::string image, HOGInfo hog_info, Format format, BorderMode border_mode) { std::mt19937 generator(library->seed()); std::uniform_int_distribution distribution_u8(0, 255); uint8_t constant_border_value = static_cast(distribution_u8(generator)); // Load the image (cached by the library if loaded before) const RawTensor &raw = library->get(image, format); // Create tensor info for HOG descriptor TensorInfo tensor_info_hog_descriptor(hog_info, raw.shape().x(), raw.shape().y()); // Create tensor src = create_tensor(raw.shape(), format); dst = create_tensor(tensor_info_hog_descriptor.tensor_shape(), DataType::F32, tensor_info_hog_descriptor.num_channels()); // Create HOG HOGType hog = create_HOG(hog_info); // Create and configure function hog_descriptor_func.configure(&src, &dst, &hog, border_mode, constant_border_value); // Allocate tensor src.allocator()->allocate(); dst.allocator()->allocate(); // Copy image data to tensor library->fill(Accessor(src), raw); } void run() { hog_descriptor_func.run(); } void sync() { sync_if_necessary(); } protected: TensorType dst{}; private: TensorType src{}; Function hog_descriptor_func{}; }; } // namespace benchmark } // namespace test } // namespace arm_compute #endif /* ARM_COMPUTE_TEST_HOG_DESCRIPTOR_FIXTURE */