| /* |
| * 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_SCALE_FIXTURE |
| #define ARM_COMPUTE_TEST_SCALE_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 <typename TensorType, typename Function, typename Accessor> |
| class ScaleFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType data_type, DataLayout data_layout, InterpolationPolicy policy, BorderMode border_mode, SamplingPolicy sampling_policy) |
| { |
| constexpr float max_width = 8192.0f; |
| constexpr float max_height = 6384.0f; |
| |
| // Change shape in case of NHWC. |
| if(data_layout == DataLayout::NHWC) |
| { |
| permute(shape, PermutationVector(2U, 0U, 1U)); |
| } |
| |
| std::mt19937 generator(library->seed()); |
| std::uniform_real_distribution<float> distribution_float(0.25f, 3.0f); |
| float scale_x = distribution_float(generator); |
| float scale_y = distribution_float(generator); |
| |
| scale_x = ((shape.x() * scale_x) > max_width) ? (max_width / shape.x()) : scale_x; |
| scale_y = ((shape.y() * scale_y) > max_height) ? (max_height / shape.y()) : scale_y; |
| |
| std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); |
| uint8_t constant_border_value = static_cast<uint8_t>(distribution_u8(generator)); |
| |
| const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); |
| const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); |
| |
| TensorShape shape_scaled(shape); |
| shape_scaled.set(idx_width, shape[idx_width] * scale_x); |
| shape_scaled.set(idx_height, shape[idx_height] * scale_y); |
| |
| // Create tensors |
| src = create_tensor<TensorType>(shape, data_type); |
| dst = create_tensor<TensorType>(shape_scaled, data_type); |
| |
| // Create and configure function |
| scale_func.configure(&src, &dst, policy, border_mode, constant_border_value, sampling_policy); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| } |
| |
| void run() |
| { |
| scale_func.run(); |
| } |
| |
| void sync() |
| { |
| sync_if_necessary<TensorType>(); |
| sync_tensor_if_necessary<TensorType>(dst); |
| } |
| |
| void teardown() |
| { |
| src.allocator()->free(); |
| dst.allocator()->free(); |
| } |
| |
| private: |
| TensorType src{}; |
| TensorType dst{}; |
| Function scale_func{}; |
| }; |
| } // namespace benchmark |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_SCALE_FIXTURE */ |