1 /* 2 * Copyright (c) 2017-2020 Arm Limited. 3 * 4 * SPDX-License-Identifier: MIT 5 * 6 * Permission is hereby granted, free of charge, to any person obtaining a copy 7 * of this software and associated documentation files (the "Software"), to 8 * deal in the Software without restriction, including without limitation the 9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 10 * sell copies of the Software, and to permit persons to whom the Software is 11 * furnished to do so, subject to the following conditions: 12 * 13 * The above copyright notice and this permission notice shall be included in all 14 * copies or substantial portions of the Software. 15 * 16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 22 * SOFTWARE. 23 */ 24 #ifndef ARM_COMPUTE_TEST_SCALE_FIXTURE 25 #define ARM_COMPUTE_TEST_SCALE_FIXTURE 26 27 #include "arm_compute/core/TensorShape.h" 28 #include "arm_compute/core/Types.h" 29 #include "tests/Globals.h" 30 #include "tests/Utils.h" 31 #include "tests/framework/Fixture.h" 32 33 namespace arm_compute 34 { 35 namespace test 36 { 37 namespace benchmark 38 { 39 template <typename TensorType, typename Function, typename Accessor> 40 class ScaleFixture : public framework::Fixture 41 { 42 public: 43 template <typename...> setup(TensorShape shape,DataType data_type,DataLayout data_layout,InterpolationPolicy policy,BorderMode border_mode,SamplingPolicy sampling_policy)44 void setup(TensorShape shape, DataType data_type, DataLayout data_layout, InterpolationPolicy policy, BorderMode border_mode, SamplingPolicy sampling_policy) 45 { 46 constexpr float max_width = 8192.0f; 47 constexpr float max_height = 6384.0f; 48 49 // Change shape in case of NHWC. 50 if(data_layout == DataLayout::NHWC) 51 { 52 permute(shape, PermutationVector(2U, 0U, 1U)); 53 } 54 55 std::mt19937 generator(library->seed()); 56 std::uniform_real_distribution<float> distribution_float(0.25f, 3.0f); 57 float scale_x = distribution_float(generator); 58 float scale_y = distribution_float(generator); 59 60 scale_x = ((shape.x() * scale_x) > max_width) ? (max_width / shape.x()) : scale_x; 61 scale_y = ((shape.y() * scale_y) > max_height) ? (max_height / shape.y()) : scale_y; 62 63 std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); 64 uint8_t constant_border_value = static_cast<uint8_t>(distribution_u8(generator)); 65 66 const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); 67 const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); 68 69 TensorShape shape_scaled(shape); 70 shape_scaled.set(idx_width, shape[idx_width] * scale_x); 71 shape_scaled.set(idx_height, shape[idx_height] * scale_y); 72 73 // Create tensors 74 src = create_tensor<TensorType>(shape, data_type); 75 dst = create_tensor<TensorType>(shape_scaled, data_type); 76 77 // Create and configure function 78 scale_func.configure(&src, &dst, ScaleKernelInfo{ policy, border_mode, constant_border_value, sampling_policy, false }); 79 80 // Allocate tensors 81 src.allocator()->allocate(); 82 dst.allocator()->allocate(); 83 } 84 run()85 void run() 86 { 87 scale_func.run(); 88 } 89 sync()90 void sync() 91 { 92 sync_if_necessary<TensorType>(); 93 sync_tensor_if_necessary<TensorType>(dst); 94 } 95 teardown()96 void teardown() 97 { 98 src.allocator()->free(); 99 dst.allocator()->free(); 100 } 101 102 private: 103 TensorType src{}; 104 TensorType dst{}; 105 Function scale_func{}; 106 }; 107 } // namespace benchmark 108 } // namespace test 109 } // namespace arm_compute 110 #endif /* ARM_COMPUTE_TEST_SCALE_FIXTURE */ 111