1 /* 2 * Copyright (c) 2017-2021 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_SCALELAYERFIXTURE 25 #define ARM_COMPUTE_TEST_SCALELAYERFIXTURE 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/Asserts.h" 32 #include "tests/framework/Fixture.h" 33 34 namespace arm_compute 35 { 36 namespace test 37 { 38 /** Fixture that can be used for Neon, CL and OpenGL ES */ 39 template <typename TensorType, typename Function, typename Accessor, typename T> 40 class ScaleLayerFixture : public framework::Fixture 41 { 42 public: 43 template <typename...> setup(TensorShape shape,InterpolationPolicy policy,BorderMode border_mode,SamplingPolicy sampling_policy,float sx,float sy,DataType data_type)44 void setup(TensorShape shape, InterpolationPolicy policy, BorderMode border_mode, SamplingPolicy sampling_policy, float sx, float sy, DataType data_type) 45 { 46 constexpr float max_width = 8192.0f; 47 constexpr float max_height = 6384.0f; 48 49 std::mt19937 generator(library->seed()); 50 51 float scale_x = ((shape.x() * sx) > max_width) ? (max_width / shape.x()) : sx; 52 float scale_y = ((shape.y() * sy) > max_height) ? (max_height / shape.y()) : sy; 53 54 std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); 55 T constant_border_value = static_cast<T>(distribution_u8(generator)); 56 57 // Create tensors 58 src = create_tensor<TensorType>(shape, data_type); 59 TensorShape shape_scaled(shape); 60 shape_scaled.set(0, shape[0] * scale_x); 61 shape_scaled.set(1, shape[1] * scale_y); 62 dst = create_tensor<TensorType>(shape_scaled, data_type); 63 64 scale_layer.configure(&src, &dst, ScaleKernelInfo{ policy, border_mode, constant_border_value, sampling_policy }); 65 66 ARM_COMPUTE_ASSERT(src.info()->is_resizable()); 67 ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); 68 69 // Allocate tensors 70 src.allocator()->allocate(); 71 dst.allocator()->allocate(); 72 } 73 run()74 void run() 75 { 76 scale_layer.run(); 77 } 78 sync()79 void sync() 80 { 81 sync_if_necessary<TensorType>(); 82 sync_tensor_if_necessary<TensorType>(dst); 83 } 84 teardown()85 void teardown() 86 { 87 src.allocator()->free(); 88 dst.allocator()->free(); 89 } 90 91 private: 92 TensorType src{}; 93 TensorType dst{}; 94 Function scale_layer{}; 95 }; 96 } // namespace test 97 } // namespace arm_compute 98 #endif /* ARM_COMPUTE_TEST_SCALELAYERFIXTURE */ 99