1 /* 2 * Copyright (c) 2018-2021 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_STACK_LAYER_FIXTURE 25 #define ARM_COMPUTE_TEST_STACK_LAYER_FIXTURE 26 27 #include "arm_compute/core/Helpers.h" 28 #include "arm_compute/core/TensorShape.h" 29 #include "arm_compute/core/Types.h" 30 #include "arm_compute/core/utils/misc/ShapeCalculator.h" 31 #include "tests/AssetsLibrary.h" 32 #include "tests/Globals.h" 33 #include "tests/IAccessor.h" 34 #include "tests/framework/Asserts.h" 35 #include "tests/framework/Fixture.h" 36 #include "tests/validation/Helpers.h" 37 #include "tests/validation/reference/StackLayer.h" 38 #include "tests/validation/reference/Utils.h" 39 40 #include <random> 41 #include <vector> 42 43 namespace arm_compute 44 { 45 namespace test 46 { 47 namespace validation 48 { 49 using namespace arm_compute::misc::shape_calculator; 50 51 template <typename TensorType, typename AbstractTensorType, typename AccessorType, typename FunctionType, typename T> 52 class StackLayerValidationFixture : public framework::Fixture 53 { 54 public: 55 template <typename...> setup(TensorShape shape_src,int axis,DataType data_type,int num_tensors)56 void setup(TensorShape shape_src, int axis, DataType data_type, int num_tensors) 57 { 58 _target = compute_target(shape_src, axis, data_type, num_tensors); 59 _reference = compute_reference(shape_src, axis, data_type, num_tensors); 60 } 61 62 protected: 63 template <typename U> fill(U && tensor,unsigned int i)64 void fill(U &&tensor, unsigned int i) 65 { 66 library->fill_tensor_uniform(tensor, i); 67 } 68 compute_target(TensorShape shape_src,int axis,DataType data_type,int num_tensors)69 TensorType compute_target(TensorShape shape_src, int axis, DataType data_type, int num_tensors) 70 { 71 std::vector<TensorType> tensors(num_tensors); 72 std::vector<AbstractTensorType *> src(num_tensors); 73 74 // Create vector of input tensors 75 for(int i = 0; i < num_tensors; ++i) 76 { 77 tensors[i] = create_tensor<TensorType>(shape_src, data_type); 78 src[i] = &(tensors[i]); 79 ARM_COMPUTE_ASSERT(tensors[i].info()->is_resizable()); 80 } 81 82 // Create tensors 83 TensorType dst; 84 85 // The output tensor will be auto-initialized within the function 86 87 // Create and configure function 88 FunctionType stack; 89 stack.configure(src, axis, &dst); 90 91 // Allocate and fill the input tensors 92 for(int i = 0; i < num_tensors; ++i) 93 { 94 ARM_COMPUTE_ASSERT(tensors[i].info()->is_resizable()); 95 tensors[i].allocator()->allocate(); 96 ARM_COMPUTE_ASSERT(!tensors[i].info()->is_resizable()); 97 98 // Fill input tensor 99 fill(AccessorType(tensors[i]), i); 100 } 101 102 // Allocate output tensor 103 dst.allocator()->allocate(); 104 105 ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); 106 107 // Compute stack function 108 stack.run(); 109 110 return dst; 111 } 112 compute_reference(const TensorShape & shape_src,int axis,DataType data_type,int num_tensors)113 SimpleTensor<T> compute_reference(const TensorShape &shape_src, int axis, DataType data_type, int num_tensors) 114 { 115 std::vector<SimpleTensor<T>> src; 116 117 for(int i = 0; i < num_tensors; ++i) 118 { 119 src.emplace_back(std::move(SimpleTensor<T>(shape_src, data_type, 1))); 120 121 fill(src[i], i); 122 } 123 124 // Wrap around negative values 125 const unsigned int axis_u = wrap_around(axis, static_cast<int>(shape_src.num_dimensions() + 1)); 126 127 const TensorShape shape_dst = compute_stack_shape(TensorInfo(shape_src, 1, data_type), axis_u, num_tensors); 128 129 return reference::stack_layer<T>(src, shape_dst, data_type, axis_u); 130 } 131 132 TensorType _target{}; 133 SimpleTensor<T> _reference{}; 134 }; 135 } // namespace validation 136 } // namespace test 137 } // namespace arm_compute 138 #endif /* ARM_COMPUTE_TEST_STACK_LAYER_FIXTURE */ 139