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 25 #ifndef ARM_COMPUTE_TEST_GATHER_FIXTURE 26 #define ARM_COMPUTE_TEST_GATHER_FIXTURE 27 28 #include "arm_compute/core/TensorShape.h" 29 #include "arm_compute/core/Types.h" 30 31 #include "arm_compute/core/utils/misc/ShapeCalculator.h" 32 #include "tests/AssetsLibrary.h" 33 #include "tests/Globals.h" 34 #include "tests/IAccessor.h" 35 #include "tests/framework/Asserts.h" 36 #include "tests/framework/Fixture.h" 37 #include "tests/validation/Helpers.h" 38 #include "tests/validation/reference/Gather.h" 39 40 namespace arm_compute 41 { 42 namespace test 43 { 44 namespace validation 45 { 46 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 47 class GatherFixture : public framework::Fixture 48 { 49 public: 50 template <typename...> setup(TensorShape input_shape,TensorShape indices_shape,int axis,DataType data_type)51 void setup(TensorShape input_shape, TensorShape indices_shape, int axis, DataType data_type) 52 { 53 _target = compute_target(input_shape, data_type, axis, indices_shape); 54 _reference = compute_reference(input_shape, data_type, axis, indices_shape); 55 } 56 57 protected: 58 template <typename U> fill(U && tensor)59 void fill(U &&tensor) 60 { 61 library->fill_tensor_uniform(tensor, 0); 62 } 63 64 template <typename U> generate_indices(U && indices,const TensorShape & input_shape,uint32_t actual_axis,TensorShape indices_shape)65 void generate_indices(U &&indices, const TensorShape &input_shape, uint32_t actual_axis, TensorShape indices_shape) 66 { 67 std::mt19937 gen(library->seed()); 68 uint32_t *indices_ptr = static_cast<uint32_t *>(indices.data()); 69 70 std::uniform_int_distribution<uint32_t> dist_index(0, input_shape[actual_axis] - 1); 71 //Let's consider 1D indices 72 for(unsigned int ind = 0; ind < indices_shape[0]; ind++) 73 { 74 indices_ptr[ind] = dist_index(gen); 75 } 76 } 77 compute_target(const TensorShape & input_shape,DataType data_type,int axis,const TensorShape indices_shape)78 TensorType compute_target(const TensorShape &input_shape, 79 DataType data_type, 80 int axis, 81 const TensorShape indices_shape) 82 { 83 // Create tensors 84 TensorType src = create_tensor<TensorType>(input_shape, data_type); 85 TensorType indices_tensor = create_tensor<TensorType>(indices_shape, DataType::U32); 86 const uint32_t actual_axis = wrap_around(axis, static_cast<int>(input_shape.num_dimensions())); 87 TensorShape output_shape = arm_compute::misc::shape_calculator::compute_gather_shape(input_shape, indices_shape, actual_axis); 88 TensorType dst = create_tensor<TensorType>(output_shape, data_type); 89 90 // Create and configure function 91 FunctionType gather; 92 gather.configure(&src, &indices_tensor, &dst, axis); 93 94 ARM_COMPUTE_ASSERT(src.info()->is_resizable()); 95 ARM_COMPUTE_ASSERT(indices_tensor.info()->is_resizable()); 96 ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); 97 98 // Allocate tensors 99 src.allocator()->allocate(); 100 indices_tensor.allocator()->allocate(); 101 dst.allocator()->allocate(); 102 103 ARM_COMPUTE_ASSERT(!src.info()->is_resizable()); 104 ARM_COMPUTE_ASSERT(!indices_tensor.info()->is_resizable()); 105 ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); 106 107 // Fill tensors 108 fill(AccessorType(src)); 109 generate_indices(AccessorType(indices_tensor), input_shape, actual_axis, indices_shape); 110 111 // Compute function 112 gather.run(); 113 114 return dst; 115 } 116 compute_reference(const TensorShape & input_shape,DataType data_type,int axis,const TensorShape indices_shape)117 SimpleTensor<T> compute_reference(const TensorShape &input_shape, 118 DataType data_type, 119 int axis, 120 const TensorShape indices_shape) 121 { 122 // Create reference tensor 123 SimpleTensor<T> src{ input_shape, data_type }; 124 SimpleTensor<uint32_t> indices_tensor{ indices_shape, DataType::U32 }; 125 const uint32_t actual_axis = wrap_around(axis, static_cast<int>(input_shape.num_dimensions())); 126 127 // Fill reference tensor 128 fill(src); 129 generate_indices(indices_tensor, input_shape, actual_axis, indices_shape); 130 131 return reference::gather(src, indices_tensor, actual_axis); 132 } 133 134 TensorType _target{}; 135 SimpleTensor<T> _reference{}; 136 }; 137 138 } // namespace validation 139 } // namespace test 140 } // namespace arm_compute 141 142 #endif /* ARM_COMPUTE_TEST_GATHER_FIXTURE */ 143