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_UNSTACK_FIXTURE 25 #define ARM_COMPUTE_TEST_UNSTACK_FIXTURE 26 27 #include "arm_compute/core/TensorShape.h" 28 #include "arm_compute/core/Types.h" 29 #include "arm_compute/core/utils/misc/ShapeCalculator.h" 30 #include "tests/AssetsLibrary.h" 31 #include "tests/Globals.h" 32 #include "tests/IAccessor.h" 33 #include "tests/framework/Asserts.h" 34 #include "tests/framework/Fixture.h" 35 #include "tests/validation/Helpers.h" 36 #include "tests/validation/reference/Unstack.h" 37 38 #include <random> 39 40 namespace arm_compute 41 { 42 namespace test 43 { 44 namespace validation 45 { 46 template <typename TensorType, typename ITensorType, typename AccessorType, typename FunctionType, typename T> 47 class UnstackValidationFixture : public framework::Fixture 48 { 49 public: 50 template <typename...> setup(TensorShape input_shape,int axis,int num,DataType data_type)51 void setup(TensorShape input_shape, int axis, int num, DataType data_type) 52 { 53 _target = compute_target(input_shape, axis, num, data_type); 54 _reference = compute_reference(input_shape, axis, num, data_type); 55 } 56 57 protected: 58 template <typename U> fill(U && tensor,int i)59 void fill(U &&tensor, int i) 60 { 61 library->fill_tensor_uniform(tensor, i); 62 } 63 compute_target(TensorShape input_shape,int axis,unsigned int num,DataType data_type)64 std::vector<TensorType> compute_target(TensorShape input_shape, int axis, unsigned int num, DataType data_type) 65 { 66 TensorType input_tensor = create_tensor<TensorType>(input_shape, data_type); 67 const unsigned int axis_u = wrap_around(axis, static_cast<int>(input_shape.num_dimensions())); 68 const unsigned int axis_size = input_shape[axis_u]; 69 const unsigned int num_slices = std::min(num, axis_size); 70 std::vector<TensorType> output_slices(num_slices); 71 std::vector<ITensorType *> output_ptrs(num_slices); 72 for(size_t k = 0; k < num_slices; ++k) 73 { 74 output_ptrs[k] = &output_slices[k]; 75 } 76 // Create and configure function 77 FunctionType unstack; 78 unstack.configure(&input_tensor, output_ptrs, axis); 79 // Allocate tensors 80 for(auto &out : output_slices) 81 { 82 out.allocator()->allocate(); 83 ARM_COMPUTE_ASSERT(!out.info()->is_resizable()); 84 } 85 input_tensor.allocator()->allocate(); 86 ARM_COMPUTE_ASSERT(!input_tensor.info()->is_resizable()); 87 fill(AccessorType(input_tensor), 0); 88 // Compute function 89 unstack.run(); 90 return output_slices; 91 } 92 compute_reference(TensorShape input_shape,int axis,unsigned int num,DataType data_type)93 std::vector<SimpleTensor<T>> compute_reference(TensorShape input_shape, int axis, unsigned int num, DataType data_type) 94 { 95 const unsigned int axis_u = wrap_around(axis, static_cast<int>(input_shape.num_dimensions())); 96 const unsigned int axis_size = input_shape[axis_u]; 97 const unsigned int num_output_tensors = (num == 0) ? axis_size : std::min(axis_size, num); 98 // create and fill input tensor 99 SimpleTensor<T> input_tensor{ input_shape, data_type }; 100 fill(input_tensor, 0); 101 // create output tensors 102 const TensorShape slice_shape = arm_compute::misc::shape_calculator::calculate_unstack_shape(input_shape, axis_u); 103 std::vector<SimpleTensor<T>> output_tensors(num_output_tensors); 104 for(size_t k = 0; k < num_output_tensors; ++k) 105 { 106 output_tensors[k] = SimpleTensor<T>(slice_shape, data_type); 107 } 108 109 return reference::unstack<T>(input_tensor, output_tensors, axis); 110 } 111 112 std::vector<TensorType> _target{}; 113 std::vector<SimpleTensor<T>> _reference{}; 114 }; 115 } // namespace validation 116 } // namespace test 117 } // namespace arm_compute 118 #endif /* ARM_COMPUTE_TEST_UNSTACK_FIXTURE */ 119