1 /* 2 * Copyright (c) 2019-2021 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_SPACE_TO_DEPTH_LAYER_FIXTURE 25 #define ARM_COMPUTE_TEST_SPACE_TO_DEPTH_LAYER_FIXTURE 26 27 #include "arm_compute/core/utils/misc/ShapeCalculator.h" 28 #include "tests/Globals.h" 29 #include "tests/framework/Asserts.h" 30 #include "tests/framework/Fixture.h" 31 #include "tests/validation/reference/SpaceToDepth.h" 32 33 namespace arm_compute 34 { 35 namespace test 36 { 37 namespace validation 38 { 39 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 40 class SpaceToDepthLayerValidationFixture : public framework::Fixture 41 { 42 public: 43 template <typename...> setup(TensorShape input_shape,TensorShape output_shape,const int block_shape,DataType data_type,DataLayout data_layout)44 void setup(TensorShape input_shape, TensorShape output_shape, const int block_shape, DataType data_type, DataLayout data_layout) 45 { 46 _target = compute_target(input_shape, output_shape, block_shape, data_type, data_layout); 47 _reference = compute_reference(input_shape, output_shape, block_shape, data_type); 48 } 49 50 protected: 51 template <typename U> fill(U && tensor,int i)52 void fill(U &&tensor, int i) 53 { 54 static_assert(std::is_floating_point<T>::value || std::is_same<T, half>::value, "Only floating point data types supported."); 55 using DistributionType = typename std::conditional<std::is_same<T, half>::value, arm_compute::utils::uniform_real_distribution_16bit<T>, std::uniform_real_distribution<T>>::type; 56 57 DistributionType distribution{ T(-1.0f), T(1.0f) }; 58 library->fill(tensor, distribution, i); 59 } compute_target(TensorShape input_shape,TensorShape output_shape,const int block_shape,DataType data_type,DataLayout data_layout)60 TensorType compute_target(TensorShape input_shape, TensorShape output_shape, const int block_shape, 61 DataType data_type, DataLayout data_layout) 62 { 63 if(data_layout == DataLayout::NHWC) 64 { 65 permute(input_shape, PermutationVector(2U, 0U, 1U)); 66 permute(output_shape, PermutationVector(2U, 0U, 1U)); 67 } 68 69 // Create tensors 70 TensorType input = create_tensor<TensorType>(input_shape, data_type, 1, QuantizationInfo(), data_layout); 71 TensorType output = create_tensor<TensorType>(output_shape, data_type, 1, QuantizationInfo(), data_layout); 72 73 auto calc_out_shape = misc::shape_calculator::compute_space_to_depth_shape(input.info(), block_shape); 74 ARM_COMPUTE_ASSERT(output_shape[0] == calc_out_shape[0]); 75 ARM_COMPUTE_ASSERT(output_shape[1] == calc_out_shape[1]); 76 ARM_COMPUTE_ASSERT(output_shape[2] == calc_out_shape[2]); 77 ARM_COMPUTE_ASSERT(output_shape[3] == calc_out_shape[3]); 78 79 // Create and configure function 80 FunctionType space_to_depth; 81 space_to_depth.configure(&input, &output, block_shape); 82 83 ARM_COMPUTE_ASSERT(input.info()->is_resizable()); 84 ARM_COMPUTE_ASSERT(output.info()->is_resizable()); 85 86 // Allocate tensors 87 input.allocator()->allocate(); 88 output.allocator()->allocate(); 89 90 ARM_COMPUTE_ASSERT(!input.info()->is_resizable()); 91 ARM_COMPUTE_ASSERT(!output.info()->is_resizable()); 92 93 // Fill tensors 94 fill(AccessorType(input), 0); 95 // Compute function 96 space_to_depth.run(); 97 98 return output; 99 } 100 compute_reference(const TensorShape & input_shape,const TensorShape & output_shape,const int block_shape,DataType data_type)101 SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &output_shape, 102 const int block_shape, DataType data_type) 103 { 104 // Create reference 105 SimpleTensor<T> input{ input_shape, data_type }; 106 107 // Fill reference 108 fill(input, 0); 109 110 // Compute reference 111 return reference::space_to_depth(input, output_shape, block_shape); 112 } 113 114 TensorType _target{}; 115 SimpleTensor<T> _reference{}; 116 }; 117 } // namespace validation 118 } // namespace test 119 } // namespace arm_compute 120 #endif /* ARM_COMPUTE_TEST_SPACE_TO_DEPTH_LAYER_FIXTURE */ 121