1 /* 2 * Copyright (c) 2019 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_DEPTH_TO_SPACE_LAYER_FIXTURE 25 #define ARM_COMPUTE_TEST_DEPTH_TO_SPACE_LAYER_FIXTURE 26 27 #include "tests/Globals.h" 28 #include "tests/framework/Asserts.h" 29 #include "tests/framework/Fixture.h" 30 #include "tests/validation/reference/DepthToSpaceLayer.h" 31 32 namespace arm_compute 33 { 34 namespace test 35 { 36 namespace validation 37 { 38 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 39 class DepthToSpaceLayerValidationFixture : public framework::Fixture 40 { 41 public: 42 template <typename...> setup(TensorShape input_shape,int32_t block_shape,TensorShape output_shape,DataType data_type,DataLayout data_layout)43 void setup(TensorShape input_shape, int32_t block_shape, TensorShape output_shape, DataType data_type, DataLayout data_layout) 44 { 45 _target = compute_target(input_shape, block_shape, output_shape, data_type, data_layout); 46 _reference = compute_reference(input_shape, block_shape, output_shape, data_type); 47 } 48 49 protected: 50 template <typename U> fill(U && tensor,int i)51 void fill(U &&tensor, int i) 52 { 53 std::uniform_real_distribution<> distribution(-1.0f, 1.0f); 54 library->fill(tensor, distribution, i); 55 } compute_target(TensorShape input_shape,int32_t block_shape,TensorShape output_shape,DataType data_type,DataLayout data_layout)56 TensorType compute_target(TensorShape input_shape, int32_t block_shape, TensorShape output_shape, 57 DataType data_type, DataLayout data_layout) 58 { 59 if(data_layout == DataLayout::NHWC) 60 { 61 permute(input_shape, PermutationVector(2U, 0U, 1U)); 62 permute(output_shape, PermutationVector(2U, 0U, 1U)); 63 } 64 65 // Create tensors 66 TensorType input = create_tensor<TensorType>(input_shape, data_type, 1, QuantizationInfo(), data_layout); 67 TensorType output = create_tensor<TensorType>(output_shape, data_type, 1, QuantizationInfo(), data_layout); 68 69 // Create and configure function 70 FunctionType depth_to_space; 71 depth_to_space.configure(&input, &output, block_shape); 72 73 ARM_COMPUTE_EXPECT(input.info()->is_resizable(), framework::LogLevel::ERRORS); 74 ARM_COMPUTE_EXPECT(output.info()->is_resizable(), framework::LogLevel::ERRORS); 75 76 // Allocate tensors 77 input.allocator()->allocate(); 78 output.allocator()->allocate(); 79 80 ARM_COMPUTE_EXPECT(!input.info()->is_resizable(), framework::LogLevel::ERRORS); 81 ARM_COMPUTE_EXPECT(!output.info()->is_resizable(), framework::LogLevel::ERRORS); 82 83 // Fill tensors 84 fill(AccessorType(input), 0); 85 86 // Compute function 87 depth_to_space.run(); 88 89 return output; 90 } 91 compute_reference(const TensorShape & input_shape,int32_t block_shape,const TensorShape & output_shape,DataType data_type)92 SimpleTensor<T> compute_reference(const TensorShape &input_shape, int32_t block_shape, 93 const TensorShape &output_shape, DataType data_type) 94 { 95 // Create reference 96 SimpleTensor<T> input{ input_shape, data_type }; 97 98 // Fill reference 99 fill(input, 0); 100 101 // Compute reference 102 return reference::depth_to_space(input, output_shape, block_shape); 103 } 104 105 TensorType _target{}; 106 SimpleTensor<T> _reference{}; 107 }; 108 } // namespace validation 109 } // namespace test 110 } // namespace arm_compute 111 #endif /* ARM_COMPUTE_TEST_DEPTH_TO_SPACE_LAYER_FIXTURE */ 112