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_WEIGHTS_RESHAPE_FIXTURE 25 #define ARM_COMPUTE_TEST_WEIGHTS_RESHAPE_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 "arm_compute/runtime/Tensor.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/reference/WeightsReshape.h" 38 39 namespace arm_compute 40 { 41 namespace test 42 { 43 namespace validation 44 { 45 using namespace arm_compute::misc::shape_calculator; 46 47 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 48 class WeightsReshapeOpValidationFixture : public framework::Fixture 49 { 50 public: 51 template <typename...> setup(TensorShape input_shape,DataType data_type,bool has_bias,unsigned int num_groups)52 void setup(TensorShape input_shape, DataType data_type, bool has_bias, unsigned int num_groups) 53 { 54 const TensorShape output_shape = compute_weights_reshaped_shape(TensorInfo(input_shape, 1, data_type), has_bias, num_groups); 55 56 _target = compute_target(input_shape, output_shape, has_bias, num_groups, data_type); 57 _reference = compute_reference(input_shape, output_shape, has_bias, num_groups, data_type); 58 } 59 60 protected: 61 template <typename U> fill(U && tensor,const int seed)62 void fill(U &&tensor, const int seed) 63 { 64 library->fill_tensor_uniform(tensor, seed); 65 } 66 compute_target(const TensorShape & input_shape,const TensorShape & output_shape,const bool has_bias,const unsigned int num_groups,DataType data_type)67 TensorType compute_target(const TensorShape &input_shape, const TensorShape &output_shape, const bool has_bias, const unsigned int num_groups, DataType data_type) 68 { 69 // Create tensors 70 TensorType src = create_tensor<TensorType>(input_shape, data_type); 71 TensorType bias = create_tensor<TensorType>(TensorShape(input_shape[3]), data_type); 72 TensorType dst = create_tensor<TensorType>(output_shape, data_type); 73 74 // Create and configure function 75 FunctionType weights_reshape_func; 76 weights_reshape_func.configure(src.info(), (has_bias ? bias.info() : nullptr), dst.info(), num_groups); 77 78 ARM_COMPUTE_ASSERT(src.info()->is_resizable()); 79 ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); 80 81 // Allocate tensors 82 src.allocator()->allocate(); 83 dst.allocator()->allocate(); 84 85 ARM_COMPUTE_ASSERT(!src.info()->is_resizable()); 86 ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); 87 88 // Fill tensors 89 fill(AccessorType(src), 0); 90 91 if(has_bias) 92 { 93 ARM_COMPUTE_ASSERT(bias.info()->is_resizable()); 94 95 bias.allocator()->allocate(); 96 97 ARM_COMPUTE_ASSERT(!bias.info()->is_resizable()); 98 99 fill(AccessorType(bias), 1); 100 } 101 102 arm_compute::ITensorPack pack = 103 { 104 { arm_compute::TensorType::ACL_SRC, &src }, 105 { arm_compute::TensorType::ACL_DST, &dst } 106 }; 107 108 if(has_bias) 109 { 110 pack.add_const_tensor(arm_compute::TensorType::ACL_BIAS, &bias); 111 } 112 // Compute function 113 weights_reshape_func.run(pack); 114 115 return dst; 116 } 117 compute_reference(const TensorShape & input_shape,const TensorShape & output_shape,const bool has_bias,const unsigned int num_groups,DataType data_type)118 SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &output_shape, const bool has_bias, const unsigned int num_groups, DataType data_type) 119 { 120 // Create reference 121 SimpleTensor<T> src{ input_shape, data_type }; 122 SimpleTensor<T> bias{ TensorShape(has_bias ? input_shape[3] : 0), data_type }; 123 124 // Fill reference 125 fill(src, 0); 126 if(has_bias) 127 { 128 fill(bias, 1); 129 } 130 131 return reference::weights_reshape(src, bias, output_shape, num_groups); 132 } 133 134 TensorType _target{}; 135 SimpleTensor<T> _reference{}; 136 }; 137 } // namespace validation 138 } // namespace test 139 } // namespace arm_compute 140 #endif /* ARM_COMPUTE_TEST_WEIGHTS_RESHAPE_FIXTURE */ 141