Manuel Bottini | 769c638 | 2019-08-22 13:13:48 +0100 | [diff] [blame^] | 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_INSTANCENORMALIZATION_FIXTURE |
| 25 | #define ARM_COMPUTE_TEST_INSTANCENORMALIZATION_FIXTURE |
| 26 | |
| 27 | #include "arm_compute/core/TensorShape.h" |
| 28 | #include "arm_compute/core/Types.h" |
| 29 | #include "arm_compute/runtime/Tensor.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/reference/InstanceNormalizationLayer.h" |
| 36 | |
| 37 | namespace arm_compute |
| 38 | { |
| 39 | namespace test |
| 40 | { |
| 41 | namespace validation |
| 42 | { |
| 43 | template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| 44 | class InstanceNormalizationLayerValidationFixture : public framework::Fixture |
| 45 | { |
| 46 | public: |
| 47 | template <typename...> |
| 48 | void setup(TensorShape shape, DataType data_type, DataLayout data_layout, bool in_place) |
| 49 | { |
| 50 | _target = compute_target(shape, data_type, data_layout, in_place); |
| 51 | _reference = compute_reference(shape, data_type, data_layout); |
| 52 | } |
| 53 | |
| 54 | protected: |
| 55 | template <typename U> |
| 56 | void fill(U &&tensor) |
| 57 | { |
| 58 | std::uniform_real_distribution<> distribution(1.f, 2.f); |
| 59 | library->fill(tensor, distribution, 0); |
| 60 | } |
| 61 | |
| 62 | TensorType compute_target(TensorShape shape, DataType data_type, DataLayout data_layout, bool in_place) |
| 63 | { |
| 64 | if(data_layout == DataLayout::NHWC) |
| 65 | { |
| 66 | permute(shape, PermutationVector(2U, 0U, 1U)); |
| 67 | } |
| 68 | |
| 69 | std::mt19937 gen(library->seed()); |
| 70 | std::uniform_real_distribution<float> dist_gamma(1.f, 2.f); |
| 71 | std::uniform_real_distribution<float> dist_beta(-2.f, 2.f); |
| 72 | std::uniform_real_distribution<float> dist_epsilon(1e-16f, 1e-12f); |
| 73 | |
| 74 | const float gamma = dist_gamma(gen); |
| 75 | const float beta = dist_beta(gen); |
| 76 | const float epsilon = dist_epsilon(gen); |
| 77 | |
| 78 | // Create tensors |
| 79 | TensorType src = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout); |
| 80 | TensorType dst = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout); |
| 81 | |
| 82 | // Create and configure function |
| 83 | FunctionType instance_norm_func; |
| 84 | instance_norm_func.configure(&src, in_place ? nullptr : &dst, gamma, beta, epsilon); |
| 85 | |
| 86 | ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 87 | if(!in_place) |
| 88 | { |
| 89 | ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 90 | } |
| 91 | |
| 92 | // Allocate tensors |
| 93 | src.allocator()->allocate(); |
| 94 | if(!in_place) |
| 95 | { |
| 96 | dst.allocator()->allocate(); |
| 97 | } |
| 98 | |
| 99 | ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 100 | if(!in_place) |
| 101 | { |
| 102 | ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 103 | } |
| 104 | |
| 105 | // Fill tensors |
| 106 | fill(AccessorType(src)); |
| 107 | |
| 108 | // Compute function |
| 109 | instance_norm_func.run(); |
| 110 | |
| 111 | if(in_place) |
| 112 | { |
| 113 | return src; |
| 114 | } |
| 115 | else |
| 116 | { |
| 117 | return dst; |
| 118 | } |
| 119 | } |
| 120 | |
| 121 | SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, DataLayout data_layout) |
| 122 | { |
| 123 | std::mt19937 gen(library->seed()); |
| 124 | std::uniform_real_distribution<float> dist_gamma(1.f, 2.f); |
| 125 | std::uniform_real_distribution<float> dist_beta(-2.f, 2.f); |
| 126 | std::uniform_real_distribution<float> dist_epsilon(1e-16f, 1e-12f); |
| 127 | |
| 128 | const float gamma = dist_gamma(gen); |
| 129 | const float beta = dist_beta(gen); |
| 130 | const float epsilon = dist_epsilon(gen); |
| 131 | |
| 132 | // Create reference |
| 133 | SimpleTensor<T> src{ shape, data_type }; |
| 134 | |
| 135 | // Fill reference |
| 136 | fill(src); |
| 137 | |
| 138 | return reference::instance_normalization<T>(src, gamma, beta, epsilon); |
| 139 | } |
| 140 | |
| 141 | TensorType _target{}; |
| 142 | SimpleTensor<T> _reference{}; |
| 143 | }; |
| 144 | } // namespace validation |
| 145 | } // namespace test |
| 146 | } // namespace arm_compute |
| 147 | #endif /* ARM_COMPUTE_TEST_INSTANCENORMALIZATION_FIXTURE */ |