SiCong Li | 1e5c157 | 2017-07-27 17:58:52 +0100 | [diff] [blame] | 1 | /* |
Anthony Barbier | 72856ab | 2018-01-11 10:45:24 +0000 | [diff] [blame] | 2 | * Copyright (c) 2017-2018 ARM Limited. |
SiCong Li | 1e5c157 | 2017-07-27 17:58:52 +0100 | [diff] [blame] | 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_BATCHNORMALIZATIONLAYERFIXTURE |
| 25 | #define ARM_COMPUTE_TEST_BATCHNORMALIZATIONLAYERFIXTURE |
| 26 | |
| 27 | #include "arm_compute/core/TensorShape.h" |
| 28 | #include "arm_compute/core/Types.h" |
SiCong Li | 1e5c157 | 2017-07-27 17:58:52 +0100 | [diff] [blame] | 29 | #include "tests/Globals.h" |
| 30 | #include "tests/Utils.h" |
Moritz Pflanzer | a09de0c | 2017-09-01 20:41:12 +0100 | [diff] [blame] | 31 | #include "tests/framework/Fixture.h" |
SiCong Li | 1e5c157 | 2017-07-27 17:58:52 +0100 | [diff] [blame] | 32 | |
| 33 | namespace arm_compute |
| 34 | { |
| 35 | namespace test |
| 36 | { |
Michalis Spyrou | 724079d | 2017-12-15 11:37:37 +0000 | [diff] [blame^] | 37 | namespace benchmark |
| 38 | { |
SiCong Li | 1e5c157 | 2017-07-27 17:58:52 +0100 | [diff] [blame] | 39 | /** Fixture that can be used for NEON and CL */ |
| 40 | template <typename TensorType, typename Function, typename Accessor> |
| 41 | class BatchNormalizationLayerFixture : public framework::Fixture |
| 42 | { |
| 43 | public: |
| 44 | template <typename...> |
Giorgio Arena | 1167487 | 2018-02-07 15:38:12 +0000 | [diff] [blame] | 45 | void setup(TensorShape tensor_shape, TensorShape param_shape, float epsilon, ActivationLayerInfo act_info, DataType data_type, int batches) |
SiCong Li | 1e5c157 | 2017-07-27 17:58:52 +0100 | [diff] [blame] | 46 | { |
| 47 | // Set batched in source and destination shapes |
| 48 | const unsigned int fixed_point_position = 4; |
| 49 | tensor_shape.set(tensor_shape.num_dimensions(), batches); |
| 50 | |
| 51 | // Create tensors |
| 52 | src = create_tensor<TensorType>(tensor_shape, data_type, 1, fixed_point_position); |
| 53 | dst = create_tensor<TensorType>(tensor_shape, data_type, 1, fixed_point_position); |
| 54 | mean = create_tensor<TensorType>(param_shape, data_type, 1, fixed_point_position); |
| 55 | variance = create_tensor<TensorType>(param_shape, data_type, 1, fixed_point_position); |
| 56 | beta = create_tensor<TensorType>(param_shape, data_type, 1, fixed_point_position); |
| 57 | gamma = create_tensor<TensorType>(param_shape, data_type, 1, fixed_point_position); |
| 58 | |
| 59 | // Create and configure function |
Giorgio Arena | 1167487 | 2018-02-07 15:38:12 +0000 | [diff] [blame] | 60 | batch_norm_layer.configure(&src, &dst, &mean, &variance, &beta, &gamma, epsilon, act_info); |
SiCong Li | 1e5c157 | 2017-07-27 17:58:52 +0100 | [diff] [blame] | 61 | |
| 62 | // Allocate tensors |
| 63 | src.allocator()->allocate(); |
| 64 | dst.allocator()->allocate(); |
| 65 | mean.allocator()->allocate(); |
| 66 | variance.allocator()->allocate(); |
| 67 | beta.allocator()->allocate(); |
| 68 | gamma.allocator()->allocate(); |
SiCong Li | 1e5c157 | 2017-07-27 17:58:52 +0100 | [diff] [blame] | 69 | } |
| 70 | |
| 71 | void run() |
| 72 | { |
| 73 | batch_norm_layer.run(); |
Joel Liang | 1c5ffd6 | 2017-12-28 10:09:51 +0800 | [diff] [blame] | 74 | } |
| 75 | |
| 76 | void sync() |
| 77 | { |
| 78 | sync_if_necessary<TensorType>(); |
| 79 | sync_tensor_if_necessary<TensorType>(dst); |
SiCong Li | 1e5c157 | 2017-07-27 17:58:52 +0100 | [diff] [blame] | 80 | } |
| 81 | |
| 82 | void teardown() |
| 83 | { |
| 84 | src.allocator()->free(); |
| 85 | dst.allocator()->free(); |
| 86 | mean.allocator()->free(); |
| 87 | variance.allocator()->free(); |
| 88 | beta.allocator()->free(); |
| 89 | gamma.allocator()->free(); |
| 90 | } |
| 91 | |
| 92 | private: |
| 93 | TensorType src{}; |
| 94 | TensorType dst{}; |
| 95 | TensorType mean{}; |
| 96 | TensorType variance{}; |
| 97 | TensorType beta{}; |
| 98 | TensorType gamma{}; |
| 99 | Function batch_norm_layer{}; |
| 100 | }; |
Michalis Spyrou | 724079d | 2017-12-15 11:37:37 +0000 | [diff] [blame^] | 101 | } // namespace benchmark |
SiCong Li | 1e5c157 | 2017-07-27 17:58:52 +0100 | [diff] [blame] | 102 | } // namespace test |
| 103 | } // namespace arm_compute |
| 104 | #endif /* ARM_COMPUTE_TEST_BATCHNORMALIZATIONLAYERFIXTURE */ |