Michalis Spyrou | ceb889e | 2018-09-17 18:24:41 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2018 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 | #include "arm_compute/core/TensorShape.h" |
| 25 | #include "arm_compute/core/Types.h" |
| 26 | #include "tests/AssetsLibrary.h" |
| 27 | #include "tests/Globals.h" |
| 28 | #include "tests/IAccessor.h" |
| 29 | #include "tests/framework/Asserts.h" |
| 30 | #include "tests/framework/Fixture.h" |
| 31 | #include "tests/validation/Helpers.h" |
| 32 | #include "tests/validation/reference/UpsampleLayer.h" |
| 33 | |
| 34 | #include <random> |
| 35 | |
| 36 | namespace arm_compute |
| 37 | { |
| 38 | namespace test |
| 39 | { |
| 40 | namespace validation |
| 41 | { |
| 42 | template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| 43 | class UpsampleLayerFixture : public framework::Fixture |
| 44 | { |
| 45 | public: |
| 46 | template <typename...> |
| 47 | void setup(TensorShape input_shape, DataType data_type, DataLayout data_layout, |
Michalis Spyrou | 7c9541c | 2018-09-20 17:40:04 +0100 | [diff] [blame] | 48 | Size2D info, const InterpolationPolicy &policy) |
Michalis Spyrou | ceb889e | 2018-09-17 18:24:41 +0100 | [diff] [blame] | 49 | { |
| 50 | _data_type = data_type; |
| 51 | |
Michalis Spyrou | 7c9541c | 2018-09-20 17:40:04 +0100 | [diff] [blame] | 52 | _target = compute_target(input_shape, info, policy, data_type, data_layout); |
| 53 | _reference = compute_reference(input_shape, info, policy, data_type); |
Michalis Spyrou | ceb889e | 2018-09-17 18:24:41 +0100 | [diff] [blame] | 54 | } |
| 55 | |
| 56 | protected: |
| 57 | template <typename U> |
| 58 | void fill(U &&tensor, int i) |
| 59 | { |
| 60 | library->fill_tensor_uniform(tensor, i); |
| 61 | } |
| 62 | |
| 63 | TensorType compute_target(TensorShape input_shape, |
Michalis Spyrou | 7c9541c | 2018-09-20 17:40:04 +0100 | [diff] [blame] | 64 | const Size2D &info, const InterpolationPolicy &policy, DataType data_type, DataLayout data_layout) |
Michalis Spyrou | ceb889e | 2018-09-17 18:24:41 +0100 | [diff] [blame] | 65 | { |
| 66 | if(data_layout == DataLayout::NHWC) |
| 67 | { |
| 68 | permute(input_shape, PermutationVector(2U, 0U, 1U)); |
| 69 | } |
| 70 | |
| 71 | // Create tensors |
| 72 | TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, QuantizationInfo(), data_layout); |
| 73 | TensorType dst; |
| 74 | |
| 75 | // Create and configure function |
| 76 | FunctionType upsample; |
Michalis Spyrou | 7c9541c | 2018-09-20 17:40:04 +0100 | [diff] [blame] | 77 | upsample.configure(&src, &dst, info, policy); |
Michalis Spyrou | ceb889e | 2018-09-17 18:24:41 +0100 | [diff] [blame] | 78 | |
| 79 | ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 80 | ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 81 | |
| 82 | // Allocate tensors |
| 83 | src.allocator()->allocate(); |
| 84 | dst.allocator()->allocate(); |
| 85 | |
| 86 | ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 87 | ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 88 | |
| 89 | // Fill tensors |
| 90 | fill(AccessorType(src), 0); |
| 91 | |
| 92 | // Compute DeconvolutionLayer function |
| 93 | upsample.run(); |
| 94 | |
| 95 | return dst; |
| 96 | } |
| 97 | |
| 98 | SimpleTensor<T> compute_reference(const TensorShape &input_shape, |
Michalis Spyrou | 7c9541c | 2018-09-20 17:40:04 +0100 | [diff] [blame] | 99 | const Size2D &info, const InterpolationPolicy &policy, DataType data_type) |
Michalis Spyrou | ceb889e | 2018-09-17 18:24:41 +0100 | [diff] [blame] | 100 | { |
| 101 | // Create reference |
| 102 | SimpleTensor<T> src{ input_shape, data_type }; |
| 103 | |
| 104 | // Fill reference |
| 105 | fill(src, 0); |
| 106 | |
Michalis Spyrou | 7c9541c | 2018-09-20 17:40:04 +0100 | [diff] [blame] | 107 | return reference::upsample_layer<T>(src, info, policy); |
Michalis Spyrou | ceb889e | 2018-09-17 18:24:41 +0100 | [diff] [blame] | 108 | } |
| 109 | |
| 110 | TensorType _target{}; |
| 111 | SimpleTensor<T> _reference{}; |
| 112 | DataType _data_type{}; |
| 113 | }; |
| 114 | } // namespace validation |
| 115 | } // namespace test |
| 116 | } // namespace arm_compute |