Michalis Spyrou | 36a559e | 2018-03-20 10:30:58 +0000 | [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/runtime/CL/functions/CLRNNLayer.h" |
| 25 | #include "tests/CL/CLAccessor.h" |
| 26 | #include "tests/PaddingCalculator.h" |
| 27 | #include "tests/datasets/RNNLayerDataset.h" |
| 28 | #include "tests/framework/Asserts.h" |
| 29 | #include "tests/framework/Macros.h" |
| 30 | #include "tests/framework/datasets/Datasets.h" |
| 31 | #include "tests/validation/Validation.h" |
| 32 | #include "tests/validation/fixtures/RNNLayerFixture.h" |
| 33 | |
| 34 | namespace arm_compute |
| 35 | { |
| 36 | namespace test |
| 37 | { |
| 38 | namespace validation |
| 39 | { |
| 40 | namespace |
| 41 | { |
Michele Di Giorgio | cf3fe94 | 2018-08-29 10:41:54 +0100 | [diff] [blame] | 42 | RelativeTolerance<float> tolerance_f32(0.001f); /**< Relative tolerance value for comparing reference's output against implementation's output for DataType:F32 */ |
| 43 | RelativeTolerance<half> rel_tolerance_f16(half(0.2)); /**< Relative tolerance value for comparing reference's output against implementation's output for DataType:F16 */ |
| 44 | constexpr float abs_tolerance_f16(0.02f); /**< Absolute tolerance value for comparing reference's output against implementation's output for DataType:F16 */ |
Michalis Spyrou | 36a559e | 2018-03-20 10:30:58 +0000 | [diff] [blame] | 45 | } // namespace |
| 46 | |
| 47 | TEST_SUITE(CL) |
| 48 | TEST_SUITE(RNNLayer) |
| 49 | |
| 50 | // *INDENT-OFF* |
| 51 | // clang-format off |
| 52 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip( |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 53 | framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U), 1, DataType::U8), // Wrong data type |
| 54 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Wrong input size |
| 55 | TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Wrong weights size |
| 56 | TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Wrong recurrent weights size |
| 57 | TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Wrong bias size |
| 58 | TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Wrong output size |
| 59 | TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Wrong hidden output size |
Michalis Spyrou | 36a559e | 2018-03-20 10:30:58 +0000 | [diff] [blame] | 60 | }), |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 61 | framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), |
| 62 | TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), |
| 63 | TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), |
| 64 | TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), |
| 65 | TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), |
| 66 | TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), |
| 67 | TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), |
Michalis Spyrou | 36a559e | 2018-03-20 10:30:58 +0000 | [diff] [blame] | 68 | })), |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 69 | framework::dataset::make("RecurrentWeightsInfo", { TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), |
| 70 | TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), |
| 71 | TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), |
| 72 | TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), |
| 73 | TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), |
| 74 | TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), |
| 75 | TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), |
Michalis Spyrou | 36a559e | 2018-03-20 10:30:58 +0000 | [diff] [blame] | 76 | })), |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 77 | framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(11U), 1, DataType::F32), |
| 78 | TensorInfo(TensorShape(11U), 1, DataType::F32), |
| 79 | TensorInfo(TensorShape(11U), 1, DataType::F32), |
| 80 | TensorInfo(TensorShape(11U), 1, DataType::F32), |
| 81 | TensorInfo(TensorShape(30U), 1, DataType::F32), |
| 82 | TensorInfo(TensorShape(11U), 1, DataType::F32), |
| 83 | TensorInfo(TensorShape(11U), 1, DataType::F32), |
Michalis Spyrou | 36a559e | 2018-03-20 10:30:58 +0000 | [diff] [blame] | 84 | })), |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 85 | framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), |
| 86 | TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), |
| 87 | TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), |
| 88 | TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), |
| 89 | TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), |
| 90 | TensorInfo(TensorShape(11U), 1, DataType::F32), |
| 91 | TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), |
Michalis Spyrou | 36a559e | 2018-03-20 10:30:58 +0000 | [diff] [blame] | 92 | })), |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 93 | framework::dataset::make("HiddenStateInfo", { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), |
| 94 | TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), |
| 95 | TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), |
| 96 | TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), |
| 97 | TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), |
| 98 | TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), |
| 99 | TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32), |
Michalis Spyrou | 36a559e | 2018-03-20 10:30:58 +0000 | [diff] [blame] | 100 | })), |
| 101 | framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| 102 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| 103 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| 104 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| 105 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| 106 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| 107 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| 108 | })), |
| 109 | framework::dataset::make("Expected", { false, false, false, false, false, false, false })), |
| 110 | input_info, weights_info, recurrent_weights_info, bias_info, output_info, hidden_output_info, info, expected) |
| 111 | { |
| 112 | ARM_COMPUTE_EXPECT(bool(CLRNNLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &recurrent_weights_info.clone()->set_is_resizable(false), &bias_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), &hidden_output_info.clone()->set_is_resizable(false), info)) == expected, framework::LogLevel::ERRORS); |
| 113 | } |
| 114 | // clang-format on |
| 115 | // *INDENT-ON* |
| 116 | |
| 117 | template <typename T> |
| 118 | using CLRNNLayerFixture = RNNLayerValidationFixture<CLTensor, CLAccessor, CLRNNLayer, T>; |
| 119 | |
| 120 | TEST_SUITE(FP32) |
| 121 | FIXTURE_DATA_TEST_CASE(RunSmall, CLRNNLayerFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallRNNLayerDataset(), framework::dataset::make("DataType", DataType::F32))) |
| 122 | { |
| 123 | // Validate output |
| 124 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 125 | } |
| 126 | TEST_SUITE_END() // FP32 |
| 127 | |
| 128 | TEST_SUITE(FP16) |
| 129 | FIXTURE_DATA_TEST_CASE(RunSmall, CLRNNLayerFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallRNNLayerDataset(), framework::dataset::make("DataType", DataType::F16))) |
| 130 | { |
| 131 | // Validate output |
Michele Di Giorgio | cf3fe94 | 2018-08-29 10:41:54 +0100 | [diff] [blame] | 132 | validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16); |
Michalis Spyrou | 36a559e | 2018-03-20 10:30:58 +0000 | [diff] [blame] | 133 | } |
| 134 | TEST_SUITE_END() // FP16 |
| 135 | TEST_SUITE_END() // RNNLayer |
| 136 | TEST_SUITE_END() // CL |
| 137 | } // namespace validation |
| 138 | } // namespace test |
| 139 | } // namespace arm_compute |