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 | #include "arm_compute/core/Types.h" |
| 25 | #include "arm_compute/runtime/NEON/functions/NEInstanceNormalizationLayer.h" |
| 26 | #include "arm_compute/runtime/Tensor.h" |
| 27 | #include "arm_compute/runtime/TensorAllocator.h" |
| 28 | #include "tests/NEON/Accessor.h" |
| 29 | #include "tests/PaddingCalculator.h" |
| 30 | #include "tests/datasets/ShapeDatasets.h" |
| 31 | #include "tests/framework/Asserts.h" |
| 32 | #include "tests/framework/Macros.h" |
| 33 | #include "tests/framework/datasets/Datasets.h" |
| 34 | #include "tests/validation/Validation.h" |
| 35 | #include "tests/validation/fixtures/InstanceNormalizationLayerFixture.h" |
| 36 | |
| 37 | namespace arm_compute |
| 38 | { |
| 39 | namespace test |
| 40 | { |
| 41 | namespace validation |
| 42 | { |
| 43 | namespace |
| 44 | { |
| 45 | /** Tolerance for float operations */ |
| 46 | AbsoluteTolerance<float> tolerance_f32(0.001f); |
| 47 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 48 | AbsoluteTolerance<float> tolerance_f16(0.2f); |
| 49 | #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 50 | } // namespace |
| 51 | |
| 52 | TEST_SUITE(NEON) |
| 53 | TEST_SUITE(InstanceNormalizationLayer) |
| 54 | |
| 55 | // *INDENT-OFF* |
| 56 | // clang-format off |
| 57 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip( |
| 58 | framework::dataset::make("InputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching data type input/output |
| 59 | TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching shape input/output |
| 60 | TensorInfo(TensorShape(128U, 64U, 32U, 4U), 2, DataType::F32), // Number of Input channels != 1 |
| 61 | TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16), // DataType != F32 |
| 62 | TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), |
| 63 | TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), |
| 64 | TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), |
| 65 | TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32) |
| 66 | }), |
| 67 | framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F16), |
| 68 | TensorInfo(TensorShape(256U, 64U, 32U, 4U), 1, DataType::F32), |
| 69 | TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), |
| 70 | TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16), |
| 71 | TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), |
| 72 | TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), |
| 73 | TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), |
| 74 | TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32) |
| 75 | })), |
| 76 | framework::dataset::make("Expected", { false, false, false, false, true, true, true, true })), |
| 77 | input_info, output_info, expected) |
| 78 | { |
| 79 | bool is_valid = bool(NEInstanceNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false), |
| 80 | &output_info.clone()->set_is_resizable(false) |
| 81 | )); |
| 82 | ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); |
| 83 | } |
| 84 | // clang-format on |
| 85 | // *INDENT-ON* |
| 86 | |
| 87 | template <typename T> |
| 88 | using NEInstanceNormalizationLayerFixture = InstanceNormalizationLayerValidationFixture<Tensor, Accessor, NEInstanceNormalizationLayer, T>; |
| 89 | |
| 90 | TEST_SUITE(FP32) |
| 91 | FIXTURE_DATA_TEST_CASE(RunSmall, NEInstanceNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, |
| 92 | combine(combine(combine(datasets::Small4DShapes(), |
| 93 | framework::dataset::make("DataType", DataType::F32)), |
| 94 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| 95 | framework::dataset::make("InPlace", { false, true }))) |
| 96 | { |
| 97 | // Validate output |
| 98 | validate(Accessor(_target), _reference, tolerance_f32); |
| 99 | } |
| 100 | |
| 101 | FIXTURE_DATA_TEST_CASE(RunLarge, NEInstanceNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, |
| 102 | combine(combine(combine(datasets::Large4DShapes(), |
| 103 | framework::dataset::make("DataType", DataType::F32)), |
| 104 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| 105 | framework::dataset::make("InPlace", { false, true }))) |
| 106 | { |
| 107 | // Validate output |
| 108 | validate(Accessor(_target), _reference, tolerance_f32); |
| 109 | } |
| 110 | TEST_SUITE_END() // FP32 |
| 111 | |
| 112 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 113 | TEST_SUITE(FP16) |
| 114 | FIXTURE_DATA_TEST_CASE(RunSmall, NEInstanceNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, |
| 115 | combine(combine(combine(datasets::SmallShapes(), |
| 116 | framework::dataset::make("DataType", DataType::F16)), |
| 117 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| 118 | framework::dataset::make("InPlace", { false, true }))) |
| 119 | { |
| 120 | // Validate output |
| 121 | validate(Accessor(_target), _reference, tolerance_f16); |
| 122 | } |
| 123 | |
| 124 | FIXTURE_DATA_TEST_CASE(RunLarge, NEInstanceNormalizationLayerFixture<half>, framework::DatasetMode::NIGHTLY, |
| 125 | combine(combine(combine(datasets::LargeShapes(), |
| 126 | framework::dataset::make("DataType", DataType::F16)), |
| 127 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| 128 | framework::dataset::make("InPlace", { false, true }))) |
| 129 | { |
| 130 | // Validate output |
| 131 | validate(Accessor(_target), _reference, tolerance_f16); |
| 132 | } |
| 133 | TEST_SUITE_END() // FP16 |
| 134 | #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 135 | |
| 136 | TEST_SUITE_END() // InstanceNormalizationLayer |
| 137 | TEST_SUITE_END() // NEON |
| 138 | } // namespace validation |
| 139 | } // namespace test |
| 140 | } // namespace arm_compute |