| /* |
| * Copyright (c) 2017 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/NEON/functions/NENormalizationLayer.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "arm_compute/runtime/TensorAllocator.h" |
| #include "tests/NEON/Accessor.h" |
| #include "tests/PaddingCalculator.h" |
| #include "tests/datasets/NormalizationTypesDataset.h" |
| #include "tests/datasets/ShapeDatasets.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Macros.h" |
| #include "tests/framework/datasets/Datasets.h" |
| #include "tests/validation/Validation.h" |
| #include "tests/validation/fixtures/NormalizationLayerFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| /** Tolerance for float operations */ |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| constexpr AbsoluteTolerance<float> tolerance_f16(0.001f); |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| constexpr AbsoluteTolerance<float> tolerance_f32(0.00001f); |
| /** Tolerance for fixed point operations */ |
| constexpr AbsoluteTolerance<int8_t> tolerance_qs8(2); |
| constexpr AbsoluteTolerance<int16_t> tolerance_qs16(4); |
| |
| /** Input data set. */ |
| const auto NormalizationDataset = combine(combine(combine(combine(datasets::SmallShapes(), datasets::NormalizationTypes()), framework::dataset::make("NormalizationSize", 3, 9, 2)), |
| framework::dataset::make("Beta", { 0.5f, 1.f, 2.f })), |
| framework::dataset::make("IsScaled", { true })); |
| const auto NormalizationDatasetFP32 = combine(combine(combine(combine(datasets::SmallShapes(), datasets::NormalizationTypes()), framework::dataset::make("NormalizationSize", 3, 9, 2)), |
| framework::dataset::make("Beta", { 0.5f, 1.f, 2.f })), |
| framework::dataset::make("IsScaled", { true, false })); |
| } // namespace |
| |
| TEST_SUITE(NEON) |
| TEST_SUITE(NormalizationLayer) |
| |
| //TODO(COMPMID-415): Missing configuration? |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Mismatching data type input/output |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Mismatching shapes |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Even normalization |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Non implemented IN_MAP_2D |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 4), // Mismatching fixed point position |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Window shrink |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0), |
| }), |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16, 0), |
| TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32, 0), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0), |
| })), |
| framework::dataset::make("NormInfo", { NormalizationLayerInfo(NormType::IN_MAP_1D, 5), |
| NormalizationLayerInfo(NormType::IN_MAP_1D, 5), |
| NormalizationLayerInfo(NormType::IN_MAP_1D, 4), |
| NormalizationLayerInfo(NormType::IN_MAP_2D, 5), |
| NormalizationLayerInfo(NormType::IN_MAP_1D, 5), |
| NormalizationLayerInfo(NormType::IN_MAP_1D, 5), |
| NormalizationLayerInfo(NormType::CROSS_MAP, 1), |
| })), |
| framework::dataset::make("Expected", { false, false, false, false, false, false, true })), |
| input_info, output_info, norm_info, expected) |
| { |
| bool is_valid = bool(NENormalizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), norm_info)); |
| ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| template <typename T> |
| using NENormalizationLayerFixture = NormalizationValidationFixture<Tensor, Accessor, NENormalizationLayer, T>; |
| |
| TEST_SUITE(Float) |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NENormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(NormalizationDataset, framework::dataset::make("DataType", DataType::F16))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f16); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, NENormalizationLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(NormalizationDataset, framework::dataset::make("DataType", DataType::F16))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f16); |
| } |
| TEST_SUITE_END() |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NENormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(NormalizationDatasetFP32, framework::dataset::make("DataType", DataType::F32))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, NENormalizationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(NormalizationDatasetFP32, framework::dataset::make("DataType", DataType::F32))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f32); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| template <typename T> |
| using NENormalizationLayerFixedPointFixture = NormalizationValidationFixedPointFixture<Tensor, Accessor, NENormalizationLayer, T>; |
| |
| TEST_SUITE(Quantized) |
| TEST_SUITE(QS8) |
| // Testing for fixed point position [1,6) as reciprocal limits the maximum fixed point position to 5 |
| FIXTURE_DATA_TEST_CASE(RunSmall, NENormalizationLayerFixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(NormalizationDataset, framework::dataset::make("DataType", |
| DataType::QS8)), |
| framework::dataset::make("FractionalBits", 1, 6))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_qs8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, NENormalizationLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(NormalizationDataset, framework::dataset::make("DataType", |
| DataType::QS8)), |
| framework::dataset::make("FractionalBits", 1, 6))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_qs8); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(QS16) |
| // Testing for fixed point position [1,14) as reciprocal limits the maximum fixed point position to 14 |
| FIXTURE_DATA_TEST_CASE(RunSmall, NENormalizationLayerFixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(NormalizationDataset, framework::dataset::make("DataType", |
| DataType::QS16)), |
| framework::dataset::make("FractionalBits", 1, 14))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_qs16); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, NENormalizationLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(NormalizationDataset, framework::dataset::make("DataType", |
| DataType::QS16)), |
| framework::dataset::make("FractionalBits", 1, 14))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_qs16); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |