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Diffstat (limited to 'tests/validation/NEON/InstanceNormalizationLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/InstanceNormalizationLayer.cpp | 140 |
1 files changed, 140 insertions, 0 deletions
diff --git a/tests/validation/NEON/InstanceNormalizationLayer.cpp b/tests/validation/NEON/InstanceNormalizationLayer.cpp new file mode 100644 index 0000000000..8356613368 --- /dev/null +++ b/tests/validation/NEON/InstanceNormalizationLayer.cpp @@ -0,0 +1,140 @@ +/* + * Copyright (c) 2019 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/NEInstanceNormalizationLayer.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/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/InstanceNormalizationLayerFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +/** Tolerance for float operations */ +AbsoluteTolerance<float> tolerance_f32(0.001f); +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +AbsoluteTolerance<float> tolerance_f16(0.2f); +#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +} // namespace + +TEST_SUITE(NEON) +TEST_SUITE(InstanceNormalizationLayer) + +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip( + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching data type input/output + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching shape input/output + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 2, DataType::F32), // Number of Input channels != 1 + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16), // DataType != F32 + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32) + }), + framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F16), + TensorInfo(TensorShape(256U, 64U, 32U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32) + })), + framework::dataset::make("Expected", { false, false, false, false, true, true, true, true })), + input_info, output_info, expected) +{ + bool is_valid = bool(NEInstanceNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false), + &output_info.clone()->set_is_resizable(false) + )); + ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + +template <typename T> +using NEInstanceNormalizationLayerFixture = InstanceNormalizationLayerValidationFixture<Tensor, Accessor, NEInstanceNormalizationLayer, T>; + +TEST_SUITE(FP32) +FIXTURE_DATA_TEST_CASE(RunSmall, NEInstanceNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, + combine(combine(combine(datasets::Small4DShapes(), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + framework::dataset::make("InPlace", { false, true }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_f32); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, NEInstanceNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, + combine(combine(combine(datasets::Large4DShapes(), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + framework::dataset::make("InPlace", { false, true }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_f32); +} +TEST_SUITE_END() // FP32 + +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(RunSmall, NEInstanceNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, + combine(combine(combine(datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::F16)), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + framework::dataset::make("InPlace", { false, true }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_f16); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, NEInstanceNormalizationLayerFixture<half>, framework::DatasetMode::NIGHTLY, + combine(combine(combine(datasets::LargeShapes(), + framework::dataset::make("DataType", DataType::F16)), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + framework::dataset::make("InPlace", { false, true }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_f16); +} +TEST_SUITE_END() // FP16 +#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC + +TEST_SUITE_END() // InstanceNormalizationLayer +TEST_SUITE_END() // NEON +} // namespace validation +} // namespace test +} // namespace arm_compute |