| /* |
| * Copyright (c) 2018-2021 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/NEPadLayer.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/PadLayerFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| const auto PaddingSizesDataset = framework::dataset::make("PaddingSize", |
| { |
| PaddingList{ { 0, 0 } }, |
| PaddingList{ { 1, 1 } }, |
| PaddingList{ { 1, 1 }, { 2, 2 } }, |
| PaddingList{ { 1, 1 }, { 1, 1 }, { 1, 1 } }, |
| PaddingList{ { 0, 0 }, { 1, 0 }, { 0, 1 } }, |
| PaddingList{ { 0, 1 }, { 1, 0 }, { 0, 1 } }, |
| }); |
| } // namespace |
| |
| TEST_SUITE(NEON) |
| TEST_SUITE(PadLayer) |
| |
| // *INDENT-OFF* |
| // clang-format off |
| |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/output |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/output |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32) |
| }), |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), |
| TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), |
| TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32) |
| })), |
| framework::dataset::make("PaddingSize", { PaddingList{{0, 0}}, |
| PaddingList{{1, 1}}, |
| PaddingList{{1, 1}, {2, 2}}, |
| PaddingList{{1,1}, {1,1}, {1,1}, {1,1}}, |
| PaddingList{{0,0}, {1,0}, {0,1}, {1,2}}, |
| PaddingList{{0,0}, {0,0}, {0,0}, {1,1}}, |
| PaddingList{{0, 0}}, |
| PaddingList{{1, 1}}, |
| PaddingList{{1, 1}, {2, 2}}, |
| PaddingList{{1,1}, {1,1}, {1,1}, {1,1}}, |
| PaddingList{{0,0}, {1,0}, {0,1}, {1,2}}, |
| PaddingList{{0,0}, {0,0}, {0,0}, {1,1}} |
| })), |
| framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, |
| PaddingMode::CONSTANT, |
| PaddingMode::CONSTANT, |
| PaddingMode::CONSTANT, |
| PaddingMode::CONSTANT, |
| PaddingMode::CONSTANT, |
| PaddingMode::REFLECT, |
| PaddingMode::REFLECT, |
| PaddingMode::REFLECT, |
| PaddingMode::REFLECT, |
| PaddingMode::REFLECT, |
| PaddingMode::SYMMETRIC })), |
| framework::dataset::make("Expected", { false, false, true, true, true, true, false, false, true, false, false, true })), |
| input_info, output_info, padding, mode, expected) |
| { |
| ARM_COMPUTE_EXPECT(bool(NEPadLayer::validate(&input_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), padding, PixelValue(), mode)) == expected, framework::LogLevel::ERRORS); |
| } |
| |
| // clang-format on |
| // *INDENT-ON* |
| |
| template <typename T> |
| using NEPaddingFixture = PaddingFixture<Tensor, Accessor, NEPadLayer, T>; |
| |
| TEST_SUITE(Float) |
| |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture<float>, framework::DatasetMode::ALL, |
| combine(combine(combine(datasets::Small3DShapes(), framework::dataset::make("DataType", { DataType::F32 })), |
| PaddingSizesDataset), |
| framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture<float>, framework::DatasetMode::NIGHTLY, |
| combine(combine(combine(datasets::Large3DShapes(), framework::dataset::make("DataType", { DataType::F32 })), |
| PaddingSizesDataset), |
| framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT, PaddingMode::SYMMETRIC }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() // FP32 |
| |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture<half>, framework::DatasetMode::ALL, |
| combine(combine(combine(datasets::Small3DShapes(), framework::dataset::make("DataType", { DataType::F16 })), |
| PaddingSizesDataset), |
| framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture<half>, framework::DatasetMode::NIGHTLY, |
| combine(combine(combine(datasets::Large3DShapes(), framework::dataset::make("DataType", { DataType::F16 })), |
| PaddingSizesDataset), |
| framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT, PaddingMode::SYMMETRIC }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() // FP16 |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| TEST_SUITE_END() // Float |
| |
| TEST_SUITE(Quantized) |
| TEST_SUITE(QASYMM8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture<uint8_t>, framework::DatasetMode::ALL, |
| combine(combine(combine(datasets::Small3DShapes(), framework::dataset::make("DataType", { DataType::QASYMM8 })), |
| PaddingSizesDataset), |
| framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture<uint8_t>, framework::DatasetMode::NIGHTLY, |
| combine(combine(combine(datasets::Large3DShapes(), framework::dataset::make("DataType", { DataType::QASYMM8 })), |
| PaddingSizesDataset), |
| framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT, PaddingMode::SYMMETRIC }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() // QASYMM8 |
| TEST_SUITE_END() // Quantized |
| |
| TEST_SUITE_END() // PadLayer |
| TEST_SUITE_END() // Neon |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |