/* * 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 using NEPaddingFixture = PaddingFixture; TEST_SUITE(Float) TEST_SUITE(FP32) FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture, 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, 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, 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, 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, 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, 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