| /* | |
| * 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/graph/Utils.h" | |
| #include "arm_compute/runtime/CL/CLScheduler.h" | |
| #include "arm_compute/runtime/CL/functions/CLPadLayer.h" | |
| #include "src/graph/mutators/MutatorUtils.h" | |
| #include "tests/CL/CLAccessor.h" | |
| #include "tests/Globals.h" | |
| #include "tests/datasets/ShapeDatasets.h" | |
| #include "tests/framework/Macros.h" | |
| #include "tests/framework/datasets/Datasets.h" | |
| #include "tests/validation/Validation.h" | |
| #include "tests/validation/fixtures/PadLayerFixture.h" | |
| #include "utils/TypePrinter.h" | |
| namespace arm_compute | |
| { | |
| namespace test | |
| { | |
| namespace validation | |
| { | |
| namespace | |
| { | |
| const auto PaddingSizesDataset3D = framework::dataset::make("PaddingSize", | |
| { | |
| PaddingList{ { 0, 0 } }, | |
| PaddingList{ { 1, 1 } }, | |
| PaddingList{ { 33, 33 } }, | |
| PaddingList{ { 1, 1 }, { 5, 5 } }, | |
| PaddingList{ { 1, 1 }, { 1, 1 }, { 5, 5 } }, | |
| PaddingList{ { 0, 0 }, { 1, 0 }, { 0, 1 } }, | |
| PaddingList{ { 0, 0 }, { 0, 0 }, { 0, 0 } } | |
| }); | |
| const auto PaddingSizesDataset4D = framework::dataset::make("PaddingSize", | |
| { | |
| PaddingList{ { 1, 1 }, { 1, 0 }, { 1, 1 }, { 0, 0 } }, | |
| PaddingList{ { 0, 0 }, { 0, 0 }, { 0, 0 }, { 1, 1 } }, | |
| PaddingList{ { 0, 1 }, { 1, 0 }, { 2, 2 }, { 1, 0 } }, | |
| PaddingList{ { 1, 1 }, { 1, 1 }, { 1, 1 }, { 3, 3 } } | |
| }); | |
| } // namespace | |
| TEST_SUITE(CL) | |
| 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 with padding | |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid number of pad dimensions | |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes dimension | |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::F32) // Invalid padding list | |
| }), | |
| 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(29U, 15U, 4U, 3U), 1, DataType::F32), | |
| TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 13U), 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{{1,1}, {1,1}, {1,1}}, | |
| PaddingList{{1, 1}, {2, 2}}, | |
| PaddingList{{0,0}, {0,0}, {1,1}} | |
| })), | |
| framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, | |
| PaddingMode::CONSTANT, | |
| PaddingMode::CONSTANT, | |
| PaddingMode::CONSTANT, | |
| PaddingMode::SYMMETRIC, | |
| PaddingMode::REFLECT, | |
| PaddingMode::REFLECT | |
| })), | |
| framework::dataset::make("Expected", { false, | |
| false, | |
| true, | |
| false, | |
| false, | |
| true, | |
| false })), | |
| input_info, output_info, padding, mode, expected) | |
| { | |
| ARM_COMPUTE_EXPECT(bool(CLPadLayer::validate(&input_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), padding, PixelValue(), mode)) == expected, framework::LogLevel::ERRORS); | |
| } | |
| DATA_TEST_CASE(CheckFusingWithConvolution, framework::DatasetMode::ALL, zip(zip( | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, | |
| DataLayout::NCHW, | |
| DataLayout::NCHW, | |
| DataLayout::NCHW, | |
| DataLayout::NCHW, | |
| DataLayout::NCHW, | |
| DataLayout::NCHW, | |
| DataLayout::NCHW, | |
| DataLayout::NHWC, | |
| DataLayout::NHWC, | |
| DataLayout::NHWC, | |
| DataLayout::NHWC, | |
| DataLayout::NHWC, | |
| DataLayout::NHWC, | |
| DataLayout::NHWC, | |
| DataLayout::UNKNOWN | |
| }), | |
| framework::dataset::make("PaddingList", { PaddingList({{0, 0}, {1, 1}, {1, 1}}), // nchw | |
| PaddingList({{1, 1}, {1, 1}, {0, 0}, {0, 0}}), | |
| PaddingList({{1, 1}, {1, 1}}), | |
| PaddingList({}), | |
| PaddingList({{0, 0}}), | |
| PaddingList({{0, 0}, {0, 0}, {0, 0}, {0, 0}}), | |
| PaddingList({{0, 0}, {0, 0}, {0, 0}, {1, 0}}), | |
| PaddingList({{0, 1}}), | |
| PaddingList({{0, 0}, {1, 1}, {1, 1}}), // nhwc | |
| PaddingList({{0, 0}, {0, 0}, {1, 1}, {1, 1}}), | |
| PaddingList({{0, 0}, {1, 0}, {1, 1}, {0, 0}}), | |
| PaddingList({}), | |
| PaddingList({{0, 0}}), | |
| PaddingList({{0, 1}}), | |
| PaddingList({{0, 0}, {1, 1}}), | |
| PaddingList({{0, 0}}) | |
| })), // unknown | |
| framework::dataset::make("Expected", { false, // nchw | |
| true, | |
| true, | |
| true, | |
| true, | |
| true, | |
| false, | |
| true, | |
| true, // nhwc | |
| false, | |
| true, | |
| true, | |
| true, | |
| false, | |
| true, | |
| false // unknown | |
| })), | |
| data_layout, padding_list, expected) | |
| { | |
| ARM_COMPUTE_EXPECT(expected == arm_compute::graph::is_padding_in_height_or_width(data_layout, padding_list), framework::LogLevel::ERRORS); | |
| } | |
| // clang-format on | |
| // *INDENT-ON* | |
| template <typename T> | |
| using CLPaddingFixture = PaddingFixture<CLTensor, CLAccessor, CLPadLayer, T>; | |
| TEST_SUITE(Float) | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPaddingFixture<float>, framework::DatasetMode::ALL, | |
| combine(combine(combine(datasets::Small3DShapes(), framework::dataset::make("DataType", { DataType::F32 })), PaddingSizesDataset3D), | |
| framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT, PaddingMode::SYMMETRIC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunSmall4D, CLPaddingFixture<float>, framework::DatasetMode::ALL, | |
| combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", { DataType::F32 })), PaddingSizesDataset4D), | |
| framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLPaddingFixture<float>, framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(datasets::Large3DShapes(), framework::dataset::make("DataType", { DataType::F32 })), PaddingSizesDataset3D), | |
| framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT, PaddingMode::SYMMETRIC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| TEST_SUITE_END() // FP32 | |
| TEST_SUITE(FP16) | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLPaddingFixture<half>, framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(datasets::Large3DShapes(), framework::dataset::make("DataType", { DataType::F16 })), PaddingSizesDataset3D), | |
| framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| TEST_SUITE_END() // FP16 | |
| TEST_SUITE_END() // Float | |
| TEST_SUITE(Quantized) | |
| TEST_SUITE(QASYMM8) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPaddingFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::Small3DShapes(), framework::dataset::make("DataType", { DataType::QASYMM8 })), PaddingSizesDataset3D), | |
| framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunSmall4D, CLPaddingFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", { DataType::QASYMM8 })), PaddingSizesDataset4D), | |
| framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLPaddingFixture<uint8_t>, framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(datasets::Large3DShapes(), framework::dataset::make("DataType", { DataType::QASYMM8 })), PaddingSizesDataset3D), | |
| framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| TEST_SUITE_END() // QASYMM8 | |
| TEST_SUITE(QASYMM8_SIGNED) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPaddingFixture<int8_t>, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::Small3DShapes(), framework::dataset::make("DataType", { DataType::QASYMM8_SIGNED })), PaddingSizesDataset3D), | |
| framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| TEST_SUITE_END() // QASYMM8_SIGNED | |
| TEST_SUITE_END() // Quantized | |
| TEST_SUITE_END() // PadLayer | |
| TEST_SUITE_END() // CL | |
| } // namespace validation | |
| } // namespace test | |
| } // namespace arm_compute |