From dea2d2d58fe3a742e6f66fe50befbe0044e15ad1 Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Wed, 19 Dec 2018 16:23:17 +0000 Subject: COMPMID-1772: Implement PadV2 for NEON Change-Id: Ia4604524a034c46b004fd850183480c5fbfd8cb3 Reviewed-on: https://review.mlplatform.org/437 Tested-by: Arm Jenkins Reviewed-by: Michalis Spyrou --- tests/validation/NEON/PadLayer.cpp | 184 +++++++++++++++++++++++++++++++++++++ 1 file changed, 184 insertions(+) create mode 100644 tests/validation/NEON/PadLayer.cpp (limited to 'tests/validation/NEON/PadLayer.cpp') diff --git a/tests/validation/NEON/PadLayer.cpp b/tests/validation/NEON/PadLayer.cpp new file mode 100644 index 0000000000..90d3ae98d8 --- /dev/null +++ b/tests/validation/NEON/PadLayer.cpp @@ -0,0 +1,184 @@ +/* + * Copyright (c) 2018-2019 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/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 }, { 1, 1 } }, + PaddingList{ { 0, 0 }, { 1, 0 }, { 0, 1 }, { 1, 2 } }, + PaddingList{ { 0, 0 }, { 0, 0 }, { 0, 0 }, { 1, 1 } } +}); +} // namespace + +TEST_SUITE(NEON) +TEST_SUITE(PadLayer) + +// *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), // 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) + })), + 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}} + })), + framework::dataset::make("Expected", { false, false, true, true, true, true })), + input_info, output_info, padding, expected) +{ + Status s = NEPadLayer::validate(&input_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), padding); + ARM_COMPUTE_EXPECT(bool(s) == 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(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::F32 })), + PaddingSizesDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture, framework::DatasetMode::NIGHTLY, + combine( + combine(datasets::LargeShapes(), framework::dataset::make("DataType", { DataType::F32 })), + PaddingSizesDataset)) +{ + // 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(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::F16 })), + PaddingSizesDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture, framework::DatasetMode::NIGHTLY, + combine( + combine(datasets::LargeShapes(), framework::dataset::make("DataType", { DataType::F16 })), + PaddingSizesDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() // FP16 +#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ +TEST_SUITE_END() // Float + +TEST_SUITE(Integer) +TEST_SUITE(S8) +FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture, framework::DatasetMode::ALL, + combine( + combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::S8 })), + PaddingSizesDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture, framework::DatasetMode::NIGHTLY, + combine( + combine(datasets::LargeShapes(), framework::dataset::make("DataType", { DataType::S8 })), + PaddingSizesDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() // S8 +TEST_SUITE_END() // Integer + +TEST_SUITE(Quantized) +TEST_SUITE(QASYMM8) +FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture, framework::DatasetMode::ALL, + combine( + combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::QASYMM8 })), + PaddingSizesDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture, framework::DatasetMode::NIGHTLY, + combine( + combine(datasets::LargeShapes(), framework::dataset::make("DataType", { DataType::QASYMM8 })), + PaddingSizesDataset)) +{ + // 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 -- cgit v1.2.1