From d75f9e9a7bd192a88631972ccd82254059ce4a9d Mon Sep 17 00:00:00 2001 From: Pablo Tello Date: Fri, 23 Aug 2019 16:26:26 +0100 Subject: COMPMID-2318: Implement NEROIAlignLayer Change-Id: I2665c98b5d6523a9ddaef0b7c220aecd22559ce6 Signed-off-by: Pablo Tello Reviewed-on: https://review.mlplatform.org/c/1826 Comments-Addressed: Arm Jenkins Tested-by: Arm Jenkins Reviewed-by: Michele Di Giorgio --- tests/validation/NEON/ROIAlignLayer.cpp | 134 ++++++++++++++++++++++++++++++++ 1 file changed, 134 insertions(+) create mode 100644 tests/validation/NEON/ROIAlignLayer.cpp (limited to 'tests') diff --git a/tests/validation/NEON/ROIAlignLayer.cpp b/tests/validation/NEON/ROIAlignLayer.cpp new file mode 100644 index 0000000000..853ef6558d --- /dev/null +++ b/tests/validation/NEON/ROIAlignLayer.cpp @@ -0,0 +1,134 @@ +/* + * 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/NEROIAlignLayer.h" +#include "arm_compute/runtime/Tensor.h" +#include "arm_compute/runtime/TensorAllocator.h" +#include "tests/Globals.h" +#include "tests/NEON/Accessor.h" +#include "tests/datasets/ROIDataset.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/ROIAlignLayerFixture.h" +#include "utils/TypePrinter.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +RelativeTolerance relative_tolerance_f32(0.01f); +AbsoluteTolerance absolute_tolerance_f32(0.001f); + +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +RelativeTolerance relative_tolerance_f16(0.01f); +AbsoluteTolerance absolute_tolerance_f16(0.001f); +#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC + +} // namespace + +TEST_SUITE(NEON) +TEST_SUITE(RoiAlign) + +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), + TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching data type input/rois + TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching data type input/output + TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), // Mismatching depth size input/output + TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching number of rois and output batch size + TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Invalid number of values per ROIS + TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching height and width input/output + + }), + framework::dataset::make("RoisInfo", { TensorInfo(TensorShape(5, 4U), 1, DataType::F32), + TensorInfo(TensorShape(5, 4U), 1, DataType::F16), + TensorInfo(TensorShape(5, 4U), 1, DataType::F32), + TensorInfo(TensorShape(5, 4U), 1, DataType::F32), + TensorInfo(TensorShape(5, 10U), 1, DataType::F32), + TensorInfo(TensorShape(4, 4U), 1, DataType::F32), + TensorInfo(TensorShape(5, 4U), 1, DataType::F32), + })), + framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F16), + TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(5U, 5U, 3U, 4U), 1, DataType::F32), + })), + framework::dataset::make("PoolInfo", { ROIPoolingLayerInfo(7U, 7U, 1./8), + ROIPoolingLayerInfo(7U, 7U, 1./8), + ROIPoolingLayerInfo(7U, 7U, 1./8), + ROIPoolingLayerInfo(7U, 7U, 1./8), + ROIPoolingLayerInfo(7U, 7U, 1./8), + ROIPoolingLayerInfo(7U, 7U, 1./8), + ROIPoolingLayerInfo(7U, 7U, 1./8), + })), + framework::dataset::make("Expected", { true, false, false, false, false, false, false })), + input_info, rois_info, output_info, pool_info, expected) +{ + ARM_COMPUTE_EXPECT(bool(NEROIAlignLayer::validate(&input_info.clone()->set_is_resizable(true), &rois_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), pool_info)) == expected, framework::LogLevel::ERRORS); +} + +// clang-format on +// *INDENT-ON* + +template +using NEROIAlignLayerFixture = ROIAlignLayerFixture; + +TEST_SUITE(Float) +FIXTURE_DATA_TEST_CASE(SmallROIAlignLayerFloat, NEROIAlignLayerFixture, framework::DatasetMode::ALL, + framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), + framework::dataset::make("DataType", { DataType::F32 })), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) +{ + // Validate output + validate(Accessor(_target), _reference, relative_tolerance_f32, .02f, absolute_tolerance_f32); +} +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +FIXTURE_DATA_TEST_CASE(SmallROIAlignLayerHalf, NEROIAlignLayerFixture, framework::DatasetMode::ALL, + framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), + framework::dataset::make("DataType", { DataType::F16 })), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) +{ + // Validate output + validate(Accessor(_target), _reference, relative_tolerance_f16, .02f, absolute_tolerance_f16); +} +#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC + +TEST_SUITE_END() // Float + +TEST_SUITE_END() // RoiAlign +TEST_SUITE_END() // NEON +} // namespace validation +} // namespace test +} // namespace arm_compute -- cgit v1.2.1