/* * Copyright (c) 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/runtime/CL/CLScheduler.h" #include "arm_compute/runtime/CL/functions/CLROIPoolingLayer.h" #include "tests/CL/CLAccessor.h" #include "tests/Globals.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/ROIPoolingLayerFixture.h" namespace arm_compute { namespace test { namespace validation { namespace { RelativeTolerance relative_tolerance_f32(0.01f); AbsoluteTolerance absolute_tolerance_f32(0.001f); constexpr AbsoluteTolerance tolerance_qasymm8(1); } // end namespace TEST_SUITE(CL) TEST_SUITE(RoiPooling) // *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), // Successful test TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::QASYMM8), // Successful test (quantized) TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Incorrect rois type 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::U16), TensorInfo(TensorShape(5, 4U), 1, DataType::U16), TensorInfo(TensorShape(5, 4U), 1, DataType::F16), TensorInfo(TensorShape(5, 4U), 1, DataType::U16), TensorInfo(TensorShape(5, 4U), 1, DataType::U16), TensorInfo(TensorShape(5, 10U), 1, DataType::U16), TensorInfo(TensorShape(4, 4U), 1, DataType::U16), TensorInfo(TensorShape(5, 4U), 1, DataType::U16), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::QASYMM8), 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), ROIPoolingLayerInfo(7U, 7U, 1./8), })), framework::dataset::make("Expected", { true, true, false, false, false, false, false })), input_info, rois_info, output_info, pool_info, expected) { ARM_COMPUTE_EXPECT(bool(CLROIPoolingLayer::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); } using CLROIPoolingLayerFloatFixture = ROIPoolingLayerFixture; TEST_SUITE(Float) FIXTURE_DATA_TEST_CASE(Small, CLROIPoolingLayerFloatFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), framework::dataset::make("DataType", { DataType::F32 })), framework::dataset::make("DataLayout", { DataLayout::NCHW }))) { // Validate output validate(CLAccessor(_target), _reference, relative_tolerance_f32, .02f, absolute_tolerance_f32); } TEST_SUITE_END() // Float test suite end // Begin quantized tests template using CLROIPoolingLayerQuantizedFixture = ROIPoolingLayerQuantizedFixture; TEST_SUITE(QASYMM8) FIXTURE_DATA_TEST_CASE(Small, CLROIPoolingLayerQuantizedFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallROIDataset(), framework::dataset::make("DataType", { DataType::QASYMM8 })), framework::dataset::make("DataLayout", { DataLayout::NCHW })), framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 127) })), framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(2.f / 255.f, 120) }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_qasymm8); } TEST_SUITE_END() // end qasymm8 tests TEST_SUITE_END() // RoiPooling TEST_SUITE_END() // NEON } // validation namespace end } // test namespace end } // arm_compute namespace end