/* * 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/NEBoundingBoxTransform.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/ShapeDatasets.h" #include "tests/framework/Macros.h" #include "tests/framework/datasets/Datasets.h" #include "tests/validation/Validation.h" #include "tests/validation/fixtures/BoundingBoxTransformFixture.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(half(0.2)); AbsoluteTolerance absolute_tolerance_f16(half(0.02f)); #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC constexpr AbsoluteTolerance tolerance_qasymm16(1); // *INDENT-OFF* // clang-format off const auto BboxInfoDataset = framework::dataset::make("BboxInfo", { BoundingBoxTransformInfo(20U, 20U, 2U, true), BoundingBoxTransformInfo(128U, 128U, 4U, true), BoundingBoxTransformInfo(800U, 600U, 1U, false), BoundingBoxTransformInfo(800U, 600U, 2U, true, { { 1.0, 0.5, 1.5, 2.0 } }), BoundingBoxTransformInfo(800U, 600U, 4U, false, { { 1.0, 0.5, 1.5, 2.0 } }), BoundingBoxTransformInfo(800U, 600U, 4U, false, { { 1.0, 0.5, 1.5, 2.0 } }, true) }); const auto DeltaDataset = framework::dataset::make("DeltasShape", { TensorShape(36U, 1U), TensorShape(36U, 2U), TensorShape(36U, 2U), TensorShape(40U, 1U), TensorShape(40U, 20U), TensorShape(40U, 100U), TensorShape(40U, 200U) }); // clang-format on // *INDENT-ON* } // namespace TEST_SUITE(NEON) TEST_SUITE(BBoxTransform) // *INDENT-OFF* // clang-format off DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( framework::dataset::make("BoxesInfo", { TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), TensorInfo(TensorShape(5U, 128U), 1, DataType::F32), // Wrong number of box fields TensorInfo(TensorShape(4U, 128U), 1, DataType::F16), // Wrong data type TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), // Wrong number of classes TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), // Deltas and predicted boxes have different dimensions TensorInfo(TensorShape(4U, 128U), 1, DataType::F32)}), // Scaling is zero framework::dataset::make("PredBoxesInfo",{ TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(127U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})), framework::dataset::make("DeltasInfo", { TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(127U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})), framework::dataset::make("BoundingBoxTransofmInfo", { BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 0.f)})), framework::dataset::make("Expected", { true, false, false, false, false, false})), boxes_info, pred_boxes_info, deltas_info, bbox_info, expected) { ARM_COMPUTE_EXPECT(bool(NEBoundingBoxTransform::validate(&boxes_info.clone()->set_is_resizable(true), &pred_boxes_info.clone()->set_is_resizable(true), &deltas_info.clone()->set_is_resizable(true), bbox_info)) == expected, framework::LogLevel::ERRORS); } // clang-format on // *INDENT-ON* template using NEBoundingBoxTransformFixture = BoundingBoxTransformFixture; TEST_SUITE(Float) TEST_SUITE(FP32) FIXTURE_DATA_TEST_CASE(BoundingBox, NEBoundingBoxTransformFixture, framework::DatasetMode::ALL, combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make("DataType", { DataType::F32 }))) { // Validate output validate(Accessor(_target), _reference, relative_tolerance_f32, 0.f, absolute_tolerance_f32); } TEST_SUITE_END() // FP32 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_SUITE(FP16) FIXTURE_DATA_TEST_CASE(BoundingBox, NEBoundingBoxTransformFixture, framework::DatasetMode::ALL, combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make("DataType", { DataType::F16 }))) { // Validate output validate(Accessor(_target), _reference, relative_tolerance_f16, 0.03f, absolute_tolerance_f16); } TEST_SUITE_END() // FP16 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_SUITE_END() // Float TEST_SUITE(Quantized) TEST_SUITE(QASYMM16) template using NEBoundingBoxTransformQuantizedFixture = BoundingBoxTransformQuantizedFixture; FIXTURE_DATA_TEST_CASE(BoundingBox, NEBoundingBoxTransformQuantizedFixture, framework::DatasetMode::ALL, combine(combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make("DataType", { DataType::QASYMM16 })), framework::dataset::make("DeltasQuantInfo", { QuantizationInfo(0.125f, 0) }))) { // Validate output validate(Accessor(_target), _reference, tolerance_qasymm16); } TEST_SUITE_END() // QASYMM16 TEST_SUITE_END() // Quantized TEST_SUITE_END() // BBoxTransform TEST_SUITE_END() // NEON } // namespace validation } // namespace test } // namespace arm_compute