15 template<
typename Workload>
16 void CheckInputOutput(std::unique_ptr<Workload> workload,
const TensorInfo& inputInfo,
const TensorInfo& outputInfo)
18 auto queueDescriptor = workload->GetData();
19 auto inputHandle = boost::polymorphic_downcast<RefTensorHandle*>(queueDescriptor.m_Inputs[0]);
20 auto outputHandle = boost::polymorphic_downcast<RefTensorHandle*>(queueDescriptor.m_Outputs[0]);
21 BOOST_TEST((inputHandle->GetTensorInfo() == inputInfo));
22 BOOST_TEST((outputHandle->GetTensorInfo() == outputInfo));
25 template <
typename Workload>
26 void CheckInputsOutput(std::unique_ptr<Workload> workload,
31 auto queueDescriptor = workload->GetData();
32 auto inputHandle0 = boost::polymorphic_downcast<RefTensorHandle*>(queueDescriptor.m_Inputs[0]);
33 auto inputHandle1 = boost::polymorphic_downcast<RefTensorHandle*>(queueDescriptor.m_Inputs[1]);
34 auto outputHandle = boost::polymorphic_downcast<RefTensorHandle*>(queueDescriptor.m_Outputs[0]);
35 BOOST_TEST((inputHandle0->GetTensorInfo() == inputInfo0));
36 BOOST_TEST((inputHandle1->GetTensorInfo() == inputInfo1));
37 BOOST_TEST((outputHandle->GetTensorInfo() == outputInfo));
42 std::shared_ptr<RefMemoryManager> memoryManager = std::make_shared<RefMemoryManager>();
51 template <
typename ActivationWorkloadType, armnn::DataType DataType>
52 static void RefCreateActivationWorkloadTest()
56 auto workload = CreateActivationWorkloadTest<ActivationWorkloadType, DataType>(factory, graph);
59 CheckInputOutput(std::move(workload),
66 RefCreateActivationWorkloadTest<RefActivationWorkload, armnn::DataType::Float32>();
71 RefCreateActivationWorkloadTest<RefActivationWorkload, armnn::DataType::QAsymmU8>();
74 template <
typename WorkloadType,
75 typename DescriptorType,
78 static void RefCreateElementwiseWorkloadTest()
82 auto workload = CreateElementwiseWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>(
85 CheckInputsOutput(std::move(workload),
203 template <
typename BatchNormalizationWorkloadType, armnn::DataType DataType>
204 static void RefCreateBatchNormalizationWorkloadTest(
DataLayout dataLayout)
208 auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType>(factory,
217 case DataLayout::NHWC:
218 inputShape = { 2, 4, 4, 3 };
219 outputShape = { 2, 4, 4, 3 };
221 case DataLayout::NCHW:
223 inputShape = { 2, 3, 4, 4 };
224 outputShape = { 2, 3, 4, 4 };
234 RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationWorkload,armnn::DataType::Float32>
240 RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationWorkload, armnn::DataType::Float32>
246 RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationWorkload,armnn::DataType::Float16>
252 RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationWorkload, armnn::DataType::Float16>
258 RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationWorkload, armnn::DataType::QAsymmU8>
264 RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationWorkload, armnn::DataType::QAsymmU8>
270 RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationWorkload, armnn::DataType::QSymmS16>
276 RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationWorkload, armnn::DataType::QSymmS16>
284 auto workload = CreateConvertFp16ToFp32WorkloadTest<RefConvertFp16ToFp32Workload>(factory, graph);
288 std::move(workload),
TensorInfo({1, 3, 2, 3}, DataType::Float16),
TensorInfo({1, 3, 2, 3}, DataType::Float32));
295 auto workload = CreateConvertFp32ToFp16WorkloadTest<RefConvertFp32ToFp16Workload>(factory, graph);
299 std::move(workload),
TensorInfo({1, 3, 2, 3}, DataType::Float32),
TensorInfo({1, 3, 2, 3}, DataType::Float16));
302 static void RefCreateConvolution2dWorkloadTest(
DataLayout dataLayout = DataLayout::NCHW)
306 auto workload = CreateConvolution2dWorkloadTest<RefConvolution2dWorkload, DataType::Float32>
307 (factory, graph, dataLayout);
309 TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({2, 3, 8, 16})
310 : std::initializer_list<unsigned int>({2, 8, 16, 3});
311 TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({2, 2, 2, 10})
312 : std::initializer_list<unsigned int>({2, 2, 10, 2});
315 CheckInputOutput(std::move(workload),
322 RefCreateConvolution2dWorkloadTest(DataLayout::NCHW);
327 RefCreateConvolution2dWorkloadTest(DataLayout::NHWC);
330 static void RefCreateDepthwiseConvolutionWorkloadTest(
DataLayout dataLayout)
334 auto workload = CreateDepthwiseConvolution2dWorkloadTest<RefDepthwiseConvolution2dWorkload, DataType::Float32>
335 (factory, graph, dataLayout);
337 TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 })
338 : std::initializer_list<unsigned int>({ 2, 5, 5, 2 });
339 TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 })
340 : std::initializer_list<unsigned int>({ 2, 5, 5, 2 });
343 CheckInputOutput(std::move(workload),
350 RefCreateDepthwiseConvolutionWorkloadTest(DataLayout::NHWC);
353 template <
typename FullyConnectedWorkloadType, armnn::DataType DataType>
354 static void RefCreateFullyConnectedWorkloadTest()
358 auto workload = CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, DataType>(factory, graph);
363 CheckInputOutput(std::move(workload),
370 RefCreateFullyConnectedWorkloadTest<RefFullyConnectedWorkload, armnn::DataType::Float32>();
375 RefCreateFullyConnectedWorkloadTest<RefFullyConnectedWorkload, armnn::DataType::QAsymmU8>();
380 RefCreateFullyConnectedWorkloadTest<RefFullyConnectedWorkload, armnn::DataType::QSymmS16>();
383 template <
typename NormalizationWorkloadType, armnn::DataType DataType>
384 static void RefCreateNormalizationWorkloadTest(
DataLayout dataLayout)
388 auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(factory, graph, dataLayout);
395 case DataLayout::NHWC:
396 inputShape = { 3, 1, 5, 5 };
397 outputShape = { 3, 1, 5, 5 };
399 case DataLayout::NCHW:
401 inputShape = { 3, 5, 5, 1 };
402 outputShape = { 3, 5, 5, 1 };
412 RefCreateNormalizationWorkloadTest<RefNormalizationWorkload, armnn::DataType::Float32>(DataLayout::NCHW);
417 RefCreateNormalizationWorkloadTest<RefNormalizationWorkload, armnn::DataType::Float32>(DataLayout::NHWC);
422 RefCreateNormalizationWorkloadTest<RefNormalizationWorkload, armnn::DataType::QAsymmU8>(DataLayout::NCHW);
427 RefCreateNormalizationWorkloadTest<RefNormalizationWorkload, armnn::DataType::QAsymmU8>(DataLayout::NHWC);
432 RefCreateNormalizationWorkloadTest<RefNormalizationWorkload, armnn::DataType::QSymmS16>(DataLayout::NCHW);
437 RefCreateNormalizationWorkloadTest<RefNormalizationWorkload, armnn::DataType::QSymmS16>(DataLayout::NHWC);
440 template <
typename Pooling2dWorkloadType, armnn::DataType DataType>
441 static void RefCreatePooling2dWorkloadTest(
DataLayout dataLayout)
445 auto workload = CreatePooling2dWorkloadTest<Pooling2dWorkloadType, DataType>(factory, graph, dataLayout);
452 case DataLayout::NHWC:
453 inputShape = { 3, 5, 5, 2 };
454 outputShape = { 3, 2, 4, 2 };
456 case DataLayout::NCHW:
458 inputShape = { 3, 2, 5, 5 };
459 outputShape = { 3, 2, 2, 4 };
463 CheckInputOutput(std::move(workload),
470 RefCreatePooling2dWorkloadTest<RefPooling2dWorkload, armnn::DataType::Float32>(DataLayout::NCHW);
475 RefCreatePooling2dWorkloadTest<RefPooling2dWorkload, armnn::DataType::Float32>(DataLayout::NHWC);
480 RefCreatePooling2dWorkloadTest<RefPooling2dWorkload, armnn::DataType::QAsymmU8>(DataLayout::NCHW);
485 RefCreatePooling2dWorkloadTest<RefPooling2dWorkload, armnn::DataType::QAsymmU8>(DataLayout::NHWC);
490 RefCreatePooling2dWorkloadTest<RefPooling2dWorkload, armnn::DataType::QSymmS16>(DataLayout::NCHW);
495 RefCreatePooling2dWorkloadTest<RefPooling2dWorkload, armnn::DataType::QSymmS16>(DataLayout::NHWC);
498 template <
typename SoftmaxWorkloadType, armnn::DataType DataType>
499 static void RefCreateSoftmaxWorkloadTest()
503 auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph);
514 RefCreateSoftmaxWorkloadTest<RefSoftmaxWorkload, armnn::DataType::Float32>();
519 RefCreateSoftmaxWorkloadTest<RefSoftmaxWorkload, armnn::DataType::Float16>();
524 RefCreateSoftmaxWorkloadTest<RefSoftmaxWorkload, armnn::DataType::QAsymmU8>();
529 RefCreateSoftmaxWorkloadTest<RefSoftmaxWorkload, armnn::DataType::QSymmS16>();
532 template <
typename SplitterWorkloadType, armnn::DataType DataType>
533 static void RefCreateSplitterWorkloadTest()
537 auto workload = CreateSplitterWorkloadTest<SplitterWorkloadType, DataType>(factory, graph);
541 auto inputHandle = boost::polymorphic_downcast<RefTensorHandle*>(queueDescriptor.m_Inputs[0]);
544 auto outputHandle0 = boost::polymorphic_downcast<RefTensorHandle*>(queueDescriptor.m_Outputs[0]);
547 auto outputHandle1 = boost::polymorphic_downcast<RefTensorHandle*>(queueDescriptor.m_Outputs[1]);
550 auto outputHandle2 = boost::polymorphic_downcast<RefTensorHandle*>(queueDescriptor.m_Outputs[2]);
556 RefCreateSplitterWorkloadTest<RefSplitterWorkload, armnn::DataType::Float32>();
561 RefCreateSplitterWorkloadTest<RefSplitterWorkload, armnn::DataType::Float16>();
566 RefCreateSplitterWorkloadTest<RefSplitterWorkload, armnn::DataType::QAsymmU8>();
569 template <
typename SplitterWorkloadType,
typename ConcatWorkloadType, armnn::DataType DataType>
570 static void RefCreateSplitterConcatWorkloadTest()
580 auto workloads = CreateSplitterConcatWorkloadTest<SplitterWorkloadType, ConcatWorkloadType, DataType>
583 auto wlSplitter = std::move(workloads.first);
584 auto wlConcat = std::move(workloads.second);
597 bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0);
599 BOOST_TEST(validDataPointers);
604 RefCreateSplitterConcatWorkloadTest<RefSplitterWorkload, RefConcatWorkload, DataType::Float32>();
609 RefCreateSplitterConcatWorkloadTest<RefSplitterWorkload, RefConcatWorkload, DataType::Float16>();
614 RefCreateSplitterConcatWorkloadTest<RefSplitterWorkload, RefConcatWorkload, DataType::QAsymmU8>();
617 template <
typename SplitterWorkloadType,
typename ActivationWorkloadType, armnn::DataType DataType>
618 static void RefCreateSingleOutputMultipleInputsTest()
625 std::unique_ptr<SplitterWorkloadType> wlSplitter;
626 std::unique_ptr<ActivationWorkloadType> wlActiv0_0;
627 std::unique_ptr<ActivationWorkloadType> wlActiv0_1;
628 std::unique_ptr<ActivationWorkloadType> wlActiv1_0;
629 std::unique_ptr<ActivationWorkloadType> wlActiv1_1;
631 CreateSplitterMultipleInputsOneOutputWorkloadTest<SplitterWorkloadType,
632 ActivationWorkloadType,
DataType>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, wlActiv1_0, wlActiv1_1);
644 BOOST_TEST(activ0_0Im);
645 BOOST_TEST(activ0_1Im);
646 BOOST_TEST(activ1_0Im);
647 BOOST_TEST(activ1_1Im);
649 bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) &&
650 (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im);
652 BOOST_TEST(validDataPointers);
667 template <
typename ResizeBilinearWorkloadType, armnn::DataType DataType>
668 static void RefCreateResizeBilinearTest(
DataLayout dataLayout)
672 auto workload = CreateResizeBilinearWorkloadTest<ResizeBilinearWorkloadType, DataType>(factory, graph, dataLayout);
679 case DataLayout::NHWC:
680 inputShape = { 2, 4, 4, 3 };
681 outputShape = { 2, 2, 2, 3 };
683 case DataLayout::NCHW:
685 inputShape = { 2, 3, 4, 4 };
686 outputShape = { 2, 3, 2, 2 };
690 CheckInputOutput(std::move(workload),
697 RefCreateResizeBilinearTest<RefResizeWorkload, armnn::DataType::Float32>(DataLayout::NCHW);
702 RefCreateResizeBilinearTest<RefResizeWorkload, armnn::DataType::Float16>(DataLayout::NCHW);
707 RefCreateResizeBilinearTest<RefResizeWorkload, armnn::DataType::QAsymmU8>(DataLayout::NCHW);
712 RefCreateResizeBilinearTest<RefResizeWorkload, armnn::DataType::QSymmS16>(DataLayout::NCHW);
717 RefCreateResizeBilinearTest<RefResizeWorkload, armnn::DataType::Float32>(DataLayout::NHWC);
720 template <
typename BatchToSpaceNdWorkloadType, armnn::DataType DataType>
721 static void RefCreateBatchToSpaceNdTest()
726 auto workload = CreateBatchToSpaceNdWorkloadTest<BatchToSpaceNdWorkloadType, DataType>(factory, graph);
728 CheckInputOutput(std::move(workload),
735 RefCreateBatchToSpaceNdTest<RefBatchToSpaceNdWorkload, armnn::DataType::Float32>();
740 RefCreateBatchToSpaceNdTest<RefBatchToSpaceNdWorkload, armnn::DataType::Float16>();
745 RefCreateBatchToSpaceNdTest<RefBatchToSpaceNdWorkload, armnn::DataType::QAsymmU8>();
750 RefCreateBatchToSpaceNdTest<RefBatchToSpaceNdWorkload, armnn::DataType::QSymmS16>();
753 template <
typename L2NormalizationWorkloadType, armnn::DataType DataType>
754 static void RefCreateL2NormalizationTest(
DataLayout dataLayout)
759 CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, DataType>(factory, graph, dataLayout);
766 case DataLayout::NHWC:
767 inputShape = { 5, 50, 67, 20 };
768 outputShape = { 5, 50, 67, 20 };
770 case DataLayout::NCHW:
772 inputShape = { 5, 20, 50, 67 };
773 outputShape = { 5, 20, 50, 67 };
783 RefCreateL2NormalizationTest<RefL2NormalizationWorkload, armnn::DataType::Float32>(DataLayout::NCHW);
788 RefCreateL2NormalizationTest<RefL2NormalizationWorkload, armnn::DataType::Float32>(DataLayout::NHWC);
793 RefCreateL2NormalizationTest<RefL2NormalizationWorkload, armnn::DataType::QSymmS16>(DataLayout::NCHW);
798 RefCreateL2NormalizationTest<RefL2NormalizationWorkload, armnn::DataType::QSymmS16>(DataLayout::NHWC);
803 RefCreateL2NormalizationTest<RefL2NormalizationWorkload, armnn::DataType::QAsymmU8>(DataLayout::NCHW);
808 RefCreateL2NormalizationTest<RefL2NormalizationWorkload, armnn::DataType::QAsymmU8>(DataLayout::NHWC);
811 template <
typename ReshapeWorkloadType, armnn::DataType DataType>
812 static void RefCreateReshapeWorkloadTest()
816 auto workload = CreateReshapeWorkloadTest<ReshapeWorkloadType, DataType>(factory, graph);
827 RefCreateReshapeWorkloadTest<RefReshapeWorkload, armnn::DataType::Float32>();
832 RefCreateReshapeWorkloadTest<RefReshapeWorkload, armnn::DataType::QAsymmU8>();
837 RefCreateReshapeWorkloadTest<RefReshapeWorkload, armnn::DataType::QSymmS16>();
840 template <
typename ConcatWorkloadType, armnn::DataType DataType>
842 unsigned int concatAxis)
846 auto workload = CreateConcatWorkloadTest<ConcatWorkloadType, DataType>(factory, graph, outputShape, concatAxis);
848 CheckInputsOutput(std::move(workload),
856 RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::Float32>({ 4, 3, 2, 5 }, 0);
861 RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::Float16>({ 4, 3, 2, 5 }, 0);
866 RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::QAsymmU8>({ 4, 3, 2, 5 }, 0);
871 RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::QSymmS16>({ 4, 3, 2, 5 }, 0);
876 RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::Float32>({ 2, 6, 2, 5 }, 1);
881 RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::QAsymmU8>({ 2, 6, 2, 5 }, 1);
886 RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::Float32>({ 2, 3, 4, 5 }, 2);
891 RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::QAsymmU8>({ 2, 3, 4, 5 }, 2);
896 RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::Float32>({ 2, 3, 2, 10 }, 3);
901 RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::QAsymmU8>({ 2, 3, 2, 10 }, 3);
904 template <
typename ConstantWorkloadType, armnn::DataType DataType>
909 auto workload = CreateConstantWorkloadTest<ConstantWorkloadType, DataType>(factory, graph, outputShape);
912 auto queueDescriptor = workload->GetData();
913 auto outputHandle = boost::polymorphic_downcast<RefTensorHandle*>(queueDescriptor.m_Outputs[0]);
919 RefCreateConstantWorkloadTest<RefConstantWorkload, armnn::DataType::QAsymmU8>({ 2, 3, 2, 10 });
924 RefCreateConstantWorkloadTest<RefConstantWorkload, armnn::DataType::QSymmS16>({ 2, 3, 2, 10 });
929 RefCreateConstantWorkloadTest<RefConstantWorkload, armnn::DataType::Float32>({ 2, 3, 2, 10 });
934 RefCreateConstantWorkloadTest<RefConstantWorkload, armnn::DataType::Signed32>({ 2, 3, 2, 10 });
944 auto workload = CreatePreluWorkloadTest<RefPreluWorkload>(factory,
952 auto queueDescriptor = workload->GetData();
953 auto outputHandle = boost::polymorphic_downcast<RefTensorHandle*>(queueDescriptor.m_Outputs[0]);
954 BOOST_TEST((outputHandle->GetTensorInfo() ==
TensorInfo(outputShape, dataType)));
959 RefCreatePreluWorkloadTest({ 1, 4, 1, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 },
armnn::DataType::Float32);
964 RefCreatePreluWorkloadTest({ 1, 4, 1, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 },
armnn::DataType::Float16);
969 RefCreatePreluWorkloadTest({ 1, 4, 1, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 },
armnn::DataType::QAsymmU8);
974 RefCreatePreluWorkloadTest({ 1, 4, 1, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 },
armnn::DataType::QSymmS16);
979 BOOST_CHECK_THROW(RefCreatePreluWorkloadTest({ 1, 4, 7, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 },
986 BOOST_CHECK_THROW(RefCreatePreluWorkloadTest({ 1, 4, 7, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 },
993 BOOST_CHECK_THROW(RefCreatePreluWorkloadTest({ 1, 4, 7, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 },
1000 BOOST_CHECK_THROW(RefCreatePreluWorkloadTest({ 1, 4, 7, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 },
1005 template <
typename SpaceToDepthWorkloadType, armnn::DataType DataType>
1006 static void RefCreateSpaceToDepthWorkloadTest()
1011 auto workload = CreateSpaceToDepthWorkloadTest<SpaceToDepthWorkloadType, DataType>(factory, graph);
1013 CheckInputOutput(std::move(workload),
1020 RefCreateSpaceToDepthWorkloadTest<RefSpaceToDepthWorkload, armnn::DataType::Float32>();
1025 RefCreateSpaceToDepthWorkloadTest<RefSpaceToDepthWorkload, armnn::DataType::Float16>();
1030 RefCreateSpaceToDepthWorkloadTest<RefSpaceToDepthWorkload, armnn::DataType::QAsymmU8>();
1035 RefCreateSpaceToDepthWorkloadTest<RefSpaceToDepthWorkload, armnn::DataType::QSymmS16>();
1038 template <armnn::DataType DataType>
1042 unsigned int numInputs)
1046 auto workload = CreateStackWorkloadTest<RefStackWorkload, DataType>(factory,
1055 for (
unsigned int i = 0; i < numInputs; ++i)
1057 auto inputHandle = boost::polymorphic_downcast<RefTensorHandle*>(queueDescriptor.m_Inputs[i]);
1060 auto outputHandle = boost::polymorphic_downcast<RefTensorHandle*>(queueDescriptor.m_Outputs[0]);
1066 RefCreateStackWorkloadTest<armnn::DataType::Float32>({ 3, 4, 5 }, { 3, 4, 2, 5 }, 2, 2);
1071 RefCreateStackWorkloadTest<armnn::DataType::QAsymmU8>({ 3, 4, 5 }, { 3, 4, 2, 5 }, 2, 2);
1076 RefCreateStackWorkloadTest<armnn::DataType::QSymmS16>({ 3, 4, 5 }, { 3, 4, 2, 5 }, 2, 2);
This layer represents a subtraction operation.
RefElementwiseWorkload< std::plus< float >, AdditionQueueDescriptor, StringMapping::RefAdditionWorkload_Execute > RefAdditionWorkload
BOOST_AUTO_TEST_CASE(CreateActivationFloat32Workload)
This layer represents a multiplication operation.
RefElementwiseWorkload< std::multiplies< float >, MultiplicationQueueDescriptor, StringMapping::RefMultiplicationWorkload_Execute > RefMultiplicationWorkload
RefElementwiseWorkload< std::divides< float >, DivisionQueueDescriptor, StringMapping::RefDivisionWorkload_Execute > RefDivisionWorkload
This layer represents a division operation.
RefElementwiseWorkload< std::minus< float >, SubtractionQueueDescriptor, StringMapping::RefSubtractionWorkload_Execute > RefSubtractionWorkload
BOOST_AUTO_TEST_SUITE_END()
This layer represents an addition operation.
BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)