Index

Symbols

"Hot Topic" How-To Links page 3D Human Pose Estimation Python* Demo page 3D Segmentation Python* Demo page <a href="https://software.intel.com/en-us/openvino-toolkit" >OpenVINO<sup>&#8482;</sup> Toolkit</a> - DL Streamer repository page [DEPRECATED] Configuration Guide for the Intel® Distribution of OpenVINO™ toolkit 2020.4 and the Intel® Vision Accelerator Design with an Intel® Arria® 10 FPGA SG2 (IEI's Mustang-F100-A10) on Linux* page [DEPRECATED] Configuration Guide for the Intel® Distribution of OpenVINO™ toolkit and the Intel® Vision Accelerator Design with an Intel® Arria® 10 FPGA SG2 (IEI's Mustang-F100-A10) on Windows* page [DEPRECATED] Convert ONNX* DLRM to the Intermediate Representation page

[DEPRECATED] Extending Model Optimizer with New Primitives page [DEPRECATED] Intermediate Representation Notation Reference Catalog page [DEPRECATED] Legacy Mode for Caffe* Custom Layers page [DEPRECATED] Migration from Inference Engine Plugin API to Core API page [DEPRECATED] ONNX* Importer API Tutorial page [DEPRECATED] Sub-Graph Replacement in the Model Optimizer page

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__init__() (_pyngraph.AxisSet method) (_pyngraph.AxisVector method) (_pyngraph.Coordinate method) (_pyngraph.CoordinateDiff method) (_pyngraph.Dimension method) (_pyngraph.Function method) (_pyngraph.Input method) (_pyngraph.Node method) (_pyngraph.NodeFactory method) (_pyngraph.Output method) (_pyngraph.PartialShape method) (_pyngraph.PyRTMap method) (_pyngraph.Shape method) (_pyngraph.Strides method) (_pyngraph.Type method) (_pyngraph.Variant method) (_pyngraph.VariantInt method) (_pyngraph.VariantString method) (ngraph.Function method) (ngraph.helpers.Function method) (ngraph.helpers.IENetwork method) (ngraph.impl.AxisSet method) (ngraph.impl.AxisVector method) (ngraph.impl.Coordinate method) (ngraph.impl.CoordinateDiff method) (ngraph.impl.Dimension method) (ngraph.impl.Function method) (ngraph.impl.Input method) (ngraph.impl.Node method) (ngraph.impl.op.Constant method) (ngraph.impl.op.Parameter method) (ngraph.impl.Output method) (ngraph.impl.PartialShape method) (ngraph.impl.passes.Manager method) (ngraph.impl.Shape method) (ngraph.impl.Strides method) (ngraph.impl.Type method) (ngraph.Node method) (ngraph.opset1.ops.Constant method) (ngraph.opset1.ops.GraphBody method) (ngraph.opset1.ops.Node method) (ngraph.opset1.ops.NodeFactory method) (ngraph.opset1.ops.Parameter method) (ngraph.opset1.ops.partial method) (ngraph.opset1.ops.PartialShape method) (ngraph.opset1.ops.Shape method) (ngraph.opset1.ops.TensorIteratorBodyOutputDesc method) (ngraph.opset1.ops.TensorIteratorConcatOutputDesc method) (ngraph.opset1.ops.TensorIteratorInvariantInputDesc method) (ngraph.opset1.ops.TensorIteratorMergedInputDesc method) (ngraph.opset1.ops.TensorIteratorSliceInputDesc method) (ngraph.opset2.ops.Constant method) (ngraph.opset2.ops.GraphBody method) (ngraph.opset2.ops.Node method) (ngraph.opset2.ops.NodeFactory method) (ngraph.opset2.ops.Parameter method) (ngraph.opset2.ops.partial method) (ngraph.opset2.ops.Shape method) (ngraph.opset2.ops.TensorIteratorBodyOutputDesc method) (ngraph.opset2.ops.TensorIteratorConcatOutputDesc method) (ngraph.opset2.ops.TensorIteratorInvariantInputDesc method) (ngraph.opset2.ops.TensorIteratorMergedInputDesc method) (ngraph.opset2.ops.TensorIteratorSliceInputDesc method) (ngraph.opset3.ops.Constant method) (ngraph.opset3.ops.GraphBody method) (ngraph.opset3.ops.Node method) (ngraph.opset3.ops.NodeFactory method) (ngraph.opset3.ops.Parameter method) (ngraph.opset3.ops.partial method) (ngraph.opset3.ops.Shape method) (ngraph.opset3.ops.TensorIteratorBodyOutputDesc method) (ngraph.opset3.ops.TensorIteratorConcatOutputDesc method) (ngraph.opset3.ops.TensorIteratorInvariantInputDesc method) (ngraph.opset3.ops.TensorIteratorMergedInputDesc method) (ngraph.opset3.ops.TensorIteratorSliceInputDesc method) (ngraph.opset4.ops.Constant method) (ngraph.opset4.ops.GraphBody method) (ngraph.opset4.ops.Node method) (ngraph.opset4.ops.NodeFactory method) (ngraph.opset4.ops.Parameter method) (ngraph.opset4.ops.partial method) (ngraph.opset4.ops.Shape method) (ngraph.opset4.ops.TensorIteratorBodyOutputDesc method) (ngraph.opset4.ops.TensorIteratorConcatOutputDesc method) (ngraph.opset4.ops.TensorIteratorInvariantInputDesc method) (ngraph.opset4.ops.TensorIteratorMergedInputDesc method) (ngraph.opset4.ops.TensorIteratorSliceInputDesc method) (ngraph.opset5.ops.Constant method) (ngraph.opset5.ops.GraphBody method) (ngraph.opset5.ops.Node method) (ngraph.opset5.ops.NodeFactory method) (ngraph.opset5.ops.Parameter method) (ngraph.opset5.ops.partial method) (ngraph.opset5.ops.Shape method) (ngraph.opset5.ops.TensorIteratorBodyOutputDesc method) (ngraph.opset5.ops.TensorIteratorConcatOutputDesc method) (ngraph.opset5.ops.TensorIteratorInvariantInputDesc method) (ngraph.opset5.ops.TensorIteratorMergedInputDesc method) (ngraph.opset5.ops.TensorIteratorSliceInputDesc method) (ngraph.opset6.ops.Constant method) (ngraph.opset6.ops.GraphBody method) (ngraph.opset6.ops.Node method) (ngraph.opset6.ops.NodeFactory method) (ngraph.opset6.ops.Parameter method) (ngraph.opset6.ops.partial method) (ngraph.opset6.ops.Shape method) (ngraph.opset6.ops.TensorIteratorBodyOutputDesc method) (ngraph.opset6.ops.TensorIteratorConcatOutputDesc method) (ngraph.opset6.ops.TensorIteratorInvariantInputDesc method) (ngraph.opset6.ops.TensorIteratorMergedInputDesc method) (ngraph.opset6.ops.TensorIteratorSliceInputDesc method) (ngraph.opset7.ops.Constant method) (ngraph.opset7.ops.GraphBody method) (ngraph.opset7.ops.Node method) (ngraph.opset7.ops.NodeFactory method) (ngraph.opset7.ops.Parameter method) (ngraph.opset7.ops.partial method) (ngraph.opset7.ops.Shape method) (ngraph.opset7.ops.TensorIteratorBodyOutputDesc method) (ngraph.opset7.ops.TensorIteratorConcatOutputDesc method) (ngraph.opset7.ops.TensorIteratorInvariantInputDesc method) (ngraph.opset7.ops.TensorIteratorMergedInputDesc method) (ngraph.opset7.ops.TensorIteratorSliceInputDesc method) (ngraph.opset_utils.Node method) (ngraph.opset_utils.NodeFactory method) (ngraph.utils.broadcasting.AxisSet method) (ngraph.utils.broadcasting.Node method) (ngraph.utils.decorators.Node method) (ngraph.utils.node_factory.Node method) (ngraph.utils.node_factory.NodeFactory method) (ngraph.utils.node_factory.Output method) (ngraph.utils.node_factory.partial method) (ngraph.utils.reduction.Node method) (ngraph.utils.tensor_iterator_types.GraphBody method) (ngraph.utils.tensor_iterator_types.Node method) (ngraph.utils.tensor_iterator_types.Parameter method) (ngraph.utils.tensor_iterator_types.TensorIteratorBodyOutputDesc method) (ngraph.utils.tensor_iterator_types.TensorIteratorConcatOutputDesc method) (ngraph.utils.tensor_iterator_types.TensorIteratorInputDesc method) (ngraph.utils.tensor_iterator_types.TensorIteratorInvariantInputDesc method) (ngraph.utils.tensor_iterator_types.TensorIteratorMergedInputDesc method) (ngraph.utils.tensor_iterator_types.TensorIteratorOutputDesc method) (ngraph.utils.tensor_iterator_types.TensorIteratorSliceInputDesc method) (ngraph.utils.types.Constant method) (ngraph.utils.types.Node method) (ngraph.utils.types.Output method) (ngraph.utils.types.Shape method) (openvino.inference_engine.Blob method) (openvino.inference_engine.BlobBuffer method) (openvino.inference_engine.CDataPtr method) (openvino.inference_engine.ColorFormat method) (openvino.inference_engine.DataPtr method) (openvino.inference_engine.ExecutableNetwork method) (openvino.inference_engine.IECore method) (openvino.inference_engine.IENetwork method) (openvino.inference_engine.InferRequest method) (openvino.inference_engine.InputInfoCPtr method) (openvino.inference_engine.InputInfoPtr method) (openvino.inference_engine.MeanVariant method) (openvino.inference_engine.PreProcessChannel method) (openvino.inference_engine.PreProcessInfo method) (openvino.inference_engine.ResizeAlgorithm method) (openvino.inference_engine.StatusCode method) (openvino.inference_engine.TensorDesc method) (openvino.inference_engine.VariableState method) (openvino.inference_engine.WaitMode method)

_name variable _pyngraph module _streams variable _threadBindingOffset variable _threadBindingStep variable _threadBindingType variable _threadPreferredCoreType variable _threads variable _threadsPerStream variable

A

Abs function, [1] page abs() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) absolute() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) absoluteFilePath function Accuracy Configuration page AccuracyAwareQuantization Algorithm page aclnet page aclnet-int8 page Acos function, [1] page acos() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Acosh function, [1] page acosh() (in module ngraph) (in module ngraph.opset4) (in module ngraph.opset4.ops) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Action Recognition Python* Demo page Action Recognition Sample (gst-launch command line) page action-recognition-0001 (composite) page Adapters page Add function, [1] page add() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) add_control_dependency function add_extension() (openvino.inference_engine.IECore method) add_matcher function, [1] add_node function add_node_control_dependencies function add_node_control_dependents function add_outputs() (ngraph.helpers.IENetwork method) (openvino.inference_engine.IENetwork method) add_parameters function add_provenance_group_member function add_provenance_group_members_above function add_provenance_tags_above function add_results function add_sinks function add_variables function AddExtension function, [1], [2] addOutput function, [1] Advanced DL Workbench Configurations page Age and Gender Recognition via REST API page age-gender-recognition-retail-0013 page alexnet page all_non_negative function all_non_negative() (_pyngraph.PartialShape property) (ngraph.impl.PartialShape property) (ngraph.opset1.ops.PartialShape property) alloc function allocate function, [1], [2], [3] Annotation Converters page anti-spoof-mn3 page ANY enumvalue Any function, [1] AnyOf function, [1] AnyOutput function API Reference Guide page API usage sample for classification task page API usage sample for face detection task page API usage sample for object_detection page API usage sample for segmentation task page, [1] API usage sample for speech task on GNA page api_version variable

ApiVersion function, [1], [2] apiVersion variable Architecture page args (ngraph.opset1.ops.partial attribute) (ngraph.opset2.ops.partial attribute) (ngraph.opset3.ops.partial attribute) (ngraph.opset4.ops.partial attribute) (ngraph.opset5.ops.partial attribute) (ngraph.opset6.ops.partial attribute) (ngraph.opset7.ops.partial attribute) (ngraph.utils.node_factory.partial attribute) as function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] as_enum function, [1] as_node() (in module ngraph.opset1.ops) (in module ngraph.opset2.ops) (in module ngraph.opset3.ops) (in module ngraph.opset4.ops) (in module ngraph.opset5.ops) (in module ngraph.opset6.ops) (in module ngraph.opset7.ops) (in module ngraph.opset_utils) (in module ngraph.utils.decorators) (in module ngraph.utils.types) as_nodes() (in module ngraph.opset1.ops) (in module ngraph.opset2.ops) (in module ngraph.opset3.ops) (in module ngraph.opset4.ops) (in module ngraph.opset5.ops) (in module ngraph.opset6.ops) (in module ngraph.opset7.ops) (in module ngraph.utils.decorators) (in module ngraph.utils.types) as_result_vector function as_string function, [1] Asin function, [1] page asin() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Asinh function, [1] page asinh() (in module ngraph) (in module ngraph.opset4) (in module ngraph.opset4.ops) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) asl-recognition-0004 page assert_list_of_ints() (in module ngraph.opset2.ops) (in module ngraph.opset3.ops) (in module ngraph.opset4.ops) (in module ngraph.opset5.ops) (in module ngraph.opset6.ops) (in module ngraph.opset7.ops) (in module ngraph.utils.input_validation) Assign function, [1] page assign() (in module ngraph) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset6.ops) (in module ngraph.opset7) AssignBase function asVariant function async_infer() (openvino.inference_engine.InferRequest method) Asynchronous Inference Request page Asynchronous Inference Request base classes group AsyncInferRequestThreadSafeDefault function Atan function, [1] page atan() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Atanh function, [1] page atanh() (in module ngraph) (in module ngraph.opset4) (in module ngraph.opset4.ops) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Audio Detection Sample (gst-launch command line) page Auto-Device Plugin page AUTO_CONFIG_KEY define AutoBroadcastType enum Automatic Speech Recognition C++ Sample page Automatic Speech Recognition Python* Sample page Available Operations Sets page available_devices (openvino.inference_engine.IECore attribute) avg_pool() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) AvgPool function, [1] page AxisSet (class in _pyngraph) (class in ngraph.impl) (class in ngraph.utils.broadcasting) AxisVector (class in _pyngraph) (class in ngraph.impl)

B

Bare Metal and Virtual Hosts page Batch Processing in OpenVINO™ Model Server page batch_norm_inference() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset5.ops) (in module ngraph.opset6) (in module ngraph.opset7) batch_size (ngraph.helpers.IENetwork attribute) (openvino.inference_engine.IENetwork attribute) batch_to_space() (in module ngraph) (in module ngraph.opset2) (in module ngraph.opset2.ops) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) BatchedBlob function, [1] BatchNormInference function, [1] page, [1] BatchToSpace function page begin function, [1], [2], [3] Benchmark C++ Tool page Benchmark Python* Tool page Benchmark Sample page BERT Named Entity Recognition Python* Demo page BERT Question Answering Embedding Python* Demo page BERT Question Answering Python* Demo page bert-base-ner page bert-large-uncased-whole-word-masking-squad-0001 page bert-large-uncased-whole-word-masking-squad-emb-0001 page bert-large-uncased-whole-word-masking-squad-int8-0001 page bert-small-uncased-whole-word-masking-squad-0001 page bert-small-uncased-whole-word-masking-squad-0002 page bert-small-uncased-whole-word-masking-squad-emb-int8-0001 page bert-small-uncased-whole-word-masking-squad-int8-0002 page BF16 enumvalue Bfloat16 Inference page BGR enumvalue BGRX enumvalue BIN enumvalue, [1] binary_convolution() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) binary_op() (in module ngraph.opset1.ops) (in module ngraph.opset2.ops) (in module ngraph.opset3.ops) (in module ngraph.opset4.ops) (in module ngraph.opset5.ops) (in module ngraph.opset6.ops) (in module ngraph.opset7.ops) (in module ngraph.utils.decorators)

BinaryConvolution function, [1] page BinaryConvolutionMode enum bitsSize variable Blob function group Blob (class in openvino.inference_engine) Blob creation and memory utilities group blob_copy function BlobBuffer (class in openvino.inference_engine) BlobFactory class BlobMap typedef BLOCKED enumvalue BlockingDesc function, [1], [2], [3], [4], [5] BodyOutputDescription function BOOL enumvalue BoxEncodingType enum, [1], [2] brain-tumor-segmentation-0001 page brain-tumor-segmentation-0002 page Broadcast function, [1], [2], [3], [4], [5] page, [1] Broadcast Rules For Elementwise Operations page broadcast() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) broadcast_merge function broadcast_merge_into function BroadcastType enum Bucketize function page bucketize() (in module ngraph) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) buffer (openvino.inference_engine.Blob attribute) Build Extension Library Using CMake* page Build nGraph Function page Build Plugin Using CMake* page Build Your Application with Deployment Package page Building a Face Analytics Pipeline page buildNumber variable byteSize function, [1], [2]

C

C enumvalue C++ Client for Predictions page caffenet page Callback typedef Cancel function, [1], [2], [3] cast_vector function cbegin function CDataPtr typedef CDataPtr (class in openvino.inference_engine) ceil() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Ceiling function, [1] page ceiling() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) cend function check_for_cycles function check_valid_attribute() (in module ngraph.utils.input_validation) check_valid_attributes() (in module ngraph.opset1.ops) (in module ngraph.opset2.ops) (in module ngraph.opset3.ops) (in module ngraph.opset4.ops) (in module ngraph.opset5.ops) (in module ngraph.opset6.ops) (in module ngraph.opset7.ops) (in module ngraph.utils.input_validation) checkBlob function checkBlobs function checkOpenMpEnvVars function CheckOperatorEqual namespace CHW enumvalue Clamp function page clamp() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) class BlobFactory ConvertReduceBase ExecGraphInfoSerialization::ExecutionNode InferenceEngine::AsyncInferRequestThreadSafeDefault InferenceEngine::BatchedBlob InferenceEngine::Blob InferenceEngine::BlockingDesc InferenceEngine::CNNNetwork InferenceEngine::CompoundBlob InferenceEngine::Core InferenceEngine::CPUStreamsExecutor InferenceEngine::Data InferenceEngine::DeviceIDParser InferenceEngine::ExecutableNetwork InferenceEngine::ExecutableNetworkThreadSafeDefault InferenceEngine::Extension InferenceEngine::gpu::ClBlob InferenceEngine::gpu::ClBufferBlob InferenceEngine::gpu::ClContext InferenceEngine::gpu::ClImage2DBlob InferenceEngine::gpu::D3DBufferBlob InferenceEngine::gpu::D3DContext InferenceEngine::gpu::D3DSurface2DBlob InferenceEngine::gpu::VAContext InferenceEngine::gpu::VASurfaceBlob InferenceEngine::I420Blob InferenceEngine::IExecutableNetwork InferenceEngine::IExtension InferenceEngine::IInferencePlugin::VersionStore InferenceEngine::IInferRequest InferenceEngine::ImmediateExecutor InferenceEngine::InferRequest InferenceEngine::InputInfo InferenceEngine::LockedMemory InferenceEngine::LockedMemory<const T> InferenceEngine::LockedMemory<void> InferenceEngine::MemoryBlob InferenceEngine::NV12Blob InferenceEngine::Parameter InferenceEngine::Precision InferenceEngine::PreProcessInfo InferenceEngine::RemoteBlob InferenceEngine::RemoteContext InferenceEngine::TBlob InferenceEngine::TensorDesc InferenceEngine::VariableState ngraph::AttributeAdapter ngraph::AttributeAdapter<AxisSet> ngraph::AttributeAdapter<AxisVector> ngraph::AttributeAdapter<bool> ngraph::AttributeAdapter<Coordinate> ngraph::AttributeAdapter<CoordinateDiff> ngraph::AttributeAdapter<double> ngraph::AttributeAdapter<element::Type> ngraph::AttributeAdapter<element::Type_t> ngraph::AttributeAdapter<float> ngraph::AttributeAdapter<int16_t> ngraph::AttributeAdapter<int32_t> ngraph::AttributeAdapter<int64_t> ngraph::AttributeAdapter<int8_t> ngraph::AttributeAdapter<NodeVector> ngraph::AttributeAdapter<op::AutoBroadcastSpec> ngraph::AttributeAdapter<op::AutoBroadcastType> ngraph::AttributeAdapter<op::BroadcastModeSpec> ngraph::AttributeAdapter<op::BroadcastType> ngraph::AttributeAdapter<op::EpsMode> ngraph::AttributeAdapter<op::FrameworkNodeAttrs> ngraph::AttributeAdapter<op::GeluApproximationMode> ngraph::AttributeAdapter<op::LSTMWeightsFormat> ngraph::AttributeAdapter<op::MVNEpsMode> ngraph::AttributeAdapter<op::PadMode> ngraph::AttributeAdapter<op::PadType> ngraph::AttributeAdapter<op::RecurrentSequenceDirection> ngraph::AttributeAdapter<op::RoundingType> ngraph::AttributeAdapter<op::TopKMode> ngraph::AttributeAdapter<op::TopKSortType> ngraph::AttributeAdapter<op::v0::DepthToSpace::DepthToSpaceMode> ngraph::AttributeAdapter<op::v0::Interpolate::InterpolateMode> ngraph::AttributeAdapter<op::v0::SpaceToDepth::SpaceToDepthMode> ngraph::AttributeAdapter<op::v1::BinaryConvolution::BinaryConvolutionMode> ngraph::AttributeAdapter<op::v1::NonMaxSuppression::BoxEncodingType> ngraph::AttributeAdapter<op::v1::Reverse::Mode> ngraph::AttributeAdapter<op::v3::NonMaxSuppression::BoxEncodingType> ngraph::AttributeAdapter<op::v3::ROIAlign::PoolingMode> ngraph::AttributeAdapter<op::v4::Interpolate::CoordinateTransformMode> ngraph::AttributeAdapter<op::v4::Interpolate::InterpolateMode> ngraph::AttributeAdapter<op::v4::Interpolate::NearestMode> ngraph::AttributeAdapter<op::v4::Interpolate::ShapeCalcMode> ngraph::AttributeAdapter<op::v5::Loop::SpecialBodyPorts> ngraph::AttributeAdapter<op::v5::NonMaxSuppression::BoxEncodingType> ngraph::AttributeAdapter<op::v5::Round::RoundMode> ngraph::AttributeAdapter<ParameterVector> ngraph::AttributeAdapter<PartialShape> ngraph::AttributeAdapter<reduction::Type> ngraph::AttributeAdapter<ResultVector> ngraph::AttributeAdapter<Shape> ngraph::AttributeAdapter<std::shared_ptr<Function>> ngraph::AttributeAdapter<std::shared_ptr<Node>> ngraph::AttributeAdapter<std::shared_ptr<runtime::AlignedBuffer>> ngraph::AttributeAdapter<std::shared_ptr<Variable>> ngraph::AttributeAdapter<std::string> ngraph::AttributeAdapter<std::vector<double>> ngraph::AttributeAdapter<std::vector<float>> ngraph::AttributeAdapter<std::vector<int16_t>> ngraph::AttributeAdapter<std::vector<int32_t>> ngraph::AttributeAdapter<std::vector<int64_t>> ngraph::AttributeAdapter<std::vector<int8_t>> ngraph::AttributeAdapter<std::vector<std::shared_ptr<ngraph::op::util::SubGraphOp::InputDescription>>> ngraph::AttributeAdapter<std::vector<std::shared_ptr<ngraph::op::util::SubGraphOp::OutputDescription>>> ngraph::AttributeAdapter<std::vector<std::string>> ngraph::AttributeAdapter<std::vector<uint16_t>> ngraph::AttributeAdapter<std::vector<uint32_t>> ngraph::AttributeAdapter<std::vector<uint64_t>> ngraph::AttributeAdapter<std::vector<uint8_t>> ngraph::AttributeAdapter<Strides> ngraph::AttributeAdapter<uint16_t> ngraph::AttributeAdapter<uint32_t> ngraph::AttributeAdapter<uint64_t> ngraph::AttributeAdapter<uint8_t> ngraph::AttributeVisitor ngraph::AxisSet ngraph::AxisVector ngraph::bfloat16 ngraph::CheckFailure ngraph::ConstString ngraph::Coordinate ngraph::CoordinateDiff ngraph::DequantizationAttr ngraph::descriptor::Input ngraph::descriptor::Output ngraph::descriptor::Tensor ngraph::Dimension ngraph::DirectValueAccessor ngraph::element::Type ngraph::EnumAttributeAdapterBase ngraph::EnumMask ngraph::EnumNames ngraph::Evaluator ngraph::Evaluator::ExecuteInst ngraph::Evaluator::Inst ngraph::Evaluator::ValueInst ngraph::FactoryAttributeAdapter ngraph::FactoryRegistry ngraph::float16 ngraph::Function ngraph::FusedNames ngraph::IndirectScalarValueAccessor ngraph::IndirectVectorValueAccessor ngraph::Input ngraph::Input<const Node> ngraph::Input<Node> ngraph::Interval ngraph::Logger ngraph::LogHelper ngraph::ngraph_error ngraph::Node ngraph::NodeValidationFailure ngraph::onnx_import::Node ngraph::op::AssignBase ngraph::op::ConvolutionIE ngraph::op::DeconvolutionIE ngraph::op::FrameworkNode ngraph::op::FrameworkNodeAttrs ngraph::op::internal::NonMaxSuppressionIEInternal ngraph::op::Op ngraph::op::ReadValueBase ngraph::op::Sink ngraph::op::TemporaryReplaceOutputType ngraph::op::TypeRelaxed ngraph::op::TypeRelaxedBase ngraph::op::util::ActivationFunction ngraph::op::util::ArithmeticReduction ngraph::op::util::ArithmeticReductionKeepDims ngraph::op::util::BinaryElementwiseArithmetic ngraph::op::util::BinaryElementwiseComparison ngraph::op::util::BinaryElementwiseLogical ngraph::op::util::BroadcastBase ngraph::op::util::EmbeddingBagOffsetsBase ngraph::op::util::EmbeddingBagPackedBase ngraph::op::util::FFTBase ngraph::op::util::GatherBase ngraph::op::util::IndexReduction ngraph::op::util::LogicalReduction ngraph::op::util::LogicalReductionKeepDims ngraph::op::util::OpAnnotations ngraph::op::util::RNNCellBase ngraph::op::util::ScatterBase ngraph::op::util::ScatterNDBase ngraph::op::util::SubGraphOp ngraph::op::util::SubGraphOp::BodyOutputDescription ngraph::op::util::SubGraphOp::ConcatOutputDescription ngraph::op::util::SubGraphOp::InputDescription ngraph::op::util::SubGraphOp::InvariantInputDescription ngraph::op::util::SubGraphOp::MergedInputDescription ngraph::op::util::SubGraphOp::OutputDescription ngraph::op::util::SubGraphOp::SliceInputDescription ngraph::op::util::UnaryElementwiseArithmetic ngraph::op::v0::Abs ngraph::op::v0::Acos ngraph::op::v0::Asin ngraph::op::v0::Atan ngraph::op::v0::BatchNormInference ngraph::op::v0::Ceiling ngraph::op::v0::Clamp ngraph::op::v0::Concat ngraph::op::v0::Constant ngraph::op::v0::Convert ngraph::op::v0::Cos ngraph::op::v0::Cosh ngraph::op::v0::CTCGreedyDecoder ngraph::op::v0::CumSum ngraph::op::v0::DepthToSpace ngraph::op::v0::DetectionOutput ngraph::op::v0::Elu ngraph::op::v0::Erf ngraph::op::v0::Exp ngraph::op::v0::FakeQuantize ngraph::op::v0::Floor ngraph::op::v0::Gelu ngraph::op::v0::GRN ngraph::op::v0::HardSigmoid ngraph::op::v0::Interpolate ngraph::op::v0::Log ngraph::op::v0::LRN ngraph::op::v0::LSTMCell ngraph::op::v0::LSTMSequence ngraph::op::v0::MatMul ngraph::op::v0::MVN ngraph::op::v0::Negative ngraph::op::v0::NormalizeL2 ngraph::op::v0::Parameter ngraph::op::v0::PRelu ngraph::op::v0::PriorBox ngraph::op::v0::PriorBoxClustered ngraph::op::v0::Proposal ngraph::op::v0::PSROIPooling ngraph::op::v0::Range ngraph::op::v0::RegionYolo ngraph::op::v0::Relu ngraph::op::v0::ReorgYolo ngraph::op::v0::Result ngraph::op::v0::ReverseSequence ngraph::op::v0::RNNCell ngraph::op::v0::ROIPooling ngraph::op::v0::Selu ngraph::op::v0::ShapeOf ngraph::op::v0::ShuffleChannels ngraph::op::v0::Sigmoid ngraph::op::v0::Sign ngraph::op::v0::Sin ngraph::op::v0::Sinh ngraph::op::v0::SpaceToDepth ngraph::op::v0::Sqrt ngraph::op::v0::SquaredDifference ngraph::op::v0::Squeeze ngraph::op::v0::Tan ngraph::op::v0::Tanh ngraph::op::v0::TensorIterator ngraph::op::v0::Tile ngraph::op::v0::Unsqueeze ngraph::op::v0::Xor ngraph::op::v1::Add ngraph::op::v1::AvgPool ngraph::op::v1::BatchToSpace ngraph::op::v1::BinaryConvolution ngraph::op::v1::Broadcast ngraph::op::v1::ConvertLike ngraph::op::v1::Convolution ngraph::op::v1::ConvolutionBackpropData ngraph::op::v1::DeformableConvolution ngraph::op::v1::DeformablePSROIPooling ngraph::op::v1::Divide ngraph::op::v1::Equal ngraph::op::v1::FloorMod ngraph::op::v1::Gather ngraph::op::v1::GatherTree ngraph::op::v1::Greater ngraph::op::v1::GreaterEqual ngraph::op::v1::GroupConvolution ngraph::op::v1::GroupConvolutionBackpropData ngraph::op::v1::Less ngraph::op::v1::LessEqual ngraph::op::v1::LogicalAnd ngraph::op::v1::LogicalNot ngraph::op::v1::LogicalOr ngraph::op::v1::LogicalXor ngraph::op::v1::Maximum ngraph::op::v1::MaxPool ngraph::op::v1::Minimum ngraph::op::v1::Mod ngraph::op::v1::Multiply ngraph::op::v1::NonMaxSuppression ngraph::op::v1::NotEqual ngraph::op::v1::OneHot ngraph::op::v1::Pad ngraph::op::v1::Power ngraph::op::v1::ReduceLogicalAnd ngraph::op::v1::ReduceLogicalOr ngraph::op::v1::ReduceMax ngraph::op::v1::ReduceMean ngraph::op::v1::ReduceMin ngraph::op::v1::ReduceProd ngraph::op::v1::ReduceSum ngraph::op::v1::Reshape ngraph::op::v1::Reverse ngraph::op::v1::Select ngraph::op::v1::Softmax ngraph::op::v1::SpaceToBatch ngraph::op::v1::Split ngraph::op::v1::StridedSlice ngraph::op::v1::Subtract ngraph::op::v1::TopK ngraph::op::v1::Transpose ngraph::op::v1::VariadicSplit ngraph::op::v3::Acosh ngraph::op::v3::Asinh ngraph::op::v3::Assign ngraph::op::v3::Atanh ngraph::op::v3::Broadcast ngraph::op::v3::Bucketize ngraph::op::v3::EmbeddingBagOffsetsSum ngraph::op::v3::EmbeddingBagPackedSum ngraph::op::v3::EmbeddingSegmentsSum ngraph::op::v3::ExtractImagePatches ngraph::op::v3::GRUCell ngraph::op::v3::NonMaxSuppression ngraph::op::v3::NonZero ngraph::op::v3::ReadValue ngraph::op::v3::ROIAlign ngraph::op::v3::ScatterElementsUpdate ngraph::op::v3::ScatterNDUpdate ngraph::op::v3::ScatterUpdate ngraph::op::v3::ShapeOf ngraph::op::v3::TopK ngraph::op::v4::CTCLoss ngraph::op::v4::HSwish ngraph::op::v4::Interpolate ngraph::op::v4::LSTMCell ngraph::op::v4::Mish ngraph::op::v4::NonMaxSuppression ngraph::op::v4::Proposal ngraph::op::v4::Range ngraph::op::v4::ReduceL1 ngraph::op::v4::ReduceL2 ngraph::op::v4::SoftPlus ngraph::op::v4::Swish ngraph::op::v5::BatchNormInference ngraph::op::v5::GatherND ngraph::op::v5::GRUSequence ngraph::op::v5::HSigmoid ngraph::op::v5::LogSoftmax ngraph::op::v5::Loop ngraph::op::v5::LSTMSequence ngraph::op::v5::NonMaxSuppression ngraph::op::v5::RNNSequence ngraph::op::v5::Round ngraph::op::v6::Assign ngraph::op::v6::CTCGreedyDecoderSeqLen ngraph::op::v6::ExperimentalDetectronDetectionOutput ngraph::op::v6::ExperimentalDetectronGenerateProposalsSingleImage ngraph::op::v6::ExperimentalDetectronPriorGridGenerator ngraph::op::v6::ExperimentalDetectronROIFeatureExtractor ngraph::op::v6::ExperimentalDetectronTopKROIs ngraph::op::v6::GatherElements ngraph::op::v6::MVN ngraph::op::v6::ReadValue ngraph::op::v7::DFT ngraph::op::v7::Einsum ngraph::op::v7::Gather ngraph::op::v7::Gelu ngraph::op::v7::IDFT ngraph::op::v7::Roll ngraph::OpSet ngraph::Output ngraph::Output<const Node> ngraph::Output<Node> ngraph::PartialShape ngraph::pass::AddAddFusion ngraph::pass::AddFakeQuantizeFusion ngraph::pass::AddMultiplyFusion ngraph::pass::BackwardGraphRewrite ngraph::pass::BatchNormDecomposition ngraph::pass::BatchToSpaceFusion ngraph::pass::BidirectionalGRUSequenceDecomposition ngraph::pass::BidirectionalLSTMSequenceDecomposition ngraph::pass::BidirectionalRNNSequenceDecomposition ngraph::pass::BidirectionalSequenceDecomposition ngraph::pass::BinarizeWeights ngraph::pass::BroadcastElementwiseFusion ngraph::pass::ClampFusion ngraph::pass::CommonOptimizations ngraph::pass::ConstantFolding ngraph::pass::ConvAddFusion ngraph::pass::ConvertBatchToSpace ngraph::pass::ConvertBroadcast3 ngraph::pass::ConvertBroadcastToTiles ngraph::pass::ConvertConvolution ngraph::pass::ConvertConvolutions ngraph::pass::ConvertDeconvolution ngraph::pass::ConvertDepthToSpace ngraph::pass::ConvertDivide ngraph::pass::ConvertFP32ToFP16 ngraph::pass::ConvertGather0D ngraph::pass::ConvertGather1ToGather7 ngraph::pass::ConvertGather7ToGather1 ngraph::pass::ConvertGELU ngraph::pass::ConvertGroupConvolution ngraph::pass::ConvertGroupDeconvolution ngraph::pass::ConvertGRUSequenceToTensorIterator ngraph::pass::ConvertInterpolate1ToInterpolate4 ngraph::pass::ConvertLSTMSequenceToTensorIterator ngraph::pass::ConvertMinimum ngraph::pass::ConvertMod ngraph::pass::ConvertMVN1ToMVN6 ngraph::pass::ConvertNegative ngraph::pass::ConvertNMS1ToNMS5 ngraph::pass::ConvertNMS3ToNMS5 ngraph::pass::ConvertNMS4ToNMS5 ngraph::pass::ConvertNMSToNMSIEInternal ngraph::pass::ConvertOpSet2ToOpSet1 ngraph::pass::ConvertOpSet3ToOpSet2 ngraph::pass::ConvertPadToGroupConvolution ngraph::pass::ConvertPrecision ngraph::pass::ConvertQuantizeDequantize ngraph::pass::ConvertReduceMaxToPooling ngraph::pass::ConvertReduceMeanToPooling ngraph::pass::ConvertReduceSumToPooling ngraph::pass::ConvertReduceToPooling ngraph::pass::ConvertRNNSequenceToTensorIterator ngraph::pass::ConvertScatterElementsToScatter ngraph::pass::ConvertShapeOf3 ngraph::pass::ConvertShuffleChannels3 ngraph::pass::ConvertSpaceToBatch ngraph::pass::ConvertSpaceToDepth ngraph::pass::ConvertSubtract ngraph::pass::ConvertTensorIteratorToGRUSequence ngraph::pass::ConvertTensorIteratorToLSTMSequence ngraph::pass::ConvertTensorIteratorToRNNSequence ngraph::pass::ConvertTopK3 ngraph::pass::ConvFusion ngraph::pass::ConvMultiplyFusion ngraph::pass::ConvolutionBackpropDataMultiplyFusion ngraph::pass::ConvolutionMultiplyFusion ngraph::pass::ConvToBinaryConv ngraph::pass::DeconvAddFusion ngraph::pass::DepthToSpaceFusion ngraph::pass::DilatedConvolutionConverter ngraph::pass::DisableConvertConstantFoldingOnConstPath ngraph::pass::EinsumDecomposition ngraph::pass::EliminateUnsqueezeGather ngraph::pass::FakeQuantizeDecomposition ngraph::pass::FakeQuantizeMulFusion ngraph::pass::FakeQuantizeReshapeFusion ngraph::pass::FunctionPass ngraph::pass::GatherNegativeConstIndicesNormalize ngraph::pass::Gelu7Downgrade ngraph::pass::GeluFusion ngraph::pass::GeluFusionWithErfOne ngraph::pass::GeluFusionWithErfThree ngraph::pass::GeluFusionWithErfTwo ngraph::pass::GraphRewrite ngraph::pass::GroupConvolutionBackpropDataMultiplyFusion ngraph::pass::GroupConvolutionMultiplyFusion ngraph::pass::GroupedStridedSliceOptimizer ngraph::pass::GRUCellDecomposition ngraph::pass::HSigmoidDecomposition ngraph::pass::HSigmoidFusion ngraph::pass::HSigmoidFusionWithClamp ngraph::pass::HSigmoidFusionWithoutRelu ngraph::pass::HSigmoidFusionWithReluDiv ngraph::pass::HSigmoidFusionWithReluMul ngraph::pass::HSwishDecomposition ngraph::pass::HSwishFusion ngraph::pass::HSwishFusionWithClampDiv ngraph::pass::HSwishFusionWithClampMul ngraph::pass::HSwishFusionWithHSigmoidMul ngraph::pass::HSwishFusionWithoutRelu ngraph::pass::HSwishFusionWithReluDiv ngraph::pass::HSwishFusionWithReluMul ngraph::pass::InitNodeInfo ngraph::pass::LinOpSequenceFusion ngraph::pass::LogSoftmaxDecomposition ngraph::pass::LowLatency2 ngraph::pass::LSTMCellDecomposition ngraph::pass::Manager ngraph::pass::MatcherPass ngraph::pass::MimicSetBatchSize ngraph::pass::MishFusion ngraph::pass::MulFakeQuantizeFusion ngraph::pass::MultiplyMultiplyFusion ngraph::pass::MVN6Decomposition ngraph::pass::MVNFusion ngraph::pass::MVNFusionWithConstantsInside ngraph::pass::MVNFusionWithoutConstants ngraph::pass::NopElimination ngraph::pass::NormalizeL2Fusion ngraph::pass::NormalizeL2FusionWithAdd ngraph::pass::NormalizeL2FusionWithMax ngraph::pass::PadFusion ngraph::pass::PadFusionAvgPool ngraph::pass::PadFusionConvolution ngraph::pass::PadFusionConvolutionBackpropData ngraph::pass::PadFusionGroupConvolution ngraph::pass::PadFusionGroupConvolutionBackpropData ngraph::pass::PadFusionMaxPool ngraph::pass::PassBase ngraph::pass::PassConfig ngraph::pass::Proposal1Scales ngraph::pass::Proposal4Scales ngraph::pass::PullTransposeThroughFQUp ngraph::pass::RecurrentGraphRewrite ngraph::pass::ReduceL1Decomposition ngraph::pass::ReduceL2Decomposition ngraph::pass::ReluFakeQuantizeFusion ngraph::pass::RemoveFilteringBoxesBySize ngraph::pass::ReshapeAMatMul ngraph::pass::ReshapeBMatMul ngraph::pass::ReshapeTo1D ngraph::pass::RNNCellDecomposition ngraph::pass::Serialize ngraph::pass::SetBatchSize ngraph::pass::SharedSqueeze ngraph::pass::SharedStridedSliceEraser ngraph::pass::ShuffleChannelsFusion ngraph::pass::SmartReshape ngraph::pass::SoftmaxFusion ngraph::pass::SoftPlusDecomposition ngraph::pass::SoftPlusFusion ngraph::pass::SoftPlusToMishFusion ngraph::pass::SpaceToBatchFusion ngraph::pass::SplitSqueezeConcatFusion ngraph::pass::SqueezeStridedSlice ngraph::pass::StridedSliceOptimization ngraph::pass::StridedSliceSqueeze ngraph::pass::SwishFusion ngraph::pass::SwishFusionWithBeta ngraph::pass::SwishFusionWithoutBeta ngraph::pass::SwishFusionWithSigmoid ngraph::pass::SwishFusionWithSigmoidWithBeta ngraph::pass::TransposeFQReduction ngraph::pass::TransposeFuse ngraph::pass::TransposeMatMul ngraph::pass::TransposeReduction ngraph::pass::TransposeSinking ngraph::pass::TransposeToReshape ngraph::pass::UnrollTensorIterator ngraph::pass::UselessStridedSliceEraser ngraph::pass::Validate ngraph::pass::VisualizeTree ngraph::pass::WeightsDequantizeToFakeQuantize ngraph::pattern::Matcher ngraph::pattern::MatcherState ngraph::pattern::op::Any ngraph::pattern::op::AnyOf ngraph::pattern::op::AnyOutput ngraph::pattern::op::Branch ngraph::pattern::op::Capture ngraph::pattern::op::Label ngraph::pattern::op::Or ngraph::pattern::op::Pattern ngraph::pattern::op::Skip ngraph::pattern::op::True ngraph::pattern::op::WrapType ngraph::pattern::RecurrentMatcher ngraph::PrimitivesPriority ngraph::runtime::AlignedBuffer ngraph::runtime::HostTensor ngraph::runtime::SharedBuffer ngraph::runtime::Tensor ngraph::Shape ngraph::stopwatch ngraph::Strides ngraph::unsupported_op ngraph::ValueAccessor ngraph::ValueAccessor<void*> ngraph::ValueAccessor<void> ngraph::Variable ngraph::VariableContext ngraph::VariableExtension ngraph::VariableValue ngraph::Variant ngraph::VariantImpl ngraph::VariantWrapper ngraph::VariantWrapper<DequantizationAttr> ngraph::VariantWrapper<FusedNames> ngraph::VariantWrapper<int64_t> ngraph::VariantWrapper<PrimitivesPriority> ngraph::VariantWrapper<std::string> ngraph::VariantWrapper<VariableContext> ngraph::VisitorAdapter openvino::itt::ScopedTask openvino::itt::TaskChain std::numeric_limits<ngraph::bfloat16> std::numeric_limits<ngraph::float16>

Classification C++ Demo page Classification Model Tutorial page ClBlob function ClBufferBlob function CLDNN_CONFIG_KEY define clear function clear_control_dependencies function clear_control_dependents function Clients page ClImage2DBlob function clone_with_new_inputs function CN enumvalue CNNNetwork function, [1], [2] cocosnet page color_format (openvino.inference_engine.PreProcessInfo attribute) ColorFormat enum ColorFormat (class in openvino.inference_engine) Colorization Demo page colorization-siggraph page colorization-v2 page Common optimization passes group common-sign-language-0001 page common-sign-language-0002 page Compare Performance between Two Versions of a Model page compatible function, [1], [2] compatible() (_pyngraph.Dimension method) (_pyngraph.PartialShape method) (ngraph.impl.Dimension method) (ngraph.impl.PartialShape method) (ngraph.opset1.ops.PartialShape method) Compile Tool page compiler_byte_size function CompletionCallback typedef CompoundBlob function, [1] Concat function, [1], [2] page concat() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) ConcatOutputDescription function Config function CONFIG_KEY define CONFIG_KEY_INTERNAL define CONFIG_VALUE define Configuration File Description page Configuration Guide for Intel® Distribution of OpenVINO™ toolkit 2018R5 and the Intel® Programmable Acceleration Card with Intel® Arria® 10 FPGA GX on CentOS* page Configuration Guide for Intel® Distribution of OpenVINO™ toolkit 2019R1/2019R2/2019R3/2020.1 and the Intel® Programmable Acceleration Card with Intel® Arria® 10 FPGA GX on CentOS or Ubuntu* page Configuration Guide for Intel® Distribution of OpenVINO™ toolkit 2020.4 and the Intel® Programmable Acceleration Card with Intel® Arria® 10 GX FPGA on CentOS or Ubuntu* page Configuration Guide for the Intel® Distribution of OpenVINO™ toolkit 2018R5 and the Intel® Vision Accelerator Design with an Intel® Arria® 10 FPGA (IEI's Mustang-F100-A10) on Linux* page Configuration Guide for the Intel® Distribution of OpenVINO™ toolkit 2019R1 and the Intel® Vision Accelerator Design with an Intel® Arria® 10 FPGA (IEI's Mustang-F100-A10) on Linux* page Configuration Guide for the Intel® Distribution of OpenVINO™ toolkit 2019R3 and the Intel® Vision Accelerator Design with an Intel® Arria® 10 FPGA SG1 and SG2 (IEI's Mustang-F100-A10) on Linux* page Configuration Guide for the Intel® Distribution of OpenVINO™ toolkit and the Intel® Vision Accelerator Design with Intel® Movidius™ VPUs on Linux* page Configure Environment page Configure Transport Layer Security (TLS) page Constant function, [1], [2], [3], [4], [5], [6] page constant variable Constant (class in ngraph.impl.op) (class in ngraph.opset1.ops) (class in ngraph.opset2.ops) (class in ngraph.opset3.ops) (class in ngraph.opset4.ops) (class in ngraph.opset5.ops) (class in ngraph.opset6.ops) (class in ngraph.opset7.ops) (class in ngraph.utils.types) constant() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) ConstInputsDataMap typedef constMapCast function, [1] ConstOutputsDataMap typedef contains function, [1] contains_op_type function contains_type function, [1], [2] contains_type_insensitive function Conversion from opset2 to opset1 group Conversion from opset3 to opset2 group Convert function, [1] page Convert CRNN* Models to the Intermediate Representation (IR) page Convert GNMT* Model to the Intermediate Representation (IR) page Convert Kaldi* ASpIRE Chain Time Delay Neural Network (TDNN) Model to the Intermediate Representation page Convert Neural Collaborative Filtering Model from TensorFlow* to the Intermediate Representation page Convert ONNX* Faster R-CNN Model to the Intermediate Representation page Convert ONNX* GPT-2 Model to the Intermediate Representation page Convert ONNX* Mask R-CNN Model to the Intermediate Representation page Convert PyTorch* BERT-NER to the Intermediate Representation page Convert PyTorch* F3Net to the Intermediate Representation page Convert PyTorch* QuartzNet to the Intermediate Representation page Convert PyTorch* RCAN to the Intermediate Representation page Convert PyTorch* RNN-T Model to the Intermediate Representation (IR) page Convert PyTorch* YOLACT to the Intermediate Representation page Convert TensorFlow Models for Serving page Convert TensorFlow* Attention OCR Model to Intermediate Representation page Convert TensorFlow* BERT Model to the Intermediate Representation page Convert TensorFlow* DeepSpeech Model to the Intermediate Representation page Convert TensorFlow* FaceNet Models to Intermediate Representation page Convert TensorFlow* XLNet Model to the Intermediate Representation page convert() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) convert_like() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) convert_lstm_node_format function convert_path_win_style function Converting a Caffe* Model page Converting a Kaldi* Model page Converting a Model to Intermediate Representation (IR) page Converting a ONNX* Model page Converting a PyTorch* Model page Converting a Style Transfer Model from MXNet* page Converting a TensorFlow* Model page Converting an MXNet* Model page Converting EfficientDet Models from TensorFlow page Converting GluonCV* Models page Converting RetinaNet Model from TensorFlow* to the Intermediate Representation page Converting TensorFlow* Language Model on One Billion Word Benchmark to the Intermediate Representation page Converting TensorFlow* Object Detection API Models page Converting TensorFlow* Wide and Deep Family Models to the Intermediate Representation page Converting TensorFlow*-Slim Image Classification Model Library Models page Converting YOLO* Models to the Intermediate Representation (IR) page ConvertLike function, [1] page ConvertReduceBase class Convolution function, [1] page convolution() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) convolution_backprop_data() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) ConvolutionBackpropData function page ConvolutionIE function, [1] Coordinate (class in _pyngraph) (class in ngraph.impl) CoordinateDiff (class in _pyngraph) (class in ngraph.impl) CoordinateTransformMode enum copyInfo function, [1] copyPreProcess function CopyVectorToBlob function Core function group CORES enumvalue Cos function, [1] page cos() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Cosh function, [1] page cosh() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) CPtr typedef, [1], [2], [3], [4], [5], [6], [7], [8] CPU Kernel Custom Operations page CPU Plugin page CPU_THROUGHPUT_NUMA variable cpu_uSec variable CPUStreamsExecutor function crbegin function create function, [1], [2], [3], [4], [5] Create a Yocto Image with Intel® Distribution of OpenVINO™ toolkit page Create Accuracy Report page Create Project page create() (_pyngraph.NodeFactory method) (ngraph.opset1.ops.NodeFactory method) (ngraph.opset2.ops.NodeFactory method) (ngraph.opset3.ops.NodeFactory method) (ngraph.opset4.ops.NodeFactory method) (ngraph.opset5.ops.NodeFactory method) (ngraph.opset6.ops.NodeFactory method) (ngraph.opset7.ops.NodeFactory method) (ngraph.opset_utils.NodeFactory method) (ngraph.utils.node_factory.NodeFactory method) create_insensitive function CreateBlob function CreateContext function, [1] CreateDefaultAllocator function createDirectoryRecursive function CreateExtension function CreateExtensionShared function CreateFromData function CreateInferRequest function, [1], [2], [3] CreateInferRequestPtr function createROI function, [1], [2], [3], [4] crend function Cross Check Tool page, [1] Crossroad Camera C++ Demo page ctc_greedy_decoder() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) ctc_greedy_decoder_seq_len() (in module ngraph) (in module ngraph.opset6) (in module ngraph.opset6.ops) (in module ngraph.opset7) ctc_loss() (in module ngraph) (in module ngraph.opset4) (in module ngraph.opset4.ops) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) CTCGreedyDecoder function page CTCGreedyDecoderSeqLen function, [1] page CTCLoss function page ctdet_coco_dlav0_384 page ctdet_coco_dlav0_512 page ctpn page cum_sum() (in module ngraph) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) CumSum function, [1], [2] page cumsum() (in module ngraph) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) CUSTOM enumvalue, [1] Custom Evaluators for Accuracy Checker page Custom Model Loader page Custom nGraph Operations page Custom Node Development Guide page Custom ONNX* Operators page Custom Operations Guide page Cut Datasets page Cutting Off Parts of a Model page

D

D3DBufferBlob function D3DSurface2DBlob function DAG Scheduler: Combine Results from Two Models page Data function, [1], [2] data function Data Readers page DataPtr typedef DataPtr (class in openvino.inference_engine) Dataset Preparation Guide page Dataset Types page DataWeakPtr typedef deallocate function, [1], [2], [3] deblurgan-v2 page DECLARE_GPU_PARAM_KEY define DECLARE_GPU_PARAM_VALUE define decompose_op function Deep Learning accuracy validation framework page Deep Learning Network Intermediate Representation and Operation Sets in OpenVINO™ page Deep Learning Workbench Security page, [1] deepcopy() (in module openvino.inference_engine) deeplabv3 page Default Model Optimizer Optimizations page default_lower_bound_evaluator function default_upper_bound_evaluator function DefaultQuantization Algorithm page define AUTO_CONFIG_KEY CLDNN_CONFIG_KEY CONFIG_KEY CONFIG_KEY_INTERNAL CONFIG_VALUE DECLARE_GPU_PARAM_KEY DECLARE_GPU_PARAM_VALUE EXEC_NETWORK_METRIC_KEY FOREACH_CHILD GNA_CONFIG_KEY GNA_CONFIG_VALUE GPU_CONFIG_KEY GPU_METRIC_KEY GPU_PARAM_KEY GPU_PARAM_VALUE HETERO_CONFIG_KEY IE_ASSERT IE_DEFINE_EXTENSION_CREATE_FUNCTION IE_DEFINE_PLUGIN_CREATE_FUNCTION IE_EXCEPTION_SWITCH IE_SET_METRIC_RETURN IE_THROW IE_VERSION_MAJOR IE_VERSION_MINOR IE_VERSION_PATCH METRIC_KEY METRIC_VALUE MULTI_CONFIG_KEY NGRAPH_CHECK NGRAPH_RTTI_DECLARATION NGRAPH_RTTI_DEFINITION NGRAPH_UNREACHABLE OV_ITT_DOMAIN OV_ITT_SCOPE OV_ITT_SCOPE_NEXT OV_ITT_SCOPE_SKIP OV_ITT_SCOPED_TASK OV_ITT_TASK_CHAIN OV_ITT_TASK_NEXT OV_ITT_TASK_SKIP TYPE_CASE VPU_HDDL_CONFIG_KEY VPU_HDDL_CONFIG_VALUE VPU_HDDL_METRIC VPU_MYRIAD_CONFIG_KEY VPU_MYRIAD_CONFIG_VALUE deformable_convolution() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) deformable_psroi_pooling() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) DeformableConvolution function, [1] page DeformablePSROIPooling function page Demultiplexing in DAG page densenet-121 page densenet-121-caffe2 page densenet-121-tf page densenet-161 page densenet-161-tf page

densenet-169 page densenet-169-tf page densenet-201 page densenet-201-tf page Deploy and Integrate Performance Criteria into Application page Deploy BERT with Model Server page Deploy Model Server in Kubernetes page Deployment Optimization Guide page Deployment Optimization Guide Additional Configurations page Deprecated List page depth_to_space() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) DepthToSpace function page DepthToSpaceMode enum DequantizationAttr function, [1] desc struct variable description function variable DescriptionBuffer function, [1], [2], [3], [4] detection_output() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) DetectionOutput function, [1] page Device Plugin Support page DeviceSupportsImportExport function DeviceType enum DFT function, [1] dft() (in module ngraph) (in module ngraph.opset7) (in module ngraph.opset7.ops) Dimension function, [1], [2] Dimension (class in _pyngraph) (class in ngraph.impl) dims (openvino.inference_engine.TensorDesc attribute) Directed Acyclic Graph (DAG) Scheduler page directoryExists function disable function, [1] Discrete Fourier Transformation (DFT) page DistributionNotFound Divide function, [1], [2] page divide() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) DL Streamer API reference page DL Streamer Samples page DL Workbench Key Concepts page dla-34 page Documentation page domain_t typedef Draw Face Attributes C++ Sample page driver-action-recognition-adas-0002 (composite) page DX_BUFFER variable dynamic function, [1] Dynamic Batch Size with Automatic Model Reloading page Dynamic batch size with OpenVINO™ Model Server Demultiplexer page Dynamic Input Parameters page Dynamic Shape with a Custom Node page Dynamic Shape with Automatic Model Reloading page Dynamic Shape with Binary Inputs page dynamic() (_pyngraph.Dimension static method) (_pyngraph.PartialShape static method) (ngraph.impl.Dimension static method) (ngraph.impl.PartialShape static method) (ngraph.opset1.ops.PartialShape static method) dynBatchSupport variable

E

Educational Resources about DL Workbench page efficientdet-d0-tf page efficientdet-d1-tf page efficientnet-b0 page efficientnet-b0-pytorch page efficientnet-b0_auto_aug page efficientnet-b5 page efficientnet-b5-pytorch page efficientnet-b7-pytorch page efficientnet-b7_auto_aug page Einsum function page einsum() (in module ngraph) (in module ngraph.opset7) (in module ngraph.opset7.ops) element_size function, [1], [2], [3], [4] Elu function page elu() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) embedding_bag_offsets_sum() (in module ngraph) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) embedding_bag_packed_sum() (in module ngraph) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) embedding_segments_sum() (in module ngraph) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) EmbeddingBagOffsetsBase function, [1] EmbeddingBagOffsetsSum function, [1] page EmbeddingBagPackedBase function, [1] EmbeddingBagPackedSum function, [1] page EmbeddingSegmentsSum function, [1] page emotions-recognition-retail-0003 page empty function, [1] enable function, [1] Enable Authentication in DL Workbench page end function, [1], [2], [3] End-to-end Command-line Interface example page enum AutoBroadcastType BinaryConvolutionMode BoxEncodingType, [1], [2] BroadcastType ColorFormat CoordinateTransformMode DepthToSpaceMode DeviceType ePrecision EpsMode FusionType GeluApproximationMode InterpolateMode, [1] LayerStatus Layout LockOp LOG_TYPE LSTMWeightsFormat, [1] MeanVariant Mode MVNEpsMode NearestMode PadMode PadType PassProperty PoolingMode precision_e PreferredCoreType RecurrentSequenceDirection resize_alg_e ResizeAlgorithm RoundingType RoundMode ShapeCalcMode SpaceToDepthMode StatusCode ThreadBindingType TopKMode TopKSortType Type Type_t Version WaitMode, [1] EnumMask function enumvalue ANY BF16 BGR BGRX BIN, [1] BLOCKED BOOL C CHW CN CORES CUSTOM, [1] EXECUTED FP16, [1] FP32, [1] FP64, [1] GOIDHW GOIHW HW HWC HYBRID_AWARE I16, [1] I32, [1] I4, [1] I420 I64, [1] I8, [1] LOCK_FOR_READ LOCK_FOR_WRITE MEAN_IMAGE MEAN_VALUE MIXED, [1] NC NCDHW NCHW NDHWC NHWC NO_RESIZE NONE, [1] NOT_RUN NUMA NV12 OIDHW OIHW OPTIMIZED_OUT Q78, [1] RAW RESIZE_AREA RESIZE_BILINEAR RESULT_READY, [1] RGB RGBX SCALAR STATUS_ONLY, [1] U16, [1] U32, [1] U4, [1] U64, [1] U8, [1] UNSPECIFIED, [1]

ePrecision enum EpsMode enum Equal function, [1] page equal() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Erf page erf() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Error handling and debug helpers group error_msg variable evaluate function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75], [76], [77], [78], [79], [80], [81], [82], [83], [84], [85], [86], [87], [88], [89], [90], [91], [92], [93], [94], [95], [96], [97], [98], [99], [100], [101], [102], [103], [104], [105], [106], [107], [108] evaluate_as_partial_shape function evaluate_both_bounds function evaluate_lower_bound function evaluate_nodes function evaluate_upper_bound function EvaluationContext typedef Evaluator function EXEC_NETWORK_METRIC_KEY define exec_type variable ExecGraphInfoSerialization namespace ExecGraphInfoSerialization::ExecutionNode class Executable Network page Executable Network base classes group ExecutableNetwork function, [1] group ExecutableNetwork (class in openvino.inference_engine) ExecutableNetworkThreadSafeDefault function Execute function, [1] execute function EXECUTED enumvalue Execution graph utilities group execution_index variable EXECUTION_ORDER variable ExecutionNode function, [1] executorManager function Exp function, [1] page exp() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) ExperimentalDetectronDetectionOutput function page ExperimentalDetectronGenerateProposalsSingleImage function page ExperimentalDetectronPriorGridGenerator function page ExperimentalDetectronROIFeatureExtractor function, [1] page ExperimentalDetectronTopKROIs function page Export function, [1], [2], [3], [4], [5] Export Project page export() (openvino.inference_engine.ExecutableNetwork method) Extending Model Optimizer for Custom MXNet* Operations page Extending Model Optimizer with Caffe* Python Layers page Extension function Extension Library page extract_image_patches() (in module ngraph) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) extract_labels function ExtractImagePatches function page

F

f16tof32 function f16tof32Arrays function f32tof16 function f32tof16Arrays function f3net page Face Analysis Pipeline page Face Detection page Face Detection And Classification Python Sample page Face Detection And Classification Sample (gst-launch command line) page Face Detection MTCNN Python* Demo page Face Recognition Python* Demo page face-detection-0200 page face-detection-0202 page face-detection-0204 page face-detection-0205 page face-detection-0206 page face-detection-adas-0001 page face-detection-retail-0004 page face-detection-retail-0005 page face-detection-retail-0044 page face-recognition-resnet100-arcface-onnx page face-reidentification-retail-0095 page faceboxes-pytorch page facenet-20180408-102900 page facial-landmarks-35-adas-0002 page fake_quantize() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) FakeQuantize function page fast-neural-style-mosaic-onnx page faster-rcnn-resnet101-coco-sparse-60-0001 page faster_rcnn_inception_resnet_v2_atrous_coco page faster_rcnn_inception_v2_coco page faster_rcnn_resnet101_coco page faster_rcnn_resnet50_coco page fastseg-large page fastseg-small page fcrn-dp-nyu-depth-v2-tf page File utilities group fileExist function, [1] fileExt function fileNameToString function FileSeparator variable fileSize function, [1] FileUtils namespace FileUtils::DotSymbol struct FileUtils::DotSymbol<char> struct FileUtils::DotSymbol<wchar_t> struct FileUtils::FileTraits struct FileUtils::FileTraits<char> struct FileUtils::FileTraits<wchar_t> struct finish_structure function Floor function, [1] page floor() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) floor_mod() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) FloorMod function, [1] page fnmatch() (in module openvino.inference_engine) FOREACH_CHILD define Formula Recognition Python* Demo page formula-recognition-medium-scan-0001 (composite) page formula-recognition-polynomials-handwritten-0001 (composite) page forward-tacotron (composite) page FP16 enumvalue, [1] FP16 to FP32 precision utilities group FP32 enumvalue, [1] FP64 enumvalue, [1] FPGA Plugin page free function from_capsule() (_pyngraph.Function static method) (ngraph.Function static method) (ngraph.helpers.Function static method) (ngraph.impl.Function static method) FromStr function fromType function func (ngraph.opset1.ops.partial attribute) (ngraph.opset2.ops.partial attribute) (ngraph.opset3.ops.partial attribute) (ngraph.opset4.ops.partial attribute) (ngraph.opset5.ops.partial attribute) (ngraph.opset6.ops.partial attribute) (ngraph.opset7.ops.partial attribute) (ngraph.utils.node_factory.partial attribute) Function function, [1] function Abs, [1] absoluteFilePath Acos, [1] Acosh, [1] Add, [1] add_control_dependency add_matcher, [1] add_node add_node_control_dependencies add_node_control_dependents add_parameters add_provenance_group_member add_provenance_group_members_above add_provenance_tags_above add_results add_sinks add_variables AddExtension, [1], [2] addOutput, [1] all_non_negative alloc allocate, [1], [2], [3] Any, [1] AnyOf, [1] AnyOutput ApiVersion, [1], [2] as, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] as_enum, [1] as_result_vector as_string, [1] Asin, [1] Asinh, [1] Assign, [1] AssignBase asVariant AsyncInferRequestThreadSafeDefault Atan, [1] Atanh, [1] AvgPool, [1] BatchedBlob, [1] BatchNormInference, [1] BatchToSpace begin, [1], [2], [3] BinaryConvolution, [1] Blob blob_copy BlockingDesc, [1], [2], [3], [4], [5] BodyOutputDescription Broadcast, [1], [2], [3], [4], [5] broadcast_merge broadcast_merge_into Bucketize byteSize, [1], [2] Cancel, [1], [2], [3] cast_vector cbegin Ceiling, [1] cend check_for_cycles checkBlob checkBlobs checkOpenMpEnvVars Clamp ClBlob ClBufferBlob clear clear_control_dependencies clear_control_dependents ClImage2DBlob clone_with_new_inputs CNNNetwork, [1], [2] compatible, [1], [2] compiler_byte_size CompoundBlob, [1] Concat, [1], [2] ConcatOutputDescription Config Constant, [1], [2], [3], [4], [5], [6] constMapCast, [1] contains, [1] contains_op_type contains_type, [1], [2] contains_type_insensitive Convert, [1] convert_lstm_node_format convert_path_win_style ConvertLike, [1] Convolution, [1] ConvolutionBackpropData ConvolutionIE, [1] copyInfo, [1] copyPreProcess CopyVectorToBlob Core Cos, [1] Cosh, [1] CPUStreamsExecutor crbegin create, [1], [2], [3], [4], [5] create_insensitive CreateBlob CreateContext, [1] CreateDefaultAllocator createDirectoryRecursive CreateExtension CreateExtensionShared CreateFromData CreateInferRequest, [1], [2], [3] CreateInferRequestPtr createROI, [1], [2], [3], [4] crend CTCGreedyDecoder CTCGreedyDecoderSeqLen, [1] CTCLoss CumSum, [1], [2] D3DBufferBlob D3DSurface2DBlob Data, [1], [2] data deallocate, [1], [2], [3] decompose_op default_lower_bound_evaluator default_upper_bound_evaluator DeformableConvolution, [1] DeformablePSROIPooling DepthToSpace DequantizationAttr, [1] description DescriptionBuffer, [1], [2], [3], [4] DetectionOutput, [1] DeviceSupportsImportExport DFT, [1] Dimension, [1], [2] directoryExists disable, [1] Divide, [1], [2] dynamic, [1] Einsum element_size, [1], [2], [3], [4] Elu EmbeddingBagOffsetsBase, [1] EmbeddingBagOffsetsSum, [1] EmbeddingBagPackedBase, [1] EmbeddingBagPackedSum, [1] EmbeddingSegmentsSum, [1] empty, [1] enable, [1] end, [1], [2], [3] EnumMask Equal, [1] evaluate, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75], [76], [77], [78], [79], [80], [81], [82], [83], [84], [85], [86], [87], [88], [89], [90], [91], [92], [93], [94], [95], [96], [97], [98], [99], [100], [101], [102], [103], [104], [105], [106], [107], [108] evaluate_as_partial_shape evaluate_both_bounds evaluate_lower_bound evaluate_nodes evaluate_upper_bound Evaluator ExecutableNetwork, [1] ExecutableNetworkThreadSafeDefault Execute, [1] execute ExecutionNode, [1] executorManager Exp, [1] ExperimentalDetectronDetectionOutput ExperimentalDetectronGenerateProposalsSingleImage ExperimentalDetectronPriorGridGenerator ExperimentalDetectronROIFeatureExtractor, [1] ExperimentalDetectronTopKROIs Export, [1], [2], [3], [4], [5] Extension extract_labels ExtractImagePatches f16tof32 f16tof32Arrays f32tof16 f32tof16Arrays FakeQuantize fileExist, [1] fileExt fileNameToString fileSize, [1] finish_structure Floor, [1] FloorMod, [1] free FromStr fromType Function, [1] FusedNames, [1] fuseWith Gather, [1] GatherBase GatherElements GatherND GatherTree Gelu, [1] get, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] get_activation_func_by_name get_attrs, [1], [2] get_auto_pad, [1], [2], [3], [4], [5], [6], [7], [8] get_autob, [1], [2], [3], [4] get_axis, [1], [2] get_axis_set_val get_axis_vector_val get_body get_bound_nodes_for_pattern get_broadcast_axes, [1] get_broadcast_spec get_callback, [1] get_classes_index_type get_concatenated_slices, [1] get_concatenation_axis get_constant_from_source get_constant_max_of_type get_constant_min_of_type get_context get_control_dependencies get_control_dependents get_convolution_output_shape get_coordinate_diff_val get_coordinate_val get_default_handler get_default_output get_default_output_index, [1], [2], [3] get_default_value, [1], [2], [3], [4], [5], [6], [7], [8] get_description get_dilations, [1], [2], [3], [4], [5], [6] get_directory get_element_count get_element_type, [1], [2], [3], [4], [5], [6], [7] get_equation get_file_ext get_file_name get_friendly_name, [1] get_function get_graph_size get_group, [1] get_index, [1], [2], [3], [4] get_input_descriptions, [1] get_input_element_type get_input_partial_shape get_input_shape get_input_size get_inputs_from get_interval get_is_relevant_to_shape get_is_relevant_to_shapes, [1] get_is_relevant_to_value get_is_relevant_to_values, [1] get_iter_value get_k get_keep_dims, [1] get_kernel, [1] get_length get_lower_value get_max_shape get_max_val get_merge_repeated get_min_shape get_min_val get_mode, [1] get_name, [1], [2] get_name_with_context get_node, [1], [2], [3], [4] get_node_shared_ptr, [1] get_origin_input_type get_output, [1] get_output_descriptions, [1] get_output_element_type, [1] get_output_op get_output_padding, [1] get_output_partial_shape, [1] get_output_shape, [1], [2] get_output_size, [1] get_output_target_inputs get_output_tensor get_outputs_to get_overridden_output_type get_pad_mode get_pad_value get_pads_begin, [1], [2], [3], [4], [5], [6], [7], [8], [9] get_pads_end, [1], [2], [3], [4], [5], [6], [7], [8], [9] get_parameter_index get_parameters get_partial_shape, [1], [2], [3], [4], [5], [6] get_pass_config, [1] get_property get_provenance_group_members get_provided_axis get_raw_pointer_node get_reduction_axes, [1] get_registered_node get_registered_node_id get_reset get_result get_result_index get_results get_rounding_type get_rt_info, [1], [2], [3], [4], [5] get_sequence_length_type get_shape, [1], [2], [3], [4], [5], [6], [7], [8] get_shape_val get_sinks get_size_in_bytes get_source_output, [1] get_stale get_static_nodes get_strides, [1], [2], [3], [4], [5], [6], [7], [8] get_strides_val get_supported_operators get_target_inputs, [1] get_tensor, [1], [2], [3], [4], [5] get_tensor_ptr, [1], [2], [3] get_type_info, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75], [76], [77], [78], [79], [80], [81], [82], [83], [84], [85], [86], [87], [88], [89], [90], [91], [92], [93], [94], [95], [96], [97], [98], [99], [100], [101], [102], [103], [104] get_univeral_handler get_upper_value get_users get_value get_value_map get_value_strings get_variable get_variable_by_id get_variable_id, [1], [2], [3], [4] get_variable_value get_variable_values get_variables get_version, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18] getAvailableCoresTypes GetAvailableDevices, [1] getAvailableNUMANodes getBatchSize, [1] GetBlob, [1], [2], [3] getBlob getBlockDims getBlockingDesc GetBoolAttr, [1] getColorFormat GetConfig, [1], [2], [3], [4], [5] GetContext, [1], [2] getContext GetCore GetDefaultContext, [1] getDequantization getDequantizationAttr getDeviceName, [1] getDims, [1], [2] getenv_bool getenv_int getenv_string GetExecGraphInfo, [1], [2] getExecutor GetFloatAttr, [1] getFunction, [1], [2], [3] getFusedNames getFusedNamesVector getIELibraryPath getImplementation, [1] getImplTypes, [1] GetInferenceEngineVersion getInput getInputData getInputShapes getInputsInfo, [1] GetInputsInfo, [1], [2] getInstance GetInt64Attr, [1] GetIntAttr, [1] GetIntChild GetLastState, [1], [2] getLayout, [1], [2] getLayoutByDims getMeanVariant GetMetric, [1], [2], [3], [4], [5] getName, [1], [2] GetName, [1], [2], [3] getNames GetNumaNodeId, [1] getNumberOfChannels getNumberOfCPUCores getOffsetPadding getOffsetPaddingToData getOpSets, [1] getOrder getOutputsInfo, [1] GetOutputsInfo, [1], [2] getOVNameForTensor, [1] getParams, [1] GetPerformanceCounts, [1], [2], [3] getPrecision, [1], [2] GetPrecisionAttr, [1] getPrecVal GetPreProcess, [1], [2], [3] getPreProcess, [1] getPrimitivesPriority, [1] getResizeAlgorithm GetState, [1], [2] GetStrAttr, [1] GetStreamId, [1] getStrides getSupportedConfigurations getTensorDesc, [1], [2], [3], [4], [5] GetUInt64Attr, [1] GetUIntAttr, [1] GetUserData, [1] getUserObject getVectorNames GetVersion, [1], [2] GetVersions Greater, [1] GreaterEqual, [1] GRN GroupConvolution, [1] GroupConvolutionBackpropData GRUCell, [1], [2] handle HardSigmoid has_and_set_bound has_and_set_equal_bounds has_evaluate, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75], [76], [77], [78], [79], [80], [81], [82], [83], [84], [85], [86], [87], [88], [89], [90], [91], [92], [93], [94], [95], [96], [97], [98], [99], [100], [101], [102], [103] has_factory, [1] has_output has_same_type has_upper_bound hasStorageType host_tensor_is_positive HSigmoid HSwish I420Blob, [1] IDFT, [1] ie_blob_byte_size ie_blob_deallocate ie_blob_free ie_blob_get_dims ie_blob_get_layout ie_blob_get_precision ie_blob_make_memory ie_blob_make_memory_from_preallocated ie_blob_make_memory_i420 ie_blob_make_memory_nv12 ie_blob_make_memory_with_roi ie_blob_size ie_c_api_version ie_core_add_extension ie_core_available_devices_free ie_core_create ie_core_export_network ie_core_free ie_core_get_available_devices ie_core_get_config ie_core_get_metric ie_core_get_versions ie_core_import_network ie_core_import_network_from_memory ie_core_load_network ie_core_load_network_from_file ie_core_read_network ie_core_read_network_from_memory ie_core_register_plugin ie_core_register_plugins ie_core_set_config ie_core_unregister_plugin ie_core_versions_free ie_infer_request_free ie_infer_request_get_blob ie_infer_request_infer ie_infer_request_infer_async ie_infer_request_set_batch ie_infer_request_set_blob ie_infer_request_wait ie_infer_set_completion_callback ie_memcpy ie_network_free ie_network_get_color_format ie_network_get_input_dims ie_network_get_input_layout ie_network_get_input_name ie_network_get_input_precision ie_network_get_input_resize_algorithm ie_network_get_input_shapes ie_network_get_inputs_number ie_network_get_name ie_network_get_output_dims ie_network_get_output_layout ie_network_get_output_name ie_network_get_output_precision ie_network_get_outputs_number ie_network_input_shapes_free ie_network_name_free ie_network_reshape ie_network_set_color_format ie_network_set_input_layout ie_network_set_input_precision ie_network_set_input_resize_algorithm ie_network_set_output_layout ie_network_set_output_precision ie_param_free ie_version_free IInferRequestInternal import_onnx_model, [1], [2] ImportNetwork, [1], [2], [3], [4], [5], [6], [7] Infer, [1], [2], [3] infer_conv_backprop_auto_padding infer_conv_backprop_output_spatial_shape, [1] InferImpl InferRequest, [1] init, [1] Input, [1], [2], [3] input, [1] input_values inputs, [1] insert, [1], [2] Interpolate, [1], [2] Interval, [1], [2], [3] interval_bound_evaluator invalidate_values InvariantInputDescription is, [1], [2], [3], [4] is_any_clear is_any_set is_clear is_disabled, [1] is_dynamic, [1], [2] is_enabled, [1] is_float is_operator_supported is_set is_static, [1] isInitialized isSigned iterate_files Label, [1] layerCount, [1] Less, [1] LessEqual, [1] LoadNetwork, [1], [2], [3], [4], [5], [6], [7] lock LockedMemory, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] Log, [1] LogicalAnd, [1] LogicalNot, [1] LogicalOr LogicalXor LogSoftmax Loop, [1] LowLatency lowLatency2 LRN, [1] LSTMCell, [1], [2], [3], [4] m_transformation_callback make_blob_with_precision, [1], [2], [3] make_plain_blob make_roi_desc make_shared_blob, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] make_shared_blob_nv12, [1], [2] make_shared_context, [1], [2] make_so_pointer MakeDefaultMultiThreaded makePath match, [1], [2] Matcher MatMul Maximum, [1] maximum_value MaxPool, [1] MemoryBlob merge, [1] merge_into merge_rank MergedInputDescription Minimum, [1] Mish Mod, [1] multi_byte_char_to_wstring Multiply, [1] MVN, [1], [2] name, [1] Negative, [1] next no_default_index NonMaxSuppression, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] NonZero, [1], [2], [3] normalize_axes normalize_axis, [1], [2], [3] NormalizeL2 NotEqual, [1] NV12Blob, [1] offset, [1] on_adapter, [1], [2] on_attribute on_finish on_start OneHot, [1] operator bool, [1], [2] operator cl::Buffer operator cl::Context operator cl::Image2D operator cl_context operator cl_mem, [1] operator const ICNNNetwork & operator const T & operator const T *, [1] operator ICNNNetwork & operator ICNNNetwork::Ptr operator ID3D11Buffer * operator ID3D11Device * operator ID3D11Texture2D * operator Precision::ePrecision operator S* operator StatusCode operator std::shared_ptr< IExecutableNetwork > operator std::shared_ptr< IInferRequest > operator std::shared_ptr< ngraph::Variant > operator std::vector< Dimension > operator T&, [1] operator T&& operator T* operator VADisplay operator VASurfaceID operator!, [1], [2] operator!=, [1], [2], [3], [4] operator&, [1] operator&=, [1] operator() operator*, [1] operator*=, [1] operator+, [1], [2] operator+=, [1] operator-, [1] operator-= operator< operator<<, [1], [2], [3], [4] operator=, [1], [2], [3], [4] operator==, [1], [2], [3], [4], [5], [6], [7], [8], [9] operator[], [1], [2], [3] Or output, [1] Output, [1], [2], [3], [4], [5], [6], [7], [8] outputs, [1] Pad, [1], [2] Parameter, [1], [2], [3], [4], [5], [6], [7], [8] parse_equation parse_result parse_string, [1] parse_string< float > parse_string< int8_t > parse_version_string ParseXml PartialShape, [1], [2], [3], [4] path_join Pattern plane, [1] Power Precision, [1], [2] PRelu PrimitivesPriority, [1] PriorBox PriorBoxClustered Proposal, [1] PSROIPooling QueryNetwork, [1], [2] QueryState, [1], [2], [3], [4], [5], [6] Range, [1], [2], [3] rank rbegin, [1] read, [1] ReadNetwork, [1], [2], [3] readOnly ReadValue, [1] ReadValueBase RecurrentMatcher, [1] ReduceL1, [1] ReduceL2, [1] ReduceLogicalAnd ReduceLogicalOr ReduceMax, [1] ReduceMean ReduceMin, [1] ReduceProd, [1] ReduceSum, [1] reduction_axes_constant, [1] refines, [1] RegionYolo register_factory, [1], [2] register_node register_operator register_pass RegisterPlugin RegisterPlugins relaxes, [1] Release Relu RemoteBlob remove_control_dependency remove_output remove_parameter remove_provenance_group_member remove_result remove_sink remove_target_input remove_variable remove_variable_value rend, [1] ReorgYolo replace replace_node, [1] replace_nodes replace_output, [1] replace_parameter replace_provenance_group_member replace_source_output reset Reset, [1], [2] reset_variable_context reshape, [1], [2], [3], [4] Reshape Result, [1] Reverse ReverseSequence rmap, [1] RNNCell, [1] RNNCellBase ROI ROIAlign ROIPooling Roll Round, [1] row_major_strides run, [1], [2] runAndWait rwmap, [1] same_scheme, [1] sanitize_path saturate_cast, [1] ScatterElementsUpdate ScatterNDUpdate ScatterUpdate ScopedTask Select, [1] Selu serialize, [1] set, [1], [2], [3], [4], [5], [6], [7] set_argument set_arguments, [1] set_body set_broadcast, [1] set_callback, [1], [2], [3] set_classes_index_type set_data_shape set_default_handler set_element_type set_friendly_name, [1] set_invariant_input set_lower_value set_max_val set_merged_input set_min_val set_origin_input_type set_output_size set_overridden_output_type set_pass_config, [1] set_per_pass_validation set_reduction_axes set_reset set_sequence_length_type set_shape set_sliced_input set_stale set_unary set_univeral_handler set_upper_value set_value set_variable set_variable_id set_variable_value set_variable_values SetBatch, [1], [2], [3] setBatchSize, [1] SetBlob, [1], [2], [3], [4], [5], [6], [7] SetCallback, [1] setColorFormat SetCompletionCallback, [1] SetConfig, [1], [2], [3], [4], [5] SetCore setDims, [1] SetInput setInputData setLayout, [1], [2] setMeanImage setMeanImageForChannel setName SetName setNetworkInputs setNetworkOutputs SetOutput setPointerToExecutableNetworkInternal SetPointerToPlugin setPrecision, [1], [2] setResizeAlgorithm SetState, [1], [2] SetUserData, [1] setVariant SetVersion shape_size ShapeOf, [1] ShuffleChannels Sign Sin Sinh size, [1], [2], [3], [4] SliceInputDescription Softmax SoftPlus SpaceToBatch SpaceToDepth specialize_function Split, [1] Sqrt SquaredDifference, [1] start_match start_structure StartAsync, [1], [2], [3] StartAsyncImpl StridedSlice, [1] stringToFileName subgraph_topological_sort Subtract SupportedKeys Swish Tan Tanh TaskChain TBlob, [1], [2], [3], [4] TemporaryReplaceOutputType TensorDesc, [1], [2], [3] threadName Tile to_shape TopK, [1], [2], [3] topological_sort transfer_control_dependents transfer_provenance_tags transformation_callback Transpose traverse_nodes try_apply_auto_padding TypeRelaxed u, [1] Unload, [1] unlock unregister_operator UnregisterPlugin uv, [1] v, [1] validate_and_infer_convolution_forward_output_shape validate_and_infer_types, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75], [76], [77], [78], [79], [80], [81], [82], [83], [84], [85], [86], [87], [88], [89], [90], [91], [92], [93], [94], [95], [96], [97], [98], [99], [100], [101], [102], [103], [104], [105], [106], [107], [108], [109], [110], [111], [112], [113], [114], [115], [116], [117], [118], [119], [120], [121], [122], [123], [124], [125], [126], [127] validate_host_tensor_vector validate_input_rank_dimension validate_seq_input_rank_dimension VariableContext, [1] VariableState, [1] VariableValue, [1], [2] VariadicSplit, [1] VASurfaceBlob visit_attributes Wait, [1], [2], [3] wait_for_read_ready wait_for_write_ready with_cpu_x86_avx with_cpu_x86_avx2 with_cpu_x86_avx512_core with_cpu_x86_avx512f with_cpu_x86_bfloat16 with_cpu_x86_sse42 wmap, [1] write, [1] write_description wstring_to_string Xor y, [1], [2], [3]

Function (class in _pyngraph) (class in ngraph) (class in ngraph.helpers) (class in ngraph.impl) function_from_cnn() (in module ngraph) (in module ngraph.helpers) function_to_cnn() (in module ngraph) (in module ngraph.helpers) FusedNames function, [1] fuseWith function FusionType enum

G

G-API Gaze Estimation Demo page G-API Interactive Face Detection Demo page Gather function, [1] page, [1] gather() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) (in module ngraph.opset7.ops) gather_elements() (in module ngraph) (in module ngraph.opset6) (in module ngraph.opset6.ops) (in module ngraph.opset7) gather_nd() (in module ngraph) (in module ngraph.opset5) (in module ngraph.opset5.ops) (in module ngraph.opset6) (in module ngraph.opset7) gather_tree() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) GatherBase function GatherElements function page GatherND function page GatherTree function page Gaze Estimation Demo page gaze-estimation-adas-0002 page Gelu function, [1] gelu() (in module ngraph) (in module ngraph.opset2) (in module ngraph.opset2.ops) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) (in module ngraph.opset7.ops) GELU- Gaussian Error Linear Unit page, [1] GeluApproximationMode enum Gesture Recognition Python* Demo page get function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] Get Started page, [1] Get Started with Instructions page Get Started with OpenVINO™ Toolkit on Linux* page Get Started with OpenVINO™ Toolkit on macOS* page Get Started with OpenVINO™ Toolkit on Raspbian* OS page Get Started with OpenVINO™ Toolkit on Windows* page Get Started with Sample and Demo Applications page get() (_pyngraph.VariantInt method) (_pyngraph.VariantString method) get_activation_func_by_name function get_attrs function, [1], [2] get_auto_pad function, [1], [2], [3], [4], [5], [6], [7], [8] get_autob function, [1], [2], [3], [4] get_axis function, [1], [2] get_axis_set_val function get_axis_vector_val function get_body function get_bound_nodes_for_pattern function get_broadcast_axes function, [1] get_broadcast_axes() (in module ngraph.utils.broadcasting) get_broadcast_spec function get_callback function, [1] get_classes_index_type function get_concatenated_slices function, [1] get_concatenation_axis function get_config() (openvino.inference_engine.ExecutableNetwork method) (openvino.inference_engine.IECore method) get_constant_from_source function get_constant_max_of_type function get_constant_min_of_type function get_context function get_control_dependencies function get_control_dependents function get_convolution_output_shape function get_coordinate_diff_val function get_coordinate_val function get_default_handler function get_default_output function get_default_output_index function, [1], [2], [3] get_default_value function, [1], [2], [3], [4], [5], [6], [7], [8] get_description function get_dilations function, [1], [2], [3], [4], [5], [6] get_dimension() (_pyngraph.PartialShape method) (ngraph.impl.PartialShape method) (ngraph.opset1.ops.PartialShape method) get_directory function get_distribution() (in module ngraph) get_dtype() (in module ngraph.opset1.ops) (in module ngraph.opset2.ops) (in module ngraph.opset3.ops) (in module ngraph.opset4.ops) (in module ngraph.opset5.ops) (in module ngraph.opset6.ops) (in module ngraph.opset7.ops) (in module ngraph.utils.broadcasting) (in module ngraph.utils.types) get_element_count function get_element_type function, [1], [2], [3], [4], [5], [6], [7] get_element_type() (_pyngraph.Input method) (_pyngraph.Node method) (_pyngraph.Output method) (in module ngraph.opset1.ops) (in module ngraph.opset2.ops) (in module ngraph.opset3.ops) (in module ngraph.opset4.ops) (in module ngraph.opset5.ops) (in module ngraph.opset6.ops) (in module ngraph.opset7.ops) (in module ngraph.utils.types) (ngraph.impl.Input method) (ngraph.impl.Node method) (ngraph.impl.op.Constant method) (ngraph.impl.op.Parameter method) (ngraph.impl.Output method) (ngraph.Node method) (ngraph.opset1.ops.Constant method) (ngraph.opset1.ops.Node method) (ngraph.opset1.ops.Parameter method) (ngraph.opset2.ops.Constant method) (ngraph.opset2.ops.Node method) (ngraph.opset2.ops.Parameter method) (ngraph.opset3.ops.Constant method) (ngraph.opset3.ops.Node method) (ngraph.opset3.ops.Parameter method) (ngraph.opset4.ops.Constant method) (ngraph.opset4.ops.Node method) (ngraph.opset4.ops.Parameter method) (ngraph.opset5.ops.Constant method) (ngraph.opset5.ops.Node method) (ngraph.opset5.ops.Parameter method) (ngraph.opset6.ops.Constant method) (ngraph.opset6.ops.Node method) (ngraph.opset6.ops.Parameter method) (ngraph.opset7.ops.Constant method) (ngraph.opset7.ops.Node method) (ngraph.opset7.ops.Parameter method) (ngraph.opset_utils.Node method) (ngraph.utils.broadcasting.Node method) (ngraph.utils.decorators.Node method) (ngraph.utils.node_factory.Node method) (ngraph.utils.node_factory.Output method) (ngraph.utils.reduction.Node method) (ngraph.utils.tensor_iterator_types.Node method) (ngraph.utils.tensor_iterator_types.Parameter method) (ngraph.utils.types.Constant method) (ngraph.utils.types.Node method) (ngraph.utils.types.Output method) get_element_type_str() (in module ngraph.opset1.ops) (in module ngraph.opset2.ops) (in module ngraph.opset3.ops) (in module ngraph.opset4.ops) (in module ngraph.opset5.ops) (in module ngraph.opset6.ops) (in module ngraph.opset7.ops) (in module ngraph.utils.types) get_equation function get_exec_graph_info() (openvino.inference_engine.ExecutableNetwork method) get_file_ext function get_file_name function get_friendly_name function, [1] get_friendly_name() (_pyngraph.Function method) (_pyngraph.Node method) (ngraph.Function method) (ngraph.helpers.Function method) (ngraph.impl.Function method) (ngraph.impl.Node method) (ngraph.impl.op.Constant method) (ngraph.impl.op.Parameter method) (ngraph.Node method) (ngraph.opset1.ops.Constant method) (ngraph.opset1.ops.Node method) (ngraph.opset1.ops.Parameter method) (ngraph.opset2.ops.Constant method) (ngraph.opset2.ops.Node method) (ngraph.opset2.ops.Parameter method) (ngraph.opset3.ops.Constant method) (ngraph.opset3.ops.Node method) (ngraph.opset3.ops.Parameter method) (ngraph.opset4.ops.Constant method) (ngraph.opset4.ops.Node method) (ngraph.opset4.ops.Parameter method) (ngraph.opset5.ops.Constant method) (ngraph.opset5.ops.Node method) (ngraph.opset5.ops.Parameter method) (ngraph.opset6.ops.Constant method) (ngraph.opset6.ops.Node method) (ngraph.opset6.ops.Parameter method) (ngraph.opset7.ops.Constant method) (ngraph.opset7.ops.Node method) (ngraph.opset7.ops.Parameter method) (ngraph.opset_utils.Node method) (ngraph.utils.broadcasting.Node method) (ngraph.utils.decorators.Node method) (ngraph.utils.node_factory.Node method) (ngraph.utils.reduction.Node method) (ngraph.utils.tensor_iterator_types.Node method) (ngraph.utils.tensor_iterator_types.Parameter method) (ngraph.utils.types.Constant method) (ngraph.utils.types.Node method) get_function function get_graph_size function get_group function, [1] get_idle_request_id() (openvino.inference_engine.ExecutableNetwork method) get_index function, [1], [2], [3], [4] get_index() (_pyngraph.Input method) (_pyngraph.Output method) (ngraph.impl.Input method) (ngraph.impl.Output method) (ngraph.utils.node_factory.Output method) (ngraph.utils.types.Output method) get_input_descriptions function, [1] get_input_element_type function get_input_partial_shape function get_input_shape function get_input_size function get_inputs_from function get_interval function get_is_relevant_to_shape function get_is_relevant_to_shapes function, [1] get_is_relevant_to_value function get_is_relevant_to_values function, [1] get_iter_value function get_k function get_keep_dims function, [1] get_kernel function, [1] get_length function get_length() (_pyngraph.Dimension method) (ngraph.impl.Dimension method) get_lower_value function get_max_length() (_pyngraph.Dimension method) (ngraph.impl.Dimension method) get_max_shape function get_max_shape() (_pyngraph.PartialShape method) (ngraph.impl.PartialShape method) (ngraph.opset1.ops.PartialShape method) get_max_val function get_merge_repeated function get_metric() (openvino.inference_engine.ExecutableNetwork method) (openvino.inference_engine.IECore method) get_min_length() (_pyngraph.Dimension method) (ngraph.impl.Dimension method) get_min_shape function get_min_shape() (_pyngraph.PartialShape method) (ngraph.impl.PartialShape method) (ngraph.opset1.ops.PartialShape method) get_min_val function get_mode function, [1] get_name function, [1], [2] get_name() (_pyngraph.Function method) (_pyngraph.Node method) (ngraph.Function method) (ngraph.helpers.Function method) (ngraph.impl.Function method) (ngraph.impl.Node method) (ngraph.impl.op.Constant method) (ngraph.impl.op.Parameter method) (ngraph.Node method) (ngraph.opset1.ops.Constant method) (ngraph.opset1.ops.Node method) (ngraph.opset1.ops.Parameter method) (ngraph.opset2.ops.Constant method) (ngraph.opset2.ops.Node method) (ngraph.opset2.ops.Parameter method) (ngraph.opset3.ops.Constant method) (ngraph.opset3.ops.Node method) (ngraph.opset3.ops.Parameter method) (ngraph.opset4.ops.Constant method) (ngraph.opset4.ops.Node method) (ngraph.opset4.ops.Parameter method) (ngraph.opset5.ops.Constant method) (ngraph.opset5.ops.Node method) (ngraph.opset5.ops.Parameter method) (ngraph.opset6.ops.Constant method) (ngraph.opset6.ops.Node method) (ngraph.opset6.ops.Parameter method) (ngraph.opset7.ops.Constant method) (ngraph.opset7.ops.Node method) (ngraph.opset7.ops.Parameter method) (ngraph.opset_utils.Node method) (ngraph.utils.broadcasting.Node method) (ngraph.utils.decorators.Node method) (ngraph.utils.node_factory.Node method) (ngraph.utils.reduction.Node method) (ngraph.utils.tensor_iterator_types.Node method) (ngraph.utils.tensor_iterator_types.Parameter method) (ngraph.utils.types.Constant method) (ngraph.utils.types.Node method) get_name_with_context function get_ndarray() (in module ngraph.utils.types) get_node function, [1], [2], [3], [4] get_node() (_pyngraph.Input method) (_pyngraph.Output method) (ngraph.impl.Input method) (ngraph.impl.Output method) (ngraph.utils.node_factory.Output method) (ngraph.utils.types.Output method) get_node_shared_ptr function, [1] get_number_of_channels() (openvino.inference_engine.PreProcessInfo method) get_ops() (_pyngraph.Function method) (ngraph.Function method) (ngraph.helpers.Function method) (ngraph.impl.Function method) get_ordered_ops() (_pyngraph.Function method) (ngraph.Function method) (ngraph.helpers.Function method) (ngraph.impl.Function method) get_origin_input_type function get_output function, [1] get_output_descriptions function, [1] get_output_element_type function, [1] get_output_element_type() (_pyngraph.Function method) (_pyngraph.Node method) (ngraph.Function method) (ngraph.helpers.Function method) (ngraph.impl.Function method) (ngraph.impl.Node method) (ngraph.impl.op.Constant method) (ngraph.impl.op.Parameter method) (ngraph.Node method) (ngraph.opset1.ops.Constant method) (ngraph.opset1.ops.Node method) (ngraph.opset1.ops.Parameter method) (ngraph.opset2.ops.Constant method) (ngraph.opset2.ops.Node method) (ngraph.opset2.ops.Parameter method) (ngraph.opset3.ops.Constant method) (ngraph.opset3.ops.Node method) (ngraph.opset3.ops.Parameter method) (ngraph.opset4.ops.Constant method) (ngraph.opset4.ops.Node method) (ngraph.opset4.ops.Parameter method) (ngraph.opset5.ops.Constant method) (ngraph.opset5.ops.Node method) (ngraph.opset5.ops.Parameter method) (ngraph.opset6.ops.Constant method) (ngraph.opset6.ops.Node method) (ngraph.opset6.ops.Parameter method) (ngraph.opset7.ops.Constant method) (ngraph.opset7.ops.Node method) (ngraph.opset7.ops.Parameter method) (ngraph.opset_utils.Node method) (ngraph.utils.broadcasting.Node method) (ngraph.utils.decorators.Node method) (ngraph.utils.node_factory.Node method) (ngraph.utils.reduction.Node method) (ngraph.utils.tensor_iterator_types.Node method) (ngraph.utils.tensor_iterator_types.Parameter method) (ngraph.utils.types.Constant method) (ngraph.utils.types.Node method) get_output_op function get_output_op() (_pyngraph.Function method) (ngraph.Function method) (ngraph.helpers.Function method) (ngraph.impl.Function method) get_output_padding function, [1] get_output_partial_shape function, [1] get_output_partial_shape() (_pyngraph.Function method) (_pyngraph.Node method) (ngraph.Function method) (ngraph.helpers.Function method) (ngraph.impl.Function method) (ngraph.impl.Node method) (ngraph.impl.op.Constant method) (ngraph.impl.op.Parameter method) (ngraph.Node method) (ngraph.opset1.ops.Constant method) (ngraph.opset1.ops.Node method) (ngraph.opset1.ops.Parameter method) (ngraph.opset2.ops.Constant method) (ngraph.opset2.ops.Node method) (ngraph.opset2.ops.Parameter method) (ngraph.opset3.ops.Constant method) (ngraph.opset3.ops.Node method) (ngraph.opset3.ops.Parameter method) (ngraph.opset4.ops.Constant method) (ngraph.opset4.ops.Node method) (ngraph.opset4.ops.Parameter method) (ngraph.opset5.ops.Constant method) (ngraph.opset5.ops.Node method) (ngraph.opset5.ops.Parameter method) (ngraph.opset6.ops.Constant method) (ngraph.opset6.ops.Node method) (ngraph.opset6.ops.Parameter method) (ngraph.opset7.ops.Constant method) (ngraph.opset7.ops.Node method) (ngraph.opset7.ops.Parameter method) (ngraph.opset_utils.Node method) (ngraph.utils.broadcasting.Node method) (ngraph.utils.decorators.Node method) (ngraph.utils.node_factory.Node method) (ngraph.utils.reduction.Node method) (ngraph.utils.tensor_iterator_types.Node method) (ngraph.utils.tensor_iterator_types.Parameter method) (ngraph.utils.types.Constant method) (ngraph.utils.types.Node method) get_output_shape function, [1], [2] get_output_shape() (_pyngraph.Function method) (_pyngraph.Node method) (ngraph.Function method) (ngraph.helpers.Function method) (ngraph.impl.Function method) (ngraph.impl.Node method) (ngraph.impl.op.Constant method) (ngraph.impl.op.Parameter method) (ngraph.Node method) (ngraph.opset1.ops.Constant method) (ngraph.opset1.ops.Node method) (ngraph.opset1.ops.Parameter method) (ngraph.opset2.ops.Constant method) (ngraph.opset2.ops.Node method) (ngraph.opset2.ops.Parameter method) (ngraph.opset3.ops.Constant method) (ngraph.opset3.ops.Node method) (ngraph.opset3.ops.Parameter method) (ngraph.opset4.ops.Constant method) (ngraph.opset4.ops.Node method) (ngraph.opset4.ops.Parameter method) (ngraph.opset5.ops.Constant method) (ngraph.opset5.ops.Node method) (ngraph.opset5.ops.Parameter method) (ngraph.opset6.ops.Constant method) (ngraph.opset6.ops.Node method) (ngraph.opset6.ops.Parameter method) (ngraph.opset7.ops.Constant method) (ngraph.opset7.ops.Node method) (ngraph.opset7.ops.Parameter method) (ngraph.opset_utils.Node method) (ngraph.utils.broadcasting.Node method) (ngraph.utils.decorators.Node method) (ngraph.utils.node_factory.Node method) (ngraph.utils.reduction.Node method) (ngraph.utils.tensor_iterator_types.Node method) (ngraph.utils.tensor_iterator_types.Parameter method) (ngraph.utils.types.Constant method) (ngraph.utils.types.Node method) get_output_size function, [1] get_output_size() (_pyngraph.Function method) (_pyngraph.Node method) (ngraph.Function method) (ngraph.helpers.Function method) (ngraph.impl.Function method) (ngraph.impl.Node method) (ngraph.impl.op.Constant method) (ngraph.impl.op.Parameter method) (ngraph.Node method) (ngraph.opset1.ops.Constant method) (ngraph.opset1.ops.Node method) (ngraph.opset1.ops.Parameter method) (ngraph.opset2.ops.Constant method) (ngraph.opset2.ops.Node method) (ngraph.opset2.ops.Parameter method) (ngraph.opset3.ops.Constant method) (ngraph.opset3.ops.Node method) (ngraph.opset3.ops.Parameter method) (ngraph.opset4.ops.Constant method) (ngraph.opset4.ops.Node method) (ngraph.opset4.ops.Parameter method) (ngraph.opset5.ops.Constant method) (ngraph.opset5.ops.Node method) (ngraph.opset5.ops.Parameter method) (ngraph.opset6.ops.Constant method) (ngraph.opset6.ops.Node method) (ngraph.opset6.ops.Parameter method) (ngraph.opset7.ops.Constant method) (ngraph.opset7.ops.Node method) (ngraph.opset7.ops.Parameter method) (ngraph.opset_utils.Node method) (ngraph.utils.broadcasting.Node method) (ngraph.utils.decorators.Node method) (ngraph.utils.node_factory.Node method) (ngraph.utils.reduction.Node method) (ngraph.utils.tensor_iterator_types.Node method) (ngraph.utils.tensor_iterator_types.Parameter method) (ngraph.utils.types.Constant method) (ngraph.utils.types.Node method)

get_output_target_inputs function get_output_tensor function get_outputs_to function get_ov_name_for_tensor() (ngraph.helpers.IENetwork method) (openvino.inference_engine.IENetwork method) get_overridden_output_type function get_pad_mode function get_pad_value function get_pads_begin function, [1], [2], [3], [4], [5], [6], [7], [8], [9] get_pads_end function, [1], [2], [3], [4], [5], [6], [7], [8], [9] get_parameter_index function get_parameters function get_parameters() (_pyngraph.Function method) (ngraph.Function method) (ngraph.helpers.Function method) (ngraph.impl.Function method) get_partial_shape function, [1], [2], [3], [4], [5], [6] get_partial_shape() (_pyngraph.Input method) (_pyngraph.Output method) (ngraph.impl.Input method) (ngraph.impl.op.Parameter method) (ngraph.impl.Output method) (ngraph.opset1.ops.Parameter method) (ngraph.opset2.ops.Parameter method) (ngraph.opset3.ops.Parameter method) (ngraph.opset4.ops.Parameter method) (ngraph.opset5.ops.Parameter method) (ngraph.opset6.ops.Parameter method) (ngraph.opset7.ops.Parameter method) (ngraph.utils.node_factory.Output method) (ngraph.utils.tensor_iterator_types.Parameter method) (ngraph.utils.types.Output method) get_pass_config function, [1] get_perf_counts() (openvino.inference_engine.InferRequest method) get_property function get_provenance_group_members function get_provided_axis function get_raw_pointer_node function get_reduction_axes function, [1] get_reduction_axes() (in module ngraph.utils.reduction) get_registered_node function get_registered_node_id function get_reset function get_result function get_result() (_pyngraph.Function method) (ngraph.Function method) (ngraph.helpers.Function method) (ngraph.impl.Function method) get_result_index function get_results function get_results() (_pyngraph.Function method) (ngraph.Function method) (ngraph.helpers.Function method) (ngraph.impl.Function method) get_rounding_type function get_rt_info function, [1], [2], [3], [4], [5] get_rt_info() (_pyngraph.Node method) (ngraph.impl.Node method) (ngraph.impl.op.Constant method) (ngraph.impl.op.Parameter method) (ngraph.Node method) (ngraph.opset1.ops.Constant method) (ngraph.opset1.ops.Node method) (ngraph.opset1.ops.Parameter method) (ngraph.opset2.ops.Constant method) (ngraph.opset2.ops.Node method) (ngraph.opset2.ops.Parameter method) (ngraph.opset3.ops.Constant method) (ngraph.opset3.ops.Node method) (ngraph.opset3.ops.Parameter method) (ngraph.opset4.ops.Constant method) (ngraph.opset4.ops.Node method) (ngraph.opset4.ops.Parameter method) (ngraph.opset5.ops.Constant method) (ngraph.opset5.ops.Node method) (ngraph.opset5.ops.Parameter method) (ngraph.opset6.ops.Constant method) (ngraph.opset6.ops.Node method) (ngraph.opset6.ops.Parameter method) (ngraph.opset7.ops.Constant method) (ngraph.opset7.ops.Node method) (ngraph.opset7.ops.Parameter method) (ngraph.opset_utils.Node method) (ngraph.utils.broadcasting.Node method) (ngraph.utils.decorators.Node method) (ngraph.utils.node_factory.Node method) (ngraph.utils.reduction.Node method) (ngraph.utils.tensor_iterator_types.Node method) (ngraph.utils.tensor_iterator_types.Parameter method) (ngraph.utils.types.Constant method) (ngraph.utils.types.Node method) get_sequence_length_type function get_shape function, [1], [2], [3], [4], [5], [6], [7], [8] get_shape() (_pyngraph.Input method) (_pyngraph.Output method) (_pyngraph.PartialShape method) (in module ngraph.utils.types) (ngraph.impl.Input method) (ngraph.impl.Output method) (ngraph.impl.PartialShape method) (ngraph.opset1.ops.PartialShape method) (ngraph.utils.node_factory.Output method) (ngraph.utils.types.Output method) get_shape_val function get_sinks function get_size_in_bytes function get_source_output function, [1] get_source_output() (_pyngraph.Input method) (ngraph.impl.Input method) get_stale function get_static_nodes function get_strides function, [1], [2], [3], [4], [5], [6], [7], [8] get_strides_val function get_supported_operators function get_target_inputs function, [1] get_target_inputs() (_pyngraph.Output method) (ngraph.impl.Output method) (ngraph.utils.node_factory.Output method) (ngraph.utils.types.Output method) get_tensor function, [1], [2], [3], [4], [5] get_tensor_ptr function, [1], [2], [3] get_type_info function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75], [76], [77], [78], [79], [80], [81], [82], [83], [84], [85], [86], [87], [88], [89], [90], [91], [92], [93], [94], [95], [96], [97], [98], [99], [100], [101], [102], [103], [104] get_type_name() (_pyngraph.Node method) (_pyngraph.Type method) (ngraph.impl.Node method) (ngraph.impl.op.Constant method) (ngraph.impl.op.Parameter method) (ngraph.impl.Type method) (ngraph.Node method) (ngraph.opset1.ops.Constant method) (ngraph.opset1.ops.Node method) (ngraph.opset1.ops.Parameter method) (ngraph.opset2.ops.Constant method) (ngraph.opset2.ops.Node method) (ngraph.opset2.ops.Parameter method) (ngraph.opset3.ops.Constant method) (ngraph.opset3.ops.Node method) (ngraph.opset3.ops.Parameter method) (ngraph.opset4.ops.Constant method) (ngraph.opset4.ops.Node method) (ngraph.opset4.ops.Parameter method) (ngraph.opset5.ops.Constant method) (ngraph.opset5.ops.Node method) (ngraph.opset5.ops.Parameter method) (ngraph.opset6.ops.Constant method) (ngraph.opset6.ops.Node method) (ngraph.opset6.ops.Parameter method) (ngraph.opset7.ops.Constant method) (ngraph.opset7.ops.Node method) (ngraph.opset7.ops.Parameter method) (ngraph.opset_utils.Node method) (ngraph.utils.broadcasting.Node method) (ngraph.utils.decorators.Node method) (ngraph.utils.node_factory.Node method) (ngraph.utils.reduction.Node method) (ngraph.utils.tensor_iterator_types.Node method) (ngraph.utils.tensor_iterator_types.Parameter method) (ngraph.utils.types.Constant method) (ngraph.utils.types.Node method) get_univeral_handler function get_upper_value function get_users function get_value function get_value_map function get_value_strings function get_value_strings() (ngraph.impl.op.Constant method) (ngraph.opset1.ops.Constant method) (ngraph.opset2.ops.Constant method) (ngraph.opset3.ops.Constant method) (ngraph.opset4.ops.Constant method) (ngraph.opset5.ops.Constant method) (ngraph.opset6.ops.Constant method) (ngraph.opset7.ops.Constant method) (ngraph.utils.types.Constant method) get_variable function get_variable_by_id function get_variable_id function, [1], [2], [3], [4] get_variable_value function get_variable_values function get_variables function get_vector() (ngraph.impl.op.Constant method) (ngraph.opset1.ops.Constant method) (ngraph.opset2.ops.Constant method) (ngraph.opset3.ops.Constant method) (ngraph.opset4.ops.Constant method) (ngraph.opset5.ops.Constant method) (ngraph.opset6.ops.Constant method) (ngraph.opset7.ops.Constant method) (ngraph.utils.types.Constant method) get_version function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18] get_version() (in module openvino.inference_engine) get_versions() (openvino.inference_engine.IECore method) getAvailableCoresTypes function GetAvailableDevices function, [1] getAvailableNUMANodes function getBatchSize function, [1] GetBlob function, [1], [2], [3] getBlob function getBlockDims function getBlockingDesc function GetBoolAttr function, [1] getColorFormat function GetConfig function, [1], [2], [3], [4], [5] GetContext function, [1], [2] getContext function GetCore function GetDefaultContext function, [1] getDequantization function getDequantizationAttr function getDeviceName function, [1] getDims function, [1], [2] getenv_bool function getenv_int function getenv_string function GetExecGraphInfo function, [1], [2] getExecutor function GetFloatAttr function, [1] getFunction function, [1], [2], [3] getFusedNames function getFusedNamesVector function getIELibraryPath function getImplementation function, [1] getImplTypes function, [1] GetInferenceEngineVersion function getInput function getInputData function getInputShapes function GetInputsInfo function, [1], [2] getInputsInfo function, [1] getInstance function GetInt64Attr function, [1] GetIntAttr function, [1] GetIntChild function GetLastState function, [1], [2] getLayout function, [1], [2] getLayoutByDims function getMeanVariant function GetMetric function, [1], [2], [3], [4], [5] GetName function, [1], [2], [3] getName function, [1], [2] getNames function GetNumaNodeId function, [1] getNumberOfChannels function getNumberOfCPUCores function getOffsetPadding function getOffsetPaddingToData function getOpSets function, [1] getOrder function GetOutputsInfo function, [1], [2] getOutputsInfo function, [1] getOVNameForTensor function, [1] getParams function, [1] GetPerformanceCounts function, [1], [2], [3] getPrecision function, [1], [2] GetPrecisionAttr function, [1] getPrecVal function GetPreProcess function, [1], [2], [3] getPreProcess function, [1] getPrimitivesPriority function, [1] getResizeAlgorithm function GetState function, [1], [2] GetStrAttr function, [1] GetStreamId function, [1] getStrides function getSupportedConfigurations function getTensorDesc function, [1], [2], [3], [4], [5] Getting Performance Numbers page Getting Started with Demo Scripts page GetUInt64Attr function, [1] GetUIntAttr function, [1] GetUserData function, [1] getUserObject function getVectorNames function GetVersion function, [1], [2] GetVersions function global namespace Glossary page gmcnn-places2-tf page GNA Plugin page GNA_CONFIG_KEY define GNA_CONFIG_VALUE define Go Client for Prediction page GOIDHW enumvalue GOIHW enumvalue googlenet-v1 page googlenet-v1-tf page googlenet-v2 page googlenet-v2-tf page googlenet-v3 page googlenet-v3-pytorch page googlenet-v4-tf page GPU Plugin page GPU_CONFIG_KEY define gpu_handle_param typedef GPU_METRIC_KEY define GPU_PARAM_KEY define GPU_PARAM_VALUE define Graph API Kernel API page GraphBody (class in ngraph.opset1.ops) (class in ngraph.opset2.ops) (class in ngraph.opset3.ops) (class in ngraph.opset4.ops) (class in ngraph.opset5.ops) (class in ngraph.opset6.ops) (class in ngraph.opset7.ops) (class in ngraph.utils.tensor_iterator_types) Greater function, [1] page greater() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) greater_equal() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) GreaterEqual function, [1] page GRN function page grn() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) group Asynchronous Inference Request base classes Blob Blob creation and memory utilities Common optimization passes Conversion from opset2 to opset1 Conversion from opset3 to opset2 Core Error handling and debug helpers Executable Network base classes ExecutableNetwork Execution graph utilities File utilities FP16 to FP32 precision utilities Inference Engine C API Inference Engine C++ API Inference Engine Plugin API Inference Engine Transformation API Inference Request base classes InferRequest ITT profiling utilities Network nGraph C++ API Plugin base classes Preprocessing API Runtime information System configuration utilities Threading utilities Variable state base classes XML helper utilities group_convolution() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) group_convolution_backprop_data() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) GroupConvolution function, [1] page GroupConvolutionBackpropData function page gRPC API page gru_cell() (in module ngraph) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) gru_sequence() (in module ngraph) (in module ngraph.opset5) (in module ngraph.opset5.ops) (in module ngraph.opset6) (in module ngraph.opset7) GRUCell function, [1], [2] page GRUSequence page gstreamer-vaapi-patches page GVAMETAPUBLISH page gvapython Sample page

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handle function handle_t typedef Handwritten Text Recognition Demo page handwritten-japanese-recognition-0001 page handwritten-score-recognition-0003 page handwritten-simplified-chinese-recognition-0001 page hard_sigmoid() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) HardSigmoid function page has_and_set_bound function has_and_set_equal_bounds function has_evaluate function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75], [76], [77], [78], [79], [80], [81], [82], [83], [84], [85], [86], [87], [88], [89], [90], [91], [92], [93], [94], [95], [96], [97], [98], [99], [100], [101], [102], [103] has_factory function, [1] has_output function has_same_type function has_upper_bound function hasStorageType function hbonet-0.25 page hbonet-0.5 page hbonet-1.0 page HDDL Plugin page HDDL_BIND_DEVICE variable HDDL_DEVICE_TAG variable HDDL_GRAPH_TAG variable HDDL_GROUP_DEVICE variable HDDL_RUNTIME_PRIORITY variable HDDL_STREAM_ID variable HDDL_USE_SGAD variable head-pose-estimation-adas-0001 page Hello Classification C Sample page Hello Classification C++ Sample page Hello Classification Python* Sample page Hello NV12 Input Classification C Sample page Hello NV12 Input Classification C++ Sample page Hello Query Device C++ Sample page Hello Query Device Python* Sample page Hello Reshape SSD C++ Sample page

Hello Reshape SSD Python* Sample page Helm Deployment page HETERO_CONFIG_KEY define Heterogeneous Plugin page higher-hrnet-w32-human-pose-estimation page horizontal-text-detection-0001 page host_tensor_is_positive function How to configure Caffe launcher page How to configure MXNet launcher page How to configure ONNX Runtime launcher page How to configure OpenCV launcher page How to configure OpenVINO™ launcher page How to configure PaddlePaddle launcher page How to configure PyTorch launcher page How to configure TensorFlow 2.0 launcher page How to configure TensorFlow launcher page How to configure TensorFlow Lite launcher page How to Implement Custom GPU Operations page How to Implement Custom Layers for VPU (Intel® Neural Compute Stick 2) page How to use predefined configuration files page hrnet-v2-c1-segmentation page HSigmoid function page hsigmoid() (in module ngraph) (in module ngraph.opset5) (in module ngraph.opset5.ops) (in module ngraph.opset6) (in module ngraph.opset7) HSwish function page hswish() (in module ngraph) (in module ngraph.opset4) (in module ngraph.opset4.ops) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Human Pose Estimation C++ Demo page Human Pose Estimation Python* Demo page Human Pose Estimation Sample (gst-launch command line) page human-pose-estimation-0001 page human-pose-estimation-0005 page human-pose-estimation-0006 page human-pose-estimation-0007 page human-pose-estimation-3d-0001 page HW enumvalue HWC enumvalue HYBRID_AWARE enumvalue

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I16 enumvalue, [1] I32 enumvalue, [1] i3d-rgb-tf page I4 enumvalue, [1] I420 enumvalue I420Blob function, [1] I64 enumvalue, [1] I8 enumvalue, [1] icnet-camvid-ava-0001 page icnet-camvid-ava-sparse-30-0001 page icnet-camvid-ava-sparse-60-0001 page id variable, [1] IDFT function, [1] idft() (in module ngraph) (in module ngraph.opset7) (in module ngraph.opset7.ops) IE_ASSERT define ie_blob_byte_size function ie_blob_deallocate function ie_blob_free function ie_blob_get_dims function ie_blob_get_layout function ie_blob_get_precision function ie_blob_make_memory function ie_blob_make_memory_from_preallocated function ie_blob_make_memory_i420 function ie_blob_make_memory_nv12 function ie_blob_make_memory_with_roi function ie_blob_size function ie_c_api_version function ie_config struct ie_core_add_extension function ie_core_available_devices_free function ie_core_create function ie_core_export_network function ie_core_free function ie_core_get_available_devices function ie_core_get_config function ie_core_get_metric function ie_core_get_versions function ie_core_import_network function ie_core_import_network_from_memory function ie_core_load_network function ie_core_load_network_from_file function ie_core_read_network function ie_core_read_network_from_memory function ie_core_register_plugin function ie_core_register_plugins function ie_core_set_config function ie_core_unregister_plugin function ie_core_versions_free function IE_DEFINE_EXTENSION_CREATE_FUNCTION define IE_DEFINE_PLUGIN_CREATE_FUNCTION define IE_EXCEPTION_SWITCH define ie_fp16 typedef ie_infer_request_free function ie_infer_request_get_blob function ie_infer_request_infer function ie_infer_request_infer_async function ie_infer_request_set_batch function ie_infer_request_set_blob function ie_infer_request_wait function ie_infer_set_completion_callback function ie_memcpy function ie_network_free function ie_network_get_color_format function ie_network_get_input_dims function ie_network_get_input_layout function ie_network_get_input_name function ie_network_get_input_precision function ie_network_get_input_resize_algorithm function ie_network_get_input_shapes function ie_network_get_inputs_number function ie_network_get_name function ie_network_get_output_dims function ie_network_get_output_layout function ie_network_get_output_name function ie_network_get_output_precision function ie_network_get_outputs_number function ie_network_input_shapes_free function ie_network_name_free function ie_network_reshape function ie_network_set_color_format function ie_network_set_input_layout function ie_network_set_input_precision function ie_network_set_input_resize_algorithm function ie_network_set_output_layout function ie_network_set_output_precision function ie_param_free function IE_SET_METRIC_RETURN define IE_THROW define ie_version struct ie_version_free function IE_VERSION_MAJOR define IE_VERSION_MINOR define IE_VERSION_PATCH define IECore (class in openvino.inference_engine) IENetwork (class in ngraph.helpers) (class in openvino.inference_engine) IExtensionPtr typedef IInferRequestInternal function Image Classification Async C++ Sample page Image Classification Async Python* Sample page Image Classification with Model Ensemble page Image Deblurring Python* Demo page Image Inpainting Python Demo page Image Processing C++ Demo page Image Retrieval Python* Demo page Image Segmentation C++ Demo page Image Segmentation Python* Demo page Image Translation Demo page image-retrieval-0001 page IMemoryState typedef IMemoryStateInternal typedef IMPL_TYPE variable Implementing a Face Beautification Algorithm page Import Darknet* YOLOv4 Model page Import Frozen TensorFlow* SSD MobileNet v1 COCO Tutorial page Import Model page Import MXNet* MobileNet v2 Tutorial page Import ONNX* MobileNet v2 Tutorial page Import Original Model page import_network() (openvino.inference_engine.IECore method) import_onnx_model function, [1], [2] ImportNetwork function, [1], [2], [3], [4], [5], [6], [7] inception-resnet-v2-tf page inConfs variable Infer function, [1], [2], [3] infer() (openvino.inference_engine.ExecutableNetwork method) (openvino.inference_engine.InferRequest method) infer_conv_backprop_auto_padding function infer_conv_backprop_output_spatial_shape function, [1] Inference Engine API Changes History page Inference Engine C API group Inference Engine C++ API group Inference Engine Developer Guide page Inference Engine Extensibility Mechanism page Inference Engine Memory Primitives page Inference Engine Plugin API group Inference Engine Samples page Inference Engine Transformation API group Inference Request base classes group InferenceEngine namespace InferenceEngine::AsyncInferRequestThreadSafeDefault class InferenceEngine::AsyncInferRequestThreadSafeDefault::DisableCallbackGuard struct InferenceEngine::AsyncInferRequestThreadSafeDefault::ImmediateStreamsExecutor struct InferenceEngine::BatchedBlob class InferenceEngine::Blob class InferenceEngine::BlockingDesc class InferenceEngine::CLDNNConfigParams namespace InferenceEngine::CNNNetwork class InferenceEngine::CompoundBlob class InferenceEngine::Core class InferenceEngine::CPUStreamsExecutor class InferenceEngine::Data class InferenceEngine::DataConfig struct InferenceEngine::DescriptionBuffer struct InferenceEngine::DeviceIDParser class InferenceEngine::Exception struct InferenceEngine::ExecutableNetwork class InferenceEngine::ExecutableNetworkThreadSafeDefault class InferenceEngine::ExecutorManager interface InferenceEngine::Extension class InferenceEngine::GNAConfigParams namespace InferenceEngine::gpu namespace InferenceEngine::gpu::ClBlob class InferenceEngine::gpu::ClBufferBlob class InferenceEngine::gpu::ClContext class InferenceEngine::gpu::ClImage2DBlob class InferenceEngine::gpu::D3DBufferBlob class InferenceEngine::gpu::D3DContext class InferenceEngine::gpu::D3DSurface2DBlob class InferenceEngine::gpu::VAContext class InferenceEngine::gpu::VASurfaceBlob class InferenceEngine::GPUConfigParams namespace InferenceEngine::GPUContextParams namespace InferenceEngine::HeteroConfigParams namespace InferenceEngine::I420Blob class InferenceEngine::IAllocator interface InferenceEngine::ICNNNetwork interface InferenceEngine::ICore interface InferenceEngine::IExecutableNetwork class InferenceEngine::IExecutableNetworkInternal interface InferenceEngine::IExtension class InferenceEngine::IInferencePlugin interface InferenceEngine::IInferencePlugin::VersionStore class InferenceEngine::IInferRequest class InferenceEngine::IInferRequestInternal interface InferenceEngine::ILayerExecImpl interface InferenceEngine::ILayerImpl interface InferenceEngine::ImmediateExecutor class InferenceEngine::InferenceEngineProfileInfo struct InferenceEngine::InferRequest class InferenceEngine::InferRequest::SetCallback struct

InferenceEngine::InferRequest::SetCallback<IInferRequest::CompletionCallback> struct InferenceEngine::InferRequest::SetCallback<std::function<void(InferRequest, StatusCode)>> struct InferenceEngine::InputInfo class InferenceEngine::IStreamsExecutor interface InferenceEngine::IStreamsExecutor::Config struct InferenceEngine::ITaskExecutor interface InferenceEngine::itt namespace InferenceEngine::itt::domains namespace InferenceEngine::IVariableState interface InferenceEngine::IVariableStateInternal interface InferenceEngine::LayerConfig struct InferenceEngine::LockedMemory class InferenceEngine::LockedMemory<const T> class InferenceEngine::LockedMemory<void> class InferenceEngine::MemoryBlob class InferenceEngine::Metrics namespace InferenceEngine::MultiDeviceConfigParams namespace InferenceEngine::NV12Blob class InferenceEngine::Parameter class InferenceEngine::Parameter::Any struct InferenceEngine::Parameter::CheckOperatorEqual struct InferenceEngine::Parameter::HasOperatorEqual struct InferenceEngine::Parameter::RealData struct InferenceEngine::PluginConfigInternalParams namespace InferenceEngine::PluginConfigParams namespace InferenceEngine::Precision class InferenceEngine::Precision::PrecisionInfo struct InferenceEngine::PrecisionTrait struct InferenceEngine::PrecisionUtils namespace InferenceEngine::PrecisionUtils::details namespace InferenceEngine::PreProcessChannel struct InferenceEngine::PreProcessInfo class InferenceEngine::QueryNetworkResult struct InferenceEngine::RemoteBlob class InferenceEngine::RemoteContext class InferenceEngine::ResponseDesc struct InferenceEngine::ROI struct InferenceEngine::TBlob class InferenceEngine::TensorDesc class InferenceEngine::UserValue union InferenceEngine::VariableState class InferenceEngine::Version struct InferenceEngine::Version::ApiVersion struct InferenceEngine::VPUConfigParams namespace InferImpl function InferRequest function, [1] group InferRequest (class in openvino.inference_engine) init function, [1] init() (openvino.inference_engine.PreProcessInfo method) initialized (openvino.inference_engine.CDataPtr attribute) (openvino.inference_engine.DataPtr attribute) inPlace variable Input function, [1], [2], [3] input function, [1] Input (class in _pyngraph) (class in ngraph.impl) input() (_pyngraph.Node method) (ngraph.impl.Node method) (ngraph.impl.op.Constant method) (ngraph.impl.op.Parameter method) (ngraph.Node method) (ngraph.opset1.ops.Constant method) (ngraph.opset1.ops.Node method) (ngraph.opset1.ops.Parameter method) (ngraph.opset2.ops.Constant method) (ngraph.opset2.ops.Node method) (ngraph.opset2.ops.Parameter method) (ngraph.opset3.ops.Constant method) (ngraph.opset3.ops.Node method) (ngraph.opset3.ops.Parameter method) (ngraph.opset4.ops.Constant method) (ngraph.opset4.ops.Node method) (ngraph.opset4.ops.Parameter method) (ngraph.opset5.ops.Constant method) (ngraph.opset5.ops.Node method) (ngraph.opset5.ops.Parameter method) (ngraph.opset6.ops.Constant method) (ngraph.opset6.ops.Node method) (ngraph.opset6.ops.Parameter method) (ngraph.opset7.ops.Constant method) (ngraph.opset7.ops.Node method) (ngraph.opset7.ops.Parameter method) (ngraph.opset_utils.Node method) (ngraph.utils.broadcasting.Node method) (ngraph.utils.decorators.Node method) (ngraph.utils.node_factory.Node method) (ngraph.utils.reduction.Node method) (ngraph.utils.tensor_iterator_types.Node method) (ngraph.utils.tensor_iterator_types.Parameter method) (ngraph.utils.types.Constant method) (ngraph.utils.types.Node method) input_blobs (openvino.inference_engine.InferRequest attribute) input_data (openvino.inference_engine.InputInfoCPtr attribute) (openvino.inference_engine.InputInfoPtr attribute) input_info (ngraph.helpers.IENetwork attribute) (openvino.inference_engine.ExecutableNetwork attribute) (openvino.inference_engine.IENetwork attribute) input_values function InputInfoCPtr (class in openvino.inference_engine) InputInfoPtr (class in openvino.inference_engine) inputs function, [1] inputs (ngraph.helpers.IENetwork attribute) (openvino.inference_engine.ExecutableNetwork attribute) (openvino.inference_engine.IENetwork attribute) (openvino.inference_engine.InferRequest attribute) inputs() (_pyngraph.Node method) (ngraph.impl.Node method) (ngraph.impl.op.Constant method) (ngraph.impl.op.Parameter method) (ngraph.Node method) (ngraph.opset1.ops.Constant method) (ngraph.opset1.ops.Node method) (ngraph.opset1.ops.Parameter method) (ngraph.opset2.ops.Constant method) (ngraph.opset2.ops.Node method) (ngraph.opset2.ops.Parameter method) (ngraph.opset3.ops.Constant method) (ngraph.opset3.ops.Node method) (ngraph.opset3.ops.Parameter method) (ngraph.opset4.ops.Constant method) (ngraph.opset4.ops.Node method) (ngraph.opset4.ops.Parameter method) (ngraph.opset5.ops.Constant method) (ngraph.opset5.ops.Node method) (ngraph.opset5.ops.Parameter method) (ngraph.opset6.ops.Constant method) (ngraph.opset6.ops.Node method) (ngraph.opset6.ops.Parameter method) (ngraph.opset7.ops.Constant method) (ngraph.opset7.ops.Node method) (ngraph.opset7.ops.Parameter method) (ngraph.opset_utils.Node method) (ngraph.utils.broadcasting.Node method) (ngraph.utils.decorators.Node method) (ngraph.utils.node_factory.Node method) (ngraph.utils.reduction.Node method) (ngraph.utils.tensor_iterator_types.Node method) (ngraph.utils.tensor_iterator_types.Parameter method) (ngraph.utils.types.Constant method) (ngraph.utils.types.Node method) InputsDataMap typedef InputShapes typedef insert function, [1], [2] Install and Configure Intel® Distribution of OpenVINO™ toolkit for Linux* page Install and Configure Intel® Distribution of OpenVINO™ toolkit for macOS* page Install and Configure Intel® Distribution of OpenVINO™ toolkit for Windows* 10 page Install DL Workbench from the Intel® Distribution for OpenVINO™ Toolkit Package page Install From Images and Repositories page Install Intel® Distribution of OpenVINO™ toolkit for Linux* from a Docker* Image page Install Intel® Distribution of OpenVINO™ toolkit for Linux* Using APT Repository page Install Intel® Distribution of OpenVINO™ toolkit for Linux* Using YUM Repository page Install Intel® Distribution of OpenVINO™ toolkit for Linux* with FPGA Support page Install Intel® Distribution of OpenVINO™ toolkit for Windows* from Docker* Image page Install Intel® Distribution of OpenVINO™ toolkit for Windows* with FPGA Support page Install Intel® Distribution of OpenVINO™ toolkit from Anaconda* Cloud page Install Intel® Distribution of OpenVINO™ Toolkit from PyPI Repository page Install OpenVINO™ toolkit for Raspbian* OS page Installation page Installing Model Optimizer Pre-Requisites page Instance Segmentation Python* Demo page instance-segmentation-security-0002 page instance-segmentation-security-0091 page instance-segmentation-security-0228 page instance-segmentation-security-1039 page instance-segmentation-security-1040 page INT8 Calibration page INT8 vs FP32 Comparison on Select Networks and Platforms page Integrate Inference Engine page Integrate Inference Engine with Your Python Application page Intel's Pre-Trained Models Device Support page Intel® Distribution of OpenVINO™ toolkit Benchmark Results page Intel® Movidius™ VPUs Programming Guide for Use with Intel® Distribution of OpenVINO™ toolkit page Intel® Movidius™ VPUs Setup Guide for Use with Intel® Distribution of OpenVINO™ toolkit page Interactive Face Detection C++ Demo page interface InferenceEngine::ExecutorManager InferenceEngine::IAllocator InferenceEngine::ICNNNetwork InferenceEngine::ICore InferenceEngine::IExecutableNetworkInternal InferenceEngine::IInferencePlugin InferenceEngine::IInferRequestInternal InferenceEngine::ILayerExecImpl InferenceEngine::ILayerImpl InferenceEngine::IStreamsExecutor InferenceEngine::ITaskExecutor InferenceEngine::IVariableState InferenceEngine::IVariableStateInternal Intermediate Representation Suitable for INT8 Inference page Interpolate function, [1], [2] page, [1] interpolate() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) InterpolateMode enum, [1] Interval function, [1], [2], [3] interval_bound_evaluator function Introduction to Inference Engine page Introduction to Inference Engine Device Query API page Introduction to Intel® Deep Learning Deployment Toolkit page Introduction to OpenCV Graph API (G-API) page Introduction to OpenVINO state API page Introduction to OpenVINO™ Security page Introduction to the nGraph page invalidate_values function InvariantInputDescription function Inverse Discrete Fourier Transformation (IDFT) page is function, [1], [2], [3], [4] is_any_clear function is_any_set function is_clear function is_disabled function, [1] is_dynamic function, [1], [2] is_dynamic() (_pyngraph.Dimension property) (_pyngraph.Function method) (_pyngraph.PartialShape property) (ngraph.Function method) (ngraph.helpers.Function method) (ngraph.impl.Dimension property) (ngraph.impl.Function method) (ngraph.impl.PartialShape property) (ngraph.opset1.ops.PartialShape property) is_enabled function, [1] is_float function is_non_negative_value() (in module ngraph.opset1.ops) (in module ngraph.opset2.ops) (in module ngraph.opset3.ops) (in module ngraph.opset4.ops) (in module ngraph.opset5.ops) (in module ngraph.opset6.ops) (in module ngraph.opset7.ops) (in module ngraph.utils.input_validation) is_operator_supported function is_positive_value() (in module ngraph.opset1.ops) (in module ngraph.opset2.ops) (in module ngraph.opset3.ops) (in module ngraph.opset4.ops) (in module ngraph.opset5.ops) (in module ngraph.opset6.ops) (in module ngraph.opset7.ops) (in module ngraph.utils.input_validation) is_set function is_static function, [1] is_static() (_pyngraph.Dimension property) (_pyngraph.PartialShape property) (ngraph.impl.Dimension property) (ngraph.impl.PartialShape property) (ngraph.opset1.ops.PartialShape property) isInitialized function isSigned function item_size (openvino.inference_engine.BlobBuffer attribute) items() (_pyngraph.PyRTMap method) iterate_files function ITT profiling utilities group

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Kaldi* Statistical Language Model Conversion Tool page KEY_AUTO_DEVICE_LIST variable KEY_CACHE_DIR variable KEY_CONFIG_FILE variable KEY_CPU_BIND_THREAD variable KEY_CPU_THREADS_NUM variable KEY_DEVICE_ID variable KEY_DUMP_EXEC_GRAPH_AS_DOT variable KEY_DYN_BATCH_ENABLED variable KEY_DYN_BATCH_LIMIT variable KEY_ENFORCE_BF16 variable

KEY_EXCLUSIVE_ASYNC_REQUESTS variable KEY_LOG_LEVEL variable KEY_PERF_COUNT variable keywords (ngraph.opset1.ops.partial attribute) (ngraph.opset2.ops.partial attribute) (ngraph.opset3.ops.partial attribute) (ngraph.opset4.ops.partial attribute) (ngraph.opset5.ops.partial attribute) (ngraph.opset6.ops.partial attribute) (ngraph.opset7.ops.partial attribute) (ngraph.utils.node_factory.partial attribute) Known Issues and Limitations page Known Issues and Limitations in the Model Optimizer page Kubernetes Operator page

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Label function, [1] landmarks-regression-retail-0009 page latency (openvino.inference_engine.InferRequest attribute) LAYER_TYPE variable layer_type variable layerCount function, [1] LayerStatus enum Layout enum layout (openvino.inference_engine.CDataPtr attribute) (openvino.inference_engine.DataPtr attribute) (openvino.inference_engine.InputInfoPtr attribute) (openvino.inference_engine.TensorDesc attribute) Learn Model Inference with OpenVINO™ API in JupyterLab* Environment page Learn Model Workflow with OpenVINO™ CLI in JupyterLab* Environment page Legal Information page Less function, [1] page less() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) less_equal() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) LessEqual function, [1] page license-plate-recognition-barrier-0001 page license-plate-recognition-barrier-0007 page Live Speech Recognition Demo page liveness_new_list variable load_network() (openvino.inference_engine.IECore method) LoadNetwork function, [1], [2], [3], [4], [5], [6], [7] lock function LOCK_FOR_READ enumvalue LOCK_FOR_WRITE enumvalue LockedMemory function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] LockOp enum Log function, [1] page log() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) log_softmax() (in module ngraph) (in module ngraph.opset5) (in module ngraph.opset5.ops) (in module ngraph.opset6) (in module ngraph.opset7) LOG_TYPE enum logical_and() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7)

logical_not() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) logical_or() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) logical_xor() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) LogicalAnd function, [1] page LogicalNot function, [1] page LogicalOr function page LogicalXor function page LogSoftMax page LogSoftmax function Loop function, [1] page loop() (in module ngraph) (in module ngraph.opset5) (in module ngraph.opset5.ops) (in module ngraph.opset6) (in module ngraph.opset7) Low Precision Optimization Guide page Low-Precision 8-bit Integer Inference page LowLatency function lowLatency2 function LRN function, [1] page lrn() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) lstm_cell() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset4.ops) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) lstm_sequence() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset5.ops) (in module ngraph.opset6) (in module ngraph.opset7) LSTMCell function, [1], [2], [3], [4] page LSTMSequence page LSTMWeightsFormat enum, [1]

M

m_transformation_callback function Machine Translation Python* Demo page machine-translation-nar-de-en-0002 page machine-translation-nar-en-de-0002 page machine-translation-nar-en-ru-0001 page machine-translation-nar-ru-en-0001 page major variable make_blob_with_precision function, [1], [2], [3] make_constant_node() (in module ngraph.opset1.ops) (in module ngraph.opset2.ops) (in module ngraph.opset3.ops) (in module ngraph.opset4.ops) (in module ngraph.opset5.ops) (in module ngraph.opset6.ops) (in module ngraph.opset7.ops) (in module ngraph.utils.broadcasting) (in module ngraph.utils.types) make_plain_blob function make_roi_desc function make_shared_blob function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] make_shared_blob_nv12 function, [1], [2] make_shared_context function, [1], [2] make_so_pointer function MakeDefaultMultiThreaded function makePath function Manager (class in ngraph.impl.passes) Manipulate Remote Machines page mask_rcnn_inception_resnet_v2_atrous_coco page mask_rcnn_inception_v2_coco page mask_rcnn_resnet101_atrous_coco page mask_rcnn_resnet50_atrous_coco page match function, [1], [2] Matcher function MatMul function page matmul() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) max_pool() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Maximum function, [1] page maximum() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) maximum_value function MaxPool function, [1] page MEAN_IMAGE enumvalue MEAN_VALUE enumvalue mean_variant (openvino.inference_engine.PreProcessInfo attribute) meanData variable meanValue variable MeanVariant enum MeanVariant (class in openvino.inference_engine) MemoryBlob function MemoryState typedef MemoryStateInternal typedef merge function, [1] merge_into function merge_rank function MergedInputDescription function Metadata Publishing Sample (gst-launch command line) page MetaPublish Listeners page METRIC_AVAILABLE_DEVICES variable METRIC_DEVICE_ARCHITECTURE variable METRIC_DEVICE_GOPS variable METRIC_DEVICE_THERMAL variable METRIC_DEVICE_TYPE variable METRIC_FULL_DEVICE_NAME variable METRIC_IMPORT_EXPORT_SUPPORT variable METRIC_KEY define METRIC_NETWORK_NAME variable METRIC_NUMBER_OF_EXEC_INFER_REQUESTS variable METRIC_NUMBER_OF_WAITING_INFER_REQUESTS variable METRIC_OPTIMAL_NUMBER_OF_INFER_REQUESTS variable METRIC_OPTIMIZATION_CAPABILITIES variable METRIC_RANGE_FOR_ASYNC_INFER_REQUESTS variable METRIC_RANGE_FOR_STREAMS variable METRIC_SUPPORTED_CONFIG_KEYS variable METRIC_SUPPORTED_METRICS variable METRIC_VALUE define Metrics page midasnet page Minimum function, [1] page minimum() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) minor variable Mish function page

mish() (in module ngraph) (in module ngraph.opset4) (in module ngraph.opset4.ops) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) MIXED enumvalue, [1] mixnet-l page mobilefacedet-v1-mxnet page mobilenet-ssd page mobilenet-v1-0.25-128 page mobilenet-v1-0.50-160 page mobilenet-v1-0.50-224 page mobilenet-v1-1.0-224 page mobilenet-v1-1.0-224-tf page mobilenet-v2 page mobilenet-v2-1.0-224 page mobilenet-v2-1.4-224 page mobilenet-v2-pytorch page mobilenet-v3-large-1.0-224-tf page mobilenet-v3-small-1.0-224-tf page Mod function, [1] page mod() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Mode enum Model Caching Overview page Model Downloader page, [1] Model Optimization Techniques page Model Optimizer Developer Guide page Model Optimizer Extensibility page Model Optimizer Frequently Asked Questions page Model Repository page Model Server in Docker Containers page Model Server Parameters page Model Version Policy page Model Zoo page module _pyngraph ngraph ngraph.exceptions ngraph.helpers ngraph.impl ngraph.impl.op ngraph.impl.passes ngraph.opset1 ngraph.opset1.ops ngraph.opset2 ngraph.opset2.ops ngraph.opset3 ngraph.opset3.ops ngraph.opset4 ngraph.opset4.ops ngraph.opset5 ngraph.opset5.ops ngraph.opset6 ngraph.opset6.ops ngraph.opset7 ngraph.opset7.ops ngraph.opset_utils ngraph.utils ngraph.utils.broadcasting ngraph.utils.decorators ngraph.utils.input_validation ngraph.utils.node_factory ngraph.utils.reduction ngraph.utils.tensor_iterator_types ngraph.utils.types openvino.inference_engine MonoDepth Python Demo page mozilla-deepspeech-0.6.1 page mozilla-deepspeech-0.8.2 page msg variable, [1] mtcnn (composite) page Multi Camera Multi Target Python* Demo page Multi-Channel Face Detection C++ Demo page Multi-Channel Human Pose Estimation C++ Demo page Multi-Channel Object Detection Yolov3 C++ Demo page Multi-Device Plugin page multi_byte_char_to_wstring function MULTI_CONFIG_KEY define Multiple-Model mode with a Config File page Multiply function, [1] page multiply() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) MVN function, [1], [2] page, [1] mvn() (in module ngraph) (in module ngraph.opset2) (in module ngraph.opset2.ops) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset6.ops) (in module ngraph.opset7) MVNEpsMode enum MYRIAD Plugin page myriad_compile tool page MYRIAD_CUSTOM_LAYERS variable MYRIAD_DDR_AUTO variable MYRIAD_DDR_TYPE variable MYRIAD_ENABLE_FORCE_RESET variable MYRIAD_ENABLE_HW_ACCELERATION variable MYRIAD_ENABLE_RECEIVING_TENSOR_TIME variable MYRIAD_PCIE variable MYRIAD_PROTOCOL variable MYRIAD_THROUGHPUT_STREAMS variable

N

name function, [1] variable, [1] name (ngraph.helpers.IENetwork attribute) (openvino.inference_engine.CDataPtr attribute) (openvino.inference_engine.DataPtr attribute) (openvino.inference_engine.IENetwork attribute) (openvino.inference_engine.InputInfoCPtr attribute) (openvino.inference_engine.InputInfoPtr attribute) (openvino.inference_engine.VariableState attribute) nameable_op() (in module ngraph.opset1.ops) (in module ngraph.opset2.ops) (in module ngraph.opset3.ops) (in module ngraph.opset4.ops) (in module ngraph.opset5.ops) (in module ngraph.opset6.ops) (in module ngraph.opset7.ops) (in module ngraph.opset_utils) (in module ngraph.utils.decorators) namedtuple() (in module openvino.inference_engine) namespace CheckOperatorEqual ExecGraphInfoSerialization FileUtils global InferenceEngine InferenceEngine::CLDNNConfigParams InferenceEngine::GNAConfigParams InferenceEngine::gpu InferenceEngine::GPUConfigParams InferenceEngine::GPUContextParams InferenceEngine::HeteroConfigParams InferenceEngine::itt InferenceEngine::itt::domains InferenceEngine::Metrics InferenceEngine::MultiDeviceConfigParams InferenceEngine::PluginConfigInternalParams InferenceEngine::PluginConfigParams InferenceEngine::PrecisionUtils InferenceEngine::PrecisionUtils::details InferenceEngine::VPUConfigParams ngraph ngraph::builder ngraph::descriptor ngraph::descriptor::layout ngraph::element ngraph::file_util ngraph::onnx_import ngraph::onnx_import::detail ngraph::onnx_import::error ngraph::onnx_import::error::node ngraph::op ngraph::op::internal ngraph::op::util ngraph::op::util::detail ngraph::op::util::error ngraph::op::v0 ngraph::op::v1 ngraph::op::v3 ngraph::op::v4 ngraph::op::v5 ngraph::op::v6 ngraph::op::v7 ngraph::opset1 ngraph::opset2 ngraph::opset3 ngraph::opset4 ngraph::opset5 ngraph::opset6 ngraph::opset7 ngraph::pass ngraph::pattern ngraph::pattern::op ngraph::reduction ngraph::runtime ONNX_NAMESPACE openvino openvino::itt std XMLParseUtils NC enumvalue NCDHW enumvalue NCHW enumvalue NDHWC enumvalue NearestMode enum Negative function, [1] page negative() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) netvlad-tf page Network group next function variable nfnet-f0 page ngraph module namespace nGraph Basic Concepts page nGraph C++ API group nGraph Debug Capabilities page nGraph Developer Guide page nGraph Function Creation C++ Sample page nGraph Function Creation Python* Sample page ngraph.exceptions module ngraph.helpers module ngraph.impl module ngraph.impl.op module ngraph.impl.passes module ngraph.opset1 module ngraph.opset1.ops module ngraph.opset2 module ngraph.opset2.ops module ngraph.opset3 module ngraph.opset3.ops module ngraph.opset4 module ngraph.opset4.ops module ngraph.opset5 module ngraph.opset5.ops module ngraph.opset6 module ngraph.opset6.ops module ngraph.opset7 module ngraph.opset7.ops module ngraph.opset_utils module ngraph.utils module ngraph.utils.broadcasting module ngraph.utils.decorators module ngraph.utils.input_validation module ngraph.utils.node_factory module ngraph.utils.reduction module ngraph.utils.tensor_iterator_types module ngraph.utils.types module ngraph::AttributeAdapter class ngraph::AttributeAdapter<AxisSet> class ngraph::AttributeAdapter<AxisVector> class ngraph::AttributeAdapter<bool> class ngraph::AttributeAdapter<Coordinate> class ngraph::AttributeAdapter<CoordinateDiff> class ngraph::AttributeAdapter<double> class ngraph::AttributeAdapter<element::Type> class ngraph::AttributeAdapter<element::Type_t> class ngraph::AttributeAdapter<float> class ngraph::AttributeAdapter<int16_t> class ngraph::AttributeAdapter<int32_t> class ngraph::AttributeAdapter<int64_t> class ngraph::AttributeAdapter<int8_t> class ngraph::AttributeAdapter<NodeVector> class ngraph::AttributeAdapter<op::AutoBroadcastSpec> class ngraph::AttributeAdapter<op::AutoBroadcastType> class ngraph::AttributeAdapter<op::BroadcastModeSpec> class ngraph::AttributeAdapter<op::BroadcastType> class ngraph::AttributeAdapter<op::EpsMode> class ngraph::AttributeAdapter<op::FrameworkNodeAttrs> class ngraph::AttributeAdapter<op::GeluApproximationMode> class ngraph::AttributeAdapter<op::LSTMWeightsFormat> class ngraph::AttributeAdapter<op::MVNEpsMode> class ngraph::AttributeAdapter<op::PadMode> class ngraph::AttributeAdapter<op::PadType> class ngraph::AttributeAdapter<op::RecurrentSequenceDirection> class ngraph::AttributeAdapter<op::RoundingType> class ngraph::AttributeAdapter<op::TopKMode> class ngraph::AttributeAdapter<op::TopKSortType> class ngraph::AttributeAdapter<op::v0::DepthToSpace::DepthToSpaceMode> class ngraph::AttributeAdapter<op::v0::Interpolate::InterpolateMode> class ngraph::AttributeAdapter<op::v0::SpaceToDepth::SpaceToDepthMode> class ngraph::AttributeAdapter<op::v1::BinaryConvolution::BinaryConvolutionMode> class ngraph::AttributeAdapter<op::v1::NonMaxSuppression::BoxEncodingType> class ngraph::AttributeAdapter<op::v1::Reverse::Mode> class ngraph::AttributeAdapter<op::v3::NonMaxSuppression::BoxEncodingType> class ngraph::AttributeAdapter<op::v3::ROIAlign::PoolingMode> class ngraph::AttributeAdapter<op::v4::Interpolate::CoordinateTransformMode> class ngraph::AttributeAdapter<op::v4::Interpolate::InterpolateMode> class ngraph::AttributeAdapter<op::v4::Interpolate::NearestMode> class ngraph::AttributeAdapter<op::v4::Interpolate::ShapeCalcMode> class ngraph::AttributeAdapter<op::v5::Loop::SpecialBodyPorts> class ngraph::AttributeAdapter<op::v5::NonMaxSuppression::BoxEncodingType> class ngraph::AttributeAdapter<op::v5::Round::RoundMode> class ngraph::AttributeAdapter<ParameterVector> class ngraph::AttributeAdapter<PartialShape> class ngraph::AttributeAdapter<reduction::Type> class ngraph::AttributeAdapter<ResultVector> class ngraph::AttributeAdapter<Shape> class ngraph::AttributeAdapter<std::shared_ptr<Function>> class ngraph::AttributeAdapter<std::shared_ptr<Node>> class ngraph::AttributeAdapter<std::shared_ptr<runtime::AlignedBuffer>> class ngraph::AttributeAdapter<std::shared_ptr<Variable>> class ngraph::AttributeAdapter<std::string> class ngraph::AttributeAdapter<std::vector<double>> class ngraph::AttributeAdapter<std::vector<float>> class ngraph::AttributeAdapter<std::vector<int16_t>> class ngraph::AttributeAdapter<std::vector<int32_t>> class ngraph::AttributeAdapter<std::vector<int64_t>> class ngraph::AttributeAdapter<std::vector<int8_t>> class ngraph::AttributeAdapter<std::vector<std::shared_ptr<ngraph::op::util::SubGraphOp::InputDescription>>> class ngraph::AttributeAdapter<std::vector<std::shared_ptr<ngraph::op::util::SubGraphOp::OutputDescription>>> class ngraph::AttributeAdapter<std::vector<std::string>> class ngraph::AttributeAdapter<std::vector<uint16_t>> class ngraph::AttributeAdapter<std::vector<uint32_t>> class ngraph::AttributeAdapter<std::vector<uint64_t>> class ngraph::AttributeAdapter<std::vector<uint8_t>> class ngraph::AttributeAdapter<Strides> class ngraph::AttributeAdapter<uint16_t> class ngraph::AttributeAdapter<uint32_t> class ngraph::AttributeAdapter<uint64_t> class ngraph::AttributeAdapter<uint8_t> class ngraph::AttributeVisitor class ngraph::AxisSet class ngraph::AxisVector class ngraph::bfloat16 class ngraph::bfloat16::F32 union ngraph::builder namespace ngraph::CheckFailure class ngraph::CheckLocInfo struct ngraph::ConstString class ngraph::Coordinate class ngraph::CoordinateDiff class ngraph::DequantizationAttr class ngraph::descriptor namespace ngraph::descriptor::Input class ngraph::descriptor::layout namespace ngraph::descriptor::Output class ngraph::descriptor::Tensor class ngraph::Dimension class ngraph::DirectValueAccessor class ngraph::DiscreteTypeInfo struct ngraph::element namespace ngraph::element::Type class ngraph::element_type_traits struct ngraph::element_type_traits<element::Type_t::bf16> struct ngraph::element_type_traits<element::Type_t::boolean> struct ngraph::element_type_traits<element::Type_t::f16> struct ngraph::element_type_traits<element::Type_t::f32> struct ngraph::element_type_traits<element::Type_t::f64> struct ngraph::element_type_traits<element::Type_t::i16> struct ngraph::element_type_traits<element::Type_t::i32> struct ngraph::element_type_traits<element::Type_t::i4> struct ngraph::element_type_traits<element::Type_t::i64> struct ngraph::element_type_traits<element::Type_t::i8> struct ngraph::element_type_traits<element::Type_t::u16> struct ngraph::element_type_traits<element::Type_t::u1> struct ngraph::element_type_traits<element::Type_t::u32> struct ngraph::element_type_traits<element::Type_t::u4> struct ngraph::element_type_traits<element::Type_t::u64> struct ngraph::element_type_traits<element::Type_t::u8> struct ngraph::EnumAttributeAdapterBase class ngraph::EnumMask class ngraph::EnumNames class ngraph::Evaluator class ngraph::Evaluator::ExecuteInst class ngraph::Evaluator::Inst class ngraph::Evaluator::ValueInst class ngraph::FactoryAttributeAdapter class ngraph::FactoryRegistry class ngraph::file_util namespace ngraph::float16 class ngraph::float16::F32 union ngraph::Function class ngraph::FusedNames class ngraph::IndirectScalarValueAccessor class ngraph::IndirectVectorValueAccessor class ngraph::Input class ngraph::Input<const Node> class ngraph::Input<Node> class ngraph::Interval class ngraph::Logger class ngraph::LogHelper class ngraph::ngraph_error class ngraph::Node class ngraph::NodeValidationFailure class ngraph::NullLogger struct ngraph::onnx_import namespace ngraph::onnx_import::detail namespace ngraph::onnx_import::error namespace ngraph::onnx_import::error::node namespace ngraph::onnx_import::error::node::UnknownAttribute struct ngraph::onnx_import::Node class ngraph::op namespace ngraph::op::AssignBase class ngraph::op::AutoBroadcastSpec struct ngraph::op::BroadcastModeSpec struct ngraph::op::ConvolutionIE class ngraph::op::DeconvolutionIE class ngraph::op::DetectionOutputAttrs struct ngraph::op::FrameworkNode class ngraph::op::FrameworkNodeAttrs class ngraph::op::internal namespace ngraph::op::internal::NonMaxSuppressionIEInternal class ngraph::op::Op class ngraph::op::PriorBoxAttrs struct ngraph::op::PriorBoxClusteredAttrs struct ngraph::op::ProposalAttrs struct ngraph::op::ReadValueBase class ngraph::op::Sink class ngraph::op::TemporaryReplaceOutputType class ngraph::op::TypeRelaxed class ngraph::op::TypeRelaxedBase class ngraph::op::util namespace ngraph::op::util::ActivationFunction class ngraph::op::util::ArithmeticReduction class ngraph::op::util::ArithmeticReductionKeepDims class ngraph::op::util::BinaryElementwiseArithmetic class ngraph::op::util::BinaryElementwiseComparison class ngraph::op::util::BinaryElementwiseLogical class ngraph::op::util::BroadcastBase class ngraph::op::util::detail namespace ngraph::op::util::EmbeddingBagOffsetsBase class ngraph::op::util::EmbeddingBagPackedBase class ngraph::op::util::error namespace ngraph::op::util::error::UnknownActivationFunction struct ngraph::op::util::FFTBase class ngraph::op::util::GatherBase class ngraph::op::util::IndexReduction class ngraph::op::util::LogicalReduction class ngraph::op::util::LogicalReductionKeepDims class ngraph::op::util::oi_pair struct ngraph::op::util::OpAnnotations class ngraph::op::util::RNNCellBase class ngraph::op::util::ScatterBase class ngraph::op::util::ScatterNDBase class ngraph::op::util::SubGraphOp class ngraph::op::util::SubGraphOp::BodyOutputDescription class ngraph::op::util::SubGraphOp::ConcatOutputDescription class ngraph::op::util::SubGraphOp::InputDescription class ngraph::op::util::SubGraphOp::InvariantInputDescription class ngraph::op::util::SubGraphOp::MergedInputDescription class ngraph::op::util::SubGraphOp::OutputDescription class ngraph::op::util::SubGraphOp::SliceInputDescription class ngraph::op::util::UnaryElementwiseArithmetic class ngraph::op::v0 namespace ngraph::op::v0::Abs class ngraph::op::v0::Acos class ngraph::op::v0::Asin class ngraph::op::v0::Atan class ngraph::op::v0::BatchNormInference class ngraph::op::v0::Ceiling class ngraph::op::v0::Clamp class ngraph::op::v0::Concat class ngraph::op::v0::Constant class ngraph::op::v0::Convert class ngraph::op::v0::Cos class ngraph::op::v0::Cosh class ngraph::op::v0::CTCGreedyDecoder class ngraph::op::v0::CumSum class ngraph::op::v0::DepthToSpace class ngraph::op::v0::DetectionOutput class ngraph::op::v0::Elu class ngraph::op::v0::Erf class ngraph::op::v0::Exp class ngraph::op::v0::FakeQuantize class ngraph::op::v0::Floor class ngraph::op::v0::Gelu class ngraph::op::v0::GRN class ngraph::op::v0::HardSigmoid class ngraph::op::v0::Interpolate class ngraph::op::v0::InterpolateAttrs struct ngraph::op::v0::Log class ngraph::op::v0::LRN class ngraph::op::v0::LSTMCell class ngraph::op::v0::LSTMSequence class ngraph::op::v0::MatMul class ngraph::op::v0::MVN class ngraph::op::v0::Negative class ngraph::op::v0::NormalizeL2 class ngraph::op::v0::Parameter class ngraph::op::v0::PRelu class ngraph::op::v0::PriorBox class ngraph::op::v0::PriorBoxClustered class ngraph::op::v0::Proposal class ngraph::op::v0::PSROIPooling class ngraph::op::v0::Range class ngraph::op::v0::RegionYolo class ngraph::op::v0::Relu class ngraph::op::v0::ReorgYolo class ngraph::op::v0::Result class ngraph::op::v0::ReverseSequence class ngraph::op::v0::RNNCell class ngraph::op::v0::ROIPooling class ngraph::op::v0::Selu class ngraph::op::v0::ShapeOf class ngraph::op::v0::ShuffleChannels class ngraph::op::v0::Sigmoid class ngraph::op::v0::Sign class ngraph::op::v0::Sin class ngraph::op::v0::Sinh class ngraph::op::v0::SpaceToDepth class ngraph::op::v0::Sqrt class ngraph::op::v0::SquaredDifference class ngraph::op::v0::Squeeze class ngraph::op::v0::Tan class ngraph::op::v0::Tanh class ngraph::op::v0::TensorIterator class ngraph::op::v0::Tile class ngraph::op::v0::Unsqueeze class ngraph::op::v0::Xor class ngraph::op::v1 namespace ngraph::op::v1::Add class ngraph::op::v1::AvgPool class ngraph::op::v1::BatchToSpace class ngraph::op::v1::BinaryConvolution class ngraph::op::v1::Broadcast class ngraph::op::v1::ConvertLike class ngraph::op::v1::Convolution class ngraph::op::v1::ConvolutionBackpropData class ngraph::op::v1::DeformableConvolution class ngraph::op::v1::DeformablePSROIPooling class ngraph::op::v1::Divide class ngraph::op::v1::Equal class ngraph::op::v1::FloorMod class ngraph::op::v1::Gather class ngraph::op::v1::GatherTree class ngraph::op::v1::Greater class ngraph::op::v1::GreaterEqual class ngraph::op::v1::GroupConvolution class ngraph::op::v1::GroupConvolutionBackpropData class ngraph::op::v1::Less class ngraph::op::v1::LessEqual class ngraph::op::v1::LogicalAnd class ngraph::op::v1::LogicalNot class ngraph::op::v1::LogicalOr class ngraph::op::v1::LogicalXor class ngraph::op::v1::Maximum class ngraph::op::v1::MaxPool class ngraph::op::v1::Minimum class ngraph::op::v1::Mod class

ngraph::op::v1::Multiply class ngraph::op::v1::NonMaxSuppression class ngraph::op::v1::NotEqual class ngraph::op::v1::OneHot class ngraph::op::v1::Pad class ngraph::op::v1::Power class ngraph::op::v1::ReduceLogicalAnd class ngraph::op::v1::ReduceLogicalOr class ngraph::op::v1::ReduceMax class ngraph::op::v1::ReduceMean class ngraph::op::v1::ReduceMin class ngraph::op::v1::ReduceProd class ngraph::op::v1::ReduceSum class ngraph::op::v1::Reshape class ngraph::op::v1::Reverse class ngraph::op::v1::Select class ngraph::op::v1::Softmax class ngraph::op::v1::SpaceToBatch class ngraph::op::v1::Split class ngraph::op::v1::StridedSlice class ngraph::op::v1::Subtract class ngraph::op::v1::TopK class ngraph::op::v1::Transpose class ngraph::op::v1::VariadicSplit class ngraph::op::v3 namespace ngraph::op::v3::Acosh class ngraph::op::v3::Asinh class ngraph::op::v3::Assign class ngraph::op::v3::Atanh class ngraph::op::v3::Broadcast class ngraph::op::v3::Bucketize class ngraph::op::v3::EmbeddingBagOffsetsSum class ngraph::op::v3::EmbeddingBagPackedSum class ngraph::op::v3::EmbeddingSegmentsSum class ngraph::op::v3::ExtractImagePatches class ngraph::op::v3::GRUCell class ngraph::op::v3::NonMaxSuppression class ngraph::op::v3::NonZero class ngraph::op::v3::ReadValue class ngraph::op::v3::ROIAlign class ngraph::op::v3::ScatterElementsUpdate class ngraph::op::v3::ScatterNDUpdate class ngraph::op::v3::ScatterUpdate class ngraph::op::v3::ShapeOf class ngraph::op::v3::TopK class ngraph::op::v4 namespace ngraph::op::v4::CTCLoss class ngraph::op::v4::HSwish class ngraph::op::v4::Interpolate class ngraph::op::v4::Interpolate::InterpolateAttrs struct ngraph::op::v4::LSTMCell class ngraph::op::v4::Mish class ngraph::op::v4::NonMaxSuppression class ngraph::op::v4::Proposal class ngraph::op::v4::Range class ngraph::op::v4::ReduceL1 class ngraph::op::v4::ReduceL2 class ngraph::op::v4::SoftPlus class ngraph::op::v4::Swish class ngraph::op::v5 namespace ngraph::op::v5::BatchNormInference class ngraph::op::v5::GatherND class ngraph::op::v5::GRUSequence class ngraph::op::v5::HSigmoid class ngraph::op::v5::LogSoftmax class ngraph::op::v5::Loop class ngraph::op::v5::Loop::SpecialBodyPorts struct ngraph::op::v5::LSTMSequence class ngraph::op::v5::NonMaxSuppression class ngraph::op::v5::RNNSequence class ngraph::op::v5::Round class ngraph::op::v6 namespace ngraph::op::v6::Assign class ngraph::op::v6::CTCGreedyDecoderSeqLen class ngraph::op::v6::ExperimentalDetectronDetectionOutput class ngraph::op::v6::ExperimentalDetectronDetectionOutput::Attributes struct ngraph::op::v6::ExperimentalDetectronGenerateProposalsSingleImage class ngraph::op::v6::ExperimentalDetectronGenerateProposalsSingleImage::Attributes struct ngraph::op::v6::ExperimentalDetectronPriorGridGenerator class ngraph::op::v6::ExperimentalDetectronPriorGridGenerator::Attributes struct ngraph::op::v6::ExperimentalDetectronROIFeatureExtractor class ngraph::op::v6::ExperimentalDetectronROIFeatureExtractor::Attributes struct ngraph::op::v6::ExperimentalDetectronTopKROIs class ngraph::op::v6::GatherElements class ngraph::op::v6::MVN class ngraph::op::v6::ReadValue class ngraph::op::v7 namespace ngraph::op::v7::DFT class ngraph::op::v7::Einsum class ngraph::op::v7::Gather class ngraph::op::v7::Gelu class ngraph::op::v7::IDFT class ngraph::op::v7::Roll class ngraph::OpSet class ngraph::opset1 namespace ngraph::opset2 namespace ngraph::opset3 namespace ngraph::opset4 namespace ngraph::opset5 namespace ngraph::opset6 namespace ngraph::opset7 namespace ngraph::Output class ngraph::Output<const Node> class ngraph::Output<Node> class ngraph::PartialShape class ngraph::pass namespace ngraph::pass::AddAddFusion class ngraph::pass::AddFakeQuantizeFusion class ngraph::pass::AddMultiplyFusion class ngraph::pass::BackwardGraphRewrite class ngraph::pass::BatchNormDecomposition class ngraph::pass::BatchToSpaceFusion class ngraph::pass::BidirectionalGRUSequenceDecomposition class ngraph::pass::BidirectionalLSTMSequenceDecomposition class ngraph::pass::BidirectionalRNNSequenceDecomposition class ngraph::pass::BidirectionalSequenceDecomposition class ngraph::pass::BinarizeWeights class ngraph::pass::BroadcastElementwiseFusion class ngraph::pass::ClampFusion class ngraph::pass::CommonOptimizations class ngraph::pass::ConstantFolding class ngraph::pass::ConvAddFusion class ngraph::pass::ConvertBatchToSpace class ngraph::pass::ConvertBroadcast3 class ngraph::pass::ConvertBroadcastToTiles class ngraph::pass::ConvertConvolution class ngraph::pass::ConvertConvolutions class ngraph::pass::ConvertDeconvolution class ngraph::pass::ConvertDepthToSpace class ngraph::pass::ConvertDivide class ngraph::pass::ConvertFP32ToFP16 class ngraph::pass::ConvertGather0D class ngraph::pass::ConvertGather1ToGather7 class ngraph::pass::ConvertGather7ToGather1 class ngraph::pass::ConvertGELU class ngraph::pass::ConvertGroupConvolution class ngraph::pass::ConvertGroupDeconvolution class ngraph::pass::ConvertGRUSequenceToTensorIterator class ngraph::pass::ConvertInterpolate1ToInterpolate4 class ngraph::pass::ConvertLSTMSequenceToTensorIterator class ngraph::pass::ConvertMinimum class ngraph::pass::ConvertMod class ngraph::pass::ConvertMVN1ToMVN6 class ngraph::pass::ConvertNegative class ngraph::pass::ConvertNMS1ToNMS5 class ngraph::pass::ConvertNMS3ToNMS5 class ngraph::pass::ConvertNMS4ToNMS5 class ngraph::pass::ConvertNMSToNMSIEInternal class ngraph::pass::ConvertOpSet2ToOpSet1 class ngraph::pass::ConvertOpSet3ToOpSet2 class ngraph::pass::ConvertPadToGroupConvolution class ngraph::pass::ConvertPrecision class ngraph::pass::ConvertQuantizeDequantize class ngraph::pass::ConvertReduceMaxToPooling class ngraph::pass::ConvertReduceMeanToPooling class ngraph::pass::ConvertReduceSumToPooling class ngraph::pass::ConvertReduceToPooling class ngraph::pass::ConvertRNNSequenceToTensorIterator class ngraph::pass::ConvertScatterElementsToScatter class ngraph::pass::ConvertShapeOf3 class ngraph::pass::ConvertShuffleChannels3 class ngraph::pass::ConvertSpaceToBatch class ngraph::pass::ConvertSpaceToDepth class ngraph::pass::ConvertSubtract class ngraph::pass::ConvertTensorIteratorToGRUSequence class ngraph::pass::ConvertTensorIteratorToLSTMSequence class ngraph::pass::ConvertTensorIteratorToRNNSequence class ngraph::pass::ConvertTopK3 class ngraph::pass::ConvFusion class ngraph::pass::ConvMultiplyFusion class ngraph::pass::ConvolutionBackpropDataMultiplyFusion class ngraph::pass::ConvolutionMultiplyFusion class ngraph::pass::ConvToBinaryConv class ngraph::pass::DeconvAddFusion class ngraph::pass::DepthToSpaceFusion class ngraph::pass::DilatedConvolutionConverter class ngraph::pass::DisableConvertConstantFoldingOnConstPath class ngraph::pass::EinsumDecomposition class ngraph::pass::EliminateUnsqueezeGather class ngraph::pass::FakeQuantizeDecomposition class ngraph::pass::FakeQuantizeMulFusion class ngraph::pass::FakeQuantizeReshapeFusion class ngraph::pass::FunctionPass class ngraph::pass::GatherNegativeConstIndicesNormalize class ngraph::pass::Gelu7Downgrade class ngraph::pass::GeluFusion class ngraph::pass::GeluFusionWithErfOne class ngraph::pass::GeluFusionWithErfThree class ngraph::pass::GeluFusionWithErfTwo class ngraph::pass::GraphRewrite class ngraph::pass::GroupConvolutionBackpropDataMultiplyFusion class ngraph::pass::GroupConvolutionMultiplyFusion class ngraph::pass::GroupedStridedSliceOptimizer class ngraph::pass::GRUCellDecomposition class ngraph::pass::HSigmoidDecomposition class ngraph::pass::HSigmoidFusion class ngraph::pass::HSigmoidFusionWithClamp class ngraph::pass::HSigmoidFusionWithoutRelu class ngraph::pass::HSigmoidFusionWithReluDiv class ngraph::pass::HSigmoidFusionWithReluMul class ngraph::pass::HSwishDecomposition class ngraph::pass::HSwishFusion class ngraph::pass::HSwishFusionWithClampDiv class ngraph::pass::HSwishFusionWithClampMul class ngraph::pass::HSwishFusionWithHSigmoidMul class ngraph::pass::HSwishFusionWithoutRelu class ngraph::pass::HSwishFusionWithReluDiv class ngraph::pass::HSwishFusionWithReluMul class ngraph::pass::InitNodeInfo class ngraph::pass::LinOpSequenceFusion class ngraph::pass::LogSoftmaxDecomposition class ngraph::pass::LowLatency2 class ngraph::pass::LSTMCellDecomposition class ngraph::pass::Manager class ngraph::pass::MatcherPass class ngraph::pass::MimicSetBatchSize class ngraph::pass::MishFusion class ngraph::pass::MulFakeQuantizeFusion class ngraph::pass::MultiplyMultiplyFusion class ngraph::pass::MVN6Decomposition class ngraph::pass::MVNFusion class ngraph::pass::MVNFusionWithConstantsInside class ngraph::pass::MVNFusionWithoutConstants class ngraph::pass::NopElimination class ngraph::pass::NormalizeL2Fusion class ngraph::pass::NormalizeL2FusionWithAdd class ngraph::pass::NormalizeL2FusionWithMax class ngraph::pass::PadFusion class ngraph::pass::PadFusionAvgPool class ngraph::pass::PadFusionConvolution class ngraph::pass::PadFusionConvolutionBackpropData class ngraph::pass::PadFusionGroupConvolution class ngraph::pass::PadFusionGroupConvolutionBackpropData class ngraph::pass::PadFusionMaxPool class ngraph::pass::PassBase class ngraph::pass::PassConfig class ngraph::pass::Proposal1Scales class ngraph::pass::Proposal4Scales class ngraph::pass::PullTransposeThroughFQUp class ngraph::pass::RecurrentGraphRewrite class ngraph::pass::ReduceL1Decomposition class ngraph::pass::ReduceL2Decomposition class ngraph::pass::ReluFakeQuantizeFusion class ngraph::pass::RemoveFilteringBoxesBySize class ngraph::pass::ReshapeAMatMul class ngraph::pass::ReshapeBMatMul class ngraph::pass::ReshapeTo1D class ngraph::pass::RNNCellDecomposition class ngraph::pass::Serialize class ngraph::pass::SetBatchSize class ngraph::pass::SharedSqueeze class ngraph::pass::SharedStridedSliceEraser class ngraph::pass::ShuffleChannelsFusion class ngraph::pass::SmartReshape class ngraph::pass::SoftmaxFusion class ngraph::pass::SoftPlusDecomposition class ngraph::pass::SoftPlusFusion class ngraph::pass::SoftPlusToMishFusion class ngraph::pass::SpaceToBatchFusion class ngraph::pass::SplitSqueezeConcatFusion class ngraph::pass::SqueezeStridedSlice class ngraph::pass::StridedSliceOptimization class ngraph::pass::StridedSliceSqueeze class ngraph::pass::SwishFusion class ngraph::pass::SwishFusionWithBeta class ngraph::pass::SwishFusionWithoutBeta class ngraph::pass::SwishFusionWithSigmoid class ngraph::pass::SwishFusionWithSigmoidWithBeta class ngraph::pass::TransposeFQReduction class ngraph::pass::TransposeFuse class ngraph::pass::TransposeMatMul class ngraph::pass::TransposeReduction class ngraph::pass::TransposeSinking class ngraph::pass::TransposeToReshape class ngraph::pass::UnrollTensorIterator class ngraph::pass::UselessStridedSliceEraser class ngraph::pass::Validate class ngraph::pass::VisualizeTree class ngraph::pass::WeightsDequantizeToFakeQuantize class ngraph::pattern namespace ngraph::pattern::Matcher class ngraph::pattern::MatcherState class ngraph::pattern::op namespace ngraph::pattern::op::Any class ngraph::pattern::op::AnyOf class ngraph::pattern::op::AnyOutput class ngraph::pattern::op::Branch class ngraph::pattern::op::Capture class ngraph::pattern::op::Label class ngraph::pattern::op::Or class ngraph::pattern::op::Pattern class ngraph::pattern::op::Skip class ngraph::pattern::op::True class ngraph::pattern::op::WrapType class ngraph::pattern::RecurrentMatcher class ngraph::PrimitivesPriority class ngraph::RawNodeOutput struct ngraph::reduction namespace ngraph::runtime namespace ngraph::runtime::AlignedBuffer class ngraph::runtime::HostTensor class ngraph::runtime::SharedBuffer class ngraph::runtime::Tensor class ngraph::Shape class ngraph::SlicePlan struct ngraph::stopwatch class ngraph::Strides class ngraph::unsupported_op class ngraph::ValueAccessor class ngraph::ValueAccessor<void*> class ngraph::ValueAccessor<void> class ngraph::Variable class ngraph::VariableContext class ngraph::VariableExtension class ngraph::VariableInfo struct ngraph::VariableValue class ngraph::Variant class ngraph::VariantImpl class ngraph::VariantWrapper class ngraph::VariantWrapper<DequantizationAttr> class ngraph::VariantWrapper<FusedNames> class ngraph::VariantWrapper<int64_t> class ngraph::VariantWrapper<PrimitivesPriority> class ngraph::VariantWrapper<std::string> class ngraph::VariantWrapper<VariableContext> class ngraph::VisitorAdapter class NGRAPH_CHECK define NGRAPH_RTTI_DECLARATION define NGRAPH_RTTI_DEFINITION define NGRAPH_UNREACHABLE define NgraphError NgraphType (in module ngraph.utils.types) NgraphTypeError, [1] NHWC enumvalue no_default_index function NO_RESIZE enumvalue Node (class in _pyngraph) (class in ngraph) (class in ngraph.impl) (class in ngraph.opset1.ops) (class in ngraph.opset2.ops) (class in ngraph.opset3.ops) (class in ngraph.opset4.ops) (class in ngraph.opset5.ops) (class in ngraph.opset6.ops) (class in ngraph.opset7.ops) (class in ngraph.opset_utils) (class in ngraph.utils.broadcasting) (class in ngraph.utils.decorators) (class in ngraph.utils.node_factory) (class in ngraph.utils.reduction) (class in ngraph.utils.tensor_iterator_types) (class in ngraph.utils.types) NodeFactory (class in _pyngraph) (class in ngraph.opset1.ops) (class in ngraph.opset2.ops) (class in ngraph.opset3.ops) (class in ngraph.opset4.ops) (class in ngraph.opset5.ops) (class in ngraph.opset6.ops) (class in ngraph.opset7.ops) (class in ngraph.opset_utils) (class in ngraph.utils.node_factory) NodeMap typedef Noise Suppression Python* Demo page noise-suppression-poconetlike-0001 page non_max_suppression() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset4.ops) (in module ngraph.opset5) (in module ngraph.opset5.ops) (in module ngraph.opset6) (in module ngraph.opset7) non_zero() (in module ngraph) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) NONE enumvalue, [1] NonMaxSuppression function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] page, [1], [2], [3] NonZero function, [1], [2], [3] page normalize_axes function normalize_axis function, [1], [2], [3] normalize_l2() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) NormalizeL2 function page not_equal() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) NOT_RUN enumvalue NotEqual function, [1] page NUMA enumvalue NV12 enumvalue NV12Blob function, [1]

O

Object Detection C++ Demo page Object Detection Model Tutorial page Object Detection Python* Demo page Object Detection SSD C Sample page Object Detection SSD C++ Sample page Object Detection SSD Python* Sample page Obtain Datasets page Obtain Models page OCL variable OCL_BUFFER variable OCL_IMAGE2D variable octave-densenet-121-0.125 page octave-resnet-101-0.125 page octave-resnet-200-0.125 page octave-resnet-26-0.25 page octave-resnet-50-0.125 page octave-resnext-101-0.25 page octave-resnext-50-0.25 page octave-se-resnet-50-0.125 page Offline Speech Recognition Demo page offset function, [1] OIDHW enumvalue OIHW enumvalue on_adapter function, [1], [2] on_attribute function on_finish function on_start function one_hot() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) OneHot function, [1] page Online Configuration Updates page ONNX Format Support page ONNX_NAMESPACE namespace op_handler typedef op_handler_map typedef Open Model Zoo Demos page open-closed-eye-0001 page OpenShift Operator page openvino namespace OpenVINO Model Server Demos page openvino.inference_engine module openvino::itt namespace openvino::itt::domain_ struct openvino::itt::handle_ struct openvino::itt::ScopedTask class openvino::itt::TaskChain class OpenVINO™ Deep Learning Workbench Overview page OpenVINO™ Deep Learning Workbench User Guide page OpenVINO™ Deployment Manager Guide page OpenVINO™ Family page OpenVINO™ Model Server page OpenVINO™ Model Server Benchmark Results page OpenVINO™ Model Server Client Library Samples page OpenVINO™ Model Server Troubleshooting page OpenVINO™ Python* package page OpenVINO™ Security Add-on page OpenVINO™ Toolkit Overview page OpenVINO™ Tools page Operations Specifications page Operator typedef operator bool function, [1], [2] operator cl::Buffer function operator cl::Context function operator cl::Image2D function operator cl_context function operator cl_mem function, [1] operator const ICNNNetwork & function operator const T & function operator const T * function, [1] operator ICNNNetwork & function operator ICNNNetwork::Ptr function operator ID3D11Buffer * function operator ID3D11Device * function operator ID3D11Texture2D * function operator Precision::ePrecision function operator S* function operator StatusCode function operator std::shared_ptr< IExecutableNetwork > function operator std::shared_ptr< IInferRequest > function operator std::shared_ptr< ngraph::Variant > function operator std::vector< Dimension > function operator T& function, [1] operator T&& function operator T* function operator VADisplay function operator VASurfaceID function operator! function, [1], [2] operator!= function, [1], [2], [3], [4] operator& function, [1] operator&= function, [1]

operator() function operator* function, [1] operator*= function, [1] operator+ function, [1], [2] operator+= function, [1] operator- function, [1] operator-= function operator< function operator<< function, [1], [2], [3], [4] operator= function, [1], [2], [3], [4] operator== function, [1], [2], [3], [4], [5], [6], [7], [8], [9] operator[] function, [1], [2], [3] OperatorSet typedef opset1 page opset2 page opset3 page opset4 page opset5 page opset6 page opset7 page Optical Character Recognition with Directed Acyclic Graph page Optimize Classification Model page Optimize Darknet* YOLOv4 Model page Optimize Instance Segmentation Model page Optimize Object Detection Model page Optimize Preprocessing Computation page Optimize Semantic Segmentation Model page Optimize Style Transfer Model page OPTIMIZED_OUT enumvalue Or function ORIGINAL_NAMES variable outConfs variable Output function, [1], [2], [3], [4], [5], [6], [7], [8] output function, [1] Output (class in _pyngraph) (class in ngraph.impl) (class in ngraph.utils.node_factory) (class in ngraph.utils.types) output() (_pyngraph.Node method) (ngraph.impl.Node method) (ngraph.impl.op.Constant method) (ngraph.impl.op.Parameter method) (ngraph.Node method) (ngraph.opset1.ops.Constant method) (ngraph.opset1.ops.Node method) (ngraph.opset1.ops.Parameter method) (ngraph.opset2.ops.Constant method) (ngraph.opset2.ops.Node method) (ngraph.opset2.ops.Parameter method) (ngraph.opset3.ops.Constant method) (ngraph.opset3.ops.Node method) (ngraph.opset3.ops.Parameter method) (ngraph.opset4.ops.Constant method) (ngraph.opset4.ops.Node method) (ngraph.opset4.ops.Parameter method) (ngraph.opset5.ops.Constant method) (ngraph.opset5.ops.Node method) (ngraph.opset5.ops.Parameter method) (ngraph.opset6.ops.Constant method) (ngraph.opset6.ops.Node method) (ngraph.opset6.ops.Parameter method) (ngraph.opset7.ops.Constant method) (ngraph.opset7.ops.Node method) (ngraph.opset7.ops.Parameter method) (ngraph.opset_utils.Node method) (ngraph.utils.broadcasting.Node method) (ngraph.utils.decorators.Node method) (ngraph.utils.node_factory.Node method) (ngraph.utils.reduction.Node method) (ngraph.utils.tensor_iterator_types.Node method) (ngraph.utils.tensor_iterator_types.Parameter method) (ngraph.utils.types.Constant method) (ngraph.utils.types.Node method) output_blobs (openvino.inference_engine.InferRequest attribute) OUTPUT_LAYOUTS variable OUTPUT_PRECISIONS variable outputs function, [1] outputs (ngraph.helpers.IENetwork attribute) (openvino.inference_engine.ExecutableNetwork attribute) (openvino.inference_engine.IENetwork attribute) (openvino.inference_engine.InferRequest attribute) outputs() (_pyngraph.Node method) (ngraph.impl.Node method) (ngraph.impl.op.Constant method) (ngraph.impl.op.Parameter method) (ngraph.Node method) (ngraph.opset1.ops.Constant method) (ngraph.opset1.ops.Node method) (ngraph.opset1.ops.Parameter method) (ngraph.opset2.ops.Constant method) (ngraph.opset2.ops.Node method) (ngraph.opset2.ops.Parameter method) (ngraph.opset3.ops.Constant method) (ngraph.opset3.ops.Node method) (ngraph.opset3.ops.Parameter method) (ngraph.opset4.ops.Constant method) (ngraph.opset4.ops.Node method) (ngraph.opset4.ops.Parameter method) (ngraph.opset5.ops.Constant method) (ngraph.opset5.ops.Node method) (ngraph.opset5.ops.Parameter method) (ngraph.opset6.ops.Constant method) (ngraph.opset6.ops.Node method) (ngraph.opset6.ops.Parameter method) (ngraph.opset7.ops.Constant method) (ngraph.opset7.ops.Node method) (ngraph.opset7.ops.Parameter method) (ngraph.opset_utils.Node method) (ngraph.utils.broadcasting.Node method) (ngraph.utils.decorators.Node method) (ngraph.utils.node_factory.Node method) (ngraph.utils.reduction.Node method) (ngraph.utils.tensor_iterator_types.Node method) (ngraph.utils.tensor_iterator_types.Parameter method) (ngraph.utils.types.Constant method) (ngraph.utils.types.Node method) OutputsDataMap typedef OV_ITT_DOMAIN define OV_ITT_SCOPE define OV_ITT_SCOPE_NEXT define OV_ITT_SCOPE_SKIP define OV_ITT_SCOPED_TASK define OV_ITT_TASK_CHAIN define OV_ITT_TASK_NEXT define OV_ITT_TASK_SKIP define Overview of Inference Engine C* API page Overview of Inference Engine Plugin Library page Overview of Inference Engine Python* API page Overview of OpenVINO Resources page Overview of OpenVINO™ Toolkit Intel's Pre-Trained Models page Overview of OpenVINO™ Toolkit Public Pre-Trained Models page Overview of Transformations API page ovmsclient python library page

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Pad function, [1], [2] page pad() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) PadMode enum PadType enum page "Hot Topic" How-To Links 3D Human Pose Estimation Python* Demo 3D Segmentation Python* Demo <a href="https://software.intel.com/en-us/openvino-toolkit" >OpenVINO<sup>&#8482;</sup> Toolkit</a> - DL Streamer repository [DEPRECATED] Configuration Guide for the Intel® Distribution of OpenVINO™ toolkit 2020.4 and the Intel® Vision Accelerator Design with an Intel® Arria® 10 FPGA SG2 (IEI's Mustang-F100-A10) on Linux* [DEPRECATED] Configuration Guide for the Intel® Distribution of OpenVINO™ toolkit and the Intel® Vision Accelerator Design with an Intel® Arria® 10 FPGA SG2 (IEI's Mustang-F100-A10) on Windows* [DEPRECATED] Convert ONNX* DLRM to the Intermediate Representation [DEPRECATED] Extending Model Optimizer with New Primitives [DEPRECATED] Intermediate Representation Notation Reference Catalog [DEPRECATED] Legacy Mode for Caffe* Custom Layers [DEPRECATED] Migration from Inference Engine Plugin API to Core API [DEPRECATED] ONNX* Importer API Tutorial [DEPRECATED] Sub-Graph Replacement in the Model Optimizer Abs Accuracy Configuration AccuracyAwareQuantization Algorithm aclnet aclnet-int8 Acos Acosh Action Recognition Python* Demo Action Recognition Sample (gst-launch command line) action-recognition-0001 (composite) Adapters Add Advanced DL Workbench Configurations Age and Gender Recognition via REST API age-gender-recognition-retail-0013 alexnet Annotation Converters anti-spoof-mn3 API Reference Guide API usage sample for classification task API usage sample for face detection task API usage sample for object_detection API usage sample for segmentation task, [1] API usage sample for speech task on GNA Architecture Asin Asinh asl-recognition-0004 Assign Asynchronous Inference Request Atan Atanh Audio Detection Sample (gst-launch command line) Auto-Device Plugin Automatic Speech Recognition C++ Sample Automatic Speech Recognition Python* Sample Available Operations Sets AvgPool Bare Metal and Virtual Hosts Batch Processing in OpenVINO™ Model Server BatchNormInference, [1] BatchToSpace Benchmark C++ Tool Benchmark Python* Tool Benchmark Sample BERT Named Entity Recognition Python* Demo BERT Question Answering Embedding Python* Demo BERT Question Answering Python* Demo bert-base-ner bert-large-uncased-whole-word-masking-squad-0001 bert-large-uncased-whole-word-masking-squad-emb-0001 bert-large-uncased-whole-word-masking-squad-int8-0001 bert-small-uncased-whole-word-masking-squad-0001 bert-small-uncased-whole-word-masking-squad-0002 bert-small-uncased-whole-word-masking-squad-emb-int8-0001 bert-small-uncased-whole-word-masking-squad-int8-0002 Bfloat16 Inference BinaryConvolution brain-tumor-segmentation-0001 brain-tumor-segmentation-0002 Broadcast, [1] Broadcast Rules For Elementwise Operations Bucketize Build Extension Library Using CMake* Build nGraph Function Build Plugin Using CMake* Build Your Application with Deployment Package Building a Face Analytics Pipeline C++ Client for Predictions caffenet Ceiling Clamp Classification C++ Demo Classification Model Tutorial Clients cocosnet Colorization Demo colorization-siggraph colorization-v2 common-sign-language-0001 common-sign-language-0002 Compare Performance between Two Versions of a Model Compile Tool Concat Configuration File Description Configuration Guide for Intel® Distribution of OpenVINO™ toolkit 2018R5 and the Intel® Programmable Acceleration Card with Intel® Arria® 10 FPGA GX on CentOS* Configuration Guide for Intel® Distribution of OpenVINO™ toolkit 2019R1/2019R2/2019R3/2020.1 and the Intel® Programmable Acceleration Card with Intel® Arria® 10 FPGA GX on CentOS or Ubuntu* Configuration Guide for Intel® Distribution of OpenVINO™ toolkit 2020.4 and the Intel® Programmable Acceleration Card with Intel® Arria® 10 GX FPGA on CentOS or Ubuntu* Configuration Guide for the Intel® Distribution of OpenVINO™ toolkit 2018R5 and the Intel® Vision Accelerator Design with an Intel® Arria® 10 FPGA (IEI's Mustang-F100-A10) on Linux* Configuration Guide for the Intel® Distribution of OpenVINO™ toolkit 2019R1 and the Intel® Vision Accelerator Design with an Intel® Arria® 10 FPGA (IEI's Mustang-F100-A10) on Linux* Configuration Guide for the Intel® Distribution of OpenVINO™ toolkit 2019R3 and the Intel® Vision Accelerator Design with an Intel® Arria® 10 FPGA SG1 and SG2 (IEI's Mustang-F100-A10) on Linux* Configuration Guide for the Intel® Distribution of OpenVINO™ toolkit and the Intel® Vision Accelerator Design with Intel® Movidius™ VPUs on Linux* Configure Environment Configure Transport Layer Security (TLS) Constant Convert Convert CRNN* Models to the Intermediate Representation (IR) Convert GNMT* Model to the Intermediate Representation (IR) Convert Kaldi* ASpIRE Chain Time Delay Neural Network (TDNN) Model to the Intermediate Representation Convert Neural Collaborative Filtering Model from TensorFlow* to the Intermediate Representation Convert ONNX* Faster R-CNN Model to the Intermediate Representation Convert ONNX* GPT-2 Model to the Intermediate Representation Convert ONNX* Mask R-CNN Model to the Intermediate Representation Convert PyTorch* BERT-NER to the Intermediate Representation Convert PyTorch* F3Net to the Intermediate Representation Convert PyTorch* QuartzNet to the Intermediate Representation Convert PyTorch* RCAN to the Intermediate Representation Convert PyTorch* RNN-T Model to the Intermediate Representation (IR) Convert PyTorch* YOLACT to the Intermediate Representation Convert TensorFlow Models for Serving Convert TensorFlow* Attention OCR Model to Intermediate Representation Convert TensorFlow* BERT Model to the Intermediate Representation Convert TensorFlow* DeepSpeech Model to the Intermediate Representation Convert TensorFlow* FaceNet Models to Intermediate Representation Convert TensorFlow* XLNet Model to the Intermediate Representation Converting a Caffe* Model Converting a Kaldi* Model Converting a Model to Intermediate Representation (IR) Converting a ONNX* Model Converting a PyTorch* Model Converting a Style Transfer Model from MXNet* Converting a TensorFlow* Model Converting an MXNet* Model Converting EfficientDet Models from TensorFlow Converting GluonCV* Models Converting RetinaNet Model from TensorFlow* to the Intermediate Representation Converting TensorFlow* Language Model on One Billion Word Benchmark to the Intermediate Representation Converting TensorFlow* Object Detection API Models Converting TensorFlow* Wide and Deep Family Models to the Intermediate Representation Converting TensorFlow*-Slim Image Classification Model Library Models Converting YOLO* Models to the Intermediate Representation (IR) ConvertLike Convolution ConvolutionBackpropData Cos Cosh CPU Kernel Custom Operations CPU Plugin Create a Yocto Image with Intel® Distribution of OpenVINO™ toolkit Create Accuracy Report Create Project Cross Check Tool, [1] Crossroad Camera C++ Demo CTCGreedyDecoder CTCGreedyDecoderSeqLen CTCLoss ctdet_coco_dlav0_384 ctdet_coco_dlav0_512 ctpn CumSum Custom Evaluators for Accuracy Checker Custom Model Loader Custom nGraph Operations Custom Node Development Guide Custom ONNX* Operators Custom Operations Guide Cut Datasets Cutting Off Parts of a Model DAG Scheduler: Combine Results from Two Models Data Readers Dataset Preparation Guide Dataset Types deblurgan-v2 Deep Learning accuracy validation framework Deep Learning Network Intermediate Representation and Operation Sets in OpenVINO™ Deep Learning Workbench Security, [1] deeplabv3 Default Model Optimizer Optimizations DefaultQuantization Algorithm DeformableConvolution DeformablePSROIPooling Demultiplexing in DAG densenet-121 densenet-121-caffe2 densenet-121-tf densenet-161 densenet-161-tf densenet-169 densenet-169-tf densenet-201 densenet-201-tf Deploy and Integrate Performance Criteria into Application Deploy BERT with Model Server Deploy Model Server in Kubernetes Deployment Optimization Guide Deployment Optimization Guide Additional Configurations Deprecated List DepthToSpace DetectionOutput Device Plugin Support Directed Acyclic Graph (DAG) Scheduler Discrete Fourier Transformation (DFT) Divide DL Streamer API reference DL Streamer Samples DL Workbench Key Concepts dla-34 Documentation Draw Face Attributes C++ Sample driver-action-recognition-adas-0002 (composite) Dynamic Batch Size with Automatic Model Reloading Dynamic batch size with OpenVINO™ Model Server Demultiplexer Dynamic Input Parameters Dynamic Shape with a Custom Node Dynamic Shape with Automatic Model Reloading Dynamic Shape with Binary Inputs Educational Resources about DL Workbench efficientdet-d0-tf efficientdet-d1-tf efficientnet-b0 efficientnet-b0-pytorch efficientnet-b0_auto_aug efficientnet-b5 efficientnet-b5-pytorch efficientnet-b7-pytorch efficientnet-b7_auto_aug Einsum Elu EmbeddingBagOffsetsSum EmbeddingBagPackedSum EmbeddingSegmentsSum emotions-recognition-retail-0003 Enable Authentication in DL Workbench End-to-end Command-line Interface example Equal Erf Executable Network Exp ExperimentalDetectronDetectionOutput ExperimentalDetectronGenerateProposalsSingleImage ExperimentalDetectronPriorGridGenerator ExperimentalDetectronROIFeatureExtractor ExperimentalDetectronTopKROIs Export Project Extending Model Optimizer for Custom MXNet* Operations Extending Model Optimizer with Caffe* Python Layers Extension Library ExtractImagePatches f3net Face Analysis Pipeline Face Detection Face Detection And Classification Python Sample Face Detection And Classification Sample (gst-launch command line) Face Detection MTCNN Python* Demo Face Recognition Python* Demo face-detection-0200 face-detection-0202 face-detection-0204 face-detection-0205 face-detection-0206 face-detection-adas-0001 face-detection-retail-0004 face-detection-retail-0005 face-detection-retail-0044 face-recognition-resnet100-arcface-onnx face-reidentification-retail-0095 faceboxes-pytorch facenet-20180408-102900 facial-landmarks-35-adas-0002 FakeQuantize fast-neural-style-mosaic-onnx faster-rcnn-resnet101-coco-sparse-60-0001 faster_rcnn_inception_resnet_v2_atrous_coco faster_rcnn_inception_v2_coco faster_rcnn_resnet101_coco faster_rcnn_resnet50_coco fastseg-large fastseg-small fcrn-dp-nyu-depth-v2-tf Floor FloorMod Formula Recognition Python* Demo formula-recognition-medium-scan-0001 (composite) formula-recognition-polynomials-handwritten-0001 (composite) forward-tacotron (composite) FPGA Plugin G-API Gaze Estimation Demo G-API Interactive Face Detection Demo Gather, [1] GatherElements GatherND GatherTree Gaze Estimation Demo gaze-estimation-adas-0002 GELU- Gaussian Error Linear Unit, [1] Gesture Recognition Python* Demo Get Started, [1] Get Started with Instructions Get Started with OpenVINO™ Toolkit on Linux* Get Started with OpenVINO™ Toolkit on macOS* Get Started with OpenVINO™ Toolkit on Raspbian* OS Get Started with OpenVINO™ Toolkit on Windows* Get Started with Sample and Demo Applications Getting Performance Numbers Getting Started with Demo Scripts Glossary gmcnn-places2-tf GNA Plugin Go Client for Prediction googlenet-v1 googlenet-v1-tf googlenet-v2 googlenet-v2-tf googlenet-v3 googlenet-v3-pytorch googlenet-v4-tf GPU Plugin Graph API Kernel API Greater GreaterEqual GRN GroupConvolution GroupConvolutionBackpropData gRPC API GRUCell GRUSequence gstreamer-vaapi-patches GVAMETAPUBLISH gvapython Sample Handwritten Text Recognition Demo handwritten-japanese-recognition-0001 handwritten-score-recognition-0003 handwritten-simplified-chinese-recognition-0001 HardSigmoid hbonet-0.25 hbonet-0.5 hbonet-1.0 HDDL Plugin head-pose-estimation-adas-0001 Hello Classification C Sample Hello Classification C++ Sample Hello Classification Python* Sample Hello NV12 Input Classification C Sample Hello NV12 Input Classification C++ Sample Hello Query Device C++ Sample Hello Query Device Python* Sample Hello Reshape SSD C++ Sample Hello Reshape SSD Python* Sample Helm Deployment Heterogeneous Plugin higher-hrnet-w32-human-pose-estimation horizontal-text-detection-0001 How to configure Caffe launcher How to configure MXNet launcher How to configure ONNX Runtime launcher How to configure OpenCV launcher How to configure OpenVINO™ launcher How to configure PaddlePaddle launcher How to configure PyTorch launcher How to configure TensorFlow 2.0 launcher How to configure TensorFlow launcher How to configure TensorFlow Lite launcher How to Implement Custom GPU Operations How to Implement Custom Layers for VPU (Intel® Neural Compute Stick 2) How to use predefined configuration files hrnet-v2-c1-segmentation HSigmoid HSwish Human Pose Estimation C++ Demo Human Pose Estimation Python* Demo Human Pose Estimation Sample (gst-launch command line) human-pose-estimation-0001 human-pose-estimation-0005 human-pose-estimation-0006 human-pose-estimation-0007 human-pose-estimation-3d-0001 i3d-rgb-tf icnet-camvid-ava-0001 icnet-camvid-ava-sparse-30-0001 icnet-camvid-ava-sparse-60-0001 Image Classification Async C++ Sample Image Classification Async Python* Sample Image Classification with Model Ensemble Image Deblurring Python* Demo Image Inpainting Python Demo Image Processing C++ Demo Image Retrieval Python* Demo Image Segmentation C++ Demo Image Segmentation Python* Demo Image Translation Demo image-retrieval-0001 Implementing a Face Beautification Algorithm Import Darknet* YOLOv4 Model Import Frozen TensorFlow* SSD MobileNet v1 COCO Tutorial Import Model Import MXNet* MobileNet v2 Tutorial Import ONNX* MobileNet v2 Tutorial Import Original Model inception-resnet-v2-tf Inference Engine API Changes History Inference Engine Developer Guide Inference Engine Extensibility Mechanism Inference Engine Memory Primitives Inference Engine Samples Install and Configure Intel® Distribution of OpenVINO™ toolkit for Linux* Install and Configure Intel® Distribution of OpenVINO™ toolkit for macOS* Install and Configure Intel® Distribution of OpenVINO™ toolkit for Windows* 10 Install DL Workbench from the Intel® Distribution for OpenVINO™ Toolkit Package Install From Images and Repositories Install Intel® Distribution of OpenVINO™ toolkit for Linux* from a Docker* Image Install Intel® Distribution of OpenVINO™ toolkit for Linux* Using APT Repository Install Intel® Distribution of OpenVINO™ toolkit for Linux* Using YUM Repository Install Intel® Distribution of OpenVINO™ toolkit for Linux* with FPGA Support Install Intel® Distribution of OpenVINO™ toolkit for Windows* from Docker* Image Install Intel® Distribution of OpenVINO™ toolkit for Windows* with FPGA Support Install Intel® Distribution of OpenVINO™ toolkit from Anaconda* Cloud Install Intel® Distribution of OpenVINO™ Toolkit from PyPI Repository Install OpenVINO™ toolkit for Raspbian* OS Installation Installing Model Optimizer Pre-Requisites Instance Segmentation Python* Demo instance-segmentation-security-0002 instance-segmentation-security-0091 instance-segmentation-security-0228 instance-segmentation-security-1039 instance-segmentation-security-1040 INT8 Calibration INT8 vs FP32 Comparison on Select Networks and Platforms Integrate Inference Engine Integrate Inference Engine with Your Python Application Intel's Pre-Trained Models Device Support Intel® Distribution of OpenVINO™ toolkit Benchmark Results Intel® Movidius™ VPUs Programming Guide for Use with Intel® Distribution of OpenVINO™ toolkit Intel® Movidius™ VPUs Setup Guide for Use with Intel® Distribution of OpenVINO™ toolkit Interactive Face Detection C++ Demo Intermediate Representation Suitable for INT8 Inference Interpolate, [1] Introduction to Inference Engine Introduction to Inference Engine Device Query API Introduction to Intel® Deep Learning Deployment Toolkit Introduction to OpenCV Graph API (G-API) Introduction to OpenVINO state API Introduction to OpenVINO™ Security Introduction to the nGraph Inverse Discrete Fourier Transformation (IDFT) Kaldi* Statistical Language Model Conversion Tool Known Issues and Limitations Known Issues and Limitations in the Model Optimizer Kubernetes Operator landmarks-regression-retail-0009 Learn Model Inference with OpenVINO™ API in JupyterLab* Environment Learn Model Workflow with OpenVINO™ CLI in JupyterLab* Environment Legal Information Less LessEqual license-plate-recognition-barrier-0001 license-plate-recognition-barrier-0007 Live Speech Recognition Demo Log LogicalAnd LogicalNot LogicalOr LogicalXor LogSoftMax Loop Low Precision Optimization Guide Low-Precision 8-bit Integer Inference LRN LSTMCell LSTMSequence Machine Translation Python* Demo machine-translation-nar-de-en-0002 machine-translation-nar-en-de-0002 machine-translation-nar-en-ru-0001 machine-translation-nar-ru-en-0001 Manipulate Remote Machines mask_rcnn_inception_resnet_v2_atrous_coco mask_rcnn_inception_v2_coco mask_rcnn_resnet101_atrous_coco mask_rcnn_resnet50_atrous_coco MatMul Maximum MaxPool Metadata Publishing Sample (gst-launch command line) MetaPublish Listeners Metrics midasnet Minimum Mish mixnet-l mobilefacedet-v1-mxnet mobilenet-ssd mobilenet-v1-0.25-128 mobilenet-v1-0.50-160 mobilenet-v1-0.50-224 mobilenet-v1-1.0-224 mobilenet-v1-1.0-224-tf mobilenet-v2 mobilenet-v2-1.0-224 mobilenet-v2-1.4-224 mobilenet-v2-pytorch mobilenet-v3-large-1.0-224-tf mobilenet-v3-small-1.0-224-tf Mod Model Caching Overview Model Downloader, [1] Model Optimization Techniques Model Optimizer Developer Guide Model Optimizer Extensibility Model Optimizer Frequently Asked Questions Model Repository Model Server in Docker Containers Model Server Parameters Model Version Policy Model Zoo MonoDepth Python Demo mozilla-deepspeech-0.6.1 mozilla-deepspeech-0.8.2 mtcnn (composite) Multi Camera Multi Target Python* Demo Multi-Channel Face Detection C++ Demo Multi-Channel Human Pose Estimation C++ Demo Multi-Channel Object Detection Yolov3 C++ Demo Multi-Device Plugin Multiple-Model mode with a Config File Multiply MVN, [1] MYRIAD Plugin myriad_compile tool Negative netvlad-tf nfnet-f0 nGraph Basic Concepts nGraph Debug Capabilities nGraph Developer Guide nGraph Function Creation C++ Sample nGraph Function Creation Python* Sample Noise Suppression Python* Demo noise-suppression-poconetlike-0001 NonMaxSuppression, [1], [2], [3] NonZero NormalizeL2 NotEqual Object Detection C++ Demo Object Detection Model Tutorial Object Detection Python* Demo Object Detection SSD C Sample Object Detection SSD C++ Sample Object Detection SSD Python* Sample Obtain Datasets Obtain Models octave-densenet-121-0.125 octave-resnet-101-0.125 octave-resnet-200-0.125 octave-resnet-26-0.25 octave-resnet-50-0.125 octave-resnext-101-0.25 octave-resnext-50-0.25 octave-se-resnet-50-0.125 Offline Speech Recognition Demo OneHot Online Configuration Updates ONNX Format Support Open Model Zoo Demos open-closed-eye-0001 OpenShift Operator OpenVINO Model Server Demos OpenVINO™ Deep Learning Workbench Overview OpenVINO™ Deep Learning Workbench User Guide OpenVINO™ Deployment Manager Guide OpenVINO™ Family OpenVINO™ Model Server OpenVINO™ Model Server Benchmark Results OpenVINO™ Model Server Client Library Samples OpenVINO™ Model Server Troubleshooting OpenVINO™ Python* package OpenVINO™ Security Add-on OpenVINO™ Toolkit Overview OpenVINO™ Tools Operations Specifications opset1 opset2 opset3 opset4 opset5 opset6 opset7 Optical Character Recognition with Directed Acyclic Graph Optimize Classification Model Optimize Darknet* YOLOv4 Model Optimize Instance Segmentation Model Optimize Object Detection Model Optimize Preprocessing Computation Optimize Semantic Segmentation Model Optimize Style Transfer Model Overview of Inference Engine C* API Overview of Inference Engine Plugin Library Overview of Inference Engine Python* API Overview of OpenVINO Resources Overview of OpenVINO™ Toolkit Intel's Pre-Trained Models Overview of OpenVINO™ Toolkit Public Pre-Trained Models Overview of Transformations API ovmsclient python library Pad Parameter Pedestrian Tracker C++ Demo pedestrian-and-vehicle-detector-adas-0001 pedestrian-detection-adas-0002 pelee-coco Performance Benchmarks Performance Information Frequently Asked Questions Performance Optimization Guide Performance tuning person-attributes-recognition-crossroad-0230 person-attributes-recognition-crossroad-0234 person-attributes-recognition-crossroad-0238 person-detection-0106 person-detection-0200 person-detection-0201 person-detection-0202 person-detection-0203 person-detection-action-recognition-0005 person-detection-action-recognition-0006 person-detection-action-recognition-teacher-0002 person-detection-asl-0001 person-detection-raisinghand-recognition-0001 person-detection-retail-0002 person-detection-retail-0013 person-reidentification-retail-0277 person-reidentification-retail-0286 person-reidentification-retail-0287 person-reidentification-retail-0288 person-vehicle-bike-detection-2000 person-vehicle-bike-detection-2001 person-vehicle-bike-detection-2002 person-vehicle-bike-detection-2003 person-vehicle-bike-detection-2004 person-vehicle-bike-detection-crossroad-0078 person-vehicle-bike-detection-crossroad-1016 person-vehicle-bike-detection-crossroad-yolov3-1020 Place Recognition Python* Demo Plugin Plugin Testing Post-Training Optimization Best Practices Post-Training Optimization Tool Post-training Optimization Tool Post-Training Optimization Tool API Post-training Optimization Tool API Samples Post-training Optimization Tool Frequently Asked Questions Post-Training Optimization Tool Installation Guide Postprocessors Power Prediction with ONNX Models PReLU Preprocessors Prerequisites PriorBox PriorBoxClustered product-detection-0001 Profile on Remote Machine Proposal, [1] pspnet-pytorch PSROIPooling Public Pre-Trained Models Device Support Quantization Quantized networks compute and restrictions quartznet-15x5-en Quick Start with OpenVINO™ Toolkit via Deep Learning Workbench Quickstart Guide Range, [1] ReadValue Real-Time Horizontal Text Detection ReduceLogicalAnd ReduceLogicalOr ReduceLp, [1] ReduceMax ReduceMean ReduceMin ReduceProd ReduceSum RegionYolo Register Remote Target in DL Workbench regnetx-3.2gf ReLU Remote Blob API of GPU Plugin ReorgYolo Layer Representation of low-precision models, [1] repvgg-a0 repvgg-b1 repvgg-b3 Reshape resnest-50-pytorch resnet-18-pytorch resnet-34-pytorch resnet-50-caffe2 resnet-50-pytorch resnet-50-tf resnet18-xnor-binary-onnx-0001 resnet50-binary-0001 Resources RESTful API Restore DL Workbench State Result retinaface-resnet50-pytorch retinanet-tf Reverse ReverseSequence rexnet-v1-x1.0 rfcn-resnet101-coco-tf RNNCell RNNSequence road-segmentation-adas-0001 ROIAlign ROIPooling Roll Round Run Inference Run the Deep Learning Workbench Locally Run the DL Workbench in the Intel® DevCloud for the Edge Runtime Optimization Guide Sample ScatterElementsUpdate ScatterNDUpdate ScatterUpdate se-inception se-resnet-101 se-resnet-152 se-resnet-50 se-resnext-101 se-resnext-50 Securing Model Server with NGINX Security Barrier Camera C++ Demo Security Considerations Select Selu semantic-segmentation-adas-0001 Serving Stateful Models Set Accuracy Configuration Set Up Remote Target ShapeOf, [1] ShuffleChannels shufflenet-v2-x1.0 Sigmoid Sign Sin Single Human Pose Estimation Demo (top-down pipeline) single-human-pose-estimation-0001 single-image-super-resolution-1032 single-image-super-resolution-1033 Single-Model Mode Sinh Smart Classroom C++ Demo Social Distance C++ Demo SoftMax SoftPlus Sound Classification Python* Demo SpaceToBatch SpaceToDepth Speech Library Speech Library and Speech Recognition Demos Speech Recognition DeepSpeech Python* Demo Speech Recognition QuartzNet Python* Demo Sphereface Split Sqrt SquaredDifference Squeeze squeezenet1.0 squeezenet1.1 squeezenet1.1-caffe2 ssd-resnet34-1200-onnx ssd300 ssd512 ssd_mobilenet_v1_coco ssd_mobilenet_v1_fpn_coco ssd_mobilenet_v2_coco ssd_resnet50_v1_fpn_coco ssdlite_mobilenet_v2 Starting the Server StridedSlice Style Transfer C++ Sample Style Transfer Python* Sample Subtract Support for Binary Input Data Supported Devices Supported Framework Layers Swish Synchronous Inference Request Tan Tanh TensorFlow* Object Detection Mask R-CNNs Segmentation C++ Demo TensorIterator Text Detection C++ Demo Text Spotting Python* Demo text-detection-0003 text-detection-0004 text-image-super-resolution-0001 text-recognition-0012 text-recognition-0014 text-recognition-0015 (composite) text-recognition-resnet-fc text-spotting-0005 (composite) Text-to-speech Python* Demo text-to-speech-en-0001 (composite) text-to-speech-en-multi-0001 (composite) Tile Time Series Forecasting Python* Demo time-series-forecasting-electricity-0001 TopK, [1] TPE Multiple Node Configuration Based on MongoDB Database Transpose Tree-Structured Parzen Estimator (TPE) Troubleshooting Troubleshooting for DL Workbench in the Intel® DevCloud for the Edge TunableQuantization Algorithm Tuning Utilities Tutorials ultra-lightweight-face-detection-rfb-320 ultra-lightweight-face-detection-slim-320 unet-camvid-onnx-0001 Uninstalling the Intel® Distribution of OpenVINO™ Toolkit Unsqueeze Use Post-Training Optimization Tool Command-Line Interface Using AI Accelerators Using Cloud Storage as a Model Repository Using Dynamic Batching Using Encrypted Models with OpenVINO™ Using nGraph's Python API Using the Reshape Inference Feature VariadicSplit Vehicle Analysis Pipeline Vehicle and Pedestrian Tracking Sample (gst-launch command line) vehicle-attributes-recognition-barrier-0039 vehicle-attributes-recognition-barrier-0042 vehicle-detection-0200 vehicle-detection-0201 vehicle-detection-0202 vehicle-detection-adas-0002 vehicle-license-plate-detection-barrier-0106 vehicle-license-plate-detection-barrier-0123 vehicle-reid-0001 vgg16 vgg19 vgg19-caffe2 View Inference Results Visualize Model Visualize Model Output VPU Plugins wavernn (composite) weld-porosity-detection-0001 Whiteboard Inpainting Python* Demo Winograd Algorithmic Tuning Work with Docker* Container Work with Remote Targets yolact-resnet50-fpn-pytorch yolo-v1-tiny-tf yolo-v2-ava-0001 yolo-v2-ava-sparse-35-0001 yolo-v2-ava-sparse-70-0001 yolo-v2-tf yolo-v2-tiny-ava-0001 yolo-v2-tiny-ava-sparse-30-0001 yolo-v2-tiny-ava-sparse-60-0001 yolo-v2-tiny-tf yolo-v2-tiny-vehicle-detection-0001 yolo-v3-tf yolo-v3-tiny-tf yolo-v4-tf yolo-v4-tiny-tf

PARAM_CONTEXT_TYPE variable PARAM_DEV_OBJECT_HANDLE variable PARAM_MEM_HANDLE variable PARAM_OCL_CONTEXT variable PARAM_SHARED_MEM_TYPE variable PARAM_VA_DEVICE variable PARAM_VA_PLANE variable Parameter function, [1], [2], [3], [4], [5], [6], [7], [8] page Parameter (class in ngraph.impl.op) (class in ngraph.opset1.ops) (class in ngraph.opset2.ops) (class in ngraph.opset3.ops) (class in ngraph.opset4.ops) (class in ngraph.opset5.ops) (class in ngraph.opset6.ops) (class in ngraph.opset7.ops) (class in ngraph.utils.tensor_iterator_types) parameter() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) ParamMap typedef parse_equation function parse_result function struct parse_string function, [1] parse_string< float > function parse_string< int8_t > function parse_version_string function ParseXml function partial (class in ngraph.opset1.ops) (class in ngraph.opset2.ops) (class in ngraph.opset3.ops) (class in ngraph.opset4.ops) (class in ngraph.opset5.ops) (class in ngraph.opset6.ops) (class in ngraph.opset7.ops) (class in ngraph.utils.node_factory) PartialShape function, [1], [2], [3], [4] PartialShape (class in _pyngraph) (class in ngraph.impl) (class in ngraph.opset1.ops) PassProperty enum path_join function Pattern function Pedestrian Tracker C++ Demo page pedestrian-and-vehicle-detector-adas-0001 page pedestrian-detection-adas-0002 page pelee-coco page PERF_COUNTER variable Performance Benchmarks page Performance Information Frequently Asked Questions page Performance Optimization Guide page Performance tuning page person-attributes-recognition-crossroad-0230 page person-attributes-recognition-crossroad-0234 page person-attributes-recognition-crossroad-0238 page person-detection-0106 page person-detection-0200 page person-detection-0201 page person-detection-0202 page person-detection-0203 page person-detection-action-recognition-0005 page person-detection-action-recognition-0006 page person-detection-action-recognition-teacher-0002 page person-detection-asl-0001 page person-detection-raisinghand-recognition-0001 page person-detection-retail-0002 page person-detection-retail-0013 page person-reidentification-retail-0277 page person-reidentification-retail-0286 page person-reidentification-retail-0287 page person-reidentification-retail-0288 page person-vehicle-bike-detection-2000 page person-vehicle-bike-detection-2001 page person-vehicle-bike-detection-2002 page person-vehicle-bike-detection-2003 page person-vehicle-bike-detection-2004 page person-vehicle-bike-detection-crossroad-0078 page person-vehicle-bike-detection-crossroad-1016 page person-vehicle-bike-detection-crossroad-yolov3-1020 page Place Recognition Python* Demo page plane function, [1] Plugin page Plugin base classes group Plugin Testing page PoolingMode enum Post-Training Optimization Best Practices page Post-Training Optimization Tool page Post-training Optimization Tool page Post-Training Optimization Tool API page Post-training Optimization Tool API Samples page Post-training Optimization Tool Frequently Asked Questions page Post-Training Optimization Tool Installation Guide page Postprocessors page posX variable, [1] posY variable, [1] Power function page power() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Precision function, [1], [2] precision (openvino.inference_engine.CDataPtr attribute) (openvino.inference_engine.DataPtr attribute) (openvino.inference_engine.InputInfoCPtr attribute) (openvino.inference_engine.InputInfoPtr attribute) (openvino.inference_engine.TensorDesc attribute) precision_e enum Prediction with ONNX Models page PreferredCoreType enum PReLU page PRelu function prelu() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) preprocess_info (openvino.inference_engine.InferRequest attribute) (openvino.inference_engine.InputInfoPtr attribute) PreProcessChannel (class in openvino.inference_engine) PreProcessInfo (class in openvino.inference_engine) Preprocessing API group Preprocessors page Prerequisites page PrimitivesPriority function, [1] prior_box() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) prior_box_clustered() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) PriorBox function page PriorBoxClustered function page product-detection-0001 page Profile on Remote Machine page Proposal function, [1] page, [1] proposal() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset4.ops) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) pspnet-pytorch page psroi_pooling() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) PSROIPooling function page Ptr typedef, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37] Public Pre-Trained Models Device Support page PyRTMap (class in _pyngraph)

Q

Q78 enumvalue, [1] Quantization page Quantized networks compute and restrictions page quartznet-15x5-en page query_network() (openvino.inference_engine.IECore method)

query_state() (openvino.inference_engine.InferRequest method) QueryNetwork function, [1], [2] QueryState function, [1], [2], [3], [4], [5], [6] Quick Start with OpenVINO™ Toolkit via Deep Learning Workbench page Quickstart Guide page

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Range function, [1], [2], [3] page, [1] range() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Rank typedef rank function rank() (_pyngraph.PartialShape property) (ngraph.impl.PartialShape property) (ngraph.opset1.ops.PartialShape property) RAW enumvalue rbegin function, [1] rc variable read function, [1] read_network() (in module openvino.inference_engine) (openvino.inference_engine.IECore method) read_value() (in module ngraph) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset6.ops) (in module ngraph.opset7) ReadNetwork function, [1], [2], [3] readOnly function ReadValue function, [1] page ReadValueBase function Real-Time Horizontal Text Detection page realTime_uSec variable RecurrentMatcher function, [1] RecurrentSequenceDirection enum reduce_l1() (in module ngraph) (in module ngraph.opset4) (in module ngraph.opset4.ops) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) reduce_l2() (in module ngraph) (in module ngraph.opset4) (in module ngraph.opset4.ops) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) reduce_logical_and() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) reduce_logical_or() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) reduce_max() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) reduce_mean() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) reduce_min() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) reduce_prod() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) reduce_sum() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) ReduceL1 function, [1] ReduceL2 function, [1] ReduceLogicalAnd function page ReduceLogicalOr function page ReduceLp page, [1] ReduceMax function, [1] page ReduceMean function page ReduceMin function, [1] page ReduceProd function, [1] page ReduceSum function, [1] page reduction_axes_constant function, [1] refines function, [1] refines() (_pyngraph.Dimension method) (_pyngraph.PartialShape method) (ngraph.impl.Dimension method) (ngraph.impl.PartialShape method) (ngraph.opset1.ops.PartialShape method) region_yolo() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) RegionYolo function page Register Remote Target in DL Workbench page register_factory function, [1], [2] register_node function register_operator function register_pass function register_pass() (ngraph.impl.passes.Manager method) register_plugin() (openvino.inference_engine.IECore method) register_plugins() (openvino.inference_engine.IECore method) RegisterPlugin function RegisterPlugins function regnetx-3.2gf page relaxes function, [1] relaxes() (_pyngraph.Dimension method) (_pyngraph.PartialShape method) (ngraph.impl.Dimension method) (ngraph.impl.PartialShape method) (ngraph.opset1.ops.PartialShape method) Release function ReLU page Relu function relu() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Remote Blob API of GPU Plugin page RemoteBlob function remove_control_dependency function remove_output function remove_parameter function remove_provenance_group_member function remove_result function

remove_sink function remove_target_input function remove_variable function remove_variable_value function rend function, [1] reorg_yolo() (in module ngraph) (in module ngraph.opset2) (in module ngraph.opset2.ops) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) ReorgYolo function ReorgYolo Layer page replace function replace_node function, [1] replace_nodes function replace_output function, [1] replace_parameter function replace_provenance_group_member function replace_source_output function Representation of low-precision models page, [1] repvgg-a0 page repvgg-b1 page repvgg-b3 page requests (openvino.inference_engine.ExecutableNetwork attribute) Reset function, [1], [2] reset function reset() (openvino.inference_engine.VariableState method) reset_variable_context function Reshape function page reshape function, [1], [2], [3], [4] reshape() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) (ngraph.helpers.IENetwork method) (openvino.inference_engine.IENetwork method) resize_alg_e enum resize_algorithm (openvino.inference_engine.PreProcessInfo attribute) RESIZE_AREA enumvalue RESIZE_BILINEAR enumvalue ResizeAlgorithm enum ResizeAlgorithm (class in openvino.inference_engine) resnest-50-pytorch page resnet-18-pytorch page resnet-34-pytorch page resnet-50-caffe2 page resnet-50-pytorch page resnet-50-tf page resnet18-xnor-binary-onnx-0001 page resnet50-binary-0001 page Resources page resp variable RESTful API page Restore DL Workbench State page Result function, [1] page result() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) RESULT_READY enumvalue, [1] retinaface-resnet50-pytorch page retinanet-tf page Reverse function page reverse_sequence() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) ReverseSequence function page rexnet-v1-x1.0 page rfcn-resnet101-coco-tf page RGB enumvalue RGBX enumvalue rmap function, [1] rnn_cell() (in module ngraph) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) rnn_sequence() (in module ngraph) (in module ngraph.opset5) (in module ngraph.opset5.ops) (in module ngraph.opset6) (in module ngraph.opset7) RNNCell function, [1] page RNNCellBase function RNNSequence page road-segmentation-adas-0001 page ROI function roi struct roi_align() (in module ngraph) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) roi_pooling() (in module ngraph) (in module ngraph.opset2) (in module ngraph.opset2.ops) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) roi_t struct ROIAlign function page ROIPooling function page Roll function page roll() (in module ngraph) (in module ngraph.opset7) (in module ngraph.opset7.ops) Round function, [1] page round() (in module ngraph) (in module ngraph.opset5) (in module ngraph.opset5.ops) (in module ngraph.opset6) (in module ngraph.opset7) RoundingType enum RoundMode enum row_major_strides function run function, [1], [2] Run Inference page Run the Deep Learning Workbench Locally page Run the DL Workbench in the Intel® DevCloud for the Edge page run_passes() (ngraph.impl.passes.Manager method) runAndWait function Runtime information group Runtime Optimization Guide page RUNTIME_PRECISION variable rwmap function, [1]

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s_max variable same_scheme function, [1] same_scheme() (_pyngraph.Dimension method) (_pyngraph.PartialShape method) (ngraph.impl.Dimension method) (ngraph.impl.PartialShape method) (ngraph.opset1.ops.PartialShape method) Sample page sanitize_path function saturate_cast function, [1] SCALAR enumvalue scatter_elements_update() (in module ngraph) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) scatter_update() (in module ngraph) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) ScatterElementsUpdate function page ScatterNDUpdate function page ScatterUpdate function page ScopedTask function se-inception page se-resnet-101 page se-resnet-152 page se-resnet-50 page se-resnext-101 page se-resnext-50 page Securing Model Server with NGINX page Security Barrier Camera C++ Demo page Security Considerations page Select function, [1] page select() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Selu function page selu() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) semantic-segmentation-adas-0001 page serialize function, [1] serialize() (ngraph.helpers.IENetwork method) (ngraph.opset1.ops.GraphBody method) (ngraph.opset1.ops.TensorIteratorBodyOutputDesc method) (ngraph.opset1.ops.TensorIteratorConcatOutputDesc method) (ngraph.opset1.ops.TensorIteratorInvariantInputDesc method) (ngraph.opset1.ops.TensorIteratorMergedInputDesc method) (ngraph.opset1.ops.TensorIteratorSliceInputDesc method) (ngraph.opset2.ops.GraphBody method) (ngraph.opset2.ops.TensorIteratorBodyOutputDesc method) (ngraph.opset2.ops.TensorIteratorConcatOutputDesc method) (ngraph.opset2.ops.TensorIteratorInvariantInputDesc method) (ngraph.opset2.ops.TensorIteratorMergedInputDesc method) (ngraph.opset2.ops.TensorIteratorSliceInputDesc method) (ngraph.opset3.ops.GraphBody method) (ngraph.opset3.ops.TensorIteratorBodyOutputDesc method) (ngraph.opset3.ops.TensorIteratorConcatOutputDesc method) (ngraph.opset3.ops.TensorIteratorInvariantInputDesc method) (ngraph.opset3.ops.TensorIteratorMergedInputDesc method) (ngraph.opset3.ops.TensorIteratorSliceInputDesc method) (ngraph.opset4.ops.GraphBody method) (ngraph.opset4.ops.TensorIteratorBodyOutputDesc method) (ngraph.opset4.ops.TensorIteratorConcatOutputDesc method) (ngraph.opset4.ops.TensorIteratorInvariantInputDesc method) (ngraph.opset4.ops.TensorIteratorMergedInputDesc method) (ngraph.opset4.ops.TensorIteratorSliceInputDesc method) (ngraph.opset5.ops.GraphBody method) (ngraph.opset5.ops.TensorIteratorBodyOutputDesc method) (ngraph.opset5.ops.TensorIteratorConcatOutputDesc method) (ngraph.opset5.ops.TensorIteratorInvariantInputDesc method) (ngraph.opset5.ops.TensorIteratorMergedInputDesc method) (ngraph.opset5.ops.TensorIteratorSliceInputDesc method) (ngraph.opset6.ops.GraphBody method) (ngraph.opset6.ops.TensorIteratorBodyOutputDesc method) (ngraph.opset6.ops.TensorIteratorConcatOutputDesc method) (ngraph.opset6.ops.TensorIteratorInvariantInputDesc method) (ngraph.opset6.ops.TensorIteratorMergedInputDesc method) (ngraph.opset6.ops.TensorIteratorSliceInputDesc method) (ngraph.opset7.ops.GraphBody method) (ngraph.opset7.ops.TensorIteratorBodyOutputDesc method) (ngraph.opset7.ops.TensorIteratorConcatOutputDesc method) (ngraph.opset7.ops.TensorIteratorInvariantInputDesc method) (ngraph.opset7.ops.TensorIteratorMergedInputDesc method) (ngraph.opset7.ops.TensorIteratorSliceInputDesc method) (ngraph.utils.tensor_iterator_types.GraphBody method) (ngraph.utils.tensor_iterator_types.TensorIteratorBodyOutputDesc method) (ngraph.utils.tensor_iterator_types.TensorIteratorConcatOutputDesc method) (ngraph.utils.tensor_iterator_types.TensorIteratorInputDesc method) (ngraph.utils.tensor_iterator_types.TensorIteratorInvariantInputDesc method) (ngraph.utils.tensor_iterator_types.TensorIteratorMergedInputDesc method) (ngraph.utils.tensor_iterator_types.TensorIteratorOutputDesc method) (ngraph.utils.tensor_iterator_types.TensorIteratorSliceInputDesc method) (openvino.inference_engine.IENetwork method) Serving Stateful Models page set function, [1], [2], [3], [4], [5], [6], [7] Set Accuracy Configuration page Set Up Remote Target page set() (_pyngraph.VariantInt method) (_pyngraph.VariantString method) set_argument function set_arguments function, [1] set_batch() (openvino.inference_engine.InferRequest method) set_blob() (openvino.inference_engine.InferRequest method) set_body function set_broadcast function, [1] set_callback function, [1], [2], [3] set_classes_index_type function set_completion_callback() (openvino.inference_engine.InferRequest method) set_config() (openvino.inference_engine.ExecutableNetwork method) (openvino.inference_engine.IECore method) set_data_shape function set_default_handler function set_element_type function set_friendly_name function, [1] set_friendly_name() (_pyngraph.Function method) (_pyngraph.Node method) (ngraph.Function method) (ngraph.helpers.Function method) (ngraph.impl.Function method) (ngraph.impl.Node method) (ngraph.impl.op.Constant method) (ngraph.impl.op.Parameter method) (ngraph.Node method) (ngraph.opset1.ops.Constant method) (ngraph.opset1.ops.Node method) (ngraph.opset1.ops.Parameter method) (ngraph.opset2.ops.Constant method) (ngraph.opset2.ops.Node method) (ngraph.opset2.ops.Parameter method) (ngraph.opset3.ops.Constant method) (ngraph.opset3.ops.Node method) (ngraph.opset3.ops.Parameter method) (ngraph.opset4.ops.Constant method) (ngraph.opset4.ops.Node method) (ngraph.opset4.ops.Parameter method) (ngraph.opset5.ops.Constant method) (ngraph.opset5.ops.Node method) (ngraph.opset5.ops.Parameter method) (ngraph.opset6.ops.Constant method) (ngraph.opset6.ops.Node method) (ngraph.opset6.ops.Parameter method) (ngraph.opset7.ops.Constant method) (ngraph.opset7.ops.Node method) (ngraph.opset7.ops.Parameter method) (ngraph.opset_utils.Node method) (ngraph.utils.broadcasting.Node method) (ngraph.utils.decorators.Node method) (ngraph.utils.node_factory.Node method) (ngraph.utils.reduction.Node method) (ngraph.utils.tensor_iterator_types.Node method) (ngraph.utils.tensor_iterator_types.Parameter method) (ngraph.utils.types.Constant method) (ngraph.utils.types.Node method) set_invariant_input function set_lower_value function set_max_val function set_mean_image() (openvino.inference_engine.PreProcessInfo method) set_mean_image_for_channel() (openvino.inference_engine.PreProcessInfo method) set_merged_input function set_min_val function set_origin_input_type function set_output_size function set_overridden_output_type function set_partial_shape() (ngraph.impl.op.Parameter method) (ngraph.opset1.ops.Parameter method) (ngraph.opset2.ops.Parameter method) (ngraph.opset3.ops.Parameter method) (ngraph.opset4.ops.Parameter method) (ngraph.opset5.ops.Parameter method) (ngraph.opset6.ops.Parameter method) (ngraph.opset7.ops.Parameter method) (ngraph.utils.tensor_iterator_types.Parameter method) set_pass_config function, [1] set_per_pass_validation function set_per_pass_validation() (ngraph.impl.passes.Manager method) set_reduction_axes function set_reset function set_sequence_length_type function set_shape function set_sliced_input function set_stale function set_unary function set_univeral_handler function set_upper_value function set_value function set_variable function set_variable_id function set_variable_value function set_variable_values function SetBatch function, [1], [2], [3] setBatchSize function, [1] SetBlob function, [1], [2], [3], [4], [5], [6], [7] SetCallback function, [1] setColorFormat function SetCompletionCallback function, [1] SetConfig function, [1], [2], [3], [4], [5] SetCore function setDims function, [1] SetInput function setInputData function setLayout function, [1], [2] setMeanImage function setMeanImageForChannel function SetName function setName function setNetworkInputs function setNetworkOutputs function SetOutput function setPointerToExecutableNetworkInternal function SetPointerToPlugin function setPrecision function, [1], [2] setResizeAlgorithm function SetState function, [1], [2] SetUserData function, [1] setVariant function SetVersion function Shape (class in _pyngraph) (class in ngraph.impl) (class in ngraph.opset1.ops) (class in ngraph.opset2.ops) (class in ngraph.opset3.ops) (class in ngraph.opset4.ops) (class in ngraph.opset5.ops) (class in ngraph.opset6.ops) (class in ngraph.opset7.ops) (class in ngraph.utils.types) shape (openvino.inference_engine.CDataPtr attribute) (openvino.inference_engine.DataPtr attribute) shape_of() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) shape_size function ShapeCalcMode enum ShapeOf function, [1] page, [1] shuffle_channels() (in module ngraph) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) ShuffleChannels function page shufflenet-v2-x1.0 page Sigmoid page

sigmoid() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Sign function page sign() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Sin function page sin() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Single Human Pose Estimation Demo (top-down pipeline) page single-human-pose-estimation-0001 page single-image-super-resolution-1032 page single-image-super-resolution-1033 page Single-Model Mode page Sinh function page sinh() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) size function, [1], [2], [3], [4] SizeVector typedef sizeX variable, [1] sizeY variable, [1] SliceInputDescription function Smart Classroom C++ Demo page Social Distance C++ Demo page SoExecutableNetworkInternal typedef SoftMax page Softmax function softmax() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) SoftPlus function page softplus() (in module ngraph) (in module ngraph.opset4) (in module ngraph.opset4.ops) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) SoIInferRequestInternal typedef SoIVariableStateInternal typedef Sound Classification Python* Demo page space_to_batch() (in module ngraph) (in module ngraph.opset2) (in module ngraph.opset2.ops) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) space_to_depth() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) SpaceToBatch function page SpaceToDepth function page SpaceToDepthMode enum specialize_function function Speech Library page Speech Library and Speech Recognition Demos page Speech Recognition DeepSpeech Python* Demo page Speech Recognition QuartzNet Python* Demo page Sphereface page Split function, [1] page split() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Sqrt function page sqrt() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) squared_difference() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) SquaredDifference function, [1] page Squeeze page squeeze() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) squeezenet1.0 page squeezenet1.1 page squeezenet1.1-caffe2 page ssd-resnet34-1200-onnx page ssd300 page ssd512 page ssd_mobilenet_v1_coco page ssd_mobilenet_v1_fpn_coco page ssd_mobilenet_v2_coco page ssd_resnet50_v1_fpn_coco page ssdlite_mobilenet_v2 page start_async() (openvino.inference_engine.ExecutableNetwork method) start_match function start_structure function StartAsync function, [1], [2], [3] StartAsyncImpl function Starting the Server page state (openvino.inference_engine.VariableState attribute) status variable STATUS_ONLY enumvalue, [1] StatusCode enum StatusCode (class in openvino.inference_engine) std namespace std::hash<ngraph::DiscreteTypeInfo> struct std::numeric_limits<ngraph::bfloat16> class std::numeric_limits<ngraph::float16> class stdScale variable strided_slice() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) StridedSlice function, [1] page Strides (class in _pyngraph) (class in ngraph.impl) stringToFileName function struct desc FileUtils::DotSymbol FileUtils::DotSymbol<char> FileUtils::DotSymbol<wchar_t> FileUtils::FileTraits FileUtils::FileTraits<char> FileUtils::FileTraits<wchar_t> ie_config ie_version InferenceEngine::AsyncInferRequestThreadSafeDefault::DisableCallbackGuard InferenceEngine::AsyncInferRequestThreadSafeDefault::ImmediateStreamsExecutor InferenceEngine::DataConfig InferenceEngine::DescriptionBuffer InferenceEngine::Exception InferenceEngine::InferenceEngineProfileInfo InferenceEngine::InferRequest::SetCallback InferenceEngine::InferRequest::SetCallback<IInferRequest::CompletionCallback> InferenceEngine::InferRequest::SetCallback<std::function<void(InferRequest, StatusCode)>> InferenceEngine::IStreamsExecutor::Config InferenceEngine::LayerConfig InferenceEngine::Parameter::Any InferenceEngine::Parameter::CheckOperatorEqual InferenceEngine::Parameter::HasOperatorEqual InferenceEngine::Parameter::RealData InferenceEngine::Precision::PrecisionInfo InferenceEngine::PrecisionTrait InferenceEngine::PreProcessChannel InferenceEngine::QueryNetworkResult InferenceEngine::ResponseDesc InferenceEngine::ROI InferenceEngine::Version InferenceEngine::Version::ApiVersion ngraph::CheckLocInfo ngraph::DiscreteTypeInfo ngraph::element_type_traits ngraph::element_type_traits<element::Type_t::bf16> ngraph::element_type_traits<element::Type_t::boolean> ngraph::element_type_traits<element::Type_t::f16> ngraph::element_type_traits<element::Type_t::f32> ngraph::element_type_traits<element::Type_t::f64> ngraph::element_type_traits<element::Type_t::i16> ngraph::element_type_traits<element::Type_t::i32> ngraph::element_type_traits<element::Type_t::i4> ngraph::element_type_traits<element::Type_t::i64> ngraph::element_type_traits<element::Type_t::i8> ngraph::element_type_traits<element::Type_t::u16> ngraph::element_type_traits<element::Type_t::u1> ngraph::element_type_traits<element::Type_t::u32> ngraph::element_type_traits<element::Type_t::u4> ngraph::element_type_traits<element::Type_t::u64> ngraph::element_type_traits<element::Type_t::u8> ngraph::NullLogger ngraph::onnx_import::error::node::UnknownAttribute ngraph::op::AutoBroadcastSpec ngraph::op::BroadcastModeSpec ngraph::op::DetectionOutputAttrs ngraph::op::PriorBoxAttrs ngraph::op::PriorBoxClusteredAttrs ngraph::op::ProposalAttrs ngraph::op::util::error::UnknownActivationFunction ngraph::op::util::oi_pair ngraph::op::v0::InterpolateAttrs ngraph::op::v4::Interpolate::InterpolateAttrs ngraph::op::v5::Loop::SpecialBodyPorts ngraph::op::v6::ExperimentalDetectronDetectionOutput::Attributes ngraph::op::v6::ExperimentalDetectronGenerateProposalsSingleImage::Attributes ngraph::op::v6::ExperimentalDetectronPriorGridGenerator::Attributes ngraph::op::v6::ExperimentalDetectronROIFeatureExtractor::Attributes ngraph::RawNodeOutput ngraph::SlicePlan ngraph::VariableInfo openvino::itt::domain_ openvino::itt::handle_ parse_result roi roi_t std::hash<ngraph::DiscreteTypeInfo> tensor_desc Style Transfer C++ Sample page Style Transfer Python* Sample page subgraph_topological_sort function Subtract function page subtract() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Support for Binary Input Data page Supported Devices page Supported Framework Layers page SupportedKeys function supportedLayersMap variable Swish function page swish() (in module ngraph) (in module ngraph.opset4) (in module ngraph.opset4.ops) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Synchronous Inference Request page System configuration utilities group

T

Tan function page tan() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Tanh function page tanh() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Task typedef TaskChain function TBlob function, [1], [2], [3], [4] TemporaryReplaceOutputType function tensor_desc struct tensor_desc (openvino.inference_engine.Blob attribute) (openvino.inference_engine.InputInfoCPtr attribute) tensor_iterator() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) TensorDesc function, [1], [2], [3] TensorDesc (class in openvino.inference_engine) TensorFlow* Object Detection Mask R-CNNs Segmentation C++ Demo page TensorIterator page TensorIteratorBodyOutputDesc (class in ngraph.opset1.ops) (class in ngraph.opset2.ops) (class in ngraph.opset3.ops) (class in ngraph.opset4.ops) (class in ngraph.opset5.ops) (class in ngraph.opset6.ops) (class in ngraph.opset7.ops) (class in ngraph.utils.tensor_iterator_types) TensorIteratorConcatOutputDesc (class in ngraph.opset1.ops) (class in ngraph.opset2.ops) (class in ngraph.opset3.ops) (class in ngraph.opset4.ops) (class in ngraph.opset5.ops) (class in ngraph.opset6.ops) (class in ngraph.opset7.ops) (class in ngraph.utils.tensor_iterator_types) TensorIteratorInputDesc (class in ngraph.utils.tensor_iterator_types) TensorIteratorInvariantInputDesc (class in ngraph.opset1.ops) (class in ngraph.opset2.ops) (class in ngraph.opset3.ops) (class in ngraph.opset4.ops) (class in ngraph.opset5.ops) (class in ngraph.opset6.ops) (class in ngraph.opset7.ops) (class in ngraph.utils.tensor_iterator_types) TensorIteratorMergedInputDesc (class in ngraph.opset1.ops) (class in ngraph.opset2.ops) (class in ngraph.opset3.ops) (class in ngraph.opset4.ops) (class in ngraph.opset5.ops) (class in ngraph.opset6.ops) (class in ngraph.opset7.ops) (class in ngraph.utils.tensor_iterator_types) TensorIteratorOutputDesc (class in ngraph.utils.tensor_iterator_types) TensorIteratorSliceInputDesc (class in ngraph.opset1.ops) (class in ngraph.opset2.ops) (class in ngraph.opset3.ops) (class in ngraph.opset4.ops) (class in ngraph.opset5.ops) (class in ngraph.opset6.ops) (class in ngraph.opset7.ops) (class in ngraph.utils.tensor_iterator_types) Text Detection C++ Demo page Text Spotting Python* Demo page text-detection-0003 page text-detection-0004 page text-image-super-resolution-0001 page text-recognition-0012 page text-recognition-0014 page text-recognition-0015 (composite) page text-recognition-resnet-fc page text-spotting-0005 (composite) page Text-to-speech Python* Demo page text-to-speech-en-0001 (composite) page text-to-speech-en-multi-0001 (composite) page ThreadBindingType enum Threading utilities group ThreadLocal typedef threadName function Tile function page

tile() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Time Series Forecasting Python* Demo page time-series-forecasting-electricity-0001 page to_capsule() (_pyngraph.Function static method) (ngraph.Function static method) (ngraph.helpers.Function static method) (ngraph.impl.Function static method) to_numpy() (openvino.inference_engine.BlobBuffer method) to_shape function to_shape() (_pyngraph.PartialShape method) (ngraph.impl.PartialShape method) (ngraph.opset1.ops.PartialShape method) TopK function, [1], [2], [3] page, [1] topk() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset3.ops) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) TopKMode enum TopKSortType enum topological_sort function total_stride (openvino.inference_engine.BlobBuffer attribute) TPE Multiple Node Configuration Based on MongoDB Database page transfer_control_dependents function transfer_provenance_tags function transformation_callback function Transpose function page transpose() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) traverse_nodes function Tree-Structured Parzen Estimator (TPE) page Troubleshooting page Troubleshooting for DL Workbench in the Intel® DevCloud for the Edge page try_apply_auto_padding function TunableQuantization Algorithm page Tuning Utilities page Tutorials page Type enum Type (class in _pyngraph) (class in ngraph.impl) TYPE_CASE define Type_t enum type_to_fuse_map typedef typedef BlobMap Callback CDataPtr CompletionCallback ConstInputsDataMap ConstOutputsDataMap CPtr, [1], [2], [3], [4], [5], [6], [7], [8] DataPtr DataWeakPtr domain_t EvaluationContext gpu_handle_param handle_t ie_fp16 IExtensionPtr IMemoryState IMemoryStateInternal InputsDataMap InputShapes MemoryState MemoryStateInternal NodeMap op_handler op_handler_map Operator OperatorSet OutputsDataMap ParamMap Ptr, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37] Rank SizeVector SoExecutableNetworkInternal SoIInferRequestInternal SoIVariableStateInternal Task ThreadLocal type_to_fuse_map value_map value_type WeakPtr TypeRelaxed function

U

u function, [1] U16 enumvalue, [1] U32 enumvalue, [1] U4 enumvalue, [1] U64 enumvalue, [1] U8 enumvalue, [1] ultra-lightweight-face-detection-rfb-320 page ultra-lightweight-face-detection-slim-320 page unary_op() (in module ngraph.opset1.ops) (in module ngraph.opset2.ops) (in module ngraph.opset3.ops) (in module ngraph.opset4.ops) (in module ngraph.opset5.ops) (in module ngraph.opset6.ops) (in module ngraph.opset7.ops) (in module ngraph.utils.decorators) unet-camvid-onnx-0001 page Uninstalling the Intel® Distribution of OpenVINO™ Toolkit page union InferenceEngine::UserValue ngraph::bfloat16::F32 ngraph::float16::F32 Unload function, [1] unlock function

unregister_operator function unregister_plugin() (openvino.inference_engine.IECore method) UnregisterPlugin function UNSPECIFIED enumvalue, [1] Unsqueeze page unsqueeze() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) Use Post-Training Optimization Tool Command-Line Interface page UserInputError, [1] Using AI Accelerators page Using Cloud Storage as a Model Repository page Using Dynamic Batching page Using Encrypted Models with OpenVINO™ page Using nGraph's Python API page Using the Reshape Inference Feature page uv function, [1]

V

v function, [1] v_float variable v_int variable v_ptr variable VA_SHARED variable VA_SURFACE variable validate_and_infer_convolution_forward_output_shape function validate_and_infer_types function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75], [76], [77], [78], [79], [80], [81], [82], [83], [84], [85], [86], [87], [88], [89], [90], [91], [92], [93], [94], [95], [96], [97], [98], [99], [100], [101], [102], [103], [104], [105], [106], [107], [108], [109], [110], [111], [112], [113], [114], [115], [116], [117], [118], [119], [120], [121], [122], [123], [124], [125], [126], [127] validate_host_tensor_vector function validate_input_rank_dimension function validate_seq_input_rank_dimension function value variable value_map typedef value_type typedef variable _name _streams _threadBindingOffset _threadBindingStep _threadBindingType _threadPreferredCoreType _threads _threadsPerStream api_version apiVersion bitsSize buildNumber constant CPU_THROUGHPUT_NUMA cpu_uSec desc description DX_BUFFER dynBatchSupport error_msg exec_type execution_index EXECUTION_ORDER FileSeparator HDDL_BIND_DEVICE HDDL_DEVICE_TAG HDDL_GRAPH_TAG HDDL_GROUP_DEVICE HDDL_RUNTIME_PRIORITY HDDL_STREAM_ID HDDL_USE_SGAD id, [1] IMPL_TYPE inConfs inPlace KEY_AUTO_DEVICE_LIST KEY_CACHE_DIR KEY_CONFIG_FILE KEY_CPU_BIND_THREAD KEY_CPU_THREADS_NUM KEY_DEVICE_ID KEY_DUMP_EXEC_GRAPH_AS_DOT KEY_DYN_BATCH_ENABLED KEY_DYN_BATCH_LIMIT KEY_ENFORCE_BF16 KEY_EXCLUSIVE_ASYNC_REQUESTS KEY_LOG_LEVEL KEY_PERF_COUNT LAYER_TYPE layer_type liveness_new_list major meanData meanValue METRIC_AVAILABLE_DEVICES METRIC_DEVICE_ARCHITECTURE METRIC_DEVICE_GOPS METRIC_DEVICE_THERMAL METRIC_DEVICE_TYPE METRIC_FULL_DEVICE_NAME METRIC_IMPORT_EXPORT_SUPPORT METRIC_NETWORK_NAME METRIC_NUMBER_OF_EXEC_INFER_REQUESTS METRIC_NUMBER_OF_WAITING_INFER_REQUESTS METRIC_OPTIMAL_NUMBER_OF_INFER_REQUESTS METRIC_OPTIMIZATION_CAPABILITIES METRIC_RANGE_FOR_ASYNC_INFER_REQUESTS METRIC_RANGE_FOR_STREAMS METRIC_SUPPORTED_CONFIG_KEYS METRIC_SUPPORTED_METRICS minor msg, [1] MYRIAD_CUSTOM_LAYERS MYRIAD_DDR_AUTO MYRIAD_DDR_TYPE MYRIAD_ENABLE_FORCE_RESET MYRIAD_ENABLE_HW_ACCELERATION MYRIAD_ENABLE_RECEIVING_TENSOR_TIME MYRIAD_PCIE MYRIAD_PROTOCOL MYRIAD_THROUGHPUT_STREAMS name, [1] next OCL OCL_BUFFER OCL_IMAGE2D ORIGINAL_NAMES outConfs OUTPUT_LAYOUTS OUTPUT_PRECISIONS PARAM_CONTEXT_TYPE PARAM_DEV_OBJECT_HANDLE PARAM_MEM_HANDLE PARAM_OCL_CONTEXT PARAM_SHARED_MEM_TYPE PARAM_VA_DEVICE PARAM_VA_PLANE PERF_COUNTER posX, [1] posY, [1] rc realTime_uSec resp RUNTIME_PRECISION s_max sizeX, [1] sizeY, [1] status stdScale supportedLayersMap v_float v_int v_ptr VA_SHARED VA_SURFACE value xml YES

Variable state base classes group VariableContext function, [1] VariableState function, [1] VariableState (class in openvino.inference_engine) VariableValue function, [1], [2] variadic_split() (in module ngraph) (in module ngraph.opset1) (in module ngraph.opset1.ops) (in module ngraph.opset2) (in module ngraph.opset3) (in module ngraph.opset4) (in module ngraph.opset5) (in module ngraph.opset6) (in module ngraph.opset7) VariadicSplit function, [1] page Variant (class in _pyngraph) VariantInt (class in _pyngraph) VariantString (class in _pyngraph) VASurfaceBlob function Vehicle Analysis Pipeline page Vehicle and Pedestrian Tracking Sample (gst-launch command line) page vehicle-attributes-recognition-barrier-0039 page vehicle-attributes-recognition-barrier-0042 page vehicle-detection-0200 page vehicle-detection-0201 page vehicle-detection-0202 page vehicle-detection-adas-0002 page vehicle-license-plate-detection-barrier-0106 page vehicle-license-plate-detection-barrier-0123 page vehicle-reid-0001 page Version enum vgg16 page vgg19 page vgg19-caffe2 page View Inference Results page visit_attributes function Visualize Model page Visualize Model Output page VPU Plugins page VPU_HDDL_CONFIG_KEY define VPU_HDDL_CONFIG_VALUE define VPU_HDDL_METRIC define VPU_MYRIAD_CONFIG_KEY define VPU_MYRIAD_CONFIG_VALUE define

W

Wait function, [1], [2], [3] wait() (openvino.inference_engine.ExecutableNetwork method) (openvino.inference_engine.InferRequest method) wait_for_read_ready function wait_for_write_ready function WaitMode enum, [1] WaitMode (class in openvino.inference_engine) wavernn (composite) page WeakPtr typedef weld-porosity-detection-0001 page Whiteboard Inpainting Python* Demo page Winograd Algorithmic Tuning page with_cpu_x86_avx function

with_cpu_x86_avx2 function with_cpu_x86_avx512_core function with_cpu_x86_avx512f function with_cpu_x86_bfloat16 function with_cpu_x86_sse42 function wmap function, [1] Work with Docker* Container page Work with Remote Targets page wraps() (in module ngraph.utils.decorators) write function, [1] write_description function wstring_to_string function

X

xml variable XML helper utilities group

XMLParseUtils namespace Xor function

Y

y function, [1], [2], [3] YES variable yolact-resnet50-fpn-pytorch page yolo-v1-tiny-tf page yolo-v2-ava-0001 page yolo-v2-ava-sparse-35-0001 page yolo-v2-ava-sparse-70-0001 page yolo-v2-tf page yolo-v2-tiny-ava-0001 page

yolo-v2-tiny-ava-sparse-30-0001 page yolo-v2-tiny-ava-sparse-60-0001 page yolo-v2-tiny-tf page yolo-v2-tiny-vehicle-detection-0001 page yolo-v3-tf page yolo-v3-tiny-tf page yolo-v4-tf page yolo-v4-tiny-tf page