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OpenVINO 2022.1 introduces a new version of OpenVINO API (API 2.0). For more information on the changes and transition steps, see the transition guide

OpenVINO Runtime C++ API
- Basics
  - Element types
    - Type_t
    - Type
  - Layout
    - Layout
  - DiscreteTypeInfo
  - Dimension
  - Extension
  - Input
  - Model
  - Node
  - Output
  - PartialShape
  - PrePostProcessor
  - Shape
- Inference
- Operation sets
  - OpSet
- Operations
  - Abs
  - Acos
  - Acosh
  - AdaptiveAvgPool
  - AdaptiveMaxPool
  - Add
  - Asin
  - Assign
  - Assign
  - Atan
  - Atanh
  - BatchNormInference
  - BatchNormInference
  - BatchToSpace
  - BinaryConvolution
    - BinaryConvolutionMode
  - Broadcast
  - Broadcast
  - Bucketize
  - CTCGreedyDecoder
  - CTCGreedyDecoderSeqLen
  - CTCLoss
  - Ceiling
  - Clamp
  - Concat
  - Constant
  - Convert
  - ConvertLike
  - Convolution
  - ConvolutionBackpropData
  - Cos
  - Cosh
  - CumSum
  - DFT
  - DeformableConvolution
  - DeformableConvolution
  - DeformablePSROIPooling
  - DepthToSpace
    - DepthToSpaceMode
  - Divide
  - Einsum
  - Elu
  - EmbeddingBagOffsetsSum
  - EmbeddingBagPackedSum
  - EmbeddingSegmentsSum
  - Equal
  - Erf
  - Exp
  - ExperimentalDetectronDetectionOutput
    - Attributes
  - ExperimentalDetectronGenerateProposalsSingleImage
    - Attributes
  - ExperimentalDetectronPriorGridGenerator
    - Attributes
  - ExperimentalDetectronROIFeatureExtractor
    - Attributes
  - ExperimentalDetectronTopKROIs
  - ExtractImagePatches
  - FakeQuantize
  - Floor
  - FloorMod
  - GRUCell
  - GRUSequence
  - Gather
  - Gather
  - Gather
  - GatherElements
  - GatherND
  - GatherND
  - GatherTree
  - Gelu
  - Gelu
  - Greater
  - GreaterEqual
  - HSigmoid
  - HSwish
  - HardSigmoid
  - I420toBGR
  - I420toRGB
  - IDFT
  - If
    - BodyIndexes
  - Interpolate
    - InterpolateMode
    - Attributes
  - Interpolate
  - LRN
  - LSTMCell
  - LSTMCell
  - LSTMSequence
  - LSTMSequence
  - Less
  - LessEqual
  - Log
  - LogSoftmax
  - LogicalAnd
  - LogicalNot
  - LogicalOr
  - LogicalXor
  - Loop
    - SpecialBodyPorts
  - MVN
  - MVN
  - MatMul
  - MatrixNms
    - DecayFunction
    - Attributes
  - MaxPool
  - MaxPool
  - Maximum
  - Minimum
  - Mish
  - Mod
  - MulticlassNms
    - Attributes
  - Multiply
  - NV12toBGR
  - NV12toRGB
  - Negative
  - NonMaxSuppression
    - BoxEncodingType
  - NonMaxSuppression
  - NonMaxSuppression
    - BoxEncodingType
  - NonMaxSuppression
    - BoxEncodingType
  - NonZero
  - NormalizeL2
  - NotEqual
  - OneHot
  - Op
  - PRelu
  - PSROIPooling
  - Pad
  - Parameter
  - Power
  - PriorBox
    - Attributes
  - PriorBox
    - Attributes
  - PriorBoxClustered
    - Attributes
  - Proposal
    - Attributes
  - Proposal
  - RNNCell
  - RNNSequence
  - ROIAlign
    - PoolingMode
  - ROIPooling
  - RandomUniform
  - Range
  - Range
  - ReadValue
  - ReadValue
  - ReduceL1
  - ReduceL2
  - ReduceLogicalAnd
  - ReduceLogicalOr
  - ReduceMax
  - ReduceMean
  - ReduceMin
  - ReduceProd
  - ReduceSum
  - RegionYolo
  - Relu
  - ReorgYolo
  - Reshape
  - Result
  - Reverse
    - Mode
  - ReverseSequence
  - Roll
  - Round
    - RoundMode
  - ScatterElementsUpdate
  - ScatterNDUpdate
  - ScatterUpdate
  - Select
  - Selu
  - ShapeOf
  - ShapeOf
  - ShuffleChannels
  - Sigmoid
  - Sign
  - Sin
  - Sinh
  - Sink
  - Slice
  - SoftPlus
  - Softmax
  - Softmax
  - SpaceToBatch
  - SpaceToDepth
    - SpaceToDepthMode
  - Split
  - Sqrt
  - SquaredDifference
  - Squeeze
  - StridedSlice
  - Subtract
  - Swish
  - Tan
  - Tanh
  - TensorIterator
  - Tile
  - TopK
  - TopK
  - Transpose
  - Unsqueeze
  - VariadicSplit
  - Xor
- Transformation passes
- ov
OpenVINO Python API

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.pdf .zip

openvino.runtime.get_batch¶

openvino.runtime.get_batch(arg0: ov::Model) → ov::Dimension¶

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