opset2

This specification document describes opset2 operation set supported in OpenVINO™. Support for each particular operation from the list below depends on the capabilities of an inference plugin and may vary among different hardware platforms and devices. Examples of operation instances are provided as IR xml snippets. The semantics match corresponding OpenVINO operation classes declared in namespace opset2.

Table of Contents

• Abs

• Acos

• Add

• Asin

• Atan

• AvgPool

• BatchNormInference

• BatchToSpace

• BinaryConvolution

• Broadcast

• CTCGreedyDecoder

• Ceiling

• Clamp

• Concat

• Constant

• Convert

• ConvertLike

• Convolution

• ConvolutionBackpropData

• Cos

• Cosh

• DeformableConvolution

• DeformablePSROIPooling

• DepthToSpace

• DetectionOutput

• Divide

• Elu

• Equal

• Erf

• Exp

• FakeQuantize

• Floor

• FloorMod

• Gather

• GatherTree

• Gelu

• Greater

• GreaterEqual

• GRN

• GroupConvolution

• GroupConvolutionBackpropData

• HardSigmoid

• Interpolate

• Less

• LessEqual

• Log

• LogicalAnd

• LogicalNot

• LogicalOr

• LogicalXor

• LRN

• LSTMCell

• LSTMSequence

• MatMul

• MaxPool

• Maximum

• Minimum

• Mod

• MVN

• Multiply

• Negative

• NonMaxSuppression

• NormalizeL2

• NotEqual

• OneHot

• Pad

• Parameter

• Power

• PReLU

• PriorBoxClustered

• PriorBox

• Proposal

• PSROIPooling

• Range

• ReLU

• ReduceLogicalAnd

• ReduceLogicalOr

• ReduceMax

• ReduceMean

• ReduceMin

• ReduceProd

• ReduceSum

• RegionYolo

• ReorgYolo

• Reshape

• Result

• ReverseSequence

• ROIPooling

• Select

• Selu

• ShapeOf

• Sigmoid

• Sign

• Sin

• Sinh

• SoftMax

• SpaceToBatch

• SpaceToDepth

• Split

• Sqrt

• SquaredDifference

• Squeeze

• StridedSlice

• Subtract

• Tan

• Tanh

• TensorIterator

• Tile

• TopK

• Transpose

• Unsqueeze

• VariadicSplit