* Add specifiation for GatherND_8 operation * Update formula * Add links to op spec * Fix existed and add new example * Correct output shape formula * Add restriction for batch_dims values * Add reference for gatherND-8 operation * Update batch_dims=3 example * Fix output shape in example * fix lines length * Fix typo * Fix wrong shape * Update note about calculation of out shape * Apply suggestions from code review Co-authored-by: Tatiana Savina <tatiana.savina@intel.com> Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
7.2 KiB
7.2 KiB
Operation Set opset8 Specification
This specification document describes the opset8 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 V10 xml
snippets. Such IR is generated by the Model Optimizer. The semantics match corresponding nGraph operation classes
declared in namespace opset8.
Table of Contents
- Abs
- Acos
- Acosh
- AdaptiveAvgPool
- AdaptiveMaxPool
- Add
- Asin
- Asinh
- Assign
- Atan
- Atanh
- AvgPool
- BatchNormInference
- BatchToSpace
- BinaryConvolution
- Broadcast
- Bucketize
- CTCGreedyDecoder
- CTCGreedyDecoderSeqLen
- CTCLoss
- Ceiling
- Clamp
- Concat
- Constant
- Convert
- ConvertLike
- Convolution
- ConvolutionBackpropData
- Cos
- Cosh
- CumSum
- DeformableConvolution
- DeformablePSROIPooling
- DepthToSpace
- DetectionOutput
- DFT
- Divide
- Einsum
- Elu
- EmbeddingBagOffsetsSum
- EmbeddingBagPackedSum
- EmbeddingSegmentsSum
- Equal
- Erf
- Exp
- ExperimentalDetectronDetectionOutput_6
- ExperimentalDetectronGenerateProposalsSingleImage_6
- ExperimentalDetectronPriorGridGenerator_6
- ExperimentalDetectronROIFeatureExtractor_6
- ExperimentalDetectronTopKROIs_6
- ExtractImagePatches
- FakeQuantize
- Floor
- FloorMod
- Gather
- GatherElements
- GatherND_8
- GatherTree
- Gelu
- Greater
- GreaterEqual
- GRN
- GroupConvolution
- GroupConvolutionBackpropData
- GRUCell
- GRUSequence
- HardSigmoid
- HSigmoid
- HSwish
- IDFT
- If
- Interpolate
- Less
- LessEqual
- Log
- LogicalAnd
- LogicalNot
- LogicalOr
- LogicalXor
- LogSoftmax
- Loop
- LRN
- LSTMCell
- LSTMSequence
- MatMul
- MaxPool
- Maximum
- Minimum
- Mish
- Mod
- MVN
- Multiply
- Negative
- NonMaxSuppression
- NonZero
- NormalizeL2
- NotEqual
- NV12toBGR
- NV12toRGB
- OneHot
- Pad
- Parameter
- Power
- PReLU
- PriorBoxClustered
- PriorBox
- Proposal
- PSROIPooling
- RandomUniform
- Range
- ReLU
- ReadValue
- ReduceL1
- ReduceL2
- ReduceLogicalAnd
- ReduceLogicalOr
- ReduceMax
- ReduceMean
- ReduceMin
- ReduceProd
- ReduceSum
- RegionYolo
- ReorgYolo
- Reshape
- Result
- ReverseSequence
- RNNCell
- RNNSequence
- ROIAlign
- ROIPooling
- Roll
- Round
- ScatterElementsUpdate
- ScatterNDUpdate
- ScatterUpdate
- Select
- Selu
- ShapeOf
- ShuffleChannels
- Sigmoid
- Sign
- Sin
- Sinh
- SoftMax
- SoftPlus
- SpaceToBatch
- SpaceToDepth
- Split
- Sqrt
- SquaredDifference
- Squeeze
- StridedSlice
- Subtract
- Swish
- Tan
- Tanh
- TensorIterator
- Tile
- TopK
- Transpose
- Unsqueeze
- VariadicSplit