* Added specification for EyeLike-9 * Update docs/ops/generation/EyeLike_9.md * removed batch from TF * minor fix * Applied comment by Anton * Added new example with dynamic output, added corner case * Fixed corner case description * Rename matrix * applied comments by Yuan * Added diag_idx as input, minor fixes, renaming * added support of batch_shape from TF Co-authored-by: Andrei Kochin <andrei.kochin@intel.com>
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opset9
This specification document describes the opset9 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 opset9.
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
- Eye
- FakeQuantize
- Floor
- FloorMod
- Gather
- GatherElements
- GatherND
- GatherTree
- Gelu
- Greater
- GreaterEqual
- GRN
- GroupConvolution
- GroupConvolutionBackpropData
- GRUCell
- GRUSequence
- HardSigmoid
- HSigmoid
- HSwish
- IDFT
- I420toBGR
- I420toRGB
- If
- Interpolate
- IRDFT
- Less
- LessEqual
- Log
- LogicalAnd
- LogicalNot
- LogicalOr
- LogicalXor
- LogSoftmax
- Loop
- LRN
- LSTMCell
- LSTMSequence
- MatMul
- MatrixNMS
- MaxPool
- Maximum
- Minimum
- Mish
- Mod
- MVN
- MulticlassNMS
- Multiply
- Negative
- NonMaxSuppression
- NonZero
- NormalizeL2
- NotEqual
- NV12toBGR
- NV12toRGB
- OneHot
- Pad
- Parameter
- Power
- PReLU
- PriorBoxClustered
- PriorBox
- Proposal
- PSROIPooling
- RandomUniform
- Range
- RDFT
- 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
- Slice
- SoftMax
- SoftPlus
- SoftSign
- SpaceToBatch
- SpaceToDepth
- Split
- Sqrt
- SquaredDifference
- Squeeze
- StridedSlice
- Subtract
- Swish
- Tan
- Tanh
- TensorIterator
- Tile
- TopK
- Transpose
- Unsqueeze
- VariadicSplit