* Specify Einsum-7 operation Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Finalize specification for Einsum-7 operation Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Remove duplicate example Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Update doc headers with Einsum operation Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Apply comments after the first review: grammar corrections and sentence rephrase Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Apply feedback from tech-writers and online review Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Make additional grammar corrections Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Correct documentation: optimize some sentences, links and examples Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Support capital letters in equation and implicit mode Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
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6.9 KiB
Operation Set opset7 Specification
This specification document describes the opset7 operation set supported in OpenVINO™.
Support for each particular operation from the list below depends on the capabilities available in 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 opset7.
Table of Contents
- Abs
- Acos
- Acosh
- 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_5
- GatherTree
- Gelu
- Greater
- GreaterEqual
- GRN
- GroupConvolution
- GroupConvolutionBackpropData
- GRUCell
- GRUSequence
- HardSigmoid
- HSigmoid
- HSwish
- IDFT
- 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
- OneHot
- Pad
- Parameter
- Power
- PReLU
- PriorBoxClustered
- PriorBox
- Proposal
- PSROIPooling
- 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