Anton Chetverikov
6b62f67d44
* Add specification for ExperimentalDetectronROIFeatureExtractor-6 operation * Add specification for ExperimentalDetectronROIFeatureExtractor-6 operation * Delete template added by mistake * Add specification for ExperimentalDetectronTopKROIs_6 operation * Update specification * Update specification * Add specification for ExperimentalDetectronDetectionOutput_6 operation * Add specifaication for ExperimentalDetectronGenerateProposalsSingleImage_6 operation * Add specification for ExperimentalDetectronPriorGridGenerator_6 operation * Allign attr? add more detailed information * Provide detailed description for ExperimentalDetectronTopKROIs_6 operation * Minor style updates * Update specifications * Add more details to operation specification * Update operations categories * Move operations specifications to detection folder * Update specifications * Add operations to appopriate lists * Update specs * Update operations list * Add more detailed decsriptions to operations specification * Add more details to operations descriptions * Apply review comments * Apply review comments * Update specifications * Delete outdated comments in experimental operations headers * Update specifications * Apply review feedback * Move back comments in operations headers * Apply review comments * Fix typo * Fix codestyle * Fix typo
6.8 KiB
6.8 KiB
Operation Set opset6 Specification
This specification document describes opset6 operation set supported in OpenVINO.
Support for each particular operation from the list below depends on the capabilities available in a inference plugin
and may vary among different hardware platforms and devices. Examples of operation instances are expressed as IR V10 xml
snippets. Such IR is generated by the Model Optimizer. The semantics match corresponding nGraph operation classes
declared in namespace opset6.
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
- Divide
- 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
- 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
- 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