# Operation Set `opset4` Specification {#openvino_docs_ops_opset4}

This specification document describes `opset4` 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 opset4`.


## Table of Contents <a name="toc"></a>

* [Abs](arithmetic/Abs_1.md)
* [Acos](arithmetic/Acos_1.md)
* [Acosh](arithmetic/Acosh_3.md)
* [Add](arithmetic/Add_1.md)
* [Asin](arithmetic/Asin_1.md)
* [Asinh](arithmetic/Asinh_3.md)
* [Assign](infrastructure/Assign_3.md)
* [Atan](arithmetic/Atan_1.md)
* [Atanh](arithmetic/Atanh_3.md)
* [AvgPool](pooling/AvgPool_1.md)
* [BatchNormInference](normalization/BatchNormInference_1.md)
* [BatchToSpace](movement/BatchToSpace_2.md)
* [BinaryConvolution](convolution/BinaryConvolution_1.md)
* [Broadcast](movement/Broadcast_3.md)
* [Bucketize](condition/Bucketize_3.md)
* [CTCGreedyDecoder](sequence/CTCGreedyDecoder_1.md)
* [CTCLoss](sequence/CTCLoss_4.md)
* [Ceiling](arithmetic/Ceiling_1.md)
* [Clamp](activation/Clamp_1.md)
* [Concat](movement/Concat_1.md)
* [Constant](infrastructure/Constant_1.md)
* [Convert](type/Convert_1.md)
* [ConvertLike](type/ConvertLike_1.md)
* [Convolution](convolution/Convolution_1.md)
* [ConvolutionBackpropData](convolution/ConvolutionBackpropData_1.md)
* [Cos](arithmetic/Cos_1.md)
* [Cosh](arithmetic/Cosh_1.md)
* [CumSum](arithmetic/CumSum_3.md)
* [DeformableConvolution](convolution/DeformableConvolution_1.md)
* [DeformablePSROIPooling](detection/DeformablePSROIPooling_1.md)
* [DepthToSpace](movement/DepthToSpace_1.md)
* [DetectionOutput](detection/DetectionOutput_1.md)
* [Divide](arithmetic/Divide_1.md)
* [Elu](activation/Elu_1.md)
* [EmbeddingBagOffsetsSum](sparse/EmbeddingBagOffsetsSum_3.md)
* [EmbeddingBagPackedSum](sparse/EmbeddingBagPackedSum_3.md)
* [EmbeddingSegmentsSum](sparse/EmbeddingSegmentsSum_3.md)
* [Equal](comparison/Equal_1.md)
* [Erf](arithmetic/Erf_1.md)
* [Exp](activation/Exp_1.md)
* [ExtractImagePatches](movement/ExtractImagePatches_3.md)
* [FakeQuantize](quantization/FakeQuantize_1.md)
* [Floor](arithmetic/Floor_1.md)
* [FloorMod](arithmetic/FloorMod_1.md)
* [Gather](movement/Gather_1.md)
* [GatherTree](movement/GatherTree_1.md)
* [Gelu](activation/GELU_2.md)
* [Greater](comparison/Greater_1.md)
* [GreaterEqual](comparison/GreaterEqual_1.md)
* [GRN](normalization/GRN_1.md)
* [GroupConvolution](convolution/GroupConvolution_1.md)
* [GroupConvolutionBackpropData](convolution/GroupConvolutionBackpropData_1.md)
* [GRUCell](sequence/GRUCell_3.md)
* [HardSigmoid](activation/HardSigmoid_1.md)
* [HSwish](activation/HSwish_4.md)
* [Interpolate](image/Interpolate_4.md)
* [Less](comparison/Less_1.md)
* [LessEqual](comparison/LessEqual_1.md)
* [Log](arithmetic/Log_1.md)
* [LogicalAnd](logical/LogicalAnd_1.md)
* [LogicalNot](logical/LogicalNot_1.md)
* [LogicalOr](logical/LogicalOr_1.md)
* [LogicalXor](logical/LogicalXor_1.md)
* [LRN](normalization/LRN_1.md)
* [LSTMCell](sequence/LSTMCell_1.md)
* [MatMul](matrix/MatMul_1.md)
* [MaxPool](pooling/MaxPool_1.md)
* [Maximum](arithmetic/Maximum_1.md)
* [Minimum](arithmetic/Minimum_1.md)
* [Mish](activation/Mish_4.md)
* [Mod](arithmetic/Mod_1.md)
* [MVN](normalization/MVN_1.md)
* [Multiply](arithmetic/Multiply_1.md)
* [Negative](arithmetic/Negative_1.md)
* [NonMaxSuppression](sort/NonMaxSuppression_4.md)
* [NonZero](condition/NonZero_3.md)
* [NormalizeL2](normalization/NormalizeL2_1.md)
* [NotEqual](comparison/NotEqual_1.md)
* [OneHot](sequence/OneHot_1.md)
* [Pad](movement/Pad_1.md)
* [Parameter](infrastructure/Parameter_1.md)
* [Power](arithmetic/Power_1.md)
* [PReLU](activation/PReLU_1.md)
* [PriorBoxClustered](detection/PriorBoxClustered_1.md)
* [PriorBox](detection/PriorBox_1.md)
* [Proposal](detection/Proposal_4.md)
* [PSROIPooling](detection/PSROIPooling_1.md)
* [Range](generation/Range_4.md)
* [ReLU](activation/ReLU_1.md)
* [ReadValue](infrastructure/ReadValue_3.md)
* [ReduceL1](reduction/ReduceL1_4.md)
* [ReduceL2](reduction/ReduceL2_4.md)
* [ReduceLogicalAnd](reduction/ReduceLogicalAnd_1.md)
* [ReduceLogicalOr](reduction/ReduceLogicalOr_1.md)
* [ReduceMax](reduction/ReduceMax_1.md)
* [ReduceMean](reduction/ReduceMean_1.md)
* [ReduceMin](reduction/ReduceMin_1.md)
* [ReduceProd](reduction/ReduceProd_1.md)
* [ReduceSum](reduction/ReduceSum_1.md)
* [RegionYolo](detection/RegionYolo_1.md)
* [ReorgYolo](detection/ReorgYolo_1.md)
* [Reshape](shape/Reshape_1.md)
* [Result](infrastructure/Result_1.md)
* [Reverse](movement/Reverse_1.md)
* [ReverseSequence](movement/ReverseSequence_1.md)
* [RNNCell](sequence/RNNCell_3.md)
* [ROIAlign](detection/ROIAlign_3.md)
* [ROIPooling](detection/ROIPooling_1.md)
* [ScatterElementsUpdate](movement/ScatterElementsUpdate_3.md)
* [ScatterNDUpdate](movement/ScatterNDUpdate_3.md)
* [ScatterUpdate](movement/ScatterUpdate_3.md)
* [Select](condition/Select_1.md)
* [Selu](arithmetic/Selu_1.md)
* [ShapeOf](shape/ShapeOf_3.md)
* [ShuffleChannels](movement/ShuffleChannels_1.md)
* [Sigmoid](activation/Sigmoid_1.md)
* [Sign](arithmetic/Sign_1.md)
* [Sin](arithmetic/Sin_1.md)
* [Sinh](arithmetic/Sinh_1.md)
* [SoftMax](activation/SoftMax_1.md)
* [SoftPlus](activation/SoftPlus_4.md)
* [SpaceToBatch](movement/SpaceToBatch_2.md)
* [SpaceToDepth](movement/SpaceToDepth_1.md)
* [Split](movement/Split_1.md)
* [Sqrt](arithmetic/Sqrt_1.md)
* [SquaredDifference](arithmetic/SquaredDifference_1.md)
* [Squeeze](shape/Squeeze_1.md)
* [StridedSlice](movement/StridedSlice_1.md)
* [Subtract](arithmetic/Subtract_1.md)
* [Swish](activation/Swish_4.md)
* [Tan](arithmetic/Tan_1.md)
* [Tanh](arithmetic/Tanh_1.md)
* [TensorIterator](infrastructure/TensorIterator_1.md)
* [Tile](movement/Tile_1.md)
* [TopK](sort/TopK_3.md)
* [Transpose](movement/Transpose_1.md)
* [Unsqueeze](shape/Unsqueeze_1.md)
* [VariadicSplit](movement/VariadicSplit_1.md)
