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* Remove IR version and nGraph name from the Opset12 doc * Propagate the changes to each opsetX.md file
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opset2
@sphinxdirective
.. meta:: :description: Explore the examples of operation instances expressed as IR XML snippets in the opset2 operation set, supported in OpenVINO™ toolkit.
This specification document describes opset2 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 xml
snippets. Such IR is generated by the Model Optimizer. The semantics match corresponding OpenVINO operation classes
declared in namespace opset2.
Table of Contents ######################
- :doc:
Abs <openvino_docs_ops_arithmetic_Abs_1> - :doc:
Acos <openvino_docs_ops_arithmetic_Acos_1> - :doc:
Add <openvino_docs_ops_arithmetic_Add_1> - :doc:
Asin <openvino_docs_ops_arithmetic_Asin_1> - :doc:
Atan <openvino_docs_ops_arithmetic_Atan_1> - :doc:
AvgPool <openvino_docs_ops_pooling_AvgPool_1> - :doc:
BatchNormInference <openvino_docs_ops_normalization_BatchNormInference_1> - :doc:
BatchToSpace <openvino_docs_ops_movement_BatchToSpace_2> - :doc:
BinaryConvolution <openvino_docs_ops_convolution_BinaryConvolution_1> - :doc:
Broadcast <openvino_docs_ops_movement_Broadcast_1> - :doc:
CTCGreedyDecoder <openvino_docs_ops_sequence_CTCGreedyDecoder_1> - :doc:
Ceiling <openvino_docs_ops_arithmetic_Ceiling_1> - :doc:
Clamp <openvino_docs_ops_activation_Clamp_1> - :doc:
Concat <openvino_docs_ops_movement_Concat_1> - :doc:
Constant <openvino_docs_ops_infrastructure_Constant_1> - :doc:
Convert <openvino_docs_ops_type_Convert_1> - :doc:
ConvertLike <openvino_docs_ops_type_ConvertLike_1> - :doc:
Convolution <openvino_docs_ops_convolution_Convolution_1> - :doc:
ConvolutionBackpropData <openvino_docs_ops_convolution_ConvolutionBackpropData_1> - :doc:
Cos <openvino_docs_ops_arithmetic_Cos_1> - :doc:
Cosh <openvino_docs_ops_arithmetic_Cosh_1> - :doc:
DeformableConvolution <openvino_docs_ops_convolution_DeformableConvolution_1> - :doc:
DeformablePSROIPooling <openvino_docs_ops_detection_DeformablePSROIPooling_1> - :doc:
DepthToSpace <openvino_docs_ops_movement_DepthToSpace_1> - :doc:
DetectionOutput <openvino_docs_ops_detection_DetectionOutput_1> - :doc:
Divide <openvino_docs_ops_arithmetic_Divide_1> - :doc:
Elu <openvino_docs_ops_activation_Elu_1> - :doc:
Equal <openvino_docs_ops_comparison_Equal_1> - :doc:
Erf <openvino_docs_ops_arithmetic_Erf_1> - :doc:
Exp <openvino_docs_ops_activation_Exp_1> - :doc:
FakeQuantize <openvino_docs_ops_quantization_FakeQuantize_1> - :doc:
Floor <openvino_docs_ops_arithmetic_Floor_1> - :doc:
FloorMod <openvino_docs_ops_arithmetic_FloorMod_1> - :doc:
Gather <openvino_docs_ops_movement_Gather_1> - :doc:
GatherTree <openvino_docs_ops_movement_GatherTree_1> - :doc:
Gelu <openvino_docs_ops_activation_GELU_2> - :doc:
Greater <openvino_docs_ops_comparison_Greater_1> - :doc:
GreaterEqual <openvino_docs_ops_comparison_GreaterEqual_1> - :doc:
GRN <openvino_docs_ops_normalization_GRN_1> - :doc:
GroupConvolution <openvino_docs_ops_convolution_GroupConvolution_1> - :doc:
GroupConvolutionBackpropData <openvino_docs_ops_convolution_GroupConvolutionBackpropData_1> - :doc:
HardSigmoid <openvino_docs_ops_activation_HardSigmoid_1> - :doc:
Interpolate <openvino_docs_ops_image_Interpolate_1> - :doc:
Less <openvino_docs_ops_comparison_Less_1> - :doc:
LessEqual <openvino_docs_ops_comparison_LessEqual_1> - :doc:
Log <openvino_docs_ops_arithmetic_Log_1> - :doc:
LogicalAnd <openvino_docs_ops_logical_LogicalAnd_1> - :doc:
LogicalNot <openvino_docs_ops_logical_LogicalNot_1> - :doc:
LogicalOr <openvino_docs_ops_logical_LogicalOr_1> - :doc:
LogicalXor <openvino_docs_ops_logical_LogicalXor_1> - :doc:
LRN <openvino_docs_ops_normalization_LRN_1> - :doc:
LSTMCell <openvino_docs_ops_sequence_LSTMCell_1> - :doc:
LSTMSequence <openvino_docs_ops_sequence_LSTMSequence_1> - :doc:
MatMul <openvino_docs_ops_matrix_MatMul_1> - :doc:
MaxPool <openvino_docs_ops_pooling_MaxPool_1> - :doc:
Maximum <openvino_docs_ops_arithmetic_Maximum_1> - :doc:
Minimum <openvino_docs_ops_arithmetic_Minimum_1> - :doc:
Mod <openvino_docs_ops_arithmetic_Mod_1> - :doc:
MVN <openvino_docs_ops_normalization_MVN_1> - :doc:
Multiply <openvino_docs_ops_arithmetic_Multiply_1> - :doc:
Negative <openvino_docs_ops_arithmetic_Negative_1> - :doc:
NonMaxSuppression <openvino_docs_ops_sort_NonMaxSuppression_1> - :doc:
NormalizeL2 <openvino_docs_ops_normalization_NormalizeL2_1> - :doc:
NotEqual <openvino_docs_ops_comparison_NotEqual_1> - :doc:
OneHot <openvino_docs_ops_sequence_OneHot_1> - :doc:
Pad <openvino_docs_ops_movement_Pad_1> - :doc:
Parameter <openvino_docs_ops_infrastructure_Parameter_1> - :doc:
Power <openvino_docs_ops_arithmetic_Power_1> - :doc:
PReLU <openvino_docs_ops_activation_PReLU_1> - :doc:
PriorBoxClustered <openvino_docs_ops_detection_PriorBoxClustered_1> - :doc:
PriorBox <openvino_docs_ops_detection_PriorBox_1> - :doc:
Proposal <openvino_docs_ops_detection_Proposal_1> - :doc:
PSROIPooling <openvino_docs_ops_detection_PSROIPooling_1> - :doc:
Range <openvino_docs_ops_generation_Range_1> - :doc:
ReLU <openvino_docs_ops_activation_ReLU_1> - :doc:
ReduceLogicalAnd <openvino_docs_ops_reduction_ReduceLogicalAnd_1> - :doc:
ReduceLogicalOr <openvino_docs_ops_reduction_ReduceLogicalOr_1> - :doc:
ReduceMax <openvino_docs_ops_reduction_ReduceMax_1> - :doc:
ReduceMean <openvino_docs_ops_reduction_ReduceMean_1> - :doc:
ReduceMin <openvino_docs_ops_reduction_ReduceMin_1> - :doc:
ReduceProd <openvino_docs_ops_reduction_ReduceProd_1> - :doc:
ReduceSum <openvino_docs_ops_reduction_ReduceSum_1> - :doc:
RegionYolo <openvino_docs_ops_detection_RegionYolo_1> - :doc:
ReorgYolo <openvino_docs_ops_detection_ReorgYolo_1> - :doc:
Reshape <openvino_docs_ops_shape_Reshape_1> - :doc:
Result <openvino_docs_ops_infrastructure_Result_1> - :doc:
ReverseSequence <openvino_docs_ops_movement_ReverseSequence_1> - :doc:
ROIPooling <openvino_docs_ops_detection_ROIPooling_1> - :doc:
Select <openvino_docs_ops_condition_Select_1> - :doc:
Selu <openvino_docs_ops_activation_Selu_1> - :doc:
ShapeOf <openvino_docs_ops_shape_ShapeOf_1> - :doc:
Sigmoid <openvino_docs_ops_activation_Sigmoid_1> - :doc:
Sign <openvino_docs_ops_arithmetic_Sign_1> - :doc:
Sin <openvino_docs_ops_arithmetic_Sin_1> - :doc:
Sinh <openvino_docs_ops_arithmetic_Sinh_1> - :doc:
SoftMax <openvino_docs_ops_activation_SoftMax_1> - :doc:
SpaceToBatch <openvino_docs_ops_movement_SpaceToBatch_2> - :doc:
SpaceToDepth <openvino_docs_ops_movement_SpaceToDepth_1> - :doc:
Split <openvino_docs_ops_movement_Split_1> - :doc:
Sqrt <openvino_docs_ops_arithmetic_Sqrt_1> - :doc:
SquaredDifference <openvino_docs_ops_arithmetic_SquaredDifference_1> - :doc:
Squeeze <openvino_docs_ops_shape_Squeeze_1> - :doc:
StridedSlice <openvino_docs_ops_movement_StridedSlice_1> - :doc:
Subtract <openvino_docs_ops_arithmetic_Subtract_1> - :doc:
Tan <openvino_docs_ops_arithmetic_Tan_1> - :doc:
Tanh <openvino_docs_ops_arithmetic_Tanh_1> - :doc:
TensorIterator <openvino_docs_ops_infrastructure_TensorIterator_1> - :doc:
Tile <openvino_docs_ops_movement_Tile_1> - :doc:
TopK <openvino_docs_ops_sort_TopK_1> - :doc:
Transpose <openvino_docs_ops_movement_Transpose_1> - :doc:
Unsqueeze <openvino_docs_ops_shape_Unsqueeze_1> - :doc:
VariadicSplit <openvino_docs_ops_movement_VariadicSplit_1>
@endsphinxdirective