Supported Operations

.. meta:: :description: Check the operations supported by OpenVINO.

Here, you will find comprehensive information on operations supported by OpenVINO. The conformance reports provide operation coverage for inference devices, while the tables list operations available for all OpenVINO framework frontends.

Data as of OpenVINO 2025.4.1 (December 18, 2025).

Device-operation conformance reports:

.. grid:: 1 1 2 2 :gutter: 4

.. grid-item::

  .. button-link:: ../../_static/conformance_files/conformance_reports/opset_report_omz_static.html
     :color: primary
     :outline:
     :expand:

     ops with static shapes only

.. grid-item::

  .. button-link:: ../../_static/conformance_files/conformance_reports/opset_report_omz_dynamic.html
     :color: primary
     :outline:
     :expand:

     ops including dynamic inputs

Operations supported by OpenVINO frontend Frameworks:

.. tab-set::

.. tab-item:: PyTorch

  .. data-table::
     :class: modeldata stripe
     :name: TensorFlow_ops_v1
     :header-rows: 1
     :file:  ../../_static/conformance_files/pytorch_ops.csv
     :data-column-hidden: []
     :data-order: [[ 0, "asc" ]]
     :data-page-length: 10

.. tab-item:: TensorFlow

  .. data-table::
     :class: modeldata stripe
     :name: TensorFlow_ops_v2
     :header-rows: 1
     :file:  ../../_static/conformance_files/tensorflow_ops.csv
     :data-column-hidden: []
     :data-order: [[ 0, "asc" ]]
     :data-page-length: 10

.. tab-item:: PaddlePaddle

  .. data-table::
     :class: modeldata stripe
     :name: Paddle_ops
     :header-rows: 1
     :file:  ../../_static/conformance_files/paddlepaddle_ops.csv
     :data-column-hidden: []
     :data-order: [[ 0, "asc" ]]
     :data-page-length: 10

.. tab-item:: ONNX

  ==========================================  ==========================================================================================
   ONNX Supported Operations (standard)        Limitations
  ==========================================  ==========================================================================================
   Abs
   Acos
   Acosh
   AdaptiveAvgPool2d
   Add
   Affine
   And
   ArgMax
   ArgMin
   Asin
   Asinh
   Atan
   Atanh
   ATen
   AveragePool
   BatchNormalization
   BitShift
   BitwiseAnd
   BitwiseNot
   BitwiseOr
   BitwiseXor
   BlackmanWindow
   Cast
   CastLike
   Ceil
   Celu
   Clip
   Compress
   Concat
   Constant
   ConstantFill
   ConstantOfShape
   Conv
   ConvInteger
   ConvTranspose
   Cos
   Cosh
   Crop
   CumSum
   DepthToSpace
   DequantizeLinear
   DFT
   Div
   Dropout
   DynamicQuantizeLinear
   Einsum
   Elu
   Equal
   Erf
   Exp
   Expand
   EyeLike
   Flatten
   Floor
   Gather
   GatherElements
   GatherND
   Gelu
   Gemm
   GlobalAveragePool
   GlobalLpPool
   GlobalMaxPool
   Greater
   GreaterOrEqual
   GridSample
   GroupNormalization
   GRU
   HammingWindow
   HardSigmoid
   HardSwish
   Hardmax
   Identity
   If
   ImageScaler
   InstanceNormalization
   IsFinite
   IsInf
   IsNaN
   LayerNormalization
   LeakyRelu
   Less
   LessOrEqual
   Log
   LogSoftmax
   Loop
   LpNormalization
   LRN
   LSTM
   MatMul
   MatMulInteger
   Max
   MaxPool
   MaxRoiPool
   Mean
   MeanVarianceNormalization
   Min
   Mish
   MMCVRoIAlignRotated
   Mod
   Mul
   Multinomial
   Neg
   NMSRotated
   NonMaxSuppression
   NonZero
   Not
   OneHot
   Or
   Pad
   Pow
   PRelu
   QLinearConv
   QLinearMatMul
   QuantizeLinear
   RandomNormal
   RandomNormalLike
   RandomUniform
   RandomUniformLike
   Range
   Reciprocal
   ReduceLogSum
   ReduceLogSumExp
   ReduceL1
   ReduceL2
   ReduceMax
   ReduceMean
   ReduceMin
   ReduceProd
   ReduceSum
   ReduceSumSquare
   Relu
   Reshape
   Resize
   ReverseSequence
   RNN
   RoiAlign
   Round
   Scan
   ScatterElements
   ScatterND
   Selu
   SequenceAt
   Shape
   Shrink
   Sigmoid
   Sign
   Sin
   Sinh
   Size
   Slice
   Softmax
   Softplus
   Softsign
   SpaceToDepth
   Split
   SplitToSequence
   Sqrt
   Squeeze
   STFT
   Sub
   Sum
   Tan
   Tanh
   ThresholdedRelu
   Tile
   TopK
   Transpose
   Trilu
   Unique
   Unsqueeze
   Upsample
   Where
   Xor
  ==========================================  ==========================================================================================

  ==========================================  ==========================================================================================
   ONNX Supported Operations (deprecated)      Limitations
  ==========================================  ==========================================================================================
   Affine
   Crop
   Scatter
   Upsample
  ==========================================  ==========================================================================================

  ======================================================================  ==============================================================
   ONNX Supported Operations (custom - the org.openvinotoolkit Domain)     Limitations
  ======================================================================  ==============================================================
   DeformableConv2D
   DetectionOutput
   ExperimentalDetectronDetectionOutput
   ExperimentalDetectronGenerateProposalsSingleImage
   ExperimentalDetectronGroupNorm
   ExperimentalDetectronPriorGridGenerator
   ExperimentalDetectronROIFeatureExtractor
   ExperimentalDetectronTopKROIs
   FakeQuantize
   GroupNorm
   Normalize
   PriorBox
   PriorBoxClustered
   Swish
  ======================================================================  ==============================================================

  ======================================================================  ==============================================================
   ONNX Supported Operations (custom - com.microsoft Domain)               Limitations
  ======================================================================  ==============================================================
   Attention
   Bias_Add
   BiasGelu
   Dynamic_Quantize_MatMul
   EmbedLayerNormalization
   Fast_Gelu
   Fused_Conv
   FusedGemm
   FusedMatMul
   MatMulIntegerToFloat
   MatMulNBits
   Pad
   QLinearActivation
   QLinearAdd
   QLinearMul
   QuickGelu
   Range
   SimplifiedLayerNormalization
   SkipLayerNormalization
   SkipSimplifiedLayerNormalization
  ======================================================================  ==============================================================

.. tab-item:: TensorFlow Lite

  ==========================================  ===============================================================================
  TensorFlow Lite Supported Operations         Limitations
  ==========================================  ===============================================================================
   ABS
   ADD
   ADD_N
   ARG_MAX
   ARG_MIN
   AVERAGE_POOL_2D
   BATCH_MATMUL
   BATCH_TO_SPACE_ND
   BROADCAST_ARGS
   BROADCAST_TO
   CAST
   CEIL
   COMPLEX_ABS                                 Supported in a specific pattern with RFFT2D
   CONCATENATION
   CONV_2D
   COS
   DEPTH_TO_SPACE
   DEPTHWISE_CONV_2D
   DEQUANTIZE
   DIV
   ELU
   EQUAL
   EXP
   EXPAND_DIMS
   FILL
   FLOOR
   FLOOR_DIV
   FLOOR_MOD
   FULLY_CONNECTED
   GATHER
   GATHER_ND
   GREATER
   GREATER_EQUAL
   HARD_SWISH
   L2_NORMALIZATION
   LEAKY_RELU
   LESS
   LESS_EQUAL
   LOG
   LOG_SOFTMAX
   LOGICAL_AND
   LOGICAL_NOT
   LOGICAL_OR
   LOGISTIC
   MATRIX_DIAG
   MAX_POOL_2D
   MAXIMUM
   MEAN
   MINIMUM
   MIRROR_PAD
   MUL
   NEG
   NOT_EQUAL
   ONE_HOT
   PACK
   PAD
   PADV2
   POW
   PRELU
   QUANTIZE
   RANGE
   RANK
   REDUCE_ALL
   REDUCE_ANY
   REDUCE_MAX
   REDUCE_MIN
   REDUCE_PROD
   RELU
   RELU6
   RESHAPE
   RESIZE_BILINEAR
   RESIZE_NEAREST_NEIGHBOR
   REVERSE_V2
   RFFT2D                                      Supported in a specific pattern with COMPLEX_ABS
   ROUND
   RSQRT
   SCATTER_ND
   SEGMENT_SUM
   SELECT
   SELECT_V2
   SHAPE
   SIGN
   SIN
   SLICE
   SOFTMAX
   SPACE_TO_BATCH_ND
   SPACE_TO_DEPTH
   SPLIT
   SPLIT_V
   SQRT
   SQUARE
   SQUARED_DIFFERENCE
   SQUEEZE
   STRIDED_SLICE
   SUB
   SUM
   TANH
   TILE
   TOPK_V2
   TRANSPOSE
   TRANSPOSE_CONV
   UNIQUE
   UNPACK
   WHERE
   ZEROS_LIKE
  ==========================================  ===============================================================================

.. tab-item:: TensorFlow2 Keras

  ==========================================  ==========================================================================================
   TensorFlow 2 Keras Supported Operations     Limitations
  ==========================================  ==========================================================================================
   ActivityRegularization
   Add
   AdditiveAttention
   AlphaDropout
   Attention
   Average
   AveragePooling1D
   AveragePooling2D
   AveragePooling3D
   BatchNormalization
   Bidirectional
   Concatenate
   Conv1D
   Conv1DTranspose                             Not supported if ``dilation`` is not equal to 1.
   Conv2D
   Conv2DTranspose
   Conv3D
   Conv3DTranspose
   Cropping1D
   Cropping2D
   Cropping3D
   Dense
   DenseFeatures                               Not supported for categorical and crossed features.
   DepthwiseConv2D
   Dot
   Dropout
   ELU
   Embedding
   Flatten
   GRU
   GRUCell
   GaussianDropout
   GaussianNoise
   GlobalAveragePooling1D
   GlobalAveragePooling2D
   GlobalAveragePooling3D
   GlobalMaxPool1D
   GlobalMaxPool2D
   GlobalMaxPool3D
   LSTM
   LSTMCell
   Lambda
   LayerNormalization
   LeakyReLU
   LocallyConnected1D
   LocallyConnected2D
   MaxPool1D
   MaxPool2D
   MaxPool3D
   Maximum
   Minimum
   Multiply
   PReLU
   Permute
   RNN                                         Not supported for some custom cells.
   ReLU
   RepeatVector
   Reshape
   Roll
   SeparableConv1D
   SeparableConv2D
   SimpleRNN
   SimpleRNNCell
   Softmax
   SpatialDropout1D
   SpatialDropout2D
   SpatialDropout3D
   StackedRNNCells
   Subtract
   ThresholdedReLU
   TimeDistributed
   UpSampling1D
   UpSampling2D
   UpSampling3D
   ZeroPadding1D
   ZeroPadding2D
   ZeroPadding3D
  ==========================================  ==========================================================================================