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    Supported ONNX operators

    When you import a model, each Open Neural Network Exchange (ONNX) operator in the model graph becomes a Sentis layer. A Sentis layer has the same name as the ONNX operator, unless the table shows the operator maps to a different layer. Refer to How Sentis optimizes a model for more information.

    Supported ONNX operators

    The table below shows which ONNX operators Sentis supports, and which data types Sentis supports for each backend type.

    Name Supported data types with BackendType.CPU Supported data types with BackendType.GPUCompute Supported data types with BackendType.GPUPixel Notes
    Abs float, int float, int float, int
    Acos float float float
    Acosh float float float
    Add float, int float, int float, int
    And int int int
    ArgMax float, int float, int float, int
    ArgMin float, int float, int float, int
    Asin float float float
    Asinh float float float
    Atan float float float
    Atanh float float float
    AveragePool float float (1D and 2D only) float (1D and 2D only) The ceil_mode and count_include_pad parameters aren't supported.
    BatchNormalization float float float The momentum, spatial and training_mode parameters aren't supported.
    Bernoulli float, int float, int float, int
    Cast float, int, short float, int, short float, int, short
    CastLike float, int, short float, int, short float, int, short
    Ceil float float float
    Celu float float float
    Clip float, int float, int float, int
    Compress float, int Not supported Not supported
    Concat float, int float, int float, int
    Constant - - - The sparse_value parameter isn't supported.
    ConstantOfShape float, int float, int float, int
    Conv float float (1D, 2D and 3D)* float (1D, 2D and 3D)
    ConvTranspose float float (1D, 2D and 3D) float (1D, 2D and 3D) The dilations, group and output_shape parameters aren't supported.
    Cos float float float
    Cosh float float float
    CumSum float, int float, int float, int
    DepthToSpace float float float
    Div float, int float, int float, int
    Dropout - - - The operator maps to the Sentis layer Identity
    Einsum float float (1 or 2 inputs only) Not supported
    Elu float float float
    Equal float, int float, int float, int
    Erf float float float
    Exp float float float
    Expand float, int float, int float, int
    Flatten float, int float, int float, int
    Floor float float float
    Gather float, int float, int float, int
    GatherElements float, int float, int float, int
    GatherND float, int float, int float, int
    Gemm float float float
    GlobalAveragePool float float float
    GlobalMaxPool float float float
    Greater float, int float, int float, int
    GreaterOrEqual float, int float, int float, int
    GridSample float float float
    Hardmax float float float
    HardSigmoid float float float
    HardSwish float float float
    Identity float, int float, int float, int
    InstanceNormalization float float float
    IsInf float float float (Infs not supported)
    IsNaN float float float (NaNs not supported)
    LayerNormalization float float float
    LeakyRelu float float float
    Less float, int float, int float, int
    LessOrEqual float, int float, int float, int
    Log float float float
    LogSoftmax float float float
    LRN float Not supported Not supported
    LSTM float float Not supported
    MatMul float float* float
    Max float, int float, int float, int
    MaxPool float float (1D and 2D only) float (1D and 2D only) The ceil_mode, dilations and storage_order parameters aren't supported.
    Mean float float float The operator maps to the Sentis layers Add and ScalarMad.
    Min float, int float, int float, int
    Mod float, int float, int float, int
    Mul float, int float, int float, int
    Multinomial float Not supported Not supported
    Neg float, int float, int float, int
    NonMaxSuppression float float Not supported
    NonZero float, int Not supported Not supported
    Not int int int
    OneHot float, int float, int float, int
    Or int int int
    Pad float, int float, int float, int
    Pow float, int float, int float, int
    PRelu float float float
    RandomNormal float float float
    RandomNormalLike float float float
    RandomUniform float float float
    RandomUniformLike float float float
    Range float, int float, int float, int
    Reciprocal float float float
    ReduceL1 float, int float*, int* float, int
    ReduceL2 float float* float
    ReduceLogSum float float* float
    ReduceLogSumExp float float float
    ReduceMax float, int float*, int* float, int
    ReduceMean float float* float
    ReduceMin float, int float*, int* float, int
    ReduceProd float, int float*, int* float, int
    ReduceSum float, int float*, int* float, int
    ReduceSumSquare float, int float*, int* float, int
    Relu float float float
    Reshape float, int float, int float, int
    Resize float float float The cubic_coeff_a, exclude_outside, extrapolation_value and roi parameters aren't supported.
    RoiAlign float float float The coordinate_transformation_mode parameter isn't supported.
    Round float float float
    Scatter (deprecated) float, int float, int float, int The operator maps to the Sentis layer ScatterElements.
    ScatterElements float, int float, int (no ScatterReductionMode) float, int
    ScatterND float, int float, int float, int
    Selu float float float
    Shape - - - The operator returns a CPU tensor without downloading the input tensor.
    Shrink float float float
    Sigmoid float float float
    Sign float, int float, int float, int
    Sin float float float
    Sinh float float float
    Size - - - The operator returns a CPU tensor without downloading the input tensor.
    Slice float, int float, int float, int
    Softmax float float float
    Softplus float float float
    Softsign float float float
    SpaceToDepth float float float
    Split float, int float, int float, int
    Sqrt float float float
    Squeeze float, int float, int float, int
    Sub float, int float, int float, int
    Sum float, int float, int float, int The operator maps to the Sentis layer Add.
    Tan float float float
    Tanh float float float
    ThresholdedRelu float float float
    Tile float, int float, int float, int
    TopK float float Not supported
    Transpose float, int float, int float, int
    Trilu float, int float, int float, int
    Unsqueeze float, int float, int float, int
    Upsample (deprecated) float float float The operator maps to the Sentis layer Resize.
    Where float, int float, int float, int
    Xor int int int

    * Sentis uses DirectML to accelerate these operators on supported hardware.

    Sentis-only layers

    Sentis might create the following layers when it optimizes the model.

    Name Supported data types with BackendType.CPU Supported data types with BackendType.GPUCompute Supported data types with BackendType.GPUPixel
    Dense float float* float
    DequantizeUint8 byte byte byte
    Gelu float float float
    GeluFast float float float
    MatMul2D float float* float
    MoveDim float, int float, int float, int
    Narrow float, int float, int float, int
    RandomChoice float, int float, int float, int
    Relu6 float float float
    RMSNormalization float float float
    ScalarMad float, int float, int float, int
    Select float, int float, int float, int
    SliceSet float, int float, int float, int
    Square float, int float, int float, int
    Swish float float float
    ScaleBias float float float

    * Sentis uses DirectML to accelerate these operators on supported hardware.

    Unsupported operators

    The following ONNX operators aren't supported in the current version of Sentis.

    • BitShift
    • ConcatFromSequence
    • ConvInteger
    • DequantizeLinear
    • Det
    • DynamicQuantizeLinear
    • EyeLike
    • If
    • GRU
    • Loop
    • LpPool
    • MatMulInteger
    • MaxUnpool
    • MeanVarianceNormalization
    • NegativeLogLikelihoodLoss
    • Optional
    • OptionalGetElement
    • OptionalHasElement
    • QLinearConv
    • QLinearMatMul
    • QuantizeLinear
    • ReverseSequence
    • RNN
    • Scan
    • SequenceAt
    • SequenceConstruct
    • SequenceEmpty
    • SequenceErase
    • SequenceInsert
    • SequenceLength
    • SoftmaxCrossEntropyLoss
    • SplitToSequence
    • StringNormalizer
    • TfIdfVectorizer
    • Unique

    Additional resources

    • ONNX operator schemas
    • Export an ONNX file from a machine learning framework
    • Profile a model
    • Supported functional methods
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