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    Class ReduceLogSum

    Represents a ReduceLogSum reduction layer along the given axes: f(x1, x2 ... xn) = log(x1 + x2 + ... + xn).

    Inheritance
    Object
    Layer
    Reduce
    ReduceLogSum
    Inherited Members
    Reduce.keepdims
    Reduce.noopWithEmptyAxes
    Reduce.ToString()
    Layer.inputs
    Layer.name
    Layer.outputs
    Layer.flags
    Object.Equals(Object)
    Object.Equals(Object, Object)
    Object.ReferenceEquals(Object, Object)
    Object.GetHashCode()
    Object.GetType()
    Object.MemberwiseClone()
    Namespace: Unity.Sentis.Layers
    Syntax
    [Serializable]
    public class ReduceLogSum : Reduce

    Constructors

    ReduceLogSum(String, String[], Boolean, Boolean)

    Initializes and returns an instance of ReduceLogSum reduction layer.

    Declaration
    public ReduceLogSum(string name, string[] inputs, bool keepdims = true, bool noopWithEmptyAxes = false)
    Parameters
    Type Name Description
    String name

    The name to use for the output tensor of the layer.

    String[] inputs

    The name of the input tensor and optionally the axes tensor. If no axes tensor is provided, the layer performs the reduction according to the value of noopWithEmptyAxes.

    Boolean keepdims

    Whether to keep the axis dimension in the output tensor. The default value is true.

    Boolean noopWithEmptyAxes

    Whether to perform an identity operation if the input axes tensor is empty. The default value is false.

    Methods

    Execute(Tensor[], ExecutionContext)

    Executes the layer using the operations and variables from the ExecutionContext and returns the output tensor.

    If the layer has more than one output, output tensors are saved to variables.

    Declaration
    public override Tensor Execute(Tensor[] inputTensors, ExecutionContext ctx)
    Parameters
    Type Name Description
    Tensor[] inputTensors
    ExecutionContext ctx
    Returns
    Type Description
    Tensor
    Overrides
    Layer.Execute(Tensor[], ExecutionContext)
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