public final class
EuclideanNorm
Computes the euclidean norm of elements across dimensions of a tensor.
Reduces `input` along the dimensions given in `axis`. Unless `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in `axis`. If `keep_dims` is true, the reduced dimensions are retained with length 1.
Nested Classes
| class | EuclideanNorm.Options | Optional attributes for EuclideanNorm
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Public Methods
| Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
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| static <T, U extends Number> EuclideanNorm<T> |
create(Scope scope, Operand<T> input, Operand<U> axis, Options... options)
Factory method to create a class wrapping a new EuclideanNorm operation.
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| static EuclideanNorm.Options |
keepDims(Boolean keepDims)
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| Output<T> |
output()
The reduced tensor.
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Inherited Methods
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static EuclideanNorm<T> create (Scope scope, Operand<T> input, Operand<U> axis, Options... options)
Factory method to create a class wrapping a new EuclideanNorm operation.
Parameters
| scope | current scope |
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| input | The tensor to reduce. |
| axis | The dimensions to reduce. Must be in the range `[-rank(input), rank(input))`. |
| options | carries optional attributes values |
Returns
- a new instance of EuclideanNorm
public static EuclideanNorm.Options keepDims (Boolean keepDims)
Parameters
| keepDims | If true, retain reduced dimensions with length 1. |
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