Computes the mean 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 | Mean.Options | Optional attributes for Mean | |
Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine | 
Public Methods
| Output<T> | 
asOutput()
                
                   Returns the symbolic handle of the tensor. | 
| static <T extends TType> Mean<T> | |
| static Mean.Options | 
keepDims(Boolean keepDims)
                
               | 
| Output<T> | 
output()
                
                   The reduced tensor. | 
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of the 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 Mean<T> create (Scope scope, Operand<T> input, Operand<? extends TNumber> axis, Options... options)
Factory method to create a class wrapping a new Mean operation.
Parameters
| scope | current scope | 
|---|---|
| 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 Mean
public static Mean.Options keepDims (Boolean keepDims)
Parameters
| keepDims | If true, retain reduced dimensions with length 1. | 
|---|