Computes the maximum 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 | ReduceMax.Options | Optional attributes for ReduceMax | |
Public Methods
| Output<T> | 
asOutput()
                
                   Returns the symbolic handle of a tensor. | 
| static <T, U extends Number> ReduceMax<T> | 
create(Scope scope, Operand<T> input, Operand<U> axis, Options... options)
                
                   Factory method to create a class wrapping a new ReduceMax operation. | 
| static ReduceMax.Options | 
keepDims(Boolean keepDims)
                
               | 
| Output<T> | 
output()
                
                   The reduced tensor. | 
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 ReduceMax<T> create (Scope scope, Operand<T> input, Operand<U> axis, Options... options)
Factory method to create a class wrapping a new ReduceMax 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 ReduceMax
public static ReduceMax.Options keepDims (Boolean keepDims)
Parameters
| keepDims | If true, retain reduced dimensions with length 1. | 
|---|