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