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.
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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. |
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