Watch keynotes, product sessions, workshops, and more from Google I/O See playlist

Min

public final class Min

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 Min.Options Optional attributes for Min

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 > Min <T>
create ( Scope scope, Operand <T> input, Operand <? extends TNumber > axis, Options... options)
Factory method to create a class wrapping a new Min operation.
static Min.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

Constant Value: "Min"

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 Min <T> create ( Scope scope, Operand <T> input, Operand <? extends TNumber > axis, Options... options)

Factory method to create a class wrapping a new Min 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 Min

public static Min.Options keepDims (Boolean keepDims)

Parameters
keepDims If true, retain reduced dimensions with length 1.

public Output <T> output ()

The reduced tensor.