Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

Sum

public final class Sum

Computes the sum 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 Sum.Options Optional attributes for Sum

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of a tensor.
static <T, U extends Number> Sum <T>
create ( Scope scope, Operand <T> input, Operand <U> axis, Options... options)
Factory method to create a class wrapping a new Sum operation.
static Sum.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 Sum <T> create ( Scope scope, Operand <T> input, Operand <U> axis, Options... options)

Factory method to create a class wrapping a new Sum 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 Sum

public static Sum.Options keepDims (Boolean keepDims)

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

public Output <T> output ()

The reduced tensor.