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

ReduceSum

Stay organized with collections Save and categorize content based on your preferences.
public final class ReduceSum

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 ReduceSum.Options Optional attributes for ReduceSum  

Public Methods

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

Factory method to create a class wrapping a new ReduceSum 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 ReduceSum

public static ReduceSum.Options keepDims (Boolean keepDims)

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

public Output<T> output ()

The reduced tensor.