AccumulateN

public final class AccumulateN

Returns the element-wise sum of a list of tensors.

`tf.accumulate_n_v2` performs the same operation as `tf.add_n`, but does not wait for all of its inputs to be ready before beginning to sum. This can save memory if inputs are ready at different times, since minimum temporary storage is proportional to the output size rather than the inputs size.

Unlike the original `accumulate_n`, `accumulate_n_v2` is differentiable.

Returns a `Tensor` of same shape and type as the elements of `inputs`.

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 > AccumulateN <T>
create ( Scope scope, Iterable< Operand <T>> inputs, Shape shape)
Factory method to create a class wrapping a new AccumulateN operation.
Output <T>

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "AccumulateNV2"

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 AccumulateN <T> create ( Scope scope, Iterable< Operand <T>> inputs, Shape shape)

Factory method to create a class wrapping a new AccumulateN operation.

Parameters
scope current scope
inputs A list of `Tensor` objects, each with same shape and type.
shape Shape of elements of `inputs`.
Returns
  • a new instance of AccumulateN

public Output <T> sum ()