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> | |
Output<T> |
sum()
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
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