org.tensorflow.op.core

Class AccumulateNV2<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.AccumulateNV2<T>

Type Parameters:

T - data type for sum() output

All Implemented Interfaces:

Op, Operand<T>

@Operator
public final class AccumulateNV2<T>
extends PrimitiveOp
implements Operand<T>

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`.

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T> AccumulateNV2<T>	create(Scope scope, Operand<T> inputs, Shape shape) Factory method to create a class to wrap a new AccumulateNV2 operation to the graph.
Output<T>	sum()

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Detail

create

public static <T> AccumulateNV2<T> create(Scope scope,
                                          Operand<T> inputs,
                                          Shape shape)

Factory method to create a class to wrap a new AccumulateNV2 operation to the graph.

Parameters:

scope - current graph scope

inputs - A list of `Tensor` objects, each with same shape and type.

shape - Shape of elements of `inputs`.

Returns:

a new instance of AccumulateNV2

sum

public Output<T> sum()

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

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.

Specified by:

asOutput in interface Operand<T>

See Also:

OperationBuilder.addInput(Output)