BroadcastHelper

public final class BroadcastHelper

Helper operator for performing XLA-style broadcasts

Broadcasts `lhs` and `rhs` to the same rank, by adding size 1 dimensions to whichever of `lhs` and `rhs` has the lower rank, using XLA's broadcasting rules for binary operators.

Constants

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

Public Methods

static <T extends TType> BroadcastHelper<T>	create(Scope scope, Operand<T> lhs, Operand<T> rhs, Operand<? extends TNumber> broadcastDims) Factory method to create a class wrapping a new BroadcastHelper operation.
Output<T>	lhsOutput() the broadcasted LHS tensor
Output<T>	rhsOutput() the broadcasted RHS tensor

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

Constants

public static final String OP_NAME

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

Constant Value: "XlaBroadcastHelper"

Public Methods

public static BroadcastHelper<T> create (Scope scope, Operand<T> lhs, Operand<T> rhs, Operand<? extends TNumber> broadcastDims)

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

Parameters

scope	current scope
lhs	the LHS input tensor
rhs	the RHS input tensor
broadcastDims	an XLA-style broadcast dimension specification

Returns

a new instance of BroadcastHelper

public Output<T> lhsOutput ()

the broadcasted LHS tensor

public Output<T> rhsOutput ()

the broadcasted RHS tensor