org.tensorflow.op.core

Class LogicalAnd

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.LogicalAnd

All Implemented Interfaces:

Op, Operand<Boolean>

@Operator
public final class LogicalAnd
extends PrimitiveOp
implements Operand<Boolean>

Returns the truth value of x AND y element-wise.

NOTE: `LogicalAnd` supports broadcasting. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<Boolean>	asOutput() Returns the symbolic handle of a tensor.
static LogicalAnd	create(Scope scope, Operand<Boolean> x, Operand<Boolean> y) Factory method to create a class to wrap a new LogicalAnd operation to the graph.
Output<Boolean>	z()

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 LogicalAnd create(Scope scope,
                                Operand<Boolean> x,
                                Operand<Boolean> y)

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

Parameters:

scope - current graph scope

x -

y -

Returns:

a new instance of LogicalAnd

z

public Output<Boolean> z()

asOutput

public Output<Boolean> 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<Boolean>

See Also:

OperationBuilder.addInput(Output)