org.tensorflow.op.math

Class Mod<T extends Number>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.math.Mod<T>

Type Parameters:

T - data type for z() output

All Implemented Interfaces:

Op, Operand<T>

@Operator(group="math")
public final class Mod<T extends Number>
extends PrimitiveOp
implements Operand<T>

Returns element-wise remainder of division. This emulates C semantics in that

the result here is consistent with a truncating divide. E.g. `tf.truncatediv(x, y) * y + truncate_mod(x, y) = x`.

NOTE: `math.Mod` 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<T>	asOutput() Returns the symbolic handle of a tensor.
static <T extends Number> Mod<T>	create(Scope scope, Operand<T> x, Operand<T> y) Factory method to create a class wrapping a new Mod operation.
Output<T>	z()

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, op, toString

Methods inherited from class java.lang.Object

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

Method Detail

create

public static <T extends Number> Mod<T> create(Scope scope,
                                               Operand<T> x,
                                               Operand<T> y)

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

Parameters:

scope - current scope

x -

y -

Returns:

a new instance of Mod

z

public Output<T> z()

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 extends Number>

See Also:

OperationBuilder.addInput(Output)