org.tensorflow.op.core

Class Bitcast<U>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.Bitcast<U>

Type Parameters:

U - data type for output() output

All Implemented Interfaces:

Op, Operand<U>

@Operator
public final class Bitcast<U>
extends PrimitiveOp
implements Operand<U>

Bitcasts a tensor from one type to another without copying data.

Given a tensor `input`, this operation returns a tensor that has the same buffer data as `input` with datatype `type`.

If the input datatype `T` is larger than the output datatype `type` then the shape changes from [...] to [..., sizeof(`T`)/sizeof(`type`)].

If `T` is smaller than `type`, the operator requires that the rightmost dimension be equal to sizeof(`type`)/sizeof(`T`). The shape then goes from [..., sizeof(`type`)/sizeof(`T`)] to [...].

NOTE: Bitcast is implemented as a low-level cast, so machines with different endian orderings will give different results.

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<U>	asOutput() Returns the symbolic handle of a tensor.
static <U,T> Bitcast<U>	create(Scope scope, Operand<T> input, Class<U> type) Factory method to create a class to wrap a new Bitcast operation to the graph.
Output<U>	output()

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 <U,T> Bitcast<U> create(Scope scope,
                                      Operand<T> input,
                                      Class<U> type)

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

Parameters:

scope - current graph scope

input -

type -

Returns:

a new instance of Bitcast

output

public Output<U> output()

asOutput

public Output<U> 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<U>

See Also:

OperationBuilder.addInput(Output)