org.tensorflow.op.core

Class ParseTensor<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

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

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Op, Operand<T>

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

Transforms a serialized tensorflow.TensorProto proto into a Tensor.

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> ParseTensor<T>	create(Scope scope, Operand<String> serialized, Class<T> outType) Factory method to create a class to wrap a new ParseTensor operation to the graph.
Output<T>	output() A Tensor of type `out_type`.

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> ParseTensor<T> create(Scope scope,
                                        Operand<String> serialized,
                                        Class<T> outType)

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

Parameters:

scope - current graph scope

serialized - A scalar string containing a serialized TensorProto proto.

outType - The type of the serialized tensor. The provided type must match the type of the serialized tensor and no implicit conversion will take place.

Returns:

a new instance of ParseTensor

output

public Output<T> output()

A Tensor of type `out_type`.

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)