Class ParseExampleDataset

java.lang.Object

org.tensorflow.op.RawOp

org.tensorflow.op.data.experimental.ParseExampleDataset

All Implemented Interfaces:

Shaped, Op, Operand<TType>

@Operator(group="data.experimental")
public final class ParseExampleDataset
extends RawOp
implements Operand<TType>

Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	ParseExampleDataset.Inputs
static class	ParseExampleDataset.Options	Optional attributes for ParseExampleDataset

Field Summary

Fields

Modifier and Type	Field	Description
static final String	OP_NAME	The name of this op, as known by TensorFlow core engine

Fields inherited from class RawOp

operation

Constructor Summary

Constructors

Constructor	Description
ParseExampleDataset(Operation operation)

Method Summary

Modifier and Type	Method	Description
Output<TType>	asOutput()	Returns the symbolic handle of the tensor.
static ParseExampleDataset	create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> numParallelCalls, Iterable<Operand<?>> denseDefaults, List<String> sparseKeys, List<String> denseKeys, List<Class<? extends TType>> sparseTypes, List<Shape> denseShapes, List<Class<? extends TType>> outputTypes, List<Shape> outputShapes, ParseExampleDataset.Options... options)	Factory method to create a class wrapping a new ExperimentalParseExampleDataset operation.
Output<? extends TType>	handle()	Gets handle.
static ParseExampleDataset.Options	sloppy(Boolean sloppy)	Sets the sloppy option.

Methods inherited from class RawOp

equals, hashCode, op, toString

Methods inherited from class Object

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

Methods inherited from interface Op

env, op

Methods inherited from interface Operand

asTensor, shape, type

Methods inherited from interface Shaped

rank, size

Field Details

OP_NAME

public static final String OP_NAME

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

See Also:

• Constant Field Values

Constructor Details

ParseExampleDataset

public ParseExampleDataset(Operation operation)

Method Details

create

@Endpoint(describeByClass=true)
public static ParseExampleDataset create(Scope scope,
 Operand<? extends TType> inputDataset,
 Operand<TInt64> numParallelCalls,
 Iterable<Operand<?>> denseDefaults,
 List<String> sparseKeys,
 List<String> denseKeys,
 List<Class<? extends TType>> sparseTypes,
 List<Shape> denseShapes,
 List<Class<? extends TType>> outputTypes,
 List<Shape> outputShapes,
 ParseExampleDataset.Options... options)

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

Parameters:

scope - current scope

inputDataset - The inputDataset value

numParallelCalls - The numParallelCalls value

denseDefaults - A dict mapping string keys to Tensors. The keys of the dict must match the dense_keys of the feature.

sparseKeys - A list of string keys in the examples features. The results for these keys will be returned as SparseTensor objects.

denseKeys - A list of Ndense string Tensors (scalars). The keys expected in the Examples features associated with dense values.

sparseTypes - A list of DTypes of the same length as sparse_keys. Only tf.float32 (FloatList), tf.int64 (Int64List), and tf.string (BytesList) are supported.

denseShapes - List of tuples with the same length as dense_keys. The shape of the data for each dense feature referenced by dense_keys. Required for any input tensors identified by dense_keys. Must be either fully defined, or may contain an unknown first dimension. An unknown first dimension means the feature is treated as having a variable number of blocks, and the output shape along this dimension is considered unknown at graph build time. Padding is applied for minibatch elements smaller than the maximum number of blocks for the given feature along this dimension.

outputTypes - The type list for the return values.

outputShapes - The list of shapes being produced.

options - carries optional attribute values

Returns:

a new instance of ParseExampleDataset

sloppy

public static ParseExampleDataset.Options sloppy(Boolean sloppy)

Sets the sloppy option.

Parameters:

sloppy - the sloppy option

Returns:

this Options instance.

handle

public Output<? extends TType> handle()

Gets handle.

Returns:

handle.

asOutput

public Output<TType> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of the 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<TType>

See Also:

• OperationBuilder.addInput(Output)