CtcGreedyDecoder

public final class CtcGreedyDecoder

Performs greedy decoding on the logits given in inputs.

A note about the attribute merge_repeated: if enabled, when consecutive logits' maximum indices are the same, only the first of these is emitted. Labeling the blank '*', the sequence "A B B * B B" becomes "A B B" if merge_repeated = True and "A B B B B" if merge_repeated = False.

Regardless of the value of merge_repeated, if the maximum index of a given time and batch corresponds to the blank, index `(num_classes - 1)`, no new element is emitted.

Nested Classes

class CtcGreedyDecoder.Options Optional attributes for CtcGreedyDecoder

Constants

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

Public Methods

static <T extends TNumber> CtcGreedyDecoder<T>	create(Scope scope, Operand<T> inputs, Operand<TInt32> sequenceLength, Options... options) Factory method to create a class wrapping a new CtcGreedyDecoder operation.
Output<TInt64>	decodedIndices() Indices matrix, size `(total_decoded_outputs x 2)`, of a `SparseTensor`.
Output<TInt64>	decodedShape() Shape vector, size `(2)`, of the decoded SparseTensor.
Output<TInt64>	decodedValues() Values vector, size: `(total_decoded_outputs)`, of a `SparseTensor`.
Output<T>	logProbability() Matrix, size `(batch_size x 1)`, containing sequence log-probabilities.
static CtcGreedyDecoder.Options	mergeRepeated(Boolean mergeRepeated)

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

Constants

public static final String OP_NAME

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

Constant Value: "CTCGreedyDecoder"

Public Methods

public static CtcGreedyDecoder<T> create (Scope scope, Operand<T> inputs, Operand<TInt32> sequenceLength, Options... options)

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

Parameters

scope	current scope
inputs	3-D, shape: `(max_time x batch_size x num_classes)`, the logits.
sequenceLength	A vector containing sequence lengths, size `(batch_size)`.
options	carries optional attributes values

Returns

a new instance of CtcGreedyDecoder

public Output<TInt64> decodedIndices ()

Indices matrix, size `(total_decoded_outputs x 2)`, of a `SparseTensor`. The rows store: [batch, time].

public Output<TInt64> decodedShape ()

Shape vector, size `(2)`, of the decoded SparseTensor. Values are: `[batch_size, max_decoded_length]`.

public Output<TInt64> decodedValues ()

Values vector, size: `(total_decoded_outputs)`, of a `SparseTensor`. The vector stores the decoded classes.

public Output<T> logProbability ()

Matrix, size `(batch_size x 1)`, containing sequence log-probabilities.

public static CtcGreedyDecoder.Options mergeRepeated (Boolean mergeRepeated)

Parameters

mergeRepeated	If True, merge repeated classes in output.