Performs beam search decoding on the logits given in input.
A note about the attribute merge_repeated: For the beam search decoder, this means that if consecutive entries in a beam are the same, only the first of these is emitted. That is, when the top path is "A B B B B", "A B" is returned if merge_repeated = True but "A B B B B" is returned if merge_repeated = False.
Nested Classes
class | CtcBeamSearchDecoder.Options | Optional attributes for CtcBeamSearchDecoder
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Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
static <T extends TNumber> CtcBeamSearchDecoder<T> | |
List<Output<TInt64>> |
decodedIndices()
A list (length: top_paths) of indices matrices.
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List<Output<TInt64>> |
decodedShape()
A list (length: top_paths) of shape vector.
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List<Output<TInt64>> |
decodedValues()
A list (length: top_paths) of values vectors.
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Output<T> |
logProbability()
A matrix, shaped: `(batch_size x top_paths)`.
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static CtcBeamSearchDecoder.Options |
mergeRepeated(Boolean mergeRepeated)
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public static CtcBeamSearchDecoder<T> create (Scope scope, Operand<T> inputs, Operand<TInt32> sequenceLength, Long beamWidth, Long topPaths, Options... options)
Factory method to create a class wrapping a new CtcBeamSearchDecoder operation.
Parameters
scope | current scope |
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inputs | 3-D, shape: `(max_time x batch_size x num_classes)`, the logits. |
sequenceLength | A vector containing sequence lengths, size `(batch)`. |
beamWidth | A scalar >= 0 (beam search beam width). |
topPaths | A scalar >= 0, <= beam_width (controls output size). |
options | carries optional attributes values |
Returns
- a new instance of CtcBeamSearchDecoder
public List<Output<TInt64>> decodedIndices ()
A list (length: top_paths) of indices matrices. Matrix j,
size `(total_decoded_outputs[j] x 2)`, has indices of a
`SparseTensor
public List<Output<TInt64>> decodedShape ()
A list (length: top_paths) of shape vector. Vector j, size `(2)`, stores the shape of the decoded `SparseTensor[j]`. Its values are: `[batch_size, max_decoded_length[j]]`.
public List<Output<TInt64>> decodedValues ()
A list (length: top_paths) of values vectors. Vector j,
size `(length total_decoded_outputs[j])`, has the values of a
`SparseTensor
public Output<T> logProbability ()
A matrix, shaped: `(batch_size x top_paths)`. The sequence log-probabilities.
public static CtcBeamSearchDecoder.Options mergeRepeated (Boolean mergeRepeated)
Parameters
mergeRepeated | If true, merge repeated classes in output. |
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