org.bytedeco.javacpp

Class tensorflow.EditDistance

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.EditDistance

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.EditDistance
extends Pointer

Computes the (possibly normalized) Levenshtein Edit Distance. The inputs are variable-length sequences provided by SparseTensors (hypothesis_indices, hypothesis_values, hypothesis_shape) and (truth_indices, truth_values, truth_shape). The inputs are: Arguments: * scope: A Scope object * hypothesis_indices: The indices of the hypothesis list SparseTensor. This is an N x R int64 matrix. * hypothesis_values: The values of the hypothesis list SparseTensor. This is an N-length vector. * hypothesis_shape: The shape of the hypothesis list SparseTensor. This is an R-length vector. * truth_indices: The indices of the truth list SparseTensor. This is an M x R int64 matrix. * truth_values: The values of the truth list SparseTensor. This is an M-length vector. * truth_shape: truth indices, vector. Optional attributes (see Attrs): * normalize: boolean (if true, edit distances are normalized by length of truth). The output is: Returns: * Output: A dense float tensor with rank R - 1. For the example input: // hypothesis represents a 2x1 matrix with variable-length values: // (0,0) = ["a"] // (1,0) = ["b"] hypothesis_indices = [[0, 0, 0], [1, 0, 0]] hypothesis_values = ["a", "b"] hypothesis_shape = [2, 1, 1] // truth represents a 2x2 matrix with variable-length values: // (0,0) = [] // (0,1) = ["a"] // (1,0) = ["b", "c"] // (1,1) = ["a"] truth_indices = [[0, 1, 0], [1, 0, 0], [1, 0, 1], [1, 1, 0]] truth_values = ["a", "b", "c", "a"] truth_shape = [2, 2, 2] normalize = true The output will be: // output is a 2x2 matrix with edit distances normalized by truth lengths. output = [[inf, 1.0], // (0,0): no truth, (0,1): no hypothesis [0.5, 1.0]] // (1,0): addition, (1,1): no hypothesis

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.EditDistance.Attrs Optional attribute setters for EditDistance

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
EditDistance(Pointer p) Pointer cast constructor.
EditDistance(tensorflow.Scope scope, tensorflow.Input hypothesis_indices, tensorflow.Input hypothesis_values, tensorflow.Input hypothesis_shape, tensorflow.Input truth_indices, tensorflow.Input truth_values, tensorflow.Input truth_shape)
EditDistance(tensorflow.Scope scope, tensorflow.Input hypothesis_indices, tensorflow.Input hypothesis_values, tensorflow.Input hypothesis_shape, tensorflow.Input truth_indices, tensorflow.Input truth_values, tensorflow.Input truth_shape, tensorflow.EditDistance.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
static tensorflow.EditDistance.Attrs	Normalize(boolean x)
tensorflow.Operation	operation()
tensorflow.EditDistance	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.EditDistance	output(tensorflow.Output output)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

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

Constructor Detail

EditDistance

public EditDistance(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

EditDistance

public EditDistance(@Const @ByRef
                    tensorflow.Scope scope,
                    @ByVal
                    tensorflow.Input hypothesis_indices,
                    @ByVal
                    tensorflow.Input hypothesis_values,
                    @ByVal
                    tensorflow.Input hypothesis_shape,
                    @ByVal
                    tensorflow.Input truth_indices,
                    @ByVal
                    tensorflow.Input truth_values,
                    @ByVal
                    tensorflow.Input truth_shape)

EditDistance

public EditDistance(@Const @ByRef
                    tensorflow.Scope scope,
                    @ByVal
                    tensorflow.Input hypothesis_indices,
                    @ByVal
                    tensorflow.Input hypothesis_values,
                    @ByVal
                    tensorflow.Input hypothesis_shape,
                    @ByVal
                    tensorflow.Input truth_indices,
                    @ByVal
                    tensorflow.Input truth_values,
                    @ByVal
                    tensorflow.Input truth_shape,
                    @Const @ByRef
                    tensorflow.EditDistance.Attrs attrs)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public tensorflow.Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public tensorflow.Input asInput()

node

public tensorflow.Node node()

Normalize

@ByVal
public static tensorflow.EditDistance.Attrs Normalize(@Cast(value="bool")
                                                              boolean x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.EditDistance operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.EditDistance output(tensorflow.Output output)