org.bytedeco.javacpp

Class tensorflow.ParseSequenceExample

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.ParseSequenceExample

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Transforms a vector of brain.SequenceExample protos (as strings) into typed tensors. Arguments: * scope: A Scope object * serialized: A vector containing binary serialized SequenceExample protos. * debug_name: A vector containing the names of the serialized protos. May contain, for example, table key (descriptive) name for the corresponding serialized proto. This is purely useful for debugging purposes, and the presence of values here has no effect on the output. May also be an empty vector if no name is available. * context_dense_defaults: A list of Ncontext_dense Tensors (some may be empty). context_dense_defaults[j] provides default values when the SequenceExample's context map lacks context_dense_key[j]. If an empty Tensor is provided for context_dense_defaults[j], then the Feature context_dense_keys[j] is required. The input type is inferred from context_dense_defaults[j], even when it's empty. If context_dense_defaults[j] is not empty, its shape must match context_dense_shapes[j]. * feature_list_dense_missing_assumed_empty: A vector listing the FeatureList keys which may be missing from the SequenceExamples. If the associated FeatureList is missing, it is treated as empty. By default, any FeatureList not listed in this vector must exist in the SequenceExamples. * context_sparse_keys: A list of Ncontext_sparse string Tensors (scalars). The keys expected in the Examples' features associated with context_sparse values. * context_dense_keys: A list of Ncontext_dense string Tensors (scalars). The keys expected in the SequenceExamples' context features associated with dense values. * feature_list_sparse_keys: A list of Nfeature_list_sparse string Tensors (scalars). The keys expected in the FeatureLists associated with sparse values. * feature_list_dense_keys: A list of Nfeature_list_dense string Tensors (scalars). The keys expected in the SequenceExamples' feature_lists associated with lists of dense values. Optional attributes (see Attrs): * context_sparse_types: A list of Ncontext_sparse types; the data types of data in each context Feature given in context_sparse_keys. Currently the ParseSingleSequenceExample supports DT_FLOAT (FloatList), DT_INT64 (Int64List), and DT_STRING (BytesList). * context_dense_shapes: A list of Ncontext_dense shapes; the shapes of data in each context Feature given in context_dense_keys. The number of elements in the Feature corresponding to context_dense_key[j] must always equal context_dense_shapes[j].NumEntries(). The shape of context_dense_values[j] will match context_dense_shapes[j]. * feature_list_sparse_types: A list of Nfeature_list_sparse types; the data types of data in each FeatureList given in feature_list_sparse_keys. Currently the ParseSingleSequenceExample supports DT_FLOAT (FloatList), DT_INT64 (Int64List), and DT_STRING (BytesList). * feature_list_dense_shapes: A list of Nfeature_list_dense shapes; the shapes of data in each FeatureList given in feature_list_dense_keys. The shape of each Feature in the FeatureList corresponding to feature_list_dense_key[j] must always equal feature_list_dense_shapes[j].NumEntries(). Returns: * OutputList context_sparse_indices * OutputList context_sparse_values * OutputList context_sparse_shapes * OutputList context_dense_values * OutputList feature_list_sparse_indices * OutputList feature_list_sparse_values * OutputList feature_list_sparse_shapes * OutputList feature_list_dense_values * OutputList feature_list_dense_lengths

Nested Class Summary

Nested Classes

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

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
ParseSequenceExample(Pointer p) Pointer cast constructor.
ParseSequenceExample(tensorflow.Scope scope, tensorflow.Input serialized, tensorflow.Input debug_name, tensorflow.InputList context_dense_defaults, tensorflow.StringVector feature_list_dense_missing_assumed_empty, tensorflow.StringVector context_sparse_keys, tensorflow.StringVector context_dense_keys, tensorflow.StringVector feature_list_sparse_keys, tensorflow.StringVector feature_list_dense_keys)
ParseSequenceExample(tensorflow.Scope scope, tensorflow.Input serialized, tensorflow.Input debug_name, tensorflow.InputList context_dense_defaults, tensorflow.StringVector feature_list_dense_missing_assumed_empty, tensorflow.StringVector context_sparse_keys, tensorflow.StringVector context_dense_keys, tensorflow.StringVector feature_list_sparse_keys, tensorflow.StringVector feature_list_dense_keys, tensorflow.ParseSequenceExample.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.OutputVector	context_dense_values()
tensorflow.ParseSequenceExample	context_dense_values(tensorflow.OutputVector context_dense_values)
tensorflow.OutputVector	context_sparse_indices()
tensorflow.ParseSequenceExample	context_sparse_indices(tensorflow.OutputVector context_sparse_indices)
tensorflow.OutputVector	context_sparse_shapes()
tensorflow.ParseSequenceExample	context_sparse_shapes(tensorflow.OutputVector context_sparse_shapes)
tensorflow.OutputVector	context_sparse_values()
tensorflow.ParseSequenceExample	context_sparse_values(tensorflow.OutputVector context_sparse_values)
static tensorflow.ParseSequenceExample.Attrs	ContextDenseShapes(tensorflow.PartialTensorShape x)
static tensorflow.ParseSequenceExample.Attrs	ContextSparseTypes(tensorflow.DataTypeVector x)
tensorflow.OutputVector	feature_list_dense_lengths()
tensorflow.ParseSequenceExample	feature_list_dense_lengths(tensorflow.OutputVector feature_list_dense_lengths)
tensorflow.OutputVector	feature_list_dense_values()
tensorflow.ParseSequenceExample	feature_list_dense_values(tensorflow.OutputVector feature_list_dense_values)
tensorflow.OutputVector	feature_list_sparse_indices()
tensorflow.ParseSequenceExample	feature_list_sparse_indices(tensorflow.OutputVector feature_list_sparse_indices)
tensorflow.OutputVector	feature_list_sparse_shapes()
tensorflow.ParseSequenceExample	feature_list_sparse_shapes(tensorflow.OutputVector feature_list_sparse_shapes)
tensorflow.OutputVector	feature_list_sparse_values()
tensorflow.ParseSequenceExample	feature_list_sparse_values(tensorflow.OutputVector feature_list_sparse_values)
static tensorflow.ParseSequenceExample.Attrs	FeatureListDenseShapes(tensorflow.PartialTensorShape x)
static tensorflow.ParseSequenceExample.Attrs	FeatureListDenseTypes(tensorflow.DataTypeVector x)
static tensorflow.ParseSequenceExample.Attrs	FeatureListSparseTypes(tensorflow.DataTypeVector x)
static tensorflow.ParseSequenceExample.Attrs	NcontextDense(long x)
static tensorflow.ParseSequenceExample.Attrs	NcontextSparse(long x)
static tensorflow.ParseSequenceExample.Attrs	NfeatureListDense(long x)
static tensorflow.ParseSequenceExample.Attrs	NfeatureListSparse(long x)
tensorflow.Operation	operation()
tensorflow.ParseSequenceExample	operation(tensorflow.Operation operation)

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

ParseSequenceExample

public ParseSequenceExample(Pointer p)

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

ParseSequenceExample

public ParseSequenceExample(@Const @ByRef
                            tensorflow.Scope scope,
                            @ByVal
                            tensorflow.Input serialized,
                            @ByVal
                            tensorflow.Input debug_name,
                            @ByVal
                            tensorflow.InputList context_dense_defaults,
                            @Cast(value="const tensorflow::gtl::ArraySlice<tensorflow::string>*") @ByRef
                            tensorflow.StringVector feature_list_dense_missing_assumed_empty,
                            @Cast(value="const tensorflow::gtl::ArraySlice<tensorflow::string>*") @ByRef
                            tensorflow.StringVector context_sparse_keys,
                            @Cast(value="const tensorflow::gtl::ArraySlice<tensorflow::string>*") @ByRef
                            tensorflow.StringVector context_dense_keys,
                            @Cast(value="const tensorflow::gtl::ArraySlice<tensorflow::string>*") @ByRef
                            tensorflow.StringVector feature_list_sparse_keys,
                            @Cast(value="const tensorflow::gtl::ArraySlice<tensorflow::string>*") @ByRef
                            tensorflow.StringVector feature_list_dense_keys)

ParseSequenceExample

public ParseSequenceExample(@Const @ByRef
                            tensorflow.Scope scope,
                            @ByVal
                            tensorflow.Input serialized,
                            @ByVal
                            tensorflow.Input debug_name,
                            @ByVal
                            tensorflow.InputList context_dense_defaults,
                            @Cast(value="const tensorflow::gtl::ArraySlice<tensorflow::string>*") @ByRef
                            tensorflow.StringVector feature_list_dense_missing_assumed_empty,
                            @Cast(value="const tensorflow::gtl::ArraySlice<tensorflow::string>*") @ByRef
                            tensorflow.StringVector context_sparse_keys,
                            @Cast(value="const tensorflow::gtl::ArraySlice<tensorflow::string>*") @ByRef
                            tensorflow.StringVector context_dense_keys,
                            @Cast(value="const tensorflow::gtl::ArraySlice<tensorflow::string>*") @ByRef
                            tensorflow.StringVector feature_list_sparse_keys,
                            @Cast(value="const tensorflow::gtl::ArraySlice<tensorflow::string>*") @ByRef
                            tensorflow.StringVector feature_list_dense_keys,
                            @Const @ByRef
                            tensorflow.ParseSequenceExample.Attrs attrs)

Method Detail

NcontextSparse

@ByVal
public static tensorflow.ParseSequenceExample.Attrs NcontextSparse(@Cast(value="tensorflow::int64")
                                                                           long x)

NcontextDense

@ByVal
public static tensorflow.ParseSequenceExample.Attrs NcontextDense(@Cast(value="tensorflow::int64")
                                                                          long x)

NfeatureListSparse

@ByVal
public static tensorflow.ParseSequenceExample.Attrs NfeatureListSparse(@Cast(value="tensorflow::int64")
                                                                               long x)

NfeatureListDense

@ByVal
public static tensorflow.ParseSequenceExample.Attrs NfeatureListDense(@Cast(value="tensorflow::int64")
                                                                              long x)

ContextSparseTypes

@ByVal
public static tensorflow.ParseSequenceExample.Attrs ContextSparseTypes(@Cast(value="const tensorflow::DataTypeSlice*") @ByRef
                                                                               tensorflow.DataTypeVector x)

FeatureListDenseTypes

@ByVal
public static tensorflow.ParseSequenceExample.Attrs FeatureListDenseTypes(@Cast(value="const tensorflow::DataTypeSlice*") @ByRef
                                                                                  tensorflow.DataTypeVector x)

ContextDenseShapes

@ByVal
public static tensorflow.ParseSequenceExample.Attrs ContextDenseShapes(@tensorflow.ArraySlice
                                                                               tensorflow.PartialTensorShape x)

FeatureListSparseTypes

@ByVal
public static tensorflow.ParseSequenceExample.Attrs FeatureListSparseTypes(@Cast(value="const tensorflow::DataTypeSlice*") @ByRef
                                                                                   tensorflow.DataTypeVector x)

FeatureListDenseShapes

@ByVal
public static tensorflow.ParseSequenceExample.Attrs FeatureListDenseShapes(@tensorflow.ArraySlice
                                                                                   tensorflow.PartialTensorShape x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.ParseSequenceExample operation(tensorflow.Operation operation)

context_sparse_indices

@ByRef
 @Cast(value="tensorflow::OutputList*")
public tensorflow.OutputVector context_sparse_indices()

context_sparse_indices

public tensorflow.ParseSequenceExample context_sparse_indices(tensorflow.OutputVector context_sparse_indices)

context_sparse_values

@ByRef
 @Cast(value="tensorflow::OutputList*")
public tensorflow.OutputVector context_sparse_values()

context_sparse_values

public tensorflow.ParseSequenceExample context_sparse_values(tensorflow.OutputVector context_sparse_values)

context_sparse_shapes

@ByRef
 @Cast(value="tensorflow::OutputList*")
public tensorflow.OutputVector context_sparse_shapes()

context_sparse_shapes

public tensorflow.ParseSequenceExample context_sparse_shapes(tensorflow.OutputVector context_sparse_shapes)

context_dense_values

@ByRef
 @Cast(value="tensorflow::OutputList*")
public tensorflow.OutputVector context_dense_values()

context_dense_values

public tensorflow.ParseSequenceExample context_dense_values(tensorflow.OutputVector context_dense_values)

feature_list_sparse_indices

@ByRef
 @Cast(value="tensorflow::OutputList*")
public tensorflow.OutputVector feature_list_sparse_indices()

feature_list_sparse_indices

public tensorflow.ParseSequenceExample feature_list_sparse_indices(tensorflow.OutputVector feature_list_sparse_indices)

feature_list_sparse_values

@ByRef
 @Cast(value="tensorflow::OutputList*")
public tensorflow.OutputVector feature_list_sparse_values()

feature_list_sparse_values

public tensorflow.ParseSequenceExample feature_list_sparse_values(tensorflow.OutputVector feature_list_sparse_values)

feature_list_sparse_shapes

@ByRef
 @Cast(value="tensorflow::OutputList*")
public tensorflow.OutputVector feature_list_sparse_shapes()

feature_list_sparse_shapes

public tensorflow.ParseSequenceExample feature_list_sparse_shapes(tensorflow.OutputVector feature_list_sparse_shapes)

feature_list_dense_values

@ByRef
 @Cast(value="tensorflow::OutputList*")
public tensorflow.OutputVector feature_list_dense_values()

feature_list_dense_values

public tensorflow.ParseSequenceExample feature_list_dense_values(tensorflow.OutputVector feature_list_dense_values)

feature_list_dense_lengths

@ByRef
 @Cast(value="tensorflow::OutputList*")
public tensorflow.OutputVector feature_list_dense_lengths()

feature_list_dense_lengths

public tensorflow.ParseSequenceExample feature_list_dense_lengths(tensorflow.OutputVector feature_list_dense_lengths)