org.bytedeco.javacpp

Class tensorflow.SerializeManySparse

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.SerializeManySparse

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Serialize an N-minibatch SparseTensor into an [N, 3] Tensor object. The SparseTensor must have rank R greater than 1, and the first dimension is treated as the minibatch dimension. Elements of the SparseTensor must be sorted in increasing order of this first dimension. The serialized SparseTensor objects going into each row of serialized_sparse will have rank R-1. The minibatch size N is extracted from sparse_shape[0]. Arguments: * scope: A Scope object * sparse_indices: 2-D. The indices of the minibatch SparseTensor. * sparse_values: 1-D. The values of the minibatch SparseTensor. * sparse_shape: 1-D. The shape of the minibatch SparseTensor. Optional attributes (see Attrs): * out_type: The dtype to use for serialization; the supported types are string (default) and variant. Returns: * Output: The serialized_sparse tensor.

Nested Class Summary

Nested Classes

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

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
SerializeManySparse(Pointer p) Pointer cast constructor.
SerializeManySparse(tensorflow.Scope scope, tensorflow.Input sparse_indices, tensorflow.Input sparse_values, tensorflow.Input sparse_shape)
SerializeManySparse(tensorflow.Scope scope, tensorflow.Input sparse_indices, tensorflow.Input sparse_values, tensorflow.Input sparse_shape, tensorflow.SerializeManySparse.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.SerializeManySparse	operation(tensorflow.Operation operation)
static tensorflow.SerializeManySparse.Attrs	OutType(int x)
tensorflow.Output	serialized_sparse()
tensorflow.SerializeManySparse	serialized_sparse(tensorflow.Output serialized_sparse)

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

SerializeManySparse

public SerializeManySparse(Pointer p)

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

SerializeManySparse

public SerializeManySparse(@Const @ByRef
                           tensorflow.Scope scope,
                           @ByVal
                           tensorflow.Input sparse_indices,
                           @ByVal
                           tensorflow.Input sparse_values,
                           @ByVal
                           tensorflow.Input sparse_shape)

SerializeManySparse

public SerializeManySparse(@Const @ByRef
                           tensorflow.Scope scope,
                           @ByVal
                           tensorflow.Input sparse_indices,
                           @ByVal
                           tensorflow.Input sparse_values,
                           @ByVal
                           tensorflow.Input sparse_shape,
                           @Const @ByRef
                           tensorflow.SerializeManySparse.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()

OutType

@ByVal
public static tensorflow.SerializeManySparse.Attrs OutType(@Cast(value="tensorflow::DataType")
                                                                   int x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.SerializeManySparse operation(tensorflow.Operation operation)

serialized_sparse

@ByRef
public tensorflow.Output serialized_sparse()

serialized_sparse

public tensorflow.SerializeManySparse serialized_sparse(tensorflow.Output serialized_sparse)