org.bytedeco.javacpp

Class tensorflow.AddManySparseToTensorsMap

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.AddManySparseToTensorsMap

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

\defgroup sparse_ops Sparse Ops \{

Add an N-minibatch SparseTensor to a SparseTensorsMap, return N handles. A SparseTensor of rank R is represented by three tensors: sparse_indices, sparse_values, and sparse_shape, where

 sparse_indices.shape[1] == sparse_shape.shape[0] == R

An N-minibatch of SparseTensor objects is represented as a SparseTensor having a first sparse_indices column taking values between [0, N), where the minibatch size N == sparse_shape[0]. The input 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 stored SparseTensor objects pointed to by each row of the output sparse_handles will have rank R-1. The SparseTensor values can then be read out as part of a minibatch by passing the given keys as vector elements to TakeManySparseFromTensorsMap. To ensure the correct SparseTensorsMap is accessed, ensure that the same container and shared_name are passed to that Op. If no shared_name is provided here, instead use the *name* of the Operation created by calling AddManySparseToTensorsMap as the shared_name passed to TakeManySparseFromTensorsMap. Ensure the Operations are colocated. Arguments: * scope: A Scope object * sparse_indices: 2-D. The indices of the minibatch SparseTensor. sparse_indices[:, 0] must be ordered values in [0, N). * sparse_values: 1-D. The values of the minibatch SparseTensor. * sparse_shape: 1-D. The shape of the minibatch SparseTensor. The minibatch size N == sparse_shape[0]. Optional attributes (see Attrs): * container: The container name for the SparseTensorsMap created by this op. * shared_name: The shared name for the SparseTensorsMap created by this op. If blank, the new Operation's unique name is used. Returns: * Output: 1-D. The handles of the SparseTensor now stored in the SparseTensorsMap. Shape: [N].

Nested Class Summary

Nested Classes

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

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

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
static tensorflow.AddManySparseToTensorsMap.Attrs	Container(BytePointer x)
static tensorflow.AddManySparseToTensorsMap.Attrs	Container(String x)
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.AddManySparseToTensorsMap	operation(tensorflow.Operation operation)
static tensorflow.AddManySparseToTensorsMap.Attrs	SharedName(BytePointer x)
static tensorflow.AddManySparseToTensorsMap.Attrs	SharedName(String x)
tensorflow.Output	sparse_handles()
tensorflow.AddManySparseToTensorsMap	sparse_handles(tensorflow.Output sparse_handles)

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

AddManySparseToTensorsMap

public AddManySparseToTensorsMap(Pointer p)

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

AddManySparseToTensorsMap

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

AddManySparseToTensorsMap

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

Container

@ByVal
public static tensorflow.AddManySparseToTensorsMap.Attrs Container(@tensorflow.StringPiece
                                                                           BytePointer x)

Container

@ByVal
public static tensorflow.AddManySparseToTensorsMap.Attrs Container(@tensorflow.StringPiece
                                                                           String x)

SharedName

@ByVal
public static tensorflow.AddManySparseToTensorsMap.Attrs SharedName(@tensorflow.StringPiece
                                                                            BytePointer x)

SharedName

@ByVal
public static tensorflow.AddManySparseToTensorsMap.Attrs SharedName(@tensorflow.StringPiece
                                                                            String x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.AddManySparseToTensorsMap operation(tensorflow.Operation operation)

sparse_handles

@ByRef
public tensorflow.Output sparse_handles()

sparse_handles

public tensorflow.AddManySparseToTensorsMap sparse_handles(tensorflow.Output sparse_handles)