org.bytedeco.javacpp

Class tensorflow.SparseAdd

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.SparseAdd

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Adds two SparseTensor objects to produce another SparseTensor. The input SparseTensor objects' indices are assumed ordered in standard lexicographic order. If this is not the case, before this step run SparseReorder to restore index ordering. By default, if two values sum to zero at some index, the output SparseTensor would still include that particular location in its index, storing a zero in the corresponding value slot. To override this, callers can specify thresh, indicating that if the sum has a magnitude strictly smaller than thresh, its corresponding value and index would then not be included. In particular, thresh == 0 (default) means everything is kept and actual thresholding happens only for a positive value. In the following shapes, nnz is the count after taking thresh into account. Arguments: * scope: A Scope object * a_indices: 2-D. The indices of the first SparseTensor, size [nnz, ndims] Matrix. * a_values: 1-D. The values of the first SparseTensor, size [nnz] Vector. * a_shape: 1-D. The shape of the first SparseTensor, size [ndims] Vector. * b_indices: 2-D. The indices of the second SparseTensor, size [nnz, ndims] Matrix. * b_values: 1-D. The values of the second SparseTensor, size [nnz] Vector. * b_shape: 1-D. The shape of the second SparseTensor, size [ndims] Vector. * thresh: 0-D. The magnitude threshold that determines if an output value/index pair takes space. Returns: * Output sum_indices * Output sum_values * Output sum_shape

Nested Class Summary

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
SparseAdd(Pointer p) Pointer cast constructor.
SparseAdd(tensorflow.Scope scope, tensorflow.Input a_indices, tensorflow.Input a_values, tensorflow.Input a_shape, tensorflow.Input b_indices, tensorflow.Input b_values, tensorflow.Input b_shape, tensorflow.Input thresh)

Method Summary

Modifier and Type	Method and Description
tensorflow.Operation	operation()
tensorflow.SparseAdd	operation(tensorflow.Operation operation)
tensorflow.Output	sum_indices()
tensorflow.SparseAdd	sum_indices(tensorflow.Output sum_indices)
tensorflow.Output	sum_shape()
tensorflow.SparseAdd	sum_shape(tensorflow.Output sum_shape)
tensorflow.Output	sum_values()
tensorflow.SparseAdd	sum_values(tensorflow.Output sum_values)

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

SparseAdd

public SparseAdd(Pointer p)

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

SparseAdd

public SparseAdd(@Const @ByRef
                 tensorflow.Scope scope,
                 @ByVal
                 tensorflow.Input a_indices,
                 @ByVal
                 tensorflow.Input a_values,
                 @ByVal
                 tensorflow.Input a_shape,
                 @ByVal
                 tensorflow.Input b_indices,
                 @ByVal
                 tensorflow.Input b_values,
                 @ByVal
                 tensorflow.Input b_shape,
                 @ByVal
                 tensorflow.Input thresh)

Method Detail

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.SparseAdd operation(tensorflow.Operation operation)

sum_indices

@ByRef
public tensorflow.Output sum_indices()

sum_indices

public tensorflow.SparseAdd sum_indices(tensorflow.Output sum_indices)

sum_values

@ByRef
public tensorflow.Output sum_values()

sum_values

public tensorflow.SparseAdd sum_values(tensorflow.Output sum_values)

sum_shape

@ByRef
public tensorflow.Output sum_shape()

sum_shape

public tensorflow.SparseAdd sum_shape(tensorflow.Output sum_shape)