@Namespace(value="tensorflow::ops") @NoOffset @Properties(inherit=tensorflow.class) public class DeserializeManySparse extends Pointer
SparseTensors
from a serialized minibatch.
The input serialized_sparse
must be a string matrix of shape [N x 3]
where
N
is the minibatch size and the rows correspond to packed outputs of
SerializeSparse
. The ranks of the original SparseTensor
objects
must all match. When the final SparseTensor
is created, it has rank one
higher than the ranks of the incoming SparseTensor
objects
(they have been concatenated along a new row dimension).
The output SparseTensor
object's shape values for all dimensions but the
first are the max across the input SparseTensor
objects' shape values
for the corresponding dimensions. Its first shape value is N
, the minibatch
size.
The input SparseTensor
objects' indices are assumed ordered in
standard lexicographic order. If this is not the case, after this
step run SparseReorder
to restore index ordering.
For example, if the serialized input is a [2 x 3]
matrix representing two
original SparseTensor
objects:
index = [ 0]
[10]
[20]
values = [1, 2, 3]
shape = [50]
and
index = [ 2]
[10]
values = [4, 5]
shape = [30]
then the final deserialized SparseTensor
will be:
index = [0 0]
[0 10]
[0 20]
[1 2]
[1 10]
values = [1, 2, 3, 4, 5]
shape = [2 50]
Arguments:
* scope: A Scope object
* serialized_sparse: 2-D, The N
serialized SparseTensor
objects.
Must have 3 columns.
* dtype: The dtype
of the serialized SparseTensor
objects.
Returns:
* Output
sparse_indices
* Output
sparse_values
* Output
sparse_shapePointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter
Constructor and Description |
---|
DeserializeManySparse(Pointer p)
Pointer cast constructor.
|
DeserializeManySparse(Scope scope,
Input serialized_sparse,
int dtype) |
Modifier and Type | Method and Description |
---|---|
Operation |
operation() |
DeserializeManySparse |
operation(Operation setter) |
Output |
sparse_indices() |
DeserializeManySparse |
sparse_indices(Output setter) |
Output |
sparse_shape() |
DeserializeManySparse |
sparse_shape(Output setter) |
Output |
sparse_values() |
DeserializeManySparse |
sparse_values(Output setter) |
address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getDirectBufferAddress, getPointer, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zero
public DeserializeManySparse(Pointer p)
Pointer(Pointer)
.public DeserializeManySparse operation(Operation setter)
public DeserializeManySparse sparse_indices(Output setter)
public DeserializeManySparse sparse_values(Output setter)
public DeserializeManySparse sparse_shape(Output setter)
Copyright © 2022. All rights reserved.