@Namespace(value="tensorflow::ops") @NoOffset @Properties(inherit=tensorflow.class) public class TakeManySparseFromTensorsMap extends Pointer
SparseTensors
from a SparseTensorsMap
and concatenate them.
The input sparse_handles
must be an int64
matrix of shape [N, 1]
where
N
is the minibatch size and the rows correspond to the output handles of
AddSparseToTensorsMap
or AddManySparseToTensorsMap
. The ranks of the
original SparseTensor
objects that went into the given input ops 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 on the left).
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 handles represent an input, which is a [2, 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 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
* sparse_handles: 1-D, The N
serialized SparseTensor
objects.
Shape: [N]
.
* dtype: The dtype
of the SparseTensor
objects stored in the
SparseTensorsMap
.
Optional attributes (see Attrs
):
* container: The container name for the SparseTensorsMap
read by this op.
* shared_name: The shared name for the SparseTensorsMap
read by this op.
It should not be blank; rather the shared_name
or unique Operation name
of the Op that created the original SparseTensorsMap
should be used.
Returns:
* Output
sparse_indices: 2-D. The indices
of the minibatch SparseTensor
.
* Output
sparse_values: 1-D. The values
of the minibatch SparseTensor
.
* Output
sparse_shape: 1-D. The shape
of the minibatch SparseTensor
.Modifier and Type | Class and Description |
---|---|
static class |
TakeManySparseFromTensorsMap.Attrs
Optional attribute setters for TakeManySparseFromTensorsMap
|
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter
Constructor and Description |
---|
TakeManySparseFromTensorsMap(Pointer p)
Pointer cast constructor.
|
TakeManySparseFromTensorsMap(Scope scope,
Input sparse_handles,
int dtype) |
TakeManySparseFromTensorsMap(Scope scope,
Input sparse_handles,
int dtype,
TakeManySparseFromTensorsMap.Attrs attrs) |
Modifier and Type | Method and Description |
---|---|
static TakeManySparseFromTensorsMap.Attrs |
Container(BytePointer x) |
static TakeManySparseFromTensorsMap.Attrs |
Container(String x) |
Operation |
operation() |
TakeManySparseFromTensorsMap |
operation(Operation setter) |
static TakeManySparseFromTensorsMap.Attrs |
SharedName(BytePointer x) |
static TakeManySparseFromTensorsMap.Attrs |
SharedName(String x) |
Output |
sparse_indices() |
TakeManySparseFromTensorsMap |
sparse_indices(Output setter) |
Output |
sparse_shape() |
TakeManySparseFromTensorsMap |
sparse_shape(Output setter) |
Output |
sparse_values() |
TakeManySparseFromTensorsMap |
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 TakeManySparseFromTensorsMap(Pointer p)
Pointer(Pointer)
.public TakeManySparseFromTensorsMap(@Const @ByRef Scope scope, @ByVal Input sparse_handles, @Cast(value="tensorflow::DataType") int dtype)
@ByVal public static TakeManySparseFromTensorsMap.Attrs Container(@tensorflow.StringPiece BytePointer x)
@ByVal public static TakeManySparseFromTensorsMap.Attrs Container(@tensorflow.StringPiece String x)
@ByVal public static TakeManySparseFromTensorsMap.Attrs SharedName(@tensorflow.StringPiece BytePointer x)
@ByVal public static TakeManySparseFromTensorsMap.Attrs SharedName(@tensorflow.StringPiece String x)
public TakeManySparseFromTensorsMap operation(Operation setter)
public TakeManySparseFromTensorsMap sparse_indices(Output setter)
public TakeManySparseFromTensorsMap sparse_values(Output setter)
public TakeManySparseFromTensorsMap sparse_shape(Output setter)
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