tensorflow::ops::TakeManySparseFromTensorsMap
tensorflow::ops::TakeManySparseFromTensorsMap
#include <sparse_ops.h>
Read SparseTensors
from a SparseTensorsMap
and concatenate them.
Summary
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
serializedSparseTensor
objects. Shape:[N]
. - dtype: The
dtype
of theSparseTensor
objects stored in theSparseTensorsMap
.
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 theshared_name
or unique Operation name of the Op that created the originalSparseTensorsMap
should be used.
Returns:
-
Output
sparse_indices: 2-D. Theindices
of the minibatchSparseTensor
. -
Output
sparse_values: 1-D. Thevalues
of the minibatchSparseTensor
. -
Output
sparse_shape: 1-D. Theshape
of the minibatchSparseTensor
.
Constructors and Destructors | |
---|---|
TakeManySparseFromTensorsMap(const ::tensorflow::Scope & scope, ::tensorflow::Input sparse_handles, DataType dtype) | |
TakeManySparseFromTensorsMap(const ::tensorflow::Scope & scope, ::tensorflow::Input sparse_handles, DataType dtype, const TakeManySparseFromTensorsMap::Attrs & attrs) |
Public attributes | |
---|---|
sparse_indices | |
sparse_shape | |
sparse_values |
Public static functions | |
---|---|
Container(StringPiece x) | |
SharedName(StringPiece x) |
Structs | |
---|---|
tensorflow::ops::TakeManySparseFromTensorsMap::Attrs | Optional attribute setters for TakeManySparseFromTensorsMap. |
Public attributes
sparse_indices
::tensorflow::Output sparse_indices
sparse_shape
::tensorflow::Output sparse_shape
sparse_values
::tensorflow::Output sparse_values
Public functions
TakeManySparseFromTensorsMap
TakeManySparseFromTensorsMap( const ::tensorflow::Scope & scope, ::tensorflow::Input sparse_handles, DataType dtype )
TakeManySparseFromTensorsMap
TakeManySparseFromTensorsMap( const ::tensorflow::Scope & scope, ::tensorflow::Input sparse_handles, DataType dtype, const TakeManySparseFromTensorsMap::Attrs & attrs )
Public static functions
Container
Attrs Container( StringPiece x )
SharedName
Attrs SharedName( StringPiece x )
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/take-many-sparse-from-tensors-map.html