tensorflow::ops::AddManySparseToTensorsMap
tensorflow::ops::AddManySparseToTensorsMap
#include <sparse_ops.h>
Add an N
-minibatch SparseTensor
to a SparseTensorsMap
, return N
handles.
Summary
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 minibatchSparseTensor
.sparse_indices[:, 0]
must be ordered values in[0, N)
. - sparse_values: 1-D. The
values
of the minibatchSparseTensor
. - sparse_shape: 1-D. The
shape
of the minibatchSparseTensor
. The minibatch sizeN == 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:
Constructors and Destructors | |
---|---|
AddManySparseToTensorsMap(const ::tensorflow::Scope & scope, ::tensorflow::Input sparse_indices, ::tensorflow::Input sparse_values, ::tensorflow::Input sparse_shape) | |
AddManySparseToTensorsMap(const ::tensorflow::Scope & scope, ::tensorflow::Input sparse_indices, ::tensorflow::Input sparse_values, ::tensorflow::Input sparse_shape, const AddManySparseToTensorsMap::Attrs & attrs) |
Public attributes | |
---|---|
sparse_handles |
Public functions | |
---|---|
node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
Public static functions | |
---|---|
Container(StringPiece x) | |
SharedName(StringPiece x) |
Structs | |
---|---|
tensorflow::ops::AddManySparseToTensorsMap::Attrs | Optional attribute setters for AddManySparseToTensorsMap. |
Public attributes
sparse_handles
::tensorflow::Output sparse_handles
Public functions
AddManySparseToTensorsMap
AddManySparseToTensorsMap( const ::tensorflow::Scope & scope, ::tensorflow::Input sparse_indices, ::tensorflow::Input sparse_values, ::tensorflow::Input sparse_shape )
AddManySparseToTensorsMap
AddManySparseToTensorsMap( const ::tensorflow::Scope & scope, ::tensorflow::Input sparse_indices, ::tensorflow::Input sparse_values, ::tensorflow::Input sparse_shape, const AddManySparseToTensorsMap::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
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/add-many-sparse-to-tensors-map.html