тензорный поток:: опс:: AddManySparseToTensorsMap
#include <sparse_ops.h>
Добавьте N
-minibatch SparseTensor
в SparseTensorsMap
и верните N
дескрипторов.
Краткое содержание
SparseTensor
ранга R
представлен тремя тензорами: sparse_indices
, sparse_values
и sparse_shape
, где
```sparse_indices.shape[1] == sparse_shape.shape[0] == R
AnN
-minibatch ofSparseTensor
objects is represented as aSparseTensor
having a firstsparse_indices
column taking values between[0, N)
, where the minibatch sizeN == sparse_shape[0]
.
The inputSparseTensor
must have rankR
greater than 1, and the first dimension is treated as the minibatch dimension. Elements of theSparseTensor
must be sorted in increasing order of this first dimension. The storedSparseTensor
objects pointed to by each row of the outputsparse_handles
will have rankR-1
.
TheSparseTensor
values can then be read out as part of a minibatch by passing the given keys as vector elements toTakeManySparseFromTensorsMap
. To ensure the correctSparseTensorsMap
is accessed, ensure that the samecontainer
andshared_name
are passed to that Op. If noshared_name
is provided here, instead use the name of the Operation created by callingAddManySparseToTensorsMap
as theshared_name
passed toTakeManySparseFromTensorsMap
. Ensure the Operations are colocated.
Arguments: * scope: A Scope object * sparse_indices: 2-D. Theindices
of the minibatchSparseTensor
.sparse_indices[:, 0]
must be ordered values in[0, N)
. * sparse_values: 1-D. Thevalues
of the minibatchSparseTensor
. * sparse_shape: 1-D. Theshape
of the minibatchSparseTensor
. The minibatch sizeN == sparse_shape[0]
.
Optional attributes (seeAttrs
): * container: The container name for theSparseTensorsMap
created by this op. * shared_name: The shared name for theSparseTensorsMap
created by this op. If blank, the new Operation's unique name is used.
Returns: *Output
: 1-D. The handles of theSparseTensor
now stored in theSparseTensorsMap
. Shape:[N]
.
Конструкторы и деструкторы | |
---|---|
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) |
Публичные атрибуты | |
---|---|
operation | |
sparse_handles |
Общественные функции | |
---|---|
node () const | ::tensorflow::Node * |
operator::tensorflow::Input () const | |
operator::tensorflow::Output () const |
Публичные статические функции | |
---|---|
Container (StringPiece x) | |
SharedName (StringPiece x) |
Структуры | |
---|---|
tensorflow:: ops:: AddManySparseToTensorsMap:: Attrs | Необязательные установщики атрибутов для AddManySparseToTensorsMap . |
Публичные атрибуты
операция
Operation operation
sparse_handles
::tensorflow::Output sparse_handles
Общественные функции
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 )
узел
::tensorflow::Node * node() const
оператор::tensorflow::Input
operator::tensorflow::Input() const
оператор::tensorflow::Выход
operator::tensorflow::Output() const
Публичные статические функции
Контейнер
Attrs Container( StringPiece x )
Общее имя
Attrs SharedName( StringPiece x )