aliran tensor:: operasi:: TambahkanManySparseToTensorsMap
#include <sparse_ops.h>
Tambahkan N
-minibatch SparseTensor
ke SparseTensorsMap
, kembalikan N
pegangan.
Ringkasan
SparseTensor
dengan peringkat R
diwakili oleh tiga tensor: sparse_indices
, sparse_values
, dan sparse_shape
, di mana
```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]
.
Konstruktor dan Destruktor | |
---|---|
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) |
Atribut publik | |
---|---|
operation | |
sparse_handles |
Fungsi publik | |
---|---|
node () const | ::tensorflow::Node * |
operator::tensorflow::Input () const | |
operator::tensorflow::Output () const |
Fungsi statis publik | |
---|---|
Container (StringPiece x) | |
SharedName (StringPiece x) |
Struktur | |
---|---|
tensorflow:: ops:: AddManySparseToTensorsMap:: Attrs | Penyetel atribut opsional untuk AddManySparseToTensorsMap . |
Atribut publik
operasi
Operation operation
sparse_handles
::tensorflow::Output sparse_handles
Fungsi publik
TambahkanManySparseToTensorsMap
AddManySparseToTensorsMap( const ::tensorflow::Scope & scope, ::tensorflow::Input sparse_indices, ::tensorflow::Input sparse_values, ::tensorflow::Input sparse_shape )
TambahkanManySparseToTensorsMap
AddManySparseToTensorsMap( const ::tensorflow::Scope & scope, ::tensorflow::Input sparse_indices, ::tensorflow::Input sparse_values, ::tensorflow::Input sparse_shape, const AddManySparseToTensorsMap::Attrs & attrs )
simpul
::tensorflow::Node * node() const
operator::tensorflow::Masukan
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
Fungsi statis publik
Wadah
Attrs Container( StringPiece x )
Nama Bersama
Attrs SharedName( StringPiece x )