tensor akışı:: işlem:: AddManySparseToTensorsMap

#include <sparse_ops.h>

Bir SparseTensorsMap bir N -minibatch SparseTensor ekleyin , N tutamaçlarını döndürün.

Özet

Derecesi R olan bir SparseTensor , üç tensörle temsil edilir: sparse_indices , sparse_values ​​ve sparse_shape ; burada

```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 minibatch SparseTensor.
sparse_indices[:, 0] must be ordered values in [0, N).
* sparse_values: 1-D.  The values of the minibatch SparseTensor.
* sparse_shape: 1-D.  The shape of the minibatch SparseTensor.
The minibatch size N == 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:
* Output: 1-D.  The handles of the SparseTensor now stored in the
SparseTensorsMap.  Shape: [N].  

 Yapıcılar ve Yıkıcılar
 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)
 
 Genel özellikler
 operation
 sparse_handles 
 Kamu işlevleri
 node () const
 ::tensorflow::Node *
 operator::tensorflow::Input () const
 operator::tensorflow::Output () const 
Genel statik işlevler
 Container (StringPiece x)
 SharedName (StringPiece x) 
 Yapılar
 tensorflow:: ops:: AddManySparseToTensorsMap:: Öznitelikler
 AddManySparseToTensorsMap için isteğe bağlı öznitelik ayarlayıcılar.
 Genel özellikler 
 operasyon 
 
Operation operation
 sparse_handles 
 
::tensorflow::Output sparse_handles
 Kamu işlevleri 
 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
)
 düğüm 
 
::tensorflow::Node * node() const 
 operatör::tensorflow::Giriş 
 
 operator::tensorflow::Input() const 
 operatör::tensorflow::Çıktı 
 
 operator::tensorflow::Output() const 
 Genel statik işlevler 
 Konteyner 
 
Attrs Container(
  StringPiece x
)
 Paylaşılan Ad
 
Attrs SharedName(
  StringPiece x
)