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


  

    
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].  

 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
)