tensorflow:: אופס:: AddManySparseToTensorsMap

הוסף N -minibatch SparseTensor ל- SparseTensorsMap , החזר N ידיות.

סיכום

SparseTensor בדרגה R מיוצג על ידי שלושה טנסורים: sparse_indices , sparse_values ​​ו- sparse_shape , כאשר

```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].  
 
 בנאים והורסים
 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)
 
 תכונות ציבוריות
 operation
 Operation
 sparse_handles
 :: tensorflow::Output
 
 תפקידים ציבוריים
 node () const
 ::tensorflow::Node *
 operator::tensorflow::Input () const
 operator::tensorflow::Output () const
 
פונקציות סטטיות ציבוריות
 Container (StringPiece x)
 Attrs
 SharedName (StringPiece x)
 Attrs
 
 מבנים
 tensorflow:: ops:: AddManySparseToTensorsMap:: Attrs
 קובעי תכונות אופציונליים עבור AddManySparseToTensorsMap .
 תכונות ציבוריות 
 מבצע
 
Operation operation
 
 ידיות_דלילות
 
::tensorflow::Output sparse_handles
 תפקידים ציבוריים 
 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
)
 
 צוֹמֶת
 
::tensorflow::Node * node() const 
 
 מפעיל::tensorflow::קלט
 
 operator::tensorflow::Input() const 
 
 אופרטור::tensorflow::פלט
 
 operator::tensorflow::Output() const 
 פונקציות סטטיות ציבוריות 
 מְכוֹלָה
 
Attrs Container(
  StringPiece x
)
 
 שם משותף
 
Attrs SharedName(
  StringPiece x
)