टेंसरफ़्लो:: ऑप्स:: AddManySparseToTensorsMap

#include <sparse_ops.h>

एक SparseTensorsMap में एक N -minibatch SparseTensor जोड़ें , N हैंडल लौटाएँ।

सारांश

रैंक R के एक SparseTensor तीन टेंसरों द्वारा दर्शाया जाता है: sparse_indices , sparse_values , और sparse_shape , जहां

```sparse_indices.shape[1] == sparse_shape.shape[0] == आर


  

    
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].  
 निर्माता और विध्वंसक
 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)
 
 सार्वजनिक गुण
 operation
 sparse_handles 
 सार्वजनिक समारोह
 node () const
 ::tensorflow::Node *
 operator::tensorflow::Input () const
 operator::tensorflow::Output () const 
सार्वजनिक स्थैतिक कार्य
 Container (StringPiece x)
 SharedName (StringPiece x) 
 संरचनाएँ
 टेंसरफ़्लो:: ऑप्स:: AddManySparseToTensorsMap:: Attrs
 AddManySparseToTensorsMap के लिए वैकल्पिक विशेषता सेटर्स।
 सार्वजनिक गुण 
 संचालन 
Operation operation
 sparse_handles 
::tensorflow::Output sparse_handles
 सार्वजनिक समारोह 
 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
)
 नोड 
::tensorflow::Node * node() const 
 ऑपरेटर::टेन्सरफ़्लो::इनपुट 
 operator::tensorflow::Input() const 
 ऑपरेटर::टेन्सरफ़्लो::आउटपुट 
 operator::tensorflow::Output() const 
 सार्वजनिक स्थैतिक कार्य 
 पात्र 
Attrs Container(
  StringPiece x
)
 साझा नाम 
Attrs SharedName(
  StringPiece x
)