텐서플로우:: 작전:: AddManySparseToTensorsMap

#include <sparse_ops.h>

N -minibatch SparseTensor SparseTensorsMap 에 추가하고 N 개의 핸들을 반환합니다.

요약

R 등급의 SparseTensor sparse_indices , sparse_values , sparse_shape 라는 3개의 텐서로 표현됩니다.

``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].  
 생성자와 소멸자
 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)
 
 공개 속성
 operation
 sparse_handles 
 공공 기능
 node () const
 ::tensorflow::Node *
 operator::tensorflow::Input () const
 operator::tensorflow::Output () const 
공개 정적 함수
 Container (StringPiece x)
 SharedName (StringPiece x) 
 구조체
 tensorflow:: ops:: AddManySparseToTensorsMap:: Attrs
 AddManySparseToTensorsMap 에 대한 선택적 속성 설정자입니다.
 공개 속성 
 작업 
Operation operation
 sparse_handles 
::tensorflow::Output sparse_handles
 공공 기능 
 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
)
 마디 
::tensorflow::Node * node() const 
 연산자::텐서플로우::입력 
 operator::tensorflow::Input() const 
 연산자::텐서플로우::출력 
 operator::tensorflow::Output() const 
 공개 정적 함수 
 컨테이너 
Attrs Container(
  StringPiece x
)
 공유 이름 
Attrs SharedName(
  StringPiece x
)