Odpowiedz już dziś na lokalne wydarzenie TensorFlow Everywhere!
Ta strona została przetłumaczona przez Cloud Translation API.
Switch to English

tensorflow :: ops :: AddManySparseToTensorsMap

#include <sparse_ops.h>

Dodaj N -minibatch SparseTensor do SparseTensorsMap , zwróć N uchwytów.

Podsumowanie

SparseTensor stopnia R jest reprezentowany przez trzy tensory: sparse_indices , sparse_values i sparse_shape , gdzie

`` `` 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].  

Konstruktorzy i niszczyciele

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)

Atrybuty publiczne

operation
sparse_handles

Funkcje publiczne

node () const
::tensorflow::Node *
operator::tensorflow::Input () const
operator::tensorflow::Output () const

Publiczne funkcje statyczne

Container (StringPiece x)
SharedName (StringPiece x)

Struktury

tensorflow :: ops :: AddManySparseToTensorsMap :: Attrs

Opcjonalne metody ustawiające atrybuty dla AddManySparseToTensorsMap .

Atrybuty publiczne

operacja

Operation operation

sparse_handles

::tensorflow::Output sparse_handles

Funkcje publiczne

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
)

węzeł

::tensorflow::Node * node() const 

operator :: tensorflow :: Input

 operator::tensorflow::Input() const 

operator :: tensorflow :: Output

 operator::tensorflow::Output() const 

Publiczne funkcje statyczne

Pojemnik

Attrs Container(
  StringPiece x
)

SharedName

Attrs SharedName(
  StringPiece x
)