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tensorflow::ops::AddManySparseToTensorsMap

#include <sparse_ops.h>

Add a N-минимальную SparseTensor в SparseTensorsMap, вернуть N дескрипторы.

Краткое описание

Матрица SparseTensor ранга R представляется тремя тензорами: sparse_indices, sparse_values, и sparse_shape, где

```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].  

  
  
Конструкторы и деструкторы
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)
Общедоступные атрибуты
operation
Operation
sparse_handles
::tensorflow::Output
Общедоступные функции
node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const
Общедоступные статические функции
Container(StringPiece x)
Attrs
SharedName(StringPiece x)
Attrs
Структуры
tensorflow::ops::AddManySparseToTensorsMap::Attrs

Дополнительные атрибуты для AddManySparseToTensorsMap.

Общедоступные атрибуты

operation

Operation operation

sparse_handles

::tensorflow::Output sparse_handles

Общедоступные функции

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
)

узел

::tensorflow::Node * node() const 

оператор::tensorflow::Input

operator::tensorflow::Input() const 

оператор::tensorflow::Output

operator::tensorflow::Output() const 

Общедоступные статические функции

Контейнер

Attrs Container(
  StringPiece x
)

Имя общего использования

Attrs SharedName(
  StringPiece x
)

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/cc/class/tensorflow/ops/add-many-sparse-to-tensors-map

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