جریان تنسور:: عملیات:: AddManySparseToTensorsMap

#include <sparse_ops.h>

یک N -minibatch SparseTensor به SparseTensorsMap اضافه کنید ، N handle را برگردانید.

خلاصه

SparseTensor رتبه R با سه تانسور نشان داده می شود: sparse_indices ، sparse_values ​​و sparse_shape .

```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].  
 سازندگان و ویرانگرها
 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)
 
 صفات عمومی
 operation
 Operation
 sparse_handles
 :: tensorflow::Output
 
 توابع عمومی
 node () const
 ::tensorflow::Node *
 operator::tensorflow::Input () const
 operator::tensorflow::Output () const
 
توابع استاتیک عمومی
 Container (StringPiece x)
 Attrs
 SharedName (StringPiece x)
 Attrs
 
 سازه ها
 tensorflow:: ops:: AddManySparseToTensorsMap:: Attrs
 تنظیم کننده های ویژگی اختیاری برای AddManySparseToTensorsMap .
 صفات عمومی 
 عملیات 
 
Operation operation
 دسته_های پراکنده 
 
::tensorflow::Output sparse_handles
 توابع عمومی 
 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
)
 گره 
 
::tensorflow::Node * node() const 
 عملگر::tensorflow::ورودی 
 
 operator::tensorflow::Input() const 
 عملگر::tensorflow::خروجی 
 
 operator::tensorflow::Output() const 
 توابع استاتیک عمومی 
 ظرف 
 
Attrs Container(
  StringPiece x
)
 SharedName
 
Attrs SharedName(
  StringPiece x
)