tensorflow::ops::SparseReshape
#include <sparse_ops.h>
Reshapes a SparseTensor to represent values in a new dense shape.
Summary
This operation has the same semantics as reshape on the represented dense tensor. The input_indices
are recomputed based on the requested new_shape
.
If one component of new_shape
is the special value 1, the size of that dimension is computed so that the total dense size remains constant. At most one component of new_shape
can be 1. The number of dense elements implied by new_shape
must be the same as the number of dense elements originally implied by input_shape
.
Reshaping does not affect the order of values in the SparseTensor.
If the input tensor has rank R_in
and N
nonempty values, and new_shape
has length R_out
, then input_indices
has shape [N, R_in]
, input_shape
has length R_in
, output_indices
has shape [N, R_out]
, and output_shape
has length R_out
.
Arguments:
 scope: A Scope object
 input_indices: 2D.
N x R_in
matrix with the indices of nonempty values in a SparseTensor.  input_shape: 1D.
R_in
vector with the input SparseTensor's dense shape.  new_shape: 1D.
R_out
vector with the requested new dense shape.
Returns:
Output
output_indices: 2D.N x R_out
matrix with the updated indices of nonempty values in the output SparseTensor.Output
output_shape: 1D.R_out
vector with the full dense shape of the output SparseTensor. This is the same asnew_shape
but with any 1 dimensions filled in.
Constructors and Destructors 


SparseReshape(const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_shape, ::tensorflow::Input new_shape)

Public attributes 


output_indices


output_shape

Public attributes
output_indices
::tensorflow::Output output_indices
output_shape
::tensorflow::Output output_shape
Public functions
SparseReshape
SparseReshape( const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_shape, ::tensorflow::Input new_shape )