#include <sparse_ops.h>
Reshapes a SparseTensor to represent values in a new dense shape.
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
non-empty 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:
N x R_in
matrix with the indices of non-empty values in a SparseTensor.R_in
vector with the input SparseTensor's dense shape.R_out
vector with the requested new dense shape.Returns:
Output
output_indices: 2-D. N x R_out
matrix with the updated indices of non-empty values in the output SparseTensor.Output
output_shape: 1-D. R_out
vector with the full dense shape of the output SparseTensor. This is the same as new_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 |
::tensorflow::Output output_indices
::tensorflow::Output output_shape
SparseReshape( const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_shape, ::tensorflow::Input new_shape )
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/sparse-reshape.html