tensorflow::ops::SparseFillEmptyRows

#include <sparse_ops.h>

Fills empty rows in the input 2-D SparseTensor with a default value.

Summary

The input SparseTensor is represented via the tuple of inputs (indices, values, dense_shape). The output SparseTensor has the same dense_shape but with indices output_indices and values output_values.

This op inserts a single entry for every row that doesn't have any values. The index is created as [row, 0, ..., 0] and the inserted value is default_value.

For example, suppose sp_input has shape [5, 6] and non-empty values:

[0, 1]: a
[0, 3]: b
[2, 0]: c
[3, 1]: d

Rows 1 and 4 are empty, so the output will be of shape [5, 6] with values:

[0, 1]: a
[0, 3]: b
[1, 0]: default_value
[2, 0]: c
[3, 1]: d
[4, 0]: default_value

The output SparseTensor will be in row-major order and will have the same shape as the input.

This op also returns an indicator vector shaped [dense_shape[0]] such that

empty_row_indicator[i] = True iff row i was an empty row.

And a reverse index map vector shaped [indices.shape[0]] that is used during backpropagation,

reverse_index_map[j] = out_j s.t. indices[j, :] == output_indices[out_j, :]

Arguments:

• scope: A Scope object
• indices: 2-D. the indices of the sparse tensor.
• values: 1-D. the values of the sparse tensor.
• dense_shape: 1-D. the shape of the sparse tensor.
• default_value: 0-D. default value to insert into location [row, 0, ..., 0] for rows missing from the input sparse tensor. output indices: 2-D. the indices of the filled sparse tensor.

Returns:

• Output output_indices
• Output output_values: 1-D. the values of the filled sparse tensor.
• Output empty_row_indicator: 1-D. whether the dense row was missing in the input sparse tensor.
• Output reverse_index_map: 1-D. a map from the input indices to the output indices.

Public attributes

::tensorflow::Output empty_row_indicator

::tensorflow::Output output_indices

::tensorflow::Output output_values

::tensorflow::Output reverse_index_map

Public functions

 SparseFillEmptyRows(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input indices,
  ::tensorflow::Input values,
  ::tensorflow::Input dense_shape,
  ::tensorflow::Input default_value
)