# tf.raw_ops.SparseFillEmptyRows

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

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.SparseFillEmptyRows`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/SparseFillEmptyRows)

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    tf.raw_ops.SparseFillEmptyRows(
        indices, values, dense_shape, default_value, name=None
    )

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, :]

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| ## Args ||
|---|---|
| `indices` | A `Tensor` of type `int64`. 2-D. the indices of the sparse tensor. |
| `values` | A `Tensor`. 1-D. the values of the sparse tensor. |
| `dense_shape` | A `Tensor` of type `int64`. 1-D. the shape of the sparse tensor. |
| `default_value` | A `Tensor`. Must have the same type as `values`. 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. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A tuple of `Tensor` objects (output_indices, output_values, empty_row_indicator, reverse_index_map). ||
| `output_indices` | A `Tensor` of type `int64`. |
| `output_values` | A `Tensor`. Has the same type as `values`. |
| `empty_row_indicator` | A `Tensor` of type `bool`. |
| `reverse_index_map` | A `Tensor` of type `int64`. |

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