# tf.compat.v1.sparse_to_dense

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/ops/sparse_ops.py#L1176-L1233) |

Converts a sparse representation into a dense tensor. (deprecated)

    tf.compat.v1.sparse_to_dense(
        sparse_indices,
        output_shape,
        sparse_values,
        default_value=0,
        validate_indices=True,
        name=None
    )

> [!WARNING]
> **Deprecated:** THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Create a [`tf.sparse.SparseTensor`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/sparse/SparseTensor) and use [`tf.sparse.to_dense`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/sparse/to_dense) instead.

Builds an array `dense` with shape `output_shape` such that

    # If sparse_indices is scalar
    dense[i] = (i == sparse_indices ? sparse_values : default_value)

    # If sparse_indices is a vector, then for each i
    dense[sparse_indices[i]] = sparse_values[i]

    # If sparse_indices is an n by d matrix, then for each i in [0, n)
    dense[sparse_indices[i][0], ..., sparse_indices[i][d-1]] = sparse_values[i]

All other values in `dense` are set to `default_value`. If `sparse_values`
is a scalar, all sparse indices are set to this single value.

Indices should be sorted in lexicographic order, and indices must not
contain any repeats. If `validate_indices` is True, these properties
are checked during execution.

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| ## Args ||
|---|---|
| `sparse_indices` | A 0-D, 1-D, or 2-D `Tensor` of type `int32` or `int64`. `sparse_indices[i]` contains the complete index where `sparse_values[i]` will be placed. |
| `output_shape` | A 1-D `Tensor` of the same type as `sparse_indices`. Shape of the dense output tensor. |
| `sparse_values` | A 0-D or 1-D `Tensor`. Values corresponding to each row of `sparse_indices`, or a scalar value to be used for all sparse indices. |
| `default_value` | A 0-D `Tensor` of the same type as `sparse_values`. Value to set for indices not specified in `sparse_indices`. Defaults to zero. |
| `validate_indices` | A boolean value. If True, indices are checked to make sure they are sorted in lexicographic order and that there are no repeats. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
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| Dense `Tensor` of shape `output_shape`. Has the same type as `sparse_values`. ||

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