tf.sparse.to_dense

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Converts a SparseTensor into a dense tensor.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.sparse.to_dense, tf.compat.v1.sparse_tensor_to_dense

tf.sparse.to_dense(
    sp_input, default_value=None, validate_indices=True, name=None
)

For this sparse tensor with three non-empty values:

sp_input = tf.SparseTensor(
  dense_shape=[3, 5],
  values=[7, 8, 9],
  indices =[[0, 1],
            [0, 3],
            [2, 0]])

The output will be a dense [3, 5] tensor with values:

tf.sparse.to_dense(sp_input).numpy()
array([[0, 7, 0, 8, 0],
       [0, 0, 0, 0, 0],
       [9, 0, 0, 0, 0]], dtype=int32)

Note: Indices must be without repeats. This is only tested if validate_indices is True.

Args
sp_input	The input SparseTensor.
default_value	Scalar value to set for indices not specified in sp_input. 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 prefix for the returned tensors (optional).

Returns
A dense tensor with shape sp_input.dense_shape and values specified by the non-empty values in sp_input. Indices not in sp_input are assigned default_value.

Raises
TypeError	If sp_input is not a SparseTensor.