View source on GitHub |
Converts a SparseTensor
into a dense tensor.
tf.sparse.to_dense( sp_input, default_value=None, validate_indices=True, name=None )
This op is a convenience wrapper around sparse_to_dense
for SparseTensor
s.
For example, if sp_input
has shape [3, 5]
and non-empty string values:
[0, 1]: a [0, 3]: b [2, 0]: c
and default_value
is x
, then the output will be a dense [3, 5]
string tensor with values:
[[x a x b x] [x x x x x] [c x x x x]]
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 . |
© 2020 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/versions/r2.3/api_docs/python/tf/sparse/to_dense