| View source on GitHub |
Inserts a dimension of 1 into a tensor's shape.
tf.sparse.expand_dims(
sp_input, axis=None, name=None
)
Given a tensor sp_input, this operation inserts a dimension of 1 at the dimension index axis of sp_input's shape. The dimension index axis starts at zero; if you specify a negative number for axis it is counted backwards from the end.
| Args | |
|---|---|
sp_input | A SparseTensor. |
axis | 0-D (scalar). Specifies the dimension index at which to expand the shape of input. Must be in the range [-rank(sp_input) - 1, rank(sp_input)]. |
name | The name of the output SparseTensor. |
| Returns | |
|---|---|
A SparseTensor with the same data as sp_input, but its shape has an additional dimension of size 1 added. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/sparse/expand_dims