TensorFlow 2 version
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Inserts a dimension of 1 into a tensor's shape.
View aliases
Compat aliases for migration
See Migration guide for more details.
tf.compat.v1.sparse.expand_dims, `tf.compat.v2.sparse.expand_dims`
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.
|