tf.sparse.expand_dims
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TensorFlow 1 version

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Inserts a dimension of 1 into a tensor's shape.

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tf.compat.v1.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.

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Last updated 2020-10-01 UTC.

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tf.sparse.expand_dims
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