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embedding_lookup_sparse documentation change.

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Remove "(typically from FeatureValueToId)" from args descriptions.
This appears to have been an obsolete reference from an ancestor
implementation.

PiperOrigin-RevId: 194133212
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A. Unique TensorFlower 2018-04-24 13:08:51 -07:00 committed by TensorFlower Gardener
parent 7afe5df6b1
commit 33ffc8e7ff
1 changed files with 2 additions and 2 deletions
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tensorflow/python/ops/embedding_ops.py
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@ -331,8 +331,8 @@ def embedding_lookup_sparse(params,
representing sharded embedding tensors. Alternatively, a
`PartitionedVariable`, created by partitioning along dimension 0. Each
element must be appropriately sized for the given `partition_strategy`.
sp_ids: N x M `SparseTensor` of int64 ids (typically from FeatureValueToId),
where N is typically batch size and M is arbitrary.
sp_ids: N x M `SparseTensor` of int64 ids where N is typically batch size
and M is arbitrary.
sp_weights: either a `SparseTensor` of float / double weights, or `None` to
indicate all weights should be taken to be 1. If specified, `sp_weights`
must have exactly the same shape and indices as `sp_ids`.