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Update row_sparse tutorial #13414

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Update row_sparse tutorial #13414

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2 changes: 1 addition & 1 deletion docs/tutorials/sparse/row_sparse.md
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Expand Up @@ -459,7 +459,7 @@ Note that warning messages will be printed when such a storage fallback event ha

## Sparse Optimizers

In MXNet, sparse gradient updates are applied when weight, state and gradient are all in `row_sparse` storage.
In MXNet, sparse gradient updates are applied when gradient is in `row_sparse` storage and the optimizer is created with `lazy_update=True`.
The sparse optimizers only update the row slices of the weight and the states whose indices appear
in `gradient.indices`. For example, the default update rule for SGD optimizer is:

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