eric-haibin-lin closed pull request #13414: Update row_sparse tutorial
URL: https://github.com/apache/incubator-mxnet/pull/13414
 
 
   

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diff --git a/docs/tutorials/sparse/row_sparse.md 
b/docs/tutorials/sparse/row_sparse.md
index 27cc0d3d903..46a5edad075 100644
--- a/docs/tutorials/sparse/row_sparse.md
+++ b/docs/tutorials/sparse/row_sparse.md
@@ -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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