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     new 4be7be7  Update row_sparse.md (#10454)
4be7be7 is described below

commit 4be7be76f6f5fa1fcc5708b8b2d4d7eadaf2a1c1
Author: Haibin Lin <linhaibin.e...@gmail.com>
AuthorDate: Sat Apr 7 14:49:06 2018 -0700

    Update row_sparse.md (#10454)
---
 docs/tutorials/sparse/row_sparse.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/tutorials/sparse/row_sparse.md 
b/docs/tutorials/sparse/row_sparse.md
index 65b7d05..ffc683f 100644
--- a/docs/tutorials/sparse/row_sparse.md
+++ b/docs/tutorials/sparse/row_sparse.md
@@ -89,18 +89,18 @@ tutorial) to `mx.cpu()`
 
 ## Row Sparse Format
 
-A RowSparseNDArray represents a multidimensional NDArray using two separate 1D 
arrays:
+A RowSparseNDArray represents a multidimensional NDArray of shape `[LARGE0, 
D1, .. , Dn]` using two separate 1D arrays:
 `data` and `indices`.
 
 - data: an NDArray of any dtype with shape `[D0, D1, ..., Dn]`.
 - indices: a 1D int64 NDArray with shape `[D0]` with values sorted in 
ascending order.
 
-The ``indices`` array stores the indices of the row slices with non-zeros,
+The ``indices`` array stores the indices of the row slices with **non-zeros**,
 while the values are stored in ``data`` array. The corresponding NDArray 
`dense` represented by RowSparseNDArray `rsp` has
 
 ``dense[rsp.indices[i], :, :, :, ...] = rsp.data[i, :, :, :, ...]``
 
-A RowSparseNDArray is typically used to represent non-zero row slices of a 
large NDArray of shape [LARGE0, D1, .. , Dn] where LARGE0 >> D0 and most row 
slices are zeros.
+A RowSparseNDArray is typically used to represent non-zero row slices of a 
large NDArray of shape `[LARGE0, D1, .. , Dn]` where LARGE0 >> D0 and most row 
slices are zeros.
 
 Given this two-dimension matrix:
 

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