anirudhacharya commented on a change in pull request #11229: [MXNET-379] L1
Normalization
URL: https://github.com/apache/incubator-mxnet/pull/11229#discussion_r199026763
##########
File path: src/operator/tensor/broadcast_reduce_op_value.cc
##########
@@ -284,10 +284,16 @@ array.
Examples::
- x = [[1, 2],
- [3, 4]]
+ x = [[[1,2],
+ [3,4]],
+ [[2,2],
+ [5,6]]]
- norm(x) = [5.47722578]
+ norm(x, ord=2, axis=1) = [[3.1622777 4.472136 ]
+ [5.3851647 6.3245554]]
+
+ norm(x, ord=1, axis=1) = [[4., 6.],
+ [7., 8.]]
rsp = x.cast_storage('row_sparse')
Review comment:
I do not understand what you mean by "specification for sparse-related
cases" could you please elaborate?
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