joddiy commented on a change in pull request #736:
URL: https://github.com/apache/singa/pull/736#discussion_r440637288



##########
File path: python/singa/autograd.py
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@@ -4698,6 +4698,103 @@ def cossim(a, b):
     return CosSim()(a, b)[0]
 
 
+class Expand(Operator):
+    """
+    Init a expand operator

Review comment:
       I've added an example usage at the comment.
   
   The `expand` duplicates the data along with the axis. It looks like 
`upsample` but still has some differences.
   >
       Example usage::
       data = [[1.], [2.], [3.]]
   
       # dim_changed
       shape = [2, 1, 6]
       output = [[[1., 1., 1., 1., 1., 1.], 
                  [2., 2., 2., 2., 2., 2.],
                  [3., 3., 3., 3., 3., 3.]],
                 [[1., 1., 1., 1., 1., 1.],
                  [2., 2., 2., 2., 2., 2.],
                  [3., 3., 3., 3., 3., 3.]]]
   
       # dim_unchanged
       shape = [3, 4]
       output = [[1., 1., 1., 1.],
                 [2., 2., 2., 2.],
                 [3., 3., 3., 3.]]
   >
   
   For upsample
   >
       Example usage::
       data = [[[[1, 2],
                 [3, 4],]]]
   
       # nearest
       scales = [1.0, 1.0, 2.0, 3.0]
       output = [[[[1, 1, 1, 2, 2, 2],
                   [1, 1, 1, 2, 2, 2],
                   [3, 3, 3, 4, 4, 4],
                   [3, 3, 3, 4, 4, 4],]]]
   >




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