[GitHub] MyYaYa commented on issue #13001: Feature request: numpy.cumsum

[GitBox <gi...@apache.org>]

MyYaYa commented on issue #13001: Feature request: numpy.cumsum
URL: https://github.com/apache/incubator-mxnet/issues/13001#issuecomment-451343665
 
 
   > I find a elegant method to implement cumsum. Hope this will be useful.
   > 
   > ```
   > step = lambda data, state : (data + state[0], state[0] + data)
   > data = mx.nd.ones((10, 10))
   > state = mx.nd.zeros(10)
   > outs, state = mx.nd.contrib.foreach(step, data, state)
   > ```
   
   Now, I find this solution is so slow, especially when the size of array is big. So this solution has become a main cost of time in my program. Is there any efficient solution of 'cumsum' using mxnet's ndarray?

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