mseth10 edited a comment on issue #14105: nd.slice errors out when end=-1 and step=-1 URL: https://github.com/apache/incubator-mxnet/issues/14105#issuecomment-473018735 According to numpy, -1 corresponds to last element of array. To include element 0, slice down to None, or just omit that bound. ```python >>> data = np.random.uniform(size=(4,)) >>> data array([0.39041899, 0.65619514, 0.79147856, 0.71647746]) >>> data[2:None:-1] array([0.79147856, 0.65619514, 0.39041899]) >>> data[2::-1] array([0.79147856, 0.65619514, 0.39041899]) ```
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