Thank for the reply and the clarification, Haibin. On Tue, Jul 24, 2018 at 2:31 PM Haibin Lin <[email protected]> wrote:
> Hi Anirudh, > > Thanks for asking this on dev@. I looked at the doc for sample_uniform and > random_uniform, and found that the API is different. For sample_uniform, > the type of arguments `low` and `high` is NDArray, while that of > random_uniform's is float. I don't think they're going to be deprecated. > > The recommended API to generate a random number is via the ndarray.random.* > or symbol.random.*, which accept both float and NDArray, and under the hood > invoke either sample_xxx or random_xxx correspondingly. > > Best, > Haibin > > On Mon, Jul 23, 2018 at 1:42 PM, Anirudh Acharya <[email protected]> > wrote: > > > Hi All, > > > > I had earlier filed an issue with functionality-duplication/code-refactor > > here - https://github.com/apache/incubator-mxnet/issues/11811 > > > > As per the suggestion in the github issue I would like to bring it to the > > attention of the wider community - > > > > The operators defined in sample_op.cc and multisample_op.cc are seemingly > > performing the same tasks. Both these files define the following > operators > > respectively > > > > sample_op.cc > > ----------- > > random_uniform > > random_normal > > random_gamma > > random_exponential > > random_poisson > > random_negative_binomial > > random_generalized_negative_binomial > > > > multisample_op.cc > > ---------- > > sample_uniform > > sample_normal > > sample_gamma > > sample_exponential > > sample_poisson > > sample_negative_binomial > > sample_generalized_negative_binomial > > > > The only difference that I can glean from the documentation is that > > operators in multisample_op.ccperforms concurrent sampling from multiple > > distributions, but the behavior of the operators is not different. > > > > Is sample_op.cc being retained for legacy reasons or backward > > compatibility? Can it be deprecated or EOLed? Correct me if I am wrong > > here. > > > > > > Thanks > > > > Anirudh > > >
