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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2017/11/05 02:28:26 UTC

[GitHub] ironfrown commented on issue #8303: topk/mshadow::range returns wrong result

ironfrown commented on issue #8303: topk/mshadow::range returns wrong result
URL: https://github.com/apache/incubator-mxnet/issues/8303#issuecomment-341944468
 
 
   I have installed mxnet 0.12.0 on Ubuntu 16.04 LTS. I have tested with the included MNIST example. It works well with Python and returns correct results. However, in R 3.4.2 (both CRAN and MRAN) it produces either NAs or random (i.e. it is not learning) results, e.g. [10] Train-accuracy=0.112346420940171, [10] Validation-accuracy=0.113581730769231. Any suggestions?

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