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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/03/06 19:44:40 UTC

[GitHub] [incubator-mxnet] ptrendx commented on issue #14047: mxnet.base.MXNetError: Cannot find argument 'cudnn_algo_verbose'

ptrendx commented on issue #14047: mxnet.base.MXNetError: Cannot find argument 'cudnn_algo_verbose'
URL: https://github.com/apache/incubator-mxnet/issues/14047#issuecomment-470248555
 
 
   Oh, sorry, I completely missed that comment.
   
   How do you prepare you training dataset? The way we did it in our submission is shown e.g. here: https://github.com/NVIDIA/DeepLearningExamples/tree/master/MxNet/Classification/RN50v1.5#prepare-dataset
   
   I don't see anything obviously wrong with the options you set. How does it look like when running on single machine (basically halve the lr parameter and run on 4 GPUs)?
   
   About the DALI options - they do not matter for convergence, they are there to avoid memory reallocations during training.

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