[GitHub] azai91 opened a new issue #13369: MKLDNN LSTM Regression

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azai91 opened a new issue #13369: MKLDNN LSTM Regression
URL: https://github.com/apache/incubator-mxnet/issues/13369
 
 
   We noticed that after the MKLDNN 0.17 update on 11/7 that our lstm models have lower throughput than before. https://www.dropbox.com/s/ifglj7lqcv4fw1q/Screenshot%202018-11-21%2017.41.30.png?dl=0
   
   For Q & A and discussion, please start a discussion thread at https://discuss.mxnet.io 
   
   ## Description
   (Brief description of the problem in no more than 2 sentences.)
   
   ## Environment info (Required)
   
   ```
   What to do:
   1. Download the diagnosis script from https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py
   2. Run the script using `python diagnose.py` and paste its output here.
   
   ```
   
   Package used (Python/R/Scala/Julia):
   (I'm using ...)
   
   For Scala user, please provide:
   1. Java version: (`java -version`)
   2. Maven version: (`mvn -version`)
   3. Scala runtime if applicable: (`scala -version`)
   
   For R user, please provide R `sessionInfo()`:
   
   ## Build info (Required if built from source)
   
   Compiler (gcc/clang/mingw/visual studio):
   
   MXNet commit hash:
   (Paste the output of `git rev-parse HEAD` here.)
   
   Build config:
   (Paste the content of config.mk, or the build command.)
   
   ## Error Message:
   (Paste the complete error message, including stack trace.)
   
   ## Minimum reproducible example
   (If you are using your own code, please provide a short script that reproduces the error. Otherwise, please provide link to the existing example.)
   
   ## Steps to reproduce
   (Paste the commands you ran that produced the error.)
   
   1. Clone repo at git@github.com:mseth10/deeplearning-benchmark.git
   2. Run the following script `python word_language_model/lstm_bucketing.py --num-hidden 650 --num-embed 650 --gpus 0 --epochs 30 --kv-store local`
   

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