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 [email protected]: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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