[GitHub] [incubator-mxnet] leezu opened a new issue #15703: Storage manager / memory usage regression in v1.5

[GitBox <gi...@apache.org>]

leezu opened a new issue #15703: Storage manager / memory usage regression in v1.5
URL: https://github.com/apache/incubator-mxnet/issues/15703
 
 
   ## Description
   https://github.com/dmlc/gluon-nlp/blob/v0.7.1/scripts/word_embeddings/evaluate_pretrained.py stopped working with MXNet v1.5 due to out of memory errors. While the script runs fine on 16GB GPU memory (p3.2xlarge) with MXNet v1.4 it runs out of GPU memory even with 32GPU memory (p3
   
   ## 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.
   2.
   
   ## What have you tried to solve it?
   
   1.
   2.
   

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