[GitHub] wkcn opened a new issue #13928: MXNet 1.5.0 is slower than 1.3.0 when intputs are variant

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

wkcn opened a new issue #13928: MXNet 1.5.0 is slower than 1.3.0 when intputs are variant
URL: https://github.com/apache/incubator-mxnet/issues/13928
 
 
   ## Description
   Hi! I have an experiment about Object Counting, which needs variant inputs.
   I write the code with Gluon, and hybridize the model with `static_alloc=True`
   I found there is obvious difference between MXNet 1.5.0 and MXNet 1.3.0, and I checked it on two servers.
   
   GPU: Tesla M40 x 4
   
   - Performance:
   MXNet 1.5.0: 20 images / sec
   MXNet 1.3.0: 70+ images / sec
   
   ## Environment info (Required)
   OS: ubuntu 14.04
   
   Package used (Python/R/Scala/Julia):
   Python 2.7.12, 3.7.1
   
   MXNet is installed by pip:
   ```
   # MXNet 1.5.0
   pip install mxnet-cu80 --pre
   # MXNet 1.3.0
   pip install mxnet-cu80==1.3.0
   ```
   
   ## Error Message:
   (Paste the complete error message, including stack trace.)
   
   ## Minimum reproducible example
   Faster R-CNN in GluonCV may be a reproducible example, which need variant input.
   [Faster R-CNN in GluonCV](https://github.com/dmlc/gluon-cv/blob/master/scripts/detection/faster_rcnn/train_faster_rcnn.py)
   
   ## Steps to reproduce
   (Paste the commands you ran that produced the error.)
   
   1.
   2.
   
   ## What have you tried to solve it?
   
   1.
   2.
   

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services