[GitHub] Roshrini opened a new issue #7463: [Gluon] Resnet152 batch_size 32

[gi...@git.apache.org]

Roshrini opened a new issue #7463: [Gluon] Resnet152 batch_size 32
URL: https://github.com/apache/incubator-mxnet/issues/7463
 
 
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   ## Environment info
   Operating System: Amazon Linux
   
   Compiler:
   
   Package used (Python/R/Scala/Julia): Python
   
   MXNet version: Master
   
   Or if installed from source:
   
   MXNet commit hash (`git rev-parse HEAD`): 1a617fadc3cf612f964722e09571e1b80ad16f68
   
   If you are using python package, please provide
   
   Python version and distribution: Python 2.7
   
   If you are using R package, please provide
   
   R `sessionInfo()`:
   
   ## Error Message:
   Please paste the full error message, including stack trace.
   
   ## Minimum reproducible example
   if you are using your own code, please provide a short script that reproduces the error.
   
   ## Steps to reproduce
   or if you are running standard examples, please provide the commands you have run that lead to the error.
   
   1. Using resnet152_v1 model  https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/gluon/model_zoo/vision/resnet.py
   2. python image_classification.py --dataset dummy --gpus 8?epochs 10 --benchmark --mode imperative --model resnet152_v1 --log-interval 1
   
   This command uses default batch_size of 32 and the results are not comparable as compared to symbolic approach. 
   
   <img width="981" alt="screen shot 2017-08-14 at 2 32 53 pm" src="https://user-images.githubusercontent.com/8004078/29292823-83010172-80fd-11e7-965a-a3834c27257b.png">
   
   
   
 
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