[GitHub] rohith14 commented on issue #7813: Performance doesn't improve (scalability issue) with # GPUs with running train_imagenet.py

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

rohith14 commented on issue #7813: Performance doesn't improve (scalability issue) with # GPUs with running train_imagenet.py
URL: https://github.com/apache/incubator-mxnet/issues/7813#issuecomment-328643238
 
 
   Thank you, ptrendx.  That helps, but with 4 GPUs there isn't any performance gain
   
   
   % i limited the augmentations by setting 'data.set_data_aug_level(parser, 0)'
   %set data_threads to 8 (I have 8 physical cores)
   python train_imagenet.py --data-train /local/ImageNet/MXNet_data/MXNet_data.rec --data-val /local/ImageNet/MXNet_data/MXNet_data_test.rec --gpus 0,1,2,3 --network alexnet --data-nthreads 8 --batch-size 1024 --num-epochs 1 --kv-store device
   
   With 1 GPU, Time-cost : 680 sec
   With 2 GPU, Time-cost : 373 sec
   With 4 GPU, Time-cost : 378 sec
   
   So, 
 
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