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From GitBox <...@apache.org>
Subject [GitHub] Caenorst opened a new issue #9874: ResNet-50 is slower on Volta since #8302
Date Thu, 01 Jan 1970 00:00:00 GMT
Caenorst opened a new issue #9874: ResNet-50 is slower on Volta since #8302 
URL: https://github.com/apache/incubator-mxnet/issues/9874
 
 
   ## Description
   I ran the Minimum reproducible example with the setup below at two different version (before
and after #8302): 
   Here are the results:
   d03182f4fc084741ea185aac2eb02d0e7b4151f9 (before #8302):
       - real data: 5644 samples / s
       - synthetic data: 5971 samples / s
   c3e3a832bfeceff070ba263aa8a4489ca27f452e (after #8302):
       - real data: 5461 samples / s
       - synthetic data: 5740 samples / s
   Latest:
       - real data: 5425 samples / s
       - synthetic data: 5817 samples / s
   
   @ptrendx @DickJC123 @mkolod 
   
   
   ## Environment info (Required)
   CPUs: Intel Xeon E5-2698 v4 (x2)
   GPUs: Nvidia V100 (x8)
   
   
   ## Build info (Required if built from source)
   From the default config.mk (in make/config.mk) added:
   ```USE_CUDA=1
   USE_CUDNN=1
   CUDA_ARCH := -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode
arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_70,code=compute_70
   USE_CUDA_PATH=/usr/local/cuda
   USE_LIBJPEG_TURBO=1
   USE_LIBJPEG_TURBO_PATH=/usr
   USE_NCCL=1```
   
   
   ## Minimum reproducible example
   python /mxnet/example/image-classification/train_imagenet.py --benchmark 0 --gpu 0,1,2,3,4,5,6,7
--batch-size 1024 --num-epochs 1 --data-train /data/imagenet/train-480-val-256-recordio/train.rec
--data-train-idx /data/imagenet/train-480-val-256-recordio/train.idx --data-val /data/imagenet/train-480-val-256-recordio/val.rec
--disp-batches 100 --network resnet-v1 --num-layers 50 --data-nthreads 40 --min-random-scale
0.533 --max-random-shear-ratio 0 --max-random-rotate-angle 0 --max-random-h 0 --max-random-l
0 --max-random-s 0 --dtype float16 --kv-store device
   
   

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