rohith14 opened a new issue #7813: Performance doesn't improve (scalability issue) with # GPUs with running train_imagenet.py URL: https://github.com/apache/incubator-mxnet/issues/7813 While training AlexNet CNN with ImageNet data, i don't see performance improvement (in-fact i see slight performance degradation) with increasing number of GPUs 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 --batch-size 256 --num-epochs 1 --kv-store device Per epoch (and batch-size/GPU : 64), With 1 GPU, Time-cost : 910 sec With 2 GPU, Time-cost : 924 sec With 4 GPU, Time-cost : 964 sec I have 4 Titan Xps However, with synthetic data (as shown in the demo https://github.com/apache/incubator-mxnet/blob/master/example/image-classification/README.md) i see good scalability. ---------------------------------------------------------------- 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: [email protected]
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