I am working with the example/gluon/image_classification.py script in the apache incubator mxnet github and was tinkering with the script. I have observed that when I run the following command :
python image_classification.py --model resnet50_v1 --dataset dummy --epochs 1 --log-interval 1 --batch-size 64 --gpu 0
I get a img/sec value of 323.0 img/sec on a Tesla V100 gpu
The same command if I run with the metrics computations turned off ( lines 212,229) I get about 1400 img/sec.
Why am I seeing this speed up ? Why does turning off the metric computations result in such a massive increase in img/sec
miniconda environment with mxnet-cu101 , cuda/10.1 , cudnn/7.4, python 2.7.15
mxnet was pip installed
Tests run on a Tesla V100 gpu