when i ran my lstm code on GPU, the GPU utilization is always a few percent like 2%, but the used  dedicated memory did increase about 1G.
the question is, was i really using my GPU to accelerate my training process?
i used caffe before, caffe will have a high GPU utilization rate. What’s the difference between torch and caffe when using GPU?