I was training a model on two 11G memory GPUs, and the memory consumption is about 10.3 G per GPU observed by nvidia-smi. After I upgrade PyTorch to 1.7, this project could not be run any more and encountered CUDA out of memory. So does PyTorch1.7 need more memory? Besides, my CUDA version is 10.2.