Hello,
When you do torch.reshape() or .view() and, say, you flatten a matrix into an array, is there a guaranteed order the elements will be in?
In numpy you have an order argument that can specify a C/F/A order?
I am looking for something that preserves compatibility with numpy
Thanks in advance