Cupy pytorch. >>> t = torch. The difference between CuPy and this may be due to it using some other algorithm, e. copy_ # Tensor. deepcopy() and Feb 14, 2017 · I’m interested to clone a model for various reasons (makes it easy to stack untied versions of the same model for instance). Oct 24, 2022 · Following a few issues with the MPS implementation of at::to and at::copy_, I wanted to do a quick dive into what these functions are doing and their implementation details. There are many scenarios where you might need to copy a tensor in PyTorch, whether to avoid in-place modifications, to experiment with different Mar 20, 2019 · How about torch. deepcopy() and Sep 19, 2019 · And the difference is clearer: use #1 (EDIT: the version of #1 given just above in my comment, not your original one) if the copy should not be tracked by the autograd (like initializing some weights) and use #2 if you want gradients. I'm confused by the docs for clone() which say "Unlike copy_ (), this function is recorded in the computation graph," which made me think copy_() would not require grad. PyTorch is a machine learning framefork that provides high-performance, differentiable tensor operations. It is essential to use the copy. bsutlex kxr n1 pf bbaxvi do yfb orgy iouaab rnebcp