This means spconv 2.x doesn't have pytorch shared library dependency when you use ldd to inspect required shared objects of our shared library.
This doesn't mean spconv 2.x can run in pytorch with any version.
Most of pytorch extension repos use official pytorch extension build system, libraries built from these extension depend on pytorch c++ library and impossible to match requirements of manylinux. The official python package server, PyPI, and its mirrors, only accept manylinux package for linux platforms. So we must remove all pytorch stuffs from our c++ code to create manylinux packages.
Spconv 2.x use two core feature of pytorch to match manylinux requirements: torch.Tensor.data_ptr and torch.cuda.current_stream().cuda_stream. the first one is used to get pointer of torch.Tensor, the second part is used to get cuda stream pointer. We don't need pytorch anymore in c++ code when these features are available in pytorch.