I would like to be able to import cudf and refer to cudf methods and classes on a machine that does not have a GPU.

This is particularly useful when using cudf with Dask. While my local machine may not have an attached GPU, my Dask workers may. When using Dask with cudf I need to be able to refer to cudf functions so that I can place them into a task graph, but don't actually need to run them locally.

This fails today with an import error saying that we can't import libcuda.so.1. Is it feasible to make importing cudf robust to these errors?