When defining a Problem, if the user specifies device="cuda", num_actors=2 (as an example), but does not specify num_gpus_per_actor, the following error results from each actor which is not fully clear on what's wrong:
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.
Such a misconfig should be detected and a more helpful message should be given instead.
When defining a
Problem, if the user specifiesdevice="cuda", num_actors=2(as an example), but does not specifynum_gpus_per_actor, the following error results from each actor which is not fully clear on what's wrong:Such a misconfig should be detected and a more helpful message should be given instead.