I’m running experiments using OpenNMT with tensorflow. I’m running it in a server with 2 GPU’s with the
--num_gpus 1 option (because other people need to use the machine too). The process is consuming the memory of both GPU’s, though. Is there any configuration that I can use to limit the amount of memory that the process consume?