ptrblck:

It might be bin enough.
Which errors are you seeing that you assume your shared memory is not large enough?


@ptrblck  am still facing this error of shared memory is not large enough. I face this issue when I use large models. For example, If I use four resnet50 as a sub-models in a single large model, then I face this issue. However, if I change the four resnet50 to four resnet18 in that same single large model, then I didn’t face this shared memory issue. Is there any way I can increase the shared memory in PyTorch? or do I need to modify the UNIX system? Thanks in advance.