I am training a model on my local MacBook. My dataloader looks something like this:
data_train_source = MNISTSourceTrain("path1","path2")
source_train_loader = DataLoader(data_train_source,batch_size=64,shuffle=True,num_workers = 0)
When I set
num_workers=0, the program runs. But, for any value of
num_workers>0, I get the following error:
RuntimeError: An attempt has been made to start a new process before the current process has finished its bootstrapping phase. This probably means that you are not using fork to start your child processes and you have forgotten to use the proper idiom in the main module: if __name__ == '__main__': freeze_support() ... The "freeze_support()" line can be omitted if the program is not going to be frozen to produce an executable.
However when run the program with num_workers=2 or 4 or any other other number greater than 0, on any other OS i.e. Linux Ubuntu it works just fine.
Can someone please elaborate why does this happen? Or any suggestions how do I do something to stop it?