Hello, I am working on the DSQN project, but I can't finish the training, because the RAM is gradually filling up (within a few thousand frames after the training has started). Could this be a bug in the code/compatibility issue or do I just need more memory (I have 32GB)?
Thanks in advance!
# Lines of code where memory is filled
loss_v = common.calc_loss_dqn(batch, net, tgt_net.target_model, gamma=params['gamma'], cuda=args.cuda, cuda_async=True)
loss_v.backward()
For faster response
| Reinforcement Learning | lucifer2859
Issue type
SpikingJelly version
masterDescription
Hello, I am working on the DSQN project, but I can't finish the training, because the RAM is gradually filling up (within a few thousand frames after the training has started). Could this be a bug in the code/compatibility issue or do I just need more memory (I have 32GB)?
Thanks in advance!