rewards = rollout.get_reward(samples, 16, discriminator) rewards = Variable(torch.Tensor(rewards)) if args.cuda: rewards = torch.exp(rewards.cuda()).contiguous().view((-1,))
This is around lines 214-218, though maybe slightly different for you since I have edited the code.
I'm pretty sure that the reshaping of the rewards variable needs to happen regardless of whether or not cuda is being used.
rewards = rollout.get_reward(samples, 16, discriminator) rewards = Variable(torch.Tensor(rewards)) if args.cuda: rewards = torch.exp(rewards.cuda()).contiguous().view((-1,))This is around lines 214-218, though maybe slightly different for you since I have edited the code. I'm pretty sure that the reshaping of the rewards variable needs to happen regardless of whether or not cuda is being used.