hi,
so i saw some posts about difference between setting torch.cuda.FloatTensor and settint tensor.to(device=‘cuda’)
i’m still a bit confused. are they completely interchangeable commands?
is there a difference between performing a computation on gpu and moving a tensor to gpu memory?
i mean, is there a case where i want to utilize the gpu for speed but still memorize the tensor on cpu?
maybe someone can point me in the right direction