Alex
Alex
Hi. There is one output in the decoder class: `print("Working with z of shape {} = {} dimensions.".format(self.z_shape, np.prod(self.z_shape)))` Here the letter z seems to represent the latent vector by...
I ran the example program and got the following error. ``` import torch from long_net.model import LongNetTransformer longnet = LongNetTransformer( num_tokens=20000, dim=512, depth=6, dim_head=64, heads=8, ff_mult=4, ).to("cuda:0") tokens = torch.randint(0,...
Thanks for your splendid work. It would be nice if you could tell me how to add a torch-like definition in which one of your code files. And it would...