# Roll the gating indexes
warnings.warn("rotating barrel", RuntimeWarning)
- n_barrel = torch.arange(N, device=G.device)[:, None, None, None]
- h_barrel = torch.arange(H, device=G.device)[None, :, None, None]
+
r_barrel = torch.arange(R, device=G.device)[None, None, :, None]
t_barrel = torch.arange(t1 - t0, device=G.device)[None, None, None, :]
- r_barrel = (r_barrel + t_barrel + t0) % R
-
- # print(f"({N}, {H}, {R}, {t1-t0}) {G.size()=}")
-
- G = G[n_barrel, h_barrel, r_barrel, t_barrel]
-
- # print(G.sum())
+ r_barrel = (r_barrel + (t_barrel + t0) // L) % R
+ G = G.gather(dim=2, index=r_barrel.expand_as(G))
######################################################################
# The "flashbacks"