распределенный по времени pytorch
# 24 fc timedistributed
num = 24
fc = nn.ModuleList([nn.Linear(8, 1) for i in range(num)])
# forward pass
x = np.zeros(64, 24, 8)
outs=[]
for i in range(x.shape[1]):
outs.append(fc[i](x[:, i, :].unsqueeze(1)))
outs=torch.cat(outs, axis=1)