self.readout = nn.Linear(in_features = dim_model, out_features = vocabulary_size)
def forward(self, x):
- x = F.pad(x, (1, 0))
+ x = F.pad(x, (1, -1))
x = self.embedding(x)
x = self.trunk(x)
x = self.readout(x)
- x = F.pad(x, (0, 0, 0, -1))
return x
######################################################################