datasets

model_custom.py

@@ -102,7 +102,7 @@ class Model_Common_Transformer(nn.Module):
     def forward(self, seq, charge):
         meta_ohe = torch.nn.functional.one_hot(charge - 1, self.charge_max).float()
         seq_emb = torch.nn.functional.one_hot(seq, self.nb_aa).float()
-        print(seq_emb.shape())
+        print(seq_emb.shape)
         print(self.nb_aa, self.embedding_dim)
         emb = self.pos_embedding(self.emb(seq_emb))
         meta_enc = self.meta_enc(meta_ohe)