Remove unused parameters

torchscale/architecture/config.py

@@ -112,10 +112,10 @@ class DecoderConfig(object):
         self.ddp_rank = kwargs.pop("ddp_rank", 0)
 
         if self.deepnorm:
-            self.encoder_normalize_before = False
+            self.decoder_normalize_before = False
             self.subln = False
         if self.subln:
-            self.encoder_normalize_before = True
+            self.decoder_normalize_before = True
             self.deepnorm = False
         if self.use_xmoe:
             self.moe_normalize_gate_prob_before_dropping = True

torchscale/architecture/decoder.py

@@ -92,11 +92,6 @@ class DecoderLayer(nn.Module):
         else:
             self.alpha = 1.0
 
-        if args.subln:
-            self.ffn_layernorm = LayerNorm(self.ffn_dim)
-        else:
-            self.ffn_layernorm = None
-
     def build_ffn(self, embed_dim, args):
         return FeedForwardNetwork(
             embed_dim,