Update model.py

Fixed the indentation of the suggestion.

inference/model.py

@@ -779,20 +779,21 @@ class Transformer(nn.Module):
             torch.Tensor: Logits tensor of shape (batch_size, vocab_size).
         """
         with autocast():
-        seqlen = tokens.size(1)
-        h = self.embed(tokens)
-        freqs_cis = self.freqs_cis[start_pos:start_pos+seqlen]
-        mask = None
-        if seqlen > 1:
-            mask = torch.full((seqlen, seqlen), float("-inf"), device=tokens.device).triu_(1)
-        for layer in self.layers:
-            h = layer(h, start_pos, freqs_cis, mask)
-        h = self.norm(h)[:, -1]
-        logits = self.head(h)
-        if world_size > 1:
-            all_logits = [torch.empty_like(logits) for _ in range(world_size)]
-            dist.all_gather(all_logits, logits)
-            logits = torch.cat(all_logits, dim=-1)
+           seqlen = tokens.size(1)
+           h = self.embed(tokens)
+           freqs_cis = self.freqs_cis[start_pos:start_pos+seqlen]
+           mask = None
+           if seqlen > 1:
+              mask = torch.full((seqlen, seqlen), float("-inf"), device=tokens.device).triu_(1)
+           for layer in self.layers:
+               h = layer(h, start_pos, freqs_cis, mask)
+           h = self.norm(h)[:, -1]
+           logits = self.head(h)
+           if world_size > 1:
+              all_logits = [torch.empty_like(logits) for _ in range(world_size)]
+              dist.all_gather(all_logits, logits)
+              logits = torch.cat(all_logits, dim=-1)
+               
         return logits