be sure we have uint8

pytorch_transformers/modeling_transfo_xl.py

@@ -1135,7 +1135,7 @@ class TransfoXLModel(TransfoXLPreTrainedModel):
         mlen = mems[0].size(0) if mems is not None else 0
         klen = mlen + qlen
         if self.same_length:
-            all_ones = word_emb.new_ones(qlen, klen)
+            all_ones = word_emb.new_ones((qlen, klen), dtype=torch.uint8)
             mask_len = klen - self.mem_len
             if mask_len > 0:
                 mask_shift_len = qlen - mask_len
@@ -1145,7 +1145,7 @@ class TransfoXLModel(TransfoXLPreTrainedModel):
                     + torch.tril(all_ones, -mask_shift_len))[:, :, None] # -1
         else:
             dec_attn_mask = torch.triu(
-                word_emb.new_ones(qlen, klen), diagonal=1+mlen)[:,:,None]
+                word_emb.new_ones((qlen, klen), dtype=torch.uint8), diagonal=1+mlen)[:,:,None]
 
         hids = []
         attentions = []