fix tinybert failes if run 1p

model_zoo/official/nlp/tinybert/src/dataset.py

@@ -40,13 +40,21 @@ def create_tinybert_dataset(task='td', batch_size=32, device_num=1, rank=0,
     else:
         columns_list = ["input_ids", "input_mask", "segment_ids"]
 
+    shard_equal_rows = True
+    shuffle = (do_shuffle == "true")
+    if device_num == 1:
+        shard_equal_rows = False
+        shuffle = False
+
     if data_type == DataType.MINDRECORD:
         ds = de.MindDataset(data_files, columns_list=columns_list,
                             shuffle=(do_shuffle == "true"), num_shards=device_num, shard_id=rank)
     else:
         ds = de.TFRecordDataset(data_files, schema_dir, columns_list=columns_list,
-                                shuffle=(do_shuffle == "true"), num_shards=device_num, shard_id=rank,
-                                shard_equal_rows=True)
+                                shuffle=shuffle, num_shards=device_num, shard_id=rank,
+                                shard_equal_rows=shard_equal_rows)
+    if device_num == 1 and shuffle is True:
+        ds = ds.shuffle(10000)
 
     type_cast_op = C.TypeCast(mstype.int32)
     ds = ds.map(operations=type_cast_op, input_columns="segment_ids")