Fix for the issue of device-id getting hardcoded for position-ids during...

Fix for the issue of device-id getting hardcoded for position-ids during Tracing for Flaubert (#12292)

* adding position_ids buffer to fix the issue simialr to #5664

* adding position-id buffer to address similar issues to #5664

src/transformers/models/flaubert/modeling_flaubert.py

@@ -18,6 +18,7 @@
 import random
 
 import torch
+from packaging import version
 from torch import nn
 
 from ...file_utils import add_code_sample_docstrings, add_start_docstrings, add_start_docstrings_to_model_forward
@@ -140,6 +141,10 @@ class FlaubertModel(XLMModel):
         super().__init__(config)
         self.layerdrop = getattr(config, "layerdrop", 0.0)
         self.pre_norm = getattr(config, "pre_norm", False)
+        if version.parse(torch.__version__) > version.parse("1.6.0"):
+            self.register_buffer(
+                "position_ids", torch.arange(config.max_position_embeddings).expand((1, -1)), persistent=False
+            )
 
     @add_start_docstrings_to_model_forward(FLAUBERT_INPUTS_DOCSTRING)
     @add_code_sample_docstrings(
@@ -198,8 +203,14 @@ class FlaubertModel(XLMModel):
         # if self.is_decoder and src_enc is not None:
         #     src_mask = torch.arange(src_len.max(), dtype=torch.long, device=lengths.device) < src_len[:, None]
 
-        # position_ids
+        # Setting the position-ids to the registered buffer in constructor, it helps
+        # when tracing the model without passing position-ids, solves
+        # isues similar to issue #5664
         if position_ids is None:
+            if hasattr(self, "position_ids"):
+                position_ids = self.position_ids[:, :slen]
+                position_ids = position_ids.expand((bs, slen))
+            else:
                 position_ids = torch.arange(slen, dtype=torch.long, device=device)
                 position_ids = position_ids.unsqueeze(0).expand((bs, slen))
         else: