PyTorch >= 1.7.0 and TensorFlow >= 2.4.0 (#19016)

templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/modeling_{{cookiecutter.lowercase_modelname}}.py

@@ -47,7 +47,6 @@ from ...pytorch_utils import (
     apply_chunking_to_forward,
     find_pruneable_heads_and_indices,
     prune_linear_layer,
-    is_torch_greater_than_1_6,
 )
 from ...utils import logging
 from .configuration_{{cookiecutter.lowercase_modelname}} import {{cookiecutter.camelcase_modelname}}Config
@@ -157,12 +156,11 @@ class {{cookiecutter.camelcase_modelname}}Embeddings(nn.Module):
         # position_ids (1, len position emb) is contiguous in memory and exported when serialized
         self.register_buffer("position_ids", torch.arange(config.max_position_embeddings).expand((1, -1)))
         self.position_embedding_type = getattr(config, "position_embedding_type", "absolute")
-        if is_torch_greater_than_1_6:
-            self.register_buffer(
-                "token_type_ids",
-                torch.zeros(self.position_ids.size(), dtype=torch.long, device=self.position_ids.device),
-                persistent=False,
-            )
+        self.register_buffer(
+            "token_type_ids",
+            torch.zeros(self.position_ids.size(), dtype=torch.long, device=self.position_ids.device),
+            persistent=False,
+        )
 
     def forward(
         self, input_ids=None, token_type_ids=None, position_ids=None, inputs_embeds=None, past_key_values_length=0