del gradient_checkpointing_enable()

del gradient_checkpointing_enable()
because it did nothing and when training with transformers, it did **NOT** enable gradient_checkpointing.

modeling_chatglm.py

@@ -797,9 +797,6 @@ class ChatGLMPreTrainedModel(PreTrainedModel):
         position_ids = torch.arange(seq_length, dtype=torch.long, device=device).unsqueeze(0).repeat(batch_size, 1)
         return position_ids
 
-    def gradient_checkpointing_enable(self, gradient_checkpointing_kwargs=None):
-        if not self.supports_gradient_checkpointing:
-            raise ValueError(f"{self.__class__.__name__} does not support gradient checkpointing.")
 
 
 class Embedding(torch.nn.Module):