fix torch.onnx.symbolic_opset12 import

Author: ydshieh

src/transformers/models/deberta/modeling_deberta.py

@@ -187,6 +187,8 @@ def backward(ctx, grad_output):
 
     @staticmethod
     def symbolic(g: torch._C.Graph, input: torch._C.Value, local_ctx: Union[float, DropoutContext]) -> torch._C.Value:
+        from torch.onnx import symbolic_opset12
+
         dropout_p = local_ctx
         if isinstance(local_ctx, DropoutContext):
             dropout_p = local_ctx.dropout
@@ -198,7 +200,7 @@ def symbolic(g: torch._C.Graph, input: torch._C.Value, local_ctx: Union[float, D
         # Once https://github.com/pytorch/pytorch/issues/78391 is fixed, do something like:
         # if opset_version < 12:
         #   return torch.onnx.symbolic_opset9.dropout(g, input, dropout_p, train)
-        return torch.onnx.symbolic_opset12.dropout(g, input, dropout_p, train)
+        return symbolic_opset12.dropout(g, input, dropout_p, train)
 
 
 class StableDropout(nn.Module):

src/transformers/models/deberta_v2/modeling_deberta_v2.py

@@ -193,6 +193,8 @@ def backward(ctx, grad_output):
 
     @staticmethod
     def symbolic(g: torch._C.Graph, input: torch._C.Value, local_ctx: Union[float, DropoutContext]) -> torch._C.Value:
+        from torch.onnx import symbolic_opset12
+
         dropout_p = local_ctx
         if isinstance(local_ctx, DropoutContext):
             dropout_p = local_ctx.dropout
@@ -204,7 +206,7 @@ def symbolic(g: torch._C.Graph, input: torch._C.Value, local_ctx: Union[float, D
         # Once https://github.com/pytorch/pytorch/issues/78391 is fixed, do something like:
         # if opset_version < 12:
         #   return torch.onnx.symbolic_opset9.dropout(g, input, dropout_p, train)
-        return torch.onnx.symbolic_opset12.dropout(g, input, dropout_p, train)
+        return symbolic_opset12.dropout(g, input, dropout_p, train)
 
 
 # Copied from transformers.models.deberta.modeling_deberta.StableDropout

src/transformers/models/sew_d/modeling_sew_d.py

@@ -597,6 +597,8 @@ def backward(ctx, grad_output):
 
     @staticmethod
     def symbolic(g: torch._C.Graph, input: torch._C.Value, local_ctx: Union[float, DropoutContext]) -> torch._C.Value:
+        from torch.onnx import symbolic_opset12
+
         dropout_p = local_ctx
         if isinstance(local_ctx, DropoutContext):
             dropout_p = local_ctx.dropout
@@ -608,7 +610,7 @@ def symbolic(g: torch._C.Graph, input: torch._C.Value, local_ctx: Union[float, D
         # Once https://github.com/pytorch/pytorch/issues/78391 is fixed, do something like:
         # if opset_version < 12:
         #   return torch.onnx.symbolic_opset9.dropout(g, input, dropout_p, train)
-        return torch.onnx.symbolic_opset12.dropout(g, input, dropout_p, train)
+        return symbolic_opset12.dropout(g, input, dropout_p, train)
 
 
 # Copied from transformers.models.deberta.modeling_deberta.StableDropout