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[PreTrainedModel] Wrap cuda and to method correctly #25206

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Merged
younesbelkada merged 1 commit into from
Jul 31, 2023
Merged

[PreTrainedModel] Wrap cuda and to method correctly #25206

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4 changes: 3 additions & 1 deletion src/transformers/modeling_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial
from functools import partial, wraps
from typing import Any, Callable, Dict, List, Optional, Tuple, Union

import torch
Expand Down Expand Up @@ -1912,6 +1912,7 @@ def get_memory_footprint(self, return_buffers=True):
mem = mem + mem_bufs
return mem

@wraps(torch.nn.Module.cuda)
def cuda(self, *args, **kwargs):
# Checks if the model has been loaded in 8-bit
if getattr(self, "is_quantized", False):
Expand All @@ -1922,6 +1923,7 @@ def cuda(self, *args, **kwargs):
else:
return super().cuda(*args, **kwargs)

@wraps(torch.nn.Module.to)
def to(self, *args, **kwargs):
# Checks if the model has been loaded in 8-bit
if getattr(self, "is_quantized", False):
Expand Down