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Force torch>=2.6 with torch.load to avoid vulnerability issue (#37785)

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* fix all main files

* fix test files

* oups forgot modular

* add link

* update message
This commit is contained in:
Cyril Vallez
2025-04-25 16:57:09 +02:00
committed by GitHub
parent eefc86aa31
commit 0cfbf9c95b
24 changed files with 88 additions and 9 deletions
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6
tests/peft_integration/test_peft_integration.py
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@@ -38,7 +38,7 @@ from transformers.testing_utils import (
slow,
torch_device,
)
from transformers.utils import is_torch_available
from transformers.utils import check_torch_load_is_safe, is_torch_available
if is_torch_available():
@@ -552,6 +552,7 @@ class PeftIntegrationTester(unittest.TestCase, PeftTesterMixin):
state_dict_path = hf_hub_download(peft_model_id, "adapter_model.bin")
check_torch_load_is_safe()
dummy_state_dict = torch.load(state_dict_path, weights_only=True)
model.load_adapter(adapter_state_dict=dummy_state_dict, peft_config=peft_config)
@@ -577,6 +578,7 @@ class PeftIntegrationTester(unittest.TestCase, PeftTesterMixin):
peft_config = LoraConfig()
state_dict_path = hf_hub_download(peft_model_id, "adapter_model.bin")
check_torch_load_is_safe()
dummy_state_dict = torch.load(state_dict_path, weights_only=True)
# this should always work
@@ -645,6 +647,7 @@ class PeftIntegrationTester(unittest.TestCase, PeftTesterMixin):
peft_config = LoraConfig()
state_dict_path = hf_hub_download(peft_model_id, "adapter_model.bin")
check_torch_load_is_safe()
dummy_state_dict = torch.load(state_dict_path, weights_only=True)
# add unexpected key
@@ -672,6 +675,7 @@ class PeftIntegrationTester(unittest.TestCase, PeftTesterMixin):
peft_config = LoraConfig()
state_dict_path = hf_hub_download(peft_model_id, "adapter_model.bin")
check_torch_load_is_safe()
dummy_state_dict = torch.load(state_dict_path, weights_only=True)
# remove a key so that we have missing keys