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Set weights_only in torch.load (#36991)

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cyyever
2025-03-27 22:55:50 +08:00
committed by GitHub
parent de77f5b1ec
commit 41a0e58e5b
28 changed files with 64 additions and 78 deletions
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8
tests/peft_integration/test_peft_integration.py
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@@ -554,7 +554,7 @@ class PeftIntegrationTester(unittest.TestCase, PeftTesterMixin):
state_dict_path = hf_hub_download(peft_model_id, "adapter_model.bin")
dummy_state_dict = torch.load(state_dict_path)
dummy_state_dict = torch.load(state_dict_path, weights_only=True)
model.load_adapter(adapter_state_dict=dummy_state_dict, peft_config=peft_config)
with self.assertRaises(ValueError):
@@ -579,7 +579,7 @@ class PeftIntegrationTester(unittest.TestCase, PeftTesterMixin):
peft_config = LoraConfig()
state_dict_path = hf_hub_download(peft_model_id, "adapter_model.bin")
dummy_state_dict = torch.load(state_dict_path)
dummy_state_dict = torch.load(state_dict_path, weights_only=True)
# this should always work
model.load_adapter(
@@ -647,7 +647,7 @@ class PeftIntegrationTester(unittest.TestCase, PeftTesterMixin):
peft_config = LoraConfig()
state_dict_path = hf_hub_download(peft_model_id, "adapter_model.bin")
dummy_state_dict = torch.load(state_dict_path)
dummy_state_dict = torch.load(state_dict_path, weights_only=True)
# add unexpected key
dummy_state_dict["foobar"] = next(iter(dummy_state_dict.values()))
@@ -674,7 +674,7 @@ class PeftIntegrationTester(unittest.TestCase, PeftTesterMixin):
peft_config = LoraConfig()
state_dict_path = hf_hub_download(peft_model_id, "adapter_model.bin")
dummy_state_dict = torch.load(state_dict_path)
dummy_state_dict = torch.load(state_dict_path, weights_only=True)
# remove a key so that we have missing keys
key = next(iter(dummy_state_dict.keys()))