fix test case
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@ -89,6 +89,9 @@ def get_custom_gradient_checkpointing_func(gradient_checkpointing_func):
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return gradient_checkpointing_func(func, *args, **kwargs)
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return gradient_checkpointing_func(func, *args, **kwargs)
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if hasattr(gradient_checkpointing_func, "__self__"): # fix test case
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custom_gradient_checkpointing_func.__self__ = gradient_checkpointing_func.__self__
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return custom_gradient_checkpointing_func
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return custom_gradient_checkpointing_func
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@ -54,7 +54,7 @@ def test_checkpointing_disable():
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def test_unsloth_gradient_checkpointing():
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def test_unsloth_gradient_checkpointing():
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model = load_train_model(use_unsloth_gc=True, **TRAIN_ARGS)
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model = load_train_model(use_unsloth_gc=True, **TRAIN_ARGS)
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for module in filter(lambda m: hasattr(m, "gradient_checkpointing"), model.modules()):
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for module in filter(lambda m: hasattr(m, "gradient_checkpointing"), model.modules()):
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assert module._gradient_checkpointing_func.__self__.__name__ == "UnslothGradientCheckpointing"
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assert module._gradient_checkpointing_func.__self__.__name__ == "UnslothGradientCheckpointing" # classmethod
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def test_upcast_layernorm():
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def test_upcast_layernorm():
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