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[lazy] support init on cuda (#4269)
* [lazy] support init on cuda * [test] update lazy init test * [test] fix transformer version
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@@ -61,14 +61,18 @@ def assert_forward_equal(m1: torch.nn.Module, m2: torch.nn.Module, data_gen_fn:
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f'{m1.__class__.__name__} has inconsistent outputs, {out1} vs {out2}'
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def check_lazy_init(entry: TestingEntry, seed: int = 42, verbose: bool = False, check_forward: bool = False) -> None:
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def check_lazy_init(entry: TestingEntry,
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seed: int = 42,
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verbose: bool = False,
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check_forward: bool = False,
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default_device: str = 'cpu') -> None:
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model_fn, data_gen_fn, output_transform_fn, _, model_attr = entry
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_MyTensor._pre_op_fn = lambda *args: set_seed(seed)
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LazyTensor._pre_op_fn = lambda *args: set_seed(seed)
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ctx = LazyInitContext(tensor_cls=_MyTensor)
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ctx = LazyInitContext(tensor_cls=_MyTensor, default_device=default_device)
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with ctx:
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model = model_fn()
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ctx = LazyInitContext()
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ctx = LazyInitContext(default_device=default_device)
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with ctx:
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deferred_model = model_fn()
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copied_deferred_model = deepcopy(deferred_model)
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