(cls, data, requires_grad, backward_hooks, *, archiveinfo=None)
| 114 | |
| 115 | @classmethod |
| 116 | def rebuild_parameter(cls, data, requires_grad, backward_hooks, *, archiveinfo=None): |
| 117 | if isinstance(data, NotYetLoadedTensor): |
| 118 | old_lt = data._load_tensor |
| 119 | |
| 120 | def _load_tensor(): |
| 121 | t = old_lt() |
| 122 | return torch._utils._rebuild_parameter(t, requires_grad, backward_hooks) |
| 123 | |
| 124 | data._load_tensor = _load_tensor |
| 125 | return data |
| 126 | return torch._utils._rebuild_parameter(data, requires_grad, backward_hooks) |
| 127 | |
| 128 | @classmethod |
| 129 | def rebuild_tensor_v2( |
nothing calls this directly
no outgoing calls
no test coverage detected