(self, *args, **kwargs)
| 58 | |
| 59 | @wraps(func) |
| 60 | def wrapper(self, *args, **kwargs): |
| 61 | if self.graph_mode and self.training: |
| 62 | if len(args) == 0: |
| 63 | raise ValueError('expect at least one input tensor') |
| 64 | |
| 65 | if isinstance(args[0], list): |
| 66 | assert isinstance( |
| 67 | args[0][0], |
| 68 | Tensor), ('function expects PlaceHolders or Tensors') |
| 69 | dev = args[0][0].device |
| 70 | else: |
| 71 | assert isinstance( |
| 72 | args[0], |
| 73 | Tensor), ('function expects PlaceHolders or Tensors') |
| 74 | dev = args[0].device |
| 75 | |
| 76 | if not self._buffered: |
| 77 | # buffer operations |
| 78 | dev.EnableGraph(True) |
| 79 | self._results = func(self, *args, **kwargs) |
| 80 | dev.Sync() |
| 81 | dev.EnableGraph(False) |
| 82 | self._buffered = True |
| 83 | |
| 84 | # deconstruct Operations before running the entire graph |
| 85 | remove_creator(self._results) |
| 86 | |
| 87 | # make sure all Operations are deallocated |
| 88 | gc.collect() |
| 89 | |
| 90 | # run graph |
| 91 | dev.RunGraph(self.sequential) |
| 92 | return self._results |
| 93 | else: |
| 94 | return func(self, *args, **kwargs) |
| 95 | |
| 96 | return wrapper |
| 97 |
nothing calls this directly
no test coverage detected