| 21 | |
| 22 | |
| 23 | class BaseModel(object): |
| 24 | |
| 25 | def __init__(self, opt): |
| 26 | self._name = 'BaseModel' |
| 27 | |
| 28 | self._opt = opt |
| 29 | self._gpu_ids = opt.gpu_ids |
| 30 | self._is_train = opt.is_train |
| 31 | |
| 32 | self._Tensor = torch.cuda.FloatTensor if self._gpu_ids else torch.Tensor |
| 33 | self._save_dir = os.path.join(opt.checkpoints_dir, opt.name) |
| 34 | |
| 35 | |
| 36 | @property |
| 37 | def name(self): |
| 38 | return self._name |
| 39 | |
| 40 | @property |
| 41 | def is_train(self): |
| 42 | return self._is_train |
| 43 | |
| 44 | def set_input(self, input): |
| 45 | assert False, "set_input not implemented" |
| 46 | |
| 47 | def set_train(self): |
| 48 | assert False, "set_train not implemented" |
| 49 | |
| 50 | def set_eval(self): |
| 51 | assert False, "set_eval not implemented" |
| 52 | |
| 53 | def forward(self, keep_data_for_visuals=False): |
| 54 | assert False, "forward not implemented" |
| 55 | |
| 56 | # used in test time, no backprop |
| 57 | def test(self): |
| 58 | assert False, "test not implemented" |
| 59 | |
| 60 | def get_image_paths(self): |
| 61 | return {} |
| 62 | |
| 63 | def optimize_parameters(self): |
| 64 | assert False, "optimize_parameters not implemented" |
| 65 | |
| 66 | def get_current_visuals(self): |
| 67 | return {} |
| 68 | |
| 69 | def get_current_errors(self): |
| 70 | return {} |
| 71 | |
| 72 | def get_current_scalars(self): |
| 73 | return {} |
| 74 | |
| 75 | def save(self, label): |
| 76 | assert False, "save not implemented" |
| 77 | |
| 78 | def load(self): |
| 79 | assert False, "load not implemented" |
| 80 |
nothing calls this directly
no outgoing calls
no test coverage detected