(scheduler, generator, eta=0.0)
| 71 | |
| 72 | |
| 73 | def prepare_extra_step_kwargs(scheduler, generator, eta=0.0): |
| 74 | # prepare extra kwargs for the scheduler step, since not all schedulers have the same signature |
| 75 | # eta (η) is only used with the DDIMScheduler, it will be ignored for other schedulers. |
| 76 | # eta corresponds to η in DDIM paper: https://arxiv.org/abs/2010.02502 |
| 77 | # and should be between [0, 1] |
| 78 | accepts_eta = 'eta' in set( |
| 79 | inspect.signature(scheduler.step).parameters.keys()) |
| 80 | extra_step_kwargs = {} |
| 81 | if accepts_eta: |
| 82 | extra_step_kwargs['eta'] = eta |
| 83 | # check if the scheduler accepts generator |
| 84 | accepts_generator = 'generator' in set( |
| 85 | inspect.signature(scheduler.step).parameters.keys()) |
| 86 | if accepts_generator: |
| 87 | extra_step_kwargs['generator'] = generator |
| 88 | return extra_step_kwargs |
| 89 | |
| 90 | |
| 91 | def count_trainable_parameters(named_parameters): |
nothing calls this directly
no outgoing calls
no test coverage detected