(self, n_frame: int, height: int, width: int,
rnd_state: np.random.RandomState)
| 373 | self.frame_grading_arr = np.arange(frame_grading_num) * 4 + 1 |
| 374 | |
| 375 | def __call__(self, n_frame: int, height: int, width: int, |
| 376 | rnd_state: np.random.RandomState) -> Any: |
| 377 | tgt_h, tgt_w = self.preprocess(n_frame, height, width, rnd_state) |
| 378 | flop = FlopEstimator2D1DNotExact(n_frame, tgt_h, tgt_w, |
| 379 | self.pixel_grading_arr, |
| 380 | self.frame_grading_arr) |
| 381 | return flop |
| 382 | |
| 383 | |
| 384 | class BucketConfig3AR(BucketConfigFromSideList): |
nothing calls this directly
no test coverage detected