diff options
| author | Volpeon <git@volpeon.ink> | 2022-10-03 12:08:16 +0200 |
|---|---|---|
| committer | Volpeon <git@volpeon.ink> | 2022-10-03 12:08:16 +0200 |
| commit | 6c072fe50b3bfc561f22e5d591212d30de3c2dd2 (patch) | |
| tree | e6dd60b5fa696d614ccc1cddb869c12c29f6ab46 /data/textual_inversion | |
| parent | Assign unused images in validation dataset to train dataset (diff) | |
| download | textual-inversion-diff-6c072fe50b3bfc561f22e5d591212d30de3c2dd2.tar.gz textual-inversion-diff-6c072fe50b3bfc561f22e5d591212d30de3c2dd2.tar.bz2 textual-inversion-diff-6c072fe50b3bfc561f22e5d591212d30de3c2dd2.zip | |
Fixed euler_a generator argument
Diffstat (limited to 'data/textual_inversion')
| -rw-r--r-- | data/textual_inversion/csv.py | 8 |
1 files changed, 5 insertions, 3 deletions
diff --git a/data/textual_inversion/csv.py b/data/textual_inversion/csv.py index e082511..3ac57df 100644 --- a/data/textual_inversion/csv.py +++ b/data/textual_inversion/csv.py | |||
| @@ -19,7 +19,8 @@ class CSVDataModule(pl.LightningDataModule): | |||
| 19 | interpolation="bicubic", | 19 | interpolation="bicubic", |
| 20 | placeholder_token="*", | 20 | placeholder_token="*", |
| 21 | center_crop=False, | 21 | center_crop=False, |
| 22 | valid_set_size=None): | 22 | valid_set_size=None, |
| 23 | generator=None): | ||
| 23 | super().__init__() | 24 | super().__init__() |
| 24 | 25 | ||
| 25 | self.data_file = Path(data_file) | 26 | self.data_file = Path(data_file) |
| @@ -35,6 +36,7 @@ class CSVDataModule(pl.LightningDataModule): | |||
| 35 | self.center_crop = center_crop | 36 | self.center_crop = center_crop |
| 36 | self.interpolation = interpolation | 37 | self.interpolation = interpolation |
| 37 | self.valid_set_size = valid_set_size | 38 | self.valid_set_size = valid_set_size |
| 39 | self.generator = generator | ||
| 38 | 40 | ||
| 39 | self.batch_size = batch_size | 41 | self.batch_size = batch_size |
| 40 | 42 | ||
| @@ -48,10 +50,10 @@ class CSVDataModule(pl.LightningDataModule): | |||
| 48 | def setup(self, stage=None): | 50 | def setup(self, stage=None): |
| 49 | valid_set_size = int(len(self.data_full) * 0.2) | 51 | valid_set_size = int(len(self.data_full) * 0.2) |
| 50 | if self.valid_set_size: | 52 | if self.valid_set_size: |
| 51 | valid_set_size = math.min(valid_set_size, self.valid_set_size) | 53 | valid_set_size = min(valid_set_size, self.valid_set_size) |
| 52 | train_set_size = len(self.data_full) - valid_set_size | 54 | train_set_size = len(self.data_full) - valid_set_size |
| 53 | 55 | ||
| 54 | self.data_train, self.data_val = random_split(self.data_full, [train_set_size, valid_set_size]) | 56 | self.data_train, self.data_val = random_split(self.data_full, [train_set_size, valid_set_size], self.generator) |
| 55 | 57 | ||
| 56 | train_dataset = CSVDataset(self.data_train, self.tokenizer, size=self.size, repeats=self.repeats, interpolation=self.interpolation, | 58 | train_dataset = CSVDataset(self.data_train, self.tokenizer, size=self.size, repeats=self.repeats, interpolation=self.interpolation, |
| 57 | placeholder_token=self.placeholder_token, center_crop=self.center_crop) | 59 | placeholder_token=self.placeholder_token, center_crop=self.center_crop) |
