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Fix deprecated torch._utils._accumulate and CTC loss device mismatch #1455

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Fix deprecated torch._utils._accumulate and CTC loss device mismatch #1455

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b4d7ddd
Replace deprecated torch._utils._accumulate with itertools.accumulate
PSImera May 2, 2026
59ee52f
Fix device mismatch in CTC loss and consolidate trainer into notebook
PSImera May 2, 2026
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7 changes: 4 additions & 3 deletions trainer/dataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,9 +10,10 @@
from PIL import Image
import numpy as np
from torch.utils.data import Dataset, ConcatDataset, Subset
from torch._utils import _accumulate
from itertools import accumulate as _accumulate
import torchvision.transforms as transforms


def contrast_grey(img):
high = np.percentile(img, 90)
low = np.percentile(img, 10)
Expand Down Expand Up @@ -98,12 +99,12 @@ def get_batch(self):

for i, data_loader_iter in enumerate(self.dataloader_iter_list):
try:
image, text = data_loader_iter.next()
image, text = next(data_loader_iter)
balanced_batch_images.append(image)
balanced_batch_texts += text
except StopIteration:
self.dataloader_iter_list[i] = iter(self.data_loader_list[i])
image, text = self.dataloader_iter_list[i].next()
image, text = next(self.dataloader_iter_list[i])
balanced_batch_images.append(image)
balanced_batch_texts += text
except ValueError:
Expand Down
112 changes: 0 additions & 112 deletions trainer/test.py
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