Comments (2)
Just ran into the same problem. Pytorch v2.3.0 no longer defines function _accumulate
in torch/_utils.py
. What worked for me was to patch the code from an older version, namely v2.2.0
def _accumulate(iterable, fn=lambda x, y: x + y):
"Return running totals"
# _accumulate([1,2,3,4,5]) --> 1 3 6 10 15
# _accumulate([1,2,3,4,5], operator.mul) --> 1 2 6 24 120
it = iter(iterable)
try:
total = next(it)
except StopIteration:
return
yield total
for element in it:
total = fn(total, element)
yield total
So, either find and downgrade to an older version of Pytorch such as v2.2.0
or use my workaround, which is:
- comment out the offending import statement in line 13
- append above code snippet to
dataset.py
from easyocr.
conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch
use this torch version with 11.3 toolkit and remove the troch and torchvision from requirements and then install the req.
from easyocr.
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