Issue
I want to create Python scripts, based on a notebook, to get a runtime using the same .pkl
file.
Gist: model.pkl
On this line:
learn = load_learner('model.pkl', cpu=True)
I get this error:
(project) daniel@ubuntu-pcs:~/PycharmProjects/project$ python main.py
Traceback (most recent call last):
File "main.py", line 6, in <module>
from src.train.train_model import train
File "/home/daniel/PycharmProjects/project/src/train/train_model.py", line 17, in <module>
learn = load_learner('yasmine-sftp/export_2.pkl', cpu=True) # to run on GPU
File "/home/daniel/miniconda3/envs/project/lib/python3.6/site-packages/fastai/learner.py", line 384, in load_learner
res = torch.load(fname, map_location='cpu' if cpu else None, pickle_module=pickle_module)
File "/home/daniel/miniconda3/envs/project/lib/python3.6/site-packages/torch/serialization.py", line 607, in load
return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
File "/home/daniel/miniconda3/envs/project/lib/python3.6/site-packages/torch/serialization.py", line 882, in _load
result = unpickler.load()
File "/home/daniel/miniconda3/envs/project/lib/python3.6/site-packages/torch/serialization.py", line 875, in find_class
return super().find_class(mod_name, name)
AttributeError: Can't get attribute 'Tf' on <module '__main__' from 'main.py'>
This is because in order to open the .pkl
file, I need the original function that was used to train it.
Thankfully, looking back at the notebook, Tf(o)
is there:
def Tf(o):
return '/mnt/scratch2/DLinTHDP/PathLAKE/Version_4_fastai/Dataset/CD8/Train/masks/'+f'{o.stem}_P{o.suffix}'
However, anywhere I place Tf(o)
in my Python scripts I still get the same error.
Where should I put Tf(o)
?
In error message: <module '__main__' from 'main.py'>
seems to suggest to put it in main()
or under if __name__ ...
.
I've tried everywhere. Importing Tf(o)
also doesn't work.
Python Scripts
main.py
:
import glob
from pathlib import Path
from train_model import train
ROOT = Path("folder/path") # Detection Folder
def main(root: Path):
train(root)
if __name__ == '__main__':
main(ROOT)
train_model.py
:
from pathlib import Path
from fastai.vision.all import *
folder_path = Path('.')
learn = load_learner('model.pkl', cpu=True) # AttributeError
learn.load('model_3C_34_CELW_V_1.1') # weights
def train(root: Path):
# ...
I cannot inspect the file:
(project) daniel@ubuntu-pcs:~/PycharmProjects/project$ python -m pickletools -a model.pkl
Traceback (most recent call last):
File "/home/daniel/miniconda3/envs/project/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/home/daniel/miniconda3/envs/project/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/daniel/miniconda3/envs/project/lib/python3.6/pickletools.py", line 2830, in <module>
args.indentlevel, annotate)
File "/home/daniel/miniconda3/envs/project/lib/python3.6/pickletools.py", line 2394, in dis
for opcode, arg, pos in genops(pickle):
File "/home/daniel/miniconda3/envs/project/lib/python3.6/pickletools.py", line 2242, in _genops
arg = opcode.arg.reader(data)
File "/home/daniel/miniconda3/envs/project/lib/python3.6/pickletools.py", line 373, in read_stringnl_noescape
return read_stringnl(f, stripquotes=False)
File "/home/daniel/miniconda3/envs/project/lib/python3.6/pickletools.py", line 359, in read_stringnl
data = codecs.escape_decode(data)[0].decode("ascii")
UnicodeDecodeError: 'ascii' codec can't decode byte 0x80 in position 63: ordinal not in range(128)
Solution
Problem
Why I get that error is bc the Tf()
function was used to train the model.pkl
file, in the same namespace (because it was done in a notebook file).
This article states:
pickle
is lazy and does not serialize class definitions or function definitions. Instead it saves a reference of how to find the class (the module it lives in and its name)
Solution
There's an extension to pickle called dill, that does serialise Python objects and functions etc. (not references) PyPI
Answered By - DanielBell99
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