[Error in Sentence & word encoding for Hindi]

Python: 3.8 torch==1.6.0+cpu torchvision==0.7.0+cpu inltk=0.9 OS: Ubuntu 20

Steps followed: As given in the documentation, https://inltk.readthedocs.io/en/latest/api_docs.html

from inltk.inltk import setup
setup('hi')
Downloading Model. This might take time, depending on your internet connection. Please be patient.
We'll only do this for the first time.
Downloading Model. This might take time, depending on your internet connection. Please be patient.
We'll only do this for the first time.
Done!

>>> from inltk.inltk import get_embedding_vectors
>>> vectors = get_embedding_vectors('भारत', 'hi')
Traceback (most recent call last):                                                                             
  File "<stdin>", line 1, in <module>
  File "env3/lib/python3.8/site-packages/inltk/inltk.py", line 100, in get_embedding_vectors
    learn = load_learner(path / 'models' / f'{language_code}')
  File "env3/lib/python3.8/site-packages/fastai/basic_train.py", line 626, in load_learner
    res = clas_func(data, model, **state)
  File "env3/lib/python3.8/site-packages/fastai/text/learner.py", line 52, in __init__
    super().__init__(data, model, metrics=metrics, **learn_kwargs)
  File "<string>", line 20, in __init__
  File "env3/lib/python3.8/site-packages/fastai/basic_train.py", line 166, in __post_init__
    self.model = self.model.to(self.data.device)
  File "env3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 607, in to
    return self._apply(convert)
  File "env3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 354, in _apply
    module._apply(fn)
  File "env3/home/sarah/github/Offensive_Hindi/env3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 354, in _apply
    module._apply(fn)
  File "env3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 354, in _apply
    module._apply(fn)
  [Previous line repeated 1 more time]
  File "env3/lib/python3.8/site-packages/torch/nn/modules/rnn.py", line 159, in _apply
    self._flat_weights = [(lambda wn: getattr(self, wn) if hasattr(self, wn) else None)(wn) for wn in self._flat_weights_names]
  File "env3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 771, in __getattr__
    raise ModuleAttributeError("'{}' object has no attribute '{}'".format(
torch.nn.modules.module.ModuleAttributeError: 'LSTM' object has no attribute '_flat_weights_names'

Same error as above occurs when using

>>> from inltk.inltk import get_sentence_encoding
>>> encoding = get_sentence_encoding('मुझे अपने देश से', 'hi')
......
env3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 771, in __getattr__
    raise ModuleAttributeError("'{}' object has no attribute '{}'".format(
torch.nn.modules.module.ModuleAttributeError: 'LSTM' object has no attribute '_flat_weights_names'

[sara-02]

@goru001 I see. I think we can close this issue as it is no longer specific to the embedding use case, and create another issue to track the Python version, meanwhile, I will send a PR requiring the use of specific versions.

[goru001]

@sara-02 Thanks for sharing the notebook. I checked it. I was not able to reproduce this on python version 3.6.3 and 3.6.8, but was able to reproduce on 3.6.9. I also tried this on Kaggle kernels which has python 3.7.6 and there also it seems to be working fine. So I think it has something to do with python version I guess, and will take some time for me to figure out. Can you switch to v3.6.8 or v3.6.3 ? It should work fine post that!