sara-02
commented
4 years ago A quick update, I tried the same sample code on Kaggle, with the following setting and got the same error.
Python 3.7
pytorch-ignite==0.4.2
pytorch-lightning==1.0.2
torch==1.6.0
torchaudio==0.6.0a0+f17ae39
torchtext==0.8.0a0+c851c3e
torchvision==0.7.0
inltk==0.9
Error
from inltk.inltk import get_sentence_encoding
encoding = get_sentence_encoding('मुझे अपने देश से', 'hi')
---------------------------------------------------------------------------
ModuleAttributeError Traceback (most recent call last)
<ipython-input-9-156adabc231f> in <module>
1 from inltk.inltk import get_sentence_encoding
----> 2 encoding = get_sentence_encoding('मुझे अपने देश से', 'hi')
/opt/conda/lib/python3.7/site-packages/inltk/inltk.py in get_sentence_encoding(input, language_code)
116 defaults.device = torch.device('cpu')
117 path = Path(__file__).parent
--> 118 learn = load_learner(path / 'models' / f'{language_code}')
119 encoder = learn.model[0]
120 encoder.reset()
/opt/conda/lib/python3.7/site-packages/fastai/basic_train.py in load_learner(path, file, test, **db_kwargs)
624 cb_state = state.pop('cb_state')
625 clas_func = state.pop('cls')
--> 626 res = clas_func(data, model, **state)
627 res.callback_fns = state['callback_fns'] #to avoid duplicates
628 res.callbacks = [load_callback(c,s, res) for c,s in cb_state.items()]
/opt/conda/lib/python3.7/site-packages/fastai/text/learner.py in __init__(self, data, model, split_func, clip, alpha, beta, metrics, **learn_kwargs)
50 isinstance(data.train_ds.y, LMLabelList)))
51 metrics = ifnone(metrics, ([accuracy] if is_class else []))
---> 52 super().__init__(data, model, metrics=metrics, **learn_kwargs)
53 self.callbacks.append(RNNTrainer(self, alpha=alpha, beta=beta))
54 if clip: self.callback_fns.append(partial(GradientClipping, clip=clip))
/opt/conda/lib/python3.7/site-packages/fastai/basic_train.py in __init__(self, data, model, opt_func, loss_func, metrics, true_wd, bn_wd, wd, train_bn, path, model_dir, callback_fns, callbacks, layer_groups, add_time, silent, cb_fns_registered)
/opt/conda/lib/python3.7/site-packages/fastai/basic_train.py in __post_init__(self)
164 "Setup path,metrics, callbacks and ensure model directory exists."
165 self.path = Path(ifnone(self.path, self.data.path))
--> 166 self.model = self.model.to(self.data.device)
167 self.loss_func = self.loss_func or self.data.loss_func
168 self.metrics=listify(self.metrics)
/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py in to(self, *args, **kwargs)
605 return t.to(device, dtype if t.is_floating_point() else None, non_blocking)
606
--> 607 return self._apply(convert)
608
609 def register_backward_hook(
/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py in _apply(self, fn)
352 def _apply(self, fn):
353 for module in self.children():
--> 354 module._apply(fn)
355
356 def compute_should_use_set_data(tensor, tensor_applied):
/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py in _apply(self, fn)
352 def _apply(self, fn):
353 for module in self.children():
--> 354 module._apply(fn)
355
356 def compute_should_use_set_data(tensor, tensor_applied):
/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py in _apply(self, fn)
352 def _apply(self, fn):
353 for module in self.children():
--> 354 module._apply(fn)
355
356 def compute_should_use_set_data(tensor, tensor_applied):
/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py in _apply(self, fn)
352 def _apply(self, fn):
353 for module in self.children():
--> 354 module._apply(fn)
355
356 def compute_should_use_set_data(tensor, tensor_applied):
/opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py in _apply(self, fn)
157 # Note: be v. careful before removing this, as 3rd party device types
158 # likely rely on this behavior to properly .to() modules like LSTM.
--> 159 self._flat_weights = [(lambda wn: getattr(self, wn) if hasattr(self, wn) else None)(wn) for wn in self._flat_weights_names]
160 # Flattens params (on CUDA)
161 self.flatten_parameters()
/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py in __getattr__(self, name)
770 return modules[name]
771 raise ModuleAttributeError("'{}' object has no attribute '{}'".format(
--> 772 type(self).__name__, name))
773
774 def __setattr__(self, name: str, value: Union[Tensor, 'Module']) -> None:
ModuleAttributeError: 'LSTM' object has no attribute '_flat_weights_names'
goru001
zmf0507
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
Same error as above occurs when using