HELP! An error occur run: 'from elmoformanylangs import Embedder'

[BaiMeiyingxue]

When I installed it and used the command ‘from elmoformanylangs import Embedder’
allennlp 2.9.3，python=3.8
An error occurred

File E:\Anaconda3\envs\Elmol\lib\site-packages\elmoformanylangs-0.0.4.post2-py3.8.egg\elmoformanylangs\elmo.py:12, in
10 from .modules.embedding_layer import EmbeddingLayer
11 from .utils import dict2namedtuple
---> 12 from .frontend import create_one_batch
13 from .frontend import Model
14 import numpy as np

File E:\Anaconda3\envs\Elmol\lib\site-packages\elmoformanylangs-0.0.4.post2-py3.8.egg\elmoformanylangs\frontend.py:10, in
8 from .modules.elmo import ElmobiLm
9 from .modules.lstm import LstmbiLm
---> 10 from .modules.token_embedder import ConvTokenEmbedder, LstmTokenEmbedder
12 logger = logging.getLogger('elmoformanylangs')
14 def create_one_batch(x, word2id, char2id, config, oov='', pad='', sort=True):

File E:\Anaconda3\envs\Elmol\lib\site-packages\elmoformanylangs-0.0.4.post2-py3.8.egg\elmoformanylangs\modules\token_embedder.py:8, in
6 from torch.autograd import Variable
7 import copy
----> 8 from .highway import Highway
11 class LstmTokenEmbedder(nn.Module):
12 def init(self, config, word_emb_layer, char_emb_layer, use_cuda=False):

File E:\Anaconda3\envs\Elmol\lib\site-packages\elmoformanylangs-0.0.4.post2-py3.8.egg\elmoformanylangs\modules\highway.py:12, in
8 import torch
9 from overrides import overrides
---> 12 class Highway(torch.nn.Module):
13 """
14 A Highway layer <https://arxiv.org/abs/1505.00387>_ does a gated combination of a linear
15 transformation and a non-linear transformation of its input. :math:`y = g * x + (1 - g) *
(...)
28 The non-linearity to use in the highway layers.
29 """
30 def init(self,
31 input_dim: int,
32 num_layers: int = 1,
33 activation: Callable[[torch.Tensor], torch.Tensor] = torch.nn.functional.relu) -> None:

File E:\Anaconda3\envs\Elmol\lib\site-packages\elmoformanylangs-0.0.4.post2-py3.8.egg\elmoformanylangs\modules\highway.py:47, in Highway()
39 for layer in self.layers:
40 # We should bias the highway layer to just carry its input forward. We do that by
41 # setting the bias on B(x) to be positive, because that means g will be biased to
42 # be high, to we will carry the input forward. The bias on B(x) is the second half
43 # of the bias vector in each Linear layer.
44 layer.bias[input_dim:].data.fill(1)
46 @OVERRIDES
---> 47 def forward(self, inputs: torch.Tensor) -> torch.Tensor: # pylint: disable=arguments-differ
48 current_input = inputs
49 for layer in self._layers:

File E:\Anaconda3\envs\Elmol\lib\site-packages\overrides-6.1.0-py3.8.egg\overrides\overrides.py:88, in overrides(method, check_signature, check_at_runtime)
58 """Decorator to indicate that the decorated method overrides a method in
59 superclass.
60 The decorator code is executed while loading class. Using this method
(...)
85 docstring from super class
86 """
87 if method is not None:
---> 88 return _overrides(method, check_signature, check_at_runtime)
89 else:
90 return functools.partial(
91 overrides,
92 check_signature=check_signature,
93 check_at_runtime=check_at_runtime,
94 )

File E:\Anaconda3\envs\Elmol\lib\site-packages\overrides-6.1.0-py3.8.egg\overrides\overrides.py:114, in _overrides(method, check_signature, check_at_runtime)
112 return wrapper # type: ignore
113 else:
--> 114 _validate_method(method, super_class, check_signature)
115 return method
116 raise TypeError(f"{method.qualname}: No super class method found")

File E:\Anaconda3\envs\Elmol\lib\site-packages\overrides-6.1.0-py3.8.egg\overrides\overrides.py:135, in _validate_method(method, super_class, check_signature)
129 method.doc = super_method.doc
130 if (
131 check_signature
132 and not method.name.startswith("__")
133 and not isinstance(super_method, property)
134 ):
--> 135 ensure_signature_is_compatible(super_method, method, is_static)

File E:\Anaconda3\envs\Elmol\lib\site-packages\overrides-6.1.0-py3.8.egg\overrides\signature.py:93, in ensure_signature_is_compatible(super_callable, sub_callable, is_static)
90 same_main_module = _is_same_module(sub_callable, super_callable)
92 if super_type_hints is not None and sub_type_hints is not None:
---> 93 ensure_return_type_compatibility(super_type_hints, sub_type_hints, method_name)
94 ensure_all_kwargs_defined_in_sub(
95 super_sig, sub_sig, super_type_hints, sub_type_hints, is_static, method_name
96 )
97 ensure_all_positional_args_defined_in_sub(
98 super_sig,
99 sub_sig,
(...)
104 method_name,
105 )

File E:\Anaconda3\envs\Elmol\lib\site-packages\overrides-6.1.0-py3.8.egg\overrides\signature.py:287, in ensure_return_type_compatibility(super_type_hints, sub_type_hints, method_name)
285 sub_return = sub_type_hints.get("return", None)
286 if not _issubtype(sub_return, super_return) and super_return is not None:
--> 287 raise TypeError(
288 f"{method_name}: return type {sub_return} is not a {super_return}."
289 )

TypeError: Highway.forward: return type <class 'torch.Tensor'> is not a <class 'NoneType'>.

can you help me? thank you

[disperaller]

Indeed, I ran into the same issue when running 'from elmoformanylangs import Embedder'
could someone help on this?

[Scallions]

I ues this command to override the overrides. XD
pip install overrides==3.1.0
it worked for me