Dataclass error while importing Fairseq in Python 3.11

[usaraj]

🐛 Bug

FaValueError: mutable default <class 'fairseq.dataclass.configs.CommonConfig'> for field common is not allowed: use default_factory

To Reproduce

Steps to reproduce the behavior (always include the command you ran):
1, pip install fairseq==0.12.2
2. from fairseq import *

Trace:

Traceback (most recent call last):
File "", line 1, in
File "/home/a1bharat/fairseq/fairseq/init.py", line 20, in
from fairseq.distributed import utils as distributed_utils
File "/home/a1bharat/fairseq/fairseq/distributed/init.py", line 7, in
from .legacy_distributed_data_parallel import LegacyDistributedDataParallel
File "/home/a1bharat/fairseq/fairseq/distributed/legacy_distributed_data_parallel.py", line 23, in
from fairseq.distributed import utils
File "/home/a1bharat/fairseq/fairseq/distributed/utils.py", line 22, in
from fairseq.dataclass.configs import DistributedTrainingConfig, FairseqConfig
File "/home/a1bharat/fairseq/fairseq/dataclass/init.py", line 6, in
from .configs import FairseqDataclass
File "/home/a1bharat/fairseq/fairseq/dataclass/configs.py", line 906, in
@DataClass
^^^^^^^^^
File "/usr/lib/python3.11/dataclasses.py", line 1220, in dataclass
return wrap(cls)
^^^^^^^^^
File "/usr/lib/python3.11/dataclasses.py", line 1210, in wrap
return _process_class(cls, init, repr, eq, order, unsafe_hash,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.11/dataclasses.py", line 958, in _process_class
cls_fields.append(_get_field(cls, name, type, kw_only))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.11/dataclasses.py", line 815, in _get_field
raise ValueError(f'mutable default {type(f.default)} for field '
ValueError: mutable default <class 'fairseq.dataclass.configs.CommonConfig'> for field common is not allowed: use default_factory

Code sample

Environment

• fairseq Version ( main):
• PyTorch Version (e.g., 1.0): 1.13.1
• OS (e.g., Linux): Ubuntu
• How you installed fairseq (pip, source): pip install successful
• Build command you used (if compiling from source): git clone followed by pip install ./
• Python version: 3.11
• CUDA/cuDNN version: 11.6
• GPU models and configuration: NVIDIA
• Any other relevant information:

Additional context

[VarunGumma]

Is Pytorch supporting python 3.11?

[EmreOzkose]

Hi, is there any progress on this issue?

[EmreOzkose]

I created another conda environment with python 3.9, and didn't face with this error.

[VarunGumma]

@EmreOzkose Yes, Pytorch2.0 supports Python 3.11

[Birch-san]

fairseq/fairseq/dataclass/configs.py

Line 1129 in 176cd93

common: CommonConfig = CommonConfig()

I assume it wants something like this:

@dataclass
class FairseqConfig(FairseqDataclass):
-     common: CommonConfig = CommonConfig()
+     common: CommonConfig = field(default_factory=CommonConfig)

[conan1024hao]

same problem

[ashesfall]

Experiencing this with 3.11.2.

[Muskan19577]

I am also facing the same issue. any way to resolve this?

[ashesfall]

@Muskan19577 I had to move back to python 3.9