我们在使用自行录音的语音数据集从头进行训练时遇到了一下报错信息：
Traceback (most recent call last):
File “nemo_hackathon_final_3.28.py”, line 87, in
trainer.fit(first_asr_model)
File “/opt/conda/lib/python3.6/site-packages/pytorch_lightning/trainer/trainer.py”, line 445, in fit
results = self.accelerator_backend.train()
File “/opt/conda/lib/python3.6/site-packages/pytorch_lightning/accelerators/ddp_spawn_accelerator.py”, line 74, in train
mp.spawn(self.ddp_train, nprocs=self.nprocs, args=(self.mp_queue, model,))
File “/opt/conda/lib/python3.6/site-packages/torch/multiprocessing/spawn.py”, line 200, in spawn
return start_processes(fn, args, nprocs, join, daemon, start_method=‘spawn’)
File “/opt/conda/lib/python3.6/site-packages/torch/multiprocessing/spawn.py”, line 149, in start_processes
process.start()
File “/opt/conda/lib/python3.6/multiprocessing/process.py”, line 105, in start
self._popen = self._Popen(self)
File “/opt/conda/lib/python3.6/multiprocessing/context.py”, line 284, in _Popen
return Popen(process_obj)
File “/opt/conda/lib/python3.6/multiprocessing/popen_spawn_posix.py”, line 32, in init
super().init(process_obj)
File “/opt/conda/lib/python3.6/multiprocessing/popen_fork.py”, line 19, in init
self._launch(process_obj)
File “/opt/conda/lib/python3.6/multiprocessing/popen_spawn_posix.py”, line 47, in _launch
reduction.dump(process_obj, fp)
File “/opt/conda/lib/python3.6/multiprocessing/reduction.py”, line 60, in dump
ForkingPickler(file, protocol).dump(obj)
AttributeError: Can’t pickle local object ‘FilterbankFeatures.init..’
查询Google发现github上有人提出过issue，根据提示更改为单GPU运行但依然报错：AttributeError: Can't pickle local object 'FilterbankFeatures.__init__.<locals>.<lambda>' · Issue #1194 · NVIDIA/NeMo · GitHub
但之后尝试直接使用迁移学习模型训练，则没有遇到报错。请问该如何解决？（使用的运行文件在附件中）
PS: 使用的设备和环境是DGX Station, Ubuntu 18.04, Nemo Docker