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Traceback (most recent call last):
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq_cli\hydra_train.py", line 27, in hydra_main
_hydra_main(cfg)
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq_cli\hydra_train.py", line 56, in hydra_main
distributed_utils.call_main(cfg, pre_main, **kwargs)
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq\distributed\utils.py", line 369, in call_main
main(cfg, **kwargs)
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq_cli\train.py", line 96, in main
model = task.build_model(cfg.model)
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq\tasks\fairseq_task.py", line 343, in build_model
model = models.build_model(cfg, self, from_checkpoint)
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq\models_init.py", line 106, in build_model
return model.build_model(cfg, task)
File "E:\Code\notebooks\data2vec\models\data2vec2.py", line 392, in build_model
return cls(cfg, modalities, task=task, skip_ema=cfg.skip_ema)
File "E:\Code\notebooks\data2vec\models\data2vec2.py", line 251, in init
self.ema = self.make_ema_teacher(cfg.ema_decay)
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\torch\autograd\grad_mode.py", line 28, in decorate_context
return func(*args, **kwargs)
File "E:\Code\notebooks\data2vec\models\data2vec2.py", line 302, in make_ema_teacher
return EMAModule(
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq\modules\ema_module.py", line 42, in init
self.model = copy.deepcopy(model)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 270, in _reconstruct
state = deepcopy(state, memo)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 146, in deepcopy
y = copier(x, memo)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 230, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 270, in _reconstruct
state = deepcopy(state, memo)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 146, in deepcopy
y = copier(x, memo)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 230, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 271, in _reconstruct
if hasattr(y, 'setstate'):
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq\tasks\fairseq_task.py", line 40, in getattr
if name not in self._state and name in self._factories:
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq\tasks\fairseq_task.py", line 40, in getattr
if name not in self._state and name in self._factories:
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq\tasks\fairseq_task.py", line 40, in getattr
if name not in self._state and name in self._factories:
[Previous line repeated 962 more times]
RecursionError: maximum recursion depth exceeded
The text was updated successfully, but these errors were encountered:
[Previous line repeated 962 more times] !!!!
The following is the terminal error message
Traceback (most recent call last):
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq_cli\hydra_train.py", line 27, in hydra_main
_hydra_main(cfg)
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq_cli\hydra_train.py", line 56, in hydra_main
distributed_utils.call_main(cfg, pre_main, **kwargs)
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq\distributed\utils.py", line 369, in call_main
main(cfg, **kwargs)
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq_cli\train.py", line 96, in main
model = task.build_model(cfg.model)
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq\tasks\fairseq_task.py", line 343, in build_model
model = models.build_model(cfg, self, from_checkpoint)
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq\models_init.py", line 106, in build_model
return model.build_model(cfg, task)
File "E:\Code\notebooks\data2vec\models\data2vec2.py", line 392, in build_model
return cls(cfg, modalities, task=task, skip_ema=cfg.skip_ema)
File "E:\Code\notebooks\data2vec\models\data2vec2.py", line 251, in init
self.ema = self.make_ema_teacher(cfg.ema_decay)
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\torch\autograd\grad_mode.py", line 28, in decorate_context
return func(*args, **kwargs)
File "E:\Code\notebooks\data2vec\models\data2vec2.py", line 302, in make_ema_teacher
return EMAModule(
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq\modules\ema_module.py", line 42, in init
self.model = copy.deepcopy(model)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 270, in _reconstruct
state = deepcopy(state, memo)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 146, in deepcopy
y = copier(x, memo)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 230, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 270, in _reconstruct
state = deepcopy(state, memo)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 146, in deepcopy
y = copier(x, memo)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 230, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "E:\anaconda3\envs\pytorch1.10.0\lib\copy.py", line 271, in _reconstruct
if hasattr(y, 'setstate'):
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq\tasks\fairseq_task.py", line 40, in getattr
if name not in self._state and name in self._factories:
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq\tasks\fairseq_task.py", line 40, in getattr
if name not in self._state and name in self._factories:
File "E:\anaconda3\envs\pytorch1.10.0\lib\site-packages\fairseq\tasks\fairseq_task.py", line 40, in getattr
if name not in self._state and name in self._factories:
[Previous line repeated 962 more times]
RecursionError: maximum recursion depth exceeded
The text was updated successfully, but these errors were encountered: