안녕하세요. AWS로 deep learning을 배우고 있는 학생입니다.

fastai라는 library로 deep learning을 돌리다가  이런 error를 받습니다.


Permissi Traceback (most recent call last) <ipython-input-12-1d86fc0ece07> in <module>() 1 arch = resnet34 2 data = ImageClassifierData.from_paths(PATH, tfms=tfms_from_model(arch,sz )) ----> 3 learn = ConvLearner.pretrained(arch, data, precompute = True) 4 learn.fit(0.01, 2) ~/fastai/fastai/conv_learner.py in pretrained(cls, f, data, ps, xtra_fc, xtra_cut, custom_head, precompute, pretrained, **kwargs) 112 models = ConvnetBuilder(f, data.c, data.is_multi, data.is_reg, 113 ps=ps, xtra_fc=xtra_fc, xtra_cut=xtra_cut, custom_head=custom_head, pretrained=pretrained) --> 114 return cls(data, models, precompute, **kwargs) 115 116 @classmethod ~/fastai/fastai/conv_learner.py in __init__(self, data, models, precompute, **kwargs) 95 def __init__(self, data, models, precompute=False, **kwargs): 96 self.precompute = False ---> 97 super().__init__(data, models, **kwargs) 98 if hasattr(data, 'is_multi') and not data.is_reg and self.metrics is None: 99 self.metrics = [accuracy_thresh(0.5)] if self.data.is_multi else [accuracy] ~/fastai/fastai/learner.py in __init__(self, data, models, opt_fn, tmp_name, models_name, metrics, clip, crit) 35 self.tmp_path = tmp_name if os.path.isabs(tmp_name) else os.path.join(self.data.path, tmp_name) 36 self.models_path = models_name if os.path.isabs(models_name) else os.path.join(self.data.path, models_name) ---> 37 os.makedirs(self.tmp_path, exist_ok=True) 38 os.makedirs(self.models_path, exist_ok=True) 39 self.crit = crit if crit else self._get_crit(data) ~/anaconda3/envs/fastai/lib/python3.6/os.py in makedirs(name, mode, exist_ok) 218 return 219 try: --> 220 mkdir(name, mode) 221 except OSError: 222 # Cannot rely on checking for EEXIST, since the operating system Permissi: [Errno 13] Permission denied: 'data/dogscats/tmp'

제 생각에는 os.mkdir이 권한이 낮아서 dogscats에서 tmp폴더를 못만드는것같은데.

ubuntu terminal로 sudo mkdir로 하면 폴더를 만들수 있는데,

AWS안에서 돌리다 보니까, 그런 권한을 주면서 mkdir을 못만드는것 같아요.


어떻게 하면 AWS에서 이런 권한을 줄 수 있을까요?