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    질문 & 답변
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  • 해결 여부

    미해결

섹션3에서 fashion-mnist 데이터셋이 로드되지 않습니다.

21.06.06 22:24 작성 조회수 380

0

해당 강의에서 다음 코드를 수행하였습니다.

from tensorflow.keras.datasets import fashion_mnist # 전체 6만개 데이터 중, 5만개는 학습 데이터용, 1만개는 테스트 데이터용으로 분리 (train_images, train_labels), (test_images, test_labels) = fashion_mnist.load_data()

하지만 아래와 같은 에러(exception) 이 발생하였고, 다음 셀 역시 수행되지 않습니다.

이런 경우 어떻게 대처해야할지 알려주시면 감사하겠습니다.

---------------------------------------------------------------------------
gaierror                                  Traceback (most recent call last)
/opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)
   1349                 h.request(req.get_method(), req.selector, req.data, headers,
-> 1350                           encode_chunked=req.has_header('Transfer-encoding'))
   1351             except OSError as err: # timeout error

/opt/conda/lib/python3.7/http/client.py in request(self, method, url, body, headers, encode_chunked)
   1276         """Send a complete request to the server."""
-> 1277         self._send_request(method, url, body, headers, encode_chunked)
   1278 

/opt/conda/lib/python3.7/http/client.py in _send_request(self, method, url, body, headers, encode_chunked)
   1322             body = _encode(body, 'body')
-> 1323         self.endheaders(body, encode_chunked=encode_chunked)
   1324 

/opt/conda/lib/python3.7/http/client.py in endheaders(self, message_body, encode_chunked)
   1271             raise CannotSendHeader()
-> 1272         self._send_output(message_body, encode_chunked=encode_chunked)
   1273 

/opt/conda/lib/python3.7/http/client.py in _send_output(self, message_body, encode_chunked)
   1031         del self._buffer[:]
-> 1032         self.send(msg)
   1033 

/opt/conda/lib/python3.7/http/client.py in send(self, data)
    971             if self.auto_open:
--> 972                 self.connect()
    973             else:

/opt/conda/lib/python3.7/http/client.py in connect(self)
   1438 
-> 1439             super().connect()
   1440 

/opt/conda/lib/python3.7/http/client.py in connect(self)
    943         self.sock = self._create_connection(
--> 944             (self.host,self.port), self.timeout, self.source_address)
    945         self.sock.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)

/opt/conda/lib/python3.7/socket.py in create_connection(address, timeout, source_address)
    706     err = None
--> 707     for res in getaddrinfo(host, port, 0, SOCK_STREAM):
    708         af, socktype, proto, canonname, sa = res

/opt/conda/lib/python3.7/socket.py in getaddrinfo(host, port, family, type, proto, flags)
    751     addrlist = []
--> 752     for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
    753         af, socktype, proto, canonname, sa = res

gaierror: [Errno -3] Temporary failure in name resolution

During handling of the above exception, another exception occurred:

URLError                                  Traceback (most recent call last)
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/utils/data_utils.py in get_file(fname, origin, untar, md5_hash, file_hash, cache_subdir, hash_algorithm, extract, archive_format, cache_dir)
    274       try:
--> 275         urlretrieve(origin, fpath, dl_progress)
    276       except HTTPError as e:

/opt/conda/lib/python3.7/urllib/request.py in urlretrieve(url, filename, reporthook, data)
    246 
--> 247     with contextlib.closing(urlopen(url, data)) as fp:
    248         headers = fp.info()

/opt/conda/lib/python3.7/urllib/request.py in urlopen(url, data, timeout, cafile, capath, cadefault, context)
    221         opener = _opener
--> 222     return opener.open(url, data, timeout)
    223 

/opt/conda/lib/python3.7/urllib/request.py in open(self, fullurl, data, timeout)
    524 
--> 525         response = self._open(req, data)
    526 

/opt/conda/lib/python3.7/urllib/request.py in _open(self, req, data)
    542         result = self._call_chain(self.handle_open, protocol, protocol +
--> 543                                   '_open', req)
    544         if result:

/opt/conda/lib/python3.7/urllib/request.py in _call_chain(self, chain, kind, meth_name, *args)
    502             func = getattr(handler, meth_name)
--> 503             result = func(*args)
    504             if result is not None:

/opt/conda/lib/python3.7/urllib/request.py in https_open(self, req)
   1392             return self.do_open(http.client.HTTPSConnection, req,
-> 1393                 context=self._context, check_hostname=self._check_hostname)
   1394 

/opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)
   1351             except OSError as err: # timeout error
-> 1352                 raise URLError(err)
   1353             r = h.getresponse()

URLError: <urlopen error [Errno -3] Temporary failure in name resolution>

During handling of the above exception, another exception occurred:

Exception                                 Traceback (most recent call last)
<ipython-input-26-8cfb83a588da> in <module>
      3 
      4 # 전체 6만개 데이터 중, 5만개는 학습 데이터용, 1만개는 테스트 데이터용으로 분리
----> 5 (train_images, train_labels), (test_images, test_labels) = fashion_mnist.load_data()
      6 
      7 # image size는 28x28의 grayscale 2차원 데이터

/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/datasets/fashion_mnist.py in load_data()
     73   paths = []
     74   for fname in files:
---> 75     paths.append(get_file(fname, origin=base + fname, cache_subdir=dirname))
     76 
     77   with gzip.open(paths[0], 'rb') as lbpath:

/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/utils/data_utils.py in get_file(fname, origin, untar, md5_hash, file_hash, cache_subdir, hash_algorithm, extract, archive_format, cache_dir)
    277         raise Exception(error_msg.format(origin, e.code, e.msg))
    278       except URLError as e:
--> 279         raise Exception(error_msg.format(origin, e.errno, e.reason))
    280     except (Exception, KeyboardInterrupt) as e:
    281       if os.path.exists(fpath):

Exception: URL fetch failure on https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-labels-idx1-ubyte.gz: None -- [Errno -3] Temporary failure in name resolution

답변 1

답변을 작성해보세요.

0

안녕하십니까,

이 건은 뭔가 네트웍 환경이 문제인것 같습니다.

https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-labels-idx1-ubyte.gz

에서 데이터를 download 못하고 있는데, 네트웍 접속이 잘되는지 등을 확인 부탁드립니다. kaggle kernel을 사용하신다면 오른쪽 메뉴에서 인터넷 접속을 on 부탁드립니다.

그래도 안되면 다시 글 업데이트 부탁드립니다.

감사합니다.

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