问在kaggle上导入预训练的vgg模型时的Gaierror

EN

initial_model = VGG19(weights='imagenet', pooling = max)

我正试图在krasgle上导入一个预先训练好的VGG模型。我经历了一个不熟悉的gaierror。

Downloading data from https://github.com/fchollet/deep-learning-models/releases/download/v0.1/vgg19_weights_tf_dim_ordering_tf_kernels_notop.h5

--------------------------------------------------------------------------- gaierror Traceback (most recent call last) /opt/conda/lib/python3.6/urllib/request.py in do_open(self, http_class, req, **http_conn_args) 1317 h.request(req.get_method(), req.selector, req.data, headers, -> 1318 encode_chunked=req.has_header('Transfer-encoding')) 1319 except OSError as err: # timeout error

/opt/conda/lib/python3.6/http/client.py in request(self, method, url, body, headers, encode_chunked) 1238 """Send a complete request to the server.""" -> 1239 self._send_request(method, url, body, headers, encode_chunked) 1240

/opt/conda/lib/python3.6/http/client.py in _send_request(self, method, url, body, headers, encode_chunked) 1284 body = _encode(body, 'body') -> 1285 self.endheaders(body, encode_chunked=encode_chunked) 1286

/opt/conda/lib/python3.6/http/client.py in endheaders(self, message_body, encode_chunked) 1233 raise CannotSendHeader() -> 1234 self._send_output(message_body, encode_chunked=encode_chunked) 1235

/opt/conda/lib/python3.6/http/client.py in _send_output(self, message_body, encode_chunked) 1025 del self._buffer[:] -> 1026 self.send(msg) 1027

/opt/conda/lib/python3.6/http/client.py in send(self, data) 963 if self.auto_open: --> 964 self.connect() 965 else:

/opt/conda/lib/python3.6/http/client.py in connect(self) 1391 -> 1392 super().connect() 1393

/opt/conda/lib/python3.6/http/client.py in connect(self) 935 self.sock = self._create_connection( --> 936 (self.host,self.port), self.timeout, self.source_address) 937 self.sock.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)

/opt/conda/lib/python3.6/socket.py in create_connection(address, timeout, source_address) 703 err = None --> 704 for res in getaddrinfo(host, port, 0, SOCK_STREAM): 705 af, socktype, proto, canonname, sa = res

/opt/conda/lib/python3.6/socket.py in getaddrinfo(host, port, family, type, proto, flags) 744 addrlist = [] --> 745 for res in _socket.getaddrinfo(host, port, family, type, proto, flags): 746 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/python3.6/site-packages/keras/utils/data_utils.py in get_file(fname, origin, untar, md5_hash, file_hash, cache_subdir, hash_algorithm, extract, archive_format, cache_dir) 221 try: --> 222 urlretrieve(origin, fpath, dl_progress) 223 except HTTPError as e:

/opt/conda/lib/python3.6/urllib/request.py in urlretrieve(url, filename, reporthook, data) 247 --> 248 with contextlib.closing(urlopen(url, data)) as fp: 249 headers = fp.info()

/opt/conda/lib/python3.6/urllib/request.py in urlopen(url, data, timeout, cafile, capath, cadefault, context) 222 opener = _opener --> 223 return opener.open(url, data, timeout) 224

/opt/conda/lib/python3.6/urllib/request.py in open(self, fullurl, data, timeout) 525 --> 526 response = self._open(req, data) 527

/opt/conda/lib/python3.6/urllib/request.py in _open(self, req, data) 543 result = self._call_chain(self.handle_open, protocol, protocol + --> 544 '_open', req) 545 if result:

/opt/conda/lib/python3.6/urllib/request.py in _call_chain(self, chain, kind, meth_name, *args) 503 func = getattr(handler, meth_name) --> 504 result = func(*args) 505 if result is not None:

/opt/conda/lib/python3.6/urllib/request.py in https_open(self, req) 1360 return self.do_open(http.client.HTTPSConnection, req, -> 1361 context=self._context, check_hostname=self._check_hostname) 1362

/opt/conda/lib/python3.6/urllib/request.py in do_open(self, http_class, req, **http_conn_args) 1319 except OSError as err: # timeout error -> 1320 raise URLError(err) 1321 r = h.getresponse()

URLError:

During handling of the above exception, another exception occurred:

Exception Traceback (most recent call last) in () ----> 1 initial_model = VGG19(include_top=False, input_shape=(128,128,3), weights='imagenet')

/opt/conda/lib/python3.6/site-packages/keras/applications/init.py in wrapper(*args, **kwargs) 26 kwargs['models'] = models 27 kwargs['utils'] = utils ---> 28 return base_fun(*args, **kwargs) 29 30 return wrapper

/opt/conda/lib/python3.6/site-packages/keras/applications/vgg19.py in VGG19(*args, **kwargs) 9 @keras_modules_injection 10 def VGG19(*args, **kwargs): ---> 11 return vgg19.VGG19(*args, **kwargs) 12 13

/opt/conda/lib/python3.6/site-packages/keras_applications/vgg19.py in VGG19(include_top, weights, input_tensor, input_shape, pooling, classes, **kwargs) 219 WEIGHTS_PATH_NO_TOP, 220 cache_subdir='models', --> 221 file_hash='253f8cb515780f3b799900260a226db6') 222 model.load_weights(weights_path) 223 if backend.backend() == 'theano':

/opt/conda/lib/python3.6/site-packages/keras/utils/data_utils.py in get_file(fname, origin, untar, md5_hash, file_hash, cache_subdir, hash_algorithm, extract, archive_format, cache_dir) 224 raise Exception(error_msg.format(origin, e.code, e.msg)) 225 except URLError as e: --> 226 raise Exception(error_msg.format(origin, e.errno, e.reason)) 227 except (Exception, KeyboardInterrupt): 228 if os.path.exists(fpath):

Exception: URL fetch failure on https://github.com/fchollet/deep-learning-models/releases/download/v0.1/vgg19_weights_tf_dim_ordering