关于python：在kaggle上导入预训练的vgg模型时的Gaierror

Gaierror while importing pretrained vgg model on kaggle

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

我正试图导入一个预先培训的VGG模型在喀拉什对卡格尔。我遇到了一个不熟悉的盖尔错误。

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_tf_kernels_notop.h5:
None -- [Errno -3] Temporary failure in name resolution

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