I know it is not a fastai problem, but any help woud be appreciated.
I am trying to download torchvision models and I am getting an error from urlopen (from urlib.requests).
Minimal code:
from torchvision.models import *
r18 = resnet18(True)
>>Downloading: "https://download.pytorch.org/models/resnet18-5c106cde.pth" to /home/tc256760/.cache/torch/checkpoints/resnet18-5c106cde.pth
---------------------------------------------------------------------------
gaierror Traceback (most recent call last)
~/anaconda3/envs/fastai-master/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)
1316 h.request(req.get_method(), req.selector, req.data, headers,
-> 1317 encode_chunked=req.has_header('Transfer-encoding'))
1318 except OSError as err: # timeout error
~/anaconda3/envs/fastai-master/lib/python3.7/http/client.py in request(self, method, url, body, headers, encode_chunked)
1228 """Send a complete request to the server."""
-> 1229 self._send_request(method, url, body, headers, encode_chunked)
1230
~/anaconda3/envs/fastai-master/lib/python3.7/http/client.py in _send_request(self, method, url, body, headers, encode_chunked)
1274 body = _encode(body, 'body')
-> 1275 self.endheaders(body, encode_chunked=encode_chunked)
1276
~/anaconda3/envs/fastai-master/lib/python3.7/http/client.py in endheaders(self, message_body, encode_chunked)
1223 raise CannotSendHeader()
-> 1224 self._send_output(message_body, encode_chunked=encode_chunked)
1225
~/anaconda3/envs/fastai-master/lib/python3.7/http/client.py in _send_output(self, message_body, encode_chunked)
1015 del self._buffer[:]
-> 1016 self.send(msg)
1017
~/anaconda3/envs/fastai-master/lib/python3.7/http/client.py in send(self, data)
955 if self.auto_open:
--> 956 self.connect()
957 else:
~/anaconda3/envs/fastai-master/lib/python3.7/http/client.py in connect(self)
1383
-> 1384 super().connect()
1385
~/anaconda3/envs/fastai-master/lib/python3.7/http/client.py in connect(self)
927 self.sock = self._create_connection(
--> 928 (self.host,self.port), self.timeout, self.source_address)
929 self.sock.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)
~/anaconda3/envs/fastai-master/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
~/anaconda3/envs/fastai-master/lib/python3.7/socket.py in getaddrinfo(host, port, family, type, proto, flags)
747 addrlist = []
--> 748 for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
749 af, socktype, proto, canonname, sa = res
gaierror: [Errno -2] Name or service not known
During handling of the above exception, another exception occurred:
URLError Traceback (most recent call last)
<ipython-input-13-5d3203569518> in <module>
----> 1 r18 = resnet18(True)
~/anaconda3/envs/fastai-master/lib/python3.7/site-packages/torchvision/models/resnet.py in resnet18(pretrained, progress, **kwargs)
224 """
225 return _resnet('resnet18', BasicBlock, [2, 2, 2, 2], pretrained, progress,
--> 226 **kwargs)
227
228
~/anaconda3/envs/fastai-master/lib/python3.7/site-packages/torchvision/models/resnet.py in _resnet(arch, block, layers, pretrained, progress, **kwargs)
211 if pretrained:
212 state_dict = load_state_dict_from_url(model_urls[arch],
--> 213 progress=progress)
214 model.load_state_dict(state_dict)
215 return model
~/anaconda3/envs/fastai-master/lib/python3.7/site-packages/torch/hub.py in load_state_dict_from_url(url, model_dir, map_location, progress)
431 sys.stderr.write('Downloading: "{}" to {}\n'.format(url, cached_file))
432 hash_prefix = HASH_REGEX.search(filename).group(1)
--> 433 _download_url_to_file(url, cached_file, hash_prefix, progress=progress)
434 return torch.load(cached_file, map_location=map_location)
~/anaconda3/envs/fastai-master/lib/python3.7/site-packages/torch/hub.py in _download_url_to_file(url, dst, hash_prefix, progress)
347 def _download_url_to_file(url, dst, hash_prefix, progress):
348 file_size = None
--> 349 u = urlopen(url)
350 meta = u.info()
351 if hasattr(meta, 'getheaders'):
~/anaconda3/envs/fastai-master/lib/python3.7/urllib/request.py in urlopen(url, data, timeout, cafile, capath, cadefault, context)
220 else:
221 opener = _opener
--> 222 return opener.open(url, data, timeout)
223
224 def install_opener(opener):
~/anaconda3/envs/fastai-master/lib/python3.7/urllib/request.py in open(self, fullurl, data, timeout)
523 req = meth(req)
524
--> 525 response = self._open(req, data)
526
527 # post-process response
~/anaconda3/envs/fastai-master/lib/python3.7/urllib/request.py in _open(self, req, data)
541 protocol = req.type
542 result = self._call_chain(self.handle_open, protocol, protocol +
--> 543 '_open', req)
544 if result:
545 return result
~/anaconda3/envs/fastai-master/lib/python3.7/urllib/request.py in _call_chain(self, chain, kind, meth_name, *args)
501 for handler in handlers:
502 func = getattr(handler, meth_name)
--> 503 result = func(*args)
504 if result is not None:
505 return result
~/anaconda3/envs/fastai-master/lib/python3.7/urllib/request.py in https_open(self, req)
1358 def https_open(self, req):
1359 return self.do_open(http.client.HTTPSConnection, req,
-> 1360 context=self._context, check_hostname=self._check_hostname)
1361
1362 https_request = AbstractHTTPHandler.do_request_
~/anaconda3/envs/fastai-master/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)
1317 encode_chunked=req.has_header('Transfer-encoding'))
1318 except OSError as err: # timeout error
-> 1319 raise URLError(err)
1320 r = h.getresponse()
1321 except:
URLError: <urlopen error [Errno -2] Name or service not known>
I opened ipdb right after, and the line causing the problem is:
u = urlopen("https://download.pytorch.org/models/resnet18-5c106cde.pth")
In my windows machine it works, in my Ubuntu machine it does not. I tried a fresh conda env with no luck. Any idea how to debug this error?
I can urlopen('https://www.google.com") without problem.
It is my new Workstation and I am unable to load pretrained models…