So I’m using Kaggle kernels and I uploaded my dataset which has two folders train and valid. And train is then divided into two subfolders, which are the labels. Same for the valid folder.
My databunch is built like this :
data = ImageDataBunch.from_folder(PATH, ds_tfms=get_transforms(), size=224, bs=16).normalize(imagenet_stats)
And the images get displayed when I run show_batch.
But when I run learn = create_cnn(data, models.resnet34, metrics=error_rate) I get the following error :
Downloading: "https://download.pytorch.org/models/resnet34-333f7ec4.pth" to /tmp/.torch/models/resnet34-333f7ec4.pth
---------------------------------------------------------------------------
gaierror Traceback (most recent call last)
/opt/conda/lib/python3.6/site-packages/urllib3/connection.py in _new_conn(self)
140 conn = connection.create_connection(
--> 141 (self.host, self.port), self.timeout, **extra_kw)
142
/opt/conda/lib/python3.6/site-packages/urllib3/util/connection.py in create_connection(address, timeout, source_address, socket_options)
59
---> 60 for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM):
61 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:
NewConnectionError Traceback (most recent call last)
/opt/conda/lib/python3.6/site-packages/urllib3/connectionpool.py in urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
600 body=body, headers=headers,
--> 601 chunked=chunked)
602
/opt/conda/lib/python3.6/site-packages/urllib3/connectionpool.py in _make_request(self, conn, method, url, timeout, chunked, **httplib_request_kw)
345 try:
--> 346 self._validate_conn(conn)
347 except (SocketTimeout, BaseSSLError) as e:
/opt/conda/lib/python3.6/site-packages/urllib3/connectionpool.py in _validate_conn(self, conn)
849 if not getattr(conn, 'sock', None): # AppEngine might not have `.sock`
--> 850 conn.connect()
851
/opt/conda/lib/python3.6/site-packages/urllib3/connection.py in connect(self)
283 # Add certificate verification
--> 284 conn = self._new_conn()
285
/opt/conda/lib/python3.6/site-packages/urllib3/connection.py in _new_conn(self)
149 raise NewConnectionError(
--> 150 self, "Failed to establish a new connection: %s" % e)
151
NewConnectionError: <urllib3.connection.VerifiedHTTPSConnection object at 0x7ff9f439e5c0>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution
During handling of the above exception, another exception occurred:
MaxRetryError Traceback (most recent call last)
/opt/conda/lib/python3.6/site-packages/requests/adapters.py in send(self, request, stream, timeout, verify, cert, proxies)
448 retries=self.max_retries,
--> 449 timeout=timeout
450 )
/opt/conda/lib/python3.6/site-packages/urllib3/connectionpool.py in urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
638 retries = retries.increment(method, url, error=e, _pool=self,
--> 639 _stacktrace=sys.exc_info()[2])
640 retries.sleep()
/opt/conda/lib/python3.6/site-packages/urllib3/util/retry.py in increment(self, method, url, response, error, _pool, _stacktrace)
387 if new_retry.is_exhausted():
--> 388 raise MaxRetryError(_pool, url, error or ResponseError(cause))
389
MaxRetryError: HTTPSConnectionPool(host='download.pytorch.org', port=443): Max retries exceeded with url: /models/resnet34-333f7ec4.pth (Caused by NewConnectionError('<urllib3.connection.VerifiedHTTPSConnection object at 0x7ff9f439e5c0>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution',))
During handling of the above exception, another exception occurred:
ConnectionError Traceback (most recent call last)
<ipython-input-72-24f407e425f3> in <module>()
----> 1 learn = create_cnn(data, models.resnet34, metrics=error_rate)
/opt/conda/lib/python3.6/site-packages/fastai/vision/learner.py in create_cnn(data, arch, cut, pretrained, lin_ftrs, ps, custom_head, split_on, bn_final, **kwargs)
53 "Build convnet style learners."
54 meta = cnn_config(arch)
---> 55 body = create_body(arch, pretrained, cut)
56 nf = num_features_model(body) * 2
57 head = custom_head or create_head(nf, data.c, lin_ftrs, ps=ps, bn_final=bn_final)
/opt/conda/lib/python3.6/site-packages/fastai/vision/learner.py in create_body(arch, pretrained, cut, body_fn)
30 def create_body(arch:Callable, pretrained:bool=True, cut:Optional[int]=None, body_fn:Callable[[nn.Module],nn.Module]=None):
31 "Cut off the body of a typically pretrained `model` at `cut` or as specified by `body_fn`."
---> 32 model = arch(pretrained)
33 if not cut and not body_fn: cut = cnn_config(arch)['cut']
34 return (nn.Sequential(*list(model.children())[:cut]) if cut
/opt/conda/lib/python3.6/site-packages/torchvision/models/resnet.py in resnet34(pretrained, **kwargs)
174 model = ResNet(BasicBlock, [3, 4, 6, 3], **kwargs)
175 if pretrained:
--> 176 model.load_state_dict(model_zoo.load_url(model_urls['resnet34']))
177 return model
178
/opt/conda/lib/python3.6/site-packages/torch/utils/model_zoo.py in load_url(url, model_dir, map_location, progress)
64 sys.stderr.write('Downloading: "{}" to {}\n'.format(url, cached_file))
65 hash_prefix = HASH_REGEX.search(filename).group(1)
---> 66 _download_url_to_file(url, cached_file, hash_prefix, progress=progress)
67 return torch.load(cached_file, map_location=map_location)
68
/opt/conda/lib/python3.6/site-packages/torch/utils/model_zoo.py in _download_url_to_file(url, dst, hash_prefix, progress)
70 def _download_url_to_file(url, dst, hash_prefix, progress):
71 if requests_available:
---> 72 u = urlopen(url, stream=True)
73 file_size = int(u.headers["Content-Length"])
74 u = u.raw
/opt/conda/lib/python3.6/site-packages/requests/api.py in get(url, params, **kwargs)
73
74 kwargs.setdefault('allow_redirects', True)
---> 75 return request('get', url, params=params, **kwargs)
76
77
/opt/conda/lib/python3.6/site-packages/requests/api.py in request(method, url, **kwargs)
58 # cases, and look like a memory leak in others.
59 with sessions.Session() as session:
---> 60 return session.request(method=method, url=url, **kwargs)
61
62
/opt/conda/lib/python3.6/site-packages/requests/sessions.py in request(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)
531 }
532 send_kwargs.update(settings)
--> 533 resp = self.send(prep, **send_kwargs)
534
535 return resp
/opt/conda/lib/python3.6/site-packages/requests/sessions.py in send(self, request, **kwargs)
644
645 # Send the request
--> 646 r = adapter.send(request, **kwargs)
647
648 # Total elapsed time of the request (approximately)
/opt/conda/lib/python3.6/site-packages/requests/adapters.py in send(self, request, stream, timeout, verify, cert, proxies)
514 raise SSLError(e, request=request)
515
--> 516 raise ConnectionError(e, request=request)
517
518 except ClosedPoolError as e:
ConnectionError: HTTPSConnectionPool(host='download.pytorch.org', port=443): Max retries exceeded with url: /models/resnet34-333f7ec4.pth (Caused by NewConnectionError('<urllib3.connection.VerifiedHTTPSConnection object at 0x7ff9f439e5c0>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution',)
Sorry about the long error message but I couldn’t find a similar error anywhere on the forums, thanks.