I keep getting this error while loading the dataset:
Downloading and preparing dataset 786.68 MiB (download: 786.68 MiB, generated: Unknown size, total: 786.68 MiB) to /root/tensorflow_datasets/cats_vs_dogs/4.0.0...
Dl Completed...: 0%
0/1 [00:00<?, ? url/s]
Dl Size...:
0/0 [00:00<?, ? MiB/s]
---------------------------------------------------------------------------
ConnectionResetError Traceback (most recent call last)
File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:665, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
664 # Make the request on the httplib connection object.
--> 665 httplib_response = self._make_request(
666 conn,
667 method,
668 url,
669 timeout=timeout_obj,
670 body=body,
671 headers=headers,
672 chunked=chunked,
673 )
675 # If we're going to release the connection in ``finally:``, then
676 # the response doesn't need to know about the connection. Otherwise
677 # it will also try to release it and we'll have a double-release
678 # mess.
File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:376, in HTTPConnectionPool._make_request(self, conn, method, url, timeout, chunked, **httplib_request_kw)
375 try:
--> 376 self._validate_conn(conn)
377 except (SocketTimeout, BaseSSLError) as e:
378 # Py2 raises this as a BaseSSLError, Py3 raises it as socket timeout.
File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:996, in HTTPSConnectionPool._validate_conn(self, conn)
995 if not getattr(conn, "sock", None): # AppEngine might not have `.sock`
--> 996 conn.connect()
998 if not conn.is_verified:
File /usr/lib/python3/dist-packages/urllib3/connection.py:366, in VerifiedHTTPSConnection.connect(self)
364 context.load_default_certs()
--> 366 self.sock = ssl_wrap_socket(
367 sock=conn,
368 keyfile=self.key_file,
369 certfile=self.cert_file,
370 key_password=self.key_password,
371 ca_certs=self.ca_certs,
372 ca_cert_dir=self.ca_cert_dir,
373 server_hostname=server_hostname,
374 ssl_context=context,
375 )
377 if self.assert_fingerprint:
File /usr/lib/python3/dist-packages/urllib3/util/ssl_.py:370, in ssl_wrap_socket(sock, keyfile, certfile, cert_reqs, ca_certs, server_hostname, ssl_version, ciphers, ssl_context, ca_cert_dir, key_password)
369 if HAS_SNI and server_hostname is not None:
--> 370 return context.wrap_socket(sock, server_hostname=server_hostname)
372 warnings.warn(
373 "An HTTPS request has been made, but the SNI (Server Name "
374 "Indication) extension to TLS is not available on this platform. "
(...)
380 SNIMissingWarning,
381 )
File /usr/lib/python3.8/ssl.py:500, in SSLContext.wrap_socket(self, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname, session)
494 def wrap_socket(self, sock, server_side=False,
495 do_handshake_on_connect=True,
496 suppress_ragged_eofs=True,
497 server_hostname=None, session=None):
498 # SSLSocket class handles server_hostname encoding before it calls
499 # ctx._wrap_socket()
--> 500 return self.sslsocket_class._create(
501 sock=sock,
502 server_side=server_side,
503 do_handshake_on_connect=do_handshake_on_connect,
504 suppress_ragged_eofs=suppress_ragged_eofs,
505 server_hostname=server_hostname,
506 context=self,
507 session=session
508 )
File /usr/lib/python3.8/ssl.py:1040, in SSLSocket._create(cls, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname, context, session)
1039 raise ValueError("do_handshake_on_connect should not be specified for non-blocking sockets")
-> 1040 self.do_handshake()
1041 except (OSError, ValueError):
File /usr/lib/python3.8/ssl.py:1309, in SSLSocket.do_handshake(self, block)
1308 self.settimeout(None)
-> 1309 self._sslobj.do_handshake()
1310 finally:
ConnectionResetError: [Errno 104] Connection reset by peer
During handling of the above exception, another exception occurred:
ProtocolError Traceback (most recent call last)
File /usr/lib/python3/dist-packages/requests/adapters.py:439, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
438 if not chunked:
--> 439 resp = conn.urlopen(
440 method=request.method,
441 url=url,
442 body=request.body,
443 headers=request.headers,
444 redirect=False,
445 assert_same_host=False,
446 preload_content=False,
447 decode_content=False,
448 retries=self.max_retries,
449 timeout=timeout
450 )
452 # Send the request.
453 else:
File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:719, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
717 e = ProtocolError("Connection aborted.", e)
--> 719 retries = retries.increment(
720 method, url, error=e, _pool=self, _stacktrace=sys.exc_info()[2]
721 )
722 retries.sleep()
File /usr/lib/python3/dist-packages/urllib3/util/retry.py:400, in Retry.increment(self, method, url, response, error, _pool, _stacktrace)
399 if read is False or not self._is_method_retryable(method):
--> 400 raise six.reraise(type(error), error, _stacktrace)
401 elif read is not None:
File /usr/lib/python3/dist-packages/six.py:702, in reraise(tp, value, tb)
701 if value.__traceback__ is not tb:
--> 702 raise value.with_traceback(tb)
703 raise value
File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:665, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
664 # Make the request on the httplib connection object.
--> 665 httplib_response = self._make_request(
666 conn,
667 method,
668 url,
669 timeout=timeout_obj,
670 body=body,
671 headers=headers,
672 chunked=chunked,
673 )
675 # If we're going to release the connection in ``finally:``, then
676 # the response doesn't need to know about the connection. Otherwise
677 # it will also try to release it and we'll have a double-release
678 # mess.
File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:376, in HTTPConnectionPool._make_request(self, conn, method, url, timeout, chunked, **httplib_request_kw)
375 try:
--> 376 self._validate_conn(conn)
377 except (SocketTimeout, BaseSSLError) as e:
378 # Py2 raises this as a BaseSSLError, Py3 raises it as socket timeout.
File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:996, in HTTPSConnectionPool._validate_conn(self, conn)
995 if not getattr(conn, "sock", None): # AppEngine might not have `.sock`
--> 996 conn.connect()
998 if not conn.is_verified:
File /usr/lib/python3/dist-packages/urllib3/connection.py:366, in VerifiedHTTPSConnection.connect(self)
364 context.load_default_certs()
--> 366 self.sock = ssl_wrap_socket(
367 sock=conn,
368 keyfile=self.key_file,
369 certfile=self.cert_file,
370 key_password=self.key_password,
371 ca_certs=self.ca_certs,
372 ca_cert_dir=self.ca_cert_dir,
373 server_hostname=server_hostname,
374 ssl_context=context,
375 )
377 if self.assert_fingerprint:
File /usr/lib/python3/dist-packages/urllib3/util/ssl_.py:370, in ssl_wrap_socket(sock, keyfile, certfile, cert_reqs, ca_certs, server_hostname, ssl_version, ciphers, ssl_context, ca_cert_dir, key_password)
369 if HAS_SNI and server_hostname is not None:
--> 370 return context.wrap_socket(sock, server_hostname=server_hostname)
372 warnings.warn(
373 "An HTTPS request has been made, but the SNI (Server Name "
374 "Indication) extension to TLS is not available on this platform. "
(...)
380 SNIMissingWarning,
381 )
File /usr/lib/python3.8/ssl.py:500, in SSLContext.wrap_socket(self, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname, session)
494 def wrap_socket(self, sock, server_side=False,
495 do_handshake_on_connect=True,
496 suppress_ragged_eofs=True,
497 server_hostname=None, session=None):
498 # SSLSocket class handles server_hostname encoding before it calls
499 # ctx._wrap_socket()
--> 500 return self.sslsocket_class._create(
501 sock=sock,
502 server_side=server_side,
503 do_handshake_on_connect=do_handshake_on_connect,
504 suppress_ragged_eofs=suppress_ragged_eofs,
505 server_hostname=server_hostname,
506 context=self,
507 session=session
508 )
File /usr/lib/python3.8/ssl.py:1040, in SSLSocket._create(cls, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname, context, session)
1039 raise ValueError("do_handshake_on_connect should not be specified for non-blocking sockets")
-> 1040 self.do_handshake()
1041 except (OSError, ValueError):
File /usr/lib/python3.8/ssl.py:1309, in SSLSocket.do_handshake(self, block)
1308 self.settimeout(None)
-> 1309 self._sslobj.do_handshake()
1310 finally:
ProtocolError: ('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))
During handling of the above exception, another exception occurred:
ConnectionError Traceback (most recent call last)
Input In [11], in <cell line: 11>()
3 splits = ['train[:10%]', 'train[-10%:-5%]', 'train[-5%:]']
5 # Remember to use `cats_vs_dogs:4.*.*`
6 # https://www.tensorflow.org/datasets/catalog/cats_vs_dogs
7
8 # It has been downloaded for you so use the data_dir parameter
9 # else it will try to download the dataset and give you an error here
---> 11 splits, info = tfds.load('cats_vs_dogs:4.*.*', split=splits)
13 (train_examples, validation_examples, test_examples) = splits
15 # Testing lengths of the data if they are loaded correctly. Do not edit the code below
File /usr/local/lib/python3.8/dist-packages/tensorflow_datasets/core/logging/__init__.py:250, in load.<locals>.decorator(function, unused_none_instance, args, kwargs)
248 name = args[0] if args else kwargs["name"]
249 try:
--> 250 return function(*args, **kwargs)
251 except Exception:
252 metadata.mark_error()
File /usr/local/lib/python3.8/dist-packages/tensorflow_datasets/core/load.py:575, in load(name, split, data_dir, batch_size, shuffle_files, download, as_supervised, decoders, read_config, with_info, builder_kwargs, download_and_prepare_kwargs, as_dataset_kwargs, try_gcs)
573 if download:
574 download_and_prepare_kwargs = download_and_prepare_kwargs or {}
--> 575 dbuilder.download_and_prepare(**download_and_prepare_kwargs)
577 if as_dataset_kwargs is None:
578 as_dataset_kwargs = {}
File /usr/local/lib/python3.8/dist-packages/tensorflow_datasets/core/dataset_builder.py:523, in DatasetBuilder.download_and_prepare(self, download_dir, download_config, file_format)
521 self.info.read_from_directory(self._data_dir)
522 else:
--> 523 self._download_and_prepare(
524 dl_manager=dl_manager,
525 download_config=download_config,
526 )
528 # NOTE: If modifying the lines below to put additional information in
529 # DatasetInfo, you'll likely also want to update
530 # DatasetInfo.read_from_directory to possibly restore these attributes
531 # when reading from package data.
532 self.info.download_size = dl_manager.downloaded_size
File /usr/local/lib/python3.8/dist-packages/tensorflow_datasets/core/dataset_builder.py:1244, in GeneratorBasedBuilder._download_and_prepare(self, dl_manager, download_config)
1242 else:
1243 optional_pipeline_kwargs = {}
-> 1244 split_generators = self._split_generators( # pylint: disable=unexpected-keyword-arg
1245 dl_manager, **optional_pipeline_kwargs)
1246 # TODO(tfds): Could be removed once all datasets are migrated.
1247 # https://github.com/tensorflow/datasets/issues/2537
1248 # Legacy mode (eventually convert list[SplitGeneratorLegacy] -> dict)
1249 split_generators = split_builder.normalize_legacy_split_generators(
1250 split_generators=split_generators,
1251 generator_fn=self._generate_examples,
1252 is_beam=isinstance(self, BeamBasedBuilder),
1253 )
File /usr/local/lib/python3.8/dist-packages/tensorflow_datasets/image_classification/cats_vs_dogs.py:70, in CatsVsDogs._split_generators(self, dl_manager)
69 def _split_generators(self, dl_manager):
---> 70 path = dl_manager.download(_URL)
72 # There is no predefined train/val/test split for this dataset.
73 return [
74 tfds.core.SplitGenerator(
75 name=tfds.Split.TRAIN,
(...)
78 }),
79 ]
File /usr/local/lib/python3.8/dist-packages/tensorflow_datasets/core/download/download_manager.py:552, in DownloadManager.download(self, url_or_urls)
550 # Add progress bar to follow the download state
551 with self._downloader.tqdm():
--> 552 return _map_promise(self._download, url_or_urls)
File /usr/local/lib/python3.8/dist-packages/tensorflow_datasets/core/download/download_manager.py:770, in _map_promise(map_fn, all_inputs)
768 """Map the function into each element and resolve the promise."""
769 all_promises = tf.nest.map_structure(map_fn, all_inputs) # Apply the function
--> 770 res = tf.nest.map_structure(lambda p: p.get(), all_promises) # Wait promises
771 return res
File /usr/local/lib/python3.8/dist-packages/tensorflow/python/util/nest.py:916, in map_structure(func, *structure, **kwargs)
912 flat_structure = (flatten(s, expand_composites) for s in structure)
913 entries = zip(*flat_structure)
915 return pack_sequence_as(
--> 916 structure[0], [func(*x) for x in entries],
917 expand_composites=expand_composites)
File /usr/local/lib/python3.8/dist-packages/tensorflow/python/util/nest.py:916, in <listcomp>(.0)
912 flat_structure = (flatten(s, expand_composites) for s in structure)
913 entries = zip(*flat_structure)
915 return pack_sequence_as(
--> 916 structure[0], [func(*x) for x in entries],
917 expand_composites=expand_composites)
File /usr/local/lib/python3.8/dist-packages/tensorflow_datasets/core/download/download_manager.py:770, in _map_promise.<locals>.<lambda>(p)
768 """Map the function into each element and resolve the promise."""
769 all_promises = tf.nest.map_structure(map_fn, all_inputs) # Apply the function
--> 770 res = tf.nest.map_structure(lambda p: p.get(), all_promises) # Wait promises
771 return res
File /usr/local/lib/python3.8/dist-packages/promise/promise.py:512, in Promise.get(self, timeout)
510 target = self._target()
511 self._wait(timeout or DEFAULT_TIMEOUT)
--> 512 return self._target_settled_value(_raise=True)
File /usr/local/lib/python3.8/dist-packages/promise/promise.py:516, in Promise._target_settled_value(self, _raise)
514 def _target_settled_value(self, _raise=False):
515 # type: (bool) -> Any
--> 516 return self._target()._settled_value(_raise)
File /usr/local/lib/python3.8/dist-packages/promise/promise.py:226, in Promise._settled_value(self, _raise)
224 if _raise:
225 raise_val = self._fulfillment_handler0
--> 226 reraise(type(raise_val), raise_val, self._traceback)
227 return self._fulfillment_handler0
File /usr/lib/python3/dist-packages/six.py:703, in reraise(tp, value, tb)
701 if value.__traceback__ is not tb:
702 raise value.with_traceback(tb)
--> 703 raise value
704 finally:
705 value = None
File /usr/local/lib/python3.8/dist-packages/promise/promise.py:844, in _process_future_result.<locals>.handle_future_result(future)
841 def handle_future_result(future):
842 # type: (Any) -> None
843 try:
--> 844 resolve(future.result())
845 except Exception as e:
846 tb = exc_info()[2]
File /usr/lib/python3.8/concurrent/futures/_base.py:437, in Future.result(self, timeout)
435 raise CancelledError()
436 elif self._state == FINISHED:
--> 437 return self.__get_result()
439 self._condition.wait(timeout)
441 if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]:
File /usr/lib/python3.8/concurrent/futures/_base.py:389, in Future.__get_result(self)
387 if self._exception:
388 try:
--> 389 raise self._exception
390 finally:
391 # Break a reference cycle with the exception in self._exception
392 self = None
File /usr/lib/python3.8/concurrent/futures/thread.py:57, in _WorkItem.run(self)
54 return
56 try:
---> 57 result = self.fn(*self.args, **self.kwargs)
58 except BaseException as exc:
59 self.future.set_exception(exc)
File /usr/local/lib/python3.8/dist-packages/tensorflow_datasets/core/download/downloader.py:217, in _Downloader._sync_download(self, url, destination_path, verify)
214 except tf.errors.UnimplementedError:
215 pass
--> 217 with _open_url(url, verify=verify) as (response, iter_content):
218 fname = _get_filename(response)
219 path = os.path.join(destination_path, fname)
File /usr/lib/python3.8/contextlib.py:113, in _GeneratorContextManager.__enter__(self)
111 del self.args, self.kwds, self.func
112 try:
--> 113 return next(self.gen)
114 except StopIteration:
115 raise RuntimeError("generator didn't yield") from None
File /usr/local/lib/python3.8/dist-packages/tensorflow_datasets/core/download/downloader.py:278, in _open_with_requests(url, **kwargs)
276 if _DRIVE_URL.match(url):
277 url = _normalize_drive_url(url)
--> 278 with session.get(url, stream=True, **kwargs) as response:
279 _assert_status(response)
280 yield (response, response.iter_content(chunk_size=io.DEFAULT_BUFFER_SIZE))
File /usr/lib/python3/dist-packages/requests/sessions.py:546, in Session.get(self, url, **kwargs)
538 r"""Sends a GET request. Returns :class:`Response` object.
539
540 :param url: URL for the new :class:`Request` object.
541 :param \*\*kwargs: Optional arguments that ``request`` takes.
542 :rtype: requests.Response
543 """
545 kwargs.setdefault('allow_redirects', True)
--> 546 return self.request('GET', url, **kwargs)
File /usr/lib/python3/dist-packages/requests/sessions.py:533, in Session.request(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)
528 send_kwargs = {
529 'timeout': timeout,
530 'allow_redirects': allow_redirects,
531 }
532 send_kwargs.update(settings)
--> 533 resp = self.send(prep, **send_kwargs)
535 return resp
File /usr/lib/python3/dist-packages/requests/sessions.py:646, in Session.send(self, request, **kwargs)
643 start = preferred_clock()
645 # Send the request
--> 646 r = adapter.send(request, **kwargs)
648 # Total elapsed time of the request (approximately)
649 elapsed = preferred_clock() - start
File /usr/lib/python3/dist-packages/requests/adapters.py:498, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
495 raise
497 except (ProtocolError, socket.error) as err:
--> 498 raise ConnectionError(err, request=request)
500 except MaxRetryError as e:
501 if isinstance(e.reason, ConnectTimeoutError):
502 # TODO: Remove this in 3.0.0: see #2811
ConnectionError: ('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))
I found similar errors posted from other courses, but couldn’t find any in this course.
Please help me get this fixed at the earliest, my subscription is ending soon.
