rom1504
commented
2 years ago The error is aiohttp.client_exceptions.ClientConnectorError: Cannot connect to host github.com:443 ssl:default [Connection reset by peer]
Is GitHub available where you're running this ?
On Fri, May 27, 2022, 10:42 takusaitoh @.***> wrote:
Hi!
I ran the code below in jupyter notebook.
from threading import Thread
def app(): !clip-retrieval back --port 1234 --indices-paths indices_paths.json
if name == 'main': t1 = Thread(target = app) a = t1.start() !lt --port 1234
After that, the following error was output.
/bin/sh: 1: lt: not found starting boot of clip back 100%|████████████████████████████████████████| 354M/354M [22:15<00:00, 265kiB/s] Downloading: 100%|██████████████████████████████| 690/690 [00:00<00:00, 514kB/s] Downloading: 100%|██████████████████████████████| 190/190 [00:00<00:00, 360kB/s] Downloading: 100%|██████████████████████████████| 115/115 [00:00<00:00, 210kB/s] Downloading: 100%|█████████████████████████| 1.57M/1.57M [00:00<00:00, 3.90MB/s] Downloading: 100%|█████████████████████████| 5.63k/5.63k [00:00<00:00, 9.16MB/s] Downloading: 100%|█████████████████████████████| 572/572 [00:00<00:00, 1.03MB/s] Downloading: 100%|██████████████████████████████| 122/122 [00:00<00:00, 213kB/s] Downloading: 100%|██████████████████████████████| 341/341 [00:00<00:00, 614kB/s] Downloading: 100%|███████████████████████████| 539M/539M [01:13<00:00, 7.31MB/s] Downloading: 100%|████████████████████████████| 53.0/53.0 [00:00<00:00, 101kB/s] Downloading: 100%|██████████████████████████████| 112/112 [00:00<00:00, 198kB/s] Downloading: 100%|██████████████████████████| 1.96M/1.96M [00:05<00:00, 380kB/s] Downloading: 100%|██████████████████████████████| 371/371 [00:00<00:00, 521kB/s] Downloading: 100%|████████████████████████████| 996k/996k [00:02<00:00, 343kB/s] Traceback (most recent call last): File "/opt/conda/lib/python3.8/site-packages/aiohttp/connector.py", line 986, in _wrap_create_connection return await self._loop.create_connection(*args, **kwargs) # type: ignore[return-value] # noqa File "/opt/conda/lib/python3.8/asyncio/base_events.py", line 1050, in create_connection transport, protocol = await self._create_connection_transport( File "/opt/conda/lib/python3.8/asyncio/base_events.py", line 1080, in _create_connection_transport await waiter File "/opt/conda/lib/python3.8/asyncio/selector_events.py", line 848, in _read_ready__data_received data = self._sock.recv(self.max_size) ConnectionResetError: [Errno 104] Connection reset by peer
The above exception was the direct cause of the following exception:
Traceback (most recent call last): File "/opt/conda/lib/python3.8/site-packages/fsspec/implementations/http.py", line 383, in _info await _file_info( File "/opt/conda/lib/python3.8/site-packages/fsspec/implementations/http.py", line 730, in _file_info r = await session.get(url, allow_redirects=ar, **kwargs) File "/opt/conda/lib/python3.8/site-packages/aiohttp/client.py", line 535, in _request conn = await self._connector.connect( File "/opt/conda/lib/python3.8/site-packages/aiohttp/connector.py", line 542, in connect proto = await self._create_connection(req, traces, timeout) File "/opt/conda/lib/python3.8/site-packages/aiohttp/connector.py", line 907, in _createconnection , proto = await self._create_direct_connection(req, traces, timeout) File "/opt/conda/lib/python3.8/site-packages/aiohttp/connector.py", line 1206, in _create_direct_connection raise last_exc File "/opt/conda/lib/python3.8/site-packages/aiohttp/connector.py", line 1175, in _create_direct_connection transp, proto = await self._wrap_create_connection( File "/opt/conda/lib/python3.8/site-packages/aiohttp/connector.py", line 992, in _wrap_create_connection raise client_error(req.connection_key, exc) from exc aiohttp.client_exceptions.ClientConnectorError: Cannot connect to host github.com:443 ssl:default [Connection reset by peer]
The above exception was the direct cause of the following exception:
Traceback (most recent call last): File "/opt/conda/bin/clip-retrieval", line 8, in sys.exit(main()) File "/opt/conda/lib/python3.8/site-packages/clip_retrieval/cli.py", line 16, in main fire.Fire( File "/opt/conda/lib/python3.8/site-packages/fire/core.py", line 141, in Fire component_trace = _Fire(component, args, parsed_flag_args, context, name) File "/opt/conda/lib/python3.8/site-packages/fire/core.py", line 466, in _Fire component, remaining_args = _CallAndUpdateTrace( File "/opt/conda/lib/python3.8/site-packages/fire/core.py", line 681, in _CallAndUpdateTrace component = fn(*varargs, kwargs) File "/opt/conda/lib/python3.8/site-packages/clip_retrieval/clip_back.py", line 928, in clip_back clip_resources = load_clip_indices( File "/opt/conda/lib/python3.8/site-packages/clip_retrieval/clip_back.py", line 901, in load_clip_indices clip_resources[name] = load_clip_index(clip_options) File "/opt/conda/lib/python3.8/site-packages/clip_retrieval/clip_back.py", line 835, in load_clip_index get_aesthetic_embedding(clip_options.clip_model) if clip_options.provide_aesthetic_embeddings else None File "/opt/conda/lib/python3.8/site-packages/clip_retrieval/clip_back.py", line 662, in get_aestheticembedding for in pool.imap_unordered(get, range(10)): File "/opt/conda/lib/python3.8/multiprocessing/pool.py", line 868, in next raise value File "/opt/conda/lib/python3.8/multiprocessing/pool.py", line 125, in worker result = (True, func(args, kwds)) File "/opt/conda/lib/python3.8/site-packages/clip_retrieval/clip_back.py", line 656, in get with fs.open( File "/opt/conda/lib/python3.8/site-packages/fsspec/spec.py", line 1009, in open f = self._open( File "/opt/conda/lib/python3.8/site-packages/fsspec/implementations/http.py", line 343, in _open size = size or self.info(path, kwargs)["size"] File "/opt/conda/lib/python3.8/site-packages/fsspec/asyn.py", line 91, in wrapper return sync(self.loop, func, args, kwargs) File "/opt/conda/lib/python3.8/site-packages/fsspec/asyn.py", line 71, in sync raise return_result File "/opt/conda/lib/python3.8/site-packages/fsspec/asyn.py", line 25, in _runner result[0] = await coro File "/opt/conda/lib/python3.8/site-packages/fsspec/implementations/http.py", line 396, in _info raise FileNotFoundError(url) from exc FileNotFoundError: https://github.com/LAION-AI/aesthetic-predictor/blob/main/vit_b_32_embeddings/rating6.npy?raw=true
The environment of docker is as follows.
aiohttp 3.8.1 aiosignal 1.2.0 albumentations 1.1.0 aniso8601 9.0.1 argon2-cffi 21.3.0 argon2-cffi-bindings 21.2.0 asttokens 2.0.5 async-timeout 4.0.2 attrs 21.4.0 autofaiss 2.14.3 backcall 0.2.0 beautifulsoup4 4.11.1 bert-score 0.3.11 bleach 5.0.0 braceexpand 0.1.7 brotlipy 0.7.0 cachetools 5.1.0 certifi 2022.5.18.1 cffi 1.14.6 chardet 4.0.0 charset-normalizer 2.0.12 click 8.1.3 clip-anytorch 2.4.0 clip-retrieval 2.31.1 colorama 0.4.4 conda 4.13.0 conda-package-handling 1.7.3 cryptography 3.4.7 cycler 0.11.0 Cython 0.29.30 dataclasses 0.6 debugpy 1.6.0 decorator 5.1.1 defusedxml 0.7.1 docker-pycreds 0.4.0 embedding-reader 1.4.2 entrypoints 0.4 executing 0.8.3 ExifRead-nocycle 3.0.1 faiss-cpu 1.7.2 fastjsonschema 2.15.3 filelock 3.7.0 fire 0.4.0 Flask 2.1.2 Flask-Cors 3.0.10 Flask-RESTful 0.3.9 fonttools 4.33.3 frozenlist 1.3.0 fsspec 2022.1.0 ftfy 6.1.1 gitdb 4.0.9 GitPython 3.1.27 google-api-core 2.8.1 google-auth 2.6.6 google-cloud-core 2.3.0 google-cloud-translate 3.7.3 googleapis-common-protos 1.56.2 grpcio 1.46.3 grpcio-status 1.46.3 h5py 3.7.0 huggingface-hub 0.7.0 idna 2.10 imageio 2.19.2 img2dataset 1.30.1 importlib-metadata 4.11.4 importlib-resources 5.7.1 ipykernel 6.13.0 ipython 8.3.0 ipython-genutils 0.2.0 ipywidgets 7.7.0 itsdangerous 2.1.2 jedi 0.18.1 Jinja2 3.1.2 joblib 1.1.0 jsonschema 4.5.1 jupyter 1.0.0 jupyter-client 7.3.1 jupyter-console 6.4.3 jupyter-core 4.10.0 jupyterlab-pygments 0.2.2 jupyterlab-widgets 1.1.0 kiwisolver 1.4.2 langid 1.1.6 laserembeddings 1.1.2 MarkupSafe 2.1.1 matplotlib 3.5.2 matplotlib-inline 0.1.3 mistune 0.8.4 mkl-fft 1.3.1 mkl-random 1.2.2 mkl-service 2.4.0 mock 4.0.3 multidict 6.0.2 nbclient 0.6.3 nbconvert 6.5.0 nbformat 5.4.0 nest-asyncio 1.5.5 networkx 2.8.2 nltk 3.7 notebook 6.4.11 numpy 1.22.3 open-clip-torch 1.2.1 opencv-python 4.5.5.64 opencv-python-headless 4.5.5.64 packaging 21.3 pandas 1.4.2 pandocfilters 1.5.0 parso 0.8.3 pathtools 0.1.2 pexpect 4.8.0 pickleshare 0.7.5 Pillow 9.0.1 pip 21.1.3 portalocker 2.4.0 prometheus-client 0.14.1 promise 2.3 prompt-toolkit 3.0.29 proto-plus 1.20.5 protobuf 3.20.1 psutil 5.9.1 ptyprocess 0.7.0 pure-eval 0.2.2 py-rouge 1.1 py4j 0.10.9.3 pyarrow 7.0.0 pyasn1 0.4.8 pyasn1-modules 0.2.8 pycosat 0.6.3 pycparser 2.20 Pygments 2.12.0 pyOpenSSL 20.0.1 pyparsing 3.0.9 pyrsistent 0.18.1 PySocks 1.7.1 pyspark 3.2.1 python-dateutil 2.8.2 pytz 2022.1 PyWavelets 1.3.0 PyYAML 6.0 pyzmq 23.0.0 qtconsole 5.3.0 QtPy 2.1.0 qudida 0.0.4 regex 2022.4.24 requests 2.27.1 rsa 4.8 ruamel-yaml-conda 0.15.100 ruamel.yaml 0.17.21 ruamel.yaml.clib 0.2.6 sacrebleu 2.1.0 sacremoses 0.0.35 scikit-image 0.19.2 scikit-learn 1.1.1 scipy 1.8.1 Send2Trash 1.8.0 sentence-transformers 2.2.0 sentencepiece 0.1.96 sentry-sdk 1.5.12 setproctitle 1.2.3 setuptools 52.0.0.post20210125 shortuuid 1.0.9 six 1.16.0 smmap 5.0.0 SoundFile 0.10.3.post1 soupsieve 2.3.2.post1 stack-data 0.2.0 stanfordcorenlp 3.9.1.1 subword-nmt 0.3.8 tabulate 0.8.9 termcolor 1.1.0 terminado 0.15.0 threadpoolctl 3.1.0 tifffile 2022.5.4 timm 0.5.4 tinycss2 1.1.1 tokenizers 0.12.1 torch 1.10.1 torchaudio 0.10.1 torchvision 0.11.2 tornado 6.1 tqdm 4.62.3 traitlets 5.2.1.post0 transformers 4.19.2 transliterate 1.10.2 typing-extensions 4.1.1 urllib3 1.26.6 vizseq 0.1.15 wandb 0.12.17 wcwidth 0.2.5 webdataset 0.1.103 webencodings 0.5.1 Werkzeug 2.1.2 wheel 0.36.2 widgetsnbextension 3.6.0 yarl 1.7.2 zipp 3.8.0
If you have any idea on the cause of this problem, please let me know.
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takusaitoh
Hi!
I ran the code below in jupyter notebook.
After that, the following error was output.
The environment of docker is as follows.
If you have any idea on the cause of this problem, please let me know.