urllib.error.URLError: <urlopen error Tunnel connection failed: 403 Forbidden

[swing148]

Hello,your work is great ! *^_^*But,When I was running this code, this error occurred.
code:
python train.py --outdir models/ --data datasets/AnimalFace-dog.zip --kimg 4000 --cfg stylegan3-t --gpus 2 --gamma 10 \ --batch 16 --cv input-clip-output-conv_multi_level --cv-loss multilevel_sigmoid_s --mirror 1 --aug ada --warmup 5e5
error:
Constructing networks...
Traceback (most recent call last):
File "/root/.local/conda/envs/stylegan3/lib/python3.9/urllib/request.py", line 1346, in do_open
h.request(req.get_method(), req.selector, req.data, headers,
File "/root/.local/conda/envs/stylegan3/lib/python3.9/http/client.py", line 1285, in request
self._send_request(method, url, body, headers, encode_chunked)
File "/root/.local/conda/envs/stylegan3/lib/python3.9/http/client.py", line 1331, in _send_request
self.endheaders(body, encode_chunked=encode_chunked)
File "/root/.local/conda/envs/stylegan3/lib/python3.9/http/client.py", line 1280, in endheaders
self._send_output(message_body, encode_chunked=encode_chunked)
File "/root/.local/conda/envs/stylegan3/lib/python3.9/http/client.py", line 1040, in _send_output
self.send(msg)
File "/root/.local/conda/envs/stylegan3/lib/python3.9/http/client.py", line 980, in send
self.connect()
File "/root/.local/conda/envs/stylegan3/lib/python3.9/http/client.py", line 1447, in connect
super().connect()
File "/root/.local/conda/envs/stylegan3/lib/python3.9/http/client.py", line 956, in connect
self._tunnel()
File "/root/.local/conda/envs/stylegan3/lib/python3.9/http/client.py", line 930, in _tunnel
raise OSError(f"Tunnel connection failed: {code} {message.strip()}")
OSError: Tunnel connection failed: 403 Forbidden

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/root/GANs/vision-aided-gan-main/./stylegan3/train.py", line 326, in
main() # pylint: disable=no-value-for-parameter
File "/root/.local/conda/envs/stylegan3/lib/python3.9/site-packages/click/core.py", line 1128, in call
return self.main(*args, **kwargs)
File "/root/.local/conda/envs/stylegan3/lib/python3.9/site-packages/click/core.py", line 1053, in main
rv = self.invoke(ctx)
File "/root/.local/conda/envs/stylegan3/lib/python3.9/site-packages/click/core.py", line 1395, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/root/.local/conda/envs/stylegan3/lib/python3.9/site-packages/click/core.py", line 754, in invoke
return callback(*args, **kwargs)
File "/root/GANs/vision-aided-gan-main/./stylegan3/train.py", line 321, in main
launch_training(c=c, desc=desc, outdir=opts.outdir, dry_run=opts.dry_run)
File "/root/GANs/vision-aided-gan-main/./stylegan3/train.py", line 98, in launch_training
subprocess_fn(rank=0, c=c, temp_dir=temp_dir)
File "/root/GANs/vision-aided-gan-main/./stylegan3/train.py", line 48, in subprocess_fn
training_loop.training_loop(rank=rank, **c)
File "/root/GANs/vision-aided-gan-main/stylegan3/training/training_loop.py", line 167, in training_loop
cvD = dnnlib.util.construct_class_by_name(**cvD_kwargs, device=device).train().requires_grad(False).to(device)
File "/root/GANs/vision-aided-gan-main/stylegan3/dnnlib/util.py", line 303, in construct_class_by_name
return call_func_by_name(*args, func_name=class_name, **kwargs)
File "/root/GANs/vision-aided-gan-main/stylegan3/dnnlib/util.py", line 298, in call_func_by_name
return func_obj(*args, **kwargs)
File "/root/.local/lib/python3.9/site-packages/vision_aided_loss/cv_discriminator.py", line 98, in init
self.cv_ensemble = CVBackbone(cv_type, output_type, diffaug=diffaug, device=device)
File "/root/.local/lib/python3.9/site-packages/vision_aided_loss/cvmodel.py", line 207, in init
model = model(cv_type=cv_type).requires_grad_(False).to(device)
File "/root/.local/lib/python3.9/site-packages/vision_aided_loss/cvmodel.py", line 97, in init
self.model, _ = clip.load("ViT-B/32", jit=False, device='cpu')
File "/root/.local/lib/python3.9/site-packages/vision_aided_loss/CLIP/clip/clip.py", line 118, in load
model_path = _download(_MODELS[name], download_root or os.path.expanduser("~/.cache/clip"))
File "/root/.local/lib/python3.9/site-packages/vision_aided_loss/CLIP/clip/clip.py", line 57, in _download
with urllib.request.urlopen(url) as source, open(download_target, "wb") as output:
File "/root/.local/conda/envs/stylegan3/lib/python3.9/urllib/request.py", line 214, in urlopen
return opener.open(url, data, timeout)
File "/root/.local/conda/envs/stylegan3/lib/python3.9/urllib/request.py", line 517, in open
response = self._open(req, data)
File "/root/.local/conda/envs/stylegan3/lib/python3.9/urllib/request.py", line 534, in _open
result = self._call_chain(self.handle_open, protocol, protocol +
File "/root/.local/conda/envs/stylegan3/lib/python3.9/urllib/request.py", line 494, in _call_chain
result = func(*args)
File "/root/.local/conda/envs/stylegan3/lib/python3.9/urllib/request.py", line 1389, in https_open
return self.do_open(http.client.HTTPSConnection, req,
File "/root/.local/conda/envs/stylegan3/lib/python3.9/urllib/request.py", line 1349, in do_open
raise URLError(err)
urllib.error.URLError: <urlopen error Tunnel connection failed: 403 Forbidden>

How to solve this problem？？？>_<

[nupurkmr9]

Hi,

Thanks for the interest in our work.
I am not facing this issue consistently but faced it only once. Thus, it might be related to the number of requests made to the CLIP repo at any point of time.

If you are still facing this issue, one solution is to install CLIP using pip install git+https://github.com/openai/CLIP.git and try the below command repeatedly to save the ViT-B/32 model at ~HOME/.cache/clip/ViT-B-32.pt.

import clip
model, preprocess = clip.load("ViT-B/32", device='cpu')

Sorry for the delayed response. Hope this helps.