microsoft / microsoft/Graphormer

Unable to download pretrain model.HTTP error 409

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Description

thanks for your delicate project.when I ran the evluate.py , it brake off at model-downloading stage. The error message was Traceback (most recent call last): File "/data/Graphormer/graphormer/evaluate/evaluate.py", line 130, in <module> main() File "/data/Graphormer/graphormer/evaluate/evaluate.py", line 120, in main eval(args, True, logger=logger) File "/data/Graphormer/graphormer/evaluate/evaluate.py", line 27, in eval model = task.build_model(cfg.model) File "/data/Graphormer/graphormer/tasks/graph_prediction.py", line 229, in build_model model = models.build_model(cfg, self) File "/data/fairseq/fairseq/models/__init__.py", line 105, in build_model return model.build_model(cfg, task) File "/data/Graphormer/graphormer/models/graphormer.py", line 149, in build_model return cls(args, encoder) File "/data/Graphormer/graphormer/models/graphormer.py", line 43, in __init__ self.load_state_dict(load_pretrained_model(args.pretrained_model_name)) File "/data/Graphormer/graphormer/pretrain/__init__.py", line 15, in load_pretrained_model return load_state_dict_from_url(PRETRAINED_MODEL_URLS[pretrained_model_name], progress=True)["model"] File "/opt/mamba/envs/graphormer/lib/python3.9/site-packages/torch/hub.py", line 571, in load_state_dict_from_url download_url_to_file(url, cached_file, hash_prefix, progress=progress) File "/opt/mamba/envs/graphormer/lib/python3.9/site-packages/torch/hub.py", line 437, in download_url_to_file u = urlopen(req) File "/opt/mamba/envs/graphormer/lib/python3.9/urllib/request.py", line 214, in urlopen return opener.open(url, data, timeout) File "/opt/mamba/envs/graphormer/lib/python3.9/urllib/request.py", line 523, in open response = meth(req, response) File "/opt/mamba/envs/graphormer/lib/python3.9/urllib/request.py", line 632, in http_response response = self.parent.error( File "/opt/mamba/envs/graphormer/lib/python3.9/urllib/request.py", line 561, in error return self._call_chain(*args) File "/opt/mamba/envs/graphormer/lib/python3.9/urllib/request.py", line 494, in _call_chain result = func(*args) File "/opt/mamba/envs/graphormer/lib/python3.9/urllib/request.py", line 641, in http_error_default raise HTTPError(req.full_url, code, msg, hdrs, fp) urllib.error.HTTPError: HTTP Error 409: Public access is not permitted on this storage account. (graphormer) root@bohrium-17396-1029993:/data/Graphormer/graphormer/evaluate# (graphormer) root@bohrium-17396-1029993:/data/Graphormer/graphormer/evaluate# vi /data/Graphormer/graphormer/pretrain/__init__.py (graphormer) root@bohrium-17396-1029993:/data/Graphormer/graphormer/evaluate# vi /data/Graphormer/graphormer/pretrain/__init__.py (graphormer) root@bohrium-17396-1029993:/data/Graphormer/graphormer/evaluate# wget https://ml2md.blob.core.windows.net/graphormer-ckpts/checkpoint_best_pcqm4mv1.pt --2023-07-21 15:07:36-- https://ml2md.blob.core.windows.net/graphormer-ckpts/checkpoint_best_pcqm4mv1.pt Resolving ml2md.blob.core.windows.net (ml2md.blob.core.windows.net)... 20.150.87.132 Connecting to ml2md.blob.core.windows.net (ml2md.blob.core.windows.net)|20.150.87.132|:443... connected. HTTP request sent, awaiting response... 409 Public access is not permitted on this storage account. 2023-07-21 15:07:37 ERROR 409: Public access is not permitted on this storage account..

When I download the model url https://ml2md.blob.core.windows.net/graphormer-ckpts/checkpoint_best_pcqm4mv1.pt manually using wget, it gave the same HTTP error.

My question is how could I fix the bug?

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start in graphormer/pretrain/init.py, especially load_pretrained_model and the PRETRAINED_MODEL_URLS entry used during graphormer/evaluate/evaluate.py. Check the configured checkpoint URL and run evaluate.py; done means the pretrained model downloads without HTTP 409 and evaluation proceeds past model loading.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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