Unable to download pretrain model.HTTP error 409
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评估
- 难度
- 3/5
- 预计耗时
- 1-2 天
- 新手友好度
- 35/100
- Issue 类型
- 缺陷
- 描述清晰度
- 基本清楚
- 活跃度
- 停滞
- 技术栈
- python, pytorch
调研方向
从 graphormer/pretrain/init.py 开始，重点检查 load_pretrained_model 以及在运行 graphormer/evaluate/evaluate.py 时使用的 PRETRAINED_MODEL_URLS 条目。检查已配置的 checkpoint URL 并运行 evaluate.py；完成的标准是 pretrained model 能够在不出现 HTTP 409 的情况下下载，并且评估能够继续进行到模型加载之后。
由索引模型根据 Issue 内容生成。
描述
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?
- 主要语言
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