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我最近安装了权重和偏差 (wandb) 来记录我的机器学习项目的指标。连接到 wandb 云实例或使用本地 docker 映像时,一切正常。现在,当我尝试通过网络访问本地 wandb 实例时,我开始收到 API 错误消息。但是,我也注意到 wandb 试图使用端口 80 而不是 8080 访问我的服务器。我在新的云服务器上安装了 wandb 客户端并尝试从那里访问我的服务器。仍然,下面显示相同的错误消息。

使用命令时会出现此错误:wandb login host=https://api.wandb.ai 我已尝试删除存储 api 设置并重新安装 wandb 的 .netrc 文件。还是一样的错误。在 Ubuntu 18.04 上使用 wandb 版本 0.10.2;此外,尝试降级到版本 0.8.36,没有变化。如果我尝试命令:wandb login --relogin,我会得到同样的错误。

有没有办法重置 wandb 让它忘记所有这些设置,或者直接解决这个问题?

非常感谢

此致,

阿德尔

Retry attempt failed:
Traceback (most recent call last):
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/urllib3/connection.py", line 160, in _new_conn
    (self._dns_host, self.port), self.timeout, **extra_kw
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/urllib3/util/connection.py", line 84, in create_connection
    raise err
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/urllib3/util/connection.py", line 74, in create_connection
    sock.connect(sa)
ConnectionRefusedError: [Errno 111] Connection refused

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/urllib3/connectionpool.py", line 677, in urlopen
    chunked=chunked,
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/urllib3/connectionpool.py", line 392, in _make_request
    conn.request(method, url, **httplib_request_kw)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/http/client.py", line 1277, in request
    self._send_request(method, url, body, headers, encode_chunked)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/http/client.py", line 1323, in _send_request
    self.endheaders(body, encode_chunked=encode_chunked)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/http/client.py", line 1272, in endheaders
    self._send_output(message_body, encode_chunked=encode_chunked)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/http/client.py", line 1032, in _send_output
    self.send(msg)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/http/client.py", line 972, in send
    self.connect()
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/urllib3/connection.py", line 187, in connect
    conn = self._new_conn()
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/urllib3/connection.py", line 172, in _new_conn
    self, "Failed to establish a new connection: %s" % e
urllib3.exceptions.NewConnectionError: <urllib3.connection.HTTPConnection object at 0x7f0a26b54c50>: Failed to establish a new connection: [Errno 111] Connection refused

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/requests/adapters.py", line 449, in send
    timeout=timeout
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/urllib3/connectionpool.py", line 727, in urlopen
    method, url, error=e, _pool=self, _stacktrace=sys.exc_info()[2]
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/urllib3/util/retry.py", line 439, in increment
    raise MaxRetryError(_pool, url, error or ResponseError(cause))
urllib3.exceptions.MaxRetryError: HTTPConnectionPool(host='34.71.47.117', port=80): Max retries exceeded with url: /graphql (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7f0a26b54c50>: Failed to establish a new connection: [Errno 111] Connection refused'))

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/wandb/old/retry.py", line 96, in __call__
    result = self._call_fn(*args, **kwargs)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/wandb/internal/internal_api.py", line 128, in execute
    return self.client.execute(*args, **kwargs)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/wandb/vendor/gql-0.2.0/gql/client.py", line 52, in execute
    result = self._get_result(document, *args, **kwargs)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/wandb/vendor/gql-0.2.0/gql/client.py", line 60, in _get_result
    return self.transport.execute(document, *args, **kwargs)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/wandb/vendor/gql-0.2.0/gql/transport/requests.py", line 38, in execute
    request = requests.post(self.url, **post_args)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/requests/api.py", line 119, in post
    return request('post', url, data=data, json=json, **kwargs)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/requests/api.py", line 61, in request
    return session.request(method=method, url=url, **kwargs)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/requests/sessions.py", line 530, in request
    resp = self.send(prep, **send_kwargs)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/requests/sessions.py", line 643, in send
    r = adapter.send(request, **kwargs)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/requests/adapters.py", line 516, in send
    raise ConnectionError(e, request=request)
requests.exceptions.ConnectionError: HTTPConnectionPool(host='34.71.47.117', port=80): Max retries exceeded with url: /graphql (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7f0a26b54c50>: Failed to establish a new connection: [Errno 111] Connection refused'))
wandb: Network error (ConnectionError), entering retry loop. See wandb/debug-internal.log for full traceback.
Traceback (most recent call last):
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/bin/wandb", line 8, in <module>
    sys.exit(cli())
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/click/core.py", line 829, in __call__
    return self.main(*args, **kwargs)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/click/core.py", line 782, in main
    rv = self.invoke(ctx)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/click/core.py", line 1259, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/click/core.py", line 1066, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/click/core.py", line 610, in invoke
    return callback(*args, **kwargs)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/wandb/cli/cli.py", line 72, in wrapper
    return func(*args, **kwargs)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/wandb/cli/cli.py", line 212, in login
    wandb.login(relogin=relogin, key=key, anonymous=anon_mode, host=host, force=True)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/wandb/sdk/wandb_login.py", line 29, in login
    anonymous=anonymous, key=key, relogin=relogin, host=host, force=force
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/wandb/sdk/wandb_login.py", line 128, in _login
    apikey.write_key(settings, key)
  File "/media/adeel/Space/AI/anaconda3/envs/tf2_gpu/lib/python3.7/site-packages/wandb/lib/apikey.py", line 223, in write_key
    raise ValueError("API key must be 40 characters long, yours was %s" % len(key))
ValueError: API key must be 40 characters long, yours was 26
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1 回答 1

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我是 Weights & Biases 的工程师——我很乐意帮助解决这个问题。

如果要重置设置,可以执行以下操作:

  1. .netrc正如您已经完成的那样,从您的文件中删除相应的条目。
  2. wandb/settings从您启动脚本的位置删除文件。

然后您可以访问此链接:https ://wandb.ai/authorize并复制您的 API 密钥。

然后,运行以下命令:

wandb login <API_KEY>

完成此操作后,您应该一切顺利。如果您在运行上述步骤后仍然遇到问题,请告诉我。

于 2020-11-11T04:54:22.750 回答