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not enough values to unpack in server.py #87
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I believe it's a bug. Will do a check. |
pip install the latest version and try again. https://github.com/hanxiao/bert-as-service#install |
sorry but i can't reproduce the error on some general suggestions:
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close due to inactivity |
Also the client hangs forever when server crashes even when timeout=5000 is set. |
@felixhao28 please do Better start a new issue and fill in the issue form, helping me to locate the problem faster. Note that |
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Like felixhao28 said, this issue is kind of random, which is probably why you could not reproduce it, at least not easily. However, it does happen every time for sure, at least for me. It's just a matter of how long it holds until it crashes. I use one server hosted on one GPU and let multiple programs query it at random frequency. You may want to reopen this issue and hope for more inputs from more users. I've not changed the default timeout, so I guess that's a separate issue. Thanks! |
@wanghm92 could you open a new issue and fill in the issue form, knowing the version and sys info can help me to understand problem much much faster. |
are you all encountering this problem on |
fyi, @felixhao28 pip install -U bert-serving-server bert-serving-client for the update. |
Thanks, we will try version 1.6.7 and report back to you later if the issue persists. |
could you please be more specific? Prerequisites
System information
Description
I'm using this command to start the server: bert-serving-start YOUR_SERVER_ARGS and calling the server via: bc = BertClient(YOUR_CLIENT_ARGS)
bc.encode() Then this issue shows up: ... |
my bert service version is 1.6.9 and the latest throwing bug is after i starting bert server several hours .i never send a request to the server |
huh? @yanzp0214 no request to the server and then it's down? I'm reopening this issue. |
Yeah~ |
Hello, I tried to run example5.py on a single-GPU ec2 instance. I set num of worker to 1.
After a few hours running, it will popup following errors:
on client (same instance, another session)
I tried twice, always the case. Do you have any suggestion? Thanks.
Also, usually how long it takes to finish the training of example5.py on a single-gpu machine?
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