The app-server don't send any response about labml HOT 10 CLOSED

I assume you're running the server on your local machine. Could you please check the memory/CPU usage while the server is running? The FastAPI server logs you provided indicate that error code 134 might be due to insufficient resources.

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Hello, I am running this on my server with ssh. My CPU model is Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz, RAM is 128GB and I am not running any other resource consuming applications.

I have observed the CPU and memory usage using htop and it looks like there are no anomalies in resource usage.

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Thanks, could you please verify if MongoDB is installed and running on the default port (27017)? Additionally, could you provide details about the operating system?

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Sorry, I observed the service in running state after installing MongoDB and assumed it was working fine, when in fact for some reason it quit unexpectedly. I restarted MongoDB and it worked.

Thank you for your help, this is now resolved but I still have two minor issues.

1. The first one is that I have configured the following configuration item in .labml.yaml, based on the pypi and guides:

web_api: 'http://localhost:5005/api/v1/track?'

But it shows

LABML WARNING: Method Not Allowed 405: http://localhost:5005/api/v1/track?run_uuid=0b405056f0c811ee902521fc9abb02ad&rank=0&world_ size=0&labml_version=0.4.168.

I'm guessing it might be caused by different versions of different components of labml not adapting?

2. The second question is, if I have completed a training session and the logs folder has not been artificially modified since the training, can I still see the entire training process from the browser?

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Glad that your problem is solved now.

1. I think you need to update the labml pip package
2. All the data to view training progress in the browser is kept in a mongodb database, so you should able to view the training progress in the browser, But it should also save in the log folder.

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Thank you for your help! I have no further questions and I will close this issue.

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Thank you for your help.

I have solved my problem, but I have some suggestions. The latest version of labml-nn is currently 0.4.136, which is incompatible with the latest versions of labml (0.5.1) and labml-app (0.5.2). If the user uses pip install labml-app labml labml-nn for installation, it will result in an exception.

Also, different versions of labml use different configuration files, e.g. web_api in some versions, app_url in others, and I haven't found a complete documentation on which configuration file should be used for that version,.

I'm not sure what the URL of that configuration file should be for each version, Sometime it is http://localhost:5005/api/v1/track?,sometimes it is http://localhost:5005/api/v1/default.

Your work has greatly facilitated my development tasks, thank you again!

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We have updated the Readme.md with the latest configuration.

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We have updated the Readme.md with the latest configuration.

Yes, but the instructions in README.md apply to the latest version of labml(0.5.1) and labml-app(0.5.2). However, the latest version of labml-nn(0.4.136) does not adapt to the latest version of labml.

I am trying to run switch transfomers, and if I use the latest version of labml-nn as well as the latest version of labml, these codes report an error, so I have to use an older version of labml as well as an older version of labml-app, but I don't know where the documentation is for these older versions.

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@vpj

We have updated the Readme.md with the latest configuration.

Yes, but the instructions in README.md apply to the latest version of labml and labml-app. However, the latest version of labml-nn does not adapt to the latest version of labml.

I am trying to run switch transfomers, and if I use the latest version of labml-nn as well as the latest version of labml, these codes report an error, so I have to use an older version of labml as well as an older version of labml-app, but I don't know where the documentation is for these older versions.

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