FAQ

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Unable to locate config file

This happens when your current Python environment is different from the Python path Beam was installed in. Often happens while working in virtualenvs.

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Solution

1. Check which Python environment you’re working in: which python. This will print something like /Users/eli/miniconda3/bin/python.
2. Install Beam in that environment: [YOUR PYTHON PATH] -m pip install --upgrade beam-sdk
3. Validate the installation by running beam

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Could not load dynamic library

Running Tensorflow models will sometimes result in the following error:

Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib/x86_64-linux-gnu:/usr/lib/worker/x86_64-linux-gnu:/usr/local/nvidia/lib64:/usr/local/cuda-12.2/targets/x86_64-linux/lib:$LD_LIBRARY_PATH

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Solution

Add LD_LIBRARY_PATH=/usr/local/lib/python3.10/dist-packages/nvidia/cudnn to your Beam handler function.

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Could not load library libcudnn

Sometimes Whisper and other speech models will produce the following error:

Could not load library libcudnn_ops_infer.so.8. Error: libcudnn_ops_infer.so.8: cannot open shared object file: No such file or directory
Please make sure libcudnn_ops_infer.so.8 is in your library path!

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Solution

Add this to your commands field in beam.App.Runtime.Image:

commands=[
    "apt-get update && apt-get install wget"
    " && wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.1-1_all.deb",
    "dpkg -i cuda-keyring_1.1-1_all.deb",
    "lsb_release -a && apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y ffmpeg libpq-dev cuda=11.8.0-1 libcudnn8=8.9.2.*-1+cuda11.8",
]

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Using Poetry with Beam

We don’t currently support importing requirements from pyproject.toml.

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Solution

If you’re using Poetry, you should export your requirements to a requirements.txt and link the path in your python_packages field in beam.App.Runtime.Image.

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Unable to package app

When you deploy an app to Beam, we create a .zip folder with the files in your current working directory. This .zip is limited to 500Mb.

In practice, deployment packages should be much smaller than 500Mb.

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Solution

This error typically occurs when you haven’t added a .beamignore file to your project. Adding a .beamignore will prevent unneeded files from being included in your deployment package.

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Invalid JSON Offset

This error is raised by the JSON parser. This sometimes happens when your JSON syntax is incorrect.

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Solution

If you see this error, it’s best to double-check your JSON syntax through a JSON formatter, like this one.