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Attempts to build the tensorflow GPU kernel image using make kernel-tf-gpu-py fail with the following:
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#6 4.860 W: GPG error: https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 InRelease: The following signatures couldn't be verified because the public key is not available: NO_PUBKEY A4B469963BF863CC
#6 4.860 E: The repository 'https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 InRelease' is no longer signed.
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executor failed running [/bin/bash -c apt-get update && apt-get install -yq build-essential libsm6 libxext-dev libxrender1 netcat python3-dev tzdata unzip && rm -rf /var/lib/apt/lists/* && pip install --upgrade future pycryptodomex ipykernel]: exit code: 100
make[1]: *** [../.image-kernel-tf-gpu-py] Error 1
make: *** [kernel-tf-gpu-py] Error 2
This is because the public key was updated this past April. As a result, we need to update the base image for elyra/kernel-tf-gpu-py to include a more up-to-date version. While testing these changes, I also found we don't need to have a Jupyter server baked into the image via the -jupyter suffix (which we were using previously). This saves another 70MB on the image size (although that amount pales in comparison to the overall size).
We're also bumping the Python version from 2.7 to 2.9.
Attempts to build the tensorflow GPU kernel image using
make kernel-tf-gpu-pyfail with the following:This is because the public key was updated this past April. As a result, we need to update the base image for
elyra/kernel-tf-gpu-pyto include a more up-to-date version. While testing these changes, I also found we don't need to have a Jupyter server baked into the image via the-jupytersuffix (which we were using previously). This saves another 70MB on the image size (although that amount pales in comparison to the overall size).We're also bumping the Python version from 2.7 to 2.9.