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Kernel crashes when using tensorflow
Don Jayamanne edited this page May 9, 2022
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If a kernel crashes when using tensorflow
, this is indicative of tensorflow
having been incorrectly installed into the Python Environment.
Re-installing the package would resolve the issue.
If this does not work, it is also possible other dependent packages could cause the package to fall over, in such cases, its best to start out with a new environment.
Finally, when using Conda environments, please avoid using pip
to install packages, instead use conda install
.
Originally filed here https://github.com/microsoft/vscode-jupyter/issues/9283 and here https://github.com/microsoft/vscode-jupyter/issues/9157
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