I am working on a deep learning project in a Jupyter notebook. After installing TensorFlow and attempting to load it, the import process takes an excessively long time, sometimes over 6 minutes without completing. Even when I try importing only specific functions from TensorFlow, I encounter the same problem. I have attempted several troubleshooting steps to resolve this issue.
- I tried reinstalling TensorFlow multiple times and using different versions, but the problem persists.
- I reinstalled Jupyter and ran the import statement again, but the kernel continues to die consistently.
- I also attempted using a Conda environment, but the issue remains unresolved in this setup as well.
Interestingly, when I switched to using Google Colab, the TensorFlow import works properly without any delays or crashes. This indicates that the problem might be specific to my local setup. Despite following various online suggestions and documentation, I have been unable to fix the issue on my local machine.
For context, here are two screenshots showing the problem:
- In VS Code
- In Jupyter Notebook
In both environments, the import process either takes an unreasonably long time or results in a kernel crash. I would greatly appreciate any insights or solutions to resolve this issue. Has anyone else experienced similar problems, and if so, how did you manage to fix them?