1. Verify the Python Environment Jupyter is Using

Run this command in a Jupyter notebook cell: !which python

Compare the output with the Python environment where 'torch' is installed.

2. Install 'torch' in Jupyter's Environment

Run this command in a Jupyter notebook cell: !pip install torch

Or, if using 'conda': !conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia

3. Ensure the Jupyter Kernel Matches the Correct Python Environment

If you want Jupyter to use the Python environment where 'torch' is already installed:

Install the 'ipykernel' package in your Python environment: pip install ipykernel

Add your Python environment to Jupyter: python -m ipykernel install --user --name=myenv --display-name "Python (myenv)"

Replace 'myenv' with the name of your Python environment.

Restart Jupyter Lab and select the correct kernel:

Open Jupyter Lab. Go to the 'Kernel' menu > 'Change Kernel' > Select the kernel named "Python (myenv)". 4. Restart Jupyter Lab

After ensuring that 'torch' is installed in the correct environment or Jupyter is using the desired environment, restart Jupyter Lab and test again.