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[Doc] Describe how to manage multithreading #1045

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[Doc] Describe how to manage multithreading #1045

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[Doc] Describe how to manage multithreading
royjacobson Nov 11, 2024
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[DOC] Add torch.set_num_threads
royjacobson Nov 11, 2024
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8 changes: 8 additions & 0 deletions docs/faq.rst
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Expand Up @@ -56,3 +56,11 @@ FAQ
to run, depending on computer hardware specifications. Cellpose will take a long time to run on large images.
Using hardware with a faster CPU and with more available memory will speed up the process. Using a GPU will
also speed up the process, especially if you are training with a large dataset.


**Q: How can I control the amount of threads cellpose is using?**

Under the hood, Cellpose is using PyTorch for parallelization. Number of threads for PyTorch can be set
using `torch.set_num_threads <https://pytorch.org/docs/stable/generated/torch.set_num_threads.html>`_ or through the environment
variables ``OMP_NUM_THREADS`` or ``MKL_NUM_THREADS`` as described
`here <https://pytorch.org/docs/stable/threading_environment_variables.html>`_.