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I went through a lot of trouble compiling the cuda version, but ended up stuck on this error:
Installing collected packages: typing-extensions, numpy, MarkupSafe, diskcache, jinja2, llama-cpp-python
WARNING: The script f2py.exe is installed in 'C:\Users\a1832\AppData\Roaming\Python\Python310\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
scipy 1.9.1 requires numpy<1.25.0,>=1.18.5, but you have numpy 1.26.4 which is incompatible.
It's because of version conflict. but I don't want to downgrade numpy because it may cause problems in other dependencies. Is there a good solution? Can I use multiple versions of numpy( I think it's not possible) ? Or is docker a good choice(never used docker)?
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I went through a lot of trouble compiling the cuda version, but ended up stuck on this error:
It's because of version conflict. but I don't want to downgrade numpy because it may cause problems in other dependencies. Is there a good solution? Can I use multiple versions of numpy( I think it's not possible) ? Or is docker a good choice(never used docker)?
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