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@robertdstein A similar trick is done for tensorflow installation on arm mac (in the recently added build steps), I am yet to write documentation on this. By any chance is this also trying to simplify the tensorflow installation.
This solves problems for many packages (e.g PyFFTW) found using the standard installation process. We did not test it for tensorflow specifically, so I have no idea whether this simplifies tensorflow too.
From working with LANL students installing NMMA on Macbooks, we found the following trick substantially simplified install/avoided the Arm 64 issues.
For either science user installation or developer installation, replace the line:
with:
The rest of the install steps should then proceed as normal.
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