-
Notifications
You must be signed in to change notification settings - Fork 30
Issues: jax-ml/ml_dtypes
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Author
Label
Projects
Milestones
Assignee
Sort
Issues list
np.testing.assert_array_equal()
not compatible with bfloat16 when the value is nan
#206
opened Sep 23, 2024 by
ayaka14732
Type promotion behavior with Python scalars changed with NumPy 2
#189
opened Sep 13, 2024 by
hawkinsp
Compilation Error in libtensorflow Pointing to float8.h in ml_dtype
#144
opened Apr 1, 2024 by
HongMJ1315
Custom floats do not respect Something isn't working
np.set_printoptions
bug
#125
opened Dec 5, 2023 by
jakevdp
Make a 1.0 release and follow semantic versioning for breaking changes
enhancement
New feature or request
#111
opened Oct 6, 2023 by
hawkinsp
Feature Request: 8 bit fixed point numbers
contributions welcome
We welcome community contributions for this issue!
enhancement
New feature or request
#67
opened May 7, 2023 by
jenkspt
Support np.testing.assert_array_max_ulp
contributions welcome
We welcome community contributions for this issue!
enhancement
New feature or request
#56
opened Apr 6, 2023 by
mrahtz
bfloat16 & other custom dtypes incompatible with np.save
bug
Something isn't working
#41
opened Mar 23, 2023 by
jakevdp
ProTip!
Exclude everything labeled
bug
with -label:bug.