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Various type inconsistencies

See original GitHub issue

Please consider adding jax.numpy.generic as an alias for numpy.generic (it seems to be missing). Also,

In [5]: jnp.issubdtype(jnp.bfloat16, jnp.inexact)
Out[5]: True

In [6]: issubclass(jnp.bfloat16, jnp.inexact)
Out[6]: False

In [7]: issubclass(np.float32, np.inexact)
Out[7]: True

Line 6 should probably return true, which means somehow registering the types like numpy does.

Issue Analytics

State:
Created 2 years ago
Comments:9 (4 by maintainers)

Top GitHub Comments

1reaction

jakevdpcommented, Feb 7, 2022

Anyway, for this issue, you’ve convinced me. I guess all that’s left is adding jnp.generic?

Sure – I’ll take care of that

0reactions

NeilGirdharcommented, Feb 7, 2022

Thanks!

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