TypeError on import TypeError: data type "float128" not understood about pymc-resources HOT 8 CLOSED

I'm getting this on MacOS (M1 hardware) using miniforge. This is with NumPy 1.21.0.

ImportError while loading conftest '/Users/cfonnesbeck/GitHub/pymc3/pymc3/tests/conftest.py'.
pymc3/__init__.py:82: in <module>
    from pymc3 import gp, ode, sampling
pymc3/gp/__init__.py:16: in <module>
    from pymc3.gp.gp import TP, Latent, LatentKron, Marginal, MarginalKron, MarginalSparse
pymc3/gp/gp.py:25: in <module>
    from pymc3.distributions import draw_values
pymc3/distributions/__init__.py:15: in <module>
    from pymc3.distributions import shape_utils, timeseries, transforms
pymc3/distributions/timeseries.py:21: in <module>
    from pymc3.distributions import distribution, multivariate
pymc3/distributions/multivariate.py:35: in <module>
    from pymc3.distributions.continuous import ChiSquared, Normal
pymc3/distributions/continuous.py:30: in <module>
    from pymc3.distributions.dist_math import (
pymc3/distributions/dist_math.py:49: in <module>
    np.nextafter(0, 1, dtype="float128"),
E   TypeError: data type 'float128' not understood

from pymc-resources.

I'm seeing this also. The most recent release of pymc3 that's available through conda on m1 is 3.9.3, because the versions of theano-pymc required for later versions of pymc3 aren't available for m1. At least that's what conda is telling me.

I was able to workaround this by downgrading pymc3 to 3.8.

Edit: theano-pymc and therefore pymc3 3.11.4 are now available on conda for m1, so I think this issue is resolved.

from pymc-resources.

For reference, on macOS ARM64 (Apple Silicon M1), float128 is not supported on numpy (at least when installed from conda-forge):

>>> import numpy as np
>>> np.dtype("float128")
Traceback (most recent call last):
  File "<ipython-input-5-10c53c28af62>", line 1, in <module>
    np.dtype("float128")
TypeError: data type 'float128' not understood

So it would be great to make float128 support an optional requirement for PyMC3 and pymc.

from pymc-resources.

Hi,
That's strange -- it works for me 🤔
Do you know which versions of python and numpy are on your env?

from pymc-resources.

Hi
Thanks for your reply. I just checked and my Python is at 3.8.2. I suppose it's too recent? I directly installed from the yml file in the repo. It's strange. Numpy is 1.18.4

from pymc-resources.

Oh damn! It's a windows bug. Numpy under windows doesn't have a float128, we should use the longdouble dtype instead. That will be equal to float128 on Linux but it will equal float64 on windows. It we could even just remove float128. @karnn, could you please open an issue on pymc3? I'll fix it in the next few days.

from pymc-resources.

These OS bugs keep coming 🤦 It's indeed related to your latest PR @lucianopaz.
Assign me to review the fix when you submit it -- or tell me if you don't have time in the coming days and I can take a stab (looks pretty simple).
Closing this in favor of the issue on PyMC repo.

from pymc-resources.

Which version are you using? If I recall correctly our next release dos not use float128 anywhere, so it should not be a problem.

from pymc-resources.