Comments (5)
Appears to be due to google/jax#18989
from pymc-experimental.
Is the histogram functionality using JAX @ferrine? I can't find any evidence for that, but the JAX warning comes from the histogram tests
from pymc-experimental.
I think it's related to pm.sample
, not histogram. There are test in test_linear_model
and test_model_builder
that are also failing because they call pm.sample
.
We maybe have to split up the CI so that JAX dependencies are run separately and in JAX mode, like PyMC does
from pymc-experimental.
So if JAX is loaded it will issue a warning on os.fork
even if it's not being used?
from pymc-experimental.
Then let's just ignore the warning, it's stupid
from pymc-experimental.
Related Issues (20)
- Error messages when using the pymc or nutpie NUTS samplers in combination with pymc-experimental HOT 8
- MarginalModel fails with Data containers
- `MarginalModel.unmarginalize` doesn't accept `var_names` HOT 2
- `recover_marginals` should have a progress bar
- Support marginalization of HMM with higher lag orders
- In model_builder, _validate_data changes input type HOT 1
- MarginalModel freezes mutable dim lengths HOT 1
- ModelBuilder not work HOT 1
- new `pymc` version breaks import of `pymc_experimental` HOT 10
- New error message when building statespace_graph HOT 11
- sample_smc HOT 7
- closed
- Add support for DiscreteMarkovChain to `MarginalModel.recover_marginals`
- Add specialized step sampler for DiscreteMarkovChain
- Is P0 the initial state covariance matrix or the square root of the initial state covariance matrix? HOT 7
- Persistent issue with state disturbance variances versus state disturbance standard deviations
- CI fails after pymc-devs/pymc#7211 and pymc-devs/pymc#7238
- Add support for long tails (and other distributions) to prior_from_idata HOT 8
- Bug in `get_domain_of_finite_discrete_rv` of `Categorical`
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from pymc-experimental.