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**Describe the bug**
Really simple one I hope. When I try to write `to_netcdf()` I get
```
UserWarning: h5py is running against HDF5 1.14.3 when it was built against 1.14.2, this may cause pro…
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### Before
```python
import pytensor.tensor as pt
# Need to
a = pt.vector("a", shape=(2, ))
b = pt.vector("b", shape=(3, ))
# a + b fails due to broadcasting
# Transpose required
result…
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### Before
Currently, this graph has valid gradients with respect to `mu` and `sigma`:
```python
mu = pt.dscalar('mu')
sigma = pt.dscalar('sigma')
epsilon = pt.random.normal(0, 1)
z = mu + s…
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### Describe the issue:
I recently encountered an issue when trying to add constant data to some of my models.
When sampling with `nuts_sampler="pymc"`, `idata` contains a group denominated as `…
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See errors below:
```
==================================================================================================== ERRORS ==================================================================…
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**Describe the bug**
When using `plot_trace` with idata generated using a model with coordinates, the legend does not reflect the coordinate names but something completely different (the chains line …
lciti updated
5 months ago
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Hi! It would be awesome to have the ability to have a `xt::rusttensor` much like `xt::pytensor`. Is there any interest in adding rust as a supported language, and what would something like that look l…
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Right now we have `grad`, `L_op`, `R_op`.
## Deprecate `grad` in favor of `L_op`:
`grad` is exactly the same as `L_op` except it doesn't have access to the outputs of the node that is being diff…
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### Describe the issue:
`pytensor.tensor.random.utils.params_broadcast_shapes` says that it performs numpy broadcasting on shape tuples. This works kind of fine, unless the shapes are not broadcastab…
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This is a question/idea concerning the xtensor/python wrapping.
I was wondering if the following way I'm currently interfacing `xt::xarray` to numpy arrays in python is somehow valid and not an abo…