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Add example on freeze_data_and_dims #7594

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Nov 28, 2024
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Add example on freeze_data_and_dims #7594

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9f50d37
Add example on freeze_data_and_dims
ricardoV94 Nov 27, 2024
b96cf55
Split model transform in API listing
ricardoV94 Nov 27, 2024
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Add example on freeze_data_and_dims
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@ricardoV94
ricardoV94 committed Nov 27, 2024
commit 9f50d37f2ffba5610079aaae79e26efea194784c
22 changes: 22 additions & 0 deletions pymc/model/transform/optimization.py
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Expand Up @@ -57,6 +57,28 @@ def freeze_dims_and_data(
-------
Model
A new model with the specified dimensions and data frozen.


Examples
--------
.. code-block:: python

import pymc as pm
import pytensor.tensor as pt

from pymc.model.transform.optimization import freeze_dims_and_data

with pm.Model() as m:
x = pm.Data("x", [0, 1, 2] * 1000)
y = pm.Normal("y", mu=pt.unique(x).mean())

# pt.unique(x).mean() has to be computed in every logp function evaluation
print("Logp eval time (1000x): ", m.profile(m.logp()).fct_call_time)

# pt.uniqe(x).mean() is cached in the logp function
frozen_m = freeze_dims_and_data(m)
print("Logp eval time (1000x): ", frozen_m.profile(frozen_m.logp()).fct_call_time)

"""
fg, memo = fgraph_from_model(model)

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