Allow interdependent initial points from same OpFromGraph node #7569
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It is not part of the API that variables must be registered in topological order
ricardoV94
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #7569 +/- ##
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Coverage 92.83% 92.83%
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Files 106 106
Lines 17669 17681 +12
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+ Hits 16403 16415 +12
Misses 1266 1266
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zaxtax
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Nov 15, 2024
| @@ -187,6 +193,40 @@ def test_string_overrides_work(self): | |||
| assert np.isclose(iv["B_log__"], 0) | |||
| assert iv["C_log__"] == 0 | |||
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| @pytest.mark.parametrize("reverse_rvs", [False, True]) | |||
| def test_dependent_initval_from_OFG(self, reverse_rvs): | |||
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Is this test indicative of why this features is need for the other PR?
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This is needed to allow proper initival support of Marginalized variables in pymc-devs/pymc-experimental#388, where multiple interdependent variables may become collapsed in a single node. We want initial values replacements to still propagate across these dependencies.
To achieve that the initial point machinery now makes use of
toposort_replace(instead of assuming model variables are provided in a topological order) and the utility itself is expanded to untie variables coming from the same OpFromGraph node📚 Documentation preview 📚: https://pymc--7569.org.readthedocs.build/en/7569/