Add jax dispatch for LUFactor

Author: jessegrabowski

pytensor/link/jax/dispatch/slinalg.py

@@ -8,6 +8,7 @@
     BlockDiagonal,
     Cholesky,
     Eigvalsh,
+    LUFactor,
     Solve,
     SolveTriangular,
 )
@@ -111,3 +112,16 @@ def lu(*inputs):
         )
 
     return lu
+
+
+@jax_funcify.register(LUFactor)
+def jax_funcify_LUFactor(op, **kwargs):
+    check_finite = op.check_finite
+    overwrite_a = op.overwrite_a
+
+    def lu_factor(*inputs):
+        return jax.scipy.linalg.lu_factor(
+            *inputs, check_finite=check_finite, overwrite_a=overwrite_a
+        )
+
+    return lu_factor

tests/link/jax/test_slinalg.py

@@ -12,6 +12,7 @@
 from pytensor.tensor import subtensor as pt_subtensor
 from pytensor.tensor.math import clip, cosh
 from pytensor.tensor.type import matrix, vector
+from tests import unittest_tools as utt
 from tests.link.jax.test_basic import compare_jax_and_py
 
 
@@ -257,3 +258,17 @@ def test_jax_lu(permute_l, p_indices, complex, shape: tuple[int]):
             compare_jax_and_py(graph_inputs=[A], graph_outputs=out, test_inputs=[x])
     else:
         compare_jax_and_py(graph_inputs=[A], graph_outputs=out, test_inputs=[x])
+
+
+@pytest.mark.parametrize("shape", [(5, 5), (5, 5, 5)], ids=["matrix", "batch"])
+def test_jax_lu_factor(shape):
+    rng = np.random.default_rng(utt.fetch_seed())
+    A = pt.tensor(name="A", shape=shape)
+    A_value = rng.normal(size=shape).astype(config.floatX)
+    out = pt_slinalg.lu_factor(A)
+
+    compare_jax_and_py(
+        [A],
+        out,
+        [A_value],
+    )