Suppress caching warning when compiling Numba functions

pytensor/link/numba/dispatch/basic.py

@@ -14,7 +14,7 @@ import scipy
 import scipy.special
 from llvmlite import ir
 from numba import types
-from numba.core.errors import TypingError
+from numba.core.errors import NumbaWarning, TypingError
 from numba.cpython.unsafe.tuple import tuple_setitem  # noqa: F401
 from numba.extending import box, overload
 
@@ -61,6 +61,13 @@ def global_numba_func(func):
 def numba_njit(*args, **kwargs):
     kwargs.setdefault("cache", config.numba__cache)
 
+    # Supress caching warnings
+    warnings.filterwarnings(
+        "ignore",
+        message='Cannot cache compiled function "numba_funcified_fgraph" as it uses dynamic globals',
+        category=NumbaWarning,
+    )
+
     if len(args) > 0 and callable(args[0]):
         return numba.njit(*args[1:], **kwargs)(args[0])
 

tests/link/numba/test_basic.py

@@ -7,6 +7,8 @@ from unittest import mock
 import numpy as np
 import pytest
 
+from tests.tensor.test_math_scipy import scipy
+
 
 numba = pytest.importorskip("numba")
 
@@ -1064,3 +1066,13 @@ def test_OpFromGraph():
     zv = np.ones((2, 2), dtype=config.floatX) * 5
 
     compare_numba_and_py(((x, y, z), (out,)), [xv, yv, zv])
+
+
+@pytest.mark.filterwarnings("error")
+def test_cache_warning_suppressed():
+    x = pt.vector("x", shape=(5,), dtype="float64")
+    out = pt.psi(x) * 2
+    fn = function([x], out, mode="NUMBA")
+
+    x_test = np.random.uniform(size=5)
+    np.testing.assert_allclose(fn(x_test), scipy.special.psi(x_test) * 2)