Suppress numpy warnings in python implementation of Elemwise

Author: ricardoV94

pytensor/tensor/elemwise.py

@@ -707,7 +707,8 @@ def perform(self, node, inputs, output_storage):
 
             nout = ufunc.nout
 
-        variables = ufunc(*ufunc_args, **ufunc_kwargs)
+        with np.errstate(all="ignore"):
+            variables = ufunc(*ufunc_args, **ufunc_kwargs)
 
         if nout == 1:
             variables = [variables]

tests/tensor/test_elemwise.py

@@ -1093,3 +1093,11 @@ def L_op(self, inputs, outputs, output_gradients):
         np.ones((12,), dtype=config.floatX),
         strict=True,
     )
+
+
+@pytest.mark.filterwarnings("error")
+def test_numpy_warning_suppressed():
+    x = pt.scalar("x")
+    y = pt.log(x)
+    fn = pytensor.function([x], y, mode=Mode(linker="py"))
+    assert fn(0) == -np.inf