Don't store fortran objects in ScipyGer tag

pytensor/tensor/blas.py

@@ -144,20 +144,20 @@
 # If check_init_y() == True we need to initialize y when beta == 0.
 def check_init_y():
     if check_init_y._result is None:
-        if not have_fblas:
+        if not have_fblas:  # pragma: no cover
             check_init_y._result = False
-
-        y = float("NaN") * np.ones((2,))
-        x = np.ones((2,))
-        A = np.ones((2, 2))
-        gemv = _blas_gemv_fns[y.dtype]
-        gemv(1.0, A.T, x, 0.0, y, overwrite_y=True, trans=True)
-        check_init_y._result = np.isnan(y).any()
+        else:
+            y = float("NaN") * np.ones((2,))
+            x = np.ones((2,))
+            A = np.ones((2, 2))
+            gemv = _blas_gemv_fns[y.dtype]
+            gemv(1.0, A.T, x, 0.0, y, overwrite_y=True, trans=True)
+            check_init_y._result = np.isnan(y).any()
 
     return check_init_y._result
 
 
-check_init_y._result = None
+check_init_y._result = None  # type: ignore
 
 
 class Gemv(Op):

pytensor/tensor/blas_scipy.py

@@ -19,17 +19,13 @@
 
 
 class ScipyGer(Ger):
-    def prepare_node(self, node, storage_map, compute_map, impl):
-        if impl == "py":
-            node.tag.local_ger = _blas_ger_fns[np.dtype(node.inputs[0].type.dtype)]
-
     def perform(self, node, inputs, output_storage):
         cA, calpha, cx, cy = inputs
         (cZ,) = output_storage
         # N.B. some versions of scipy (e.g. mine) don't actually work
         # in-place on a, even when I tell it to.
         A = cA
-        local_ger = node.tag.local_ger
+        local_ger = _blas_ger_fns[cA.dtype]
         if A.size == 0:
             # We don't have to compute anything, A is empty.
             # We need this special case because Numpy considers it

scripts/mypy-failing.txt

@@ -17,7 +17,6 @@ pytensor/scalar/basic.py
 pytensor/sparse/basic.py
 pytensor/sparse/type.py
 pytensor/tensor/basic.py
-pytensor/tensor/blas.py
 pytensor/tensor/blas_c.py
 pytensor/tensor/blas_headers.py
 pytensor/tensor/elemwise.py
@@ -31,4 +30,4 @@ pytensor/tensor/slinalg.py
 pytensor/tensor/subtensor.py
 pytensor/tensor/type.py
 pytensor/tensor/type_other.py
-pytensor/tensor/variable.py
+pytensor/tensor/variable.py

tests/tensor/test_blas_scipy.py

@@ -1,3 +1,5 @@
+import pickle
+
 import numpy as np
 import pytest
 
@@ -58,6 +60,17 @@ def test_scaled_A_plus_scaled_outer(self):
         self.assertFunctionContains(f, gemm_no_inplace)
         self.run_f(f)  # DebugMode tests correctness
 
+    def test_pickle(self):
+        out = ScipyGer(destructive=False)(self.A, self.a, self.x, self.y)
+        f = pytensor.function([self.A, self.a, self.x, self.y], out)
+        new_f = pickle.loads(pickle.dumps(f))
+
+        assert isinstance(new_f.maker.fgraph.toposort()[-1].op, ScipyGer)
+        assert np.allclose(
+            f(self.Aval, 1.0, self.xval, self.yval),
+            new_f(self.Aval, 1.0, self.xval, self.yval),
+        )
+
 
 class TestBlasStridesScipy(TestBlasStrides):
     mode = pytensor.compile.get_default_mode()