Refactor test and change expected counts of Alloc that were due to BlasOpt

Author: ricardoV94

tests/tensor/test_basic.py

@@ -740,41 +740,43 @@ def check_allocs_in_fgraph(fgraph, n):
     def setup_method(self):
         self.rng = np.random.default_rng(seed=utt.fetch_seed())
 
-    def test_alloc_constant_folding(self):
+    @pytest.mark.parametrize(
+        "subtensor_fn, expected_grad_n_alloc",
+        [
+            # IncSubtensor1
+            (lambda x: x[:60], 1),
+            # AdvancedIncSubtensor1
+            (lambda x: x[np.arange(60)], 1),
+            # AdvancedIncSubtensor
+            (lambda x: x[np.arange(50), np.arange(50)], 1),
+        ],
+    )
+    def test_alloc_constant_folding(self, subtensor_fn, expected_grad_n_alloc):
         test_params = np.asarray(self.rng.standard_normal(50 * 60), self.dtype)
 
         some_vector = vector("some_vector", dtype=self.dtype)
         some_matrix = some_vector.reshape((60, 50))
         variables = self.shared(np.ones((50,), dtype=self.dtype))
-        idx = constant(np.arange(50))
-
-        for alloc_, (subtensor, n_alloc) in zip(
-            self.allocs,
-            [
-                # IncSubtensor1
-                (some_matrix[:60], 2),
-                # AdvancedIncSubtensor1
-                (some_matrix[arange(60)], 2),
-                # AdvancedIncSubtensor
-                (some_matrix[idx, idx], 1),
-            ],
-            strict=True,
-        ):
-            derp = pt_sum(dense_dot(subtensor, variables))
 
-            fobj = pytensor.function([some_vector], derp, mode=self.mode)
-            grad_derp = pytensor.grad(derp, some_vector)
-            fgrad = pytensor.function([some_vector], grad_derp, mode=self.mode)
+        subtensor = subtensor_fn(some_matrix)
 
-            topo_obj = fobj.maker.fgraph.toposort()
-            assert sum(isinstance(node.op, type(alloc_)) for node in topo_obj) == 0
+        derp = pt_sum(dense_dot(subtensor, variables))
+        fobj = pytensor.function([some_vector], derp, mode=self.mode)
+        assert (
+            sum(isinstance(node.op, Alloc) for node in fobj.maker.fgraph.apply_nodes)
+            == 0
+        )
+        # TODO: Assert something about the value if we bothered to call it?
+        fobj(test_params)
 
-            topo_grad = fgrad.maker.fgraph.toposort()
-            assert (
-                sum(isinstance(node.op, type(alloc_)) for node in topo_grad) == n_alloc
-            ), (alloc_, subtensor, n_alloc, topo_grad)
-            fobj(test_params)
-            fgrad(test_params)
+        grad_derp = pytensor.grad(derp, some_vector)
+        fgrad = pytensor.function([some_vector], grad_derp, mode=self.mode)
+        assert (
+            sum(isinstance(node.op, Alloc) for node in fgrad.maker.fgraph.apply_nodes)
+            == expected_grad_n_alloc
+        )
+        # TODO: Assert something about the value if we bothered to call it?
+        fgrad(test_params)
 
     def test_alloc_output(self):
         val = constant(self.rng.standard_normal((1, 1)), dtype=self.dtype)