Assert something about the output of function calls in `test_blas.py`

tests/tensor/test_blas.py

@@ -1901,27 +1901,25 @@ class TestGer(unittest_tools.OptimizationTestMixin):
         rng = np.random.default_rng(unittest_tools.fetch_seed())
         f = self.function([self.x, self.y], outer(self.x, self.y))
         self.assertFunctionContains(f, self.ger_destructive)
-        # TODO FIXME: This is NOT a test.
         f(
             rng.random((5)).astype(self.dtype),
             rng.random((4)).astype(self.dtype),
-        )
+        ).shape == (5, 4)
 
     def test_A_plus_outer(self):
         rng = np.random.default_rng(unittest_tools.fetch_seed())
         f = self.function([self.A, self.x, self.y], self.A + outer(self.x, self.y))
         self.assertFunctionContains(f, self.ger)
-        # TODO FIXME: This is NOT a test.
         f(
             rng.random((5, 4)).astype(self.dtype),
             rng.random((5)).astype(self.dtype),
             rng.random((4)).astype(self.dtype),
-        )
+        ).shape == (5, 4)
         f(
             rng.random((5, 4)).astype(self.dtype)[::-1, ::-1],
             rng.random((5)).astype(self.dtype),
             rng.random((4)).astype(self.dtype),
-        )
+        ).shape == (5, 4)
 
     def test_A_plus_scaled_outer(self):
         rng = np.random.default_rng(unittest_tools.fetch_seed())
@@ -1929,17 +1927,16 @@ class TestGer(unittest_tools.OptimizationTestMixin):
             [self.A, self.x, self.y], self.A + 0.1 * outer(self.x, self.y)
         )
         self.assertFunctionContains(f, self.ger)
-        # TODO FIXME: This is NOT a test.
         f(
             rng.random((5, 4)).astype(self.dtype),
             rng.random((5)).astype(self.dtype),
             rng.random((4)).astype(self.dtype),
-        )
+        ).shape == (5, 4)
         f(
             rng.random((5, 4)).astype(self.dtype)[::-1, ::-1],
             rng.random((5)).astype(self.dtype),
             rng.random((4)).astype(self.dtype),
-        )
+        ).shape == (5, 4)
 
     def test_scaled_A_plus_scaled_outer(self):
         rng = np.random.default_rng(unittest_tools.fetch_seed())
@@ -1951,17 +1948,16 @@ class TestGer(unittest_tools.OptimizationTestMixin):
         # Why gemm? This make the graph simpler did we test that it
         # make it faster?
         self.assertFunctionContains(f, self.gemm)
-        # TODO FIXME: This is NOT a test.
         f(
             rng.random((5, 4)).astype(self.dtype),
             rng.random((5)).astype(self.dtype),
             rng.random((4)).astype(self.dtype),
-        )
+        ).shape == (5, 4)
         f(
             rng.random((5, 4)).astype(self.dtype)[::-1, ::-1],
             rng.random((5)).astype(self.dtype),
             rng.random((4)).astype(self.dtype),
-        )
+        ).shape == (5, 4)
 
     def given_dtype(self, dtype, M, N):
         # test corner case shape and dtype
@@ -1971,17 +1967,16 @@ class TestGer(unittest_tools.OptimizationTestMixin):
             [self.A, self.x, self.y], self.A + 0.1 * outer(self.x, self.y)
         )
         self.assertFunctionContains(f, self.ger)
-        # TODO FIXME: This is NOT a test.
         f(
             rng.random((M, N)).astype(self.dtype),
             rng.random((M)).astype(self.dtype),
             rng.random((N)).astype(self.dtype),
-        )
+        ).shape == (5, 4)
         f(
             rng.random((M, N)).astype(self.dtype)[::-1, ::-1],
             rng.random((M)).astype(self.dtype),
             rng.random((N)).astype(self.dtype),
-        )
+        ).shape == (5, 4)
 
     def test_f32_0_0(self):
         return self.given_dtype("float32", 0, 0)
@@ -2024,7 +2019,7 @@ class TestGer(unittest_tools.OptimizationTestMixin):
             ],
         )
         self.assertFunctionContains(f, self.ger_destructive)
-        # TODO FIXME: This is NOT a test.
+        # TODO: Test something about the updated value of `A`
         f(
             rng.random((4)).astype(self.dtype),
             rng.random((5)).astype(self.dtype),