Move actx.np.linalg.norm() implementation bits from pyopencl to generic

arraycontext/fake_numpy.py

@@ -192,6 +192,26 @@ class BaseFakeNumpyLinalgNamespace:
         if ary.size == 0:
             return 0
 
+        if ord is None:
+            ord = 2
+
+        from arraycontext.impl import _is_meshmode_dofarray
+
+        if _is_meshmode_dofarray(ary):
+            from warnings import warn
+            warn("Taking an actx.np.linalg.norm of a DOFArray is deprecated. "
+                    "(DOFArrays use 2D arrays internally, and "
+                    "actx.np.linalg.norm should compute matrix norms of those.) "
+                    "This will stop working in 2022. "
+                    "Use meshmode.dof_array.flat_norm instead.",
+                    DeprecationWarning, stacklevel=2)
+
+            import numpy.linalg as la
+            return la.norm(
+                    [self.norm(_flatten_array(subary), ord=ord)
+                        for _, subary in serialize_container(ary)],
+                    ord=ord)
+
         if ord == np.inf:
             return self._array_context.np.max(abs(ary))
         elif isinstance(ord, Number) and ord > 0:

arraycontext/impl/pyopencl.py

@@ -164,28 +164,7 @@ def _flatten_array(ary):
 
 
 class _PyOpenCLFakeNumpyLinalgNamespace(BaseFakeNumpyLinalgNamespace):
-    def norm(self, ary, ord=None):
-        if ord is None:
-            ord = 2
-
-        from arraycontext.impl import _is_meshmode_dofarray
-
-        if _is_meshmode_dofarray(ary):
-            from warnings import warn
-            warn("Taking an actx.np.linalg.norm of a DOFArray is deprecated. "
-                    "(DOFArrays use 2D arrays internally, and "
-                    "actx.np.linalg.norm should compute matrix norms of those.) "
-                    "This will stop working in 2022. "
-                    "Use meshmode.dof_array.flat_norm instead.",
-                    DeprecationWarning, stacklevel=2)
-
-            import numpy.linalg as la
-            return la.norm(
-                    [self.norm(_flatten_array(subary), ord=ord)
-                        for _, subary in serialize_container(ary)],
-                    ord=ord)
-
-        return super().norm(ary, ord)
+    pass
 
 # }}}