chore: import upstream snapshot with attribution

tests/python/codegen/test_target_codegen_static_init.py

@@ -0,0 +1,52 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+import ctypes
+
+import numpy as np
+
+import tvm
+from tvm.script import ir as I
+from tvm.script import tirx as T
+
+
+def test_static_init():
+    @tvm.register_global_func("test_static_callback")
+    def test_cb(sh, A):
+        assert isinstance(sh, ctypes.c_void_p)
+        return sh
+
+    @I.ir_module
+    class Module:
+        @T.prim_func(s_tir=True)
+        def ramp(A: T.handle):
+            T.func_attr({"global_symbol": "ramp"})
+            n = T.int64()
+            Ab = T.match_buffer(A, (n,), "int64")
+            T.call_packed(
+                "test_static_callback",
+                T.call_intrin("handle", "tirx.tvm_static_handle"),
+                Ab.data,
+            )
+
+    mod = Module
+    f = tvm.driver.build(mod, target="llvm")
+    a = tvm.runtime.tensor(np.zeros(10, dtype="int64"))
+    f(a)
+
+
+if __name__ == "__main__":
+    test_static_init()