alanmacd commented on code in PR #13046:
URL: https://github.com/apache/tvm/pull/13046#discussion_r992893204


##########
tests/python/relay/aot/test_cpp_aot.py:
##########
@@ -203,5 +203,39 @@ def test_pass_wrong_device_arg():
     # TODO write asserts for # and type of device.
 
 
+@pytest.mark.parametrize("target_kind", ["c", "llvm"])
+@pytest.mark.parametrize("input_name", ["input:0", "input@0", "input_0"])
+def test_aot_input_name_with_special_character(target_kind: str, input_name: 
str):
+    dtype = "float32"
+    input = relay.var(input_name, shape=(10, 5), dtype=dtype)
+    weight = relay.var("weight", shape=(1, 5), dtype=dtype)
+    output = relay.add(input, weight)
+    func = relay.Function([input, weight], output)
+
+    input_data = np.random.rand(10, 5).astype(dtype)
+    weight_data = np.random.rand(1, 5).astype(dtype)
+    expected_output = input_data + weight_data
+    params = {"weight": weight_data}
+
+    with tvm.transform.PassContext(opt_level=3, 
config={"tir.disable_vectorize": True}):
+        mod = tvm.relay.build(
+            tvm.IRModule.from_expr(func),
+            target=target_kind,
+            params=params,
+            executor=tvm.relay.backend.Executor("aot", {"interface-api": 
"packed"}),
+        )
+    temp_dir = tvm.contrib.utils.TempDirectory()
+    test_so_path = temp_dir / "test.so"
+    mod.export_library(test_so_path, cc="c++", options=["-std=gnu++17", "-g3", 
"-O0"])
+    # test both original name and mangled name
+    for name in ["input_0", input_name]:
+        loaded_mod = tvm.runtime.load_module(test_so_path)
+        runner = 
tvm.runtime.executor.AotModule(loaded_mod["default"](tvm.cpu(0)))
+        inputs = {name: input_data}
+        runner.set_input(**inputs)
+        runner.run()
+        assert (runner.get_output(0).asnumpy() == expected_output).all()

Review Comment:
   also add checks of `get_input `and `get_input_index `since they are separate 
code paths in aot_executor.cc?



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