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2 changes: 1 addition & 1 deletion src/runtime/aot_executor/aot_executor.cc
Original file line number Diff line number Diff line change
Expand Up @@ -191,7 +191,7 @@ int AotExecutor::GetInputIndex(const std::string& name) {
return i;
}
}
return -1;
ICHECK(false) << "Invalid input name.";
}

std::string AotExecutor::GetInputName(int index) {
Expand Down
38 changes: 38 additions & 0 deletions tests/python/relay/aot/test_cpp_aot.py
Original file line number Diff line number Diff line change
Expand Up @@ -248,5 +248,43 @@ def test_aot_input_name_with_special_character(target_kind: str, input_name: str
assert (runner.get_output(0).asnumpy() == expected_output).all()


@pytest.mark.parametrize("target_kind", ["c", "llvm"])
def test_aot_incorrect_input_name(target_kind: str):
"""Test passing incorrect input name."""
dtype = "float32"
correct_input_name = "input"
incorrect_input_name = "input1"
input1 = relay.var(correct_input_name, shape=(10, 5), dtype=dtype)
weight = relay.var("weight", shape=(1, 5), dtype=dtype)
output = relay.add(input1, weight)
func = relay.Function([input1, weight], output)

input_data = np.random.rand(10, 5).astype(dtype)
weight_data = np.random.rand(1, 5).astype(dtype)
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"])

loaded_mod = tvm.runtime.load_module(test_so_path)
runner = tvm.runtime.executor.AotModule(loaded_mod["default"](tvm.cpu(0)))
inputs = {incorrect_input_name: input_data}

error_regex = r"Invalid input name."
with pytest.raises(tvm.TVMError, match=error_regex):
runner.set_input(**inputs)

with pytest.raises(tvm.TVMError, match=error_regex):
runner.get_input_index(incorrect_input_name)


if __name__ == "__main__":
tvm.testing.main()