| # 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 tvm |
| import tvm.testing |
| from tvm.relax.frontend import detach_params |
| from tvm.script.parser import relax as R |
| |
| |
| def test_detach_params(): |
| @R.function |
| def func(x: R.Tensor((2, 3), "float32")): |
| return x |
| |
| param = tvm.runtime.empty((3,), "float32") |
| mod = tvm.IRModule({"func": func.with_attr("params", [param])}) |
| detached_mod, detached_params = detach_params(mod) |
| |
| tvm.ir.assert_structural_equal(detached_mod, tvm.IRModule({"func": func})) |
| assert len(detached_params) == 1 |
| assert "func" in detached_params |
| assert isinstance(detached_params["func"], list) |
| assert len(detached_params["func"]) == 1 |
| tvm.testing.assert_allclose(detached_params["func"][0].numpy(), param.numpy()) |
| |
| |
| if __name__ == "__main__": |
| tvm.testing.main() |