# 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. from tvm import relay import tvm.relay.module as _module import tvm.relay.transform as _transform def test_eta_expand_basic(): x = relay.var('x', 'int32') orig = relay.Function([x], x) mod = _module.Module.from_expr(orig) seq = _transform.Sequential([_transform.EtaExpand()]) with _transform.PassContext(opt_level=3): mod = seq(mod) got = mod["main"] y = relay.var('y', 'int32') expected = relay.Function([y], orig(y)) gv = relay.GlobalVar("gv") mod[gv] = expected mod = _transform.InferType()(mod) expected = mod["gv"] assert(relay.analysis.alpha_equal(got, expected)) if __name__ == "__main__": test_eta_expand_basic()